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مرکز اطلاعات علمی SID1
Issue Info: 
  • Year: 

    1391
  • Volume: 

    8
Measures: 
  • Views: 

    421
  • Downloads: 

    126
Keywords: 
Abstract: 

لطفا برای مشاهده چکیده به متن کامل (PDF) مراجعه فرمایید.

Yearly Impact:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: 

GOVARESH JOURNAL

Issue Info: 
  • Year: 

    2021
  • Volume: 

    25
  • Issue: 

    4
  • Pages: 

    240-246
Measures: 
  • Citations: 

    0
  • Views: 

    150
  • Downloads: 

    220
Abstract: 

Background: Prediction for diseases and health issues using Web information diffusion is the main aim in infodemiology studies. This study’ s goal is to give a raw estimation of people with inflammatory bowel diseases (IBDs) for all provinces in Iran. Materials and Methods: The data for this analytical cross-sectional study was collected using Google Trends (GTr). Three keywords of “ Inflammatory Bowel Disease” , “ Crohn’ s Disease” , and “ Ulcerous Colit” were searched through. The results were limited to the geographical region of Iran from 1/1/2010 to 12/31/2018. The retrieved data saved to a local drive in Excel and analyzed through SPSS software version 23. Results: Overall searches for IBDs showed a significant (p = 0. 0) trend during the studied course of time. There was no significant relationship between the number of searches, applied keywords, and various seasons. The largest number of searches for IBDs keywords came from Ardebil, Gilan, and East-Azarbaijan provinces. Conclusion: This study revealed an increasing search rate for IBDs among Iranian clients from 2010 to 2018. The increased number of searches for Crohn’ s disease compared with ulcerous colitis from 2016 onward is likely a wise estimation of disease spread in the country.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    1401
  • Volume: 

    8
  • Issue: 

    2
  • Pages: 

    145-168
Measures: 
  • Citations: 

    0
  • Views: 

    80
  • Downloads: 

    36
Abstract: 

هدف: با توجه به تمایل فزاینده مردم برای کسب اطلاعات سلامت از طریق اینترنت، بررسی روند جستجو در وب، اطلاعات ارزشمندی را در اختیار متخصصان و سیاست گذاران قرار خواهد داد. تحلیل عبارت های جستجوی کاربران گوگل می تواند علایق و گرایش های آن ها را نشان دهد. بر این اساس، پژوهش حاضر روند جهانی جستجو در زمینه درمان با سلول های بنیادی در پنج سال اخیر را با استفاده از اطلاعات مستخرج از گوگل ترندز مورد بررسی قرار داده است. در این پژوهش، روند جهانی جستجو، توزیع جغرافیایی جستجو، عبارات جستجوی ترجیحی کاربران که می توانند ترجیحات درمانی متقاضیان درمان را بیان کنند، و اهمیت هزینه درمان برای متقاضیان بالقوه درمان مورد توجه بوده است. روش شناسی: این مطالعه از نظر هدف کاربردی بوده و گردآوری و تحلیل داده ها با استفاده از ابزار گوگل ترندز انجام شده است. گوگل ترندز یکی از سرویس های شرکت گوگل است که از طریق آن می توان نیازها و رفتارهای اطلاعاتی کاربران گوگل را بررسی و تحلیل کرد. نتایج بازیابی شده به بازه زمانی 19 جولای 2015 تا 12 جولای 2020 اختصاص دارد. نتایج: بر اساس نتایج این پژوهش، روند جستجو در زمینه درمان با سلول های بنیادی در بازه زمانی مورد بررسی، افزایشی بوده و بیشترین جستجوها به کشورهای آمریکا، سنگاپور و فیلیپین اختصاص داشته است. همچنین، کشورهای آسیایی بنگلادش، پاکستان، هند، قطر، مالزی، کویت، کره جنوبی و هنگ کنگ، کشورهای کانادا، نیوزلند، انگلستان و ایرلند و کشورهای آفریقایی نیجریه، کنیا و آفریقای جنوبی نیز در میان 20 کشور دارای بیشترین شاخص حجم جستجو قرار دارند. کشور ایران نیز از نظر شاخص حجم جستجو در رتبه 25 قرار داشت. درمان با سلول های بنیادی برای زانو، درمان درد، اوتیسم، آرتریت، درمان با سلول های بنیادی مزانشیمال و درمان بیماری مزمن انسدادی ریه مورد توجه کاربران گوگل قرار داشته است. همچنین، نتایج بیانگر اهمیت هزینه درمان از نظر کاربران در کشورهای مختلف می باشد. بیشترین جستجوی مرتبط در زمینه هزینه درمان، در کشورهای ایالات متحده، استرالیا، هند، کانادا و انگلستان انجام شده است. نتیجه گیری: گوگل ترندز ابزاری موثر جهت بررسی رفتار جستجوی اینترنتی کاربران گوگل در زمینه درمان با سلول های بنیادی است. از داده های ارایه شده می توان به منظور شناسایی کشورهای متقاضی، اولویت های درمانی و روند تقاضا برای درمان استفاده کرد. بر این اساس می توان سیاست گذاری های مناسب را جهت جذب گردشگران سلول های بنیادی اتخاذ کرد. در این راستا، متخصصان اطلاع رسانی می توانند با بهره گیری از گوگل ترندز، داده های جستجوی کاربران در حوزه های مختلف مرتبط با سلامت را استخراج نموده و جهت برنامه ریزی های آتی در اختیار متخصصان و سیاست گذاران حوزه سلامت قرار دهند.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

