286 research outputs found
Biodiesel production by lipase-catalyzed transesterification of Ocimum basilicum L. (sweet basil) seed oil
No full textThe increasing global demand for fuel, limited fossil fuel resources, and increasing concern about the upturn in gaseous CO<sub>2</sub> emissions are the key drivers of research and development into sources of renewable liquid transport fuels, such as biodiesel. In the present work, we demonstrate biodiesel production from Ocimum basilicum (sweet basil) seed oil by lipase-catalyzed transesterification. Sweet basil seeds contain 22% oil on a dry weight basis. Artificial neural network with genetic algorithm modelling was used to optimize reaction. Temperature, catalyst concentration, time, and methanol to oil molar ratio were the input factors in the optimization study, while fatty acid methyl ester (FAME) yield was the key model output. FAME composition was determined by gas chromatography mass spectrometry. The optimized transesterification process resulted in a 94.58% FAME yield after reaction at 47 °C for 68 h in the presence of 6% w/w catalyst and a methanol to oil ratio of 10:1. The viscosity, density, calorific value, pour point, and cloud point of the biodiesel derived from sweet basil seed oil conformed to the EN 14214 and ASTM D6751 standard specifications. The antioxidant stability of the biodiesel did not meet these specifications but could be improved via the addition of antioxidant
Erratum: The role of visual preferences in architecture views
No full textThe article “The role of visual preferences in architecture views” by Ali Akbar Amini, Bahman Adibzadeh, published on 24 September 2020 in the Journal of Architecture and Urbanism, 44(2), 122–127, https://doi.org/10.3846/jau.2020.12582 contained a following errors on:
122 p. The source is incorrectly cited in the text. The correct citation is:
(de la Fuente Suárez, 2016)
126 p. The references incorrectly indicate author name, lastname and title of article. The correct citation is:
de la Fuente Suárez, L. A. (2016). Towards experiential representation in architecture. Journal of Architecture and Urbanism, 40(1), 47–58. https://doi.org/10.3846/20297955.2016.1163243
Corrected version of the article is available online.
The publisher apologises for this error
Sedimentation Processes in the Tinto and Odiel Salt Marshes in Huelva, Spain
No full textGlobal warming is a key factor to take into account when a study is conducted on tidal
wetlands. Both Odiel and Tinto salt marshes are the major wetlands in Andalusia (Spain).
From the mid-1950s to date, the land use changes (LUC) have caused a great landscape
alteration that along with the effects of climatic variables and sea wave energy have given
rise to a hard impact on the environment. The advent of new image processing procedures and use of high-resolution images from satellites gave precise patterns of erosion.
In this work, a new method patented by the author is presented and used to obtain the
total cubic meters of eroded soil in both salt marshes. Moreover, the different factors that
begin this phenomenon as well as the influence of intertidal processes are discussed. The
results show how the greater integration of remote sensing and geographical information
systems (GIS) technologies, with regression model, was most useful to describe, analyze
and predict the volumetric change process in both salt marshes
نقش واسطهیی تحمل پریشانی در رابطهی بلوغ عاطفی و هوش معنوی با سازگاری با دانشگاه در دانشجویان پسر دانشگاه شهید چمران اهواز
No full textخلفية البحث وأهدافه: التكيف مع الحياة الجامعية هو واحد من العوامل المهمة في مختلف جوانب الحياة الطلابية كباقي العوامل بما في ذلك الصحة الجسمية والعقلية والتكيف الاجتماعي في الاجواء غير الجامعية. الغرض من هذا البحث، دراسة دور تحمل الارتباك كعامل وسيط في النضج العاطفي والذكاء المعنوي مع التكييف الجامعي.
منهجية البحث: في تصميم ارتباطي، تم اختیار 273 طالباً من بين الطلاب المقيمين في القسم الداخلي بجامعة الشهيد شمران في العام الدراسي 2016-2017 وذلك بطريقة اخذ العينة العنقودية مستخدما جدول krejcie و Morgan. تم استخدام استمارة النضج العاطفي والذكاء المعنوي وتحمل الإرتباك والتكيف الجامعى لغرض جمع البيانات. تم تحليل البيانات وتجزئتها باستخدام معامل ارتباط بيرسون والنمذجة بالمعادلة البنائية (SEM). تمت مراعاة جميع الموارد الأخلاقية في هذا البحث؛ واضافة الى هذا فإن مؤلفي المقالةلم يشيروا الى اي تضارب في المصالح.
