1,721,648 research outputs found
Legimatics and AI Tools for the Monitoring of EU Legislation in Agrifood and SDGs
No full textThis work presents a comprehensive mechanism with algorithms for annotating norms, classifying EU legislation, and linking them to SDGs. The dataset comprised of 15082 EU legislative documents in AKN file format that were adopted during the period of 1962-2021. Complete work is divided into three tasks: (i) Detection and annotation of legal Definitions, (ii) Model design for classification of EU legislative documents to Goals and Targets of SDGs, and (iii) Linking EU legisla tive documents to Goals and Targets of SDGs.
The first task annotation of Delimiting Definitions is performed using Symbolic AI supported by LegalXML. For the purpose two independent Artificial Intelligence-based algorithms are designed for two different scenarios. These algorithms are implemented in Python using the Ele mentTree library and rule-based mining to annotate targeted text. The annotation is validated through indentation checks in the AKN format. The first algorithm annotates 899 documents, while the second algorithm annotates 1,272 documents. A total of 11,705 Definitions are success fully annotated in these documents.
For the second task, a new ML-based model is designed to link EU legislative to the Goals and Targets of SDGs. Based upon the literature review, two algorithms, SVM and KNN, were tried. SVM outperforms KNN with an accuracy of 53.34%, a weighted F-score of 70.04% and a macro F-score of 57.94% on the SDGs classification at the Goals level. At the Target level, SVM achieved 46.56% accuracy, 56.60% weighted F-score and 30.61% macro F-score.
In the third task, legislative text and annotated Delimiting Definitions are successfully linked with the Goals and Targets of SDGs using the model designed in the second task. By integrating annotation, classification, and linking of EU legislation with SDGs, this research provides a robust mechanism for policymakers and researchers to monitor legislative alignment with SDGs objectives, enabling informed decision-making and effective policy formulation.1. No poverty2. Zero hunger3. Good health and well-being4. Quality education5. Gender equality6. Clean water and sanitation7. Affordable and clean energy8. Decent work and economic growth9. Industry, innovation and infrastructure10. Reduced inequalities11. Sustainable cities and communities12. Responsible consumption and production13. Climate action14. Life below water15. Life on land16. Peace, justice and strong institutions17. Partnerships for the goal
A new species of Lepiota (Agaricaceae) from Punjab, Pakistan
No full textNiazi, Abdul Rehman, Asif, Muhammad, Izhar, Aiman, Khalid, Abdul Nasir (2021): A new species of Lepiota (Agaricaceae) from Punjab, Pakistan. Phytotaxa 511 (2): 163-174, DOI: 10.11646/phytotaxa.511.2.4, URL: http://dx.doi.org/10.11646/phytotaxa.511.2.
A new crinipelloid species (Marasmiaceae, Agaricales) from Pakistan
No full textIzhar, Aiman, Asif, Muhammad, Niazi, Abdul Rehman, Khalid, Abdul Nasir (2022): A new crinipelloid species (Marasmiaceae, Agaricales) from Pakistan. Phytotaxa 538 (3): 197-212, DOI: 10.11646/phytotaxa.538.3.3, URL: http://dx.doi.org/10.11646/phytotaxa.538.3.
FIGURE 2. A–C in A new species of Lepiota (Agaricaceae) from Punjab, Pakistan
No full textFIGURE 2. A–C Basidiomata of Lepiota haroonabadensis (Holotype) LAH36801 (MZ172897) Photos by: Muhammad AsifPublished as part of Niazi, Abdul Rehman, Asif, Muhammad, Izhar, Aiman & Khalid, Abdul Nasir, 2021, A new species of Lepiota (Agaricaceae) from Punjab, Pakistan, pp. 163-174 in Phytotaxa 511 (2) on page 167, DOI: 10.11646/phytotaxa.511.2.4, http://zenodo.org/record/542655
FIGURE 2 in A new crinipelloid species (Marasmiaceae, Agaricales) from Pakistan
No full textFIGURE 2. Molecular phylogenetic placement of Moniliophthora pakistanica based on Maximum Likelihood (ML) analysis of nrLSU sequences.Published as part of Izhar, Aiman, Asif, Muhammad, Niazi, Abdul Rehman & Khalid, Abdul Nasir, 2022, A new crinipelloid species (Marasmiaceae, Agaricales) from Pakistan, pp. 197-212 in Phytotaxa 538 (3) on page 200, DOI: 10.11646/phytotaxa.538.3.3, http://zenodo.org/record/633676
FIGURE 1 in A new species of Lepiota (Agaricaceae) from Punjab, Pakistan
