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42,688 results on '"Khatib A"'

58. Exploring Indoor Localization for Smart Education

Author

Álvarez-Merino, Carlos S., Khatib, Emil J., Muñoz, Antonio Tarrias, and Barco, Raquel

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This comprehensive study delves into the realm of indoor positioning technologies within the domain of Smart Education (SE). Focusing on typical techniques and technologies in educational settings, the research emphasizes the importance and potential services of localization in SE. Moreover, this work explores the feasibility and limitations of these technologies, providing a detailed account of their role in educational settings. The paper also contains in an innovative Proof of Concept (PoC), demonstrating an automatic attendance control (AAC) system that integrates 5G and WiFi technologies. This PoC effectively showcases the possibilities and effectiveness of location-based services in educational surroundings even with a limited budget, setting the stage for optimizing teaching time, enhancing the quality of education., Comment: 14 pages, 11 figures, 2 tables

Published
2023

59. QOMIC: Quantum optimization for motif identification

Author

Ngo, Hoang M., Khatib, Tamim, Thai, My T., and Kahveci, Tamer

Subjects
Quantum Physics, Computer Science - Emerging Technologies
Abstract

Network motif identification problem aims to find topological patterns in biological networks. Identifying non-overlapping motifs is a computationally challenging problem using classical computers. Quantum computers enable solving high complexity problems which do not scale using classical computers. In this paper, we develop the first quantum solution, called QOMIC (Quantum Optimization for Motif IdentifiCation), to the motif identification problem. QOMIC transforms the motif identification problem using a integer model, which serves as the foundation to develop our quantum solution. We develop and implement the quantum circuit to find motif locations in the given network using this model. Our experiments demonstrate that QOMIC outperforms the existing solutions developed for the classical computer, in term of motif counts. We also observe that QOMIC can efficiently find motifs in human regulatory networks associated with five neurodegenerative diseases: Alzheimers, Parkinsons, Huntingtons, Amyotrophic Lateral Sclerosis (ALS), and Motor Neurone Disease (MND).

Published
2023

60. Citance-Contextualized Summarization of Scientific Papers

Author

Syed, Shahbaz, Hakimi, Ahmad Dawar, Al-Khatib, Khalid, and Potthast, Martin

Subjects
Computer Science - Computation and Language
Abstract

Current approaches to automatic summarization of scientific papers generate informative summaries in the form of abstracts. However, abstracts are not intended to show the relationship between a paper and the references cited in it. We propose a new contextualized summarization approach that can generate an informative summary conditioned on a given sentence containing the citation of a reference (a so-called "citance"). This summary outlines the content of the cited paper relevant to the citation location. Thus, our approach extracts and models the citances of a paper, retrieves relevant passages from cited papers, and generates abstractive summaries tailored to each citance. We evaluate our approach using $\textbf{Webis-Context-SciSumm-2023}$, a new dataset containing 540K~computer science papers and 4.6M~citances therein., Comment: Accepted at EMNLP 2023 Findings

Published
2023

61. Indicative Summarization of Long Discussions

Author

Syed, Shahbaz, Schwabe, Dominik, Al-Khatib, Khalid, and Potthast, Martin

Subjects
Computer Science - Computation and Language
Abstract

Online forums encourage the exchange and discussion of different stances on many topics. Not only do they provide an opportunity to present one's own arguments, but may also gather a broad cross-section of others' arguments. However, the resulting long discussions are difficult to overview. This paper presents a novel unsupervised approach using large language models (LLMs) to generating indicative summaries for long discussions that basically serve as tables of contents. Our approach first clusters argument sentences, generates cluster labels as abstractive summaries, and classifies the generated cluster labels into argumentation frames resulting in a two-level summary. Based on an extensively optimized prompt engineering approach, we evaluate 19~LLMs for generative cluster labeling and frame classification. To evaluate the usefulness of our indicative summaries, we conduct a purpose-driven user study via a new visual interface called Discussion Explorer: It shows that our proposed indicative summaries serve as a convenient navigation tool to explore long discussions., Comment: Accepted at EMNLP 2023 Main Conference

