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Article ; Online: Estimation of Cyclophilin and Phospholipase Enzyme in Women Infected with Toxoplasmosis.

Al-Kremy, Noor Abdul Redah / Al-Qrashy, Maher Ali

Medical archives (Sarajevo, Bosnia and Herzegovina)

2023 Volume 76, Issue 6, Page(s) 443–446

Abstract: Background: Toxoplasma gondii, a protozoan parasite with a worldwide distribution, is considered to infect one-third of all humans. many species. The intracellular parasite Toxoplasma gondii causes toxoplasmosis. Numerous physiological abnormalities are ...

Abstract	Background: Toxoplasma gondii, a protozoan parasite with a worldwide distribution, is considered to infect one-third of all humans. many species. The intracellular parasite Toxoplasma gondii causes toxoplasmosis. Numerous physiological abnormalities are documented in toxoplasmosis-infected women. Objective: This study aims to demonstrate the connection between cyclophilins, the phospholipase enzyme, and latent toxoplasmosis. Methods: The research was carried out between January 2022 and June 2022. out of 150 patients had blood samples drawn, 250 had serum samples drawn from women with toxoplasma gondi infection, and 50 had healthy samples drawn from Hila city, Iraq. To exclude subjects who had any medical disorders, information from the subjects was gathered via an interviewer-managed questionnaire. ELISA was used to examine the serum. Results: About 250 samples from women with infertility were infected with Toxoplasma gondii overall (24%) Enzyme-Linked Immunosorbent Assay was utilized to evaluate the levels of phospholipase and cyclophilin, while automated VIDAS family instruments were employed to determine the qualitative and quantitative anti-Toxoplasma-IgG-tests (ELISA). Since there was a substantial difference in the statistical analysis and a significant difference in the cyclophilin protein, parasite infection changed the quantity of the enzyme phospholipase. Conclusion: This study put forth the theory that toxoplasmosis infection. Our investigation showed that patients with toxoplasma Gondi infection had higher levels of cyclophilins and phospholipase than control subjects.
MeSH term(s)	Humans ; Female ; Cyclophilins ; Phospholipases ; Toxoplasmosis ; Toxoplasma ; Enzyme-Linked Immunosorbent Assay
Chemical Substances	Cyclophilins (EC 5.2.1.-) ; Phospholipases (EC 3.1.-)
Language	English
Publishing date	2023-02-14
Publishing country	Bosnia and Herzegovina
Document type	Journal Article
ZDB-ID	128782-5
ISSN	1986-5961 ; 0025-8083 ; 0350-199X
ISSN (online)	1986-5961
ISSN	0025-8083 ; 0350-199X
DOI	10.5455/medarh.2022.76.443-446
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Fused RetinaNet for small target detection in aerial images

Ahmed, M. / Wang, Y. / Maher, Ali / Bai, X.

International journal of remote sensing. 2022 Apr. 18, v. 43, no. 8

2022

Abstract: Recently, there has been renewed interest in object detection in computer vision. Several attempts have been made to improve small objects recognition, particularly in aerial images, due to their weak representative features and low resolution. However, ... ...

Abstract	Recently, there has been renewed interest in object detection in computer vision. Several attempts have been made to improve small objects recognition, particularly in aerial images, due to their weak representative features and low resolution. However, these instances are still a challenge. The principal objective of this paper is to introduce a Fused RetinaNet detector, an enhanced RetinaNet with a novel context fusion module instead of the feature pyramid network (FPN), to improve low layers semantic information and top layers spatial resolution. This module firstly aggregates multi-scale backbone feature maps at once to make a robust shallow layer. Then, a parallel-branch dilated module is proposed in front of each network level to present more context information. Finally, aggregation and dilated modules are laterally connected at each backbone level via a bottom-up path approach to compensate for information loss during downsampling. Comprehensive experiments are carried out on NWPU VHR-10 and DOTA aerial image datasets. The evaluation reveals the proposed Fused RetinaNet superiority in aerial images small target detection. It achieves a mean average precision (mAP) value of 91.83% and 57.13% on NWPU VHR-10 and DOTA, respectively. Also, it scores a mAP of 62.59% on DOTA when the k-means clustering algorithm is used.
Keywords	aerial photography ; algorithms ; computer vision ; data collection
Language	English
Dates of publication	2022-0418
Size	p. 2813-2836.
Publishing place	Taylor & Francis
Document type	Article
ZDB-ID	1497529-4
ISSN	1366-5901 ; 0143-1161
ISSN (online)	1366-5901
ISSN	0143-1161
DOI	10.1080/01431161.2022.2071115
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Applying the Delphi Approach to Prioritize Social Factors Affecting the Development of Children Under Six Years.

