--- _id: '46524' author: - first_name: Philipp full_name: Wotschel, Philipp id: '89529' last_name: Wotschel - first_name: Christoph full_name: Vogelsang, Christoph id: '4245' last_name: Vogelsang - first_name: Thomas full_name: Janzen, Thomas id: '89329' last_name: Janzen - first_name: Jana full_name: Meier, Jana id: '28542' last_name: Meier orcid: https://orcid.org/0000-0002-6756-9440 citation: ama: 'Wotschel P, Vogelsang C, Janzen T, Meier J. Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz von Lehramtsstudierenden. In: ; 2023.' apa: Wotschel, P., Vogelsang, C., Janzen, T., & Meier, J. (2023). Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz von Lehramtsstudierenden. Sektionstagung empirische Bildungsforschung der Arbeitsgruppe für Empirische Pädagogische Forschung (AEPF) sowie der Kommission für Bildungsplanung, Bildungsorganisation und Bildungsrecht (KBBB), Potsdam. bibtex: '@inproceedings{Wotschel_Vogelsang_Janzen_Meier_2023, title={Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz von Lehramtsstudierenden}, author={Wotschel, Philipp and Vogelsang, Christoph and Janzen, Thomas and Meier, Jana}, year={2023} }' chicago: Wotschel, Philipp, Christoph Vogelsang, Thomas Janzen, and Jana Meier. “Als Lehrkraft Gut Beraten? Entwicklung Und Erprobung Eines Handlungsnahen Prüfungsformates Zur Erfassung von Beratungskompetenz von Lehramtsstudierenden,” 2023. ieee: P. Wotschel, C. Vogelsang, T. Janzen, and J. Meier, “Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz von Lehramtsstudierenden,” presented at the Sektionstagung empirische Bildungsforschung der Arbeitsgruppe für Empirische Pädagogische Forschung (AEPF) sowie der Kommission für Bildungsplanung, Bildungsorganisation und Bildungsrecht (KBBB), Potsdam, 2023. mla: Wotschel, Philipp, et al. Als Lehrkraft Gut Beraten? Entwicklung Und Erprobung Eines Handlungsnahen Prüfungsformates Zur Erfassung von Beratungskompetenz von Lehramtsstudierenden. 2023. short: 'P. Wotschel, C. Vogelsang, T. Janzen, J. Meier, in: 2023.' conference: end_date: 2023-09-15 location: Potsdam name: Sektionstagung empirische Bildungsforschung der Arbeitsgruppe für Empirische Pädagogische Forschung (AEPF) sowie der Kommission für Bildungsplanung, Bildungsorganisation und Bildungsrecht (KBBB) start_date: 2023-09-13 date_created: 2023-08-16T09:34:27Z date_updated: 2023-08-16T09:34:30Z department: - _id: '4' - _id: '33' language: - iso: eng status: public title: Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz von Lehramtsstudierenden type: conference user_id: '28542' year: '2023' ... --- _id: '46518' abstract: - lang: eng text: "Purpose: This study addresses the limitations of current short abstracts of DBpedia entities, which often lack a comprehensive overview due to their creating method (i.e., selecting the first two-three sentences from the full DBpedia abstracts).\r\nMethodology: We leverage pre-trained language models to generate abstractive summaries of DBpedia abstracts in six languages (English, French, German, Italian, Spanish, and Dutch). We performed several experiments to assess the quality of generated summaries by language models. In particular, we evaluated the generated summaries using human judgments and automated metrics (Self-ROUGE and BERTScore). Additionally, we studied the correlation between human judgments and automated metrics in evaluating the generated summaries under different aspects: informativeness, coherence, conciseness, and fluency.\r\nFindings: Pre-trained language models generate summaries more concise and informative than existing short abstracts. Specifically, BART-based models effectively overcome the limitations of DBpedia short abstracts, especially for longer ones.\r\nMoreover, we show that BERTScore and ROUGE-1 are reliable metrics for assessing the informativeness and coherence of the generated summaries with respect to the full DBpedia abstracts. We also find a negative correlation between conciseness and human ratings. Furthermore, fluency evaluation remains challenging without human judgment.