amirreza moradi
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Introduction
Hugo point massage is a non-pharmacological method suggested to reduce pain, commonly experienced after invasive procedures. This study aimed to assess the effect of Hugo point massage on pain caused by venous catheterization.
Materials and MethodsIn this double-blinded RCT, 68 surgical candidates meeting the inclusion and exclusion criteria were randomly assigned to control and intervention groups via dice rolling. The intervention group received a three-minute Hugo point massage before venipuncture in the antecubital area, performed by a nurse. The control group underwent standard venipuncture by the same nurse. Pain was assessed using the Numerical Pain Rating Scale (NPRS) before, during, and five minutes after venipuncture. Statistical analyses, including Chi-square, Repeated Measure ANOVA, Fisher's Exact Test, Post Hoc, and Kolmogorov-Smirnov tests, were conducted using SPSS v.16 with a significance level of P<0.05.
ResultsThe mean age of participants was 51.47 ± 4.28 years. Pain intensity scores (Mean ± SD) were significantly lower in the intervention group (4.33±0.42) compared to the control group (8.21±1.03). No significant differences were observed between the groups before the intervention, but a significant reduction in pain was noted five minutes after venipuncture in the intervention group (P<0.05).
ConclusionA three-minute Hugo point massage before venipuncture significantly reduces catheterization pain.
Keywords: Acupressure, Catheterization, Massage, Pain -
Introduction
Heart failure (HF) is a prevalent and advancing cardiovascular disorder that impacts 1-2% of the worldwide population, particularly the elderly. Studies indicate that the intravenous administration of apelin may yield advantageous effects in preventing heart failure subsequent to myocardial injury. This meta-analysis aimed to assess the effects of exogenous apelin administration on heart failure in animal models, in light of the lack of a definitive consensus on the matter.
MethodsAn extensive search was performed in theMedline (via PubMed),Web of Science, Embase, and Scopus databases till the end of January 2024. Two independent reviewers screened and summarized the relevant articles. Outcomes related to cardiac function, including ejection fraction (EF), maximum and minimumrate of left ventricle systolic pressure (+dp/dt and –dp/dt, respectively), heart rate, left ventricular end-diastolic pressure (LVEDP), and left ventricular systolic pressure (LVSP) were assessed. Findings were reported as a pooled standardized mean difference (SMD) with a 95% confidence interval (95% CI).
Results12 studies were included. Pooled analysis demonstrated that early treatment with apelin following myocardial injury significantly increases +dp/dt (SMD = 2.36; 95% CI: 1.58 to 3.15; p < 0.001) and decreases -dp/dt (SMD = -3.31; 95% CI: -4.46 to -2.17; p < 0.001). Furthermore, the administration of apelin resulted in a significant increase in EF (SMD = 0.79; 95% CI: 0.15 to 1.44; p = 0.02) and LVSP (SMD = 2.09; 95% CI: 0.82 to 3.36; p < 0.001), while it led to a decrease in LVEDP in the animals (SMD = -1.85; 95% CI: -2.81 to -0.88; p < 0.001). Noteworthy, apelin treatment was shown to have no significant influence on the heart rate of the animals (SMD = -0.12; 95% CI: -0.82 to -0.58; p = 0.73).
ConclusionsThe current study demonstrated that the early administration of apelin has the potential to improve cardiac function and mitigate the onset of heart failure subsequent to myocardial injury. Further, in vivo research is essential to lay the groundwork for the integration of apelin into clinical practice.
Keywords: Apelin, Myocardial Ischemia Reperfusion Injury, Myocardial Infarction, Heart Failure -
The applicability of the Gravity Recovery and Climate Experiment (GRACE) level 1B range-rate data to detect gravity changes caused by significant earthquakes (M6.0-6.9) has been investigated. The most common product of the GRACE mission is the level 2, science data, as the spherical harmonic Stokes’ coefficients of the geopotential. These coefficients have been generated from Level 1B data, resulting in missing some information during the smoothing process. In this study, the GRACE level 1B K-band range-rate measurements over three selected cells in Iran were analyzed, including two cells containing the epicenters of the Borujerd earthquake (6.1 Mw) and the Zarand earthquake (6.4 Mw), which occurred on March 31, 2006, and February 22, 2005, respectively, and one cell far enough from those two cells. Additionally, the range-rate time series attributed to Iran's main catchments containing the aforementioned zones have been extracted to distinguish between the impacts of earthquakes and hydrology on the range-rate time series. Besides, the impact of factors other than earthquakes, such as tides and non-gravitational accelerations acting on the GRACE satellites has been corrected. To better explore the extracted signals, their details have been derived using wavelet transforms, and the corresponding anomalies have been detected using the boxplot method. The considerable anomalies observed in areas within or near the epicenters of earthquakes before and after the events indicate that the GRACE and GRACE Follow-On range-rate time series can be considered as potential precursors to a major earthquake.
