8,371 results on '"Al-Khatib A"'
Search Results
2. Investigating the Leadership Styles and National Culture of Emirati Female School Principals
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Soulafa A. Al Khatib
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With the growing expectations from the field of education, increases the importance of effective school leadership. The school proves its effectiveness depending on various factors; the principal's leadership style is the main one. The purpose of this study was to investigate the influence of the female gender and national culture dimensions on the leadership styles of Emirati female school principals, as educational leaders, and the relationships that exist among the different variables. Explanatory sequential mixed method approach was used in two phases for this study. In the first phase, the quantitative data were collected using the Multifactor Leadership Questionnaire (5X-short) survey and the cultural dimensions survey. In the second phase, the researcher conducted semi-structured interviews and qualitative observations. The findings of the study indicated that Emirati female leaders tend to be more transformational in their leadership styles while they still practice transactional leadership to a certain degree. They were found to be more "androgynous" carrying the qualities of both male and female leaders. In addition, the leadership styles and their elements proved to have a significant relationship to national culture dimensions except for management by exception (active). Future research should include a larger sample size and the perspectives of the followers as well. It is important to conduct the study in different organizational contexts not only in schools to confirm the finding that women use "androgynous" style in the United Arab Emirate and beyond.
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- 2024
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3. Disinfection of dental impressions: knowledge and practice among dental technicians
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Al Mortadi N, Al-Khatib A, Alzoubi KH, and Khabour OF
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Disinfection ,Dental Impressions ,Knowledge ,Practice ,Dental Technicians ,Dentistry ,RK1-715 - Abstract
Noor Al Mortadi,1 Aceil Al-Khatib,2 Karem H Alzoubi,3 Omar F Khabour41Department of Applied Dental Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan; 2Department of Oral Medicine and Oral Surgery, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan; 3Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan; 4Department of Medical laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, JordanBackground: Dental impressions are a common source for transmission of infection between dental clinics and dental labs. Dental impressions can be cross-contaminated by patient’s saliva and blood, which then cross-infect the dental casts poured from the impressions.Objective: To evaluate the current practices of disinfection of dental impressions and their protocols and to assess the knowledge of cross-infection control among dental technicians in Jordan.Method: Dental technicians (n=85) completed a self-administered questionnaire about their practices of disinfection for dental impressions.Results: The distribution of dental technicians was 63.8% fixed prosthodontics, 23.5% removable prosthodontics, 7.8% orthodontics, and 4.8% maxillofacial prosthodontics. The majority of the laboratories did not have instructions related to disinfection of impressions. About 50% of technicians were vaccinated against HBV. About 44.7%, and 42.9% of labs reported that they never disinfect alginate or silicon impressions, respectively. In addition, the majority of lab owners (53%) believed that the dentist should disinfect the impressions before shipping them to dental laboratories, while (45%) believed that disinfecting the impressions is the responsibility of the dental assistant. Moreover, about 38% of this study population reported not using gloves in their labs. In those labs were disinfection was used, 51% used spray disinfection whereas 32.6% used immersion disinfection. The cost of disinfectant was ranked as the most important factor (51.3% of the cases) for the dental technician to choose the disinfectant followed by its effectiveness.Conclusion: Dental technician practices in impression disinfection was not satisfactory, therefore, education programs about impression disinfection are needed.Keywords: disinfection, dental impressions, knowledge, practice, dental technicians
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- 2019
4. Tree Nut Crop Response to Simulated Florpyrauxifen-benzyl and Triclopyr Herbicide Drift
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Inci, Deniz, Hanson, Bradley D, and Al-Khatib, Kassim
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Agricultural Biotechnology ,Agricultural ,Veterinary and Food Sciences ,almond ,herbicide symptomology ,multiple exposures ,off-target movement ,pistachio ,walnut ,Horticultural Production ,Horticulture ,Crop and pasture production ,Horticultural production ,Plant biology - Abstract
California is the nation’s primary producer of almonds, pistachios, and walnuts, and an important producer of rice. Because of California’s diverse cropping systems, off-target herbicide drift can be a considerable problem, particularly from aerial applications that are commonly used in flooded rice production systems. Triclopyr is an auxin-mimic type herbicide that has been commonly used in rice for many years for control of broadleaf weeds and the industry is familiar with symptoms of off-target triclopyr drift. Florpyrauxifen-benzyl is a newly registered auxin-mimic herbicide in California rice with activity on key weeds and is being rapidly adopted. Although symptoms typically are similar among auxinic herbicides, it is important to understand subtle differences and risks among these herbicides as stewardship for newly registered products. This research was conducted in 2020 and 2021 to determine the relative sensitivity of almond, pistachio, and walnut trees to simulated drift rates of florpyrauxifen-benzyl and triclopyr as well as characterize and compare symptoms caused by these two herbicides. The fractional herbicide rates tested were 1/200X, 1/100X, 1/33X, and 1/10X of the florpyrauxifen-benzyl use rate of 29.4 g·ha21 a.i. and 1/200X, 1/100X, and 1/33X of the triclopyr use rate of 420.3 g·ha21 a.e. Florpyrauxifen-benzyl and triclopyr herbicides were applied directly to one side of the canopy of 1- to 2-year-old almond, pistachio, and walnut trees. The general symptoms of florpyrauxifen-benzyl and triclopyr were chlorosis, chlorotic spots, leaf curling, leaf narrowing, leaf distortion, leaf malformation, leaf crinkling, shoot curling, stem coloring, stunting, terminal bud death, and twisting. The florpyrauxifen-benzyl and triclopyr injury symptoms were compared at the same fractional rates and found to be similar to each other. The herbicide injury was observed on the entire pistachio canopy, particularly on developing leaves and terminal buds. In contrast, injury symptoms on almond and walnut were more apparent on the side of the canopy to which the herbicides were applied. Symptom severity peaked at 14 days after treatment with the 1/10X florpyrauxifen-benzyl rate, when the visible injury was 16%, 48%, and 78% on almond, walnut, and pistachio, respectively. Although almond and walnut symptoms from the 1/10X florpyrauxifen-benzyl rate remained visible longer than all other treatments, all trees gradually recovered throughout the growing season. In contrast, pistachio trees did not recover fully and had injury symptoms that persisted for the remainder of the treatment year and at leaf-out the following spring. When drift occurs, it is typically at rates below 1/100X up to 1/33X of herbicide use rates. This research suggested that proper herbicide drift management practices and application precautions are likely to minimize the risk of significant injury from florpyrauxifen-benzyl drift to almond and walnut because of low injury symptoms at the typical drift rates. However, extra precautions may be needed if there are nearby pistachio orchards.
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- 2024
5. Hospital Waste Management and Generation in a Palestinian Charitable Hospital
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Al-Khatib, Issam A.