Sadrkhanlou, Mitra / Maher, Ali / Alimohammadzadeh, Khalil / Jafari, Mehrnoosh / Bahadori, Mohammadkarim

BMC public health

2023 Volume 23, Issue 1, Page(s) 1659

Abstract: Background: Social determinants of health have a key role in the growth and development of children, particularly in early childhood which is mentioned from infancy to the age of six years old. These factors might cause disparities in living conditions ... ...

Abstract	Background: Social determinants of health have a key role in the growth and development of children, particularly in early childhood which is mentioned from infancy to the age of six years old. These factors might cause disparities in living conditions and consequently bring about inequities regarding different aspects of development such as emotional, psychological, social, psychological, and intellectual. This research aimed to provide a model for prioritizing social factors affecting the development of children under six years. Methods: We used quantitative-qualitative (mixed) method to perform data analysis. The statistical population included 12 medical experts and professionals in the field of children's development and social determinants of health that were selected using the snowball method. In the quantitative section, a Delphi technique was applied to screen the extracted indicators. Then through applying a decision-making trial and evaluation laboratory (DEMATEL) method, the cause-and-effect interactions among main social determinants were identified. To analyze data, super decision software was used. Results: According to literature review and the results obtained from focus group discussions, five dimensions including individual factors, family factors, environmental factors, governance, and global factors were identified. Based on the study findings, the criterion of "family factors" was mentioned as the most important priority affecting childhood development. Furthermore, the sub-criterion of "International Programs and Policies" received the greatest priority among other sub-criteria with a profound impact on children's healthy growth and development. Conclusion: Despite the current knowledge about social determinants of health, it is required to identify the most influential socioeconomic factors on childhood development. In such a manner, political strategies for improving the health condition of children can be implemented based on scientific evidence. Due to the crucial role of family factors, environmental factors and other socio-economic conditions, health policy makers and public health practitioners should be informed of the importance of these factors in shaping the health condition of children.
MeSH term(s)	Child ; Child, Preschool ; Humans ; Administrative Personnel ; Child Development ; Health Policy ; Social Factors ; Socioeconomic Factors ; Male ; Female
Language	English
Publishing date	2023-08-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-023-16521-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A novel approach toward skin cancer classification through fused deep features and neutrosophic environment.

Abdelhafeez, Ahmed / Mohamed, Hoda K / Maher, Ali / Khalil, Nariman A

Frontiers in public health

2023 Volume 11, Page(s) 1123581

Abstract: Variations in the size and texture of melanoma make the classification procedure more complex in a computer-aided diagnostic (CAD) system. The research proposes an innovative hybrid deep learning-based layer-fusion and neutrosophic-set technique for ... ...

Abstract	Variations in the size and texture of melanoma make the classification procedure more complex in a computer-aided diagnostic (CAD) system. The research proposes an innovative hybrid deep learning-based layer-fusion and neutrosophic-set technique for identifying skin lesions. The off-the-shelf networks are examined to categorize eight types of skin lesions using transfer learning on International Skin Imaging Collaboration (ISIC) 2019 skin lesion datasets. The top two networks, which are GoogleNet and DarkNet, achieved an accuracy of 77.41 and 82.42%, respectively. The proposed method works in two successive stages: first, boosting the classification accuracy of the trained networks individually. A suggested feature fusion methodology is applied to enrich the extracted features' descriptive power, which promotes the accuracy to 79.2 and 84.5%, respectively. The second stage explores how to combine these networks for further improvement. The error-correcting output codes (ECOC) paradigm is utilized for constructing a set of well-trained true and false support vector machine (SVM) classifiers
MeSH term(s)	Humans ; Skin Neoplasms/diagnosis ; Melanoma/diagnosis ; Diagnosis, Differential ; Support Vector Machine
Language	English
Publishing date	2023-04-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1123581
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A study on the consumption of safe drinking water and its determinants using the weighted multinomial logistic model

