1,298 results on '"Fatima T"'
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2. INVESTIGATION OF THE IMPACT OF DIFFERENT PARAMETERS ON THE MORPHOLOGY OF ELECTROSPUN POLYURETHANE NANOFIBERS
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Fatima T. Sabri and Manaf A. Mahammed
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Electrospinning ,nanofibers ,polyurethane ,Concentration ,Flowrate ,High voltage ,Science - Abstract
In this research, nonwoven nanofiber mats were prepared using the electrospinning method for the solution of polyurethane polymer dissolved in acetic acid. Effects of solution concentration, solution flow rate, as well as high voltage on the morphonology and wettability of the prepared nanofibers were studied. Nanofiber morphology was investigated through the analysis of scanning electron microscopy (SEM) micrographs using ImageJ software, while the wettability of the nanofiber mat surfaces was studied through the measurement of the contact angle. Results revealed that when the concentration of the solution was changed from 8wt% to 12wt%, the average nanofiber diameter showed a significant increase from 0.326 µm to 0.380 µm, while the contact angle increased from 39 degrees to 79 degrees. Results also showed that when the applied high voltage was changed from 10 KV to 25 KV, the average nanofiber diameter decreased and then increased within the range of 0.380 to 0.497 µm and that the contact angle was increased from 81 degrees to 108 degrees showing an obvious switching from hydrophilic towards hydrophobic surface. When the syringe pump flow rate was changed from 0.012 ml/min to 0.02 ml/min, morphology measurements showed that the average nanofiber diameter showed a significant increase from 0.351 µm to 0.456 µm, and the surface contact angle was also increased from 43 degrees to 98 degrees. Finally, the results of Fourier Transform Infrared Spectroscopy (FTIR) and X-ray diffraction analysis (XRD) tests showed that the electrospun polyurethane polymer material used in this work was not changed during the electrospinning process.
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- 2024
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3. Eotaxin-1/CCL11 promotes cellular senescence in human-derived fibroblasts through pro-oxidant and pro-inflammatory pathways
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Patrícia Lavandoski, Vinícius Pierdoná, Rafael Moura Maurmann, Lucas Kich Grun, Fatima T. C. R. Guma, and Florencia María Barbé-Tuana
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CCL11 ,eotaxin-1 ,senescence ,fibroblasts ,asthma ,premature aging ,Immunologic diseases. Allergy ,RC581-607 - Abstract
IntroductionEotaxin-1/CCL11 is a pivotal chemokine crucial for eosinophil homing to the lungs of asthmatic patients. Recent studies also suggest that CCL11 is involved in the aging process, as it is upregulated in elderly, and correlated with shorter telomere length in leukocytes from asthmatic children. Despite its potential pro-aging effects, the precise contribution of CCL11 and the underlying mechanisms involved in the promotion of cellular senescence remains unclear. Therefore, the primary goal of this study was to explore the role of CCL11 on senescence development and the signaling pathways activated by this chemokine in lung fibroblasts.MethodsTo investigate the targets potentially modulated by CCL11, we performed an in silico analysis using PseudoCell. We validated in vitro the activation of these targets in the human lung fibroblast cell line MRC-5 following rhCCL11 exposure. Finally, we performed differential gene expression analysis in human airway epithelial cells of asthmatic patients to assess CCL11 signaling and activation of additional senescent markers.ResultsOur study revealed that eotaxin-1/CCL11 promote reactive oxygen secretion (ROS) production in lung fibroblasts, accompanied by increased activation of the DNA damage response (DDR) and p-TP53 and γH2AX. These modifications were accompanied by cellular senescence promotion and increased secretion of senescence-associated secretory phenotype inflammatory cytokines IL-6 and IL-8. Furthermore, our data show that airway epithelial lung cells from atopic asthmatic patients overexpress CCL11 along with aging markers such as CDKN2A (p16INK4a) and SERPINE1.DiscussionThese findings provide new insights into the mechanisms underlying the pro-aging effects of CCL11 in the lungs of asthmatic patients. Understanding the role of CCL11 on senescence development may have important implications for the treatment of age-related lung diseases, such as asthma.
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- 2023
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4. Introverted Spatial Narrative: Azimuths and Linearity
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Yuri M. Tkhagazitov, Fatima T. Uzdenova, and Takhir Z. Tolgurov
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l.n. tolstoy’s prose ,chronotope ,temporality ,spatial representations ,topology ,narrative ,linearity ,extent ,Education (General) ,L7-991 ,Language and Literature - Abstract
The article is devoted to the analysis of topological models of L.N. Tolstoy. The goal is to recearch the narrative and suggestive functions of the writer’s individual spatial representations, as well as their role in creating the emotive-evaluative structure of the narrative. The material of the study was the works: “Childhood”, “Foray”, “Master and Worker”, “Resurrection”. In modern literary criticism, there are de facto no studies of the writer’s spatial reflection, which already ensures a high level of relevance of the material presented. The main research methods were comparative, structural and descriptive, hermeneutic and interpretive, historical and functional, as well as the method of semantic analysis. In modern literary criticism, there are no actually studies of the spatial reflection of the writer, which already ensures a high level of relevance of the material presented. As a result of referring to the texts of several, especially illustrative works of the prose writer, the authors of the article come to two important conclusions. Firstly, the texts of L. Tolstoy testify that the writer did not focus on the linear and distance characteristics of the described topoi, limiting himself to the degree of their completeness and detail, which made it possible to create a reliable picture of the emotional and psychological state of the characters (this was explained by the artist’s overwhelming interest in the inner world of the characters, to revealing their mental and moral and ethical dominants). The objects described in the writer’s works, although they give some idea of the areas of the ongoing action, in most cases act as sets of isolated points and objects. In the first case, such references are presented as a space of stable emotional and evaluative states of the characters (“Compound”, “road”, “field”), in the second case, by means of a concentrated enumeration of them, the author creates paintings saturated with traditional everyday associations, again, in order to create an effect of emotional contrast. Secondly, the writer, in general, tended to describe limited locations, to depict the closest to the point of observation of the author and the hero. According to the authors, it’s explained, by the peculiarities of L. Tolstoy’s psychotype, which were formed in the deep childhood of the writer. The study revealed that in the formation of the topology of narrative episodes, the writer was primarily interested in the internal movement of the human soul and he could well experiment with the narrative space in order to “obscure”, dematerialize it in order to fully concentrate on the main object of his attention.
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- 2022
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5. An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients
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Sara A. Schmidt, Somayeh Shahsavarani, Rafay A. Khan, Yihsin Tai, Elsa C. Granato, Caterina M. Willson, Pedro Ramos, Paul Sherman, Carlos Esquivel, Bradley P. Sutton, and Fatima T. Husain
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Tinnitus ,Resting state functional connectivity ,fMRI ,Reliability ,ICC ,Default mode network ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Resting state functional connectivity (RS-FC) studies of tinnitus over the years have produced inconsistent results. While findings can be organized into broad categories, such as increased correlations between auditory and limbic areas in tinnitus patients and a disrupted default mode network, there has been little one-to-one correspondence of results across RS-FC studies of tinnitus. While some of this variation can be explained by the heterogeneity of the tinnitus population, including tinnitus severity, the sources of variability in RS-FC of tinnitus patients are unclear. To directly assess the reliability of RS-FC measures in tinnitus, both tinnitus and control participants from two different sites (University of Illinois at Urbana-Champaign, or UIUC, and the Wilford Hall Ambulatory Surgical Center, or WHASC, at the Lackland Airforce Base in San Antonio, Texas) participated in two resting state MRI scans separated by exactly one week. Seed-to-seed analysis assessing correlations between the fMRI activity of 27 regions in the default mode, dorsal attention, auditory, visual, salience, and emotional processing networks were examined in control and tinnitus participants separately for each site. Additionally, heart rate and respiration measures were collected at UIUC, and the effect of extra physiological corrections using these measures on reliability was examined within the UIUC participants. Intra-class correlation coefficients (ICCs) were used as the measure of reliability. Overall, RS-FC in a seed-to-seed analysis was as reliable in tinnitus participants as it was in control participants in the seed regions examined. As previously shown in studies of participants with normal hearing sensitivity, intra-network reliability was higher than inter-network reliability. Related to this, stronger correlations between two seed regions were predictive of stronger reliability of the connectivity between those regions. These effects were seen in both control and tinnitus populations. Additional physiological corrections did not have a significant impact on the ICC values. The current study demonstrates that, on a whole-brain level, RS-FC assessed via seed-to-seed analysis is reliable in tinnitus participants. We therefore must look to other sources as potential causes of discrepancies across studies, such as variability within analysis techniques or within the behavioral characteristics of tinnitus participants.
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- 2023
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6. cGAS-STING pathway as a potential trigger of immunosenescence and inflammaging
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Carine Raquel Richter Schmitz, Rafael Moura Maurmann, Fatima T. C. R. Guma, Moisés Evandro Bauer, and Florencia Maria Barbé-Tuana
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aging ,cGAS ,immunosenescence ,inflammaging ,NF-κB ,SASP ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Aging is associated with an increased incidence of autoimmune diseases, despite the progressive decline of immune responses (immunosenescence). This apparent paradox can be explained by the age-related chronic low-grade systemic inflammation (inflammaging) and progressive dysregulation of innate signaling. During cellular aging, there is an accumulation of damaged DNA in the cell’s cytoplasm, which serves as ubiquitous danger-associated molecule, promptly recognized by DNA sensors. For instance, the free cytoplasmic DNA can be recognized, by DNA-sensing molecules like cGAS-STING (cyclic GMP-AMP synthase linked to a stimulator of interferon genes), triggering transcriptional factors involved in the secretion of pro-inflammatory mediators. However, the contribution of this pathway to the aging immune system remains largely unknown. Here, we highlight recent advances in understanding the biology of the cGAS-STING pathway, its influence on the senescence-associated secretory phenotype (SASP), and its modulation of the immune system during sterile inflammation. We propose that this important stress sensor of DNA damage is also a trigger of immunosenescence and inflammaging.
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- 2023
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7. A large-scale diffusion imaging study of tinnitus and hearing loss
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Rafay A. Khan, Bradley P. Sutton, Yihsin Tai, Sara A. Schmidt, Somayeh Shahsavarani, and Fatima T. Husain
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Medicine ,Science - Abstract
Abstract Subjective, chronic tinnitus, the perception of sound in the absence of an external source, commonly occurs with many comorbidities, making it a difficult condition to study. Hearing loss, often believed to be the driver for tinnitus, is perhaps one of the most significant comorbidities. In the present study, white matter correlates of tinnitus and hearing loss were examined. Diffusion imaging data were collected from 96 participants—43 with tinnitus and hearing loss (TINHL), 17 with tinnitus and normal hearing thresholds (TINNH), 17 controls with hearing loss (CONHL) and 19 controls with normal hearing (CONNH). Fractional anisotropy (FA), mean diffusivity and probabilistic tractography analyses were conducted on the diffusion imaging data. Analyses revealed differences in FA and structural connectivity specific to tinnitus, hearing loss, and both conditions when comorbid, suggesting the existence of tinnitus-specific neural networks. These findings also suggest that age plays an important role in neural plasticity, and thus may account for some of the variability of results in the literature. However, this effect is not seen in tractography results, where a sensitivity analysis revealed that age did not impact measures of network integration or segregation. Based on these results and previously reported findings, we propose an updated model of tinnitus, wherein the internal capsule and corpus callosum play important roles in the evaluation of, and neural plasticity in response to tinnitus.
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- 2021
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8. Inhibitory control and value-directed strategic attention in persons with mild age-related hearing loss
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Shraddha A. Shende, Elizabeth A. Lydon, Fatima T. Husain, and Raksha A. Mudar
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Age-related hearing loss ,Inhibitory control ,Value-directed strategic attention ,Cognitive control ,Geriatrics ,RC952-954.6 - Abstract
Background: Growing evidence suggests changes in cognitive control in persons with age-related hearing loss (ARHL); however, the nature of these alterations especially in those with mild ARHL needs further investigation. Methods: This study examined group differences in cognitive control between 20 older adults with unaided mild ARHL and 20 age- and education-matched normal hearing (NH) controls using inhibitory control and value-directed strategic attention tasks. Additionally, the association between inhibitory control and strategic attention was evaluated. A visual Go/No-Go task and a value-directed word list learning task were used to examine inhibitory control and value-directed strategic attention, respectively. Results: Data analysis revealed that the persons with mild ARHL performed worse on both tasks relative to NH controls, suggesting poorer inhibitory control and lower value-directed strategic attention. Additionally, poorer inhibitory control was associated with worse strategic attention even when demographic variables, cognitive screening score, and hearing ability were controlled. Conclusions: Our findings contribute to the body of literature on modality-independent changes in cognitive control in persons with mild ARHL and advance our knowledge of the links between cognitive control processes.
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- 2022
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9. Invariant structural and functional brain regions associated with tinnitus: A meta-analysis
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John C. Moring, Fatima T. Husain, Jodie Gray, Crystal Franklin, Alan L. Peterson, Patricia A. Resick, Amy Garrett, Carlos Esquivel, and Peter T. Fox
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Medicine ,Science - Abstract
Tinnitus is a common, functionally disabling condition of often unknown etiology. Neuroimaging research to better understand tinnitus is emerging but remains limited in scope. Voxel-based physiology (VBP) studies detect tinnitus-associated pathophysiology by group-wise contrast (tinnitus vs controls) of resting-state indices of hemodynamics, metabolism, and neurovascular coupling. Voxel-based morphometry (VBM) detects tinnitus-associated neurodegeneration by group-wise contrast of structural MRI. Both VBP and VBM studies routinely report results as atlas-referenced coordinates, suitable for coordinate-based meta-analysis (CBMA). Here, 17 resting-state VBP and 8 VBM reports of tinnitus-associated regional alterations were meta-analyzed using activation likelihood estimation (ALE). Acknowledging the need for data-driven insights, ALEs were performed at two levels of statistical rigor: corrected for multiple comparisons and uncorrected. The corrected ALE applied cluster-level inference thresholding by intensity (z-score > 1.96; p < 0.05) followed by family-wise error correction for multiple comparisons (p < .05, 1000 permutations) and fail-safe correction for missing data. The corrected analysis identified one significant cluster comprising five foci in the posterior cingulate gyrus and precuneus, that is, not within the primary or secondary auditory cortices. The uncorrected ALE identified additional regions within auditory and cognitive processing networks. Taken together, tinnitus is likely a dysfunction of regions spanning multiple canonical networks that may serve to increase individuals’ interoceptive awareness of the tinnitus sound, decrease capacity to switch cognitive sets, and prevent behavioral and cognitive attention to other stimuli. It is noteworthy that the most robust tinnitus-related abnormalities are not in the auditory system, contradicting collective findings of task-activation literature in tinnitus.
