3,318 research outputs found
Archytas of Tarentum
No full textIn the beginning of the thesis, the history of mathematics is presented, especially the history of Greek mathematics. It is followed by the presentation of a Greek mathematician, Archytas of Tarentum, who is the focal person in the thesis. The core of the thesis is dedicated to two of his major contributions in the field of mathematics, namely the problem of doubling the cube, which was solved with the help of a curve, which is now named Archytas’ curve after him, and finding out that the product of two consecutive integers is never a square number. In this conclusion I also involved a bit of computing, as the solutions are presented using the C++ programming language
Paulusiella richteri subsp. richteri Mandl 1974
No full text<i>Paulusiella richteri richteri</i> Mandl, 1974 <p> <b>Distribution in Iran.</b> Sistan & Baluchestan (Makran, Chabahar) (Mandl 1974), Iran (no locality cited) (Cate 2007).</p> <p> <b>General distribution.</b> Endemic to Iran (Cate 2007).</p>Published as part of <i>Platia, Giuseppe & Ghahari, Hassan, 2016, An annotated checklist of click-beetles (Coleoptera, Elateridae) from Iran, pp. 239-275 in Zootaxa 4137 (2)</i> on page 252, DOI: 10.11646/zootaxa.4137.2.6, <a href="http://zenodo.org/record/255211">http://zenodo.org/record/255211</a>
CT-FAN: A Multilingual dataset for Fake News Detection
No full textBy 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
Therates vitalisi subsp. ida Mandl 1954
No full text<i>Therates vitalisi ida</i> Mandl, 1954 <p>Figs 19–21, 47, 71, 72, 103, 104, 167.</p> <p> <i>Therates fruhstorferi ida</i> Mandl, 1954: 159 (Type locality— China, Kuatun, Fukien).</p> <p> <i>Therates fruhstorferi ida</i> Mandl, 1954 — Mandl 1955: 335; Cassola 1985: 510; Hua 2002: 5.</p> <p> <i>Therates fruhstorferi vitalisi</i> W. Horn, 1913 — Wiesner 1988: 40, 1992: 92; Lorenz 1998: 38, 2005: 117; Puchkov & Matalin 2003: 115.</p> <p> <i>Therates vitalisi</i> W. Horn, 1913 — Wang 2009: 110; Putchkov & Matalin 2017: 245; Wiesner 2020: 95.</p> <p> <b>Type material.</b> HOLOTYPE, ♂ (by original designation)—“Kuatun (2300 m), 27.40n. Br., 117.40ö. L., J. Klapperich, 25.6.1938 (Fukien)” [printed violet label], “Type <i>Therates</i>, <i>Fruhstorferi</i>, <i>Ida</i> m, Ing. K. Mandl ” [printed and handwritten red label], “Holotypus” [printed red label], “ <i>Therates fruhstorferi</i>, <i>ida</i> Mandl” [typed white label], “ MUSEUM KOENIG, BONN ” [printed orange label] (ZFMK). PARATYPES: 1♀ —“ Kuatun (2300 m) 27.40n. Br., 117.40ö. L., J. Klapperich, 30.5.1938 (Fukien)“ [printed violet label], “ CoType <i>Therates Fruhstorferi Ida</i> m., Ing. K.Mandl “ [printed and hand-written red label], “ Coll. Ing. K. Mandl ” [printed light blue label]; 1♀ —“KUATUN, FUKIEN, China, 6.8.46, (TSCHUNG SEN.)” [printed and hand-written white label], “ParaType <i>Therates Fruhstorferi</i>, ssp. <i>Ida</i> m., Ing. K.Mandl “ [printed and hand-written red label], “ Coll. Ing. K. Mandl ” [printed light blue label]; 1♀ — “KUATUN, FUKIEN, China, 21.7.46, (TSCHUNG SEN.)” [printed and hand-written white label], “ParaType <i>Therates</i>, <i>Fruhstorferi</i> ssp., <i>Ida</i> m., Ing. K. Mandl ” [printed and hand-written red label], “ Coll. Ing. K. Mandl ” [printed light blue label] (all NHMB).</p> <p> <b>Addition material.</b> CHINA: 1♀ —Kuatun, Fukien /Tschung Sen/, 6 Sept. 1946, coll. Klapperich (JW).</p> <p> <b>Reference.</b> CHINA, <i>Zhejiang Prov.</i>: Wuyanlin (Wang 2009).</p> <p> <b>Diagnosis.</b> This subspecies is distinguished from the nominotypical subspecies by distinctly transverse labrum in male—LW/LL = 1.14 <i>vs.</i> LW/LL = 1.0–1.08 (Fig. 71 <i>vs.</i> Fig. 65, 69, 70), less serrated antennomeres 9–10, as well as red-brown or brown fore- and middle femora.</p> <p> <b>Redescription.</b> TL = 11.8 mm in male, 12.3–13.0 mm (mean = 12.78 mm, n = 4) in females.