Maher Ali / Said Farooq Shah / Yasir Khan / Syed Muhammad Asim / Syed Fasih Ullah

Aqua, Vol 72, Iss 12, Pp 2422-

2023 Volume 2445

Abstract: This study introduces a novel approach by incorporating weighted analyses along with unweighted to comprehensively examine the decision-making processes related to drinking water sources and treatment in Pakistani households, utilizing 2018 Pakistan ... ...

Abstract	This study introduces a novel approach by incorporating weighted analyses along with unweighted to comprehensively examine the decision-making processes related to drinking water sources and treatment in Pakistani households, utilizing 2018 Pakistan Demographic and Health Survey (PDHS) data for weighted descriptive statistics and weighted multinomial logistic models. This research uncovers distinct preferences between urban and rural regions, with urban areas favoring piped water and rural areas relying on surface water and unprotected wells. The age of the household head, household size, media exposure, education, women's empowerment, and wealth are identified as crucial factors influencing these choices. Furthermore, this study delves into household water treatment (HWT) adoption and finds varying rates among rural and urban areas, with household head age and education level playing pivotal roles. Remarkably, household size and media exposure exhibit no significant impact on HWT adoption. The incorporation of weighted and unweighted analyses enriches the understanding of safe drinking water preferences, highlighting regional disparities and influential factors in water source and treatment method adoption within Pakistani households. HIGHLIGHTS Use of sampling weights.; Checking the impact of sampling weights on determinants of safe drinking water.; Finding out the determinants of household water treatment.; Computing the descriptive statistics of safe drinking water and household water treatment (HWT).; Comparing the weighted and unweighted descriptive statistics based on their properties.;
Keywords	bottled/filter water ; drinking water sources ; household water treatment ; protected well ; safe drinking water ; surface water ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	IWA Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The relationship between talent management and the efficiency of head nurses and senior and middle managers from the educational and medical centers in Tabriz, Iran - a case study.

Chelan, Sajad Hadi / Alimohammadzadeh, Khalil / Maher, Ali

Journal of medicine and life

2022 Volume 15, Issue 8, Page(s) 1018–1024

Abstract: Nowadays, organizations understand that they need the best talent to succeed in the complex world economy and survive in a competitive business environment. Therefore, talent management can ensure that each employee with a unique talent or ability will ... ...

Abstract	Nowadays, organizations understand that they need the best talent to succeed in the complex world economy and survive in a competitive business environment. Therefore, talent management can ensure that each employee with a unique talent or ability will be placed in the correct position. This article aimed to study the relationship between talent management, senior and middle managers, and head nurses from educational health and research centers in Tabriz, in 2016. The target population included senior and middle managers and head nurses from Tabriz University of Medical Sciences, approximately 197 people. The sample for this study was selected based on Morgan's table, which rounds up to 123 people. The Kolmogorov-Smirnov test was used to analyze data, and if data were normal, correlation and regression analysis were performed. There was a significant relationship between talent management and the efficiency of senior and middle management and head nurses from the educational and medical centers in Tabriz. Therefore, when talent management increases, the efficiency level also rises to a noticeable degree. Also, the linear regression showed a linear relationship between talent management as an independent variable and efficiency as a dependent variable. Applying talent management strategies in the management selection process in organizations with demanding environments such as hospitals seems inevitable so that managers with the highest efficiency are hired.
MeSH term(s)	Educational Status ; Hospitals ; Humans ; Iran ; Nursing, Supervisory ; Surveys and Questionnaires
Language	English
Publishing date	2022-10-05
Publishing country	Romania
Document type	Journal Article
ZDB-ID	2559353-5
ISSN	1844-3117 ; 1844-3117 ; 1844-3109
ISSN (online)	1844-3117
ISSN	1844-3117 ; 1844-3109
DOI	10.25122/jml-2017-0066
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Survey on Human Cancer Categorization Based on Deep Learning.

