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Article: The Cost of Frontline Nursing: Investigating Perception of Compensation Inadequacy During the COVID-19 Pandemic.

Ali, Haneen / Fatemi, Yasin / Hamasha, Mohammad / Modi, Shikha

2023 Volume 16, Page(s) 1311–1326

Abstract: Background: Nursing professionals experienced greater levels of stress and burnout during the COVID-19 pandemic. Studies examining stress and burnout have found a relationship between compensation and burnout. However, further studies are needed to ... ...

Abstract	Background: Nursing professionals experienced greater levels of stress and burnout during the COVID-19 pandemic. Studies examining stress and burnout have found a relationship between compensation and burnout. However, further studies are needed to examine the relationship between the mediating effects of supervisor and community support and coping strategies and the effects of burnout on compensation. Objective: The purpose of this study is to build on previous burnout research by examining the mediation effects of supervisor and community support and coping strategies on the relationship between sources of stress and burnout on feelings of compensation inadequacy, or the desire for more compensation. Methods: Using Qualtrics survey responses from 232 nurses, this study used correlation testing and mediation analyses of indirect, direct, and total effects to explore the relationships between critical factors influencing stress, burnout, nurses' use of coping skills, and the perception of supervisor and community support on perceived compensation inadequacy. Results: This study found that the support domain has a significant and positive direct effect on compensation, with supervisor support increasing the desire for additional compensation. Support was also found to have a significant and positive indirect effect and a significant and positive total effect on the desire for additional compensation. This study's results also found that coping strategies had a significant, direct positive effect on the desire for additional compensation. While problem solving and avoidance increased the desire for additional compensation, transference had no significant relationship. Conclusion: This study found evidence of the mediation effect of coping strategies on the relationship between burnout and compensation.
Language	English
Publishing date	2023-05-10
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2453343-9
ISSN	1178-2390
ISSN	1178-2390
DOI	10.2147/JMDH.S402761
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Fuzzy-based cluster routing in wireless sensor network.

Naderloo, AliReza / Fatemi Aghda, Seyed Ali / Mirfakhraei, Mahdi

Soft computing

2023 Volume 27, Issue 10, Page(s) 6151–6158

Abstract: The wireless sensor network is of great interest due to its special features and applications. Due to the computational limitation and power supply of these networks, hierarchical cluster routing is mentioned as a solution to improve the problem of ... ...

Abstract	The wireless sensor network is of great interest due to its special features and applications. Due to the computational limitation and power supply of these networks, hierarchical cluster routing is mentioned as a solution to improve the problem of energy consumption and network lifetime. In our study, a fuzzy-based clustering routing protocol was proposed that uses network zoning and node residual energy parameters, node distance to the center of each zone, and node-to-base station angle as fuzzy input for cluster head selection. In the proposed method with the aim of reducing network energy consumption, the responsibility of choosing CHs in each area, determining the area of each node, calculating the distance of each node to the center and calculating the angle of each node was assigned to the BS. The proposed method was carried out with Farahzadi, LEACH, MSCR protocols in terms of network lifetime evaluation criteria, stability period, selection and number of CH and average residual energy in MATLAB environment. The comparison of the results showed that the proposed method has performed better in terms of criteria, so that the network lifetime as one of the important indicators, the proposed method has improved by 50%, 40% and 20%, respectively, compared to LEACH, Farahzadi and MSCR methods.
Language	English
Publishing date	2023-03-20
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1476598-6
ISSN	1433-7479 ; 1432-7643
ISSN (online)	1433-7479
ISSN	1432-7643
DOI	10.1007/s00500-023-07976-6
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Article: Listening to the Voice of the Hospitalized Child: Comparing Children's Experiences to Their Parents.

Ali, Haneen / Fatemi, Yasin / Cole, Astin / Tahat, Sufyan / Ali, Duha

Children (Basel, Switzerland)

2022 Volume 9, Issue 12

Abstract: Background: Pediatric patients can provide feedback about their healthcare experiences. However, most do not and are instead represented by their parents. A widely accepted notion is that pediatric patients lack the capacity, vocabulary, and preferences ...