Keywords: Grace, Strong earthquake, Wavelet transformation, Boxplot, Iran -
Due to the high-power consumption and complexity of fully digital baseband precoding, its implementation in massive millimeter-wave multiple-input multiple-output (MIMO) systems is not cost-efficient and practical; for this reason, hybrid precoding has attracted a lot of attention in recent years. Most hybrid precoding techniques concentrate on the fully-connected structure, although they require lots of phase shifters, which is high energy-consuming. On the contrary, the partially-connected structure has low power consumption, nevertheless, suffers from a severe decrease in spectral efficiency (SE). To enhance SE, this paper proposed a dynamic hybrid precoding structure where a switch network is able to provide dynamic connections from phase shifters to radio frequency (RF) chains. To determine the digital precoder and the states of switch, a novel alternating minimization algorithm is proposed, which leverages closed-form solutions at each iteration to efficiently converge to an optimal solution. Furthermore, the phase shifter matrix is optimized through an iterative solution. The simulation results show that in terms of SE, the proposed algorithm with a dynamic structure achieves higher performance than the partial structure. Also, since the proposed structure reduces the number of phase shifters, it can guarantee better energy efficiency (EE) than the fully connected structure.
Keywords: Massive MIMO, Spectral efficiency, Hybrid precoding, mmWave communication, Energy efficiency -
The use of millimeter wave (mmWave) massive multiple input multiple output (Ma-MIMO) systems makes it possible to meet the essential needs of future generation wireless systems and solve the impending wireless network crisis. The mmWave Ma-MIMO Technique offers higher numbers of antennas and carrier frequencies. Hybrid precoding is considered as a key technique for the practical deployment of mmWave Ma-MIMO systems, since it significantly decreases the implementation costs, energy consumption, and hardware complexity. The large using of mmWave Ma-MIMO technologies in future generation wireless systems, causes imperative develop cost-effective hybrid precoding solutions that match the various application cases of these systems. The fully-connected structure can offer spectral efficiency (SE) close to the fully-digital precoding but, unfortunately with high energy consumption. Furthermore, the sub-connected structure with reduced power consumption, provides poor SE. Therefore, the trade-off between SE and energy efficiency (EE), can be made, and in this paper, we consider an adaptive sub-connected (ASC) hybrid precoding structure, where a switch network is able to provide dynamic connections from phase shifters to radio frequency (RF)chains. The simulation results indicate that in terms of SE, the proposed algorithm with ASC structure obtains higher performance than the sub-connected structure. As a result, since the ASC structure reduces the number of phase shifters, it can offer a better EE compared to the sub-connected structure.