FALLAH TAFTI HAMED

Issue Info: 
  • Year: 

    2021
  • Volume: 

    10
  • Issue: 

    2
  • Pages: 

    67-79
Measures: 
  • Citations: 

    0
  • Views: 

    52
  • Downloads: 

    376
Abstract: 

With the development of the tourism industry and the growth of related businesses, the need for up-to-date information in proper planning and accurate estimation of the number of tourists is essential for the efficient use of resources to develop infrastructure and increasing revenue. The existence of detailed plans will eventually lead to an increase in the satisfaction of incoming tourists. With the development of information search culture, tourists usually search for information about accommodation and tourism services in the destination through online resources before starting the trip. In the present study, using selected data related to user queries around the world in the Google search engine, about the tourism facilities and capabilities of Yazd, the number of future tourists in this city has been predicted. For this purpose, the research data consists of user search statistics, which were downloaded from the Google Trends system, and a prediction model was designed and validated using the machine learning method. After preparing and analyzing the data, it was found that the queries registered in Google Trends have a lot of power (more than 95%) in predicting the number of tourists in Yazd in the period from 2014 to 2019 in monthly periods.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

HABIBIRAD AMIN | PANAHI ALI

Issue Info: 
  • Year: 

    2021
  • Volume: 

    9
  • Issue: 

    37
  • Pages: 

    347-372
Measures: 
  • Citations: 

    0
  • Views: 

    101
  • Downloads: 

    425
Abstract: 

Nowadays, Bitcoin is one of the most important cryptocurrencies that has the largest volume of exchanges in the cryptocurrency market and between businesses. The feature of the possibility of online payments between individuals and businesses directly and without referring to the financial institution has made the price of these cryptocurrencies important for businesses and traders and the basis for decision making. Therefore, the issue of price predictability is an important issue that can be affected by search volume. The purpose of this research is studying and investigating the relationship between the volume of Internet searches and its effect on the price of these cryptocurrencies. In addition, another goal of this article is to introduce Google Trends (GT) as a tool for accessing big data for business researches. The required data was extracted from Google Trends in the period 2016 to 2021. The volume of data was 5742 and the whole statistical population was used. The research method is descriptive-exploratory with the aim of explaining the relationship between "Google search volume index" and "bitcoin price". Data were analyzed using Spearman correlation test. Findings indicate a strong and very strong relationship between the studied indicators, which is explained.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    1400
  • Volume: 

    2
  • Issue: 

    1
  • Pages: 

    141-169
Measures: 
  • Citations: 

    0
  • Views: 

    107
  • Downloads: 

    70
Abstract: 

شاخص بورس در بسیاری از کشورها ازجمله ایران مبنای تصمیم گیری معامله گران به ویژه تازه واردان در بازار سرمایه است و به همین دلیل مبنای جستجوهای اینترنتی افراد است. بررسی جستجوهای اینترنتی براین مبنا می تواند الگوهای رفتاری معامله گران در بازار را توصیف و امکان پیش بینی آنها را فراهم آورد. گوگل ترندز داده هایی را فراهم می کند که ازطریق تجزیه وتحلیل آنها می توان به الگوهای رفتاری معامله گران دست یافت. در این پژوهش از دو شاخص «حجم جستجوی گوگل» و «شاخص بورس» کشورهای منتخب استفاده شد. پژوهش حاضر ترکیبی، از نوع تشریحی یا تبیینی است. در مرحله کمی، جامعه آماری داده های گوگل ترندز استخراج شد و سپس با هدف تبیین یافته های بخش کمی و ارائه راهکارهای بهبود شرایط بازار، از روش تحقیق کیفی استفاده و داده ها به روش مصاحبه گردآوری شد. یافته های بخش کمی نشان داد، همبستگی بالا و معنی داری بین دو شاخص موردنظر در ایران و برخی دیگر از کشورهای موردنظر وجود دارد. درحالی که رابطه بین این دو شاخص در برخی از کشورهای دیگر ضعیف و حتی معکوس بود. با تحلیل داده های حاصل از بخش کیفی، روابط بین این دو شاخص در کشورها، تبیین و راهکارهایی جهت بهبود شرایط رفتاری معامله گران بازار ارائه شد.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

Nayebi Amin | Abolghasemi Dehaqani Mohammad Reza | Rostami Reza | Rahiminezhad Abbas | Asadpour Masoud

Issue Info: 
  • Year: 

    2024
  • Volume: 

    32
  • Issue: 

    6
  • Pages: 

    7963-7973
Measures: 
  • Citations: 

    0
  • Views: 

    42
  • Downloads: 