Published
2023

62. Machine Learning based Intrusion Detection for Cyber-Security in IoT Networks

Author

Khatib Amine, Hamlich Mohamed, and Hamad Denis

Subjects
Environmental sciences, GE1-350
Abstract

IoT network is a promising technology, IoT implementation is growing rapidly but cybersecurity is still a loophole, detection of attacks in IOT infrastructures is a growing concern in the field of IoT. With the increased use of Internet of Things in different areas, cyber-attacks are also increasing proportionately and can cause failures in the system. IDS becomes the leading security solution. Anomaly based network intrusion detection (IDS) detection plays a major role in protecting networks against various malicious activities. Improving the security of loT networks has become one of the most critical issues. This is due to the large-scale development and deployment of loT devices and the insufficiency of Intrusion Detection Systems (IDS) to be deployed for the use of special purpose networks. In this article, the performance of several machine learning models has been compared to accurately predict attacks on IoT systems, the case of imbalanced classes was subsequently treated using the SMOTE technique. The Nystrom based kernel SVM is the first time used to detect attacks in the IoT network and the results are promising. The evaluation metrics used in the performance comparison are accuracy, precision, recall, f1 score, and auc-roc curve.

Published
2021
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63. A comparison of mono-seasonal and multiseasonal Landsat images for vegetation cover classification in the Mediterranean region: a case study in Latakia, Syria

Author

Malinnikov Vasiliy and Khatib Assem

Subjects
Environmental sciences, GE1-350
Abstract

Providing constantly updated information on vegetation serves as a basis for studies of natural resources and ecological issues. This paper discusses the question related to an appropriate season(s) for classification vegetation cover in the Mediterranean region and detecting its changes using Landsat imagery. Autumn, spring, and multi-seasonal satellite images, captured in 2017, were used to classify vegetation cover in a part of the Lattakia province, Syria. The satellite images were classified using the random forest algorithm, and high spatial resolution satellite images Google Earth Pro were used as reference data. The results indicate better effectiveness of the autumn images over spring ones for vegetation cover classification with 73.6% and 62.4% overall accuracy, respectively. In addition, a comparison of autumn and multi-seasonal Landsat images indicates no significant statistical difference in the accuracy of vegetation cover classification at the significance level of 0.05, which illustrates the effectiveness of using autumn images to classify the vegetation cover of the Mediterranean region. Furthermore, the obtained results show the necessity of using additional features as the spectral channels may not be sufficient for mapping vegetation cover in the Mediterranean region with high accuracy.

Published
2021
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64. Dissipation of pendimethalin in a water‐seeded rice field and implications for water management

Author

Becerra‐Alvarez, Aaron and Al‐Khatib, Kassim

Subjects
Agricultural, Veterinary and Food Sciences, Environmental Sciences, Pollution and Contamination
Abstract

Water-seeded rice (Oryza sativa L.) in California is produced near growing urban centers and a variety of neighboring high-value crops, which make water quality a paramount concern because of potential herbicide residue contamination in downstream surface waters. Pendimethalin is a potential herbicide for use in California water-seeded rice. A study was conducted to characterize pendimethalin's dissipation in water of a water-seeded rice field. A capsule suspension (CS), emulsifiable concentrate (EC), and granule (GR) pendimethalin were applied onto flooded rice plots at 1.1, 2.3, and 3.4 kg ai ha−1 rates. Water samples were collected periodically and analyzed with an high pressure liquid chromatography tandem mass spectrometry system for residues. Pendimethalin dissipation differed across formulations. The initial sampled concentrations recorded values from 3.0 to 125.6 parts per billion (ppb). First-order dissipation resulted in half-lives for the CS from 2.3 to 3.5 days, the EC from 0.6 to 0.7 days, and the GR from 3.5 to 6.9 days. Pendimethalin use in water-seeded rice is at low risk of contaminating downstream surface waters; however, early sampled residue concentrations could be concerning. The results can assist in generating management tactics like water-holding periods to avoid potential downstream off-target effects and ensure herbicidal activity in the applied area after a pendimethalin application in a water-seeded rice field.

