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Article ; Online: The effect of healthy mental lifestyle package on sleep quality, mental health, and lifestyle of substance users

Fahimeh Amini / Saeed Vaziri / Zahra Amini

Advanced Biomedical Research, Vol 12, Iss 1, Pp 166-

2023 Volume 166

Abstract: Background: The aim of this study was to assess the effect of a training package based on the lived experience of substance abusers on sleep problems and mental health. Materials and Methods: The current study was performed on 70 subjects equally ... ...

Abstract	Background: The aim of this study was to assess the effect of a training package based on the lived experience of substance abusers on sleep problems and mental health. Materials and Methods: The current study was performed on 70 subjects equally distributed into two groups of control and intervention, Data collection tools included the Pittsburgh Sleep Quality Index (PSQI), the General Health Questionnaire (GHQ), and the Basic Adlerian Scales for Interpersonal Success—Adult Form (BASIS-A) Inventory. Data analysis was administered using the independent t-test, paired t-test, and MANCOVA. Statistical significance was considered when the P value < 0.05. Results: A total of 70 subjects participated in this study; 7 (10.6%) were females and 59 (89.4%) were males, with a mean age of 36.29 ± 8.588 years. The total score of PSQI was 12.48 (±4.206) and 13.16 (±3.397) for control and intervention groups, respectively, and declined to 12.33 (±4.442) and 9.56 (±4.45) after the intervention. The intervention resulted in an improved score for scales of belonging, going along, taking charge, harshness, being liked by all, and striving for perfection. Whereas the total score of the GHQ is reduced for both groups, that in the intervention group showed a higher decrease, which was also statistically significant. Conclusion: The developed training package successfully improved participants' sleep quality, mental health, and lifestyle.
Keywords	lifestyle ; mental health ; methadone ; sleep quality ; substance-related disorders ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	796
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Investigating the psychoacoustic characteristics of absorbents used in common earmuffs

Zahra Amini / Hadi Asady / Siamak Pourabdian / Farhad Forouharmajd

International Journal of Environmental Health Engineering, Vol 12, Iss 1, Pp 10-

A laboratory study

2023 Volume 10

Abstract: Introduction: In addition to having auditory effects, sound also has nonauditory effects. Acoustic Annoyance is one of the nonauditory effects of sounds which are construed as psychoacoustic characteristics. The study at hand was undertaken to ... ...

Abstract	Introduction: In addition to having auditory effects, sound also has nonauditory effects. Acoustic Annoyance is one of the nonauditory effects of sounds which are construed as psychoacoustic characteristics. The study at hand was undertaken to investigate the psychoacoustic characteristics of absorbents used in common earmuffs. Materials and Methods: In this study, four earmuffs prevalent in industries were used. The psychoacoustic characteristics of loudness and sharpness were measured and analyzed in sound levels of 75, 85, and 95 dB using an impedance tube and Va-Lab 4 software with and without absorbers. The results were analyzed with SPSS-26 software. Results: Results showed that the highest and the lowest increase in loudness were attributed to the EM-101 and the EM-104, respectively. In addition, with the increase in the sound level, the loudness increased. Furthermore, in 85 dB, there was no significant relationship between loudness and earmuff absorber only in the case of the earmuff EM-103. Furthermore, the highest and the lowest increase in sharpness were, respectively, attributed to the EM-101 and the EM-103. Only in the samples of EM-103 and EM-104 earmuffs at the level of 75 dB, there was no significant relationship between sharpness and earmuff absorber. Conclusion: Earmuffs used in industries showed different performances against the loudness and sharpness of the sound. In other words, the quality and the structure of earmuff absorber play noteworthy roles in decreasing the qualitative parameters of sound.
Keywords	impedance tube ; loudness ; psychoacoustic ; sharpness ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental engineering ; TA170-171 ; Environmental sciences ; GE1-350
Subject code	600
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems

Ramin Afrah / Zahra Amini / Rahele Kafieh / Alireza Vard

مجله پزشکی دانشگاه علوم پزشکی تبریز, Vol 44, Iss 4, Pp 270-

2022 Volume 280

Abstract: Background. Brain computer interface (BCI) systems by extracting knowledge from brain signals provide a connection channel to the outside world for disabled people, without physiological interfaces. Event-related potentials (ERPs) are a specific type of ... ...

