721 research outputs found
A new interval meta-goal programming for sustainable planning of agricultural water-land use nexus
Meta-Goal Programming (MGP) is a simultaneous cognitive evaluation of the degree of achievements for original decision goals considered in a GP model. However, in most real-world situations, environmental coefficients and related parameters are not easily available. In such a situation, the decision-maker must consider various conflicting targets in a framework of uncertain aspiration levels at the same time. On the other side, Interval Programming (IP) is a method used to increase the range of available decision-maker preference structures in GP. In the perspective of solving the conflicts between agriculture and water use towards sustainability, this paper proposes an Interval Meta-Goal Programming Model (IMGPM) dealing with imprecision in data that covers interval coefficients, target intervals, and interval bounds of meta-goals. This novel methodology has been tested in a study area in Iran to validate its added value in solving conflicting uses of natural resources by economic sectors. This integration together with its application for sustainable optimal cropping patterns (agroecosystem planning) represents a novelty in the field of ecological modeling. The management solutions of our method in terms of land allocation are different from those in Sen and Pal (2013) model. In the case of Iran, many socio-ecological-economic strategies and policies should be necessary for improving the agricultural sector. More specifically, on the basis of rainfall amounts and spatial patterns, this approach can represent a decision-support system able to define strategies for additional water storage useful to support crop production. Furthermore, the availability of water together with the sustainable use of fertilizers can mitigate the risk of land degradation, guaranteeing people employment, food security, and economic profits. Although the present methodology seems to solve the problem of multi-goals decision-making, the inclusion of spatial relationships is able to introduce dependencies between the management of land use in adjacent areas, making the present approach nearer to real-world functioning
Interview with Mostafa Moharram
هذه المقابلة مع المؤلف والسيناريست المصري مصطفى محرم. يستعرض كتاباته وأفلامه ، ويؤكد على أهمية السيناريو والكتابات المتخصصة . يشرح دور كاتب السيناريو وهو المسؤول عن خلق عمل فعال وجيد ، وكذلك التعامل بطريقة جيدة مع فريق التمثيل . أجرت المقابلة درية شرف الدينIn this interview, Egyptian author and screenwriter Mostafa Moharram speaks about his movies and the importance of scenarios in creating good work. The interview was conducted by Dorreya Sharaf al-Din
Detection and Analysis of Epilepsy Biomarkers in Electrocorticography
Author Mostafa MohammadpourDissertation Johannes Kepler Universität Linz 202
Detection and Analysis of Epilepsy Biomarkers in Electrocorticography
Author Mostafa MohammadpourDissertation Johannes Kepler Universität Linz 202
L’année de Bacchus d’El Mostafa Bouignane entre devoir de la mémoire et exaltation de la vie
This study will discuss the approach to the structure and narrative composition of the novel entitled L\u27année de Bacchus by Mostafa Bouignane, published by Virgule Editions in 2020. This text adds to a series of stories of which Bouignane constructs a narrative universe to reveal the nature of man who, even submissive and reduced, remains capable of regaining his freedom and leading a peaceful life. Thus, our study will propose an analysis of the ideological and historical dimension of this text representative of the literary experience of the author, then at the end the questioning of his human and moral values
تحليل پويا حوادث صنايع فرآيندي: مقايسه مدل پاپيوني و شبکه بيزين
Background and Objectives: Accidents of the industrial processes have caused irreparable economic, social, environmental and even political loses in the country. To prevent such accidents, identifying, evaluating and analyzing the causes of these incidents with new approaches are required for designing preventive strategies is a necessity. Therefore, the objective of the present study was directed toward the identifying and dynamic analyzing of the root causes of the process accidents. The Bowtie (BT) model and Bayesian Network (BN) were implemented for analyzing the accidents.
Materials and Methods: First, the accidents' scenarios were modelled quantitatively and quantitatively using the BT model, and then, the cause-consequence model of the accident scenarios was modelled in the BN using the proposed algorithm. Capabilities of the BN including, deductive, abductive reasoning and updated probability was used for dynamic analysis of the accident scenarios.
Results: The results showed that deductive reasoning for estimating the occurrence probabilities of a scenario and its consequences is more accurate by BN than BT. BN model is capable of doing probability updating of root events using the precursor accident data through abductive reasoning, taking into account conditional dependency among root events, safety barriers and modelling of common cause’s failures. However, BT model does not have such capabilities.
Conclusion: In the present study, a novel, dynamic and quantitative model was introduced that allows the continuous identification and monitoring of the safety risks in the process industries. Implementing the proposed model in the process industries can significantly reduce the risk of the industrial accidents and improve the level of safety.
How to cite this article: Zarei E, Mohammadfam I, Azadeh A, Mirzaei-Aliabadi M. Dynamic Process Accident Analysis: Comparison of Bow tie and Bayesian Network Models. Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention). 2017; 5(4):201-212 .