Published
2024

65. Detection of florpyrauxifen-benzyl residues in tree nut crop leaves after simulated drift treatment

Author

Inci, Deniz, Hanson, Bradley D, and Al-Khatib, Kassim

Subjects
Agricultural Biotechnology, Agricultural, Veterinary and Food Sciences, Auxinic herbicide, herbicide residue, off-target movement, quantification, residue analysis, symptomology, Crop and Pasture Production, Agronomy & Agriculture, Crop and pasture production
Abstract

Abstract: Rice herbicide drift poses a significant challenge in California, where rice fields are near almond, pistachio, and walnut orchards. This research was conducted as part of a stewardship program for a newly registered rice herbicide and specifically aimed to compare the onset of foliar symptoms resulting from simulated florpyrauxifen-benzyl drift with residues in almond, pistachio, and walnut leaves at several time points after exposure. Treatments were applied to one side of the canopy of 1- and 2-yr-old trees at 1/100X and 1/33X of the florpyrauxifen-benzyl rice field use rate of 29.4 g ai ha–1 in 2020 and 2021. Symptoms were observed 3 d after treatment (DAT) for pistachio and 7 DAT for almond and walnut, with peak severity at approximately 14 DAT. While almond and walnut symptoms gradually dissipated throughout the growing season, pistachio still had symptoms at leaf out in the following spring. Leaf samples were randomly collected from each tree for residue analysis at 7, 14, and 28 DAT. At 7 DAT with the 1/33X rate, almond, pistachio, and walnut leaves had florpyrauxifen-benzyl at 6.06, 5.95, and 13.12 ng g–1 fresh weight (FW) leaf, respectively. By 28 DAT, all samples from all crops treated with the 1/33X drift rate had florpyrauxifen-benzyl at less than 0.25 ng g–1 FW leaf. At the 1/100X rate, pistachio, almond, and walnut residues were 1.78, 2.31, and 3.58 ng g–1 FW leaf at 7 DAT, respectively. At 28 DAT with the 1/100X rate, pistachio and almond samples had florpyrauxifen-benzyl at 0.1 and 0.04 ng g–1 FW leaf, respectively, but walnut leaves did not have detectable residues. Together, these data suggest that residue analysis from leaf samples collected after severe symptoms may substantially underestimate actual exposure due to the relatively rapid dissipation of florpyrauxifen-benzyl in nut tree foliage.

Published
2024

66. Measures of empathy and compassion: A scoping review.

Author

Rubanovich, Caryn, Khatib, Lora, Sprengel, Meredith, Tanega, Chloé, Polizzi, Craig, Vahidi, Pantea, Malaktaris, Anne, Chu, Gage, Lang, Ariel, Tai-Seale, Ming, Eyler, Lisa, Bloss, Cinnamon, and Vieten, Cassandra

Subjects
Empathy, Psychometrics, Mindfulness
Abstract

Evidence to date indicates that compassion and empathy are health-enhancing qualities. Research points to interventions and practices involving compassion and empathy being beneficial, as well as being salient outcomes of contemplative practices such as mindfulness. Advancing the science of compassion and empathy requires that we select measures best suited to evaluating effectiveness of training and answering research questions. The objective of this scoping review was to 1) determine what instruments are currently available for measuring empathy and compassion, 2) assess how and to what extent they have been validated, and 3) provide an online tool to assist researchers and program evaluators in selecting appropriate measures for their settings and populations. A scoping review and broad evidence map were employed to systematically search and present an overview of the large and diverse body of literature pertaining to measuring compassion and empathy. A search string yielded 19,446 articles, and screening resulted in 559 measure development or validation articles reporting on 503 measures focusing on or containing subscales designed to measure empathy and/or compassion. For each measure, we identified the type of measure, construct being measured, in what context or population it was validated, response set, sample items, and how many different types of psychometrics had been assessed for that measure. We provide tables summarizing these data, as well as an open-source online interactive data visualization allowing viewers to search for measures of empathy and compassion, review their basic qualities, and access original citations containing more detail. Finally, we provide a rubric to help readers determine which measure(s) might best fit their context.