    0
Abstract: 

2Introduction: The COVID-19 pandemic has led to a global rise in sleep disorders, serving as a critical indicator of societal mental health. This study aims to examine the trends in health information searches related to sleep disorders during the first seven months of the COVID-19 pandemic in Iran, comparing these trends with the same period two years prior. Methods: This descriptive study analyzed the internet search behavior of Iranians seeking health information between 2017 and 2022. Data were collected on sleep disorder-related searches during the initial seven months of the COVID-19 pandemic in Iran using Google Trends. A one-way analysis of variance (ANOVA) was employed to compare the volume and percentage of searches related to sleep disorders during the pandemic with those in the corresponding periods of the previous years. Additionally, Pearson's correlation was used to assess the relationship between the daily trends in COVID-19-related deaths and the volume of internet searches concerning sleep disorders. Results: The volume of searches related to sleep disorders significantly increased (p<0.001) during the first seven months of the COVID-19 pandemic in Iran compared to the same period in the two preceding years. These searches initially exhibited an upward trend, followed by a decline, eventually stabilizing. A strong (r = 0.8) and significant (p<0.05) correlation was observed between the number of sleep disorder-related searches and the number of COVID-19-related deaths during the early months of the pandemic. Conclusion: The COVID-19 pandemic led to a marked increase in searches for information on sleep disorders, potentially driven by heightened anxiety and lifestyle changes during this period.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2023
  • Volume: 

    18
  • Issue: 

    2
  • Pages: 

    103-110
Measures: 
  • Citations: 

    0
  • Views: 

    92
  • Downloads: 

    24
Abstract: 

Background: One of the most important economic goals of countries is to create the necessary conditions to promote continuous and stable economic growth. Therefore, predicting oil prices in line with the practical incentives for economic growth will not be possible except with the growing link of economic ethics. The purpose of this study is the moral hazards of the impact of crude oil news on the effective forecast of crude oil prices. Method: The method of the present research is applied and of deep learning type. The crude oil news indexes, Google Trends and crude oil prices in the world have been selected as a statistical population that the years 2021-2011 were selected as a research sample. The data measurement tools were investment. com, the weekly price of West Texas Intermediate crude oil and the Google Trends search engine. Convolutional neural network method was used for the test. Results: The fit of the research model, which included a main hypothesis, was confirmed. Therefore, the complementary link between news headlines and Google Trends is very useful in accurately predicting crude oil prices and can lead to moral hazards in pricing. Conclusion: It has been estimated that all variables are level or with a stable difference, and experimental results indicate that text-based forecasting and Internet-based big data methods perform better than other techniques and show that they can be moral hazards.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2017
  • Volume: 

    4
  • Issue: 

    1
  • Pages: 

    67-79
Measures: 
  • Citations: 

    0
  • Views: 

    661
  • Downloads: 

    239
Abstract: 

Background and Aim: The current study aimed to investigate the state of health information supply and demand on prostate cancer among Iranian medical researchers and Iranian web users during 2011 to 2015. The purpose of this study, based on infodemiology indicators, was to investigate the alignment of health information supply and demand on prostate cancer among Iranian medical researchers and Iranian web users.Methods: A mixed method research was conducted. In qualitative part, a focus group interview was applied to the users to identify their selected keywords searched for prostate cancer in Google. The collected data were analyzed using Open Code software. In quantitative part, data were synthesized using R software in two parts. First, users’ internet informationseeking behavior was analyzed using Google Trends outputs during 2011 to 2015. Second, the scientific publication of Iranian prostate cancer specialists was surveyed using PubMedduring the period of the study.Results: The results showed that the search volume index of preferred keywords on prostate cancer have decreased from 2191 in 2011 to 1798 in 2015. Also, the findings revealed that Iranian scholars had 161 scientific papers on prostate cancer in PubMed during 2011 to 2015.Among these 161 papers, 20 records related to 2011 and 44 records related to 2015. There was no significant relationship between users’ information seeking behavior in Google Trends and the scientific publication behavior of Iranian prostate cancer specialists (p>0.05).Conclusion: According to the results, when the search volume index of Iranian web users decreased or increased during the period of the study, the number of scientific publications had not been affected by users’ search volume. Thus, it can be mentioned that Iranian scholars had not pay enough attention to the concerns of people toward prostate cancer.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

MIRZAEIAN VAHID REZA

Journal: 

TRANSLATION STUDIES

Issue Info: 
  • Year: 

    2011
  • Volume: 

    9
  • Issue: 

    35
  • Pages: 

    57-65
Measures: 
  • Citations: 

    0
  • Views: 

    5660
  • Downloads: 

    162
Abstract: 

One of the most challenging and difficult aspects of translation is related to the translation of idioms by both machine systems and human translators. The problem arises from the recognition of the idioms on the one hand and translating them on the other hand. idiom recognition is not easy since an idiom may change its form based on the context in which it is used. Using systematic idiom collections and special rules to recognize idioms, the problem can be solved to a great extent. Moreover, the inclusion of a morphological as well as syntactic parser can greatly enhance the idiom recognition and translation process. The aim of this paper is twofold. First, we want to test Google Translate to see how well it is capable of translating idioms and next to provide means to improve the quality of translation of idioms by Google Translate.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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