2,697 research outputs found
Mandl, Anna, Austrian
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/401265Surname: MANDL. Given Name(s) or Initials: ANNA. Military Service Number or Last Known Location: AUSTRIAN. Missing, Wounded and Prisoner of War Enquiry Card Index Number: F-363 58849.220911
Item: [2016.0049.33558] "Mandl, Anna, Austrian
Quantum mechanics
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A. C. Phillips Computing for Scien
Statistical Physics
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition E. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A. C. Phillips Computing for Scien
Therates topali Mandl, Dr. K. Mandl 1972
7. Therates topali Mandl (Fig. 52) Therates topali Mandl 1972: 108 - 110, f. 4b, c. Therates topali. Wiesner 1988: 19, 20, f. 22, 76, 77, 239, 306, 400; Wiesner 1992: 90; Sawada and Wiesner 1997: 78, 79, f. 4; Cassola 2004: 25. Type depository. Holotype male in HNHM. Six paratype males in HNHM, three in SDEI, one paratype female in JWCG. Type status. Holotype male! Type labels: “ VIETNAM: Cuc phuong, Ninh binh, 3-10.V.1966, Exp. Gy. TOPÁL ” [type written, white]; “Nr. 313, collected, by lamp” [type written, white]; “Holotypus, Therates topali, Mandl 1972 ” [type written, red]. Paratypes! Type labels: “ VIETNAM: Cuc phuong, Ninh binh, 5- 18.V.1966, Exp. Gy. TOPÁL” [type written, white]; “Nr. 385, from trap, in soil” [type written, white]; “Paratypus, Therates topali, Mandl 1972 ” [type written, red]. Paratype! Type labels: “Hoa-Binh (Tonkin), (A. de Cooman). Coll. J. Clermont ” [printed, with black borders]; “Paratypus, Therates topali, Mandl 1972 ” [typewritten, red]. Paratype! Type labels: “Hoa-Binh, Tonkin” [printed]; “Clermont” [handwritten]; “Paratypus, Therates topali, Mandl 1972 ” [typewritten, red]. Diagnosis. Distinguished by the combination of long slender humeral lunule reaching or nearly reaching the central dot and the light color of the elytral apex, which is generally absent or, if present, restricted to the sutural area. Re-description. Size: Total length (without labrum) 5.8 mm- 7.7 mm (mean= 6.8 mm, n=38). Head: Shining greenish black. Mandibles yellowish, brownish distally in females, teeth brownish marginally. Labrum (male Fig. 58, female Fig. 59) barely wider than long, yellowish, with six apical teeth (seven in one female) and one lateral tooth. Labial and maxillary palpi yellowish. Antennae lanceolate, extending posteriorally behind elytral shoulders, slightly shorter in the female, scape with a single apical bristle, antennomeres 2 to 5 glabrous, antennomeres 6 to 11 finely and evenly pubescent; scape yellowish above, black on underside, all the other antennal segments blackish. Clypeus glabrous. Frons smooth with two shallow bumps or one shallow furrow in the posterior part of the orbital plates. Thorax: Pronotum shining greenish black, as long as wide, constricted in front and at back, transverse furrows strong, middle line and lateral lines nearly obsolete. Elytra: Shining brownish black, with basal and apical humps, shallow punctate in front, nearly absent in apical half (Fig. 53). Apex with or without angular lateral corner and sutural corner, in the first case slightly recurved between. Maculation composed of a long narrow yellow humeral lunule, a yellow basal dot, and a yellow central dot (Figs. 54-57). The humeral lunule is reaching or nearly reaching the central dot. Apex is transparent brownish or has a small yellow dot, not or nearly reaching the apical humps. Ventral aspect: Venter black. Legs yellowish, tibiae and tarsomeres somewhat darkened distally. Aedeagus: ( Fig. 60) straight with short knobbed tip, total length 1.9 mm. Distribution. Vietnam (Son La, Cao Bang, Hoa Binh, Vinh Phuc, Nin Binh, Quang Binh). Localities. VIETNAM, Nin Binh, Cuc Phuong, 15.v.1966 (HNHM), 2.-11.v.1991 (JWCG), Cuc Phuong N. Park, 440 m, 24.iv.-28.iv.2012 (HSJC), Ha nam ninh, Cuc phuong, 2.-11.v.1991 (ZSMC), Hoa Binh, 5 km W of Tan Son, 21.-23.iv. 2010, 938 m (HNHM), 6 km W of Tan Son, 22.iv. 2010, 938 m (HNHM), Vinh phuc, Tam Dao, v.1996 (JMCC), Cao Bang, BaBe Nat. Park, 7.-11.v. 1997, 180 m, forest (RNFC), Son La (RNFC), Quang Binh, 1 km N of Cha Lo, 400 m, 11.-24.iv.2010 (NHMB). Remarks. As stated by Wiesner (1988: 19) and Sawada and Wiesner (1997: 78) the type series of Mandl’s topali included specimens of four different species (topali, vietnamensis, probsti and jendeki).Published as part of Wiesner, Jürgen, 2013, The chennelli group of the Genus Therates Latreille (Coleoptera: Cicindelidae) 114. Contribution towards the knowledge of Cicindelidae, pp. 1-86 in Insecta Mundi 2013 (315) on pages 14-15, DOI: 10.5281/zenodo.517698