سابقه و هدف: حوادث صنايع فرايندي ساليانه خسارات جبرانناپذيري از ابعاد انساني، اقتصادي، اجتماعي، زيستمحيطي و حتي سياسي بر کشور تحميل ميکند. براي پيشگيري از بروز اينگونه حادثه شناسايي، ارزيابي و تحليل علل به وجود آورنده آنها با رويکردهاي نوين جهت طراحي استراتژيهاي پيشگيرانه يک ضرورت محسوب ميشود. اين مطالعه باهدف تحليل پويا حوادث فرآيندي با مقايسه مدل سنتي پاپيوني و روش نوين شبکه بيزين طراحي و اجرا گرديد.
روش بررسي: سناريو حوادث موردنظر ابتدا با مدل پايپوني بهطور کيفي و کمي مورد مدلسازي قرار گرفت و سپس با استفاده از الگوريتم ارائهشده، مدل علت – پيامد سناريو حادثه در شبکه بيزين مدلسازي شد. از تواناييهاي شبکه بيزين: استدلال قياسي، استدلال استقرايي و بهروزرساني احتمال جهت تحليل پويا سناريو حادثه استفاده گرديد.
يافتهها: نتايج استدلال استقرايي جهت تخمين احتمال وقوع سناريو و پيامدهاي نهايي آن در شبکه بيزين نسبت به مدل پاپيوني دقيقتر است. شبکه بيزين قادر به انجام استدلال قياسي جهت بهروزرساني احتمال وقوع رويدادهاي ريشهاي از طريق بهرهگيري از داده-هاي پيشدرآمد حوادث، در نظر گرفتن وابستگي شرطي بين رويدادهاي ريشهاي، بين موانع ايمني و مدلسازي نقصهاي شرطي با علل مشترک بود، درحاليکه مدل پايپوني قادر به انجام آنها نبود.
نتيجهگيري: در اين مطالعه براي اولين بار روشي جهت ساخت مدلي پويا و کمي معرفي شد که اين امکان را فراهم ميسازد که خطرات ايمني اينگونه صنايع بهطور مداوم و پويا شناسايي، ارزيابي و پايش گردد. پيادهسازي اين مدل در صنايع فرايندي ميتواند ريسک بروز حوادث صنعتي را بهطور قابلملاحظهاي بکاهد و سطح ايمني را ارتقاء دهد.
How to cite this article:
Zarei E, Mohammadfam I, Azadeh A, Mirzaei-Aliabadi M. Dynamic Process Accident Analysis: Comparison of Bow tie and Bayesian Network Models. J Saf Promot Inj Prev. 2017; 5(4):201-12 .
 
Cataglyphis laylae Cedric A. Collingwood & Donat Agosti & Mostafa R. Sharaf & Antonius van Harten 2011, nov. spec.
Cataglyphis laylae Collingwood nov. spec. Plates 96–103 Cataglyphis desertorum Forel, 1894, teste Collingwood, 1985; unavailable name according to Agosti (1990). Specimens examined: Holotype: 1 ☿, United Arab Emirates, al-Ain [24°13'N 55°46'E], iii.1995, leg. C.A. Collingwood (MHNG). Paratypes: 3 ☿, al-Ain zoo, 13.iii.2005, CAC. 1 ☿, Remah, 9.iii.1995, CCA. 3 ☿, Remah, resthouse, 250 m, irrigated sand dune [24°10'37"N 55°18'6"E], 18.iii.1995, leg. D. Agosti. 6 ☿, Remah, resthouse, 250 m, irrigated sand dune, nest with one entrance, [24°10'37"N, 55°18'6"E], 18.iii.1995, leg. D. Agosti. 1 ☿, Sharjah Desert Park, 5–6.x.2004, AvH; 1 ☿, 3.iii.2005, CAC. 1 ☿, al- Za'aba, 100 m, sandy soil with Rhaisa stricta [23°43'20"N, 55°33'49"E], 22.iii.1995, leg. D. Agosti. Description: A large worker from al-Ain was selected as holotype. The measurements are as follows: total length 8.40; head width 3.60; head length 4.20; scape length 3.84; funicular segment I 0.40; funicular segment II 0.23; petiole length 1.10; petiole width 0.72. Colour dark reddish brown. There are no exterior hairs on the scapes or hind tibia. The gaster, petiole and propodeum have dorsal hairs. Remarks: This species thought to correspond with C. desertorum has to be described as a new species. In fact it is one of the commonest Cataglyphis in southern Arabia. The main distinguishing feature compared with other dark Cataglyphis is the slender petiole, which has the anterior face more sloped than in other similar species such as C. niger (André, 1882) and C. savignyi (Dufour, 1862). Biology: Cataglyphus laylae nov. spec. does not appear to occur in open sandy desert and is most abundant in disturbed habitats such as man-developed plantations and open cultivated fields. Distribution: This species was recorded by Collingwood (1985) as C. desertorum from Saudi Arabia and Oman and as Cataglyphis spec. by Collingwood & Agosti (1996). Etymology: The new species is named after a village settlement called “Layla”, just north of Riyadh (Saudi Arabia) in the area where the author (CAC) first encountered it in numbers in an Acacia plantation.Published as part of Cedric A. Collingwood, Donat Agosti, Mostafa R. Sharaf & Antonius van Harten, 2011, Order Hymenoptera, family Formicidae, pp. 1-70 in Arthropod fauna of the UAE 4 on page 54, DOI: 10.5281/zenodo.116858
Cooperative Multi Agent Search and Coverage in Uncertain Environments
In this dissertation, the cooperative multi agent search and coverage problem in uncertain environments is investigated. Each agent individually plans its desired trajectory. The agents exchange their positions and their sensors’ measurement with their neighbouring agents through a communication channel in order to maintain the cooperation objective.