\r\nValue: This study has significant implications for various applications in machine learning and natural language processing that rely on DBpedia resources. By providing succinct and comprehensive summaries, our approach enhances the quality of DBpedia abstracts and contributes to the semantic web community" author: - first_name: Hamada Mohamed Abdelsamee full_name: Zahera, Hamada Mohamed Abdelsamee id: '72768' last_name: Zahera orcid: 0000-0003-0215-1278 - first_name: Fedor full_name: Vitiugin, Fedor last_name: Vitiugin - first_name: Mohamed full_name: Sherif, Mohamed id: '67234' last_name: Sherif orcid: https://orcid.org/0000-0002-9927-2203 - first_name: Carlos full_name: Castillo, Carlos last_name: Castillo - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: ama: 'Zahera HMA, Vitiugin F, Sherif M, Castillo C, Ngonga Ngomo A-C. Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study. In: SEMANTiCS. ; 2023.' apa: 'Zahera, H. M. A., Vitiugin, F., Sherif, M., Castillo, C., & Ngonga Ngomo, A.-C. (2023). Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study. SEMANTiCS. SEMANTiCS 2023, Leipzig, Germany.' bibtex: '@inproceedings{Zahera_Vitiugin_Sherif_Castillo_Ngonga Ngomo_2023, title={Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study}, booktitle={SEMANTiCS}, author={Zahera, Hamada Mohamed Abdelsamee and Vitiugin, Fedor and Sherif, Mohamed and Castillo, Carlos and Ngonga Ngomo, Axel-Cyrille}, year={2023} }' chicago: 'Zahera, Hamada Mohamed Abdelsamee, Fedor Vitiugin, Mohamed Sherif, Carlos Castillo, and Axel-Cyrille Ngonga Ngomo. “Using Pre-Trained Language Models for Abstractive DBpedia Summarization: A Comparative Study.” In SEMANTiCS, 2023.' ieee: 'H. M. A. Zahera, F. Vitiugin, M. Sherif, C. Castillo, and A.-C. Ngonga Ngomo, “Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study,” presented at the SEMANTiCS 2023, Leipzig, Germany, 2023.' mla: 'Zahera, Hamada Mohamed Abdelsamee, et al. “Using Pre-Trained Language Models for Abstractive DBpedia Summarization: A Comparative Study.” SEMANTiCS, 2023.' short: 'H.M.A. Zahera, F. Vitiugin, M. Sherif, C. Castillo, A.-C. Ngonga Ngomo, in: SEMANTiCS, 2023.' conference: end_date: 2023-09-23 location: Leipzig, Germany name: SEMANTiCS 2023 start_date: 2023-09-20 date_created: 2023-08-16T08:58:12Z date_updated: 2023-08-16T10:09:29Z keyword: - dice enexa kiam ngonga porque sherif zahera language: - iso: eng publication: SEMANTiCS status: public title: 'Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study' type: conference user_id: '67234' year: '2023' ... --- _id: '45558' abstract: - lang: eng text: Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Information System Graffiti in Germany project (Ingrid) closes this gap by dealing with graffiti image collections that have been made available to the project for public use. Within Ingrid, the graffiti images are collected, digitized and annotated. With this work, we aim to support the rapid access to a comprehensive data source on Ingrid targeted especially by researchers. In particular, we present IngridKG, an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR principles. We weekly update IngridKG by augmenting the new annotated graffiti to our knowledge graph. Our generation pipeline applies RDF data conversion, link discovery and data fusion approaches to the original data. The current version of IngridKG contains 460,640,154 triples and is linked to 3 other knowledge graphs by over 200,000 links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications. author: - first_name: Mohamed full_name: Sherif, Mohamed id: '67234' last_name: Sherif orcid: https://orcid.org/0000-0002-9927-2203 - first_name: Ana Alexandra full_name: Morim da Silva, Ana Alexandra last_name: Morim da Silva - first_name: Svetlana full_name: Pestryakova, Svetlana last_name: Pestryakova - first_name: Abdullah Fathi Ahmed full_name: Ahmed, Abdullah Fathi Ahmed id: '29670' last_name: Ahmed - first_name: Sven full_name: Niemann, Sven id: '6593' last_name: Niemann - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: ama: 'Sherif M, Morim da Silva AA, Pestryakova S, Ahmed AFA, Niemann S, Ngonga Ngomo A-C. IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University; 2023. doi:10.5281/ZENODO.7560242' apa: 'Sherif, M., Morim da Silva, A. A., Pestryakova, S., Ahmed, A. F. A., Niemann, S., & Ngonga Ngomo, A.