Wissensmanagement
Wissensmanagement / Gabi Reinmann-Rothmeier ; Heinz Mandl. - In: Psychologie in Erziehung und Unterricht. 48. 2001. S. 76 f
Einführung in die Thematik der Arbeitsgruppe "Schuleingangsdiagnose ..." [Abstract]
Einführung in die Thematik der Arbeitsgruppe "Schuleingangsdiagnose ..." / Andreas Krapp ; Heinz Mandl. - In: Deutsche Gesellschaft für Psychologie: Bericht über den ... Kongreß der ... 30. 1976. 2. (1977). S. 217 f
CT-FAN: A Multilingual dataset for Fake News Detection
By downloading the data, you agree with the terms & conditions mentioned below:
Data Access: The data in the research collection may only be used for research purposes. Portions of the data are copyrighted and have commercial value as data, so you must be careful to use them only for research purposes.
Summaries, analyses and interpretations of the linguistic properties of the information may be derived and published, provided it is impossible to reconstruct the information from these summaries. You may not try identifying the individuals whose texts are included in this dataset. You may not try to identify the original entry on the fact-checking site. You are not permitted to publish any portion of the dataset besides summary statistics or share it with anyone else.
We grant you the right to access the collection's content as described in this agreement. You may not otherwise make unauthorised commercial use of, reproduce, prepare derivative works, distribute copies, perform, or publicly display the collection or parts of it. You are responsible for keeping and storing the data in a way that others cannot access. The data is provided free of charge.
Citation
Please cite our work as
@InProceedings{clef-checkthat:2022:task3,
author = {K{\"o}hler, Juliane and Shahi, Gautam Kishore and Stru{\ss}, Julia Maria and Wiegand, Michael and Siegel, Melanie and Mandl, Thomas},
title = "Overview of the {CLEF}-2022 {CheckThat}! Lab Task 3 on Fake News Detection",
year = {2022},
booktitle = "Working Notes of CLEF 2022---Conference and Labs of the Evaluation Forum",
series = {CLEF~'2022},
address = {Bologna, Italy},}
@article{shahi2021overview,
title={Overview of the CLEF-2021 CheckThat! lab task 3 on fake news detection},
author={Shahi, Gautam Kishore and Stru{\ss}, Julia Maria and Mandl, Thomas},
journal={Working Notes of CLEF},
year={2021}
}
Problem Definition: Given the text of a news article, determine whether the main claim made in the article is true, partially true, false, or other (e.g., claims in dispute) and detect the topical domain of the article. This task will run in English and German.
Task 3: Multi-class fake news detection of news articles (English) Sub-task A would detect fake news designed as a four-class classification problem. Given the text of a news article, determine whether the main claim made in the article is true, partially true, false, or other. The training data will be released in batches and roughly about 1264 articles with the respective label in English language. Our definitions for the categories are as follows:
False - The main claim made in an article is untrue.
Partially False - The main claim of an article is a mixture of true and false information. The article contains partially true and partially false information but cannot be considered 100% true. It includes all articles in categories like partially false, partially true, mostly true, miscaptioned, misleading etc., as defined by different fact-checking services.
True - This rating indicates that the primary elements of the main claim are demonstrably true.
Other- An article that cannot be categorised as true, false, or partially false due to a lack of evidence about its claims. This category includes articles in dispute and unproven articles.
Cross-Lingual Task (German)
Along with the multi-class task for the English language, we have introduced a task for low-resourced language. We will provide the data for the test in the German language. The idea of the task is to use the English data and the concept of transfer to build a classification model for the German language.