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- 2022
10. Karachai-Balkar Literature and Ethnic Identity Problems
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Gulfiya J. Baziyeva and Fatima T. Uzdenova
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bilingualism ,Arabic language ,Russian literature ,ethnic identity ,educational literature ,Soviet literature ,postmodernism ,the North Caucasus ,Philology. Linguistics ,P1-1091 - Abstract
In the modern period, the problem of bilingualism in the literary-artistic aspect is connected both with the study of the speech characteristics of characters in artistic works and with the analysis of the literature created by bilingual writers and perceived by bilingual societies. In the formation and development of the artistic literary school in the North Caucasus, the dissemination and study of Arabic and Russian languages was very important. The article traces the dynamics of the development of bilingualism in the artistic prose of the North Caucasus peoples (XIX - beginning of the XXI century). The novelty of the research is due to the cultural approach to the analysis of bilingualism as an important phenomenon that reflects mental, ethnocultural and universal spiritual values.
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- 2019
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11. Decreased resting perfusion in precuneus and posterior cingulate cortex predicts tinnitus severity
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Benjamin J. Zimmerman, Sara A. Schmidt, Rafay A. Khan, Yihsin Tai, Somayeh Shahsavarani, and Fatima T. Husain
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Tinnitus ,Perfusion ,Arterial spin labeling ,Default mode network ,Hearing loss ,Magnetic resonance imaging ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Functional magnetic resonance imaging has been increasingly used to understand the mechanisms involved in subjective tinnitus; however, researchers have struggled to reach a consensus about a primary mechanistic model to explain tinnitus. While many studies have used functional connectivity of the BOLD signal to understand how patterns of activity change with tinnitus severity, there is much less research on whether there are differences in more fundamental physiology, including cerebral blood flow, which may help inform the BOLD measures. Here, arterial spin labeling was used to measure perfusion in four regions-of-interest, guided by current models of tinnitus, in a sample of 60 tinnitus patients and 31 control subjects. We found global reductions in cerebral perfusion in tinnitus compared with controls. Additionally, we observed a significant negative correlation between tinnitus severity and perfusion. These results demonstrate that examining perfusion from the whole brain may present a complementary tool for studying tinnitus. More research will help better understand the physiology underlying these differences in perfusion.
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- 2021
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12. Comparing Cyclicity Analysis With Pre-established Functional Connectivity Methods to Identify Individuals and Subject Groups Using Resting State fMRI
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Somayeh Shahsavarani, Ivan T. Abraham, Benjamin J. Zimmerman, Yuliy M. Baryshnikov, and Fatima T. Husain
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resting state fMRI ,cyclicity analysis ,functional interactivity ,tinnitus ,classification ,fingerprinting ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
The resting state fMRI time series appears to have cyclic patterns, which indicates presence of cyclic interactions between different brain regions. Such interactions are not easily captured by pre-established resting state functional connectivity methods including zero-lag correlation, lagged correlation, and dynamic time warping distance. These methods formulate the functional interaction between different brain regions as similar temporal patterns within the time series. To use information related to temporal ordering, cyclicity analysis has been introduced to capture pairwise interactions between multiple time series. In this study, we compared the efficacy of cyclicity analysis with aforementioned similarity-based techniques in representing individual-level and group-level information. Additionally, we investigated how filtering and global signal regression interacted with these techniques. We obtained and analyzed fMRI data from patients with tinnitus and neurotypical controls at two different days, a week apart. For both patient and control groups, we found that the features generated by cyclicity and correlation (zero-lag and lagged) analyses were more reliable than the features generated by dynamic time warping distance in identifying individuals across visits. The reliability of all features, except those generated by dynamic time warping, improved as the global signal was regressed. Nevertheless, removing fluctuations >0.1 Hz deteriorated the reliability of all features. These observations underscore the importance of choosing appropriate preprocessing steps while evaluating different analytical methods in describing resting state functional interactivity. Further, using different machine learning techniques including support vector machines, discriminant analyses, and convolutional neural networks, our results revealed that the manifestation of the group-level information within all features was not sufficient enough to dissociate tinnitus patients from controls with high sensitivity and specificity. This necessitates further investigation regarding the representation of group-level information within different features to better identify tinnitus-related alternation in the functional organization of the brain. Our study adds to the growing body of research on developing diagnostic tools to identify neurological disorders, such as tinnitus, using resting state fMRI data.
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- 2020
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13. Dissociating tinnitus patients from healthy controls using resting-state cyclicity analysis and clustering
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Benjamin J. Zimmerman, Ivan Abraham, Sara A. Schmidt, Yuliy Baryshnikov, and Fatima T. Husain
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Tinnitus ,Resting-state fMRI ,Cyclicity ,Classification ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Chronic tinnitus is a common and sometimes debilitating condition that lacks scientific consensus on physiological models of how the condition arises as well as any known cure. In this study, we applied a novel cyclicity analysis, which studies patterns of leader-follower relationships between two signals, to resting-state functional magnetic resonance imaging (rs-fMRI) data of brain regions acquired from subjects with and without tinnitus. Using the output from the cyclicity analysis, we were able to differentiate between these two groups with 58–67% accuracy by using a partial least squares discriminant analysis. Stability testing yielded a 70% classification accuracy for identifying individual subjects’ data across sessions 1 week apart. Additional analysis revealed that the pairs of brain regions that contributed most to the dissociation between tinnitus and controls were those connected to the amygdala. In the controls, there were consistent temporal patterns across frontal, parietal, and limbic regions and amygdalar activity, whereas in tinnitus subjects, this pattern was much more variable. Our findings demonstrate a proof-of-principle for the use of cyclicity analysis of rs-fMRI data to better understand functional brain connectivity and to use it as a tool for the differentiation of patients and controls who may differ on specific traits. Chronic tinnitus is a common, yet poorly understood, condition without a known cure. Understanding differences in the functioning of brains of tinnitus patients and controls may lead to better knowledge regarding the physiology of the condition and to subsequent treatments. There are many ways to characterize relationships between neural activity in different parts of the brain. Here, we apply a novel method, called cyclicity analysis, to functional MRI data obtained from tinnitus patients and controls over a period of wakeful rest. Cyclicity analysis lends itself to interpretation as analysis of temporal orderings between elements of time-series data; it is distinct from methods like periodicity analysis or time correlation analysis in that its theoretical underpinnings are invariant to changes in time scales of the generative process. In this proof-of-concept study, we use the feature generated from the cyclicity analysis of the fMRI data to investigate group level differences between tinnitus patients and controls. Our findings indicate that temporal ordering of regional brain activation is much more consistent in the control population than in tinnitus population. We also apply methods of classification from machine learning to differentiate between the two populations with moderate amount of success.
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- 2018
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14. Connectivity of precuneus to the default mode and dorsal attention networks: A possible invariant marker of long-term tinnitus
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Sara A. Schmidt, Jake Carpenter-Thompson, and Fatima T. Husain
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Resting state functional connectivity studies of tinnitus have provided inconsistent evidence concerning its neural bases. This may be due to differences in the methodology used, but it is also likely related to the heterogeneity of the tinnitus population. In this study, our goal was to identify resting state functional connectivity alterations that consistently appear across tinnitus subgroups. We examined two sources of variability in the subgroups: tinnitus severity and the length of time a person has had chronic tinnitus (referred to as tinnitus duration). Data for the current large-scale analysis of variance originated partly from our earlier investigations (Schmidt et al., 2013; Carpenter-Thompson et al., 2015) and partly from previously unpublished studies. Decreased correlations between seed regions in the default mode network and the precuneus were consistent across individuals with long-term tinnitus (who have had tinnitus for greater than one year), with more bothersome tinnitus demonstrating stronger decreases. In the dorsal attention network, patients with moderately severe tinnitus showed increased correlations between seeds in the network and the precuneus, with this effect also present in only some patients with mild tinnitus. The same effects were not seen in patients with mild tinnitus and tinnitus duration between 6 and 12months. Our results are promising initial steps towards identifying invariant neural correlates of tinnitus and indexing differences between subgroups. Keywords: Tinnitus, Resting state functional connectivity, fMRI, Default mode network, Dorsal attention network, Precuneus
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- 2017
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15. Functional Brain Changes During Mindfulness-Based Cognitive Therapy Associated With Tinnitus Severity
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Benjamin Zimmerman, Megan Finnegan, Subhadeep Paul, Sara Schmidt, Yihsin Tai, Kelly Roth, Yuguo Chen, and Fatima T. Husain
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tinnitus ,mindfulness-based cognitive therapy ,resting state MRI ,functional MRI ,graph connectivity analysis ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Mindfulness-based therapies have been introduced as a treatment option to reduce the psychological severity of tinnitus, a currently incurable chronic condition. This pilot study of twelve subjects with chronic tinnitus investigates the relationship between measures of both task-based and resting state functional magnetic resonance imaging (fMRI) and measures of tinnitus severity, assessed with the Tinnitus Functional Index (TFI). MRI was measured at three time points: before, after, and at follow-up of an 8-week long mindfulness-based cognitive therapy intervention. During the task-based fMRI with affective sounds, no significant changes were observed between sessions, nor was the activation to emotionally salient compared to neutral stimuli significantly predictive of TFI. Significant results were found using resting state fMRI. There were significant decreases in functional connectivity among the default mode network, cingulo-opercular network, and amygdala across the intervention, but no differences were seen in connectivity with seeds in the dorsal attention network (DAN) or fronto-parietal network and the rest of the brain. Further, only resting state connectivity between the brain and the amygdala, DAN, and fronto-parietal network significantly predicted TFI. These results point to a mostly differentiated landscape of functional brain measures related to tinnitus severity on one hand and mindfulness-based therapy on the other. However, overlapping results of decreased amygdala connectivity with parietal areas and the negative correlation between amygdala-parietal connectivity and TFI is suggestive of a brain imaging marker of successful treatment.
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- 2019
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16. Cognitive Flexibility and Inhibition in Individuals with Age-Related Hearing Loss
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Shraddha A. Shende, Lydia T. Nguyen, Elizabeth A. Lydon, Fatima T. Husain, and Raksha A. Mudar
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age-related hearing loss ,speech-in-noise recognition ,hearing ,cognitive flexibility ,inhibition ,Geriatrics ,RC952-954.6 - Abstract
Growing evidence suggests alterations in cognitive control processes in individuals with varying degrees of age-related hearing loss (ARHL); however, alterations in those with unaided mild ARHL are understudied. The current study examined two cognitive control processes, cognitive flexibility, and inhibition, in 21 older adults with unaided mild ARHL and 18 age- and education-matched normal hearing (NH) controls. All participants underwent comprehensive audiological and cognitive evaluations including Trail Making Test-B, Verbal Fluency, Stroop, and two Go/NoGo tasks. Group differences in cognitive flexibility and inhibition as well as associations between peripheral and central hearing ability and measures of cognitive flexibility and inhibition were investigated. Findings revealed that the ARHL group took significantly longer to complete the Stroop task and had higher error rates on NoGo trials on both Go/NoGo tasks relative to the NH controls. Additionally, poorer peripheral and central hearing were associated with poorer cognitive flexibility and inhibitory control. Our findings suggest slower and more inefficient inhibitory control in the mild ARHL group relative to the NH group and add to decades of research on the association between hearing and cognition.
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- 2021
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17. Footprint of green synthesizing ingredients on the environment and pharmaceuticals
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Fatima, T., Tauseef, I., Haleem, K. S., Naeem, M., Ul-Islam, S., Khan, M. S., Ul-Islam, M., and Subhan, F.
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- 2024
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18. Neural Alterations in Acquired Age-Related Hearing Loss
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Raksha Anand Mudar and Fatima T Husain
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Aging ,Dementia ,Hearing Loss ,DTI ,EEG ,fMRI ,Psychology ,BF1-990 - Abstract
Hearing loss is one of the most prevalent chronic health conditions in older adults. Growing evidence suggests that hearing loss is associated with reduced cognitive functioning and incident dementia. In this mini-review, we briefly examine literature on anatomical and functional alterations in the brains of adults with acquired age-associated hearing loss, which may underlie the cognitive consequences observed in this population, focusing on studies that have used structural and functional magnetic resonance imaging, diffusion tensor imaging, and event-related electroencephalography. We discuss structural and functional alterations observed in the temporal and frontal cortices and the limbic system. These neural alterations are discussed in the context of common cause, information-degradation, and sensory-deprivation hypotheses, and we suggest possible rehabilitation strategies. Although we are beginning to learn more about changes in neural architecture and functionality related to age-associated hearing loss, much work remains to be done. Understanding the neural alterations will provide objective markers for early identification of neural consequences of age-associated hearing loss and for evaluating benefits of intervention approaches.
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- 2016
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19. A Cross-Sectional Study of the Prevalence of Metabolic Syndrome among Young Female Emirati Adults.