الكشوفات: بناء على الكشوفات، هناك علاقة ايجابية ذات دلالة احصائية بين النضج العاطفي والذكاء المعنوي وبين التكيف الجامعي. كما ان هناك علاقة ايجابية دالة احصائية ايضا بين تحمل الارتباك والتكيف الجامعي وبين النضج العاطفي والذكاء المعنوي مع تحمل الارتباك. تشير النتائج الى ان النموذج المقترح للعلاقة بين المتغيرات المذكورة أعلاه يكون مناسبًا تمامًا مع تصحيح وإزالة المسار المباشر للذكاء المعنوي الى التكيف الجامعي. اضافة الى هذا، فإن المسار المباشر للنضج العاطفي الى التكيف الجامعي كان دالا احصائياً. كما أظهرت نتائج المعاملات غير المباشرة باستخدام Bootstrap أن جميع المسارات غير المباشرة كانت ذات دلالة احصائية.
الاستنتاج: اظهرت النتائج ان الذكاء المعنوي والنضج العاطفي ومن خلال تحمل الارتباط، يؤديان الى زيادة نسبة تكيف الطالب مع الحياة الجامعية. لذلك، يُقترح أن يُدوّن برامج تعليمية للذكاء المعنوي والنضج العاطفي مع التركيز على زيادة تحمّل الارتباك من أجل زيادة توافق الطلاب مع الحياة الجامعية.
يتم استناد المقالة على الترتيب التالي:
Sharifi-Rigi A, Mehrabizade-Honarmand M, Beshlideh K, Sarparast A, Khanali-Nejad S, Amini Z. Mediating Role of Distress Tolerance in Relationship of Emotional Maturity and Spiritual Intelligence with Adjustment to University. Journal of Pizhūhish dar dīn va salāmat. 2019;5(1):87-100. https://doi.org/10.22037/jrrh.v5i1.19401Background and Objective: Adjustment to university is an important factor in different dimensions of students’ life such as mental-physical health and social adjustment in the fields outside the university. The aim of this study was to determine mediating role of distress tolerance in the relationship of spiritual intelligence and emotional maturity with adjustment to university.
Methods: In this correlation study, based on Krejsi and Murgan table, 273 students of Shahid Chamran University in Ahvaz city were selected via multistage cluster sampling method during the fall semester of the academic year of 2016-2017. The participants completed the items of Emotional Maturity Scale, Distress Tolerence Scale, Spiritual Intelligence Inventory and Adjustment to College Scale. The data were then analyzed using Pearson correlation coefficient, structural equation modeling. All ethical issues were observed in this study and the researchers declared no conflict of interests.
Results: The findings showed that emotional maturity, spiritual intelligence, and distress tolerance had positive significant correlation with adjustment to college. There was also a positive significant correlation between emotional maturity as well as spiritual intelligence and distress tolerance. The proposed model for relationship between these variables has acceptable fit with a correction and removal of direct path of spiritual intelligence with adjustment to college. Direct path of emotional maturity to adjustment to college was significant. The analysis based on Bootstrapping indicated that all indirect paths were significant.
Conclusion: It is proposed that to raise adjustment to university, educational programs for emotional maturity and spiritual intelligence with an emphasis on enhancing distress tolerance should be developed.
Please cite this article as: Sharifi-Rigi A, Mehrabizade-Honarmand M, Beshlideh K, Sarparast A, Khanali-Nejad S, Amini Z. Mediating Role of Distress Tolerance in Relationship of Emotional Maturity and Spiritual Intelligence with Adjustment to University. Journal of Pizhūhish dar dīn va salāmat. 2019;5(1):87-100. https://doi.org/10.22037/jrrh.v5i1.19401سابقه و هدف: سازگاری با دانشگاه از عوامل مهم در ابعاد مختلف زندگی دانشجویان مانند بهداشت جسمی-روانی و سازگاری اجتماعی در حوزههای خارج از دانشگاه است. هدف این پژوهش بررسی نقش واسطهیی تحمل پریشانی در رابطهی بلوغ عاطفی و هوش معنوی با سازگاری با دانشگاه است.
روش کار: در یک طرح همبستگی و با استفاده از روش نمونهگیری خوشهیی از بین دانشجویان پسر مجتمع خوابگاهی وابسته به دانشگاه شهید چمران اهواز، با استفاده از جدول کرجسی و مورگان، تعداد 273 دانشجوی پسر در سال تحصیلی 95-96 انتخاب شدند. در پژوهش حاضر از پرسشنامههای بلوغ عاطفی، هوش معنوی، تحمل پریشانی و سازگاری با دانشگاه برای جمعآوری دادهها استفاده شد. برای تجزیه و تحلیل دادهها نیز از ضریب همبستگی پیرسون و الگویابی معادلات ساختاری (SEM) استفاده شد. در این پژوهش همهی مسائل اخلاقی رعایت شده است و نویسندگان مقاله هیچگونه تضاد منافعی گزارش نکردهاند.
