255 research outputs found
Designing a power control strategy in a microgrid using PID/fuzzy controller based on battery energy storage
No full textPower stability based on energy storage systems to share the load between distributed generations (DG) in island mode is the main issue in the microgrids (MGs). Stability is an important component in energy management and planning of MG. At the first part of this article, definitions and stability issues classification are presented. In this article, power control based on active power method is analyzed. MG system control due to stability improvement in islanding mode (autonomous mode) after fault occurrence at the upstream network are been studying. In this article, MG included two DG units. These DG units and loads are connected in parallel at the point of common coupling (PCC). In islanding mode, according to violence dependence of system's dynamic to local load changes and stability improvement after fault occurrence, the design of controller algorithm is necessary. In this article, demonstrated that to frequency-load control, one of DG units is master and the other one is slave. Proposed controller based on energy storage system is designed according to load uncertain. In the final section, due to demonstrating the improvement and superior robustness of proposed controller to load dynamic, fault occurrence in system and controller capability in over demand supply and decrease short term produced power, frequency and voltage control by energy storage system. Consider a comparison between classic and proposed controller. Proposed control strategy under two scenarios (load change and fault occurrence) has a good performance. Finally, propose controller superior robustness performance evaluated by MATLAB/Simulink
VAS910055 Supplemental Material - Supplemental material for Humoral and cellular immune response to Buerger’s disease
No full textSupplemental material, VAS910055 Supplemental Material for Humoral and cellular immune response to Buerger’s disease by Seyed Morteza Ehteshamfar, Jalil Tavakkol Afshari, Mohammad-Hadi S. Modaghegh, Mahmoud Mahmoudi, Gholam Hosein Kazemzadeh and Fatemeh Sadeghipour Kermani in Vascular</p
A colorimetric assay of DNA methyltransferase activity based on peroxidase mimicking of DNA template Ag/Pt bimetallic nanoclusters
No full textDNA methylation catalyzed by DNA methyl transferase (MTase) is a significant epigenetic process for modulating gene expression. Abnormal levels of DNA MTase enzyme have been regarded as a cancer biomarker or a sign of bacterial diseases. We developed a novel colorimetric method to assay M.SssI MTase activity employing peroxidase-like activity of DNA template Ag/Pt NCs without using restriction enzymes. Based on inhibiting the peroxidase reaction that occurred in the TMB-H2O2system, in the presence of MTase, a highly sensitive and selective colorimetric biosensor was fabricated with a detection limit (LOD) of 0.05 U/mL and a linear range from 0.5 to 10 U/mL. The changes in absorption intensity were monitored to quantify the M.SssI activity. This strategy had a high selectivity over other proteins. Furthermore, it is also demonstrated that this method can be used for the evaluation and screening of inhibitors for DNA MTase
An Investigation into the Elements of Lyrics in the Poem of Homay and Homayoun by Khaju Kermani
No full textLyric includes a wide range of subjects and poetic formats. Specifically, it is a type of poem in which the element of emotion is dominant and naturally it has some components that have made it different from other types. In the present study, the author investigated the indicators of lyrics in the story of Homay and Homayoun by Khaju Kermani and the poet pays attention to rhetorical principles and the relationship with the audience. Components that this study has been written based on them are the personalization of "I" in lyrics and introspection, being romantic-mystical, compounds of lyrics, descriptions, and metaphors, investigation of battles and banquets, etc. which is matched by expressing some examples of Khaju's poems. The general purpose of the research is how these components are manifested in Homay and Homayoun? The result of the research is that; the mighty poet has paid attention to the form and meaning and the way they are used and their impact on the reader. This literal type enjoys a great deal of lyrics value due to the usage of battle and mythological elements by Khaju and ethical points(doctrinal) that are specific to other types, and the emergence of lyrics indicators is outstanding in the way that it covers epic and ethical indicators. The imagination power of the poet and using these features have turned the work into a lyric and made it a special one
Exploring the pattern of Islamic social movements : four case studies
No full textThis thesis is a study of Iranian-Islamic social movements. Iran has witnessed four major social movements in the late nineteenth and twentieth century. Except for the
Islamic Revolution of 1978-79 which attracted a great deal of sociological attention, and the Constitutional Revolution which has received some specialist study, the other two, regardless of their importance and influence in the Iranian history, have been grossly neglected. In order to have a better sociological understanding and a more
general model of this type of social movements there is need to review all of them according to the same theory and with an identical method. These cases which are
explored in this study are: the Tobacco Movement (1892) - an 'anti colonialism' movement, the Constitutional Revolution (1905-1906) - a 'justice' movement, the 15th
of Khordad movement (1963) - an 'anti modernisation' movement, and the last in chain, the Islamic Revolution of 1978-79 - an 'anti imperialism' movement.