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Ayesha S Al Dhaheri, Maysm N Mohamad, Amjad H Jarrar, Eric O Ohuma, Leila Cheikh Ismail, Fatima T Al Meqbaali, Usama Souka, and Syed M Shah
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Medicine ,Science - Abstract
INTRODUCTION:Metabolic syndrome (MetS) is a growing problem in the United Arab Emirates (UAE). Moreover, the prevalence of overweight and obesity is rapidly increasing in the UAE especially among young females. However, few studies have evaluated the prevalence of MetS among young female adults in the UAE. This study determined the prevalence of MetS in Emirati females aged 17-25 years and its relation to overweight and obesity. METHODS:In total, 555 Emirati female college students were enrolled in a cross-sectional study, conducted during 2013-2014 at United Arab Emirates University in Al Ain, UAE. Anthropometric measurements, blood pressure and biochemical measurements were collected. MetS was defined according to the harmonised International Diabetes Federation criteria. RESULTS:Of the 555 participants enrolled, 23.1% were overweight and 10.4% were classified as obese. The overall prevalence of MetS was 6.8%. MetS prevalence was highest among obese participants (34.5%), as compared with normal-weight (1.7%) and overweight (10.1%) participants. MetS was significantly associated with overweight (adjusted odds ratio [aOR] = 3.8, 95% confidence interval [CI]; 1.15-12.52) and obesity (aOR = 11.2, 95% CI; 3.1-40.9), as compared with normal-weight. Waist-hip ratio ≥ 0.8 (aOR = 3.04, 95% CI; 1.10-8.44) was significantly associated with MetS, as compared with waist-hip ratio
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- 2016
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20. Review and Perspective on Brain Bases of Tinnitus
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Husain, Fatima T. and Khan, Rafay A.
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- 2023
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21. Neural Plasticity of Mild Tinnitus: An fMRI Investigation Comparing Those Recently Diagnosed with Tinnitus to Those That Had Tinnitus for a Long Period of Time
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Jake R. Carpenter-Thompson, Sara A. Schmidt, and Fatima T. Husain
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Objectives. The aim of the study was to compare differences in neural correlates of tinnitus in adults with recent onset and others who had the disorder for longer than a year. Design. A total of 25 individuals with tinnitus were divided into groups based on the amount of time for which they had experienced tinnitus: 1 year (LTIN). Subjects underwent an fMRI scan while listening to affective sounds from the International Affective Digital Sounds database. Resting state functional connectivity data were also collected. Results. The RTIN group recruited the posterior cingulate and insula to a greater extent than the LTIN group when processing affective sounds. In addition, we found that the LTIN group engaged more frontal regions when listening to the stimuli compared to the RTIN group. Lastly, we found increased correlations between the default mode network and the precuneus in RTIN patients compared to LTIN at rest. Conclusion. Our results suggest that the posterior cingulate and insula may be associated with an early emotional reaction to tinnitus in both task and resting states. Over time, tinnitus patients may recruit more frontal regions to better control their emotional response and exhibit altered connectivity in the default mode network.
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- 2015
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22. Increased Frontal Response May Underlie Decreased Tinnitus Severity.
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Jake R Carpenter-Thompson, Sara Schmidt, Edward McAuley, and Fatima T Husain
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Medicine ,Science - Abstract
OBJECTIVES:The overall goal of the study was to identify functional and behavioral differences between individuals with higher tinnitus distress and individuals with lower tinnitus distress. Subsequent exploratory analyses were conducted to investigate the role physical activity may have on the observed results between high and low distress groups. The purpose of the experiment was to identify brain regions to be targeted in future intervention studies for tinnitus. DESIGN:A total of 32 individuals with varying levels of tinnitus severity were recruited from the Urbana-Champaign area. Volunteers were divided into higher tinnitus distress (HD) and lower tinnitus distress (LD) groups. Note that these groups also significantly differed based on physical activity level and were subsequently stratified into higher and lower physical activity level subgroups for exploratory analysis. While in a functional magnetic resonance imaging (fMRI) scanner, subjects listened to affective sounds classified as pleasant, neutral or unpleasant from the International Affective Digital Sounds database. RESULTS:The HD group recruited amygdala and parahippocampus to a greater extent than the LD group when listening to affective sounds. The LD group engaged frontal regions to a greater extent when listening to the affective stimuli compared to the HD group. Both higher physical activity level subgroups recruited more frontal regions, and both lower levels of physical activity subgroups recruited more limbic regions respectively. CONCLUSION:Individuals with lower tinnitus distress may utilize frontal regions to better control their emotional response to affective sounds. Our analysis also suggests physical activity may contribute to lower tinnitus severity and greater engagement of the frontal cortices. We suggest that future intervention studies focus on changes in the function of limbic and frontal regions when evaluating the efficacy of treatment. Additionally, we recommend further investigation concerning the impact of physical activity level on tinnitus distress.
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- 2015
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23. 33.6 A Millimetric Batteryless Biosensing and Stimulating Implant with Magnetoelectric Power Transfer and 0.9pJ/b PWM Backscatter.
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Zhanghao Yu, Huan-Cheng Liao, Fatima T. Alrashdan, Ziyuan Wen, Yiwei Zou, Joshua Woods, Wei Wang, Jacob T. Robinson, and Kaiyuan Yang 0001
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- 2024
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24. The effect of mild-to-moderate hearing loss on auditory and emotion processing networks
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Fatima T Husain, Jake R Carpenter-Thompson, and Sara A Schmidt
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Hearing Loss ,emotion ,fMRI ,functional connectivity ,Resting-state fMRI ,IADS ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
We investigated the impact of hearing loss on emotional processing using task- and rest-based functional magnetic resonance imaging. Two age-matched groups of middle-aged participants were recruited: one with bilateral high-frequency hearing loss (HL) and a control group with normal hearing (NH). During the task-based portion of the experiment, participants were instructed to rate affective stimuli from the International Affective Digital Sounds database as pleasant, unpleasant, or neutral. In the resting state experiment, participants were told to fixate on a '+' sign on a screen for five minutes. The results of both the task-based and resting state studies suggest that NH and HL patients differ in their emotional response. Specifically, in the task-based study, we found slower response to affective but not neutral sounds by the HL group compared to the NH group. This was reflected in the brain activation patterns, with the NH group employing the expected limbic and auditory regions including the left amygdala, left parahippocampus, right middle temporal gyrus and left superior temporal gyrus to a greater extent in processing affective stimuli when compared to the HL group. In the resting state study, we observed no significant differences in connectivity of the auditory network between the groups. In the dorsal attention network, HL patients exhibited decreased connectivity between seed regions and left insula and left postcentral gyrus compared to controls. The default mode network was also altered, showing increased connectivity between seeds and left middle frontal gyrus in the HL group. Further targeted analysis revealed increased intrinsic connectivity between the right middle temporal gyrus and the right precentral gyrus. The results from both studies suggest neuronal reorganization as a consequence of hearing loss, most notably in networks responding to emotional sounds.
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- 2014
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25. Gray matter volumetric changes in tinnitus: The impact of hearing loss and severity
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Kim, Gibbeum, Khan, Rafay A., Tai, Yihsin, Shahsavarani, Somayeh, and Husain, Fatima T.
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- 2025
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26. Default mode, dorsal attention and auditory resting state networks exhibit differential functional connectivity in tinnitus and hearing loss.
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Sara A Schmidt, Kwaku Akrofi, Jake R Carpenter-Thompson, and Fatima T Husain
- Subjects
Medicine ,Science - Abstract
We investigated auditory, dorsal attention, and default mode networks in adults with tinnitus and hearing loss in a resting state functional connectivity study. Data were obtained using continuous functional magnetic resonance imaging (fMRI) while the participants were at "rest" and were not performing any task. Participants belonged to one of three groups: middle-aged adults with tinnitus and mild-to-moderate high frequency hearing loss (TIN), age-matched controls with normal hearing and no tinnitus (NH), and a second control group with mild-to-moderate high frequency hearing loss without tinnitus (HL). After standard preprocessing, (a) a group independent component analysis (ICA) using 30 components and (b) a seeding-based connectivity analysis were conducted. In the group ICA, the default mode network was the only network to display visual differences between subject groups. In the seeding analysis, we found increased connectivity between the left parahippocampus and the auditory resting state network in the TIN group when compared to NH controls. Similarly, there was also an increased correlation between the right parahippocampus and the dorsal attention network when compared to HL controls. Other group differences in this attention network included decreased correlations between the seed regions and the right supramarginal gyrus in TIN patients when compared to HL controls. In the default mode network, there was a strong decrease in correlation between the seed regions and the precuneus when compared to both control groups. The findings of this study identify specific alterations in the connectivity of the default mode, dorsal attention, and auditory resting state networks due to tinnitus. The results suggest that therapies for tinnitus that mitigate the increased connectivity of limbic regions with auditory and attention resting state networks and the decreased coherence of the default mode network could be effective at reducing tinnitus-related distress.
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- 2013
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27. Magnetoelectric Bio-Implants Powered and Programmed by a Single Transmitter for Coordinated Multisite Stimulation
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Yu, Zhanghao, Chen, Joshua C., He, Yan, Alrashdan, Fatima T., Avants, Benjamin W., Singer, Amanda, Robinson, Jacob T., and Yang, Kaiyuan
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Electrical Engineering and Systems Science - Signal Processing ,Quantitative Biology - Neurons and Cognition - Abstract
This article presents a hardware platform including stimulating implants wirelessly powered and controlled by a shared transmitter (TX) for coordinated leadless multisite stimulation. The adopted novel single-TX, multiple-implant structure can flexibly deploy stimuli, improve system efficiency, easily scale stimulating channel quantity, and relieve efforts in device synchronization. In the proposed system, a wireless link leveraging magnetoelectric (ME) effect is co-designed with a robust and efficient system-on-chip (SoC) to enable reliable operation and individual programming of every implant. Each implant integrates a 0.8-mm2 chip, a 6-mm2 ME film, and an energy storage capacitor within a 6.2-mm3 size. ME power transfer is capable of safely transmitting milliwatt power to devices placed several centimeters away from the TX coil, maintaining good efficiency with size constraints, and tolerating 60 degree, 1.5-cm misalignment in angular and lateral movement. The SoC robustly operates with 2-V source amplitude variations that spans a 40-mm TX-implant distance change, realizes individual addressability through physical unclonable function (PUF) IDs, and achieves 90% efficiency for 1.5-3.5-V stimulation with fully programmable stimulation parameters., Comment: This paper has been published in IEEE Journal of Solid-State Circuits, 2021
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- 2021
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28. Task-specific modulation of human auditory evoked responses in a delayed-match-to-sample task
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Feng eRong, Tom eHolroyd, Fatima T. Husain, Jose eContreras-Vidal, and Barry eHorwitz
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MEG ,auditory evoked response ,Cognitive modulation ,functional interaction ,task specificity ,Psychology ,BF1-990 - Abstract
In this study, we focus our investigation on task-specific cognitive modulation of early cortical auditory processing in human cerebral cortex. During the experiments, we acquired whole-head magnetoencephalography (MEG) data while participants were performing an auditory delayed-match-to-sample (DMS) task and associated control tasks. Using a spatial filtering beamformer technique to simultaneously estimate multiple source activities inside the human brain, we observed a significant DMS-specific suppression of the auditory evoked response to the second stimulus in a sound pair, with the center of the effect being located in the vicinity of the left auditory cortex. For the right auditory cortex, a non-invariant suppression effect was observed in both DMS and control tasks. Furthermore, analysis of coherence revealed a beta band (12 ~ 20 Hz) DMS-specific enhanced functional interaction between the sources in left auditory cortex and those in left inferior frontal gyrus, which has been shown to involve in short-term memory processing during the delay period of DMS task. Our findings support the view that early evoked cortical responses to incoming acoustic stimuli can be modulated by task-specific cognitive functions by means of frontal-temporal functional interactions.
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- 2011
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29. Discrimination task reveals differences in neural bases of tinnitus and hearing impairment.
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Fatima T Husain, Nathan M Pajor, Jason F Smith, H Jeff Kim, Susan Rudy, Christopher Zalewski, Carmen Brewer, and Barry Horwitz
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Medicine ,Science - Abstract
We investigated auditory perception and cognitive processing in individuals with chronic tinnitus or hearing loss using functional magnetic resonance imaging (fMRI). Our participants belonged to one of three groups: bilateral hearing loss and tinnitus (TIN), bilateral hearing loss without tinnitus (HL), and normal hearing without tinnitus (NH). We employed pure tones and frequency-modulated sweeps as stimuli in two tasks: passive listening and active discrimination. All subjects had normal hearing through 2 kHz and all stimuli were low-pass filtered at 2 kHz so that all participants could hear them equally well. Performance was similar among all three groups for the discrimination task. In all participants, a distributed set of brain regions including the primary and non-primary auditory cortices showed greater response for both tasks compared to rest. Comparing the groups directly, we found decreased activation in the parietal and frontal lobes in the participants with tinnitus compared to the HL group and decreased response in the frontal lobes relative to the NH group. Additionally, the HL subjects exhibited increased response in the anterior cingulate relative to the NH group. Our results suggest that a differential engagement of a putative auditory attention and short-term memory network, comprising regions in the frontal, parietal and temporal cortices and the anterior cingulate, may represent a key difference in the neural bases of chronic tinnitus accompanied by hearing loss relative to hearing loss alone.
