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7. The challenge of hypophosphatasia diagnosis in adults: results from the HPP International Working Group Literature Surveillance

Author

Brandi, Maria Luisa, Khan, Aliya A., Rush, Eric T., Ali, Dalal S., Al-Alwani, Hatim, Almonaei, Khulod, Alsarraf, Farah, Bacrot, Severine, Dahir, Kathryn M., Dandurand, Karel, Deal, Chad, Ferrari, Serge Livio, Giusti, Francesca, Guyatt, Gordon, Hatcher, Erin, Ing, Steven W., Javaid, Muhammad Kassim, Khan, Sarah, Kocijan, Roland, Lewiecki, E. Michael, Linglart, Agnes, M’Hiri, Iman, Marini, Francesca, Nunes, Mark E., Rockman-Greenberg, Cheryl, Seefried, Lothar, Simmons, Jill H., Starling, Susan R., Ward, Leanne M., Yao, Liang, Brignardello-Petersen, Romina, and Roux, Christian

Published
2024
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8. Hypophosphatasia diagnosis: current state of the art and proposed diagnostic criteria for children and adults

Author

Khan, Aliya A., Brandi, Maria Luisa, Rush, Eric T., Ali, Dalal S., Al-Alwani, Hatim, Almonaei, Khulod, Alsarraf, Farah, Bacrot, Severine, Dahir, Kathryn M., Dandurand, Karel, Deal, Chad, Ferrari, Serge Livio, Giusti, Francesca, Guyatt, Gordon, Hatcher, Erin, Ing, Steven W., Javaid, Muhammad Kassim, Khan, Sarah, Kocijan, Roland, Linglart, Agnes, M’Hiri, Iman, Marini, Francesca, Nunes, Mark E., Rockman-Greenberg, Cheryl, Roux, Christian, Seefried, Lothar, Simmons, Jill H., Starling, Susan R., Ward, Leanne M., Yao, Liang, Brignardello-Petersen, Romina, and Lewiecki, E. Michael

Published
2024
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10. Proposed diagnostic criteria for the diagnosis of hypophosphatasia in children and adolescents: results from the HPP International Working Group

Author

Rush, Eric, Brandi, Maria Luisa, Khan, Aliya, Ali, Dalal S., Al-Alwani, Hatim, Almonaei, Khulod, Alsarraf, Farah, Bacrot, Severine, Dahir, Kathryn M., Dandurand, Karel, Deal, Chad, Ferrari, Serge Livio, Giusti, Francesca, Guyatt, Gordon, Hatcher, Erin, Ing, Steven W., Javaid, Muhammad Kassim, Khan, Sarah, Kocijan, Roland, Lewiecki, E. Michael, Linglart, Agnes, M’Hiri, Iman, Marini, Francesca, Nunes, Mark E., Rockman-Greenberg, Cheryl, Roux, Christian, Seefried, Lothar, Starling, Susan R., Ward, Leanne, Yao, Liang, Brignardello-Petersen, Romina, and Simmons, Jill H.

Published
2024
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12. Correction: Hypophosphatasia diagnosis: current state of the art and proposed diagnostic criteria for children and adults

Author

Khan, Aliya A., Brandi, Maria Luisa, Rush, Eric T., Ali, Dalal S., Al-Alwani, Hatim, Almonaei, Khulod, Alsarraf, Farah, Bacrot, Severine, Dahir, Kathryn M., Dandurand, Karel, Deal, Chad, Ferrari, Serge Livio, Giusti, Francesca, Guyatt, Gordon, Hatcher, Erin, Ing, Steven W., Javaid, Muhammad Kassim, Khan, Sarah, Kocijan, Roland, Linglart, Agnes, M’Hiri, Iman, Marini, Francesca, Nunes, Mark E., Rockman-Greenberg, Cheryl, Roux, Christian, Seefried, Lothar, Simmons, Jill H., Starling, Susan R., Ward, Leanne M., Yao, Liang, Brignardello-Petersen, Romina, and Michael Lewiecki, E.

Published
2024
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23. Synthesis, characterization, and evaluation of nanoparticles of clodinofop propargyl and fenoxaprop-P-ethyl on weed control, growth, and yield of wheat (Triticum aestivum L.)