-C. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University. https://doi.org/10.5281/ZENODO.7560242' bibtex: '@book{Sherif_Morim da Silva_Pestryakova_Ahmed_Niemann_Ngonga Ngomo_2023, title={IngridKG: A FAIR Knowledge Graph of Graffiti}, DOI={10.5281/ZENODO.7560242}, publisher={LibreCat University}, author={Sherif, Mohamed and Morim da Silva, Ana Alexandra and Pestryakova, Svetlana and Ahmed, Abdullah Fathi Ahmed and Niemann, Sven and Ngonga Ngomo, Axel-Cyrille}, year={2023} }' chicago: 'Sherif, Mohamed, Ana Alexandra Morim da Silva, Svetlana Pestryakova, Abdullah Fathi Ahmed Ahmed, Sven Niemann, and Axel-Cyrille Ngonga Ngomo. IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University, 2023. https://doi.org/10.5281/ZENODO.7560242.' ieee: 'M. Sherif, A. A. Morim da Silva, S. Pestryakova, A. F. A. Ahmed, S. Niemann, and A.-C. Ngonga Ngomo, IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University, 2023.' mla: 'Sherif, Mohamed, et al. IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University, 2023, doi:10.5281/ZENODO.7560242.' short: 'M. Sherif, A.A. Morim da Silva, S. Pestryakova, A.F.A. Ahmed, S. Niemann, A.-C. Ngonga Ngomo, IngridKG: A FAIR Knowledge Graph of Graffiti, LibreCat University, 2023.' date_created: 2023-06-09T10:09:34Z date_updated: 2023-08-16T10:23:55Z department: - _id: '34' doi: 10.5281/ZENODO.7560242 project: - _id: '104' grant_number: '289287267' name: 'INGRID: INGRID: Informationssystem Graffiti in Deutschland' publisher: LibreCat University status: public title: 'IngridKG: A FAIR Knowledge Graph of Graffiti' type: research_data user_id: '67234' year: '2023' ... --- _id: '46542' abstract: - lang: eng text: Multiprotein adsorption from complex body fluids represents a highly important and complicated phenomenon in medicine. In this work, multiprotein adsorption from diluted human serum at gold and oxidized iron surfaces is investigated at different serum concentrations and pH values. Adsorption-induced changes in surface topography and the total amount of adsorbed proteins are quantified by atomic force microscopy (AFM) and polarization-modulation infrared reflection absorption spectroscopy (PM-IRRAS), respectively. For both surfaces, stronger protein adsorption is observed at pH 6 compared to pH 7 and pH 8. PM-IRRAS furthermore provides some qualitative insights into the pH-dependent alterations in the composition of the adsorbed multiprotein films. Changes in the amide II/amide I band area ratio and in particular side-chain IR absorption suggest that the increased adsorption at pH 6 is accompanied by a change in protein film composition. Presumably, this is mostly driven by the adsorption of human serum albumin, which at pH 6 adsorbs more readily and thereby replaces other proteins with lower surface affinities in the resulting multiprotein film. article_number: '6060' author: - first_name: Jingyuan full_name: Huang, Jingyuan last_name: Huang - first_name: Yunshu full_name: Qiu, Yunshu last_name: Qiu - first_name: Felix full_name: Lücke, Felix last_name: Lücke - first_name: Jiangling full_name: Su, Jiangling last_name: Su - first_name: Guido full_name: Grundmeier, Guido id: '194' last_name: Grundmeier - first_name: Adrian full_name: Keller, Adrian id: '48864' last_name: Keller orcid: 0000-0001-7139-3110 citation: ama: Huang J, Qiu Y, Lücke F, Su J, Grundmeier G, Keller A. Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy. Molecules. 2023;28(16). doi:10.3390/molecules28166060 apa: Huang, J., Qiu, Y., Lücke, F., Su, J., Grundmeier, G., & Keller, A. (2023). Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy. Molecules, 28(16), Article 6060. https://doi.org/10.3390/molecules28166060 bibtex: '@article{Huang_Qiu_Lücke_Su_Grundmeier_Keller_2023, title={Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy}, volume={28}, DOI={10.3390/molecules28166060}, number={166060}, journal={Molecules}, publisher={MDPI AG}, author={Huang, Jingyuan and Qiu, Yunshu and Lücke, Felix and Su, Jiangling and Grundmeier, Guido and Keller, Adrian}, year={2023} }' chicago: Huang, Jingyuan, Yunshu Qiu, Felix Lücke, Jiangling Su, Guido Grundmeier, and Adrian Keller. “Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy.” Molecules 28, no. 16 (2023). https://doi.org/10.3390/molecules28166060. ieee: 'J. Huang, Y. Qiu, F. Lücke, J. Su, G. Grundmeier, and A. Keller, “Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy,” Molecules, vol. 28, no. 16, Art. no. 6060, 2023, doi: 10.3390/molecules28166060.' mla: Huang, Jingyuan, et al. “Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy.” Molecules, vol. 28, no. 16, 6060, MDPI AG, 2023, doi:10.3390/molecules28166060. short: J. Huang, Y. Qiu, F. Lücke, J. Su, G. Grundmeier, A. Keller, Molecules 28 (2023). date_created: 2023-08-16T10:51:48Z date_updated: 2023-08-16T10:53:08Z department: - _id: '302' doi: 10.3390/molecules28166060 intvolume: ' 28' issue: '16' keyword: - Chemistry (miscellaneous) - Analytical Chemistry - Organic Chemistry - Physical and Theoretical Chemistry - Molecular Medicine - Drug Discovery - Pharmaceutical Science language: - iso: eng publication: Molecules publication_identifier: issn: - 1420-3049 publication_status: published publisher: MDPI AG status: public title: Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy type: journal_article user_id: '48864' volume: 28 year: '2023' ... --- _id: '46543' abstract: - lang: eng text: The influence of nanoscale surface topography on protein adsorption is highly important for numerous applications in medicine and technology. Herein, ferritin adsorption at flat and nanofaceted, single-crystalline Al2O3 surfaces is investigated using atomic force microscopy and X-ray photoelectron spectroscopy. The nanofaceted surfaces are generated by the thermal annealing of Al2O3 wafers at temperatures above 1000 °C, which leads to the formation of faceted saw-tooth-like surface topographies with periodicities of about 160 nm and amplitudes of about 15 nm. Ferritin adsorption at these nanofaceted surfaces is notably suppressed compared to the flat surface at a concentration of 10 mg/mL, which is attributed to lower adsorption affinities of the newly formed facets. Consequently, adsorption is restricted mostly to the pattern grooves, where the proteins can maximize their contact area with the surface. However, this effect depends on the protein concentration, with an inverse trend being observed at 30 mg/mL. Furthermore, different ferritin adsorption behavior is observed at topographically similar nanofacet patterns fabricated at different annealing temperatures and attributed to different step and kink densities. These results demonstrate that while protein adsorption at solid surfaces can be notably affected by nanofacet patterns, fine-tuning protein adsorption in this way requires the precise control of facet properties. article_number: '12808' author: - first_name: Bhanu K. full_name: Pothineni, Bhanu K. last_name: Pothineni - first_name: Sabrina full_name: Kollmann, Sabrina last_name: Kollmann - first_name: Xinyang full_name: Li, Xinyang last_name: Li - first_name: Guido full_name: Grundmeier, Guido id: '194' last_name: Grundmeier - first_name: Denise J. full_name: Erb, Denise J. last_name: Erb - first_name: Adrian full_name: Keller, Adrian id: '48864' last_name: Keller orcid: 0000-0001-7139-3110 citation: ama: Pothineni BK, Kollmann S, Li X, Grundmeier G, Erb DJ, Keller A. Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces. International Journal of Molecular Sciences. 2023;24(16). doi:10.3390/ijms241612808 apa: Pothineni, B. K., Kollmann, S., Li, X., Grundmeier, G., Erb, D. J., & Keller, A. (2023). Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces. International Journal of Molecular Sciences, 24(16), Article 12808. https://doi.org/10.3390/ijms241612808 bibtex: '@article{Pothineni_Kollmann_Li_Grundmeier_Erb_Keller_2023, title={Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces}, volume={24}, DOI={10.3390/ijms241612808}, number={1612808}, journal={International Journal of Molecular Sciences}, publisher={MDPI AG}, author={Pothineni, Bhanu K. and Kollmann, Sabrina and Li, Xinyang and Grundmeier, Guido and Erb, Denise J. and Keller, Adrian}, year={2023} }' chicago: Pothineni, Bhanu K., Sabrina Kollmann, Xinyang Li, Guido Grundmeier, Denise J. Erb, and Adrian Keller. “Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces.” International Journal of Molecular Sciences 24, no. 16 (2023). https://doi.org/10.3390/ijms241612808. ieee: 'B. K. Pothineni, S. Kollmann, X. Li, G. Grundmeier, D. J. Erb, and A. Keller, “Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces,” International Journal of Molecular Sciences, vol. 24, no. 16, Art. no. 12808, 2023, doi: 10.3390/ijms241612808.' mla: Pothineni, Bhanu K., et al. “Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces.” International Journal of Molecular Sciences, vol. 24, no. 16, 12808, MDPI AG, 2023, doi:10.3390/ijms241612808. short: B.K. Pothineni, S. Kollmann, X. Li, G. Grundmeier, D.J. Erb, A. Keller, International Journal of Molecular Sciences 24 (2023). date_created: 2023-08-16T10:52:25Z date_updated: 2023-08-16T10:53:00Z department: - _id: '302' doi: 10.3390/ijms241612808 intvolume: ' 24' issue: '16' keyword: - Inorganic Chemistry - Organic Chemistry - Physical and Theoretical Chemistry - Computer Science Applications - Spectroscopy - Molecular Biology - General Medicine - Catalysis language: - iso: eng publication: International Journal of Molecular Sciences publication_identifier: issn: - 1422-0067 publication_status: published publisher: MDPI AG status: public title: Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces type: journal_article user_id: '48864' volume: 24 year: '2023' ... --- _id: '46459' author: - first_name: N’Dah Jean full_name: Kouagou, N’Dah Jean last_name: Kouagou - first_name: Stefan full_name: Heindorf, Stefan last_name: Heindorf - first_name: Caglar full_name: Demir, Caglar last_name: Demir - first_name: Axel-Cyrille Ngonga full_name: Ngomo, Axel-Cyrille Ngonga last_name: Ngomo citation: ama: 'Kouagou NJ, Heindorf S, Demir C, Ngomo A-CN. Neural Class Expression Synthesis (Extended Abstract). In: NeSy. Vol 3432. CEUR Workshop Proceedings. CEUR-WS.org; 2023:430–431.' apa: Kouagou, N. J., Heindorf, S., Demir, C., & Ngomo, A.-C. N. (2023). Neural Class Expression Synthesis (Extended Abstract). NeSy, 3432, 430–431. bibtex: '@inproceedings{Kouagou_Heindorf_Demir_Ngomo_2023, series={CEUR Workshop Proceedings}, title={Neural Class Expression Synthesis (Extended Abstract)}, volume={3432}, booktitle={NeSy}, publisher={CEUR-WS.org}, author={Kouagou, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngomo, Axel-Cyrille Ngonga}, year={2023}, pages={430–431}, collection={CEUR Workshop Proceedings} }' chicago: Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis (Extended Abstract).” In NeSy, 3432:430–431. CEUR Workshop Proceedings. CEUR-WS.org, 2023. ieee: N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. N. Ngomo, “Neural Class Expression Synthesis (Extended Abstract),” in NeSy, 2023, vol. 3432, pp. 430–431. mla: Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis (Extended Abstract).” NeSy, vol. 3432, CEUR-WS.org, 2023, pp. 430–431. short: 'N.J. Kouagou, S. Heindorf, C. Demir, A.-C.N. Ngomo, in: NeSy, CEUR-WS.org, 2023, pp. 430–431.' date_created: 2023-08-08T11:46:27Z date_updated: 2023-08-16T11:04:23Z intvolume: ' 3432' language: - iso: eng page: 430–431 publication: NeSy publisher: CEUR-WS.org series_title: CEUR Workshop Proceedings status: public title: Neural Class Expression Synthesis (Extended Abstract) type: conference user_id: '87189' volume: 3432 year: '2023' ... --- _id: '46572' abstract: - lang: eng text: Indonesian is classified as underrepresented in the Natural Language Processing (NLP) field, despite being the tenth most spoken language in the world with 198 million speakers. The paucity of datasets is recognized as the main reason for the slow advancements in NLP research for underrepresented languages. Significant attempts were made in 2020 to address this drawback for Indonesian. The Indonesian Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT pre-trained language model. The second benchmark, Indonesian