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- 2025
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6. Pursuit learning algorithm to minimize delay and energy consumption in vehicular-edge computing networks
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Alagha, Nejad and Al-Khatib, Obada
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- 2025
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7. Prevalence of SPOP and IDH Gene Mutations in Prostate Cancer in a Jordanian Population
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Alorjani, Mohammed S., Al Bashir, Samir, Al-Zaareer, Basmah, Al-Khatib, Sohaib, Al-Zoubi, Raed M., Al-Trad, Bahaa, AbuAlarja, Manal, Alzu’bi, Ayman, Al-Hamad, Mohammad, Al-Batayneh, Khalid, and Al-Zoubi, Mazhar S.
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- 2024
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8. Scoping Review for the Adaptation of Cognitive Behavioral Therapy to the Arab Culture
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Nasif, Jamil, Din, Normah Che, AL-Khawaja, Mohamed, Alawi, Abdul Fattah, Al-Khatib, Najah, Ayash, Areej, Abu-Alrub, Nuha, and Sze, Agnes Chong Shu
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- 2024
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9. Decoding Potato Power: A Global Forecast of Production with Machine Learning and State-of-the-Art Techniques
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Yadav, Shikha, Al khatib, Abdullah Mohammad Ghazi, Alshaib, Bayan Mohamad, Ranjan, Sushmita, Kumari, Binita, Alkader, Naief Alabed, Mishra, Pradeep, and Kapoor, Promil
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- 2024
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10. Weed control and water‐seeded rice response to pyraclonil applied at different timings and in herbicide combinations
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Becerra‐Alvarez, Aaron, Marsh, Sarah L, Ceseski, Alex R, and Al‐Khatib, Kassim
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Agricultural Biotechnology ,Agricultural ,Veterinary and Food Sciences - Abstract
Pyraclonil is a new herbicide to control weeds in California water-seeded rice (Oryza sativa L.). The objectives of this research were to evaluate weed control and rice response from pyraclonil applied alone at different timings and when applied in combinations with other herbicides. In one field study, pyaclonil was applied at 0.3 lbs a.i. ac−1 on pre-seed bare ground, 1-inch flood, 4-inch flood and 3 days after flooding in water-seeded rice. In another study, pyraclonil was applied at 0.3 lbs a.i. ac−1 at day of rice seeding and followed by various registered herbicides. Pyraclonil applications resulted in similar weed control across timings. Pyraclonil provided greater than 92% control of smallflower umbrella sedge (Cyperus difformis L.) and broadleaf weeds but less than 60% control of ricefield bulrush [Schoenoplectus mucronatus (L.) Palla] at 42 days after treatment. Watergrass (Echinochloa spp.) control was achieved with pyraclonil if applied before emergence. Early-season rice injury from pyraclonil was observed; however, rice appeared uninjured later in the season. The addition of other herbicides after a pyraclonil application increased weed control levels across weed species and resulted in grain yields from 6,925 to 8,623 and 9,182 to 10,865 lbs ac−1 in 2019 and 2021, respectively. Pyraclonil provides early-season weed control and, when incorporated with other herbicides, will be a useful herbicide in water-seeded rice.
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- 2024
11. The impact of Industry 4.0 capabilities on operational performance: the mediating effect of supply chain ambidexterity
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AL-Khatib, Ayman wael
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- 2025
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12. How big data-driven organizational capabilities shape innovation performance? An empirical study from small and medium manufacturing enterprises.
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Ayman Wael Al-Khatib
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- 2025
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13. Preparation of neutron activated concrete reference material for gamma-ray spectrometry measurement
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Haddad, Kh., Al-Masri, M. S., Al Rayyes, A. H., Kaddour, L., and Al-Khatib, Y.
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- 2024
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14. Sclerotherapy vs. surgical excision for lymphatic malformations of the head and neck: a systematic review and meta-analysis
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Alqutub, Abdulsalam, Baamir, Noor J., Mofti, Zainab, Zawawi, Faisal, and Al-Khatib, Talal
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- 2024
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15. Upgrading postphenomenological relationships in terms of the UML modelling
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Al-Khatib, Tahani
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- 2024
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16. Forecasting Potato Production in Major South Asian Countries: a Comparative Study of Machine Learning and Time Series Models
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Mishra, Pradeep, Al khatib, Abdullah Mohammad Ghazi, Mohamad Alshaib, Bayan, Binita Kuamri, Tiwari, Shiwani, Singh, Aditya Pratap, Yadav, Shikha, Sharma, Divya, and Kumari, Prity
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- 2024
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17. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
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Syed, Shahbaz, Al-Khatib, Khalid, and Potthast, Martin
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Computer Science - Computation and Language - Abstract
This paper presents TL;DR Progress, a new tool for exploring the literature on neural text summarization. It organizes 514~papers based on a comprehensive annotation scheme for text summarization approaches and enables fine-grained, faceted search. Each paper was manually annotated to capture aspects such as evaluation metrics, quality dimensions, learning paradigms, challenges addressed, datasets, and document domains. In addition, a succinct indicative summary is provided for each paper, consisting of automatically extracted contextual factors, issues, and proposed solutions. The tool is available online at https://www.tldr-progress.de, a demo video at https://youtu.be/uCVRGFvXUj8, Comment: EACL 2024 System Demonstration
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- 2024
18. The relationship between perception of well-being and depression among adolescents in Jordan: using PERMA model as a theoretical framework
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Ghannam, Bushra, Al Khatib, Husam, Alzayyat, Abeer, and Hamdan Mansour, Ayman
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- 2024
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19. District-Level Forecast of Achieving Trachoma Elimination as a Public Health Problem By 2030: An Ensemble Modelling Approach.