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- 2011
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30. MagNI: A Magnetoelectrically Powered and Controlled Wireless Neurostimulating Implant
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Yu, Zhanghao, Chen, Joshua C., Alrashdan, Fatima T., Avants, Benjamin W., He, Yan, Singer, Amanda, Robinson, Jacob T., and Yang, Kaiyuan
- Subjects
Quantitative Biology - Neurons and Cognition ,Electrical Engineering and Systems Science - Signal Processing - Abstract
This paper presents the first wireless and programmable neural stimulator leveraging magnetoelectric (ME) effects for power and data transfer. Thanks to low tissue absorption, low misalignment sensitivity and high power transfer efficiency, the ME effect enables safe delivery of high power levels (a few milliwatts) at low resonant frequencies (~250 kHz) to mm-sized implants deep inside the body (30-mm depth). The presented MagNI (Magnetoelectric Neural Implant) consists of a 1.5-mm$^2$ 180-nm CMOS chip, an in-house built 4x2 mm ME film, an energy storage capacitor, and on-board electrodes on a flexible polyimide substrate with a total volume of 8.2 mm$^3$ . The chip with a power consumption of 23.7 $\mu$W includes robust system control and data recovery mechanisms under source amplitude variations (1-V variation tolerance). The system delivers fully-programmable bi-phasic current-controlled stimulation with patterns covering 0.05-to-1.5-mA amplitude, 64-to-512-$\mu$s pulse width, and 0-to-200Hz repetition frequency for neurostimulation., Comment: This work has been accepted to 2020 IEEE Transactions on Biomedical Circuits and Systems (TBioCAS)
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- 2021
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31. An Inverse Relationship Between Gray Matter Volume and Speech-in-Noise Performance in Tinnitus Patients with Normal Hearing Sensitivity
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Tai, Yihsin, Shahsavarani, Somayeh, Khan, Rafay A., Schmidt, Sara A., and Husain, Fatima T.
- Published
- 2023
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32. An Opportunity for Constructing the Future of Data Sharing in Otolaryngology
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Eckert, Mark A., Husain, Fatima T., M.P. Jayakody, Dona, Schlee, Winfried, and Cederroth, Christopher R.
- Published
- 2023
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33. A paradigm shift from office to home-based blood pressure measurement approaches in kidney transplant recipients
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Tantisattamo, Ekamol, Ferrey, Antoney J., Reddy, Uttam G., Malik, Fatima T., Siu, Man Kit Michael, Ammary, Fawaz Al, and Lau, Wei Ling
- Published
- 2024
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34. Distance and Temperature Effects for the System of Chemisorbed Quantum Dot/Graphene
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Hussein, Fatima T. and Fadel, Haider K.
- Published
- 2022
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35. A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic
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AL-Khawaldeh, Fatima T.
- Subjects
Computer Science - Computation and Language - Abstract
Recognizing the entailment relation showed that its influence to extract the semantic inferences in wide-ranging natural language processing domains (text summarization, question answering, etc.) and enhanced the results of their output. For Arabic language, few attempts concerns with Arabic entailment problem. This paper aims to increase the entailment accuracy for Arabic texts by resolving negation of the text-hypothesis pair and determining the polarity of the text-hypothesis pair whether it is Positive, Negative or Neutral. It is noticed that the absence of negation detection feature gives inaccurate results when detecting the entailment relation since the negation revers the truth. The negation words are considered stop words and removed from the text-hypothesis pair which may lead wrong entailment decision. Another case not solved previously, it is impossible that the positive text entails negative text and vice versa. In this paper, in order to classify the text-hypothesis pair polarity, a sentiment analysis tool is used. We show that analyzing the polarity of the text-hypothesis pair increases the entailment accuracy. to evaluate our approach we used a dataset for Arabic textual entailment (ArbTEDS) consisted of 618 text-hypothesis pairs and showed that the Arabic entailment accuracy is increased by resolving negation for entailment relation and analyzing the polarity of the text-hypothesis pair., Comment: 5 pages
- Published
- 2019
36. Answer Extraction for Why Arabic Questions Answering Systems: EWAQ
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AL-Khawaldeh, Fatima T.
- Subjects
Computer Science - Computation and Language ,Computer Science - Information Retrieval - Abstract
With the increasing amount of web information, questions answering systems becomes very important to allow users to access to direct answers for their requests. This paper presents an Arabic Questions Answering Systems based on entailment metrics. The type of questions which this paper focuses on is why questions. There are many reasons lead us to develop this system: generally, the lack of Arabic Questions Answering Systems and scarcity Arabic Questions Answering Systems which focus on why questions. The goal of the proposed system in this research is to extract answers from re-ranked retrieved passages which are retrieved by search engines. This system extracts the answer only to why questions. This system is called by EWAQ: Entailment based Why Arabic Questions Answering. Each answer is scored with entailment metrics and ranked according to their scores in order to determine the most possible correct answer. EWAQ is compared with search engines: yahoo, google and ask.com, the well-established web-based Questions Answering systems, using manual test set. In EWAQ experiments, it is showed that the accuracy is increased by implementing the textual entailment in re-raking the retrieved relevant passages by search engines and deciding the correct answer. The obtained results show that using entailment based similarity can help significantly to tackle the why Answer Extraction module in Arabic language., Comment: 5 pages
- Published
- 2019
37. Magnetoelectric backscatter communication for millimeter-sized wireless biomedical implants.
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Zhanghao Yu, Fatima T. Alrashdan, Wei Wang, Matthew Parker, Xinyu Chen, Frank Y. Chen, Joshua E. Woods, Zhiyu Chen 0003, Jacob T. Robinson, and Kaiyuan Yang 0001
- Published
- 2022
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38. Filipino nursing students’ use of low-cost simulators during the COVID-19 pandemic: A summative content analysis of YouTube videos
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Berdida, Daniel Joseph E., Elero, Francesca Salma L., Donato, Marian Fatima T., Dungo, Ma. Katharine S., Dunque, Niña Isabelle O., Dy, Kathrine Jan E., Elarmo, Robbie Alyssa Grace F., Espineli, Jacqueline Mary B., and Espineli, Verci Jou G.
- Published
- 2023
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39. AB0758 CIRCULATING ADIPOKINES AND RESPONSE TO TREATMENT IN EARLY RHEUMATOID ARTHRITIS – DATA FROM THE RANDOMIZED NORD-STAR TRIAL
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Vasileiadis, G. K., primary, Zhang, Y., additional, Fatima, T., additional, Van Vollenhoven, R. F., additional, Lampa, J., additional, Gudbjornsson, B., additional, Nordström, D., additional, Grondal, G., additional, Hørslev-Petersen, K., additional, Lend, K., additional, Heiberg, M. S., additional, Lund Hetland, M., additional, Nurmohamed, M., additional, Uhlig, T., additional, Sokka-Isler, T., additional, Rudin, A., additional, and Maglio, C., additional
- Published
- 2024
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40. A study of [formula omitted]-projective QTAG-modules
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Begam, F., Sikander, F., and Fatima, T.
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- 2022
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41. Inhibitory control and value-directed strategic attention in persons with mild age-related hearing loss
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Shende, Shraddha A., Lydon, Elizabeth A., Husain, Fatima T., and Mudar, Raksha A.
- Published
- 2022
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42. Technological innovations for environmental protection: role of intellectual property rights in the carbon mitigation efforts. Evidence from western and southern Europe
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Khurshid, A., Rauf, A., Calin, A. Cantemir, Qayyum, S., Mian, A. Hussain, Qayyum, S., and Fatima, T.
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- 2022
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43. A Novel Model for Enhancing Fact-Checking.
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Fatima T. AL-Khawaldeh, Tommy Yuan, and Dimitar Kazakov
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- 2021
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44. A Novel Model for Enhancing Fact-Checking
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AlKhawaldeh, Fatima T., Yuan, Tommy, Kazakov, Dimitar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor
- Published
- 2021
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45. Comprehensive Characterization of Hearing Loss and Tinnitus in Military-Affiliated and Non–Military-Affiliated Individuals
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Jain, Namitha, primary, Tai, Yihsin, additional, Wilson, Caterina, additional, Granato, Elsa C., additional, Esquivel, Carlos, additional, Tsao, Anthony, additional, and Husain, Fatima T., additional
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- 2024
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46. Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey
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Shalaby, M, Elsheikh, A, Hamed, H, Null, N, Elsheik, A, Sakr, A, Fouad, A, Kassem, A, Elfeki, H, Madbouly, K, Alzahrani, K, Marzouk, K, Ali, M, Helal, M, Elsorogy, M, Farid, M, Di Lorenzo, N, Sileri, P, Wexner, S, Khafagy, W, Adeyeye, A, El-Hussuna, A, Frontali, A, Saklani, A, Lelpo, B, Molena, D, Pandey, D, Karbovnichaya, E, Pata, F, Van Ramshor, G, Gallo, G, Spolverato, G, Pellino, G, Bagaglini, G, Rubio-Perez, I, Negoi, I, Frigerio, I, Juloski, J, Ninkovic, M, Franceschilli, M, Azer, M, Efetov, S, Ippoliti, S, Garoufalia, Z, Fazli, M, Dogjani, A, Cherfa, H, Omar, T, Minoldo, J, Alvarez Gallesio, J, Quesada, M, Bacher, A, Kropshofer, S, Ponholzer, F, Tesik, P, Gehwolf, P, Isci, S, Uranitsch, S, Berchtold, V, Samadov, E, Abualsel, A, Mitul, A, Islam, S, Vanlander, A, Van Praet, C, Van Daele, E, Vanommeslaeghe, H, Stijns, J, Abosi-Appeadu, K, Depuydt, M, Allaeys, M, Yves, V, Colleoni, R, Slavchev, M, Elbahrawy, A, Luc, J, Milford, K, Romic, I, Monti, A, Haydal, A, Klein, M, Ocklind, M, Hadi, S, Alqasaby, A, Elganash, A, Daibes, A, Elsaied, A, Elhattab, A, Lotfy, A, Alnashar, A, Elnour, A, Abdelhalim, A, Abdelhamid, A, Abdellatif, A, Abdelmohsen, A, Abdelrafee, A, Elhawary, A, Zidan, A, Eleshra, A, Elkafoury, A, Ezz, A, Abdelmomen, A, Elkased, A, Fawzy, A, Elkhouly, A, Hemidan, A, Abbas, A, Ismail, A, Attia, A, Farid, A, Elnakash, A, Negida, A, Soliman, A, Taki-Eldin, A, Albadry, A, Sanad, A, Elbatal, A, Elgazar, A, Saleh, A, Fahiem, A, Mohamed, A, Nageeb, A, Elmetwally, A, Alkhalegy, A, El-Wakeel, A, Shemes, A, Fadel, B, Lutfi, B, Ali, D, Abolnasr, K, Gamal, E, Abdallah, E, Ahmed, E, Salem, E, Hamed, E, Elshikh, E, Enad, F, Sarhan, F, Abouelnagah, G, Tagg, G, Atef, G, Shaker, G, Beshir, H, Zakaria, H, Barbary, H, Elgendy, H, Sharaf, H, Elnaghi, H, Elghadban, H, Elzayat, I, Fakhr, I, Sallam, I, Abdelmoneim, I, Elnemr, I, Zewar, K, Elalfy, K, Sabet, K, Mansour, K, Osman, K, Elgaly, M, Shams, M, Abozeid, M, Mohammed, M, Elkatt, M, Samaha, M, Mikhael, M, Khalil, M, Alhendawey, M, Elrefai, M, Gabr, M, Fayed, M, Abdelmaksoud, M, Salem, M, Mohamed Mohamed, M, Nabeeh, M, Elsayed, M, Abdelmonem, M, Eldemery, M, Elmesery, M, Fikry, M, Gharbia, M, Omar, M, Elmoghazy, M, Ghazala, M, Hamed, M, Metwally, M, Arnouse, M, Amen, M, Amary, M, Kandel, M, Abuzeid, M, Rabea, M, Sobh, M, Taman, M, Fathy, M, Moustafa, M, Zuhdy, M, Adel, M, Alaa, M, Alawady, M, Edassy, M, Eldesouki, M, Salim, M, Sanad, M, Khalaf, M, Henes, M, Abdelglil, M, Mohmmed, M, Abdelkhalik, M, Shetiwy, M, Elshazli, M, Hegazy, M, Ahmed, M, Abdelhalim, M, Shahein, M, Sofan, M, Hammad, M, Ahmad, M, Milad, N, Farouk, N, Eldesouky, O, Mohamed, O, Mahadel, O, Gaarour, O, Torky, R, Elhafez, R, Adly, R, Nageeb, R, Hamdi, S, Gamal, S, Emile, S, Regal, S, Abdelrasheed, S, Elzeftawy, S, Khashshan, S, Ashraf, T, Khafagy, T, Nabil, T, Abdelazim, T, Rizk, T, Amr, W, Yousef, Y, Youssef, Y, Castaldi, A, Fiore, A, Hasani, A, Mariani, A, Dagorno, C, Antonio, D, Izzo, G, Addari, G, Mangiameli, G, Rea, L, Pio, L, Paci, M, Andrea, P, De Fatico, G, Elvira, T, Schuldes, A, Rihan, E, Moeslein, G, Lederhuber, H, Botros, I, Jaman, I, Doerner, J, Elseberbihy, J, Sherbiny, K, Ghonim, M, Mikrish, A, Aziz, M, Hatm, M, Archid, R, Gendy, S, Ahmad, S, Charalabopoulos, A, Prodromidou, A, Ioannidis, A, Mpaili, E, Boukorou, G, Papadopoulos, G, Liakakos, T, Styliani, V, Agrawal, A, Jain, A, Rashid, A, Mehraj, A, Brahmachari, S, Lakshmi, H, Vishwakarma, K, Parida, L, Sharma, M, Zaieem, M, Makasarwala, M, Nittala, R, Kumar, S, Vikrantmr, S, Junaid, S, Khuller, S, More, V, Ahmed, A, Alomieri, A, Alhamdany, A, Del, M, Najm, G, Lateef, N, Mcnamara, D, Abdelmageed, M, Majeed, M, Troci, A, Porcu, A, Marano, A, Di Bartolomeo, A, Giani, A, Giardino, A, Canfora, A, Balla, A, Barberis, A, Belli, A, Borasi, A, Manetti, A, Mingoli, A, Morini, A, Maurizi, A, Marra, A, Epifani, A, Iossa, A, Parello, A, Guida, A, Maffioli, A, Scafa, A, Spinelli, A, Matarangolo, A, Picciariello, A, Pirozzi, B, Cirillo, B, Gazia, C, Ratto, C, Foppa, C, Marafante, C, Andrea, C, Tanda, C, Guerci, C, Don, C, Zigiotto, D, Coniglio, D, Sasia, D, Visconti, D, Altomare, D, Guaitoli, E, Botteri, E, Pinotti, E, Martinelli, F, Uggeri, F, Bàmbina, F, Falaschi, F, Costanzo, F, La Torre, F, Milana, F, Abbatini, F, De Lucia, F, Tropeano, F, Colombo, F, Ferrara, F, Litta, F, Carrano, F, Orlando, F, Roscio, F, Selvaggi, F, Giarratano, G, Pagano, G, Lisi, G, Argenio, G, Zancana, G, Cavallaro, G, Frazzetta, G, Mariateresa, G, Sciaudone, G, Vella, I, Siragusa, L, Santurro, L, Ferri, L, Petagna, L, Ferrario, L, Pitoni, L, Pignatelli, M, Angrisani, M, Giugliano, M, Inama, M, Marino, M, Veltri, M, Giuffrida, M, Menna, M, Valente, M, Rottoli, M, Sacchi, M, Uccelli, M, Rho, M, Garino, M, Montuori, M, Campanelli, M, Zese, M, De Falco, N, Cillara, N, Mariani, N, Tamini, N, Adorisio, O, Campennì, P, Venturelli, P, Bernante, P, Sapienza, P, Cianci, P, Marsanic, P, Lapolla, P, Tecchio, P, Familiari, P, Fransvea, P, Bruzzaniti, P, Hassan, R, Pirovano, 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Ninkovic, Marijana, Franceschilli, Marzia, Azer, Mina, Efetov, Sergey, Ippoliti, Simona, Garoufalia, Zoe, Fazli, Mohammad Rafi, Dogjani, Agron, Cherfa, Harieche Abdennour Abderahim, Omar, Tilioua, Minoldo, Javier, Alvarez Gallesio, José Maria, Quesada, Matias, Bacher, Annica, Kropshofer, Stephan, Ponholzer, Florian, Tesik, Philip, Gehwolf, Philipp, Isci, Sevim, Uranitsch, Stefan, Berchtold, Valeria, Samadov, Elgun, Abualsel, Abdulmenem, Mitul, Ashrarur Rahman, Islam, S. 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K., Hadi, Sabah Anwar, Alqasaby, Abdallah, Elganash, Abdelazim, Daibes, Adel Goda Hussein, Elsaied, Adham, Elhattab, Ahmad, Lotfy, Ahmad, Alnashar, Ahmed, Elnour, Ahmed Abd Elbaset Elsayed Abu, Abdelhalim, Ahmed, Abdelhamid, Ahmed, Abdellatif, Ahmed, Abdelmohsen, Ahmed, Abdelrafee, Ahmed, Elhawary, Ahmed Adel, Zidan, Ahmed Azmy, Eleshra, Ahmed, Elkafoury, Ahmed, Ezz, Ahmed, Abdelmomen, Ahmed Ezzat Elghrieb, Elkased, Ahmed Farag, Fawzy, Ahmed, Elkhouly, Ahmed G., Hemidan, Ahmed Gamal Abouelfetouh Ibrahim, Abbas, Ahmed Hosam Eldin Hasan, Ismail, Ahmed Mahmoud Ahmed, Attia, Ahmed Mohamed, Farid, Ahmed Mohammed, Elnakash, Ahmed Mostafa, Negida, Ahmed, Soliman, Ahmed, Taki-Eldin, Ahmed, Albadry, Ali Almahdy Ali, Sanad, Aly, Elbatal, Amira Alsayed Abdelhai, Elgazar, Amr, Saleh, Amr, Fahiem, Andrew, Mohamed, Anwar Yahya A., Nageeb, Ashraf, Elmetwally, Ashraf S., Alkhalegy, Ayman, El-Wakeel, Ayman, Shemes, Ayman, Fadel, Bashir A., Lutfi, Basma Waseem, Ali, Doaa, Abolnasr, Khaled Samir, Gamal, Ehab, Abdallah, Emad, Ahmed, Emad Ali, Salem, Eman Abdalla Mohamed, Hamed, Esmael Ali, Elshikh, Essam, Enad, Farazdaq, Sarhan, Fetoh Alaaeldin Fetoh, Abouelnagah, Galal, Tagg, Gamal Hassan El, Atef, Gehad, Shaker, George Samir Habib, Beshir, Hatem, Zakaria, Hazem M., Barbary, Hesham, Elgendy, Hesham, Sharaf, Hesham, Elnaghi, Hisham, Elghadban, Hosam, Elzayat, Ibrahim, Fakhr, Ibrahim, Sallam, Ibrahim, Abdelmoneim, Ibrahim Tharwat Mohamed, Elnemr, Islam, Zewar, Karem Shahin Mohamed, Elalfy, Khaled, Sabet, Khaled, Mansour, Khaled Yousery Ibrahim, Osman, Khalid Abdalla Abdelgadir, Elgaly, Maher Elesawi Kamel, Shams, Maher, Abozeid, Mahmoud, Mohammed, Mahmoud M., Elkatt, Mahmoud Mohamed, Samaha, Mahmoud Yahia, Mikhael, Marolla Maher Eskander, Khalil, Medhat M. 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A., Alhendawey, Moaaz, Elrefai, Mohamad, Gabr, Mohamed A., Fayed, Mohamed Abdelaziz Mohamed Abdalla M, Abdelmaksoud, Mohamed, Salem, Mohamed Abouelmagd, Mohamed Mohamed, Mohamed Adel, Nabeeh, Mohamed Adel, Elsayed, Mohamed Ahmed Abdelhalim Ahmed, Abdelmonem, Mohamed Ahmed, Ali, Mohamed Anwar Abdel Razik, Eldemery, Mohamed, Elmesery, Mohamed, Fikry, Mohamed, Gharbia, Mohamed, Omar, Mohamed I., Elmoghazy, Mohamed Ibrahim, Ghazala, Mohamed Jomma, Hamed, Mohamed Korayem Fattouh, Metwally, Mohamed, Arnouse, Mohamed Mohamed Hamdy, Amen, Mohamed Mohsen, Amary, Mohamed Mokhtar, Kandel, Mohamed Mosaad, Abuzeid, Mohamed Mostafa, Rabea, Mohamed, Sobh, Mohamed Ramadan, Taman, Mohamed, Fathy, Mohammad, Moustafa, Mohammad Montaser Hassan, Zuhdy, Mohammad, Adel, Mohammed, Alaa, Mohammed, Alawady, Mohammed, Edassy, Mohammed El, Mohammed, Mohammed Mustafa Hassan, Eldesouki, Mohammed Nabil, Salim, Mohammed Said Mahmoud, Sanad, Mohammed, Khalaf, Mohsen George, Henes, Mohsen Michael, Abdelglil, Momen, Mohmmed, Mona Mhmoud, Abdelkhalik, Morsi Mohamed Morsi, Shetiwy, Mosab, Elshazli, Mostafa, Hegazy, Mostafa, Ahmed, Mostafa Mahmoud, Abdelhalim, Mostafa Mohammed, Shahein, Mostafa, Sofan, Mostafa, Hammad, Muhammed Alaa Moukhtar, Ahmad, Mustafa, Milad, Nader, Farouk, Nehal, Eldesouky, Omnia, Mohamed, Omnia Y., Mahadel, Osama Abdel Salam, Gaarour, Osama, Torky, Radwan Abdelsabour, Elhafez, Raheem El-Gohary Abd, Adly, Ramy Magdy, Nageeb, Ramy Mikhael, Hamdi, Salah, Gamal, Sameh, Emile, Sameh Hany, Regal, Samer, Abdelrasheed, Sayed, Elzeftawy, Shady Ahmed, Khashshan, Sohib Mohammed Mohammed, Ashraf, Tamer, Khafagy, Tamer, Nabil, Tamer, Abdelazim, Tarek, Rizk, Tarek Taher, Amr, Wesam, Yousef, Yousef Mohamed, Youssef, Youssef Abdel Aziz, Castaldi, Antonio, Fiore, Antonio, Hasani, Ariola, Mariani, Aurora, Dagorno, Claire, Antonio, D'Alessandro, Izzo, Giuliano, Addari, Giulio, Mangiameli, Giuseppe, Rea, Lo Dico, Pio, Luca, Paci, Marco, Andrea, Police, De Fatico, GSerena, Elvira, Tartaglia, Schuldes, Alejandro Daniel Lira, Rihan, Eslam, Moeslein, Gabriela, Lederhuber, Hans, Botros, Ibram, Jaman, Ismail, Doerner, Johannes, Elseberbihy, John Rezk Hanna, Sherbiny, Kareem El, Ghonim, Mostafa, Mikrish, Amir, Aziz, Mina, Hatm, Mohamed, Archid, Rami, Gendy, Samuel Elkess Morcos, Ahmad, Sufian, Charalabopoulos, Alexandros, Prodromidou, Anastasia, Ioannidis, Argyrios, Mpaili, Eustratia, Boukorou, Garyfallia, Papadopoulos, Georgios, Liakakos, Theodore, Styliani, Vasileiadou, Agrawal, Abhishek, Jain, Amita, Rashid, Arshad, Mehraj, Asif, Brahmachari, Swagata, Lakshmi, Harish Neelamraju, Vishwakarma, Kushagra, Parida, Lalit, Sharma, Meenakshi, Zaieem, Mohammad, Makasarwala, Murtaza, Nittala, Rigved, Kumar, Sanjeev, Vikrantmr, Sharma, Junaid, Sheikh, Khuller, Somyaa, More, Vinal, Ahmed, Abeer