Language Evaluation Montage (IndoLEM), was presented in the same year. These benchmarks support several tasks, including Named Entity Recognition (NER). However, all NER datasets are in the public domain and do not contain domain-specific datasets. To alleviate this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset in the religious domain that adheres to a meticulously designed annotation guideline. Since Indonesia has the world’s largest Muslim population, we build the dataset from the Indonesian translation of the Quran. The dataset includes 2475 named entities representing 18 different classes. To assess the annotation quality of IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT fine-tuning. The results reveal that the first model outperforms the second model achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable evaluation metric for Indonesian NER tasks in the aforementioned domain, widening the research’s domain range. author: - first_name: Ria Hari full_name: Gusmita, Ria Hari last_name: Gusmita - first_name: Asep Fajar full_name: Firmansyah, Asep Fajar last_name: Firmansyah - first_name: Diego full_name: Moussallem, Diego last_name: Moussallem - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille last_name: Ngonga Ngomo citation: ama: 'Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In: Natural Language Processing and Information Systems. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-35320-8_12' apa: 'Gusmita, R. H., Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In Natural Language Processing and Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_12' bibtex: '@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham}, title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran}, DOI={10.1007/978-3-031-35320-8_12}, booktitle={Natural Language Processing and Information Systems}, publisher={Springer Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }' chicago: 'Gusmita, Ria Hari, Asep Fajar Firmansyah, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” In Natural Language Processing and Information Systems. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-35320-8_12.' ieee: 'R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,” in Natural Language Processing and Information Systems, Cham: Springer Nature Switzerland, 2023.' mla: 'Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” Natural Language Processing and Information Systems, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_12.' short: 'R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.' conference: end_date: 2023-06-23 location: Derby, UK name: International Conference on Applications of Natural Language to Information Systems (NLDB) 2023 start_date: 2023-06-21 date_created: 2023-08-17T12:41:45Z date_updated: 2023-08-17T12:52:03Z department: - _id: '574' doi: 10.1007/978-3-031-35320-8_12 language: - iso: eng place: Cham publication: Natural Language Processing and Information Systems publication_identifier: isbn: - '9783031353192' - '9783031353208' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer Nature Switzerland status: public title: 'IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran' type: book_chapter user_id: '76787' year: '2023' ... --- _id: '46569' abstract: - lang: eng text: 'AbstractExternal visualization (i.e., physically embodied visualization) is central to the teaching and learning of mathematics. As external visualization is an important part of mathematics at all levels of education, it is diverse, and research on external visualization has become a wide and complex field. The aim of this scoping review is to characterize external visualizations in recent mathematics education research in order to develop a common ground and guide future research. A qualitative content analysis of the full texts of 130 studies published between 2018 and 2022 applied a deductive-inductive coding procedure to assess four dimensions: visualization product or process, type of visualization, media, and purpose. The analysis revealed different types of external visualizations including visualizations with physical