Abstract	Background. Brain computer interface (BCI) systems by extracting knowledge from brain signals provide a connection channel to the outside world for disabled people, without physiological interfaces. Event-related potentials (ERPs) are a specific type of electroencephalography signals and P300 is one of the most important ERP components. The critical part of P300-based BCI systems is classification step. In this research, an approach is proposed for P300 classification based on novel machine learning methods using convolutional neural networks (CNN) and autoencoder networks. Methods. In the pre-processing step, channel selection, data augmentation (by ADASYN method), filtering and base-line drift were done. Then, in the classification step, four different CNN classifiers including CNN1D, CNN2D, CNN1D_Autoencoder, and CNN2D-Autoencoder were used for P300 classification. Results. After implementation and tuning the networks, 92% as a best accuracy was achieved by CNN2D_Autoencoder. This result was achieved with a considerable tradeoff between complexity and stability. Conclusion. The acquired results emphasize the ability of the deep learning methods in P300 classification and approve the advantage of using them in BCI systems. Furthermore, autoencoder versions of CNN networks are more stable and have a faster convergence. Meanwhile, ADASYN is a suitable method for augmentation of P300 data and even ERPs by sustaining the premier feature space without copying data. Practical Implications. Our results can increase the accuracy of P300 detection and simultaneously reduce the volume of data using the proposed model. Consequently, they can improve character recognition in P300-speller systems generally used by amyotrophic lateral sclerosis (ALS) patients.
Keywords	artificial intelligence ; p300 ; brain computer interface (bci) ; classification ; deep learning ; Medicine ; R
Subject code	006
Language	Persian
Publishing date	2022-10-01T00:00:00Z
Publisher	Tabriz University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Illness anxiety disorder and its relationship with social health in the elderly, Isfahan, Iran

Neda Tavakoli / Saeed Kaviani / Zahra Amini

Advanced Biomedical Research, Vol 11, Iss 1, Pp 42-

2022 Volume 42

Abstract: Background: The present study investigated the prevalence of illness anxiety disorder and its relationship with social health in the elderly population. Materials and Methods: This cross-sectional study was conducted on 400 elderly people in Isfahan ... ...

Abstract	Background: The present study investigated the prevalence of illness anxiety disorder and its relationship with social health in the elderly population. Materials and Methods: This cross-sectional study was conducted on 400 elderly people in Isfahan referred to the educational health service in 2020. In addition to demographic characteristics, they answered the 36-item Evans hypochondriasis questionnaire and the 28-item social health questionnaire. Results: Four hundred elderly participants with a mean age of 68.1 ± 6.6 (range: 60–89) were included in the study. One hundred and ninety-nine (49.8%) were female and 201 (50.3%) were male. Only 24.3% of the geriatrics were in the healthy group and 21.2% in the borderline category. Seventy-two of the geriatric population (18%) had poor social health and 299 of this population (74.8%) had moderate social health, and the social health status of 29 elderlies (7.3%) was favorable. There was an inverse relationship between hypochondriasis score and total social health score and its dimensions (P < 0.05). Conclusion: High prevalence of hypochondriasis was observed in the geriatrics compared to global studies. Most of the elderly population had moderate social health. Gender and education do not affect hypochondriasis and social health in the elderly. People with higher social health scores were clearly less likely to get hypochondriasis. Therefore, by improving the various dimensions of social health of the geriatrics, we can help reduce the prevalence of hypochondriasis in this age group.
Keywords	elderly ; hypochondriasis ; anxiety disorder ; social health ; Medicine ; R ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Retraction Note

Ziba Taherian / Mostafa Rezaei / Asefeh Haddadpour / Zahra Amini

Iranian Journal of Public Health, Vol 51, Iss

The Effect of COVID-19 Vaccination on Reducing the Risk of Infection, Hospitalization, and Death in Isfahan Province, Iran

2022 Volume 2

Abstract: ... in Isfahan Province, Iran.” by Ziba Taherian, Mostafa Rezaei, Asefeh Haddadpour, Zahra Amini, Iran J ...

Abstract	“The Effect of COVID-19 Vaccination on Reducing the Risk of Infection, Hospitalization, and Death in Isfahan Province, Iran.” by Ziba Taherian, Mostafa Rezaei, Asefeh Haddadpour, Zahra Amini, Iran J Public Health, 51(1), Jan 2022, 188-195. The above article, published online at https://ijph.tums.ac.ir/index.php/ijph/article/view/26539 has been retracted by agreement between the authors & the journal's Editor-in-Chief. After post-publication peer review, some concerns were raised on the terminology used in the results, discussion & related analysis. Some dates were reported incorrectly & there were some inconsistencies in reporting vaccine brand names. In addition, some unintentional errors have been found in the paper typesetting. The retraction has been agreed by all panel of authors mentioned in the paper, so that the necessary corrections and completing the analysis are being made properly.
Keywords	Public aspects of medicine ; RA1-1270
Subject code	001
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	Tehran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Effect of COVID-19 Vaccination on Reducing the Risk of Infection, Hospitalization, and Death in Isfahan Province, Iran