Input Data
The data will be provided in the format of Id, title, text, rating, the domain; the description of the columns is as follows:
ID- Unique identifier of the news article
Title- Title of the news article
text- Text mentioned inside the news article
our rating - class of the news article as false, partially false, true, other
Output data format
public_id- Unique identifier of the news article
predicted_rating- predicted class
Sample File
public_id, predicted_rating
1, false
2, true
IMPORTANT!
We have used the data from 2010 to 2022, and the content of fake news is mixed up with several topics like elections, COVID-19 etc.
Baseline: For this task, we have created a baseline system. The baseline system can be found at https://zenodo.org/record/6362498
Related Work
Shahi GK. AMUSED: An Annotation Framework of Multi-modal Social Media Data. arXiv preprint arXiv:2010.00502. 2020 Oct 1.https://arxiv.org/pdf/2010.00502.pdf
G. K. Shahi and D. Nandini, “FakeCovid – a multilingual cross-domain fact check news dataset for covid-19,” in workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020. http://workshop-proceedings.icwsm.org/abstract?id=2020_14
Shahi, G. K., Dirkson, A., & Majchrzak, T. A. (2021). An exploratory study of covid-19 misinformation on twitter. Online Social Networks and Media, 22, 100104. doi: 10.1016/j.osnem.2020.100104
Shahi, G. K., Struß, J. M., & Mandl, T. (2021). Overview of the CLEF-2021 CheckThat! lab task 3 on fake news detection. Working Notes of CLEF.
Nakov, P., Da San Martino, G., Elsayed, T., Barrón-Cedeno, A., Míguez, R., Shaar, S., ... & Mandl, T. (2021, March). The CLEF-2021 CheckThat! lab on detecting check-worthy claims, previously fact-checked claims, and fake news. In European Conference on Information Retrieval (pp. 639-649). Springer, Cham.
Nakov, P., Da San Martino, G., Elsayed, T., Barrón-Cedeño, A., Míguez, R., Shaar, S., ... & Kartal, Y. S. (2021, September). Overview of the CLEF–2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 264-291). Springer, Cham
Schulische Interaktion als Bedingung für die Förderung und Hemmung kognitiver Strukturiertheit
Schulische Interaktion als Bedingung für die Förderung und Hemmung kognitiver Strukturiertheit / Günter L. Huber ; Heinz Mandl. - In: Bericht über den ... Kongreß der Deutsche Gesellschaft für Psychologie. 30. 1976 (1977). 2. S. 311 f
CT-FAN-22 corpus: A Multilingual dataset for Fake News Detection
Data Access: The data in the research collection provided may only be used for research purposes. Portions of the data are copyrighted and have commercial value as data, so you must be careful to use them only for research purposes. Due to these restrictions, the collection is not open data. Please fill out the form and upload the Data Sharing Agreement at Google Form.
Citation
Please cite our work as
@article{shahi2021overview,
title={Overview of the CLEF-2021 CheckThat! lab task 3 on fake news detection},
author={Shahi, Gautam Kishore and Stru{\ss}, Julia Maria and Mandl, Thomas},
journal={Working Notes of CLEF},
year={2021}
}
Problem Definition: Given the text of a news article, determine whether the main claim made in the article is true, partially true, false, or other (e.g., claims in dispute) and detect the topical domain of the article. This task will run in English and German.
Task 3: Multi-class fake news detection of news articles (English) Sub-task A would detect fake news designed as a four-class classification problem. The training data will be released in batches and roughly about 1264 articles with the respective label in English language. Given the text of a news article, determine whether the main claim made in the article is true, partially true, false, or other. Our definitions for the categories are as follows:
False - The main claim made in an article is untrue.
Partially False - The main claim of an article is a mixture of true and false information. The article contains partially true and partially false information but cannot be considered 100% true. It includes all articles in categories like partially false, partially true, mostly true, miscaptioned, misleading etc., as defined by different fact-checking services.
True - This rating indicates that the primary elements of the main claim are demonstrably true.
Other- An article that cannot be categorised as true, false, or partially false due to a lack of evidence about its claims. This category includes articles in dispute and unproven articles.
Cross-Lingual Task (German)
Along with the multi-class task for the English language, we have introduced a task for low resourced language. We will provide the data for test in the German language. The idea of the task is to use the English data and the concept of transfer to build a classification model for the German language.
