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1 |
New method for a SEM-based quantitative microstructural clay analysis - MiCA
روش جدید برای تجزیه و تحلیل کمی خاک رس ریزساختاری مبتنی بر SEM - MiCA-2021 The soil microstructure is recognised to strongly influence the mechanical behaviour of both coarse and fine geomaterials. Proper identification and tracking of the shape and position of the particles has become more and more critical to form a link between the micro and macro behaviour. Scanning Electron Microscopy (SEM) has been widely used in the last decades to study the clay fabric variation with its mechanical behaviour and physical properties. However, the particles orientation has so far been discussed only from a qualitative point of view due to the lack of updated, automatised quantification tools. Consequently, developing constitutive models that correlate the soil micro structure to its mechanical behaviour is not feasible. In order to make a step forward in this direction, an Image Analysis based code called MiCA (microstructural clay analyser) capable of quantifying the particle orientation and the porosity of clay samples through the analysis of SEM micrographs was developed in this study. The code reliability was first validated through the application to geometrical reference patterns, then to textbook micrographs illustrating typical clay fabrics (dispersed, honeycomb, flocculated and aggre- gated), and finally to high quality images. MiCA showed good accuracy in the results obtained, regardless of the number of lines in the image, the complexity of the geometrical shapes and the pixel size of the analysed graphs. Therefore, MiCA can be considered suitable for quantitative analysis of the particle orientation and/or pores shape in clay materials. Keywords: Image analysis | Computer vision | Quantitative analysis | Clay particles orientation | SEM | Clay porosity |
مقاله انگلیسی |
2 |
Closing the cultural intelligence skills gap in accounting students: An action research approach to cross-cultural teamwork
بستن شکاف مهارت های هوش فرهنگی در دانش آموزان حسابداری: یک رویکرد تحقیق عملی برای کار گروهی متقابل فرهنگی-2021 Cultural intelligence (CQ) is an essential feature of the skills-set demanded of accounting grad-
uates entering the worlds of modern business and professional practice. Accounting educators are
challenged to be innovative pedagogically to equip their students with this skills-set. This paper,
drawing on the theoretical framework of CQ, reports on the experiences of students and faculty in
accounting and taxation, in the context of an action research study which introduced cross-
cultural learning across two geographies, namely Ireland and a Southern US state. Two action
research cycles were designed, adapted, and reflected upon. Cycle 1 results indicate students were
successful in the behaviour and cognitive dimensions of CQ only. Key changes made for cycle 2
led to overall success for students in all four dimensions of CQ. Evidence suggests the motivation
dimension of CQ functions more strongly as enablers of others. Results highlight the invaluable
support of an international collaborator despite challenges around grading issues. This study
demonstrates how moving the cultural experience outside of a mono-cultural setting serves to
energise and enhance the overall learning experience for students and faculty alike. Future
research agendas can expand into other accounting sub-disciplines and/or use sufficiently large
sample sizes to enable more quantitative analyses. keywords: هوش فرهنگی | حسابداری | مالیات | تحقیق عملی | کار گروهی بین فرهنگی | آموزش حسابداری | Cultural intelligence | Accounting | Taxation | Action research | Intercultural teamwork | Accounting education |
مقاله انگلیسی |
3 |
Qualitative and quantitative analysis of patent data in nanomedicine for bridging the gap between research activities and practical applications
تجزیه و تحلیل کمی و کمی از داده های ثبت اختراع در نانو پزشکی برای پر کردن شکاف بین فعالیت های تحقیقاتی و کاربردهای عملی-2020 Nanomedicines have made a great breakthrough in the diagnosis, treatment and prevention of disease, but there
are still significant challenges to make a leap from the scientific discovery to the practical and clinical success.