یافتهها: بر اساس یافتههای بهدستآمده، بلوغ عاطفی و هوش معنوی با سازگاری با دانشگاه ارتباط مثبت معنادار داشت. همچنین بین تحمل پریشانی و سازگاری با دانشگاه؛ و بین بلوغ عاطفی و هوش معنوی با تحمل پریشانی نیز ارتباط مثبت معنادار وجود داشت. نتایج نشان داد که مدل پیشنهادی با یک اصلاح و حذف مسیر مستقیم هوش معنوی به سازگاری با دانشگاه دارای برازش پذیرفتنی بود. علاوهبراین، مسیر مستقیم بلوغ عاطفی به سازگاری با دانشگاه نیز معنیدار بود. همچنین، نتایج ضرایب غیرمستقیم با استفاده از بوت استراپ نشان داد که همهی مسیرهای غیرمستقیم نیز معنیدار بود.
نتیجهگیری: نتایج نشان میدهد که هوش معنوی و بلوغ عاطفی از طریق تحمل پریشانی موجب افزایش سازگاری با دانشگاه میشود. بنابراین، پیشنهاد میشود به منظور افزایش سازگاری با دانشگاه در دانشجویان، برنامههای آموزشی هوش معنوی و بلوغ عاطفی با تأکید بر افزایش تحمل پریشانی آنان تدوین شود.
استناد مقاله به این صورت است:
Sharifi-Rigi A, Mehrabizade-Honarmand M, Beshlideh K, Sarparast A, Khanali-Nejad S, Amini Z. Mediating Role of Distress Tolerance in Relationship of Emotional Maturity and Spiritual Intelligence with Adjustment to University. Journal of Pizhūhish dar dīn va salāmat. 2019;5(1):87-100. https://doi.org/10.22037/jrrh.v5i1.1940
LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks
No full textThe use of learning curves for decision making in supervised machine learning is standard practice, yet understanding of their behavior is rather limited. To facilitate a deepening of our knowledge, we introduce the Learning Curve Database (LCDB), which contains empirical learning curves of 20 classification algorithms on 246 datasets. One of the LCDB’s unique strength is that it contains all (probabilistic) predictions, which allows for building learning curves of arbitrary metrics. Moreover, it unifies the properties of similar high quality databases in that it (i) defines clean splits between training, validation, and test data, (ii) provides training times, and (iii) provides an API for convenient access (pip install lcdb). We demonstrate the utility of LCDB by analyzing some learning curve phenomena, such as convexity, monotonicity, peaking, and curve shapes. Improving our understanding of these matters is essential for efficient use of learning curves for model selection, speeding up model training, and to determine the value of more training data.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Pattern Recognition and Bioinformatic
Mediating Role of Distress Tolerance in Relationship of Emotional Maturity and Spiritual Intelligence with Adjustment to University
No full textFor downloading the full-text of this article please click here.Background and Objective: Adjustment to university is an important factor in different dimensions of students’ life such as mental- physical health and social adjustment in the fields outside the university. The aim of this study was to determine mediating role of distress tolerance in the relationship of spiritual intelligence and emotional maturity with adjustment to university.Method: In this correlation study, based on Krejsi and Murgan table, 273 students of Shahid Chamran University in Ahvaz city were selected via multistage cluster sampling method during the fall semester of the academic year of 2016-2017. The participants completed the items of Emotional Maturity Scale, Distress Tolerence Scale, Spiritual Intelligence Inventory and Adjustment to College Scale. The data were then analyzed using Pearson correlation coefficient, structural equation modeling. All ethical issues were observed in this study and the researchers declared no conflict of interests.Results: The findings showed that emotional maturity, spiritual intelligence, and distress tolerance had positive significant correlation with adjustment to college. There was also a positive significant correlation between emotional maturity as well as spiritual intelligence and distress tolerance. The proposed model for relationship between these variables has acceptable fit with a correction and removal of direct path of spiritual intelligence with adjustment to college. Direct path of emotional maturity to adjustment to college was significant. The analysis based on Bootstrapping indicated that all indirect paths were significant.Conclusion: It is proposed that to raise adjustment to university, educational programs for emotional maturity and spiritual intelligence with an emphasis on enhancing distress tolerance should be developed.For downloading the full-text of this article please click here.Please cite this article as: Sharifi Rigi A, Mehrabizade Honarmand M, Beshlideh K, Sarparast A, Khanali Nejad S, Amini Z. Mediating Role of Distress Tolerance in Relationship of Emotional Maturity and Spiritual Intelligence with Adjustment to University. J Res Relig Health. 2019; 5(1): 87- 100. doi: https://doi.org/10.22037/jrrh.v5i1.1940
Adversarially Robust Decision Tree Relabeling
No full textDecision trees are popular models for their interpretation properties and their success in ensemble models for structured data. However, common decision tree learning algorithms produce models that suffer from adversarial examples. Recent work on robust decision tree learning mitigates this issue by taking adversarial perturbations into account during training. While these methods generate robust shallow trees, their relative quality reduces when training deeper trees due the methods being greedy. In this work we propose robust relabeling, a post-learning procedure that optimally changes the prediction labels of decision tree leaves to maximize adversarial robustness. We show this can be achieved in polynomial time in terms of the number of samples and leaves. Our results on 10 datasets show a significant improvement in adversarial accuracy both for single decision trees and tree ensembles. Decision trees and random forests trained with a state-of-the-art robust learning algorithm also benefited from robust relabeling.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