Different aspects of multi agent search and coverage problem are investigated. Several models for uncertain environments are proposed and the updating rules for the probability maps are provided. Each of this models is appropriate for a specific type of problems. The cooperative search mission is first converted to a decentralized multi agent optimal path planning problem, using rolling horizon dynamic programming approach which is a mid-level controller. To make cooperation between agents possible, two approximation methods are proposed to modify the objective function of agents and to take into the account the decision of other agents. The simulation results show the proposed methods can considerably increase the performance of mission without significantly increasing the computation burden. This approach is then extended for the case with known communication delay between mobile agents. The simulation results show the proposed methods can compensate for the effect of known communication delay between mobile agents. A Voronoi-based search strategy for a team of mobile agents with limited range sensors is also proposed which combines both mid-level and low-level controllers. The strategy includes the short-term objective of maximizing the uncertainty reduction in the next step, the long-term objective of distributing the agents in the environment with minimum overlap in their sensory domain, and the collision avoidance constraint. The simulation results show the proposed control law can reduce the value of uncertainty in the environment below any desired threshold.
For the search and coverage problem, we first introduce a framework that includes two types of agents; search agents and coverage agents. The problem is formulated such that the information about the position of the targets is updated by the search agents. The coverage agents use this information to concentrate around the more important areas in the environment. The proposed cooperative search method, along with a well-known Centroidal Voronoi Configuration method for coverage, is used to solve the problem. The effectiveness of the proposed algorithm is demonstrated by simulation and experiment. We then introduce the “limited turn rate Voronoi diagram” and formulate the search and coverage problem as a multi-objective optimization problem with different constraints which is able to consider practical issues like minimum fuel consumption, refueling, obstacle avoidance, and collision avoidance. In this approach, there is only one type of agents which performs both search and coverage tasks. The “multi agent search and coverage problem” is formulated such that the “multi agent search problem” and “multi agent coverage problem” are special cases of this problem. The simulation results show the effectiveness of the proposed method
Thermal buckling of temperature-dependent composite super elliptical plates reinforced with carbon nanotubes
Digital amplification for pathogen detection in bloodstream infections from whole blood
Sensitive and specific detection of bacteria is essential for control and treatment of bloodstream infections. Sepsis, a diagnostic challenge of blood stream infections, causes thousands of deaths each year. The gold standard for detection and identification of microorganisms is blood culture, which can take up to 5 days to yield a diagnosis or a negative result. Molecular diagnostic methods and nucleic acid assays developed to detect pathogens often require enrichment through blood culture prior to DNA extraction. Nonetheless, state of the art diagnostic tests that detect pathogens directly from blood are available with limitations. Increased amount of sample processing and purification is required before detection of pathogens and turnaround time to results can be up to 8 hours. Moreover, the sensitivity and specificity of such assays are broad in range. Thus, there is a need for a rapid detection method that can identify pathogens from whole blood within 1-2 hours, with minimal sample processing and high sensitivity and specificity.
In this work, we demonstrate detection of bacterial pathogens from whole blood through loop mediated isothermal amplification without the steps of DNA purification and extraction. Whole blood with pathogens is dried to tubes, creating separated phases of the cellular debris of blood from the amplification reaction and allowing for separation of background human DNA from target DNA as well as better detection of amplicons that are not masked by red blood cells. We show that this method is robust, having a detection limit of 1 cfu of pathogens in 4uL of whole blood. In preparation of processing higher blood volumes in a digital amplification method, we also show characterization experiments and preliminary results of amplification of pathogens from whole blood on chip.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01The student, Ariana Mostafa, accepted the attached license on 2019-12-04 at 05:15.The student, Ariana Mostafa, submitted this Thesis for approval on 2019-12-04 at 05:29.This Thesis was approved for publication on 2019-12-05 at 09:04.DSpace SAF Submission Ingestion Package generated from Vireo submission #14686 on 2020-02-28 at 17:23:14Made available in DSpace on 2020-03-02T22:15:06Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-12-05Embargo set by: Seth Robbins for item 113911
Lift date: 2022-03-02T22:15:21Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 113911
Lift date: 2022-03-02T22:18:25Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 113911 on 2022-03-03T10:15:22Z
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