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2021 ◽  
Author(s):  
Pengsheng Dong ◽  
Guochen Dong

Table S1: Mineral association of samples from the Daocheng batholith; Table S2: LA-ICP-MS U-Pb isotopic data for zircons from the Daocheng batholith; Table S3: Hf isotopic data for zircons from the Daocheng batholith; Table S4: Trace elements data for zircons from the Daocheng batholith; Table S5: Major and trace elements data for the Daocheng batholith; Table S6: Whole-rock Sr-Nd isotopic data of the Daocheng batholith; Table S7: Representative microprobe analyses of amphibole from the Daocheng batholith; Table S8: Partition coefficient for minerals used in geochemical modeling.


2021 ◽  
Author(s):  
Pengsheng Dong ◽  
Guochen Dong

Table S1: Mineral association of samples from the Daocheng batholith; Table S2: LA-ICP-MS U-Pb isotopic data for zircons from the Daocheng batholith; Table S3: Hf isotopic data for zircons from the Daocheng batholith; Table S4: Trace elements data for zircons from the Daocheng batholith; Table S5: Major and trace elements data for the Daocheng batholith; Table S6: Whole-rock Sr-Nd isotopic data of the Daocheng batholith; Table S7: Representative microprobe analyses of amphibole from the Daocheng batholith; Table S8: Partition coefficient for minerals used in geochemical modeling.


Author(s):  
S. A. M. Dolmans ◽  
B. Walrave ◽  
S. Read ◽  
N. van Stijn

AbstractResearch on academic engagement and technology transfer or commercialization offers important insights into the relationship between characteristics, activities and abilities of individual academic researchers, with outcomes such as successful technology transfer and commercialization. In particular, the activity of boundary spanning proves central in the successful transfer and commercialization of university developed technologies. However, the process by which academic researchers become boundary spanners remains relatively unexplored. This investigation serves to shed new light on the matter. We draw on an in-depth case study of a large European publicly funded initiative, directed to stimulate industry adoption of a university-developed technology across Europe. Our rich dataset is a result of following the project from start to finish, triangulating from multiple sources over a three-year period. Our analyses offer novel insight into the role of perspective taking as a mechanism both enabling academics to understand knowledge boundaries faced during engagement activities and a critical input to developing and improving boundary spanning abilities. Our findings offer important implications for research on academic engagement and technology commercialization.


Author(s):  
Kai Guo ◽  
*Jing Chen ◽  
Jun Lei ◽  
Tan Jin

In the assessment of English as a foreign language (EFL) reading proficiency, text adaptation is an important and challenging task for teachers. Although an increasing number of technology tools are available to facilitate text adaptation, research exploring how teachers engage with technology-enhanced text adaptation (TETA) is scarce. Drawing on a three-dimension framework consisting of behavioral, cognitive, and affective criteria of engagement, this case study investigated four Chinese EFL teachers' engagement with TETA facilitated by Eng-Editor, an online text complexity evaluation tool, in preparing reading assessment materials. Data from multiple sources were collected in the study. Firstly, the teachers' original and adapted texts were analyzed to reveal their behavioral engagement. Secondly, individual interviews were conducted with each teacher to unveil their cognitive and affective engagement. Results show diverse characteristics of teacher engagement with TETA along the three-dimension framework; moreover, various factors that influenced their engagement are also revealed. The paper concludes by providing suggestions for designing training programs to support teachers' employment of TETA.


2021 ◽  
Vol 8 (3) ◽  
pp. 1278-1293
Author(s):  
Fathul Hudoyo

Geographical Information System is an information system based on computer work that enters, manages, manipulates and analyzes data and provides descriptions and produces geographically referenced data.By using the Geographic Information System, it is hoped that it will be easier for the people of Indonesia to find out which locations or provinces are most affected by Covid-19. The use of a geographic information system (GIS) concerning the presentation of data and information in the form of maps can be used as a tool in making a decision.Research uses web service technology to collect data and integrate services from multiple sources. The web service protocol and architecture used is (REST), with independent data exchange using the JSON format. The application (GIS) will later be tested using black box testing methods and automation testing.


Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1842
Author(s):  
Alina S. Puig

Distribution of improved germplasm of Theobroma cacao is essential for meeting the increased demand for cocoa beans. In cacao, the introduction of new diseases is prevented by exchanging material through a national and international quarantine system. In 2020, virus symptoms were observed on plants in a quarantine greenhouse, and Cacao mild mosaic virus (CaMMV) was detected in one plant using published diagnostic primers. However, no virus was detected in other symptomatic plants. To address high pathogen diversity and low virus titer in recently infected plants, a nested PCR test was developed based on 15 CaMMV sequences from Trinidad and Puerto Rico. The test was validated on a subset (n = 30) of plants in the greenhouse, of which 29 tested positive. Most infections are thought to have occurred during the later stage of the quarantine period, possibly due to spread by mealybugs. However, phylogenetic analysis revealed the presence of three strains, suggesting that it was introduced on scionwood from multiple sources. Results of PCR assays on different leaf tissues indicate that the virus is unevenly distributed and that petiole tissue should be used in molecular diagnostics. The movement of infected scionwood is a major dissemination pathway for CaMMV but can be managed through careful screening.


2021 ◽  
Author(s):  
KMA Solaiman ◽  
Tao Sun ◽  
Alina Nesen ◽  
Bharat Bhargava ◽  
Michael Stonebraker

We present a system for integrating multiple sources of data for finding missing persons. This system can assist authorities in finding children during amber alerts, mentally challenged persons who have wandered off, or person-of-interests in an investigation. Authorities search for the person in question by reaching out to acquaintances, checking video feeds, or by looking into the previous histories relevant to the investigation. In the absence of any leads, authorities lean on public help from sources such as tweets or tip lines. A missing person investigation requires information from multiple modalities and heterogeneous data sources to be combined.<div>Existing cross-modal fusion models use separate information models for each data modality and lack the compatibility to utilize pre-existing object properties in an application domain. A framework for multimodal information retrieval, called Find-Them is developed. It includes extracting features from different modalities and mapping them into a standard schema for context-based data fusion. Find-Them can integrate application domains with previously derived object properties and can deliver data relevant for the mission objective based on the context and needs of the user. Measurements on a novel open-world cross-media dataset show the efficacy of our model. The objective of this work is to assist authorities in finding uses of Find-Them in missing person investigation.</div>


2021 ◽  
Author(s):  
KMA Solaiman ◽  
Tao Sun ◽  
Alina Nesen ◽  
Bharat Bhargava ◽  
Michael Stonebraker

We present a system for integrating multiple sources of data for finding missing persons. This system can assist authorities in finding children during amber alerts, mentally challenged persons who have wandered off, or person-of-interests in an investigation. Authorities search for the person in question by reaching out to acquaintances, checking video feeds, or by looking into the previous histories relevant to the investigation. In the absence of any leads, authorities lean on public help from sources such as tweets or tip lines. A missing person investigation requires information from multiple modalities and heterogeneous data sources to be combined.<div>Existing cross-modal fusion models use separate information models for each data modality and lack the compatibility to utilize pre-existing object properties in an application domain. A framework for multimodal information retrieval, called Find-Them is developed. It includes extracting features from different modalities and mapping them into a standard schema for context-based data fusion. Find-Them can integrate application domains with previously derived object properties and can deliver data relevant for the mission objective based on the context and needs of the user. Measurements on a novel open-world cross-media dataset show the efficacy of our model. The objective of this work is to assist authorities in finding uses of Find-Them in missing person investigation.</div>


Author(s):  
Cong Liang ◽  
Matthew Chi Hei Yeung ◽  
Alan Kai Ming Au

Recent years have witnessed the rapid expansion of the home-sharing business. The home-sharing services provided by Airbnb not only allow the homeowner to earn extra income by renting out part of the property to the potential renters but also provides the renters an authentic travel experience by living with residents. The emerging business model of Airbnb may bring about some uncertainties to rental housing markets. This study aims to explore an important issue – whether the home-sharing services provided by Airbnb would exacerbate the problem of housing affordability in Hong Kong. By examining the data from multiple sources such as the website of Airbnb and Census statistics from the Hong Kong Government, and housing rental transactions from property agents’ website via several econometric methods, we found that (1) the arrival of Airbnb would drive up housing rent rate around 3.6–4%; (2) The Airbnb activities would increase the rent-to-income ratio by 4%–4.7% in Hong Kong; (3) short-term home-sharing provided by Airbnb under current circumstance would lead to housing unaffordability in Hong Kong. It is suggested that regulations/guidelines on home-sharing should set a quota or limit the number of offering from long-term rentals to short-term rentals.


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