Ziba Taherian / Mostafa Rezaei / Asefeh Haddadpour / Zahra Amini

Iranian Journal of Public Health, Vol 51, Iss

2022 Volume 1

Abstract: Background: We aimed to evaluate the effect of COVID-19 vaccines in preventing infection, hospitalization, and mortality due to COVID-19 in Isfahan Province, Iran. Methods: Following a retrospective cohort design, data of all vaccinated individuals since ...

Abstract	Background: We aimed to evaluate the effect of COVID-19 vaccines in preventing infection, hospitalization, and mortality due to COVID-19 in Isfahan Province, Iran. Methods: Following a retrospective cohort design, data of all vaccinated individuals since the rollout of vaccination of the general population are analyzed, Mar 2020 to Aug 13, 2021. Moreover, the data of all non-vaccinated people were collected by the census method for this period. The two groups were compared concerning hospitalization and mortality using the Chi-square test. Kaplan-Meyer was also used to calculate the median interval between receiving a vaccine and outcome (hospitalization and death). Results: Overall, 583434 people have received a second dose of a vaccine from Mar 2020 to Aug 2021, which 74% (n=433403) was Sinopharm, 18.2% (n=106027) AstraZeneca, 3.6% (n=21216) Sputnik, and 3.9% (n=22,788) Barekat. In contrast, 2,551,140 people living in the Isfahan Province did not receive a vaccine. The median interval between injection of the first dose and the hospitalization for those who received Sinopharm, AstraZeneca, Sputnik, and Barekat was 22, 61, 19, and 19 days, respectively. For unvaccinated cases, the rates of infection, hospitalization, and mortality (per 1000 population) were 69.7, 12.1, and 1.04, respectively. In contrast, for vaccinated individuals, these rates were 3.9, 1.08, and 0.09, two weeks after the second dose, respectively. Conclusion: The highest and lowest reduction in relative risk was for those who received AstraZeneca and Sputnik, respectively.
Keywords	Vaccine ; COVID-19 ; Hospitalization ; Mortality ; Iran ; Public aspects of medicine ; RA1-1270
Subject code	310
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Tehran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis

Zahra Amini Farsani / Volker J. Schmid

Entropy, Vol 24, Iss 155, p

2022 Volume 155

Abstract: Background : For the kinetic models used in contrast-based medical imaging, the assignment of the arterial input function named AIF is essential for the estimation of the physiological parameters of the tissue via solving an optimization problem. ... ...

Abstract	Background : For the kinetic models used in contrast-based medical imaging, the assignment of the arterial input function named AIF is essential for the estimation of the physiological parameters of the tissue via solving an optimization problem. Objective : In the current study, we estimate the AIF relayed on the modified maximum entropy method. The effectiveness of several numerical methods to determine kinetic parameters and the AIF is evaluated—in situations where enough information about the AIF is not available. The purpose of this study is to identify an appropriate method for estimating this function. Materials and Methods : The modified algorithm is a mixture of the maximum entropy approach with an optimization method, named the teaching-learning method. In here, we applied this algorithm in a Bayesian framework to estimate the kinetic parameters when specifying the unique form of the AIF by the maximum entropy method. We assessed the proficiency of the proposed method for assigning the kinetic parameters in the dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), when determining AIF with some other parameter-estimation methods and a standard fixed AIF method. A previously analyzed dataset consisting of contrast agent concentrations in tissue and plasma was used. Results and Conclusions : We compared the accuracy of the results for the estimated parameters obtained from the MMEM with those of the empirical method, maximum likelihood method, moment matching (“method of moments”), the least-square method, the modified maximum likelihood approach, and our previous work. Since the current algorithm does not have the problem of starting point in the parameter estimation phase, it could find the best and nearest model to the empirical model of data, and therefore, the results indicated the Weibull distribution as an appropriate and robust AIF and also illustrated the power and effectiveness of the proposed method to estimate the kinetic parameters.
Keywords	kinetic model ; modified maximum entropy method ; arterial input function ; optimization method ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
Subject code	310
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Superluminal light propagation in a normal dispersive medium.