Published
2024

68. Association of exposure to air pollutants and risk of mortality among people living with HIV: a systematic review

Author

Padhi, Bijaya Kumar, Khatib, Mahalaqua Nazli, Ballal, Suhas, Bansal, Pooja, Bhopte, Kiran, Gaidhane, Abhay M., Tomar, Balvir S., Ashraf, Ayash, Kumar, M. Ravi, Chauhan, Ashish Singh, Sah, Sanjit, Shabil, Muhammed, Satapathy, Prakasini, Jena, Diptismita, Bushi, Ganesh, Singh, Mahendra Pratap, Chilakam, Nagavalli, Pandey, Sakshi, Brar, Manvinder, Balaraman, Ashok Kumar, Mehta, Rachana, and Daniel, Afukonyo Shidoiku

Published
2024
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70. Maternal COVID-19 infection and risk of respiratory distress syndrome among newborns: a systematic review and meta-analysis

Author

Shabil, Muhammed, Gaidhane, Shilpa, Ballal, Suhas, Kumar, Sanjay, Bhat, Mahakshit, Sharma, Shilpa, Kumar, M Ravi, Rustagi, Sarvesh, Khatib, Mahalaqua Nazli, Rai, Nishant, Garout, Mohammed, Bouafia, Nabiha A., Alshengeti, Amer, Alrasheed, Hayam A, Al Kaabi, Nawal A., Alfaresi, Mubarak, Hazazi, Ali, Rabaan, Ali A., Sah, Sanjit, Lakhanpal, Sorabh, Bushi, Ganesh, Thangavelu, Laksmi, Chilakam, Nagavalli, Pandey, Sakshi, Brar, Manvinder, Mehta, Rachana, Balaraman, Ashok Kumar, Syed, Rukshar, and Sharma, Gajendra

Published
2024
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71. Prevalence of dual use of combustible tobacco and E-cigarettes among pregnant smokers: a systematic review and meta-analysis

Author

Bushi, Ganesh, Khatib, Mahalaqua Nazli, Balaraman, Ashok Kumar, Ballal, Suhas, Bansal, Pooja, Tomar, Balvir S., Ashraf, Ayash, Kumar, M. Ravi, Sinha, Aashna, Rawat, Pramod, Gaidhane, Abhay M., Sah, Sanjit, Syed, Rukshar, Sharma, Gajendra, Mehta, Rachana, A. G., Mona Thangamma, Chilakam, Nagavalli, Pandey, Sakshi, Brar, Manvinder, and Shabil, Muhammed

Published
2024
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75. State of the art of mobile health technologies use in clinical arrhythmia care

Author

Sridhar, Arun R., Cheung, Jim W., Lampert, Rachel, Silva, Jennifer N. A., Gopinathannair, Rakesh, Sotomonte, Juan C., Tarakji, Khaldoun, Fellman, Mark, Chrispin, Jonathan, Varma, Niraj, Kabra, Rajesh, Mehta, Nishaki, Al-Khatib, Sana M, Mayfield, Jacob J., Navara, Rachita, Rajagopalan, Bharath, Passman, Rod, Fleureau, Yann, Shah, Maully J, Turakhia, Mintu, and Lakkireddy, Dhanunjaya

Published
2024
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90. Effectiveness of early Anakinra on cardiac function in children with multisystem inflammatory syndrome of COVID-19: a systematic review

Author

Shabil, Muhammed, Khatib, Mahalaqua Nazli, Banda, Godfrey T, Zahiruddin, Quazi Syed, Ballal, Suhas, Bansal, Pooja, Srivastava, Manish, Arora, Isha, Kumar, M Ravi, Sinha, Aashna, Pant, Kumud, Al-Jishi, Jumana M., Albayat, Hawra, Al Fares, Mona A., Garout, Mohammed, Alrasheed, Hayam A, Al-Subaie, Maha F., and Rabaan, Ali A.

Published
2024
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98. Assessment of knowledge and awareness of stroke among the Syrian population: unveiling the current landscape in Syria through the first nationally representative study

Author

Kharaba, Zelal, Alfoteih, Yassen, Jirjees, Feras, Albarbandi, Mohammad, Hussain, Zainab, Al Obaidi, Hala, Mansour, Sara, Ahmed, Munazza, Eltayib, Eyman, Barakat, Muna, AlSalamat, Husam A., Alzayer, Reem, El Khatib, Sami, Al-Mohammad, Safwan, Hallit, Souheil, Malaeb, Diana, and Hosseini, Hassan

Published
2024
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