Keywords: ASC Structure, Energy Efficiency, Hybrid Precoding, mmWave Ma-MIMO, Spectral Efficiency -
آگاهی از دانش و نگرش گروداران مراتع نسبت به مشکلات و مدیریت این اکوسیستم، برای تصمیم سازی و برنامه ریزی ضروریست. هدف این پژوهش، ارزیابی دیدگاه مرتع داران و کارشناسان منابع طبیعی نسبت به تاثیر اجرای طرح های مرتع داری و همچنین مشارکت و همکاری آنان در موفقیت اجرای این طرح هاست. منطقه مورد مطالعه، شهرستان تربت جام بوده است. با بررسی طرح های مرتع داری شهرستان تربت جام از سال 1372 تا 1393، مشخص شد که پنج طرح بشیرآباد، چشمه گل، گوی، تیمنک سفلی و جهان آباد اجرا شده اند. جامعه آماری پژوهش شامل 464 بهره بردار بوده که در واقع مرتع داران دارای پروانه چرا هستند. به کمک فرمول کوکران، 186 نمونه به صورت تصادفی سیستماتیک انتخاب و مورد پرسشگری قرار گرفتند. پس از تجزیه وتحلیل آماری داده ها و با بررسی کلیه متغیرها و مولفه های سنجیده شده، مشخص شد که میان دیدگاه گروداران منطقه و عوامل اقتصادی، آموزشی، مشارکت اجتماعی و همچنین همکاری نهادی یک رابطه معنی دار خطی وجود دارد. نتایج نشان داد که مهمترین مولفه های موثر بر دیدگاه گروداران برای مشارکت در طرح های مرتع داری، بررسی نیازهای اقتصادی و اجتماعی قبل از تصویب طرح و تصویب طرح ها مطابق با نیاز روستاییان ازجمله تامین درآمد و مسکن و انتخاب مجری از میان گروداران است. بنابراین پیشنهاد می شود برای بهبود نتایج طرح های آبخیزداری در منطقه مورد مطالعه، هماهنگی مستمر میان ادارات ترویج شهرستان ها برای برگزاری کلاس های توجیهی، آموزشی و همکاری محور در زمینه مرتع داری صحیح در دستورکار قرار گیرد.
کلید واژگان: حفاظت مشارکتی محلی، مشارکت روستایی، مشارکت گروداران، مدیریت مراتعAwareness of knowledge and attitude of rangeland owners towards the problems and management of this ecosystem is essential for decision making and planning. The purpose of this study is to evaluate the views of rangers and natural resources experts on the impact of the implementation of rangeland projects as well as their participation and cooperation in the success of these projects. The study area was the city of Torbat-e Jam. Examining the rangeland management plans of Torbat-e-Jam city from 1993 to 2014, it was found that five plans in Bashirabad, Cheshmeh Gol, Goyi, Timanak Sofla, and Jahanabad areas have been implemented. The statistical population of the study includes 464 farmers who are pastoralists with grazing licenses. Using Cochran's formula, 186 samples were systematically randomly selected and questioned. Then, from the statistical analysis of the data and by examining all the measured variables and components, it was found that there is a significant linear relationship between the views of regional stakeholders and economic, educational, social participation, and institutional cooperation. The results showed that the most important components affecting the view of stakeholders to participate in rangeland projects are the study of economic and social needs before the approval of projects and approval of projects following the needs of villagers, including income and housing, and selection of executors from among stakeholders. It is suggested that to improve the results of watershed management projects in the study area, continuous coordination between the extension departments of the cities to hold orientation, training, and cooperation-oriented classes in the field of proper rangeland management should be on the agenda.
Keywords: Local participatory conservation, Rural participation, Stakeholder participation, rangeland management -
سابقه و هدف
یکی از اساسی ترین مشکلات امروز دنیا، بحث آلودگی هوا و اثرات آن بر سلامت انسان است. کشور در حال توسعه ایران هم از این امر مستثنی نمی باشد. وجود آلاینده هایی همچون دی اکسید نیتروژن، دی اکسید گوگرد، مونوکسید کربن و ذرات معلق (آیروسل ها) علاوه تاثیرات مخرب جدی بر سلامتی انسان، باعث آسیب به پوشش گیاهی و بروز تغییرات اقلیمی جهانی می شود، لذا لزوم پایش جامع آلاینده ها و به تبع آن اتخاذ تصمیمات صحیح مدیریتی جهت مقابله با این بحران ضروری به نظر می رسد. یکی از ابزارهای قدرتمند در پایش آلودگی هوا، روش های مبتنی بر سنجش از دور می باشد. سنتینل-5 آخرین پروژه سازمان فضایی اتحادیه اروپا می باشد (با همکاری کشور هلند) که با استفاده از سنجنده (TROPOMI) تصاویری در باندهای طیفی متنوع اخذ می کند و ابزاری بسیار مناسب جهت پایش بسیاری از آلاینده های هوا محسوب می گردد.
مواد و روش هادر این مطالعه، پایشی جامع بر اساس مقادیر برخی از مهم ترین آلاینده های هوا از جمله دی اکسید نیتروژن، دی اکسید گوگرد، مونوکسید کربن و ذرات معلق، با استفاده از تصاویر ماهواره سنتینل-5 برای 20 شهر بزرگ و صنعتی ایران در سال 2019 و 2020 صورت گرفته است. در این پژوهش، از تعداد بالایی تصویر سطح سه که از طریق موتور گوگل ارث (Google Earth Engine) فراخوانی شده اند، استفاده شده است. صحت پایش صورت گرفته با استفاده از ایستگاه های ثبت آلاینده های زمینی مورد ارزیابی قرار گرفته است.