Abdul Hameed, Alomieri, Adil, Alhamdany, Arkan Shubber, Del, Muslim Ka, Najm, Ghadah, Lateef, Nawras Falah, Mcnamara, Deborah, Abdelmageed, Mohammed Elkassaby, Majeed, Mudassar, Troci, Albert, Porcu, Alberto, Marano, Alessandra, Di Bartolomeo, Alessandro, Giani, Alessandro, Giardino, Alessandro, Canfora, Alfonso, Balla, Andrea, Barberis, Andrea, Belli, Andrea, Borasi, Andrea, Manetti, Andrea, Mingoli, Andrea, Morini, Andrea, Maurizi, Angela, Marra, Angelo Alessandro, Epifani, Angelo Gabriele, Iossa, Angelo, Parello, Angelo, Guida, Anna, Maffioli, Anna, Scafa, Anthony Kevin, Spinelli, Antonino, Matarangolo, Antonio, Picciariello, Arcangelo, Pirozzi, Brunella, Cirillo, Bruno, Gazia, Carlo, Ratto, Carlo, Foppa, Caterina, Marafante, Chiara, Andrea, Chierici, Tanda, Cinzia, Guerci, Claudio, Don, Cristine, Zigiotto, Daniele, Coniglio, Denise, Sasia, Diego, Visconti, Diego, Altomare, Donato F., Guaitoli, Eleonora, Botteri, Emanuele, Pinotti, Enrico, Martinelli, Fabio, Uggeri, Fabio, Bàmbina, Fabrizio, Falaschi, Federica, Costanzo, Federico, La Torre, Filippo, Milana, Flavio, Abbatini, Francesca, De Lucia, Francesca, Tropeano, Francesca Paola, Colombo, Francesco, Ferrara, Francesco, Litta, Francesco, Carrano, Francesco Maria, Orlando, Francesco, Roscio, Francesco, Selvaggi, Francesco, Giarratano, Gabriella, Pagano, Gianluca, Lisi, Giorgio, Argenio, Giulio, Zancana, Giuseppa, Cavallaro, Giuseppe, Frazzetta, Giuseppe, Mariateresa, Grasso, Sciaudone, Guido, Vella, Ivan, Siragusa, Leandro, Santurro, Letizia, Ferri, Lorenzo, Petagna, Lorenzo, Ferrario, Luca, Pitoni, Ludovica, Pignatelli, Marcello Filograna, Angrisani, Marco, Giugliano, Marco, Inama, Marco, Marino, Marco V., Veltri, Marco, Giuffrida, Maria Carmela, Menna, Maria Paola, Valente, Marina, Rottoli, Matteo, Sacchi, Matteo, Uccelli, Matteo, Rho, Maurizio, Garino, Mauro, Montuori, Mauro, Campanelli, Michela, Zese, Monica, De Falco, Nadia, Cillara, Nicola, Mariani, Nicolò Maria, Tamini, Nicolò, Adorisio, Ottavio, Campennì, Paola, Venturelli, Paolina, Bernante, Paolo, Sapienza, Paolo, Cianci, Pasquale, Marsanic, Patrizia, Lapolla, Pierfrancesco, Tecchio, Piero, Familiari, Pietro, Fransvea, Pietro, Bruzzaniti, Placido, Hassan, Redan, Pirovano, Riccardo, Rimonda, Roberto, Di Saverio, Salomone, Di Carlo, Sara, Perra, Teresa, Campagnaro, Tommaso, Testa, Valentina, Andriola, Valeria, Grappelli, Virgilio Michael Ambrosi, Capizzi, Vita, Chiarella, Vito, Bellato, Vittoria, Yanaga, Katsuhiko, Farouk, Mohamed, Uraiqat, Ahmad, Almasri, Mahmoud, Nabwana, Ambrose, Siboe, Mark M. W., W, Njoroge P., Njoroge, Githu, Ilkul, Jh., Obure, Ralph Ombati, Palkhi, Yusuf, Alkhayat, Ali, Ali, Ali Sayed, Malek, Amgad Nashaat Abdel, Abdelsayed, Emad Fahim, Zahra, Tarek, Ayoub, Larissa, Sleilati, Fadi, Aoun, Rany, Algatanesh, Nassib, Fieturi, Nura Ahmed, Ng, Jen Siang, Díaz, Andrés Vega, Duran, Erik Efrain Sosa, Guerrero, José Eaazim Flores, Jasso, Manuel Meza, Flores, Manuel SSalas, Felix, Marcos José Serrato, Angulo, Victor Manuel Pinto, Mejdane, Abdelhadi, Aitali, Abdelmounaim, Amal, Benzakour, Zentar, Aziz, Bensaad, Ahmed, Yacir, El Alami, Jawad, Fassi Fihri Mohamed, Rachid, Mohamed Ghassane, Maliki-Alaoui, Mohamed, Ouadii, Mouaqit, Mohammed, Ouazni, Thein, Nyan, Koirala, Dinesh Prasad, Hilling, Denise, Pouwels, Sjaak, Okunlola, Abiodun Idowu, Adejumo, Adeyinka, Akinmade, Akinola, Shittu, Asimiyu Adekunle, Oluyomi, Ayodele Samuel, Abiodun, Azeez Lateef, Lawal, Bashir, Odion, Clement, Popoola, Ademola, Jolayemi, Edward, Shomoye, El-Zaki, Wuraola, Funmilola Olanike, Eke, Grace, Abiyere, Henry, Oluwasuyi, Ige, George, Ihediwa, Njokanma, Iloba Gabriel, Aremu, Isiaka, Dare, Julius Kolajo, Abdur-Rahman, Lukman, Ahmad, Misbahu Haruna, Oludara, Mobolaji Adewale, Mohammad, Mohammad Aminu, Adeoluwa, Ojajuni, Situ, Oladele, Agbonrofo, Peter, Kewulere, Raji Taofiq, Aliyu, Yakubu, Adebowale, Yusuf, Galala, Ahmed, Rao, Satish, Waleed, Aasma, Inam, Aatif, Shaikh, Abdul Razaque, Qureshi, Ahmad Uzair, Muhammad, Aneeqah Din, Ahmed, Arooj, Kerawala, Asad Ali, Aslam, Mohammad, Mehr, Asma, Javed, Ayesha, Ahmad, Farooq, Majid, Haroon Javaid, Ahmed, Hassan, Daudi, Irfan, Akhtar, Khalid, Niaz, Khurram, Anwer, Mariyah, Amir, Mohammed, Hanif, Muhammad Amir, Asif, Muhammad, Raza, Muhammad Asif, Khokhar, Muhammad Imran, Jameel, Muhammad Khurram, Nasir, Muhammad, Shafique, Muhammad Salman, Ateeb, Mujammad, Nadeem, Munawar, Shah, Rahmat Ullah, Waqar, Shahzad Hussain, Shah, Shahzad Alam, Waseem, Talat, Ghafoor, Tariq, Fatima, Tauseef, Bashir, Umar, Gonzales, Erick Ivan Huaman, Ruiz, Luis Angel Garcia, Freitas, Carla, De Sousa, Xavier, Al-Bahrani, Ahmed, Portela, Carlos Antonio Sanchez, Elgazar, Elsayed Aly, Robles, Eloy Morasen, Khan, Irfan Jan, Jarboa, Lutfi, Khawar, Mahwish, Echevarria, Miguel Jose Pinto, Bashah, Moataz M., Dawdi, Salahaldeen, Musthafa, Shameel, Ali, Syed Muhammad, Ciubotaru, Cezar, Bonci, Eduard-Alexandru, Muresan, Mihai-Stefan, Bogdan, Stoica, Ioan, Tanase, Zubayraeva, Albina, Derinov, Aleksandr, Zakharenko, Alexander, Novikova, Anastasia, Bashlachev, Andrey, Kaldarov, Ayrat, Stanislav, Berelavichus, Gorin, David, Puzenko, Dmitriy, Kazachenko, Ekaterina, Ashimov, Erkin, Medkova, Iuliia, Ignatov, Ivan, Sergeevich, Kochetkov Viktor, Sidorova, Lyudmila, Kiselev, Michail, Danilov, Michail, Aleksandr, Ogoreltsev, Rodimov, Sergey, Garmanovs, Tatiana, Kitsenko, Yury, Valery, Nekoval, Japhet, Ntezamizero, Sibiany, Abdulrahman, Saadeldin, Abdelhalim, Abuosba, Abdelrahman, Alawadhi, Abdulbari Mohammed, Alharbi, Abdulhamid, Althumali, Abdullah, Alghuliga, Abdullah, Alotaibi, Abdullah, Abduraboh, Abdullah Fayez, Kateb, Abdullah, Sindy, Abdullah, Al Eisa, Abdulmohsen, Alotaibi, Abdulrahman, Almulhim, Abdulrhman, Aljawhari, Adel Ali, Abozeid, Ahmad Mahmoud, Saad, Ahmad, Alqarni, Ahmed, Alwan, Ahmed, Alwusaibie, Ahmed, Bafaraj, Ahmed, Eldeeb, Ahmed, Tarabay, Ahmed, Mohammed, Mahfoudh, Alhedaithy, Alhanouf, Almaghrabi, Alhassan Hesham, Abed, Ali Ibrahim Eldawy, Abdullah, Alqahtani Ali, Semilan, Anmar, Farag, Mohamed, Khudhayr, Essa, Hussain, Marwah, Abbas, Ghanem, Alqudaihi, Heba, Abualnaja, Yousra, Shaheen, Abelnasser, Mubarak, Ashraf Abdelazeem Mohamed, Ali, Bandar Idrees A., Alhazmi, Barrag, Hijazi, Bilal Ahmed, Abdulrahman, Chadi, Oyedepo, Charles Olajide, Alzamel, Heythem, Tairab, Elsanousi Ibrahim Sabir, Alsuwaimel, Munir A., Hejazi, Soha, Alnoqaidan, Emad, Alhussien, Fade Ahmed, Jallad, Fadi Sami, Khadwardi, Faisal, Alghamdi, Faisal Saleh, Haddad, Feras, Sauri, Fozan, Alafghani, Haitham, Alfalah, Haitham, Gad, Hamada, Aboelmagid, Hamdy Haggag Ebrahim, Ibrahim, Hamed, Elzayady, Hany M., Sharafeldin, Hatem Abdelrahman Ahmed, Sembawa, Hatem A., Alabbas, Haytham, Abbas, Hazem, Elgamal, Hesham, Alawfi, Homoud, Al-Sadery, Humood, Abdelmotaleb, Hussien Ali, Al Hassn, Ibrahim, Mudawi, Ishag M., Nekhala, Islam, Elsanhoury, Kareem, Said, Khalid Babieker, Albeshri, Khalid A., Albahooth, Khalid, Mohammed, Khalid Fathelrahman Bakier, Asar, Khalid Mohammad Ibrahim, Osman, Luqman, Alzamanan, Mahdi, Alnabarawi, Mahmoud, Althobaiti, Majid, Elsayed, Mohamed Abdelmoneim, Al Naeb, Mohamed, Hassan, Mohamed Salah Eldin, Abdelhamid, Mohamed Sayed, Alyami, Mohammad, Mirza, Mohammad Amin, Sayouh, Mohammad, Alkhayat, Mohammed Amer, Basendowah, Mohammed, Ghunaim, Mohammed, Alhussaini, Mohammed Khalid, Khoj, Mohammed, Sbaih, Mohammed, Saeed, Muhammad Ahmad, Ali, Muhammad Zulfiqar, Abdelaziz, Nabil Yassin Tammam, Malibary, Nadim, Abdo, Nael, Amer, Nasser Mohammed, Al Turki, Neamat Ahmed Ali, Durayb, Norah, Yassin, Nouf, Akeel, Nouf, Larbi, Noureddine, Alsallum, Ofays, Suliman, Omar AAbu, Elsherbiny, Osama, Abusalem, Osama, Albalawi, Ibrahim Altedlawi, Abutalib, Raid Abdullah, Alarabi, Rayan, Khan, Roaa Ghazi, Alazzam, Saleh, Alghamdi, Saleh, Alsawat, Salem, Salim, Sami, Alshukr, Sarah, Alzahrani, Saud, Golea, Smain, Alowairdhi, Tumadher, Salman, Usama, Abusiam, Wael, Abualkhair, Wael, Saber, Wael, Tashkandi, Wail, Alhazmi, Waleed, Tashkandi, Waleed, Yassine, Wassim Abou, Alshabi, Yaser Ahmad, Ibrahim, Yaser, Shahin, Yasser, Ibrahim, Yassin, Aljathlany, Yousef, Alnahas, Yousef, Alrashidi, Yousef, Wali, Zubair, Ndong, Abdourahmane, Ba, Mamadou, Faye, Papa Mamadou, Arbutina, Dragana, Milic, Ljiljana, Cuk, Vladica, Hussein, Abdinafic Mohamud, Mccaul, Jeannie, Bertels, Laurie, Pohl, Linda, Arnold, Marion, Mbatani, Nomonde, Oosthuizen, Pj, Rayamajhi, Shreya, Vosloo, Susan, Jooma, Uzair, Landaluce-Olavarria, Aitor, Vázquez-Melero, Alba, Marcos, Alberto, Puerto Puerto, Alejandro, De La Hermosa, Alicia Ruiz, Senent-Boza, Ana, Ugarte-Sierra, Bakarne, Montalbán, Beatriz Cros, Martin-Perez, Beatriz, Gomez, Caroina Gonzalez, Colás-Ruiz, Enrique, Santos, Esther Garcia, Senra, Fatima, Mora-Guzmán, Ismael, Dziakova, Jana, Díaz, Jeancarlos J. 