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مرکز اطلاعات علمی SID1
اسکوپوس
دانشگاه غیر انتفاعی مهر اروند
ریسرچگیت
strs
Issue Info: 
  • Year: 

    2017
  • Volume: 

    23
  • Issue: 

    152
  • Pages: 

    46-53
Measures: 
  • Citations: 

    608
  • Views: 

    1294
  • Downloads: 

    749
Abstract: 

Background: Cardiovascular Diseases (CVD) are the leading cause of death in Iran. We need a suitable clinical guideline to prevent and control CVD.Methods: We selected final guideline in 4 steps and started with searching electronic resources, related webs and data banks. After initial assessment, we applied Appraisal of Guidelines for Research & Evaluation II (AGREE) appraisal instrument to appraise selected guidelines. Finally ADAPTATION process of guideline finished with extraction of main questions and recommendations.Results: Recommendations are provided in 2 parts: life style management and clinical-therapeutic guides for hyperlipidemia and hypertension. People are advised to have moderate to severe aerobic physical activities 3-4 times weekly for 40 minutes per session. For primary prevention, non- diabetic people with LDL-C ranges 170-189 mg/dl, should consume statins. Also we advised them to estimate cardio vascular 10 years risks with their health providers. Conclusion: Dietary patterns reduce blood pressure independently in comparison with low diet sodium and weight reduction. We must encourage people to adjust recommended dietary plans with their cultural and personal preferences.

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Issue Info: 
  • Year: 

    2019
  • Volume: 

    16
  • Issue: 

    3 (41)
  • Pages: 

    129-148
Measures: 
  • Citations: 

    0
  • Views: 

    410
  • Downloads: 

    227
Abstract: 

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applications suffer from a limited number of training labeled data and therefore benefit from the related available labeled datasets to train the model. In this way, since there is the distribution difference across the source and target domains (domain shift problem), the learned classifier on the training set might perform poorly on the test set. Transfer learning and domain ADAPTATION are two outstanding solutions to tackle this challenge by employing available datasets, even with significant difference in distribution and properties, to transfer the knowledge from a related domain to the target domain. The main assumption in domain shift problem is that the marginal or the conditional distribution of the source and the target data is different. Distribution ADAPTATION explicitly minimizes predefined distance measures to reduce the difference in the marginal distribution, conditional distribution, or both. In this paper, we address a challenging scenario in which the source and target domains are different in marginal distributions, and the target images have no labeled data. Most prior works have explored two following learning strategies independently for adapting domains: feature matching and instance reweighting. In the instance reweighting approach, samples in the source data are weighted individually so that the distribution of the weighted source data is aligned to that of the target data. Then, a classifier is trained on the weighted source data. This approach can effectively eliminate unrelated source samples to the target data, but it would reduce the number of samples in adapted source data, which results in an increase in generalization errors of the trained classifier. Conversely, the feature-transform approach creates a feature map such that distributions of both datasets are aligned while both datasets are well distributed in the transformed feature space. In this paper, we show that both strategies are important and inevitable when the domain difference is substantially large. Our proposed using sample-oriented Domain ADAPTATION for Image Classification (DAIC) aims to reduce the domain difference by jointly matching the features and reweighting the instances across images in a principled dimensionality reduction procedure, and construct new feature representation that is invariant to both the distribution difference and the irrelevant instances. We extend the nonlinear Bregman divergence to measure the difference in marginal, and integrate it with Fisher’ s linear discriminant analysis (FLDA) to construct feature representation that is effective and robust for substantial distribution difference. DAIC benefits pseudo labels of target data in an iterative manner to converge the model. We consider three types of cross-domain image classification data, which are widely used to evaluate the visual domain ADAPTATION algorithms: object (Office+Caltech-256), face (PIE) and digit (USPS, MNIST). We use all three datasets prepared by and construct 34 cross-domain problems. The Office-Caltech-256 dataset is a benchmark dataset for cross-domain object recognition tasks, which contains 10 overlapping categories from following four domains: Amazon (A), Webcam (W), DSLR (D) and Caltech256 (C). Therefore 4 × 3 = 12 cross domain ADAPTATION tasks are constructed, namely A → W, . . ., C → D. USPS (U) and MNIST (M) datasets are widely used in computer vision and pattern recognition tasks. We conduct two handwriting recognition tasks, i. e., usps-mnist and mnist-usps. PIE is a benchmark dataset for face detection task and has 41, 368 face images of size 3232 from 68 individuals. The images were taken by 13 synchronized cameras and 21 flashes, under varying poses, illuminations, and expressions. PIE dataset consists five subsets depending on the different poses as follows: PIE1 (C05, left pose), PIE2 (C07, upward pose), PIE3 (C09, downward pose), PIE4 (C27, frontal pose), PIE5 (C29, right pose). Thus, we can construct 20 cross domain problems, i. e., P1 → P2, P1 → P3, . . ., P5 → P4. We compare our proposed DAIC with two baseline machine learning methods, i. e., NN, Fisher linear discriminant analysis (FLDA) and nine state-of-the-art domain ADAPTATION methods for image classification problems (TSL, DAM, TJM, FIDOS and LRSR). Due to these methods are considered as dimensionality reduction approaches, we train a classifier on the labeled training data (e. g., NN classifier), and then apply it on test data to predict the labels of the unlabeled target data. DAIC efficiently preserves and utilizes the specific information among the samples from different domains. The obtained results indicate that DAIC outperforms several state of-the-art ADAPTATION methods even if the distribution difference is substantially large.