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Srivathsan, Ariktha, Abdou, Amza, Al-Khatib, Tawfik, Apadinuwe, Sue-Chen, Badiane, Mouctar, Bucumi, Victor, Chisenga, Tina, Kabona, George, Kabore, Martin, Kanyi, Sarjo, Bella, Lucienne, Mpo, Nekoua, Masika, Michael, Minnih, Abdellahi, Sitoe, Henis, Mishra, Sailesh, Olobio, Nicholas, Omar, Fatma, Phiri, Isaac, Sanha, Salimato, Seife, Fikre, Sharma, Shekhar, Tekeraoi, Rabebe, Traore, Lamine, Watitu, Titus, Bol, Yak, Borlase, Anna, Deiner, Michael, Renneker, Kristen, Hooper, P, Emerson, Paul, Vasconcelos, Andreia, Arnold, Benjamin, Porco, Travis, Hollingsworth, T, Lietman, Thomas, and Blumberg, Seth
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Trachoma ,Humans ,Child ,Preschool ,Infant ,Child ,Disease Eradication ,Prevalence ,Forecasting ,Public Health ,Models ,Statistical ,Mass Drug Administration ,World Health Organization ,Global Health ,Male ,Female - Abstract
Assessing the feasibility of 2030 as a target date for global elimination of trachoma, and identification of districts that may require enhanced treatment to meet World Health Organization (WHO) elimination criteria by this date are key challenges in operational planning for trachoma programmes. Here we address these challenges by prospectively evaluating forecasting models of trachomatous inflammation-follicular (TF) prevalence, leveraging ensemble-based approaches. Seven candidate probabilistic models were developed to forecast district-wise TF prevalence in 11 760 districts, trained using district-level data on the population prevalence of TF in children aged 1-9 years from 2004 to 2022. Geographical location, history of mass drug administration treatment, and previously measured prevalence data were included in these models as key predictors. The best-performing models were included in an ensemble, using weights derived from their relative likelihood scores. To incorporate the inherent stochasticity of disease transmission and challenges of population-level surveillance, we forecasted probability distributions for the TF prevalence in each geographic district, rather than predicting a single value. Based on our probabilistic forecasts, 1.46% (95% confidence interval [CI]: 1.43-1.48%) of all districts in trachoma-endemic countries, equivalent to 172 districts, will exceed the 5% TF control threshold in 2030 with the current interventions. Global elimination of trachoma as a public health problem by 2030 may require enhanced intervention and/or surveillance of high-risk districts.
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- 2024
20. Dissipation of pendimethalin in a water‐seeded rice field and implications for water management
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Becerra‐Alvarez, Aaron and Al‐Khatib, Kassim
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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.
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- 2024
21. State of the art of mobile health technologies use in clinical arrhythmia care
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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
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- 2024
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22. Tonsillar synovial sarcoma, unusual anatomical location: case report and literature review
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Al-Khatib, Sohaib M., AlSheyab, Maram M., and AlOmari, Sura B.
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- 2024
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23. The Effect of Culture-Based Adjustment Program on International Students' Adaptation
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Amal Al-Khatib and Dilek Yelda Kagnici
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Within the scope of this study, a psychoeducation program based on multicultural competencies and Berry's acculturation model was developed to improve the adjustment process of international students. In this study, an explanatory sequential design was used. The study group consisted of 34 international students who volunteered for the study. The quantitative results of the study indicated that the Culture-Based Adjustment Program significantly affected the personal and social adjustment of international students. However, it did not significantly affect the adjustment to the university environment, emotional adjustment, dating relationships, and academic adjustment. The qualitative analysis yielded five major categories: (a) expectations, (b) contributions, (c) evaluation of the program, (d) leader, and (e) suggestions. The findings of this study highlight the importance of psychoeducation programs in the adjustment process of international students.
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- 2023
24. Citance-Contextualized Summarization of Scientific Papers
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Syed, Shahbaz, Hakimi, Ahmad Dawar, Al-Khatib, Khalid, and Potthast, Martin
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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
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- 2023
25. Indicative Summarization of Long Discussions
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Syed, Shahbaz, Schwabe, Dominik, Al-Khatib, Khalid, and Potthast, Martin
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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
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- 2023
26. Detection of florpyrauxifen-benzyl residues in tree nut crop leaves after simulated drift treatment
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Inci, Deniz, Hanson, Bradley D, and Al-Khatib, Kassim
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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.
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- 2024
27. Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys.
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Harding-Esch, Emma, Burgert-Brucker, Clara, Jimenez, Cristina, Bakhtiari, Ana, Willis, Rebecca, Bejiga, Michael, Mpyet, Caleb, Ngondi, Jeremiah, Boyd, Sarah, Abdala, Mariamo, Abdou, Amza, Adamu, Yilikal, Alemayehu, Addisu, Alemayehu, Wondu, Al-Khatib, Tawfik, Apadinuwe, Sue-Chen, Awaca, Naomie, Awoussi, Marcel, Baayendag, Gilbert, Badiane, Mouctar, Bailey, Robin, Batcho, Wilfrid, Bay, Zulficar, Bella, Assumpta, Beido, Nassirou, Bol, Yak, Bougouma, Clarisse, Brady, Christopher, Bucumi, Victor, Butcher, Robert, Cakacaka, Risiate, Cama, Anaseini, Camara, Mamoudou, Cassama, Eunice, Chaora, Shorai, Chebbi, Amel, Chisambi, Alvin, Chu, Brian, Conteh, Abdulai, Coulibaly, Sidi, Courtright, Paul, Dalmar, Abdi, Dat, Tran, Davids, Thully, Djaker, Mohamed, de Fátima Costa Lopes, Maria, Dézoumbé, Djore, Dodson, Sarity, Downs, Philip, Eckman, Stephanie, Elshafie, Bilghis, Elmezoghi, Mourad, Elvis, Ange, Emerson, Paul, Epée, Emilienne, Faktaufon, Daniel, Fall, Mawo, Fassinou, Aréty, Fleming, Fiona, Flueckiger, Rebecca, Gamael, Koizan, Garae, Mackline, Garap, Jambi, Gass, Katie, Gebru, Genet, Gichangi, Michael, Giorgi, Emanuele, Goépogui, André, Gómez, Daniela, Gómez Forero, Diana, Gower, Emily, Harte, Anna, Henry, Rob, Honorio-Morales, Harvy, Ilako, Dunera, Issifou, Amadou, Jones, Ellen, Kabona, George, Kabore, Martin, Kadri, Boubacar, Kalua, Khumbo, Kanyi, Sarjo, Kebede, Shambel, Kebede, Fikreab, Keenan, Jeremy, Kello, Amir, Khan, Asad, Khelifi, Houria, Kilangalanga, Janvier, Kim, Sung, Ko, Robert, Lewallen, Susan, Lietman, Thomas, Logora, Makoy, Lopez, Yuri, MacArthur, Chad, Macleod, Colin, Makangila, Felix, Mariko, Brehima, and Martin, Diana
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Chlamydia trachomatis ,Tropical Data ,prevalence ,survey ,trachoma ,Humans ,Infant ,Trachoma ,Prevalence ,Public Health ,Data Management ,World Health Organization - Abstract
PURPOSE: Population-based prevalence surveys are essential for decision-making on interventions to achieve trachoma elimination as a public health problem. This paper outlines the methodologies of Tropical Data, which supports work to undertake those surveys. METHODS: Tropical Data is a consortium of partners that supports health ministries worldwide to conduct globally standardised prevalence surveys that conform to World Health Organization recommendations. Founding principles are health ministry ownership, partnership and collaboration, and quality assurance and quality control at every step of the survey process. Support covers survey planning, survey design, training, electronic data collection and fieldwork, and data management, analysis and dissemination. Methods are adapted to meet local context and needs. Customisations, operational research and integration of other diseases into routine trachoma surveys have also been supported. RESULTS: Between 29th February 2016 and 24th April 2023, 3373 trachoma surveys across 50 countries have been supported, resulting in 10,818,502 people being examined for trachoma. CONCLUSION: This health ministry-led, standardised approach, with support from the start to the end of the survey process, has helped all trachoma elimination stakeholders to know where interventions are needed, where interventions can be stopped, and when elimination as a public health problem has been achieved. Flexibility to meet specific country contexts, adaptation to changes in global guidance and adjustments in response to user feedback have facilitated innovation in evidence-based methodologies, and supported health ministries to strive for global disease control targets.