Herein, we contribute to establish effective strategies that can bridge the gaps by an integrated and balanced
analysis of patent literatures on the nanomedicine. Since most of successful commercialization of technologies
stems from patents, it is important to comprehensively analyze the patent information. Unfortunately, many
previous studies of patent analyses for technological trends and strategies are dependent on only quantitative
analyses using structured data such as keyword networks and indicators, thus, these studies are difficult to offer
detailed technological key components and trends on scientific perspectives. To address these problems, the
present study performs qualitative and quantitative analysis using both structured and unstructured patent data,
and provides evolving detailed trends in nanomedicine fields from a scientific point of view. Furthermore, upcoming
advances in strategies regarding clinical needs, commercial events and strategies of potential leading
groups in nanomedicine could be catalogued. Our analytical method and the results of several meaningful
patterns and trends were applied to forecast the future practical issue of nanomedicines. Keywords: Patent analysis | Structured and unstructured data | Nanotechnology | Nanomedicine | Material science | Surface chemistry | Pharmaceutics | Medical science | Patent indicator |
مقاله انگلیسی |
4 |
Computational Modeling of Protein Stability: Quantitative Analysis Reveals Solutions to Pervasive Problems
مدل سازی محاسباتی از پایداری پروتئین: تجزیه و تحلیل کمی نشان می دهد راه حل برای مشکلات محرمانه-2020 Accurate modeling of the effects of mutations on protein stability is central to understanding and controlling
proteins in myriad natural and applied contexts. Here, we reveal through rigorous quantitative analysis that
stability prediction tools often favor mutations that increase stability at the expense of solubility. Moreover,
while these tools may accurately identify strongly destabilizing mutations, the experimental effect of mutations
predicted to stabilize is actually near neutral on average. The commonly used ‘‘classification accuracy’’
metric obscures this reality; accordingly, we recommend performance measures, such as the Matthews correlation
coefficient (MCC). We demonstrate that an absurdly simple machine-learning algorithm—a neural
network of just two neurons—unexpectedly achieves high classification accuracy, but its inadequacies are
revealed by a low MCC. Despite the above limitations, making multiple mutations markedly improves the
prospects for achieving a stabilization target, and modest improvements in the precision of future tools
may yield disproportionate gains. |
مقاله انگلیسی |
5 |
A systematic review of quantitative risk analysis in construction of mega projects
بررسی سیستماتیک تحلیل کمی ریسک در ساخت پروژه های مگا-2020 Mega projects (MP) require efficient management of risks during their construction. Therefore, it is crucial
to identify any possible deviations towards meeting their objectives. Such deviation forced MP to be
delivered behind schedule and over budget. According references, MP does not require only qualitative
analysis but requires an accurate quantitative analysis based on knowledge and practice. Thus, this paper
aims to undergo a systematic review of quantitative analysis literature in construction of worldwide MP,
with the utmost aim to improve contractors quantitative risk analysis practices in the presence of uncertainty.
A time line was produced which shows the process of quantitative risk analysis in this literature
including the past six years from 2013 to 2018. This was followed by a critical analysis in order to account
for quantitative risk analysis techniques highlighted throughout literature sources. Furthermore, the
paper reviews the literature of worldwide mega projects by which quantitative risk analysis process
was practiced. It was observed that Monte Carlo analysis technique has succeeded in supporting project
managers in allocating deviations in the objectives of MP. The paper adds value to practitioners using the
process of quantitative risk analysis as well as contractors working on construction of MP. Keywords: Quantitative risk analysis | Risk management | Monte Carlo analysis | Mega projects (MP) |
مقاله انگلیسی |
6 |
Data mining based approach to study the effect of consumption of caffeinated coffee on the generation of the steady-state visual evoked potential signals
رویکرد مبتنی بر داده کاوی برای بررسی تأثیر مصرف قهوه کافئین دار بر تولید سیگنالهای بالقوه برانگیخته بصری حالت پایدار-2019 The steady-state visual evoked potentials (SSVEP), are elicited at the parieto-occipital region of the cortex when a
light source (3.5–75 Hz), flickering at a constant frequency, stimulates the retinal cells. In the last few decades,
researchers have reported that caffeine enhances the vigilance and the executive control of visual attention.
However, no study has investigated the effect of caffeinated coffee on the SSVEP response, which is used for
controlling the brain-computer interface (BCI) devices for rehabilitative applications. The current work proposes
a data mining-based approach to gain insight into the alterations in the SSVEP signals after the consumption of
caffeinated coffee. Recurrence quantification analysis (RQA) of the electroencephalogram (EEG) signals was
employed for this purpose. The EEG signals were acquired at seven frequencies of photic stimuli. The stimuli
frequencies were chosen such that they were distributed throughout the EEG frequency bands. The prominent
SSVEP signals were identified using the Canonical Correlation Analysis (CCA) method. Several statistical features
were extracted from the recurrence plot of the SSVEP signals. Statistical analyses using the t-test and decision
tree-based methods helped to select the most relevant features, which were then classified using Automated
Neural Network (ANN). The relevant features could be classified with a maximum accuracy of 97%. This supports
our hypothesis that the consumption of caffeinated coffee can alter the SSVEP response. In conclusion,
utmost care should be taken in selecting the features for designing BCI devices. Keywords: SSVEP | EEG | Caffeine | Canonical correlation analysis | Recurrence quantification analysis | Multilayer perceptron network |
مقاله انگلیسی |
7 |
The use of qualitative case studies in top business and management journals: A quantitative analysis of recent patterns
استفاده از مطالعات موردی کیفی در کسب و کار برتر و مدیریت مجلات : یک تجزیه و تحلیل کمی از الگوهای اخیر-2017 The use of case studies as qualitative research strategy in social sciences seems to have increased
recently, but there are no studies that empirically verify such claim. By explicitly focusing on the field of
business and management studies, we aim to investigate the extent of publication and the main features
of qualitative case studies published in the 20 highest impact factor business and management journals.
The paper discusses the correlation between a journals ranking and the extent of case studies it pub
lished, and between selected features of case studies (e.g. research purpose, design and data sources).
Moreover, we shed light on how the identified features of a case study impact its probability of being
published.
Methodologically, we analyse by means of correlation and regression statistics, as well as clustering
techniques a total of 19 features in the 352 qualitative case studies published between 2002 and 2011 in
our sample of top business and management journals.