No full textFIGURE 1. Molecular phylogenetic placement of Lepiota haroonabadensis based on Maximum Likelihood (ML) method of ITS sequences.Published as part of Niazi, Abdul Rehman, Asif, Muhammad, Izhar, Aiman & Khalid, Abdul Nasir, 2021, A new species of Lepiota (Agaricaceae) from Punjab, Pakistan, pp. 163-174 in Phytotaxa 511 (2) on page 165, DOI: 10.11646/phytotaxa.511.2.4, http://zenodo.org/record/542655
FIGURE 3. A. Basidia, B. Basidiospores, C. Cheilocystidia, D. Pileus covering elements, E in A new species of Lepiota (Agaricaceae) from Punjab, Pakistan
No full textFIGURE 3. A. Basidia, B. Basidiospores, C. Cheilocystidia, D. Pileus covering elements, E. Stipe covering elements. Scale bars: A–C = 5 µm, D, E = 20 µm. Drawings by: Aiman Izhar & Muhammad AsifPublished as part of Niazi, Abdul Rehman, Asif, Muhammad, Izhar, Aiman & Khalid, Abdul Nasir, 2021, A new species of Lepiota (Agaricaceae) from Punjab, Pakistan, pp. 163-174 in Phytotaxa 511 (2) on page 168, DOI: 10.11646/phytotaxa.511.2.4, http://zenodo.org/record/542655
Personalization of Mobile Services
Full text linkThe mobile era is well established and the number of smartphone users is showing exponential growth. The capability of smartphones and enabling technologies is also increasing and has opened many possibilities of personalized mobile services. The goal of personalization is to support the user by providing the right service at the rightmoment. Early focus of personalization was on content adaptations in different information systems. The new approaches of personalization are still needed for mobileservices as it is a compelling feature of mobile communication systems for both endusers and service providers.Personalization is providing a means of fulfilling users’ needs more effectively andefficiently and, consequently increasing users’ satisfaction. By providing successfulpersonalization, a high degree of user satisfaction and a pleasant user experience can beachieved. Some features of personalization can cause problems and may outweigh thebenefits of personalization.This thesis has focused on how to achieve scrutable mobile client-side personalizationwhile keeping the user’s privacy. The issue of privacy in personalization of mobileservices can be reduced by shifting the control of their personal information towards theusers. Our research goal is to understand and improve the personalization process anddevelop an architecture for scrutable mobile client-side personalization while keepingthe user s’ privacy. Moreover, there is a need to develop an evaluation framework tomeasure the effectiveness of mobile services personalization. A design science researchmethodology is adopted in this research work. More particular contributions of thethesis are as follows:
C1: Identifications of the research issues and challenges in personalization of mobileservices.
C2: An approach for delivering personalized mobile services.
C3: Development of mobile client-side personalization architecture.
C4: Development of mobile services Personalization Evaluation Model.
C5: Identification of the prospects of scrutable personalization of mobile services.PhD i informasjonsteknologiPhD in Information Technolog
Molecular and morphological studies reveal a new species of Panaeolus (Agaricales, Basidiomycota) from Punjab, Pakistan
No full textAsif, Muhammad, Firdous, Qudsia, Izhar, Aiman, Niazi, Abdul Rehman, Sarwar, Samina, Khalid, Abdul Nasir (2023): Molecular and morphological studies reveal a new species of Panaeolus (Agaricales, Basidiomycota) from Punjab, Pakistan. European Journal of Taxonomy 888: 77-96, DOI: https://doi.org/10.5852/ejt.2023.888.2215, URL: http://dx.doi.org/10.5852/ejt.2023.888.221
FIGURE 3. A–E in Entoloma griseofibrillosus (Entolomataceae, Basidiomycota), a new species from Punjab, Pakistan
No full textFIGURE 3. A–E Basidiomata of E. griseofibrillosus.. A–D = Pileus view (LAH35884, Holotype), E, F = Lamellae & Stipe view (LAH10512016, Paratype) Scale Bars A–E = 10 mm. Photos by: Aiman Izhar & Tayyaba Qasim.Published as part of Izhar, Aiman, Qasim, Tayyaba, Asif, Muhammad, Niazi, Abdul Rehman & Khalid, Abdul Nasir, 2023, Entoloma griseofibrillosus (Entolomataceae, Basidiomycota), a new species from Punjab, Pakistan, pp. 1-14 in Phytotaxa 589 (1) on page 6, DOI: 10.11646/phytotaxa.589.1.1, http://zenodo.org/record/775497
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