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- 2023
28. The power of financial literacy: paving a clear path for the influence of board diversity on intellectual capital disclosure
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Zaid, Mohammad A.A., Issa, Ayman, and Wael Al-Khatib, Ayman
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- 2024
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29. The determinants of export performance in the digital transformation era: empirical evidence from manufacturing firms
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AL-Khatib, Ayman Wael
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- 2024
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30. Endoscopic balloon dilatation for pediatric subglottic stenosis: a meta-analysis of successful outcomes
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Alamri, Abdullah Ahmed, Alnefaie, Majed N., Alsulami, Omar A., Tonkal, Albaraa, Assiry, Maram Mohammed, and Al-Khatib, Talal
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- 2024
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31. Treacher Collins syndrome: A comprehensive review on clinical features, diagnosis, and management
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Jumanah Y. Nassar, Fatma Kefi, Mahinar M. Alhartani, Adnan Alaa Sultan, Talal Al-Khatib, and Osama Y. Safdar
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diagnosis ,features ,multidisciplinary ,pediatrics ,syndrome ,treacher ,Medicine - Abstract
Treacher Collins syndrome is a rare genetic disorder that affects the bone development, resulting in significant craniofacial deformities. The syndrome is characterized by cleft palate, micrognathia, low-set or small ears, and sparse eyelashes. These characteristic symptoms guide for the diagnosis. However, the manifestations may resemble other diseases, which makes the clinical diagnosis difficult. Although the majority of cases are clearly diagnosed at birth, genetic counseling and imaging scans, such as x-ray or computed tomography, may help to confirm the diagnosis. The severity of the disease varies among patients, ranging from mild undiagnosed cases to severe marked deformities. Nevertheless, airway difficulty at birth represents a significant challenge for anesthesiologists since these patients have abnormal development of zygomatic arch, which may result in airway complications. Therefore, proper management requires multidisciplinary departments, including pediatrics, neurosurgery, otolaryngology, audiology, plastic surgery, and genetics. Hence, it can be inherited in an autosomal dominant manner; genetic counseling is also needed.
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- 2024
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32. Responses of rice genotypes to foliar-applied metribuzin
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Marsh, Sarah L and Al-Khatib, Kassim
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Agricultural Biotechnology ,Agriculture ,Land and Farm Management ,Agricultural ,Veterinary and Food Sciences ,Crop and Pasture Production ,Photosystem II-inhibiting herbicides ,visible injury ,Agronomy & Agriculture ,Crop and pasture production - Abstract
The increasing development of herbicide resistance in weeds found in rice cropping systems has encouraged researchers to evaluate alternate herbicides to prevent and manage herbicide-resistant weed biotypes. Metribuzin is a photosynthetic-inhibiting herbicide that controls various important grass and broadleaf weeds. Several crops, including soybean, wheat, peas, and potato, have shown differential varietal responses to metribuzin. To determine whether rice has differential varietal responses to metribuzin for potential utilization in a rice breeding program, greenhouse experiments were conducted to evaluate the responses of 142 long-, medium-, and short-grain rice genotypes to the herbicide. Metribuzin was applied at 0, 22, 44, 88, 176, and 352 g ai ha-1 when rice plants were in the 3- to 4-leaf stage. Crop response regarding phytotoxicity, height reduction, and biomass reduction was evaluated. Metribuzin caused significant injury to all rice genotypes tested, but short-grain rice genotypes were, on average, more susceptible than medium- and long-grain rice genotypes. Short-grain rice genotypes generally had greater height reduction and produced less biomass than long-grain or medium-grain rice genotypes. Crop visual injury ratings were correlated with plant height reductions and biomass reductions. The results indicate that the level of metribuzin tolerance in rice is inadequate for commercial use; however, further research is needed to develop higher levels of herbicide resistance by mutagenized rice cultivars.
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- 2023
33. 2023 HRS/APHRS/LAHRS guideline on cardiac physiologic pacing for the avoidance and mitigation of heart failure.
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Chung, Mina, Patton, Kristen, Lau, Chu-Pak, Dal Forno, Alexander, Al-Khatib, Sana, Arora, Vanita, Birgersdotter-Green, Ulrika, Cha, Yong-Mei, Chung, Eugene, Cronin, Edmond, Curtis, Anne, Cygankiewicz, Iwona, Dandamudi, Gopi, Dubin, Anne, Ensch, Douglas, Glotzer, Taya, Gold, Michael, Goldberger, Zachary, Gopinathannair, Rakesh, Gorodeski, Eiran, Gutierrez, Alejandra, Guzman, Juan, Huang, Weijian, Imrey, Peter, Indik, Julia, Karim, Saima, Karpawich, Peter, Khaykin, Yaariv, Kiehl, Erich, Kron, Jordana, Kutyifa, Valentina, Link, Mark, Marine, Joseph, Mullens, Wilfried, Park, Seung-Jung, Parkash, Ratika, Patete, Manuel, Pathak, Rajeev, Perona, Carlos, Rickard, John, Schoenfeld, Mark, Seow, Swee-Chong, Shen, Win-Kuang, Shoda, Morio, Singh, Jagmeet, Slotwiner, David, Sridhar, Arun, Srivatsa, Uma, Stecker, Eric, Tanawuttiwat, Tanyanan, Tang, W, Tapias, Carlos, Tracy, Cynthia, Upadhyay, Gaurav, Varma, Niraj, Vernooy, Kevin, Vijayaraman, Pugazhendhi, Worsnick, Sarah, Zareba, Wojciech, and Zeitler, Emily
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Cardiac resynchronization therapy ,Conduction system pacing ,Guideline ,His bundle pacing ,Left bundle branch area pacing ,Child ,Humans ,Bundle of His ,Treatment Outcome ,Cardiac Conduction System Disease ,Cardiac Resynchronization Therapy ,Heart Failure ,Electrocardiography - Abstract
Cardiac physiologic pacing (CPP), encompassing cardiac resynchronization therapy (CRT) and conduction system pacing (CSP), has emerged as a pacing therapy strategy that may mitigate or prevent the development of heart failure (HF) in patients with ventricular dyssynchrony or pacing-induced cardiomyopathy. This clinical practice guideline is intended to provide guidance on indications for CRT for HF therapy and CPP in patients with pacemaker indications or HF, patient selection, pre-procedure evaluation and preparation, implant procedure management, follow-up evaluation and optimization of CPP response, and use in pediatric populations. Gaps in knowledge, pointing to new directions for future research, are also identified.