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Issue Info: 
  • Year: 

    2010
  • Volume: 

    46
  • Issue: 

    5
  • Pages: 

    85-100
Measures: 
  • Citations: 

    0
  • Views: 

    1851
  • Downloads: 

    913
Abstract: 

This article is about ADAPTATION of Iranian cinema of contemporary narrative literature and tries to analyze the relation between these two media statistically during the past years. By focusing on these adapted movies, it also introduces the influential writers and directors. Finally, one of the acceptable cases of this trend , The Boots directed by Mohammad Ali Talebi based on a short story with the same title written by Houshang Moradi Kermani, is criticized individually and the notes used in this ADAPTATION are introduced on the basis of references.

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گارگاه ها آموزشی
Author(s): 

JALALI M. | POURKHALEGHI M.

Issue Info: 
  • Year: 

    2014
  • Volume: 

    4
  • Issue: 

    2 (8)
  • Pages: 

    1-18
Measures: 
  • Citations: 

    0
  • Views: 

    1801
  • Downloads: 

    1502
Abstract: 

In recent times, cultural practices have led children's literature into the domain of classical literature. Shahnameh as the most widely used classical masterpiece of Persian language has been introduced to Iranian children's literature. This paper discusses different ADAPTATIONs of this classical epic for children and adolescents. This research shows that there are many varied and different types; however, the vast majority of ADAPTATIONs are rewritings of the text. Reproductions, abridgment, revision and selective writing of the text of Shahnameh are not that frequent in comparison to other types. It is argued that adaption from verse to prose is the best and the easiest to do.

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Issue Info: 
  • Year: 

    2012
  • Volume: 

    24
  • Issue: 

    74
  • Pages: 

    63-71
Measures: 
  • Citations: 

    0
  • Views: 

    843
  • Downloads: 