Abstract	Background: Pediatric patients can provide feedback about their healthcare experiences. However, most do not and are instead represented by their parents. A widely accepted notion is that pediatric patients lack the capacity, vocabulary, and preferences needed to answer meaningful questions related to their healthcare. However, because the pediatric patients' experience can differ from the perspective of their parents, the use of proxy reporting ultimately reduces the hospital's ability to address the concerns of pediatric patients directly. Objectives: The overall goals of this survey study were (1) to identify the key domains whereby pediatric patient and parent preferences differ and (2) to investigate the extent to which pediatric patients perceive their healthcare experiences differently from their parents. Methods: This study employed an adult version, an older child version, and a younger child version of a 47-question survey instrument divided into seven key domains: experience with the admission process, interactions with nurses, interactions with doctors, care in the hospital, hospital environment, experience before discharge, and overall score. The instrument was developed to survey children (ages 4-17) recently discharged from the hospital and their parents or guardian. Results: The findings suggest pediatric patients reported interest in engaging with their doctors about their healthcare. However, pediatric patients younger than 13 years old reported having fewer pediatric doctors ask them about their healthcare, with the youngest group reporting the worst experiences. Moreover, differences in perceptions were identified between pediatric patients and their parents regarding hospital quality and performance. Pediatric patients reported less pain and higher satisfaction regarding the cleanliness of the room and their experience in the admission process than their parents. Patient and parent responses were significantly different within each of the seven domains. Conclusion: The results speak to the larger discussion of whether current hospital settings can engage with small children at the level necessary to capture meaningful feedback about their healthcare experience. By providing additional evidence to the contrary, this survey study brings further context to misconceptions regarding pediatric patients' involvement as crucial actors in the patient-and-family-centered care model.
Language	English
Publishing date	2022-11-25
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2732685-8
ISSN	2227-9067
ISSN	2227-9067
DOI	10.3390/children9121820
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Article ; Online: Closed-loop supply network of electrical and electronic equipment under carbon tax policy.

Harijani, Ali Mirdar / Mansour, Saeed / Fatemi, Shirin

Environmental science and pollution research international

2023 Volume 30, Issue 32, Page(s) 78449–78468

Abstract: Waste electrical and electronic equipment is one of the essential pollutants with significant negative impacts on the environment and human health. In this study, a multi-period mixed-integer linear programming model is developed to design a closed loop ... ...

Abstract	Waste electrical and electronic equipment is one of the essential pollutants with significant negative impacts on the environment and human health. In this study, a multi-period mixed-integer linear programming model is developed to design a closed loop supply network for the management of electrical and electronic equipment by explicitly considering the economic and environmental sustainability with a budget constraint. Different recycling options like refurbishing, disassembling, remanufacturing, and disposal centers are considered in the design of the network. The model minimizes the total costs of the network and the total carbon emission tax. The literature review shows that the introduced model is more comprehensive than the other existing models because it simultaneously determines the location of facilities, the capacity of facilities, type of manufacturing technologies, variety of vehicles, and the allocation and transportation of materials and products. The model was applied to a real-life case study in Iran and could provide a profit of IRR 245,509,165 M during the planning periods. The carbon tax policy with different echelons is applied to control the environmental impacts in which the carbon tax increases as carbon emissions increase. The results show a nearly linear relationship between the total costs of the network and the carbon tax. The carbon tax of equal to or more than 10,800 IRR/t CO
MeSH term(s)	Humans ; Carbon ; Environment ; Costs and Cost Analysis ; Electronics ; Policy
Chemical Substances	Carbon (7440-44-0)
Language	English
Publishing date	2023-06-03
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-27443-x
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Article ; Online: MRI motion artifact reduction using a conditional diffusion probabilistic model (MAR-CDPM).