</p> <p>Head shining blue with violet reflection; orbital plates indistinctly striated in posterior third; frons smooth, slightly elevated, wide semi-circular (see above), practically vertical, slightly expanded forward (see at side), frontal sulci deep and poorly convergent in anterior 2/3, clearly divergent in posterior third; occiput slightly concave in anterior margin. Mandibles in male brown underside, yellow-brown topside with light-brown teeth and apical molar; in females black except yellow-brown basal third of topside. Labial palpi yellow-brownish, except brown apical palpomeres; palpomeres 1 and 2 of maxillary palpi light brown, palpomeres 3 and 4 dark brown. Antennae do not extend posteriorly to the shoulders, scape brown on anterior side and black on posterior side; antennomeres 2–5 black with indistinctly blue tinge and brown apices, antennomeres 9 and 10 in male with serrated anterior lower margins; in female less delated with slightly protruding margins (Fig. 47). Labrum distinctly transverse in male(Fig. 71), LW/LL = 1.14, indistinctly transverse in females (Fig. 72), LW/LL = 1.0–1.07 (mean = 1.05, n = 4), blackbrownish with medium-sized or small apical yellow spot separated from central apical teeth.</p> <p>Pronotum shining blue with light violet tinge; indistinctly transverse, PW/PL = 1.0–1.07 (mean = 1.03, n = 5), apical lobe practically equal wide throughout; thorax shining blue with violet reflection.</p> <p>Fore and middle femora red-brown or brown with blue-tinged base and knees; hind femora black with blueviolet lustre except pale-yellow base; fore and middle tibiae red-brown; hind tibiae black or brown-black, all tibia with blue tinge; tarsi black with light blue tinge; HTbL/HTaL = 1.21–1.27 (mean = 1.24, n = 5).</p> <p>Elytra black-blue with purple reflection, practically sub-parallel, EL/EW = 1.98–2.1 (mean = 2.02, n = 5); punctuation in basal half except humeral area deep and regular, then shallow and sparse, apical quarter practically smooth; scutellum black with blue tinge; apical margin indistinctly cut. Elytral pattern presented by small basal portion of humeral lunule, small basal dot poorly visible in some specimens and elongated slightly oblique central dot (Figs 19, 21, 103, 104).</p> <p>Aedeagus with short sharply curved blunt apex and distinct lateral carinae (Fig. 167); AL = 2.9, EL/AL = 2.52.</p> <p> <b>Distribution.</b> CHINA: Fujian, Zhejiang Provinces (Fig. 184).</p>Published as part of <i>Matalin, Andrey V. & Wiesner, Jürgen, 2023, Revision of the Therates fruhstorferi complex (Coleoptera, Cicindelidae), pp. 401-433 in Zootaxa 5256 (5)</i> on pages 413-414, DOI: 10.11646/zootaxa.5256.5.1, <a href="http://zenodo.org/record/7758872">http://zenodo.org/record/7758872</a>
CT-FAN-22 corpus: A Multilingual dataset for Fake News Detection
No full textData 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
Myriochila philippinensis Mandl 1956
No full text<i>Myriochila philippinensis</i> (Mandl, 1956) <p>(Figs. 1–7)</p> <p> <i>Cicindela philippinensis</i> Mandl, 1956: 396 –397 (description).</p> <p> <i>Myriochile philippinensis</i> (Mandl, 1956): Wiesner, 1980: 126 (in list of Philippine tiger beetles). <i>Myriochile</i> ? <i>philippinensis</i> (Mandl, 1956): Wiesner, 1992: 210 (in world catalogue of tiger beetles).</p> <p> <b>Type material examined.</b> Holotype (male, Catalogue Number 63, Naturhistorisches Museum Basel), labelled "Pilar. Abra Philippinen R.P. Niedurny", labels see Figure 7.</p> <p> <b>Notes on the holotype.</b> The specimen is in a regular state of conservation. It seems to have been originally pinned and later glued onto a cardboard. Left antenna, left foreleg, left hind leg, and distal part (tibia and tarsus) of right hind leg are missing. The right elytron was broken and glued to the abdomen; its apical margin is broken off.</p> <p> <b>Notes on the type locality.</b> Pilar (ca. N 17°25' E 120°36', ca. 300 m a.s.l.) is a municipality in Abra Province in the northern part of Luzon Island, the Philippines.</p> <p> <b>Redescription.</b> Measurements: Total length ca. 8.2 mm. Head width 2.25 mm. Pronotum width 1.60 mm, length at midline 1.54 mm. Sutural length of left elytron 4.81 mm.