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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 |
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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 |
The impact of chemical trace evidence on justice outcomes: Exploring the additive value of forensic science disciplines
تأثیر شواهد ردیابی شیمیایی بر نتایج عدالت: بررسی ارزش افزوده رشته های علوم پزشکی قانونی-2020 The focus of this research was to examine the contribution chemical trace evidence makes to criminal
justice outcomes. The aim of this work was to place the discipline of chemical trace evidence under the
spotlight as there is a dearth of robust research on the impact of this discipline. In this study, data relating
to the forensic examinations in a sample of 238 cases which included chemical trace evidence, was
collated with data from police investigations and court processes. The
findings show that chemical trace evidence is frequently used in combination with other forensic disciplines to support the progress of
high-level criminal cases through the justice system. Due to characteristics of how the criminal cases in
the dataset were investigated and prosecuted, in combination with the methodology applied in this
study, the impact of forensic evidence on the decision to charge suspects could not be analysed
quantitatively. However, the impact of forensic evidence on court outcomes in the sample of cases was
analysed using methodology that considered the results of the examinations, and the ability of the
evidence to provide support for the inclusion or exclusion of persons of interest. The possibility of
chemical trace evidence having impact when applied in combination with other forensic disciplines was
also examined. It was found that biological examination results was a significant standalone predictor of
court outcomes. In contrast, chemical trace examinations did not predict court outcomes when
considered as a standalone predictor but examination results of chemical trace evidence in combination
with ballistics/tool marks was significantly associated with court outcomes. The
findings of this research indicate that, to assess the full impact of any discipline of forensic evidence on the criminal justice
system, the analysis must take into account the potential for important synergies that may exist with
other forensic and non-forensic evidence. Keywords: Chemical trace evidence | Criminal justice system | Criminal justice outcomes | Quantitative analysis | Biology | Ballistics |
مقاله انگلیسی |
7 |
تحلیل ریسک عملیاتی داده محور در تدارکات تجارت الکترونیک
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 22 کارایی تدارکات تجارت الکترونیک(ECL) یکی از فاکتورهای مهم موفقیت شرکت های تجارت الکترونیک در بازارهای رقابتی امروز است. به هر حال، اجرای ECL فرایندی پیچیده و آسیب پذیر در برابر بسیاری از خطرات است که این عامل تهدید مهمی برای عملکرد می باشد. درک کامل این خطرات نیازمند اجرای اندازه گیری های هدفمند برای کاهش موثر تاثیرات سو می باشد. بنابراین، در این تحقیق یک روش تحلیل کمیتی برای خطرات اجرایی درECL بر اساس اطلاعات بدست امده از تعاملات تجارت الکترونیک ارائه شده است. بخصوص اینکه، فرایند اجرای ECL از طریق تحلیل پیوسته فعالیت های کلیدی بدست می آید. سپس، با در نظر گرفتن زمان اجرا به عنوان شاخص کلیدی عملکرد، الگوهای عملکردی در فازهای مختلف اجرا تحلیل می شوند. در ادامه، با در نظر گرفتن پراکندگی های مختلف در فازهای مختلف و بخصوص توزیع چند بعدی زمان انتقال، روش تحلیل خطر با استفاده از مدل ترکیبی گاسیان (GMM) برای تحلیل خطر مطرح شده است. در نهایت، یک مطالعه موردی برای اندازه گیری خطرات اجرایی با استفاده از اطلاعات واقعی معرفی شده است و چند مورد از کاربردها همراه با نتایج بیان شده اند.
کلمات کلیدی: تدارکات تجارت الکترونیک | ریسک های اجرایی | تحلیل داده، تحلیل ریسک | مدل ترکیب گاسیان |
مقاله ترجمه شده |
8 |
Digital transformation, digital dividends and entrepreneurship: A quantitative analysis
تحول دیجیتال ، سود سهام دیجیتال و کارآفرینی: یک تحلیل کمی-2019 The literature traditionally has focused its attention on the relationship between innovation and entrepreneurial
activity. From this perspective, new innovations are accompanied by digital transformations that enhance value
creation. However, it is also important to consider the effect of digital dividends on society overall as well as on
entrepreneurship activity. Studies generally do not address this latter possibility. This paper analyses the theoretical
and quantitative effects of digital transformation and digital dividends on entrepreneurial activity, that
is, the broader developmental benefits that using these technologies brings, in the shape of digital transformation.
Partial least square (PLS) estimation is used to develop an empirical estimation for the case of 29
European countries. Keywords: Digital dividends | Entrepreneurship | Digital transformation | Innovation | Value creation |
مقاله انگلیسی |
9 |
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 |
10 |
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 |