نتایج و بحثنتایج این ارزیابی نشان می دهد که مقادیر پایش با استفاده از تصاویر ماهواره سنتینل-5 حداقل 78% با مقادیر پایش شده توسط ایستگاه های زمینی همبستگی دارد. بنابراین می توان از پتانسیل بالای تصاویر ماهوره سنتینل-5 در مطالعات کلان مدیریتی با هدف کاهش آلاینده های هوا استفاده نمود. پایش صورت گرفته بوسیله تصاویر ماهواره سنتینل-5 نشان می دهد که در سال 2019، تهران آلوده ترین هوا را به لحاظ مجموع گازهای مونوکسید کربن، دی اکسید نیتروژن، دی اکسید گوگرد و ذرات معلق (گرد و غبار) داشته است. همچنین زنجان کمترین میزان آلودگی را در مقایسه با سایر شهرستان های مورد مطالعه داشته است. در سال 2020، باز هم تهران به عنوان آلوده ترین شهر ایران شناخته می شود. در این سال نیز هوای زنجان در قیاس با سایر شهرستان های مورد مطالعه وضعیت بهتری داشته است. مشاهده می شود که کرج و کرمانشاه در سال 2020 در مقایسه با سال 2019 افزایش آلودگی هوای قابل توجهی داشته اند. از دیگر نتایج مهم این تحقیق این است که در مجموع میزان آلودگی هوا در سال 2020 در مقایسه با سال 2019 با روندی کاهشی مواجه شده است که شاید یکی از مهمترین دلایل، تاثیرگذاری همه گیری ویروس کرونا در سال 2020 و کاهش نسبی (و البته اندک) فعالیت های صنعتی و کاهش ترافیک خودروها می باشد.
نتیجه گیریبه طور کلی، نتایج این تحقیق نشان داد که می توان با استفاده از تصاویر سنجنده (TROPOMI) نصب بر روی ماهواره سنتینل-5 به عنوان ابزای قدرتمند و در دسترس، با دقت قابل قبول، بصورت سیستماتیک آلاینده های هوای شهرهای کشور را پایش نمود و نتایج آن را در اختیار سایر محققین و یا مسیولین قرار داد تا از این نتایج در جهت تصمیم گیری های مناسب در مدیریت کلان شهرها و همچنین کشور بهره برد.
کلید واژگان: آلودگی هوا، تصاویر سنتنیل-5، سنجنده (TROPOMI)، شهرهای صنعتی ایرانIntroductionAir pollution and its negative effects on human health have become a major issue around the world, especially in developing countries and Iran. Contaminants such as nitrogen dioxide, sulfur dioxide, carbon monoxide, and aerosols, in addition to having significant negative health consequences, cause to damage vegetation and contribute to global climate change. Therefore, the comprehensive monitoring of pollutants and, consequently, appropriate management decisions to address the issue is required. Remote sensing methods, especially Sentinel-5, the European Space Agency's most recent project (in collaboration with the Netherlands), which allows for the capture of images in various spectral bands using a TROPOspheric Monitoring Instrument (TROPOMI)sensor, are recognized as a useful tool for monitoring various types of air pollutants.-
Material and methodsIn this analysis, the most significant air contaminants such as nitrogen dioxide, sulfur dioxide, carbon monoxide, and aerosol were monitored using Sentinel-5 satellite images for 20 major industrial cities in Iran in 2019 and 2020. A large number of level-3 images collected from Google Earth Engine were used in this research. Ground-based stations were used to verify the monitoring process.-
ResultsThe results show that monitoring values obtained using Sentinel-5 satellite images are at least 78 percent correlated with ground-based station values. As a result, it has been demonstrated that Sentinel-5 satellite images can be successfully used in management studies with the aim of reducing air pollution. Based on the results, it can also be inferred that, Tehran and Zanjan are respectively the most and the least polluted city in terms of total carbon monoxide, nitrogen dioxide, sulfur dioxide and dust in 2019. The same is true in 2020. It is also clear that air pollution levels in Karaj and Kermanshah increased significantly in 2020 compared to 2019. Another significant finding is that, in general, air pollution levels in 2020 are lower than in 2019. One significant explanation may be the effect of the Covid-19 pandemic in 2020, which resulted in a decrease in industrial activity and reduced traffic and congestion on the roads.-
ConclusionIn general, the results of this research showed that it is possible to systematically monitor the air pollutants using images captured by TROPOMI sensor on the Sentinel-5 satellite with acceptable accuracy. The results of this study can help researchers and urban managers for appropriate management in metropolitan areas.