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Shahid, Kazim, Shuiab, Gondal, Zafar, Sherif, Ahmed Elshawadfy, Ghanem, Ahmed, Helmy, Ahmed Hazem I., Ibrahim, Ahmed, Elshaer, Ahmed Mohammed, Marzouk, Ahmed Msm, Tamburrini, Alessandro Paolo, Parente, Alessandro, Light, Alexander, Diamantopoulou, Angela, Singh, Baljit, Gurung, Binay, Frauenfelder, Claire, Leo, Cosimo Alex, Raptis, Dimitri, Thakrar, Dixa, Madhuri, Thumuluru Kavitha, Tsounaki, Efthymia, Garreffa, Emanuele, Soggiu, Fiammetta, Stavrou, George, Ng, Hwei Jene, Tabasi, Hani, Nasef, Hazem, Kostakis, Ioannis D., Jeffery, James, Warusavitarne, Janindra, Lund, Jon, Qurashi, Kamran, Sahnan, Kapil, Tong, Kin Seng, Orecchia, Luca, Kaur, Mandeep, Zaidi, Mariam, Ganau, Mario, Hassan, Mohamed Ali Gad, Curtis, Nathan, Bhatt, Nikita, Machairas, Nikolaos, Zafar, Noman, Toma, Omar, Sarmah, Panchali, Bassuni, Majid, Davies, Justin, Shawer, Sami, Shawer, Sherif, Lewis, Sophia, Subramanian, Sivaraman, Ahmad, Suhaib, Nadeem, Uqba, Njau, Aidan, Tohamy, Aley Eldin, Pakula, Andrea M., Simioni, 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L, Arnold, M, Mbatani, N, Oosthuizen, P, Rayamajhi, S, Vosloo, S, Jooma, U, Landaluce-Olavarria, A, Vázquez-Melero, A, Marcos, A, Puerto Puerto, A, De La Hermosa, A, Senent-Boza, A, Ugarte-Sierra, B, Montalbán, B, Martin-Perez, B, Gomez, C, Colás-Ruiz, E, Santos, E, Senra, F, Mora-Guzmán, I, Dziakova, J, Díaz, J, Silva, J, Laina, J, Tallon-Aguilar, L, Di Martino, M, Chacón, M, Frasson, M, Calvo, M, Millan, M, Tejedoe, P, Pérez-Bertólez, S, Turrado-Rodríguez, V, Elsanosi, A, Abdalbakheet, D, Salim, O, Youssef, M, Barbon, C, Bouchrika, A, Maghrebi, H, Loukil, I, Yildiz, A, Dursun, A, Gulcu, B, Calik, B, Eral, B, Yeşilyurt, D, Yakar, F, Akin, F, Kilinc, G, Uslu, G, Tuncer, K, Koc, M, Leventoğlu, S, Sokmen, S, Atici, S, Kaya, T, Dere, Ü, Kırmızı, Y, Ssenono, K, Lule, H, Mbiine, R, Hamza, A, Peediyakkal, S, Varma, G, Mussa, H, Al-Masari, H, Shehata, M, Seiam, M, Nimir, N, Khare, R, Rashid, S, Kazim, S, Gondal, Z, Sherif, A, Ghanem, A, Helmy, A, Ibrahim, A, Elshaer, A, Marzouk, A, Tamburrini, A, Parente, A, Light, A, Diamantopoulou, A, Singh, B, Gurung, B, Frauenfelder, C, Leo, C, Raptis, D, Thakrar, D, Madhuri, T, Tsounaki, E, Garreffa, E, Soggiu, F, Stavrou, G, Ng, H, Tabasi, H, Nasef, H, Kostakis, I, Jeffery, J, Warusavitarne, J, Lund, J, Qurashi, K, Sahnan, K, Tong, K, Orecchia, L, Kaur, M, Zaidi, M, Ganau, M, Curtis, N, Bhatt, N, Machairas, N, Zafar, N, Toma, O, Sarmah, P, Bassuni, M, Davies, J, Shawer, S, Lewis, S, Subramanian, S, Nadeem, U, Njau, A, Tohamy, A, Pakula, A, Simioni, A, Jarvis, B, Skandalakis, G, Hesham, H, Isaiah, I, Villwock, J, Martin, L, Kress, M, Sebelik, M, Lathan, S, Towfigh, S, Holubar, S, Demeester, S, Alshehari, M, Ghabisha, S, Abdulatef, S, Al-Kubati, W, Obadiel, Y, Gots, A, Nakazwe, M, Chipaila, J, Mazingi, D, Shalaby, Mostafa, ElSheikh, Ahmed M., Hamed, Hosam, null, null, Elsheik, Ahmed, Sakr, Ahmad, Fouad, Amgad, Kassem, Amr, Elfeki, Hossam, Madbouly, Khaled, Alzahrani, Khalid H., Marzouk, Khalid, Ali, Mahmoud, Helal, Mohamed Alaa Abdelmoez, Elsorogy, Mohamed, Farid, Mohamed, Di Lorenzo, Nicola, Sileri, Pierpaolo, Wexner, Steven, Khafagy, Wael, Adeyeye, Ademola, El-Hussuna, Alaa, Frontali, Alice, Saklani, Avanish, Lelpo, Benedettao, Molena, Daniela, Pandey, Diwakar, Karbovnichaya, Elena, Pata, Francesco, Van Ramshor, Gabrielle H., Gallo, Gaetano, Spolverato, Gaya, Pellino, Gianluca, Bagaglini, Giulia, Rubio-Perez, Ines, Negoi, Ionut, Frigerio, Isabella, Juloski, Jovan, Ninkovic, Marijana, Franceschilli, Marzia, Azer, Mina, Efetov, Sergey, Ippoliti, Simona, Garoufalia, Zoe, Fazli, Mohammad Rafi, Dogjani, Agron, Cherfa, Harieche Abdennour Abderahim, Omar, Tilioua, Minoldo, Javier, Alvarez Gallesio, José Maria, Quesada, Matias, Bacher, Annica, Kropshofer, Stephan, Ponholzer, Florian, Tesik, Philip, Gehwolf, Philipp, Isci, Sevim, Uranitsch, Stefan, Berchtold, Valeria, Samadov, Elgun, Abualsel, Abdulmenem, Mitul, Ashrarur Rahman, Islam, S. M. Nazmul, Vanlander, Aude, Van Praet, Charles, Van Daele, Elke, Vanommeslaeghe, Hanne, Stijns, Jasper, Abosi-Appeadu, Kessewa, Depuydt, Martijn, Allaeys, Mathias, Yves, Van Nieuwenhove, Colleoni, Ramiro, Slavchev, Mihail, Elbahrawy, Aly, Luc, Jessica G. Y., Milford, Karen, Romic, Ivan, Monti, Alessio, Haydal, Ashraf, Klein, Mads Falk, Ocklind, Miranda E. K., Hadi, Sabah Anwar, Alqasaby, Abdallah, Elganash, Abdelazim, Daibes, Adel Goda Hussein, Elsaied, Adham, Elhattab, Ahmad, Lotfy, Ahmad, Alnashar, Ahmed, Elnour, Ahmed Abd Elbaset Elsayed Abu, Abdelhalim, Ahmed, Abdelhamid, Ahmed, Abdellatif, Ahmed, Abdelmohsen, Ahmed, Abdelrafee, Ahmed, Elhawary, Ahmed Adel, Zidan, Ahmed Azmy, Eleshra, Ahmed, Elkafoury, Ahmed, Ezz, Ahmed, Abdelmomen, Ahmed Ezzat Elghrieb, Elkased, Ahmed Farag, Fawzy, Ahmed, Elkhouly, Ahmed G., Hemidan, Ahmed Gamal Abouelfetouh Ibrahim, Abbas, Ahmed Hosam Eldin Hasan, Ismail, Ahmed Mahmoud Ahmed, Attia, Ahmed Mohamed, Farid, Ahmed Mohammed, Elnakash, Ahmed Mostafa, Negida, Ahmed, Soliman, Ahmed, Taki-Eldin, Ahmed, Albadry, Ali Almahdy Ali, Sanad, Aly, Elbatal, Amira Alsayed Abdelhai, Elgazar, Amr, Saleh, Amr, Fahiem, Andrew, Mohamed, Anwar Yahya A., Nageeb, Ashraf, Elmetwally, Ashraf S., Alkhalegy, Ayman, El-Wakeel, Ayman, Shemes, Ayman, Fadel, Bashir A., Lutfi, Basma Waseem, Ali, Doaa, Abolnasr, Khaled Samir, Gamal, Ehab, Abdallah, Emad, Ahmed, Emad Ali, Salem, Eman Abdalla Mohamed, Hamed, Esmael Ali, Elshikh, Essam, Enad, Farazdaq, Sarhan, Fetoh Alaaeldin Fetoh, Abouelnagah, Galal, Tagg, Gamal Hassan El, Atef, Gehad, Shaker, George Samir Habib, Beshir, Hatem, Zakaria, Hazem M., Barbary, Hesham, Elgendy, Hesham, Sharaf, Hesham, Elnaghi, Hisham, Elghadban, Hosam, Elzayat, Ibrahim, Fakhr, Ibrahim, Sallam, Ibrahim, Abdelmoneim, Ibrahim Tharwat Mohamed, Elnemr, Islam, Zewar, Karem Shahin Mohamed, Elalfy, Khaled, Sabet, Khaled, Mansour, Khaled Yousery Ibrahim, Osman, Khalid Abdalla Abdelgadir, Elgaly, Maher Elesawi Kamel, Shams, Maher, Abozeid, Mahmoud, Mohammed, Mahmoud M., Elkatt, Mahmoud Mohamed, Samaha, Mahmoud Yahia, Mikhael, Marolla Maher Eskander, Khalil, Medhat M. H. A., Alhendawey, Moaaz, Elrefai, Mohamad, Gabr, Mohamed A., Fayed, Mohamed Abdelaziz Mohamed Abdalla M, Abdelmaksoud, Mohamed, Salem, Mohamed Abouelmagd, Mohamed Mohamed, Mohamed Adel, Nabeeh, Mohamed Adel, Elsayed, Mohamed Ahmed Abdelhalim Ahmed, Abdelmonem, Mohamed Ahmed, Ali, Mohamed Anwar Abdel Razik, Eldemery, Mohamed, Elmesery, Mohamed, Fikry, Mohamed, Gharbia, Mohamed, Omar, Mohamed I., Elmoghazy, Mohamed Ibrahim, Ghazala, Mohamed Jomma, Hamed, Mohamed Korayem Fattouh, Metwally, Mohamed, Arnouse, Mohamed Mohamed Hamdy, Amen, Mohamed Mohsen, Amary, Mohamed Mokhtar, Kandel, Mohamed Mosaad, Abuzeid, Mohamed Mostafa, Rabea, Mohamed, Sobh, Mohamed Ramadan, Taman, Mohamed, Fathy, Mohammad, Moustafa, Mohammad Montaser Hassan, Zuhdy, Mohammad, Adel, Mohammed, Alaa, Mohammed, Alawady, Mohammed, Edassy, Mohammed El, Mohammed, Mohammed Mustafa Hassan, Eldesouki, Mohammed Nabil, Salim, Mohammed Said Mahmoud, Sanad, Mohammed, Khalaf, Mohsen George, Henes, Mohsen Michael, Abdelglil, Momen, Mohmmed, Mona Mhmoud, Abdelkhalik, Morsi Mohamed Morsi, Shetiwy, Mosab, Elshazli, Mostafa, Hegazy, Mostafa, Ahmed, Mostafa Mahmoud, Abdelhalim, Mostafa Mohammed, Shahein, Mostafa, Sofan, Mostafa, Hammad, Muhammed Alaa Moukhtar, Ahmad, Mustafa, Milad, Nader, Farouk, Nehal, Eldesouky, Omnia, Mohamed, Omnia Y., Mahadel, Osama Abdel Salam, Gaarour, Osama, Torky, Radwan Abdelsabour, Elhafez, Raheem El-Gohary Abd, Adly, Ramy Magdy, Nageeb, Ramy Mikhael, Hamdi, Salah, Gamal, Sameh, Emile, Sameh Hany, Regal, Samer, Abdelrasheed, Sayed, Elzeftawy, Shady Ahmed, Khashshan, Sohib Mohammed Mohammed, Ashraf, Tamer, Khafagy, Tamer, Nabil, Tamer, Abdelazim, Tarek, Rizk, Tarek Taher, Amr, Wesam, Yousef, Yousef Mohamed, Youssef, Youssef Abdel Aziz, Castaldi, Antonio, Fiore, Antonio, Hasani, Ariola, Mariani, Aurora, Dagorno, Claire, Antonio, D'Alessandro, Izzo, Giuliano, Addari, Giulio, Mangiameli, Giuseppe, Rea, Lo Dico, Pio, Luca, Paci, Marco, Andrea, Police, De Fatico, GSerena, Elvira, Tartaglia, Schuldes, Alejandro Daniel Lira, Rihan, Eslam, Moeslein, Gabriela, Lederhuber, Hans, Botros, Ibram, Jaman, Ismail, Doerner, Johannes, Elseberbihy, John Rezk Hanna, Sherbiny, Kareem El, Ghonim, Mostafa, Mikrish, Amir, Aziz, Mina, Hatm, Mohamed, Archid, Rami, Gendy, Samuel Elkess Morcos, Ahmad, Sufian, Charalabopoulos, Alexandros, Prodromidou, Anastasia, Ioannidis, Argyrios, Mpaili, Eustratia, Boukorou, Garyfallia, Papadopoulos, Georgios, Liakakos, Theodore, Styliani, Vasileiadou, Agrawal, Abhishek, Jain, Amita, Rashid, Arshad, Mehraj, Asif, Brahmachari, Swagata, Lakshmi, Harish Neelamraju, Vishwakarma, Kushagra, Parida, Lalit, Sharma, Meenakshi, Zaieem, Mohammad, Makasarwala, Murtaza, Nittala, Rigved, Kumar, Sanjeev, Vikrantmr, Sharma, Junaid, Sheikh, Khuller, Somyaa, More, Vinal, Ahmed, Abeer Abdul Hameed, Alomieri, Adil, Alhamdany, Arkan Shubber, Del, Muslim Ka, Najm, Ghadah, Lateef, Nawras Falah, Mcnamara, Deborah, Abdelmageed, Mohammed Elkassaby, Majeed, Mudassar, Troci, Albert, Porcu, Alberto, Marano, Alessandra, Di Bartolomeo, Alessandro, Giani, Alessandro, Giardino, Alessandro, Canfora, Alfonso, Balla, Andrea, Barberis, Andrea, Belli, Andrea, Borasi, Andrea, Manetti, Andrea, Mingoli, Andrea, Morini, Andrea, Maurizi, Angela, Marra, Angelo Alessandro, Epifani, Angelo Gabriele, Iossa, Angelo, Parello, Angelo, Guida, Anna, Maffioli, Anna, Scafa, Anthony Kevin, Spinelli, Antonino, Matarangolo, Antonio, Picciariello, Arcangelo, Pirozzi, Brunella, Cirillo, Bruno, Gazia, Carlo, Ratto, Carlo, Foppa, Caterina, Marafante, Chiara, Andrea, Chierici, Tanda, Cinzia, Guerci, Claudio, Don, Cristine, Zigiotto, Daniele, Coniglio, Denise, Sasia, Diego, Visconti, Diego, Altomare, Donato F., Guaitoli, Eleonora, Botteri, Emanuele, Pinotti, Enrico, Martinelli, Fabio, Uggeri, Fabio, Bàmbina, Fabrizio, Falaschi, Federica, Costanzo, Federico, La Torre, Filippo, Milana, Flavio, Abbatini, Francesca, De Lucia, Francesca, Tropeano, Francesca Paola, Colombo, Francesco, Ferrara, Francesco, Litta, Francesco, Carrano, Francesco Maria, Orlando, Francesco, Roscio, Francesco, Selvaggi, Francesco, Giarratano, Gabriella, Pagano, Gianluca, Lisi, Giorgio, Argenio, Giulio, Zancana, Giuseppa, Cavallaro, Giuseppe, Frazzetta, Giuseppe, Mariateresa, Grasso, Sciaudone, Guido, Vella, Ivan, Siragusa, Leandro, Santurro, Letizia, Ferri, Lorenzo, Petagna, Lorenzo, Ferrario, Luca, Pitoni, Ludovica, Pignatelli, Marcello Filograna, Angrisani, Marco, Giugliano, Marco, Inama, Marco, Marino, Marco V., Veltri, Marco, Giuffrida, Maria Carmela, Menna, Maria Paola, Valente, Marina, Rottoli, Matteo, Sacchi, Matteo, Uccelli, Matteo, Rho, Maurizio, Garino, Mauro, Montuori, Mauro, Campanelli, Michela, Zese, Monica, De Falco, Nadia, Cillara, Nicola, Mariani, Nicolò Maria, Tamini, Nicolò, Adorisio, Ottavio, Campennì, Paola, Venturelli, Paolina, Bernante, Paolo, Sapienza, Paolo, Cianci, Pasquale, Marsanic, Patrizia, Lapolla, Pierfrancesco, Tecchio, Piero, Familiari, Pietro, Fransvea, Pietro, Bruzzaniti, Placido, Hassan, Redan, Pirovano, Riccardo, Rimonda, Roberto, Di Saverio, Salomone, Di Carlo, Sara, Perra, Teresa, Campagnaro, Tommaso, Testa, Valentina, Andriola, Valeria, Grappelli, Virgilio Michael Ambrosi, Capizzi, Vita, Chiarella, Vito, Bellato, Vittoria, Yanaga, Katsuhiko, Farouk, Mohamed, Uraiqat, Ahmad, Almasri, Mahmoud, Nabwana, Ambrose, Siboe, Mark