Ibrahim, Ahmad / Mohamed, Hoda K / Maher, Ali / Zhang, Baochang

Frontiers in artificial intelligence

2022 Volume 5, Page(s) 884749

Abstract: In recent years, we have witnessed the fast growth of deep learning, which involves deep neural networks, and the development of the computing capability of computer devices following the advance of graphics processing units (GPUs). Deep learning can ... ...

Abstract	In recent years, we have witnessed the fast growth of deep learning, which involves deep neural networks, and the development of the computing capability of computer devices following the advance of graphics processing units (GPUs). Deep learning can prototypically and successfully categorize histopathological images, which involves imaging classification. Various research teams apply deep learning to medical diagnoses, especially cancer diseases. Convolutional neural networks (CNNs) detect the conventional visual features of disease diagnoses, e.g., lung, skin, brain, prostate, and breast cancer. A CNN has a procedure for perfectly investigating medicinal science images. This study assesses the main deep learning concepts relevant to medicinal image investigation and surveys several charities in the field. In addition, it covers the main categories of imaging procedures in medication. The survey comprises the usage of deep learning for object detection, classification, and human cancer categorization. In addition, the most popular cancer types have also been introduced. This article discusses the Vision-Based Deep Learning System among the dissimilar sorts of data mining techniques and networks. It then introduces the most extensively used DL network category, which is convolutional neural networks (CNNs) and investigates how CNN architectures have evolved. Starting with Alex Net and progressing with the Google and VGG networks, finally, a discussion of the revealed challenges and trends for upcoming research is held.
Language	English
Publishing date	2022-06-27
Publishing country	Switzerland
Document type	Journal Article ; Review
ISSN	2624-8212
ISSN (online)	2624-8212
DOI	10.3389/frai.2022.884749
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Identification of the factors affecting the referral system of veterans' health services: A scoping review.

Taymournejad, Ahmad / Hosseini, Seyed Mojtaba / Jafari, Mehrnoosh / Alimohammadzadeh, Khalil / Maher, Ali

Journal of education and health promotion

2023 Volume 12, Page(s) 255

Abstract: Referral in the health system is a systematic process for the optimal allocation of resources and improves the access of people in need of treatment services. Considering the vulnerability of the veterans and more medical needs in this group, this study ... ...

Abstract	Referral in the health system is a systematic process for the optimal allocation of resources and improves the access of people in need of treatment services. Considering the vulnerability of the veterans and more medical needs in this group, this study aims to identify the components that affect veterans' health services referral system. MEDLINE, Scopus, Web of Science, and ProQuest databases, the international military studies website, and key journals in the field of veterans' health services were searched with related keywords including "veteran," "referral system," and "health services" for the period from January 2000 to July 2022. Studies were screened and selected in accordance with the phases of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) flow diagram 2020. Data extraction was done by two researchers independently and a thematic content analysis method was used to analyze the findings. Among 40,608 studies searched electronically and 16 studies searched manually, 19 studies that met the inclusion criteria were selected. The research method applied here is a combination of quantitative, qualitative, and mixed methods. The most important findings were extracted from the included studies and analyzed in three general categories: components related to the patient, service provider, and the structural-operational mechanisms of the referral system. The effective performance of the referral system for providing health services to veterans is influenced by the factors affecting components related to the patient, the service provider, and the structural-operational mechanisms of the referral system. Evaluating and improving each of these factors improve the performance of the referral system and provision of health services to veterans.
Language	English
Publishing date	2023-07-29
Publishing country	India
Document type	Journal Article ; Review
ZDB-ID	2715449-X
ISSN	2319-6440 ; 2277-9531
ISSN (online)	2319-6440
ISSN	2277-9531
DOI	10.4103/jehp.jehp_69_23
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Relationship Between Income Level and Hospitalization Rate in COVID-19 Cases; an Example of Social Factors Affecting Health.

Maher, Ali / Dehnavi, Hamed / Salehian, Elham / Omidi, Mona / Hannani, Khatereh

Archives of academic emergency medicine

2022 Volume 10, Issue 1, Page(s) e23

Abstract: Introduction: Considering the population's socioeconomic status and clinical features is essential in planning and performing interventions related to disease control. The main purpose of this study was to investigate the relationship between income ... ...