Safari, Mojtaba / Yang, Xiaofeng / Fatemi, Ali / Archambault, Louis

Medical physics

2023 Volume 51, Issue 4, Page(s) 2598–2610

Abstract: Background: High-resolution magnetic resonance imaging (MRI) with excellent soft-tissue contrast is a valuable tool utilized for diagnosis and prognosis. However, MRI sequences with long acquisition time are susceptible to motion artifacts, which can ... ...

Abstract	Background: High-resolution magnetic resonance imaging (MRI) with excellent soft-tissue contrast is a valuable tool utilized for diagnosis and prognosis. However, MRI sequences with long acquisition time are susceptible to motion artifacts, which can adversely affect the accuracy of post-processing algorithms. Purpose: This study proposes a novel retrospective motion correction method named "motion artifact reduction using conditional diffusion probabilistic model" (MAR-CDPM). The MAR-CDPM aimed to remove motion artifacts from multicenter three-dimensional contrast-enhanced T1 magnetization-prepared rapid acquisition gradient echo (3D ceT1 MPRAGE) brain dataset with different brain tumor types. Materials and methods: This study employed two publicly accessible MRI datasets: one containing 3D ceT1 MPRAGE and 2D T2-fluid attenuated inversion recovery (FLAIR) images from 230 patients with diverse brain tumors, and the other comprising 3D T1-weighted (T1W) MRI images of 148 healthy volunteers, which included real motion artifacts. The former was used to train and evaluate the model using the in silico data, and the latter was used to evaluate the model performance to remove real motion artifacts. A motion simulation was performed in k-space domain to generate an in silico dataset with minor, moderate, and heavy distortion levels. The diffusion process of the MAR-CDPM was then implemented in k-space to convert structure data into Gaussian noise by gradually increasing motion artifact levels. A conditional network with a Unet backbone was trained to reverse the diffusion process to convert the distorted images to structured data. The MAR-CDPM was trained in two scenarios: one conditioning on the time step Results: Qualitatively, MAR-CDPM outperformed these methods in preserving soft-tissue contrast and different brain regions. It also successfully preserved tumor boundaries for heavy motion artifacts, like the supervised method. Our MAR-CDPM recovered motion-free in silico images with the highest PSNR and VIF for all distortion levels where the differences were statistically significant (p-values Conclusions: The MAR-CDPM could successfully remove motion artifacts from 3D ceT1 MPRAGE. It is particularly beneficial for elderly who may experience involuntary movements during high-resolution MRI imaging with long acquisition times.
MeSH term(s)	Humans ; Aged ; Retrospective Studies ; Magnetic Resonance Imaging/methods ; Imaging, Three-Dimensional/methods ; Brain/diagnostic imaging ; Motion ; Brain Neoplasms/diagnostic imaging ; Models, Statistical ; Image Processing, Computer-Assisted/methods
Language	English
Publishing date	2023-11-27
Publishing country	United States
Document type	Multicenter Study ; Journal Article
ZDB-ID	188780-4
ISSN	2473-4209 ; 0094-2405
ISSN (online)	2473-4209
ISSN	0094-2405
DOI	10.1002/mp.16844
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Article ; Online: MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network.

Safari, Mojtaba / Fatemi, Ali / Archambault, Louis

BMC medical imaging

2023 Volume 23, Issue 1, Page(s) 203

Abstract: Purpose: This study proposed an end-to-end unsupervised medical fusion generative adversarial network, MedFusionGAN, to fuse computed tomography (CT) and high-resolution isotropic 3D T1-Gd Magnetic resonance imaging (MRI) image sequences to generate an ... ...