Author

Khan Bilal Ahmad, Nadeem Muhammad Ather, Najeed Alawadi Hussam F., Javaid Muhammad Mansoor, Mahmood Athar, Qamar Rafi, Iqbal Mudassar, Mumtaz Amina, Maqbool Rizwan, Oraby Hesham, and Elnaggar Nehal

Subjects
clodinofop-propargyl and fenoxaprop-p-ethyl nanoherbicides, weed control, wheat and yield parameters, Chemistry, QD1-999
Abstract

Nanoherbicides are articulated by exploiting the prospective of nanotechnology for effectively delivering chemical and biological herbicides using nanomaterial‐based herbicide combinations. The nanoparticles were characterized using X-ray diffraction and FT-IR. On the targeted weeds, the nanoherbicides were sprayed at the third to fourth leaf stage. Six different doses were applied. The mortality and visual injury caused by both chitosan-based nanoherbicides reached 100% at the recommended dose of standard herbicide. The 5-fold lower dose exhibited weed density and maximum wheat yield and related parameters. For the same traits, the nanoherbicide at 10-fold lower dose of commercial herbicides showed a comparable influence as the suggested dose. The size of both herbicides was found to be 35–65 nm. It was observed that the clodinofop-propargyl nanoherbicide has an intense peak appearing at a 2θ value of 29.83°, corresponding to the (176) plane of the anatase phase and NPs of fenoxaprop-P-ethyl showed an intense peak around the 2θ value of 30.55° corresponding to the (74) plane of the anatase phase. The FT-IR spectra of fenoxaprop-P-ethyl clearly showed that the major functional groups were located in the FT-IR region between 610 and 1,840 cm−1 and the major functional ones of clodinofop propargyl were located in the FT-IR region between 640 and 1,740 cm−1. Nanoherbicides could restore the efficacy of conventional herbicides by improving stability and reducing toxicity.

Published
2023
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35. DAEMA: Denoising Autoencoder with Mask Attention

Author

Tihon, Simon, Javaid, Muhammad Usama, Fourure, Damien, Posocco, Nicolas, and Peel, Thomas

Subjects
Computer Science - Machine Learning, I.2.6, I.5.1
Abstract

Missing data is a recurrent and challenging problem, especially when using machine learning algorithms for real-world applications. For this reason, missing data imputation has become an active research area, in which recent deep learning approaches have achieved state-of-the-art results. We propose DAEMA (Denoising Autoencoder with Mask Attention), an algorithm based on a denoising autoencoder architecture with an attention mechanism. While most imputation algorithms use incomplete inputs as they would use complete data - up to basic preprocessing (e.g. mean imputation) - DAEMA leverages a mask-based attention mechanism to focus on the observed values of its inputs. We evaluate DAEMA both in terms of reconstruction capabilities and downstream prediction and show that it achieves superior performance to state-of-the-art algorithms on several publicly available real-world datasets under various missingness settings., Comment: 12 pages, 2 figures, to be published in ICANN 2021, for official implementation see https://github.com/euranova/DAEMA

Published
2021

36. Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol

Author

Fourure, Damien, Javaid, Muhammad Usama, Posocco, Nicolas, and Tihon, Simon

Subjects
Computer Science - Machine Learning, I.2.6, I.5.1
Abstract

Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets. The most popular metrics used to compare performances are F1-score, AUC and AVPR. In this paper, we show that F1-score and AVPR are highly sensitive to the contamination rate. One consequence is that it is possible to artificially increase their values by modifying the train-test split procedure. This leads to misleading comparisons between algorithms in the literature, especially when the evaluation protocol is not well detailed. Moreover, we show that the F1-score and the AVPR cannot be used to compare performances on different datasets as they do not reflect the intrinsic difficulty of modeling such data. Based on these observations, we claim that F1-score and AVPR should not be used as metrics for anomaly detection. We recommend a generic evaluation procedure for unsupervised anomaly detection, including the use of other metrics such as the AUC, which are more robust to arbitrary choices in the evaluation protocol., Comment: 16 pages, 7 figures, to be published in ECML-PKDD 2021, for official implementation see https://github.com/euranova/F1-Score-is-Biased

Published
2021

43. Phytohormones as Stress Mitigator in Plants

Author

Ul Abidin, Zain, Mahmood, Athar, Bibi, Safura, Mansoor Javaid, Muhammad, Zia, Muhammad Anjum, Saad Ullah, Muhammad, Azeem, Muhammad, Nadeem, Muhammad Ather, Khan, Bilal Ahmad, and Hasanuzzaman, Mirza, editor

Published
2023
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