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- 2023
34. Correction to: Forecasting Potato Production in Major South Asian Countries: a Comparative Study of Machine Learning and Time Series Models
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Mishra, Pradeep, Al khatib, Abdullah Mohammad Ghazi, Alshaib, Bayan Mohamad, Kuamri, Binita, Tiwari, Shiwani, Singh, Aditya Pratap, Yadav, Shikha, Sharma, Divya, and Kumari, Prity
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- 2024
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35. Biomass-Based Activated Carbon
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A. Ahmad, Abdulbari, primary, Alwahbi, Abdulraqeeb, additional, A. Al Khatib, Laila, additional, and Dammag, Hani, additional
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- 2024
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36. Impact of Renewable Energy Adoption and Organizational Culture on Employee Productivity in Jordanian Technology and IT Companies: The Mediating Role of Workplace Sustainability
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Bashar Younis Alkhawaldeh, Amjad Fahed Nahar Tweiqat, Kadri S. Al-Shakri, and Abdullah Yusri Al Khatib
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Employee Productivity, Jordanian Technology and IT Companies, Organizational Culture, PLS-SEM, Renewable Energy Adoption ,Management. Industrial management ,HD28-70 ,Business ,HF5001-6182 - Abstract
This study examined the impact of renewable energy adoption and organizational culture on employee productivity in Jordanian technology and IT companies, with workplace sustainability as a mediating factor. The research targeted employees in the Jordanian technology and IT sector, with a sample size of 454 participants. A quantitative, cross-sectional survey design was employed, utilizing a structured questionnaire. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed significant positive relationships between renewable energy adoption, organizational culture, workplace sustainability, and employee productivity. Both renewable energy adoption and organizational culture demonstrated direct positive effects on employee productivity, as well as indirect effects through workplace sustainability. These findings have important implications for managers and policymakers, highlighting the potential for organizations to enhance employee productivity through sustainable practices and cultural initiatives. The study contributes to the literature by integrating concepts from Stakeholder Theory and Resource-Based View Theory to explain the complex relationships between sustainability initiatives and organizational outcomes in the context of Jordanian technology and IT companies.
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- 2024
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37. Both English- and Spanish-Language Anterior Cruciate Ligament Reconstruction Online Patient Education Materials Are Written at Higher-Than-Recommended Reading Levels
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Jacob S. Ghahremani, B.A., Michael Chapek, B.A., Virginia Xie, B.A., Tanya Watarastaporn, B.S., M.S., Nala A. Al-Khatib, B.S., and Ronald A. Navarro, M.D.
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Sports medicine ,RC1200-1245 - Abstract
Purpose: To examine the overall reading levels of anterior cruciate ligament reconstruction online patient education materials (OPEMs) written in English and Spanish. Methods: We conducted Google searches for OPEMs using “ACL surgery” and “cirugía LCA” as English and Spanish search terms, respectively. Several measures of readability were used to analyze 25 English-language OPEMs (Flesch Reading Ease, Flesch Reading Ease Grade Level, Flesch-Kincaid Grade Level, Coleman-Liau Index, Gunning Fog Index, and Simple Measure of Gobbledygook) and 25 Spanish-language OPEMs (Fernández-Huerta Index, Fernández-Huerta Grade Level, and Índice de Legibilidad de Flesch-Szigriszt). English- and Spanish-language OPEMs were compared based on mean overall grade level and number of OPEMs written below a seventh- or ninth-grade reading level. Results: English-language OPEMs showed a higher mean overall grade level than Spanish-language OPEMs (10.48 ± 1.86 vs 8.64 ± 1.22, P < .001). No significant differences were noted in the number of OPEMs written below a seventh-grade reading level. However, significantly more Spanish-language OPEMs were written below a ninth-grade reading level compared with English-language OPEMs (56% vs 16%, P = .003). Conclusions: Although Spanish-language OPEMs were written at a lower reading level, average readability for both English- and Spanish-language OPEMs was significantly higher than the recommended level. Across both languages, only a single English-language webpage met the American Medical Association–recommended sixth-grade reading level. More Spanish-language articles were written at or below the average adult reading level in the United States. Clinical Relevance: It is imperative that patient educational materials be written at a reading level that is understood by the most patients. This is especially true for OPEMs, when a medical provider is not present to answer questions. Therefore, it is important to evaluate the reading level of OPEMs to determine whether they are written at an appropriate level for the best patient understanding.
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- 2024
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38. Creating optimized machine learning pipelines for PV power generation forecasting using the grid search and tree-based pipeline optimization tool
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Hussam J. Khasawneh, Zaid A. Ghazal, Waseem M. Al-Khatib, Ahmad M. Al-Hadi, and Zaid M. Arabiyat
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Solar energy forecasting ,renewable energy systems ,energy scheduling optimization ,demand response ,machine learning ,genetic algorithm ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
AbstractDemand for electric power, especially amidst limited fossil fuel-based generation capacity, has elevated renewable energy sources to a forefront solution for the growing energy needs. Solar energy, a key renewable source through photovoltaic (PV) panels, faces challenges such as intermittency and non-dispatchability. Thus, recent research has focused on developing programs to predict near-future solar energy generation, with machine learning being a pivotal approach. This article details the creation of an effective machine-learning pipeline for predicting future hourly power generation based on weather data (e.g. temperature, humidity, irradiance). The pipeline, aimed at a scheduling system in a farm equipped with a Solar Power System (SPS) in Al-Salt, Jordan, was optimized using Genetic Algorithm and Grid Search methods. The objective of this article is to create an optimal pipeline with minimal loss. The evaluation shows that ensemble regressors, especially Gradient Boosting Regressors, are effective. This is evidenced in the grid search pipeline, which outperformed the TPOT optimization pipeline-derived pipeline, the latter including stacked ensemble regressors and sequential preprocessors.