Abstract	Purpose: This study proposed an end-to-end unsupervised medical fusion generative adversarial network, MedFusionGAN, to fuse computed tomography (CT) and high-resolution isotropic 3D T1-Gd Magnetic resonance imaging (MRI) image sequences to generate an image with CT bone structure and MRI soft tissue contrast to improve target delineation and to reduce the radiotherapy planning time. Methods: We used a publicly available multicenter medical dataset (GLIS-RT, 230 patients) from the Cancer Imaging Archive. To improve the models generalization, we consider different imaging protocols and patients with various brain tumor types, including metastases. The proposed MedFusionGAN consisted of one generator network and one discriminator network trained in an adversarial scenario. Content, style, and L1 losses were used for training the generator to preserve the texture and structure information of the MRI and CT images. Results: The MedFusionGAN successfully generates fused images with MRI soft-tissue and CT bone contrast. The results of the MedFusionGAN were quantitatively and qualitatively compared with seven traditional and eight deep learning (DL) state-of-the-art methods. Qualitatively, our method fused the source images with the highest spatial resolution without adding the image artifacts. We reported nine quantitative metrics to quantify the preservation of structural similarity, contrast, distortion level, and image edges in fused images. Our method outperformed both traditional and DL methods on six out of nine metrics. And it got the second performance rank for three and two quantitative metrics when compared with traditional and DL methods, respectively. To compare soft-tissue contrast, intensity profile along tumor and tumor contours of the fusion methods were evaluated. MedFusionGAN provides a more consistent, better intensity profile, and a better segmentation performance. Conclusions: The proposed end-to-end unsupervised method successfully fused MRI and CT images. The fused image could improve targets and OARs delineation, which is an important aspect of radiotherapy treatment planning.
MeSH term(s)	Humans ; Brain Neoplasms/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Magnetic Resonance Imaging/methods ; Image Processing, Computer-Assisted/methods
Language	English
Publishing date	2023-12-07
Publishing country	England
Document type	Multicenter Study ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2061975-3
ISSN	1471-2342 ; 1471-2342
ISSN (online)	1471-2342
ISSN	1471-2342
DOI	10.1186/s12880-023-01160-w
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Article ; Online: Patient-specific geometrical distortion corrections of MRI images improve dosimetric planning accuracy of vestibular schwannoma treated with gamma knife stereotactic radiosurgery.

Safari, Mojtaba / Fatemi, Ali / Afkham, Younes / Archambault, Louis

Journal of applied clinical medical physics

2023 Volume 24, Issue 10, Page(s) e14072

Abstract: Purpose: To investigate the impact of MRI patient-specific geometrical distortion (PSD) on the quality of Gamma Knife stereotactic radiosurgery (GK-SRS) plans of the vestibular schwannoma (VS) tumors.: Methods and materials: Three open access ... ...

Abstract	Purpose: To investigate the impact of MRI patient-specific geometrical distortion (PSD) on the quality of Gamma Knife stereotactic radiosurgery (GK-SRS) plans of the vestibular schwannoma (VS) tumors. Methods and materials: Three open access datasets including the MPI-Leipzig Mind-Brain-Body (318 patients), the slow event-related fMRI designs dataset (62 patients), and the VS dataset (242 patients) were used. We used first two datasets to train a 3D convolution network to predict the distortion map of third dataset that were then used to calculate and correct the PSD. GK-SRS plans of VS dataset were used to evaluate dose distribution of PSD-corrected MRI images. GK-SRS prescription dose of VS cases was 12 Gy. Geometric and dosimetric discrepancies were assessed between the dose distributions and contours before and after the PSD corrections. Geometry indices were center of the contours, Dice coefficient (DC), Hausdorff distance (HD), and dosimetric indices were Results: Geometric distortions of about 1.2 mm were observed at the air-tissue interfaces at the air canal and nasal cavity borders. Average center of the targets was significantly distorted along the frequency encoding direction after the PSD-correction. Average DC and HD metrics were 0.90 and 2.13 mm. Average Conclusion: The proposed method could predict and correct the PSD that indicates the importance of PSD correction before GK-SRS plans of the VS patients.
MeSH term(s)	Humans ; Radiosurgery/methods ; Neuroma, Acoustic/diagnostic imaging ; Neuroma, Acoustic/radiotherapy ; Neuroma, Acoustic/surgery ; Radiometry ; Brain ; Magnetic Resonance Imaging ; Radiotherapy Planning, Computer-Assisted/methods ; Radiotherapy Dosage
Language	English
Publishing date	2023-06-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2010347-5
ISSN	1526-9914 ; 1526-9914
ISSN (online)	1526-9914
ISSN	1526-9914
DOI	10.1002/acm2.14072
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Article ; Online: A Fatigue Damage Model for Life Prediction of Injection-Molded Short Glass Fiber-Reinforced Thermoplastic Composites.