Keywords: Air pollution, Sentinel-5 Images, TROPOMI, Industrial cities of Iran -
The Gravity Recovery and Climate Experiment (GRACE) mission and its successor, GRACE Follow-On, have been observing the Earth’s static and time-variable gravity field with unprecedented accuracy from 2002, thanks to the precision equipment used, such as very accurate ranging systems, dual-frequency GPS receivers, star cameras and highly sensitive accelerometers. The accelerometers on board of these missions provide high quality measurements of the non-gravitational forces acting on the satellites, provided that they are calibrated. In this paper, a wavelet-based detrending scheme is used to estimate drift and bias of GRACE accelerometer data. This method is applied to a simulated noisy time series and two sets of GRACE accelerometer data (recorded on January 1, 2005 and during March 2015). The results confirm the speed and ease of the proposed method due to the nature of the wavelet-based detrending scheme. The estimated bias and drift parameters have acceptable accuracies because the wavelet-based method does not require any reference value and its results are not affected by uncertainties in gravitational field modeling. Furthermore, some computational problems such as the amplification of noise during the numerical differentiation of satellite positions do not exist. In addition, the accelerometer readouts, provided in the Science Reference Frame (SRF), may be calibrated without applying any coordinate transformation.Keywords: Grace, Accelerometer calibration, wavelet transformation
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تولید مدل رقومی زمین با قدرت تفکیک و دقت ارتفاعی بالا همیشه یکی از مهم ترین اهداف سنجش از دور ماهواره ای بوده است. یکی از ارکان اصلی سنجش از دور ماهواره ای، سنجش از دور راداری می باشد. تولید مدل ارتفاعی رقومی از سطح زمین با استفاده از تداخل سنجی راداری به علت ویژگی های منحصر به فرد این تصاویر برای محققین جذاب است. در سال های اخیر پروژه های فضایی بسیاری آغاز به اخذ اطلاعات از سطح کره زمین کرده اند که یکی از آخرین آنها پروژه سنتینل می باشد. سنتینل-1 بخش راداری پروژه سنتینل است. مدل های رقومی حاصل از تداخل سنجی راداری به علت وجود خطاهای متنوع از جمله خطا در اطلاعات فازاینترفروگرام دارای خطا و گاهی اوقات اشتباه بزرگ در نقاط ارتفاعی می باشند. از اینرو مدل های رقومی حاصل از فرآیند تداخل سنجی راداری پس از تولید نیاز به بهبود دارند. در این مقاله روشی برای بهبود مدل رقومی ارتفاعی به دست آمده از تصاوی رسنتینل-1 با استفاده از مدل رقومی ارتفاعی موجود SRTM.(Shuttle Radar Topography Mission) و روشی بر اساس تبدیل موجک دو بعدی، پیشنهاد می شود. تصاویر مورد استفاده در این مقاله بخشی از شمال شهر تهران است. مدل ارتفاعی رقومی تولید شده با استفاده از روش پیشنهادی با مدل ارتفاعی رقومی مرجع یک متر با دقت ارتفاعی بالا مورد ارزیابی قرار می گیرد. نتایج مقاله نشان می دهند که روش پیشنهادی به شکل موثری در بهبود دقت مدل رقومی حاصل از تصاویر سنتینل-1 عمل می کند. با استفاده از این روش خطای مدل رقومی ارتفاعی به میزان قابل توجهی کاهش می یابد (30% الی 82%) و این بدین معنی می باشد که با حفظ قدرت تفکیک مدل رقومی حاصل از تصاویر سنتینل-1 می توان دقت ارتفاعی آن را به شکل محسوسی بهبود داد.