Keywords: Qualitative case study | Top management and business journals | Correlation | Regression |
مقاله انگلیسی |
8 |
Quantitative analysis of the security performance in wireless LANs
تجزیه و تحلیل کمی از عملکرد امنیتی در شبکه های بی سیم-2017 Received 2 August 2014; revised 3 November 2014; accepted 9 December 2014 Available online 2 November 2015 Abstract A comprehensive experimental study to analyze the security performance of a WLAN based on IEEE 802.11 b/g/n standards in various network scenarios is presented in this paper. By setting-up an experimental test bed we have measured results for a layered security model in terms of throughput, response time, encryption overheads, frame loss and jitter. Through numerical results obtained from the test bed, we have presented quantitative as well as realistic findings for both security mechanisms and network performance. It establishes the fact that there is always a tradeoff between the security strength and the associated network performance. It is observed that the non-roaming network always performs better than the roaming network under all network scenarios. To analyze the benefits offered by a particular security protocol a relative security strength index model is demonstrated. Further we have presented the statistical analysis of our experimental data. We found that different security protocols have different robustness against mobility. By choosing the robust security protocol, network performance can be improved. The presented analysis is significant and useful with reference to the assessment of the suitability of security protocols for given real time application. 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/4.0/). KEYWORDS: Frame loss | Roaming network | Security protocols | Throughput | TCP | UDP |
مقاله انگلیسی |
9 |
تجزیه و تحلیل کمی در مورد مقرون به صرفه بودن پزشکی داروهایی با اساس ملکولی ضد سرطان در ژاپن
سال انتشار: 2013 - تعداد صفحات فایل pdf انگلیسی: 6 - تعداد صفحات فایل doc فارسی: 12 سابقه و پس زمینه : در ژاپن ,هم شیوع بیماری و هم مرگ و میر ناشی از سرطان به طور مداوم افزایش یافته است و هزینه های پزشکی به سرعت بیش از کل اقتصاد ژاپن در حال افزایش است . با این حال, هیچ آستانه توافق برای مقرون به صرفه بودن مراقبت های پزشکی, در ژاپن وجود ندارد , این مطالعه , بر مقرون به صرفه بودن مراقبت های پزشکی در ژاپن متمرکز است . مطالعه حاضر به منظور تعیین هزینه های مستقیم اساس ملکولی داروهای سرطان, که اخیرا در ژاپن از طریق محاسبات ساده و کمی به تصویب رسیده است , انجام شده است . بنابراین, ما نسبت افزایشی مقرون به صرفه بودن (ICER) و هزینه هرسال زندگی (LYG) را با استفاده از اطلاعات گزارش شده از مطالعات کارآزمایی بالینی تصادفی در سرطان های مختلف, محاسبه میکنیم.
روش ها:ما بین سال های 2008 و 2011 ,هفت دارو را با اساس مولکولی, که برای درمان پنج سرطان در ژاپن به کار میرفت بررسی کردیم . این داروها شامل bevacizumab .sorafenib, sunitinib, temsirolimus, temsirolimus، , Lapatinib،و panitumumab بودند. هزینه های مستقیم داروهای, ICER و LYG از فاز تصادفی اطلاعات آزمایش III بالینی با اشاره به بسته بروشور , . براورد شد . اثربخشی به عنوان طولانی شدن هم میانگین کلی بقا (OS) وهم بقا بون پیشرفت (PFS) تعریف شد . هزینه ها به عنوان داروها با اساس مولکولی محاسبه شدند. پس از آن, ICER بر اساس افزایش 1 ماهه هم در دوره هایOS و PFS و 1٪ افزایش در OS و LYG تعیین شد.
یافته ها: هزینه های مستقیم از ¥ 724.804 ($ 9.060) به 1،506،628 ¥ ($ 18،833) متفاوت است. هزینه ی داروهای ICERs از ¥ 724،804 ($ 9،060) به 1،506،628 ¥ ($ 18،833) درافزایش 1 ماهه در OS متفاوت است . برای هر ماه از PFS، هزینه ی ICERs از ¥ 372،243 ($ 4،653) به 7،399،877 ¥ ($ 92،498) متفاوت است . هزینه bevacizumab و sorafenib برای درمان HCC در هر 1٪ افزایش برابر OS ¥ 376،657 ($ 4،708) و ¥ 313،733 ($ 3،922) بود. LYG از ¥ 8.697.650 ($ 108.721) به ¥ 18،079،530 ($ 225،994) متفاوت است .
نتیجه گیری: برخی از داروها با اساس مولکولی مقرون به صرفه نیستند. با توجه به مسائل اخلاقی و معنوی,ما باید نقطه پایانی اقتصادی را برای تایید داروهای جدید در ژاپن ایجاد کنیم.
کلمات کلیدی: تجزیه و تحلیل هزینه-اثربخشی | داروهایی با اساس مولکولی | محاسبه کمی ساده | ژاپن |
مقاله ترجمه شده |