    336
Abstract: 

Background & Aims: Increasing number of retirees and improved life expectancy has been resulted in increased retirement years. The status of Iranian nurses seems to be different from nurses in other countries; yet no model has been proposed regarding the ADAPTATION of nurses with retirement. The aim of this study was to propose an ADAPTATION model for retired nurses.Material & Methods: It was a qualitative grounded theory study. The participants were 20 retired nurses from Semnan city who were recruited by purposeful and theoretical sampling. In the first stage data was generated by semi- structured interviews. Field notes were also used as data. Data collection and analysis by constant comparison was done simultaneously using Strauss and Corbin method. In the second stage, the model of ADAPTATION with retirement was composed using the themes emerged in the first stage and literature review according to the Walker and Avant method.Results: the proposed Model included some stages for nurses’ ADAPTATION with retirement: preparation for the experience of retirement, identity reconstruction strengthening, optimum use of supportive factors, attention to negative interactions, and providing facilities for a normal life.Conclusion: Since retirement is not a mono- stage, simple transition process, but is an ADAPTATION process that occurs during time, the proposed model would help nurse retirees to control stressors and imbalances in their lives and adapt with retirement successfully.

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Issue Info: 
  • Year: 

    2006
  • Volume: 

    16
  • Issue: 

    54
  • Pages: 

    58-67
Measures: 
  • Citations: 

    15
  • Views: 

    6054
  • Downloads: 

    2252
Abstract: 

Data collection is one of the important stages of research requiring valid and reliable instruments. Most of the time, researchers try to design questionnaires or translate valid and reliable instruments. In medical studies, researchers need to use translated instruments. The important issue in this regard is to consider some facts and the process that keeps the original concept and meaning of a questionnaire. In this way using questionnaires at different societies with different cultures would be useful.There are different methods to translate questionnaires with cross-cultural ADAPTATION but, in Iran little evidence exists in this regard. In this article, a guideline for translation is presented. Stages of translation with cross-cultural ADAPTATION include preparation, forward translation, reconciliation of forward translation, back translation of reconciliation, back translation review, cognitive debriefing and finalization, proof reading and final report, each discussed in detail.

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strs
Issue Info: 
  • Year: 

    2009
  • Volume: 

    1
  • Issue: 

    4
  • Pages: 

    21-27
Measures: 
  • Citations: 

    0
  • Views: 

    1098
  • Downloads: 

    209
Abstract: 

In this paper we studied technique of power RF amplifier linearization predistortion digital circuits and propose a method for adapting this circuit and compare the advantages and disadvantages of this circuit with conventional predistortion circuit. The main problem with predisrortion circuit is the memory effect. We purpose a new circuit to overcome disrortion and memory effect problems based on DSP. Finally we compare results of our simulation with previous results. Our simulation shows a significant reduction in power ratio of adjacent channels.

Yearly Impact:

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Issue Info: 
  • Year: 

    2022
  • Volume: 

    8
  • Issue: 

    4
  • Pages: 

    10-20
Measures: 
  • Citations: 

    0
  • Views: 

    44
  • Downloads: 

    121
Abstract: 

Introduction: As one of the chronic diseases, epilepsy can affect children's self-steam and life satisfaction by lowering self-steam, that leads to social isolation, reduced self-efficacy and finally affects their ADAPTATION to the disease. Therefore, the aim of this study was to determine the relationship between demographic characteristics (individual and clinical) and ADAPTATION (based on ROY ADAPTATION model) with adherence to treatment in adolescents with epilepsy. Methods: In this descriptive-analytical study, 111 adolescents aged 10-20 years with epilepsy referred to the Isfahan Epilepsy Association were studied based on inclusion criteria. Demographic characteristics, Roy ADAPTATION and adherence to treatment questionnaire were use to collected data. Results: The results showed that except the age of participants (p=0. 038), the overall score of treatment adherence was not significantly associated with none of the demographic and clinical characteristics items of the participants (p>0. 05). Also, there was a significant direct correlation between the overall score of treatment adherence and the overall score of ADAPTATION which means that increasing overall score of treatment adherence leads to increasing in the overall score of ADAPTATION(R=0. 197، P=0. 019). Also the overall score of treatment adherence had a direct and meaningful correlation with the score of ADAPTATION aspects. Conclusions: Regarding the mentioned results, interventions which increase adolescents’,ADAPTATION with their disease can promote their adherence.