کلید واژگان: مدل رقومی ارتفاعی، تبدیل موجک دو بعدی، تداخل سنجی راداری، تصاویر سنتینل-1Introduction:Digital Elevation Model (DEM) is a physical representation of the earth and a way of determining its topography through a 3D digital model. DEMs with high spatial resolution and appropriate precision and accuracy of elevation are widely used in various applications, such as natural resource management, engineering, and infrastructure projects, crisis management and risk analysis, archaeology, security, aviation industry, forestry, energy management, surveying and topography, landslide monitoring, subsidence analysis, and spatial information system (Makineci&Karabörk, 2016).Satellite images are one of the main sources used to produce DEM. In satellite remote sensing, optical and radar imagery are often used to generate DEM. Compared to optical satellite images, the main advantage of using radar satellite images for DEM production is that they are available in different weather conditions and even at nights. Two strategies used to produce DEM from radar satellite images include radar interferometry and radargrammetry(Saadatseresht&Ghannadi, 2018).Phase information of the images is used in radar interferometry, whereas domain information of the images is used in radargrammetry (Ghannadi, Saadatseresht, &Eftekhary, 2014). Moreover, short baseline image pairs are used in radar interferometry, while long baseline image pairs are useful in radargrammetry. These technologies both have their own advantages and disadvantages,which were investigated in previous studies (Capaldo et al., 2015).With radar interferometry, it is possible to produce DEM forlarge areas. Sentinel is one of the recent projects in satellite remote sensing. Sentinel constellation collects multi-spectral imagery, radar imagery and thermal imagery from the earth. Sentinel-1 is the radar satellite of the constellation.Recent studies have investigated the precision of radar interferometry using Sentinel-1 imagery (Yagüe-Martínez et al., 2016) and the precision of DEM produced using these images(Letsios, Faraslis, &Stathakis; Nikolakopoulos &Kyriou, 2015). Generally, DEMs generated through radar interferometry needs to be improved, mainly due tothe phase errors which in many cases turn into outlier points (Zhang, Wang, Huang, Zhou, & Wu, 2012). Various methods have been used to improve DEM generated from SAR imagery, one of which use the information obtained from SRTM DEM. For instance, a previous study used SRTM DEM to improve DEM generated from ESRI/2.Using the information obtained from SRTM, the interferometric phase of areas with lower coherency were improved (Zhang et al., 2012).The present study proposed a method to improve the accuracy of DEMs generated by Sentinel-1 imagery. In this method, using ascending and descending Sentinel-1 image pairs from the study area, DEM is generated using radar interferometry process. Then, precision is improved using SRTM DEM and a method based on 2D wavelet transform.Keywords: Digital elevation model, 2D Wavelet transform, SAR Interferometry, Sentinel-1 images -
Wavelet Analysis of GRACE K-band Range Rate Measurements Related to Urmia BasinSpace-borne gravity data from Gravity Recovery and Climate Experiment (GRACE), as well as some other in situ and remotely sensed satellite data have been used to determine water storage changes in Lake Urmia Basin (Iran). As usual, the GRACE products are derived from precise inter-satellite range rate measurements converted to different formats such as spherical harmonic coefficients and equivalent water thicknesses of juxtaposed tiles in which the corresponding mass anomalies are estimated, resulting in missing information during these time-consuming processes. In this paper, GRACE level 1B K-band range rates related to Urmia Basin are corrected for non-hydrological processes and the resulting time series are analyzed using wavelet transformation. On the one hand, direct corrected range rates are employed to make an unevenly spaced time series. In addition, the monthly mean measurements of the same type are applied to create uniform time series. Therefore, a wavelet-based least-squares spectral analysis method is introduced to extract the general behavior of irregularly sampled time series. In addition, the classical wavelet transformation is used to analyze the monthly averaged time series. The results indicate that the extracted coarse parts of the corrected range rates have significantly changed between 2007 and 2008, which are in good agreement with the total water storage (TWS) changes modeled in Urmia Basin, as well as with the similar previous research findings. Besides, the time-frequency behavior of both TWS changes and monthly averaged range rate time series show that the extracted annual constituents, as the main parts of the signals, have mainly weakened after 2007.GRACE, least squares approximation, time series analysis, wavelet transform, Urmia BasinKeywords: GRACE, least squares approximation, time series analysis, Wavelet Transform, Urmia Basin
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