</p> <p>Colour and pilosity (Figs. 1– 4): Head dorsally bronze black with metallic purple to greenish reflection, ventrally with strong blue reflection; antennal plate and suborbital declivity to genae with strong bluish green reflection; clypeus metallic bronze with green reflection. Labrum pale yellow to testaceous, with black apical margin. Eyes dark brown to grey. Mandibles basally testaceous, apically and on teeth dark rufous to black, with strong green reflection at mid-length. Labial and maxillary palpi testaceous except all terminal palpomeres metallic green, and penultimate segment of maxillary palpi dark brown. Antenna: scape to antennomere 4 bronze black with greenish and purple reflection; antennomeres 5–11 brown, entirely covered with white pilosity. Pronotum bronze with metallic green to bluish reflection; posterior lateral tubercles metallic green with strong reflection of bronze on both sides; sides of front and hind lobe black with bronze to green reflection. Scutellum bronze to purple. Elytra bronze black, with basally greenish reflection, with purple shimmer (more on sides); grooves green, their centres often blue; white to yellowish markings strongly reduced; epipleura dark testaceous, with strong purple reflection. Sides and venter (as far as visible) bronze black. Legs almost entirely with metallic reflection, except trochanters dark testaceous; coxae and femora chiefly green, tibiae chiefly bronze, tarsi basally green tending to violet and blue towards apex; apices of femora and tibiae polychromous. Maxilla and labial palps with some long white hairs, especially penultimate segment of labial palp with dense brush. Sides of prothorax with some white hairs ventrally (Fig. 3). Venter with numerous long, slender, white hairs.</p> <p>Structures: Head fully glabrous, except two pairs of short orbital setae (anteriorly and at mid-length of eye). Frons finely shagreened, vertex finely, irregularly wrinkled, orbitals longitudinally creased (Fig. 2). Genae and tempora longitudinally striate and somewhat shiny (Fig. 3). Orbitals and frons almost in the same plane. Eyes large, their smallest distance 0.39 times head width. Clypeus (Fig. 4) narrow, finely shagreened, without setae. Labrum (Fig. 4) shiny and almost smooth, with hardly discernable reticulate microstructure, medially protruded, 2.2 times as wide as long, with two pairs of setae, one laterally and one near midline; foremargin with one distinct median tooth and two blunt lobes laterally of it. Mandible long, with four slender teeth (including apex). Antenna (Figs. 1, 5) long, in male reaching to middle of elytra, antennal segments cylindrical, segments 1–4 shiny, with extremely fine microstructure, segments 5–11 matt.</p> <p>Pronotum (Fig. 2) minimally wider than long, with moderately convex sides, hardly constricted before apex and base; transverse furrows near anterior and posterior margins shallow, but distinct, sinuate; midline hardly impressed; disk with coarse wrinkles; sides finely shagreened and with some superficial furrows. Scutellum finely shagreened and with some transverse wrinkles.</p> <p>Elytra (Fig. 1) with numerous small shallow grooves and several deeper pits (some of them bearing short setae); deep and rather large pits distributed along lateral margins, and along medial margin next to scutellum, in a row in some distance from suture, and in a double row medially of humerus. Apex (Fig. 6) almost rectangular, with an extremely short sutural spine. Posterior margin with a minute, hardly discernable tooth.</p> <p>Legs very slender, moderately long. Tarsomeres 1–3 of foreleg (Fig. 5) moderately widened, almost twice as wide as tarsomeres 4 and 5; third tarsomere 2.9 times as long as wide.</p> <p>Venter (as far as visible in the glued specimen) matt, densely shagreened and with strong punctures at hair base.</p> <p>Aedeagus: Not dissected due to the condition of the unique specimen. Apex of median lobe externally visible (Fig. 6).</p> <p> <b>Comparative notes:</b> <i>Myriochila philippinensis</i> is similar to <i>M. sinica</i>. Mandl (1956) stated that <i>M. philippinensis</i> is smaller than <i>M. sinica</i>, but his measurement ("Länge: 7 mm ") was incorrect. We have studied specimens of <i>M. sinica</i> from Thailand, Laos, and Vietnam in the Natural History Museum Vienna, and two males have a similarly small size as the holotype of <i>M. philippinensis</i>. The elytral colour pattern of <i>M. sinica</i> is rather variable. We found differences only in the structure of the labrum and the antenna: <i>Myriochila philippinensis</i> has a median labrum tooth accompanied by two short blunt lobes (Fig. 4), whereas <i>M. sinica</i> has three subequal teeth. <i>Myriochila philippinensis</i> has cylindrical antennal segments 3 and 4 (Fig. 5), whereas they are compressed in <i>M. sinica</i>. Whether these differences are sufficient to hold <i>M. philippinensis</i> as a distinct species, or are a matter of intraspecific variation or individual aberration must be decided after the study of more specimens from the Philippines.