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Journal: 

MODERN CARE JOURNAL

Issue Info: 
  • Year: 

    2013
  • Volume: 

    10
  • Issue: 

    4
  • Pages: 

    231-240
Measures: 
  • Citations: 

    609
  • Views: 

    2799
  • Downloads: 

    803
Abstract: 

Background and Aim: Heart failure is a chronic disease that affects the physical and psychological aspects of life. Psychological ADAPTATION of patients needs follow-up and training. The purpose of this study was to determine the effectiveness of an educational program based on Roy ADAPTATION model on the psychological ADAPTATION in patients with heart failure.Materials and Methods: This clinical randomized trial was performed on 60 patients with heart failure admitted in Vali-e-Asr Hospital and Heart Research Center in Birjand in 2013. The patients were selected through the convenience sampling and randomly allocated to an intervention group and a control group (30 individuals in each group). The data was collected using Roy assessment form and Mental Health Inventory (MHI-38) whose reliability are confirmed in previous studies. The content validity of the Mental Health Inventory was first confirmed. Later, in order to check for its reliability, it was given to 20 individuals for which Chronbach's alpha was 0.91. The intervention group received an educational program based on maladaptive behavior and stimuli which was followed by a follow-up period of one month. The control group received the regular service. The data were analyzed in SPSS (version 15) using independent t test, paired t test, Mann Whitney, Wilcoxon, Fisher Exact Test, and Chi square.Results: Mean scores for maladaptive behaviors and the number of maladaptive behaviors showed no significant differences before the intervention, while the difference was significant after the intervention in the two groups (p<0.001). In the intervention group, the dimensions that had significant decrease included physiological (p<0.001), self-concept (p<0.001), interdependence (p<0.004), and role function (p<0.001). The psychological ADAPTATION scores mean significantly increased in the intervention group (p<0.001). However, there was no significant difference in the control group in the different dimensions (p>0.05).Conclusion: Using an educational program based on Roy ADAPTATION model can be effective on the psychological ADAPTATION and reduction of maladaptive behaviors in patients with heart failure. In this regard, nurses can play a more effective role in improving the psychological ADAPTATION of patients using the educational program.

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Journal: 

DANESHVAR MEDICINE

Issue Info: 
  • Year: 

    2011
  • Volume: 

    18
  • Issue: 

    92
  • Pages: 

    25-34
Measures: 
  • Citations: 

    2
  • Views: 

    1843
  • Downloads: 

    398
Abstract: 

Background and Objective: Applying “Roy’s ADAPTATION model" and care planning based on its principles for diabetic patients needs careful assessment. Since there has not been any study in this field, so, this study was done in order to evaluate the effect of nursing care plan based on “Roy’s ADAPTATION model” on physiologic ADAPTATION in type II diabetics.Materials and Methods: The study was a quasi experimental, in two before and after groups that was done in Parsian Diabetes Foundation in Mashhad in 2009. Samples were 60 diabetic patients selected non-randomly and allocated randomly into two groups. For data gathering, “Roy,s assessment form” and HgA1C test were used. In “Roy’s assessment form”, maladaptive behaviors (immobility, insomnia & etc.) and their stimulators in physiological domain were determined. Then, nursing care plan designed on obtained results and implemented for 2.5 months and a one month follow-up. Then, data repeatedly gathered and analyzed by “Chi-square test, t- test and Wilcocxon test” in SPSS17.Results: Analyzing demographic data in two groups with Chi-square test (x2) showed that they were matched (p>0.05). Comparison of HgA1c before and after intervention in case group by paired t-test showed a significant difference (p>0.05). Also, Wilcoxon test showed (p>0.05) a reduction of maladaptive behaviors in case group after intervention.Conclusion: Applying the "care plan design" based on “Roy’s ADAPTATION model” for increasing physiological ADAPTATION in type II diabetic patients is strongly recommended.

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