Penalized FTRL with Time-Varying Constraints
No full textIn this paper we extend the classical Follow-The-Regularized-Leader (FTRL) algorithm to encompass time-varying constraints, through adaptive penalization. We establish sufficient conditions for the proposed Penalized FTRL algorithm to achieve O(t) regret and violation with respect to a strong benchmark X^tmax. Lacking prior knowledge of the constraints, this is probably the largest benchmark set that we can reasonably hope for. Our sufficient conditions are necessary in the sense that when they are violated there exist examples where O(t) regret and violation is not achieved. Compared to the best existing primal-dual algorithms, Penalized FTRL substantially extends the class of problems for which O(t) regret and violation performance is achievable.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Networked System
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting
No full textSequence clustering in a streaming environment is challenging because it is computationally expensive, and the sequences may evolve over time. K-medoids or Partitioning Around Medoids (PAM) is commonly used to cluster sequences since it supports alignment-based distances, and the k-centers being actual data items helps with cluster interpretability. However, offline k-medoids has no support for concept drift, while also being prohibitively expensive for clustering data streams. We therefore propose SECLEDS, a streaming variant of the k-medoids algorithm with constant memory footprint. SECLEDS has two unique properties: i) it uses multiple medoids per cluster, producing stable highquality clusters, and ii) it handles concept drift using an intuitive Medoid Voting scheme for approximating cluster distances. Unlike existing adaptive algorithms that create new clusters for new concepts, SECLEDS follows a fundamentally different approach, where the clusters themselves evolve with an evolving stream. Using real and synthetic datasets, we empirically demonstrate that SECLEDS produces high-quality clusters regardless of drift, stream size, data dimensionality, and number of clusters. We compare against three popular stream and batch clustering algorithms. The state-of-the-art BanditPAM is used as an offline benchmark. SECLEDS achieves comparable F1 score to BanditPAM while reducing the number of required distance computations by 83.7%. Importantly, SECLEDS outperforms all baselines by 138.7% when the stream contains drift. We also cluster real network traffic, and provide evidence that SECLEDS can support network bandwidths of up to 1.08 Gbps while using the (expensive) dynamic time warping distance.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
Rice bran oil based biodiesel production using calcium oxide catalyst derived from Chicoreus brunneus shell
No full textEnvironmental pollution and the declining global supply of accessible fossil fuels are the key drivers of the search for alternative sources of energy. Biodiesel, a renewable liquid transport fuel, is commercially-produced using heterogeneous catalysts. \ud
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Heterogeneous catalysts obtained from seashells appeared as promising alternatives thanks to their low preparation cost and increased efficiency in transesterification. In this study, shells from Chicoreus brunneus (known as Adusta murex) were calcined, hydrated, and dehydrated to produce CaO heterogeneous nanocatalyst for the transesterification of rice bran oil into biodiesel. \ud
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Field emission scanning electron microscopy, Fourier transform infrared spectroscopy, transmission electron microscopy, surface area measurement (Brunauer-Emmett-Teller method), and X-ray diffraction were used to characterise the seashell-derived catalyst. The properties of the rice bran oil-derived biodiesel (acid value, calorific value, density, oxidation stability, and flash point) conformed to the American Society of Testing and Materials (ASTM) D6751 and European EN 14214 biodiesel standards, except for kinematic viscosity. \ud
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Therefore, the impact of the parameters used for production of the CaO heterogeneous nanocatalyst (calcination temperature and time) and the transesterification reaction (catalyst loading and methanol to rice bran oil ratio) on the kinematic viscosity of RBO-derived biodiesel were determined. \ud
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A model for the transesterification process was developed using a combination of artificial neural networking with ant colony optimisation. The model predicted that C. brunneus-derived CaO catalyst prepared at 1100 °C for 72 min could be used to produce biodiesel from rice bran oil with a minimum kinematic viscosity (4.42 mm2 s-1) confirming to both the ASTM D6751 and EN 14214 biodiesel standards in a transesterification reaction operating with a 35:1 methanol to rice bran oil molar ratio and 0.5 wt% catalyst mass
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