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- 2024
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39. Incidence, prevalence and clinical presentation of inflammatory bowel diseases in Northern France: a 30-year population-based studyResearch in context
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Hélène Sarter, Thibaut Crétin, Guillaume Savoye, Mathurin Fumery, Ariane Leroyer, Luc Dauchet, Thierry Paupard, Hugues Coevoet, Pauline Wils, Nicolas Richard, Dominique Turck, Delphine Ley, Corinne Gower-Rousseau, Eric Agoute, Najib Al Ghossaini, Raied Al Hameedi, Myriam Al Khatib, Saria Al Turk, Jean-Marie Andre, Matthieu Antoine, Michel Antonietti, Amar Aouakli, Laura Armengol-Debeir, Ibrahim Aroichane, Fadi Assi, Eric Auxenfants, Alina Avram, Kassem Azzouzi, Damyan Bankovski, Bernard Barbry, Nicolas Bardoux, Philippe Baron, Anne Baudet, Pauline Bayart, Brice Bazin, Arash Bebahani, Jean-Pierre Becqwort, Houssem Ben Ali, Emmanuel Ben Soussan, Coralie Benard, Vincent Benet, Corinne Benguigui, Abdeslam Bental, Sara Bentaleb-Bellati, Isabelle Berkelmans, Jacques Bernet, Karine Bernou, Nathalie Bertiaux-Vandaele, Pauline Bertot, Valérie Bertrand, Emilie Biloud, Nathalie Biron, Benjamin Bismuth, Cyril Blanchard, Maurice Bleuez, Fabienne Blondel, Valérie Blondin, Marius Bobula, Philippe Bohont, Eléonore Boivin, Vanessa Bon Djemah, Eric Boniface, Philippe Bonniere, Pierre Bonvarlet, Arnaud Boruchowicz, Raoul Bostvironnois, Médina Boualit, Ahlem Bouazza, Bruno Bouche, Christian Boudailler, Claude Bourgeaux, Morgane Bourgeois-Fumery, Arnaud Bourguet, Agnès Bourienne, Hamza Boutaleb, Alexis Bouthors, Julien Branche, Franck Brazier, Marie Bridenne, Hélène Brihier, Laura Bril, Philippe Bulois, Pierre Burgiere, Joël Butel, Jean-Yves Canva, Valérie Canva-Delcambre, Florence Cardot, Sandrine Carette, Pierre Carpentier, Michel Cassagnou, Jean-François Cassar, François Castex, Pascale Catala, Stéphane Cattan, Sylviane Catteau, Bernard Caujolle, Gérard Cayron, Catherine Chandelier, Cloé Charpentier, Marthe Chavance-Thelu, Agathe Cheny, Dinu Chirita, Antoine Choteau, Jean-François Claerbout, Pierre-Yves Clergue, Gil Cohen, Marie Colin, Régis Collet, Jean-Frédéric Colombel, Stéphanie Coopman, Lucie Cordiez, Antoine Cortot, Jean Corvisart, Frédéric Couttenier, Jean-François Crinquette, Valérie Crombe, Abdelhakim Daoudi, Vincent Dapvril, Thierry Davion, Sébastien Decoster, Laurent Defontaine, Nicolas Degrave, Aurélien Dejaeger, Richard Delcenserie, Marine Deleplanque, Dorothée Delesalle, Olivier Delette, Thierry Delgrange, Laurence Delhoustal, Jean-Stéphane Delmotte, Sabri Demmane, Guy Deregnaucourt, Constance Deschepper, Jean-Pierre Desechalliers, Patrick Desmet, Pierre Desreumaux, Gérard Desseaux, Philippe Desurmont, Alain Devienne, Eve Devouge, Alex Devroux, Arnaud Dewailly, Sébastien Dharancy, Aude Di Fiore, Emmanuel Diaz, Djamal-Dine Djeddi, Rachid Djedir, Wissam Doleh, Marie-Laure Dreher-Duwat, Richard Dubois, Clothilde Duburque, Frédéric Ducrot, Philippe Ducrotte, André Dufilho, Christian Duhamel, Caroline Dumant-Forest, Jean-Louis Dupas, Frédéric Dupont, Yves Duranton, Arnaud Duriez, Nicolas Duveau, Mohammadi El Farisi, Khalil El Hachkar, Caroline Elie, Marie-Claire Elie-Legrand, Matthieu Eoche, Essmaeel Essmaeel, Dominique Evrard, Jean-Paul Evrard, Armelle Fatome, Karima Fellah-Sekkai, Bernard Filoche, Laurent Finet, Mathilde Flahaut, Camille Flamme, David Foissey, Peggy Fournier, Philippe Foutrein, Marie-Christine Foutrein-Comes, Thierry Frere, Julie Galand, Philippe Gallais, Claudine Gamblin, Serge Ganga, Romain Gerard, Guillaume Geslin, Yves Gheyssens, Salah Ghrib, Thierry Gilbert, Bénédicte Gillet, Denis Godart, Jean-Michel Godchaux, Guetty Goeguebeur, Odile Goria, Frédéric Gottrand, Philippe Gower, Lucien Grados, Brigitte Grandmaison, Marion Groux, Claire Guedon, Loïc Guerbeau, Mathilde Gueroult-Dero, Jean-François Guillard, Laurence Guillem, François Guillemot, Dominique Guimber, Baya Haddouche, Vincent Hautefeuille, Philippe Hecketsweiller, Geneviève Hecquet, Jean-Pierre Hedde, Hassina Hellal, Pierre-Emmanuel Henneresse, Michel Heraud, Sophie Herve, Bruno Heyman, Patrick Hochain, Philippe Houcke, Lucie Houssin-Baillly, Bruno Huguenin, Silviu Iobagiu, Shata Istanboli, Alexsandar Ivanovic, Isabelle Iwanicki-Caron, Eric Janicki, Marine Jarry, Charlotte Jean Bart, Claude Jonas, Julia Jougon, Anne Jouvenet, Naeim Kassar, Fadi Katherin, Alfred Kerleveo, Ali Khachfe, Alfred Kiriakos, Jean Kiriakos, Olivier Klein, Matthieu Kohut, Richard Kornhauser, Demetrios Koutsomanis, Jean-Eric Laberenne, Eric Lacotte, Guy Laffineur, Marine Lagarde, Anouck Lahaye, Arnaud Lalanne, Ambroise Lalieu, Pierre Lannoy, José Lapchin, Michel Laprand, Denis Laude, Christian Le Couteulx, Charles Le Goffic, Alain Le Grix, Jean-Philippe Le Mouel, Pauline Le Roy, Rachida Leblanc, Paul Lecieux, Stéphane Lecleire, Nathalie Leclerc, Jean Ledent, Jean Lefebvre, Pascale Lefilliatre, Céline Legrand, Patrick Lelong, Bernard Leluyer, Caroline Lemaitre, Lucie Lepileur, Antoine Leplat, Elodie Lepoutre-Dujardin, Gabriel Leppeut, Henri Leroi, Maryvonne Leroy, Benoît Lesage, Jocelyn Lesage, Xavier Lesage, Isabelle Lescanne-Darchis, Dominique Lescut, Bruno Leurent, Michel Lhermie, Louise Libier, Bernard Lisambert, Isabelle Loge, Julien Loreau, Alexandre Louvet, Joséphine Lozinguez, Henri Lubrez, Damien Lucidarme, Jean-Jacques Lugand, Olivier Macaigne, Denis Maetz, Dominique