Input Data
The data will be provided in the format of Id, title, text, rating, the domain; the description of the columns is as follows:
ID- Unique identifier of the news article
Title- Title of the news article
text- Text mentioned inside the news article
our rating - class of the news article as false, partially false, true, other
Output data format
public_id- Unique identifier of the news article
predicted_rating- predicted class
Sample File
public_id, predicted_rating
1, false
2, true
Additional data for Training
To train your model, the participant can use additional data with a similar format; some datasets are available over the web. We don't provide the background truth for those datasets. For testing, we will not use any articles from other datasets. Some of the possible sources:
Fakenews Classification Datasets
Fake News Detection Challenge KDD 2020
FakeNewsNet
IMPORTANT!
We have used the data from 2010 to 2022, and the content of fake news is mixed up with several topics like elections, COVID-19 etc.
Evaluation Metrics
This task is evaluated as a classification task. We will use the F1-macro measure for the ranking of teams. here is no limit to the number of submissions, we will evaluate the last submission from each team. Please mention your team name in each submission.
Baseline: For this task, we have created a baseline system. The baseline system can be found at https://zenodo.org/record/6362498
Submission Link: Codalab Page
Related Work
Shahi GK. AMUSED: An Annotation Framework of Multi-modal Social Media Data. arXiv preprint arXiv:2010.00502. 2020 Oct 1.https://arxiv.org/pdf/2010.00502.pdf
G. K. Shahi and D. Nandini, “FakeCovid – a multilingual cross-domain fact check news dataset for covid-19,” in workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020. http://workshop-proceedings.icwsm.org/abstract?id=2020_14
Shahi, G. K., Dirkson, A., & Majchrzak, T. A. (2021). An exploratory study of covid-19 misinformation on twitter. Online Social Networks and Media, 22, 100104. doi: 10.1016/j.osnem.2020.100104
Shahi, G. K., Struß, J. M., & Mandl, T. (2021). Overview of the CLEF-2021 CheckThat! lab task 3 on fake news detection. Working Notes of CLEF.
Nakov, P., Da San Martino, G., Elsayed, T., Barrón-Cedeno, A., Míguez, R., Shaar, S., ... & Mandl, T. (2021, March). The CLEF-2021 CheckThat! lab on detecting check-worthy claims, previously fact-checked claims, and fake news. In European Conference on Information Retrieval (pp. 639-649). Springer, Cham.
Nakov, P., Da San Martino, G., Elsayed, T., Barrón-Cedeño, A., Míguez, R., Shaar, S., ... & Kartal, Y. S. (2021, September). Overview of the CLEF–2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 264-291). Springer, Cham
Therates topali Mandl 1972
89. Therates topali Mandl, 1972 (Fig. 89, 284) Therates topali: Wiesner 1988: 19, 20; 2013a: 14, 15; Matalin and Wiesner 2016: 11. Published data. NORTHWEST: Hoa Binh (Wiesner 1988: 20), Hoa Binh (5 km W Tan Son) (Wiesner 2013a: 14), Son La (Wiesner 2013a: 15), Vinh Phuc (Tam Dao) (Wiesner 2013a: 15); NORTHEAST: Cao Bang (Ba Be National Park) (Wiesner 2013a: 15), Phu Tho (Xuan Son) (Matalin and Wiesner, 2016: 11), Tuyen Quang (Na Hang) (Matalin and Wiesner, 2016: 11); RED RIVER DELTA: Ninh Binh (Cuc Phuong) (Wiesner 1988: 20; 2013: 14); NORTH CENTRAL COAST: Quang Binh, (1 km N Cha Lo) (Wiesner 2013a: 15). New records. NORTHWEST: Hoa Binh, Pa Co Hang Kia Nature Reserve, 700-900m, leg. L. Bartolozzi, S. Bambi, F. Cianferoni, G. Mazza, E. Orbach, 5-7.vi.2013, 1 female (MZUF); NORTH CENTRAL COAST: Quang Binh, Minh Hoa distr., Yen Hop, leg. A. Deviatkin, 23.iv.1999, 1 male (MPU), Quang Binh, Ke Bang National Park, 17-30.iii.1999, leg. N. Belyaeva, 1 female (MPU). Distribution. Vietnam (Cao Bang, Hoa Binh, Ninh Binh, Phu Tho, Quang Binh, Son La, Tuyen Quang, Vinh Phuc).Published as part of Wiesner, Jürgen, Bandinelli, Aligi & Matalin, Andrey, 2017, Notes on the tiger beetles (Coleoptera: Carabidae: Cicindelinae) of Vietnam. 135. Contribution towards the knowledge of Cicindelinae, pp. 1-131 in Insecta Mundi 2017 (589) on pages 35-36, DOI: 10.5281/zenodo.516936
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