</p>Published as part of <i>Zettel, Herbert & Pangantihon, Clister V., 2015, On the identity of the tiger beetle Cicindela philippinensis Mandl, 1956 (Coleoptera: Carabidae: Cicindelinae), pp. 585-588 in Zootaxa 3941 (4)</i> on pages 585-586, DOI: 10.11646/zootaxa.3941.4.7, <a href="http://zenodo.org/record/234951">http://zenodo.org/record/234951</a>
A critical review of the available evidence on the diagnosis and clinical features of CPPD: do we really need imaging?
No full textImaging has been playing an important role in the pathogenetic and clinical characterisation of many rheumatic diseases, especially in the most recent years with the advent of many new, highly technological and promising techniques. Calcium pyrophosphate deposition disease (CPPD) benefited also from these new techniques, most of which can readily identify calcium crystals. Nowadays, imaging is used mainly to identify crystals in joints but given the complexity of CPPD, imaging should be used with an “holistic” approach in order to gain insights in the pathogenesis, spectrum of clinical manifestations and natural history of the disease. Furthermore, overlap or association of CPPD with other prevalent diseases of the elderly makes the differential diagnosis challenging. In this review, we provide a critical review of the current knowledge on the use of imaging both for the identification of crystals and for its application in clinical practice as an aid for determining the impact of the disease on patients. Key Points • CPPD is a complex disease with a wide spectrum of clinical manifestations and understanding of pathogenetic mechanisms and clinical phenotypes is essential for correct characterisation • Imaging has made important advances regarding identification of CPPD in recent years, and new, more sophisticated techniques are under investigation • Imaging has the potential to improve our knowledge on pathogenesis and clinical phenotypes of CPPD • Imaging techniques have to be tested thoroughly for reliability, discrimination and sensitivity to change before they can be implemented in clinical trials
Oxychila gracillima subsp. weyrauchi Mandl 1967
No full text<i>Oxychila gracillima weyrauchi</i> Mandl, 1967: 433 <p>HOLOTYPE male (TCOL139). Perú, Aramango, río Marañon, 3500 mts, IV.1960, Wosfkowski leg.</p> <p>Remarks: the original publication does not mention where the holotype is deposited. The abbreviation mts stands for meters.</p>Published as part of <i>Córdoba, Silvia Patricia, Sánchez, Francisco Rolando & Bezdjian, Laura Patricia, 2023, Types of Carabidae (Insecta: Coleoptera) deposited at the entomological collection of Instituto- Fundación Miguel Lillo, Tucumán, Argentina, pp. 151-189 in Zootaxa 5311 (2)</i> on page 154, DOI: 10.11646/zootaxa.5311.2.1, <a href="http://zenodo.org/record/8094048">http://zenodo.org/record/8094048</a>
Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
No full text
Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository.
Experiments:
avg_rank_exp.py: Experiments for training QNNs using training data of varying Schmidt rank
nlihx_exp.py: Experiments for training QNNs using linearly dependent data
ortho_exp.py: Experiments for training QNNs using orthogonal training data
Visualisation/Analysis of data (plots.py):
- Generates plots for the experiments above either from the data in experimental_results or from the processed results (see Data).
- Processes results to extract information from raw data in experimental_results (to change behavior see the function calls at the end of plots.py).
Data:
The raw data for the experiments is available in the experiment dataset.
</p
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