Maillard, Hubert Mancheron, Olivia Manolache, Anne-Bérengère Marks-Brunel, Charline Marre, Raymond Marti, Eric Marzloff, Philippe Mathurin, Jacques Mauillon, Vincent Maunoury, Jean-Luc Maupas, Michèle-Ange Medam Djomo, Chloé Melchior, Ziad Melki, B. Mesnard, Patrice Metayer, Lofti Methari, Franck Meurisse, Laurent Michaud, Patricia Modaine, Angélique Monthe, Loïk Morel, Mathilde Morin, Pierre-Eugène Mortier, Perrine Mortreux, Olivier Mouterde, Nicolas Mozziconaci, Jean Mudry, Maria Nachuri, Minh Dung Ngo, Eric N'guyen Khac, Bertrand Notteghem, Vincent Ollevier, Atika Ouraghi, Barriza Oussadou, Dominique Ouvry, Bernard Paillot, Claire Painchart, Nicole Panien-Claudot, Christian Paoletti, Arsène Papazian, Bruno Parent, Jean-Claude Paris, Philippe Patrier, Bernard Pauwels, Mathieu Pauwels, Richard Petit, Muriel Piat, Sandrine Piotte, Christophe Plane, Bernard Plouvier, Eric Pollet, Pierre Pommelet, Daniela Pop, Charlotte Pordes, Gérard Pouchain, Philippe Prades, Jean-Christophe Prevost, Manon Pruit, Gilles Quartier, Anne-Marie Queuniet, Jean-François Quinton, Alain Rabache, Gilles Raclot, Sébastien Ratajczyk, Nicole Reix, Thibaud Renaut-Vantroys, Marine Revillion, Ghassan Riachi, Clémentine Riault, Cécile Richez, Benoît Rimbert, Philippe Robinson, Juan Daniel Rodriguez, Jean Roger, Jean-Marc Roux, Alain Rudelli, Clémence Saingier, Patrick Schlossberg, David Sefrioui, Michel Segrestin, David Seguy, Célik Seminur, François Sevenet, Jean Silvie, Claire Spyckerelle, Nathalie Talbodec, Noémie Tavernier, Henriette Tchandeu, Aurore Techy, Jean-Luc Thelu, Henri Thiebault, Jean-Marie Thorel, Christophe Thuillier, Guillaume Tielman, Manuella Tode, Jean Tonnel, Jean-Yves Touchais, Audrey Toulemonde-Huguet, Pierre Toumelin, Yvan Touze, Léa Tran, Jean-Luc Tranvouez, Nadia Triki, Justine Turpin, Eric Vaillant, Claude Valmage, Dominique Vanco, Nathalie Vandaele-Bertiaux, Hélène Vandamme, Elise Vander Eeken, Etienne Vanderbercq, Philippe Vandermollen, Philippe Vandevenne, Lionel Vandeville, Alain Vandewalle, Jean-Pierre Vanhoove, Audrey Vanrenterghem, Charlotte Vanveuren, Iona Vasies, Guy Verbiese, Juliette Verlynde, Philippe Vermelle, Christine Verne, Gwenola Vernier-Massouille, Perrine Vezelier-Cocq, Juliette Viart, Benoît Vigneron, Marc Vincendet, Jacques Viot, Y.M. Voiment, Jean-Yves Wallez, Michel Wantier, Faustine Wartel, Jean-Christian Weber, Jean-Louis Willocquet, Nathalie Wizla, Eric Wolschies, Tajiogue Yimfor, Oana Zahara, Alberto Zalar, Sonia Zaoui, and Anne Zellweger
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Inflammatory bowel disease ,Incidence ,Prevalence ,Population-based registry ,Crohn’s disease ,Ulcerative colitis ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: In industrialized countries, the incidence of inflammatory bowel disease (IBD) appears stabilized. This study examined the incidence and phenotype of IBD in Northern France over a 30-year period. Methods: Including all IBD patients recorded in the EPIMAD population-based registry from 1988 to 2017 in Northern France, we described the incidence and clinical presentation of IBD according to age, sex and time. Findings: A total of 22,879 incident IBD cases were documented (59% (n = 13,445) of Crohn’s disease (CD), 38% (n = 8803) of ulcerative colitis (UC), 3% (n = 631) of IBD unclassified (IBDU)). Over the study period, incidence of IBD, CD and UC was 12.7, 7.2 and 5.1 per 105 person-years, respectively. The incidence of CD increased from 5.1/105 in 1988–1990 to 7.9/105 in 2015–2017 (annual percent change (APC): +1.9%, p
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- 2024
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40. Validity and reliability of tooth size and dental arch measurements: a stereo photogrammetric study
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Al-Khatib Ali R., Rajion Zainul A., Masudi Sam’an M., Hassan Rozita, and Townsend Grant C.
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Dentistry ,RK1-715 - Abstract
Background: The development of three-dimensional computer imaging has many applications in dentistry, including the analysis of dental casts.
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- 2012
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41. Name order effects on cobrand perceptions: the impacts of product similarity and language structure
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Sailors, John J., Al-Khatib, Jamal A., Khzindar, Tarik, and Ezzi, Shaza
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- 2024
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42. Enhancing malware detection performance: leveraging K-Nearest Neighbors with Firefly Optimization Algorithm
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Al Saaidah, Adeeb, Abualhaj, Mosleh M., Shambour, Qusai Y., Abu-Shareha, Ahmad Adel, Abualigah, Laith, Al-Khatib, Sumaya N., and Alraba’nah, Yousef H
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- 2024
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43. Patient Preferences for Features Associated With Leadless Versus Conventional Transvenous Cardiac Pacemakers
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Reed, Shelby D., Yang, Jui-Chen, Wallace, Matthew J., Sutphin, Jessie, Johnson, F. Reed, Ozdemir, Semra, Delgado, Stephanie M., Goates, Scott, Harbert, Nicole, Lo, Monica, Rajagopalan, Bharath, Ip, James E., and Al-Khatib, Sana M.