M. W., W, Njoroge P., Njoroge, Githu, Ilkul, Jh., Obure, Ralph Ombati, Palkhi, Yusuf, Alkhayat, Ali, Ali, Ali Sayed, Malek, Amgad Nashaat Abdel, Abdelsayed, Emad Fahim, Zahra, Tarek, Ayoub, Larissa, Sleilati, Fadi, Aoun, Rany, Algatanesh, Nassib, Fieturi, Nura Ahmed, Ng, Jen Siang, Díaz, Andrés Vega, Duran, Erik Efrain Sosa, Guerrero, José Eaazim Flores, Jasso, Manuel Meza, Flores, Manuel SSalas, Felix, Marcos José Serrato, Angulo, Victor Manuel Pinto, Mejdane, Abdelhadi, Aitali, Abdelmounaim, Amal, Benzakour, Zentar, Aziz, Bensaad, Ahmed, Yacir, El Alami, Jawad, Fassi Fihri Mohamed, Rachid, Mohamed Ghassane, Maliki-Alaoui, Mohamed, Ouadii, Mouaqit, Mohammed, Ouazni, Thein, Nyan, Koirala, Dinesh Prasad, Hilling, Denise, Pouwels, Sjaak, Okunlola, Abiodun Idowu, Adejumo, Adeyinka, Akinmade, Akinola, Shittu, Asimiyu Adekunle, Oluyomi, Ayodele Samuel, Abiodun, Azeez Lateef, Lawal, Bashir, Odion, Clement, Popoola, Ademola, Jolayemi, Edward, Shomoye, El-Zaki, Wuraola, Funmilola Olanike, Eke, Grace, Abiyere, Henry, Oluwasuyi, Ige, George, Ihediwa, Njokanma, Iloba Gabriel, Aremu, Isiaka, Dare, Julius Kolajo, Abdur-Rahman, Lukman, Ahmad, Misbahu Haruna, Oludara, Mobolaji Adewale, Mohammad, Mohammad Aminu, Adeoluwa, Ojajuni, Situ, Oladele, Agbonrofo, Peter, Kewulere, Raji Taofiq, Aliyu, Yakubu, Adebowale, Yusuf, Galala, Ahmed, Rao, Satish, Waleed, Aasma, Inam, Aatif, Shaikh, Abdul Razaque, Qureshi, Ahmad Uzair, Muhammad, Aneeqah Din, Ahmed, Arooj, Kerawala, Asad Ali, Aslam, Mohammad, Mehr, Asma, Javed, Ayesha, Ahmad, Farooq, Majid, Haroon Javaid, Ahmed, Hassan, Daudi, Irfan, Akhtar, Khalid, Niaz, Khurram, Anwer, Mariyah, Amir, Mohammed, Hanif, Muhammad Amir, Asif, Muhammad, Raza, Muhammad Asif, Khokhar, Muhammad Imran, Jameel, Muhammad Khurram, Nasir, Muhammad, Shafique, Muhammad Salman, Ateeb, Mujammad, Nadeem, Munawar, Shah, Rahmat Ullah, Waqar, Shahzad Hussain, Shah, Shahzad Alam, Waseem, Talat, Ghafoor, Tariq, Fatima, Tauseef, Bashir, Umar, Gonzales, Erick Ivan Huaman, Ruiz, Luis Angel Garcia, Freitas, Carla, De Sousa, Xavier, Al-Bahrani, Ahmed, Portela, Carlos Antonio Sanchez, Elgazar, Elsayed Aly, Robles, Eloy Morasen, Khan, Irfan Jan, Jarboa, Lutfi, Khawar, Mahwish, Echevarria, Miguel Jose Pinto, Bashah, Moataz M., Dawdi, Salahaldeen, Musthafa, Shameel, Ali, Syed Muhammad, Ciubotaru, Cezar, Bonci, Eduard-Alexandru, Muresan, Mihai-Stefan, Bogdan, Stoica, Ioan, Tanase, Zubayraeva, Albina, Derinov, Aleksandr, Zakharenko, Alexander, Novikova, Anastasia, Bashlachev, Andrey, Kaldarov, Ayrat, Stanislav, Berelavichus, Gorin, David, Puzenko, Dmitriy, Kazachenko, Ekaterina, Ashimov, Erkin, Medkova, Iuliia, Ignatov, Ivan, Sergeevich, Kochetkov Viktor, Sidorova, Lyudmila, Kiselev, Michail, Danilov, Michail, Aleksandr, Ogoreltsev, Rodimov, Sergey, Garmanovs, Tatiana, Kitsenko, Yury, Valery, Nekoval, Japhet, Ntezamizero, Sibiany, Abdulrahman, Saadeldin, Abdelhalim, Abuosba, Abdelrahman, Alawadhi, Abdulbari Mohammed, Alharbi, Abdulhamid, Althumali, Abdullah, Alghuliga, Abdullah, Alotaibi, Abdullah, Abduraboh, Abdullah Fayez, Kateb, Abdullah, Sindy, Abdullah, Al Eisa, Abdulmohsen, Alotaibi, Abdulrahman, Almulhim, Abdulrhman, Aljawhari, Adel Ali, Abozeid, Ahmad Mahmoud, Saad, Ahmad, Alqarni, Ahmed, Alwan, Ahmed, Alwusaibie, Ahmed, Bafaraj, Ahmed, Eldeeb, Ahmed, Tarabay, Ahmed, Mohammed, Mahfoudh, Alhedaithy, Alhanouf, Almaghrabi, Alhassan Hesham, Abed, Ali Ibrahim Eldawy, Abdullah, Alqahtani Ali, Semilan, Anmar, Farag, Mohamed, Khudhayr, Essa, Hussain, Marwah, Abbas, Ghanem, Alqudaihi, Heba, Abualnaja, Yousra, Shaheen, Abelnasser, Mubarak, Ashraf Abdelazeem Mohamed, Ali, Bandar Idrees A., Alhazmi, Barrag, Hijazi, Bilal Ahmed, Abdulrahman, Chadi, Oyedepo, Charles Olajide, Alzamel, Heythem, Tairab, Elsanousi Ibrahim Sabir, Alsuwaimel, Munir A., Hejazi, Soha, Alnoqaidan, Emad, Alhussien, Fade Ahmed, Jallad, Fadi Sami, Khadwardi, Faisal, Alghamdi, Faisal Saleh, Haddad, Feras, Sauri, Fozan, Alafghani, Haitham, Alfalah, Haitham, Gad, Hamada, Aboelmagid, Hamdy Haggag Ebrahim, Ibrahim, Hamed, Elzayady, Hany M., Sharafeldin, Hatem Abdelrahman Ahmed, Sembawa, Hatem A., Alabbas, Haytham, Abbas, Hazem, Elgamal, Hesham, Alawfi, Homoud, Al-Sadery, Humood, Abdelmotaleb, Hussien Ali, Al Hassn, Ibrahim, Mudawi, Ishag M., Nekhala, Islam, Elsanhoury, Kareem, Said, Khalid Babieker, Albeshri, Khalid A., Albahooth, Khalid, Mohammed, Khalid Fathelrahman Bakier, Asar, Khalid Mohammad Ibrahim, Osman, Luqman, Alzamanan, Mahdi, Alnabarawi, Mahmoud, Althobaiti, Majid, Elsayed, Mohamed Abdelmoneim, Al Naeb, Mohamed, Hassan, Mohamed Salah Eldin, Abdelhamid, Mohamed Sayed, Alyami, Mohammad, Mirza, Mohammad Amin, Sayouh, Mohammad, Alkhayat, Mohammed Amer, Basendowah, Mohammed, Ghunaim, Mohammed, Alhussaini, Mohammed Khalid, Khoj, Mohammed, Sbaih, Mohammed, Saeed, Muhammad Ahmad, Ali, Muhammad Zulfiqar, Abdelaziz, Nabil Yassin Tammam, Malibary, Nadim, Abdo, Nael, Amer, Nasser Mohammed, Al Turki, Neamat Ahmed Ali, Durayb, Norah, Yassin, Nouf, Akeel, Nouf, Larbi, Noureddine, Alsallum, Ofays, Suliman, Omar AAbu, Elsherbiny, Osama, Abusalem, Osama, Albalawi, Ibrahim Altedlawi, Abutalib, Raid Abdullah, Alarabi, Rayan, Khan, Roaa Ghazi, Alazzam, Saleh, Alghamdi, Saleh, Alsawat, Salem, Salim, Sami, Alshukr, Sarah, Alzahrani, Saud, Golea, Smain, Alowairdhi, Tumadher, Salman, Usama, Abusiam, Wael, Abualkhair, Wael, Saber, Wael, Tashkandi, Wail, Alhazmi, Waleed, Tashkandi, Waleed, Yassine, Wassim Abou, Alshabi, Yaser Ahmad, Ibrahim, Yaser, Shahin, Yasser, Ibrahim, Yassin, Aljathlany, Yousef, Alnahas, Yousef, Alrashidi, Yousef, Wali, Zubair, Ndong, Abdourahmane, Ba, Mamadou, Faye, Papa Mamadou, Arbutina, Dragana, Milic, Ljiljana, Cuk, Vladica, Hussein, Abdinafic Mohamud, Mccaul, Jeannie, Bertels, Laurie, Pohl, Linda, Arnold, Marion, Mbatani, Nomonde, Oosthuizen, Pj, Rayamajhi, Shreya, Vosloo, Susan, Jooma, Uzair, Landaluce-Olavarria, Aitor, Vázquez-Melero, Alba, Marcos, Alberto, Puerto Puerto, Alejandro, De La Hermosa, Alicia Ruiz, Senent-Boza, Ana, Ugarte-Sierra, Bakarne, Montalbán, Beatriz Cros, Martin-Perez, Beatriz, Gomez, Caroina Gonzalez, Colás-Ruiz, Enrique, Santos, Esther Garcia, Senra, Fatima, Mora-Guzmán, Ismael, Dziakova, Jana, Díaz, Jeancarlos J. Trujillo, Silva, Jesús, Laina, Juan Luis Blas, Tallon-Aguilar, Luis, Di Martino, Marcello, Chacón, Mario Franco, Frasson, Matteo, Calvo, Mikel Prieto, Millan, Monica, Tejedoe, Patricia, Pérez-Bertólez, Sonia, Turrado-Rodríguez, Víctor, Elsanosi, Abdelrhman Azhari Mohammed, Abdalbakheet, Duaa, Ahmed, Mohamed, Salim, Omer El Faroug H., Youssef, Mohamed, Barbon, Carlotta, Bouchrika, Amal, Maghrebi, Houcine, Loukil, Issam, Yildiz, Alp, Dursun, Ayberk, Gulcu, Baris, Calik, Bulent, Eral, Burak, Yeşilyurt, Değercan, Yakar, Fatih, Akin, Furkan Atakan, Kilinc, Gizem, Uslu, Gülberk, Tuncer, Korhan, Koc, Mehmet Ali, Leventoğlu, Sezai, Sokmen, Selman, Atici, Semra Demirli, Kaya, Tayfun, Dere, Ümit Akın, Kırmızı, Yasemin, Ssenono, Kavuma Daniel, Lule, Herman, Mbiine, Ronald, Hamza, Ahmed, Ali, Shabeer, Peediyakkal, Saidalavi Padinhare, Varma, Gopala Pillay, Mussa, Haidar Aal, Al-Masari, Hayder Makki, Shehata, Mina, Seiam, Moham, Aziz, Muhammad Akram Abdul, Nimir, Nessrein, Khare, Ritu, Rashid, Shahid, Kazim, Shuiab, Gondal, Zafar, Sherif, Ahmed Elshawadfy, Ghanem, Ahmed, Helmy, Ahmed Hazem I., Ibrahim, Ahmed, Elshaer, Ahmed Mohammed, Marzouk, Ahmed Msm, Tamburrini, Alessandro Paolo, Parente, Alessandro, Light, Alexander, Diamantopoulou, Angela, Singh, Baljit, Gurung, Binay, Frauenfelder, Claire, Leo, Cosimo Alex, Raptis, Dimitri, Thakrar, Dixa, Madhuri, Thumuluru Kavitha, Tsounaki, Efthymia, Garreffa, Emanuele, Soggiu, Fiammetta, Stavrou, George, Ng, Hwei Jene, Tabasi, Hani, Nasef, Hazem, Kostakis, Ioannis D., Jeffery, James, Warusavitarne, Janindra, Lund, Jon, Qurashi, Kamran, Sahnan, Kapil, Tong, Kin Seng, Orecchia, Luca, Kaur, Mandeep, Zaidi, Mariam, Ganau, Mario, Hassan, Mohamed Ali Gad, Curtis, Nathan, Bhatt, Nikita, Machairas, Nikolaos, Zafar, Noman, Toma, Omar, Sarmah, Panchali, Bassuni, Majid, Davies, Justin, Shawer, Sami, Shawer, Sherif, Lewis, Sophia, Subramanian, Sivaraman, Ahmad, Suhaib, Nadeem, Uqba, Njau, Aidan, Tohamy, Aley Eldin, Pakula, Andrea M., Simioni, Andrea, Jarvis, Bennie L., Skandalakis, Georgios P., Hesham, Hosai Todd, Isaiah, Isaac A., Villwock, Jennifer, Martin, Linda W., Kress, Melissa, Sebelik, Merry, Lathan, Sanaz, Towfigh, Shirin, Holubar, Stefan D., Demeester, Steve, Alshehari, Mohammed Mohammed Hasan, Ghabisha, Saif Ali, Abdulatef, Shehab Ahmed Ali, Al-Kubati, Waheeb, Obadiel, Yasser Abdurabo, Gots, Alexander, Nakazwe, Mildred, Chipaila, Jackson, and Mazingi, Dennis
- Abstract
BackgroundSARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice.MethodsThis is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure.ResultsNine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout.There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management.ResultsNine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout.There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits
- Published
- 2024
47. A Tunable Bandstop Filter Based on Source Follower.
- Author
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Fatima T. Almutairi and Aydin I. Karsilayan
- Published
- 2019
- Full Text
- View/download PDF
48. Perception of, and Reaction to, Tinnitus: The Depression Factor
- Author
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Husain, Fatima T.
- Published
- 2020
- Full Text
- View/download PDF
49. Contribution of Tinnitus and Hearing Loss to Depression: NHANES Population Study
- Author
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Chakrabarty, Sayan, primary, Mudar, Raksha, additional, Chen, Yuguo, additional, and Husain, Fatima T., additional
- Published
- 2024
- Full Text
- View/download PDF
50. INVESTIGATION OF THE IMPACT OF DIFFERENT PARAMETERS ON THE MORPHOLOGY OF ELECTROSPUN POLYURETHANE NANOFIBERS
- Author
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Sabri, Fatima T., primary and Mahammed, Manaf A., additional
- Published
- 2024
- Full Text
- View/download PDF
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