resemblance ranging from pictorial to abstract visualizations as well as three types of visualizations with structural resemblance: length, area, and relational visualizations. Future research should include measures of visualization products or processes to help explain the demands and affordances that different types of visualizations present to learners and teachers.' author: - first_name: Johanna full_name: Schoenherr, Johanna last_name: Schoenherr - first_name: Stanislaw full_name: Schukajlow, Stanislaw last_name: Schukajlow citation: ama: 'Schoenherr J, Schukajlow S. Characterizing external visualization in mathematics education research: a scoping review. ZDM – Mathematics Education. Published online 2023. doi:10.1007/s11858-023-01494-3' apa: 'Schoenherr, J., & Schukajlow, S. (2023). Characterizing external visualization in mathematics education research: a scoping review. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-023-01494-3' bibtex: '@article{Schoenherr_Schukajlow_2023, title={Characterizing external visualization in mathematics education research: a scoping review}, DOI={10.1007/s11858-023-01494-3}, journal={ZDM – Mathematics Education}, publisher={Springer Science and Business Media LLC}, author={Schoenherr, Johanna and Schukajlow, Stanislaw}, year={2023} }' chicago: 'Schoenherr, Johanna, and Stanislaw Schukajlow. “Characterizing External Visualization in Mathematics Education Research: A Scoping Review.” ZDM – Mathematics Education, 2023. https://doi.org/10.1007/s11858-023-01494-3.' ieee: 'J. Schoenherr and S. Schukajlow, “Characterizing external visualization in mathematics education research: a scoping review,” ZDM – Mathematics Education, 2023, doi: 10.1007/s11858-023-01494-3.' mla: 'Schoenherr, Johanna, and Stanislaw Schukajlow. “Characterizing External Visualization in Mathematics Education Research: A Scoping Review.” ZDM – Mathematics Education, Springer Science and Business Media LLC, 2023, doi:10.1007/s11858-023-01494-3.' short: J. Schoenherr, S. Schukajlow, ZDM – Mathematics Education (2023). date_created: 2023-08-17T10:11:45Z date_updated: 2023-08-17T10:13:23Z doi: 10.1007/s11858-023-01494-3 keyword: - General Mathematics - Education language: - iso: eng publication: ZDM – Mathematics Education publication_identifier: issn: - 1863-9690 - 1863-9704 publication_status: published publisher: Springer Science and Business Media LLC status: public title: 'Characterizing external visualization in mathematics education research: a scoping review' type: journal_article user_id: '99409' year: '2023' ... --- _id: '46560' author: - first_name: Stefanie full_name: Vochatzer, Stefanie id: '95153' last_name: Vochatzer citation: ama: 'Vochatzer S. My first contact with the Foodsharing Initiative. In: Bentz J, Leibniz Insitute for Educational Media , Georg Eckert Institute, eds. Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art. Leibniz Insitute for Educational Media, Georg Eckert Institute; 2023:48.' apa: Vochatzer, S. (2023). My first contact with the Foodsharing Initiative. In J. Bentz , Leibniz Insitute for Educational Media , & Georg Eckert Institute (Eds.), Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art (p. 48). Leibniz Insitute for Educational Media, Georg Eckert Institute. bibtex: '@inbook{Vochatzer_2023, place={Braunschweig}, title={My first contact with the Foodsharing Initiative}, booktitle={Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art}, publisher={Leibniz Insitute for Educational Media, Georg Eckert Institute}, author={Vochatzer, Stefanie}, editor={Bentz , Julia and Leibniz Insitute for Educational Media and Georg Eckert Institute}, year={2023}, pages={48} }' chicago: 'Vochatzer, Stefanie. “My First Contact with the Foodsharing Initiative.” In Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art, edited by Julia Bentz , Leibniz Insitute for Educational Media , and Georg Eckert Institute, 48. Braunschweig: Leibniz Insitute for Educational Media, Georg Eckert Institute, 2023.' ieee: 'S. Vochatzer, “My first contact with the Foodsharing Initiative,” in Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art, J. Bentz , Leibniz Insitute for Educational Media , and Georg Eckert Institute, Eds. Braunschweig: Leibniz Insitute for Educational Media, Georg Eckert Institute, 2023, p. 48.' mla: Vochatzer, Stefanie. “My First Contact with the Foodsharing Initiative.” Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art, edited by Julia Bentz et al., Leibniz Insitute for Educational Media, Georg Eckert Institute, 2023, p. 48. short: 'S. Vochatzer, in: J. Bentz , Leibniz Insitute for Educational Media , Georg Eckert Institute (Eds.), Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art, Leibniz Insitute for Educational Media, Georg Eckert Institute, Braunschweig, 2023, p. 48.' corporate_editor: - 'Leibniz Insitute for Educational Media ' - Georg Eckert Institute date_created: 2023-08-17T09:23:08Z date_updated: 2023-08-18T10:16:33Z department: - _id: '723' - _id: '724' - _id: '36' editor: - first_name: 'Julia ' full_name: 'Bentz , Julia ' last_name: 'Bentz ' language: - iso: eng page: '48' place: Braunschweig publication: Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art publication_identifier: unknown: - 'ISBN: 978-3-88304-000-4' publication_status: published publisher: Leibniz Insitute for Educational Media, Georg Eckert Institute status: public title: My first contact with the Foodsharing Initiative type: book_chapter user_id: '48187' year: '2023' ... --- _id: '46534' abstract: - lang: eng text: We study the effect of education on health (hospital stays, number of diagnosed conditions, self-rated poor health, and obesity) over the life-cycle in Germany, using compulsory schooling reforms as a source of exogenous variation. Our results suggest a positive correlation of health and education which increases over the life-cycle. We do not, however, find any positive local average treatment effects of an additional year of schooling on health or health care utilization for individuals up to age 79. An exception is obesity, where positive effects of schooling start to be visible around age 60 and become very large in age group 75-79. The results in age group 75-79 need to be interpreted with caution, however, due to small sample size and possible problems of attrition. author: - first_name: Hendrik full_name: Schmitz, Hendrik id: '48879' last_name: Schmitz - first_name: Beatrice Baaba full_name: Tawiah, Beatrice Baaba id: '70577' last_name: Tawiah citation: ama: Schmitz H, Tawiah BB. Life-Cycle Health Effects of Compulsory Schooling. Vol 1006. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen; 2023. apa: Schmitz, H., & Tawiah, B. B. (2023). Life-cycle health effects of compulsory schooling (Vol. 1006). RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen. bibtex: '@book{Schmitz_Tawiah_2023, series={ Ruhr Economic Papers}, title={Life-cycle health effects of compulsory schooling}, volume={1006}, publisher={RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}, author={Schmitz, Hendrik and Tawiah, Beatrice Baaba}, year={2023}, collection={ Ruhr Economic Papers} }' chicago: Schmitz, Hendrik, and Beatrice Baaba Tawiah. Life-Cycle Health Effects of Compulsory Schooling. Vol. 1006. Ruhr Economic Papers. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, 2023. ieee: H. Schmitz and B. B. Tawiah, Life-cycle health effects of compulsory schooling, vol. 1006. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, 2023. mla: Schmitz, Hendrik, and Beatrice Baaba Tawiah. Life-Cycle Health Effects of Compulsory Schooling. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, 2023. short: H. Schmitz, B.B. Tawiah, Life-Cycle Health Effects of Compulsory Schooling, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, 2023. date_created: 2023-08-16T09:51:10Z date_updated: 2023-08-20T17:51:42Z department: - _id: '281' - _id: '475' intvolume: ' 1006' keyword: - Education - health - life-cycle effects - compulsory schooling language: - iso: eng publisher: RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen series_title: ' Ruhr Economic Papers' status: public title: Life-cycle health effects of compulsory schooling type: working_paper user_id: '53779' volume: 1006 year: '2023' ...