Amjadi, Mohammad / Fatemi, Ali

Polymers

2021 Volume 13, Issue 14

Abstract: Short glass fiber-reinforced (SGFR) thermoplastics are used in many industries manufactured by injection molding which is the most common technique for polymeric parts production. Glass fibers are commonly used as the reinforced material with ... ...

Abstract	Short glass fiber-reinforced (SGFR) thermoplastics are used in many industries manufactured by injection molding which is the most common technique for polymeric parts production. Glass fibers are commonly used as the reinforced material with thermoplastics and injection molding. In this paper, a critical plane-based fatigue damage model is proposed for tension-tension or tension-compression fatigue life prediction of SGFR thermoplastics considering fiber orientation and mean stress effects. Temperature and frequency effects were also included by applying the proposed damage model into a general fatigue model. Model predictions are presented and discussed by comparing with the experimental data from the literature.
Language	English
Publishing date	2021-07-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym13142250
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Article ; Online: Mobile health apps for pregnant women usability and quality rating scales: a systematic review.

Mazaheri Habibi, Mohammad Reza / Moghbeli, Fateme / Langarizadeh, Mostafa / Fatemi Aghda, Seyed Ali

BMC pregnancy and childbirth

2024 Volume 24, Issue 1, Page(s) 34

Abstract: Objective: This study is to identify the apps used by pregnant women during the technology era and to choose the best app from the point of view of pregnant women and experts.: Methods: The article is a research article that uses PRISMA flowchart. ... ...

Abstract	Objective: This study is to identify the apps used by pregnant women during the technology era and to choose the best app from the point of view of pregnant women and experts. Methods: The article is a research article that uses PRISMA flowchart. Given that there are many apps in the field of pregnancy and due to technological advances, the articles of the last 13 years that have been scientifically published in the databases of Google Scholar, PubMed, and Science Direct have been analyzed. The most widely used and, at the same time, the best app is introduced in terms of its high usability in users' attitude. Finally, Apps will be compared in terms of accuracy, precision, and usability of the dimensions of Jacob Nielsen's five principles. Results: According to the search strategy, 23 articles were identified qualitatively by reviewing both authors. Then, the types of apps were divided into three general categories, pregnant entertainment apps, pregnant information apps, and monitoring apps for mothers' physical health. Finally, 10 apps were selected and the Amila app was introduced as the best due to its high usability (Effectiveness %66.66) and users' satisfaction or women's choice (%98). Conclusion: Using trusted apps to maintain their health and reduce traffic will be very important. Given that this research article was written with the aim of choosing the best app, that not only provides the required information to mothers, but also the ability to interact with doctors and specialists.
MeSH term(s)	Pregnancy ; Female ; Humans ; Pregnant Women ; Mobile Applications ; Mothers ; Databases, Factual ; Telemedicine
Language	English
Publishing date	2024-01-05
Publishing country	England
Document type	Systematic Review ; Journal Article
ZDB-ID	2059869-5
ISSN	1471-2393 ; 1471-2393
ISSN (online)	1471-2393
ISSN	1471-2393
DOI	10.1186/s12884-023-06206-z
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Article ; Online: Retraction Note: Optical and structural properties of Sn and Ag-doped PbS/PVA nanocomposites synthesized by chemical bath deposition.

Fatemi, Ali / Tohidi, Tavakkol / Jamshidi-Galeh, Kazem / Rasouli, Milad / Ostrikov, Kostya

Scientific reports

2024 Volume 14, Issue 1, Page(s) 3708

Language	English
Publishing date	2024-02-14
Publishing country	England
Document type	Retraction of Publication
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-54118-5
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