Sabegh, Zahra Amini / Mahmoudi, Mohammad

Optics express

2021 Volume 29, Issue 13, Page(s) 20463–20476

Abstract: The propagation of a Laguerre-Gaussian (LG) beam through a dispersive medium is investigated. The effect of the doughnut-like intensity profile of the probe LG beam on the group velocity is studied. We find an analytical expression for the group velocity ...

Abstract	The propagation of a Laguerre-Gaussian (LG) beam through a dispersive medium is investigated. The effect of the doughnut-like intensity profile of the probe LG beam on the group velocity is studied. We find an analytical expression for the group velocity out of the optical axis and compare with its projection onto the propagation axis. It is turned out that the group velocity vector is along the optical axis at the waist of the beam and the Rayleigh range. We numerically and analytically investigate the effect of the helical phase front of the coupling LG field on the group velocity of the probe LG field in a four-level double V-type quantum system. Our analysis predicts a strange behavior for the group velocity of the probe LG beam inside a normal dispersive medium in the gain region so that it can exceed the speed of light in free space, leads to the gain-assisted superluminal light propagation in normal dispersion. Such an unusual propagation of the LG beam results from the distortion of its helical phase front via the classical interference of the planar and LG fields. The obtained results may find some potential applications in increasing the velocity of the information transmission in optical communications.
Language	English
Publishing date	2021-07-13
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.424860
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The effect of training of information processing approach on self-confidence in girl students in vocational schools in Isfahan, Iran

Fahimeh Amini / Zahra Amini-Pozveh

Chronic Diseases Journal, Vol 8, Iss 3, Pp 112-

2020 Volume 116

Abstract: BACKGROUND: Self-confidence is one of the main aspects of mental health during adolescence, which is essential for achieving goals. The purpose of this study is to investigate the effectiveness of training information processing approach on self- ... ...

Abstract	BACKGROUND: Self-confidence is one of the main aspects of mental health during adolescence, which is essential for achieving goals. The purpose of this study is to investigate the effectiveness of training information processing approach on self-confidence in female students of vocational schools in Isfahan, Iran. METHODS: This randomized control trial study was conducted on 50 adolescent female students in Isfahan in academic year 2016-2017. The Eysenck self-esteem scale (ESES) was used to assess self-esteem among the students. Training the information processing approach was performed on the experimental group. Data were analyzed by SPSS software using paired sample t-test, independent t- test, and Kolmogorov-Smirnov (K-S) test. RESULTS: The scores of the students’ self-confidence in the experimental group increased compared to the control group (P ≤ 0.050). CONCLUSION: According to the results of this study, training information processing approach is effective on self-confidence in female students of vocational schools in Isfahan. It is suggested to consider the training information processing approach along with other approaches.
Keywords	information processing ; self-confidence ; students ; Medicine ; R
Subject code	796
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	Vesnu Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Co-localization analysis in fluorescence microscopy via maximum entropy copula.

Farsani, Zahra Amini / Schmid, Volker J

The international journal of biostatistics

2020 Volume 17, Issue 1, Page(s) 165–175

Abstract: Co-localization analysis is a popular method for quantitative analysis in fluorescence microscopy imaging. The localization of marked proteins in the cell nucleus allows a deep insight into biological processes in the nucleus. Several metrics have been ... ...

Abstract	Co-localization analysis is a popular method for quantitative analysis in fluorescence microscopy imaging. The localization of marked proteins in the cell nucleus allows a deep insight into biological processes in the nucleus. Several metrics have been developed for measuring the co-localization of two markers, however, they depend on subjective thresholding of background and the assumption of linearity. We propose a robust method to estimate the bivariate distribution function of two color channels. From this, we can quantify their co- or anti-colocalization. The proposed method is a combination of the Maximum Entropy Method (MEM) and a Gaussian Copula, which we call the Maximum Entropy Copula (MEC). This new method can measure the spatial and nonlinear correlation of signals to determine the marker colocalization in fluorescence microscopy images. The proposed method is compared with MEM for bivariate probability distributions. The new colocalization metric is validated on simulated and real data. The results show that MEC can determine co- and anti-colocalization even in high background settings. MEC can, therefore, be used as a robust tool for colocalization analysis.
MeSH term(s)	Biological Phenomena ; Entropy ; Microscopy, Fluorescence
Language	English
Publishing date	2020-09-18
Publishing country	Germany
Document type	Journal Article
ISSN	1557-4679
ISSN (online)	1557-4679
DOI	10.1515/ijb-2019-0019
Database	MEDical Literature Analysis and Retrieval System OnLINE

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