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- 2024
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44. Evaluating the performance of the Anwaralardh photovoltaic power generation plant in Jordan: Comparative analysis using artificial neural networks and multiple linear regression modeling
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Suhaib Ibrahim Alma'asfa, Feras Younes Fraige, Mohd Sharizal Abdul Aziz, Chu Yee Khor, and Laila A Al-Khatib
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artificial neural networks ,photovoltaic solar power plant ,multiple linear regression ,solar energy ,Renewable energy sources ,TJ807-830 - Abstract
The global energy demand is rising, driven by population growth, economic development, and industrialization. Shifting towards renewable energy, like solar energy, is gaining momentum worldwide because of ecological concerns and resource depletion. This paper aims to utilize Artificial Neural Networks (ANNs) and multiple linear regression (MLR) modeling techniques to evaluate the productivity of 11 MW photovoltaic (PV) solar power plant currently operational in Jordan. The case study reveals that both models can be used to predict the daily, monthly, and yearly average power produced and system efficiency with reasonable accuracy. The ANN model exhibited promising results, where the best value for the coefficient of determination (R2) and mean absolute percentage error (MAPE) for training were 95.85% and 0.59%, respectively. However, R2 was 93.7%, and MAPE was 1.27% for validation tests. All these results were achieved using a 7-6-1 model, with a sample ratio of 1:1 for the data allocated in training and validation. When using multiple linear regression, the R2 and standard error values were 93.42% and 0.17%. On the other hand, the results showed that the yearly output power for actual and predicted by both models over the year was 24,399 MWh, 24,538 MWh, and 24,401 MWh, respectively. This research showed valuable results in the monthly output power for solar cells at the Anwaralardh PV power system project, contributing to a better understanding of solar energy generation in arid desert climates and emphasizing the potential of solar power plants to play a crucial role in achieving SDG 7 objectives.
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- 2024
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45. Future Direction Of Intelligent Human Resources Management Applications In Employee Performance Measurement And Data Analysis In The Industrial Sector In Jordan
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Kafa Al Nawaiseh, Abdullah AL Khatib, Fayiz Sharari, Victor Soultanian, and Al’a Jaradat
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intelligent hrm applications ,employee performance measurement ,data analysis ,industrial sector in jordan ,Technology - Abstract
The world today gives much importance to human resource management which is viewed as the gate towards effective performance. In this respect, the application of intelligent human resources management increases the effectiveness of HRM and brings about effective performance. Given the importance of this topic, this study sought to evaluate the future direction of intelligent human resources management applications in employee performance measurement and data analysis in the industrial sector in Jordan. It specifically evaluated the effect of intelligent human resources management applications (recruitment and talent acquisition, learning and development, benefits and incentives, workforce planning and improvement) on measuring the performance of employees and analyzing data in the Jordanian industrial sector. This research used the descriptive-inferential method (Inductive Descriptive Methodology). The population included all employees in the supervisory authorities of the 33 industrial companies listed on the ASE, while the sample includes 146 participants. This research found that human resources management applications directly affect measuring the performance of employees and analyzing data in the Jordanian industrial sector. The novelty of this research is that, unlike the previous studies like Al-Wakeel and Ibraheem (2020) and Wang (2024) that were applied to samples from different countries other than Jordan, it specifically addresses the effect of HRM practices on measuring the performance of employees and analyzing data in the Jordanian industrial sector. This research provides the Industrial Sector in Jordan with the necessary knowledge of the future directions of intelligent human management. Adopting intelligent human resource management is deemed important for the Jordanian industrial sector. It is very important to carry out this research to highlight the effect of human resources management applications on measuring the performance of employees and analyzing data in the Jordanian industrial sector.
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- 2024
46. Female Students’ Role in University Violence in Jordan: An Anthropological Study
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Al-Khatib, Heyam and Al-Shorman, Abdulla
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- 2024
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47. Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation
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Palomino, Alonso, Potthast, Martin, Al-Khatib, Khalid, and Stein, Benno
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Computer Science - Computation and Language ,Computer Science - Information Retrieval - Abstract
Most research on natural language processing treats bias as an absolute concept: Based on a (probably complex) algorithmic analysis, a sentence, an article, or a text is classified as biased or not. Given the fact that for humans the question of whether a text is biased can be difficult to answer or is answered contradictory, we ask whether an "absolute bias classification" is a promising goal at all. We see the problem not in the complexity of interpreting language phenomena but in the diversity of sociocultural backgrounds of the readers, which cannot be handled uniformly: To decide whether a text has crossed the proverbial line between non-biased and biased is subjective. By asking "Is text X more [less, equally] biased than text Y?" we propose to analyze a simpler problem, which, by its construction, is rather independent of standpoints, views, or sociocultural aspects. In such a model, bias becomes a preference relation that induces a partial ordering from least biased to most biased texts without requiring a decision on where to draw the line. A prerequisite for this kind of bias model is the ability of humans to perceive relative bias differences in the first place. In our research, we selected a specific type of bias in argumentation, the stance bias, and designed a crowdsourcing study showing that differences in stance bias are perceptible when (light) support is provided through training or visual aid., Comment: Accepted at AACL-IJCNLP 2022, Findings Volume
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- 2022
48. The efficacy of azithromycin in the treatment of influenza A infection: A systematic review [version 1; peer review: awaiting peer review]
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Yasser Amer Abd Alsamad, Osamah Abdul Muin Daas, Mohammad Talal Allababidi, Alaa Samer Al-Khatib, Farah Ala'a Ali Abu-Assi, Laelas Ahmad Rateb Barnia, Rabih Halwani, Wael Eltayeb, and Abubakr H Mossa
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Systematic Review ,Articles ,Azithromycin ,influenza A ,guidelines ,influenza pandemic ,macrolides - Abstract
Background The WHO recommendation against the use of macrolides reflects the little low-quality evidence about the effect of azithromycin (AZ) on influenza A infection. Considering recent reports about AZ use despite the WHO’s unfavorable recommendations, we aimed to test the evidence for the usage of AZ in the treatment of influenza A infection. Methods Various online databases were searched till August 2023 and thorough text and evidence evaluation resulted in selecting 7 studies. Results The selected reports included randomized control trials (two), cohort (three), case/control (one) studies, and one case report. Pooling of the results was unattainable due to the variability among studies in patient criteria, study outcomes, and study designs. Based on the limited reports with insufficient evidence, a recommendation for the use of AZ in the treatment regimen was not possible despite the associated reduction in inflammatory cytokines by AZ administration and the absence of significant adverse effects or mortality in hospital-admitted or ICU patients. While these findings support the current guidelines for the treatment of influenza A infection, the evidence behind these guidelines and treatment characteristics were illustrated. Conclusion AZ shows a potential symptom improvement and pro-inflammatory laboratory indices in influenza A patients. Another positive aspect is the absence of complications associated with AZ administration to critically ill patients and acceptable prognosis. However, it is crucial to have more quality research on this matter that focuses on the indication of the use of AZ, and the timing of initiation, dosage, and duration of treatment while monitoring adverse events.
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- 2024
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49. Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models.
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Roxanne El Baff, Khalid Al Khatib, Milad Alshomary, Kai Konen, Benno Stein 0001, and Henning Wachsmuth
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- 2024
50. Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts.
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Arianna Muti, Federico Ruggeri, Khalid Al-Khatib, Alberto Barrón-Cedeño, and Tommaso Caselli
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- 2024
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