Abstract	Introduction: Considering the population's socioeconomic status and clinical features is essential in planning and performing interventions related to disease control. The main purpose of this study was to investigate the relationship between income level and hospitalization rate of COVID-19 patients‌. Methods: A cross-sectional study was performed on 198,944 hospitalized COVID-19 patients in Tehran province between March 2020 and March 2021. Data of hospitalized COVID-19 patients was obtained from the Hospital Intelligent Management System (HIM). The income data of patients were obtained from the Iranian Database on Targeted Subsidies belonging to the Ministry of Cooperatives, Labor, and Social Welfare. Data analyses were performed using SPSS software. Results: About 2.5% of the inpatients were from the first decile, while 20.6% were from the tenth. The share of the lower three deciles of total hospitalization was about 11%, while the share of the upper three deciles was 50%. There was a big difference between the upper- and lower-income deciles regarding death rates. In the first decile, 30% of inpatients died, while the proportion was 10% in the tenth decile. There was a significant and positive relationship between income decline and hospitalization (r = 0.75; p = 0.02). Also, there was a significant and negative relationship between income decline and death rate (r = -0.90; p = 0.01). Conclusion: Low-income groups use fewer inpatient services, are more prone to severe illness and death from COVID-19‌, and treatment in this group has a lower chance of success. Using a systemic approach to address socioeconomic factors in healthcare planning is crucial.
Language	English
Publishing date	2022-04-09
Publishing country	Iran
Document type	Journal Article
ISSN	2645-4904
ISSN (online)	2645-4904
DOI	10.22037/aaem.v10i1.1600
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Transformational Management Properties among Managers of Private and Public Hospitals in Gonbad-e-Kavus City.

Mehrnoosh, Jafari / Maher, Ali / Sheikhi, Marziyeh

Journal of medicine and life

2020 Volume 13, Issue 3, Page(s) 362–370

Abstract: Transformational management properties could make the weakest organizations strong with the right and efficient approach build. The aim of this study was to determine the transformational management properties among hospital managers in Gonbad-e-Kavus. ... ...

Abstract	Transformational management properties could make the weakest organizations strong with the right and efficient approach build. The aim of this study was to determine the transformational management properties among hospital managers in Gonbad-e-Kavus. In terms of data collection, the present study is an an applied research involving objective and descriptive-analytical surveys. The statistical population includes all staff hospitals that were selected randomly in Gonbad-e-Kavous city. The present study was performed including 7 hospitals and 346 respondents. Castiglion transformational management properties questionnaire (2006) was used to collect the required data, with Cronbach's alpha coefficient (0.946). Based on the findings of the research, 67.3% (233 subjects) of the participants in the study evaluated the transformational management properties of the managers of the hospitals at a good level (with a score of 140. 76 ± 27.76), with Payambar Hospital having the highest (151.57 ± 20.31) and Taleghani Hospital the lowest score (130.22 ± 28.10) attributed to the management properties affecting change management. Based on the findings of the research and the impact of effective transformational management properties among the managers of the understudy hospitals, it is recommended to form all effective management transformational management properties, through founding special educational units and holding classes for hospital managers, in order to form various skills and competencies such as communication skills, skills to influence others, trusting, attention skills, and providing sufficient independence which all play an essential role in the success of managers and pave the ground for the flourishment of transformation and innovation in the hospitals.
MeSH term(s)	Cities ; Health Personnel ; Hospitals, Private/organization & administration ; Hospitals, Public/organization & administration ; Humans ; Iran ; Leadership ; Male ; Surveys and Questionnaires
Language	English
Publishing date	2020-09-30
Publishing country	Romania
Document type	Journal Article
ZDB-ID	2559353-5
ISSN	1844-3117 ; 1844-3109 ; 1844-122X
ISSN (online)	1844-3117 ; 1844-3109
ISSN	1844-122X
DOI	10.25122/jml-2018-0066
Database	MEDical Literature Analysis and Retrieval System OnLINE

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