This thesis also attempts to provide a contribution to the theory of social movements with a review and synthesis of the existing major theories of the area. Ten key social
movement theories are reviewed and a new synthetic one is developed. The models under review belong to Smelser (1962), Davies (1962), Toch (1966), Blumer (1969),
Wilson (1973), Tilly (1978), Touraine (1981), McCarthy and Zald (1987), Melucci (1989) and Scott (1990). These theories identify quite different 'engines' of the social
movement and thus can be classified according to whether they regard the individual, society, or their relations as the main cause or initiator of the social movements.
Following the discussions of the relationship between the individual and society, this thesis recognises the need for an approach to social explanation which looks at the fine
texture of the interrelationship of the structure, agency, and their relations, and so proposes a 'synthetic' theory of social movements which recognises the importance of
the conjunction of the three elements of the individualist, the structural and the relationalist models. In this theory of social movements, social context provides the ground for the underlying mechanism of the movement to be released. Ideology plays the part of the relational factor between the individual and the society. It is the main mobilisational factor of social movements. Actors then 'perform' the movements at three levels of social actions: leadership, distribution, and enactment of the outburst.
The synthetic theory provides a framework for a more comprehensive study of the four cases. Each of the movements is explained using it as a 'conceptual grid' and it is shown on each occasion to be useful tool in identifying the main agents, antagonisms, ideologies, social opportunities and constraints, and the accomplishment of the movements. So whilst the movements vary by 'focus' and by 'success' it is shown that it is Islamic ideology which shapes the goals of 'justice', 'freedom', 'independence' and 'democracy'. In all of the reviewed movements the authority of the shah came into dispute with the command of the ulama, and it was religious rituals and organisations which mobilised the people.
Whilst the synthetic theory proposed here can provide an analytic framework with which to compare the movements, the history of the analysed movements reveals the significance of the 'political sociology' of Iran's last hundred years. This dimention provides an understanding of some of the 'initial conditins' which underpin the Iranian
social movements. The thesis attempts to outline some crucial elements in this sociopolitical history, and attest their importance by examination of one further Iranian
social movement, the National Movement of Iran (195 1-1953). This was a predominantly non-Islamic movement which failed because it declined to take the advantage of the authority of the ulama as one of the major sways at the socio-political setting of Iranian society.
The adequacy of the resultant knowledge from the proposed model of Iranian-Islamic social movements is further tested against the some writings of nine scholars on Iranian
social movements: Fischer (1980), Milani (1988), Parsa (1989), Amuzegar (1991), Ray (1993), Zubaida (1993), Moaddel (1993), Foran (1994) and Keddie (1995)
Erratum: A survey of medical students\u27 attitudes and practices towards narcotics and psychotropic drugs
No full textThere was an error in the author list of the published article.Two authors (A Kohansal Vajargah, K Ghaderi) requested to add to the authors lists. After obtaining the agreement of the authors and the corresponding author, and describing author contributions, Editor-in-Chief accept the corrections as listed below.The correct author list is:Shahab Dastmardi, Alireza Kohansal Vajargah, Morteza Rahbar Taromsari, Hamid Mohammadi Kojidi, Ardalan Majidinia, Fariba Asgari Bozayeh, Kaveh Ghaderi, Kourosh Delpasand We apologize for any inconvenience this may have caused. Erratum for:A survey of medical students\u27 attitudes and practices towards narcotics and psychotropic drugsShahab Dastmardi, Morteza Rahbar Taromsari, Hamid Mohammadi Kojidi, Ardalan Majidinia, Fariba Asgari Bozayeh, Kourosh DelpasandJ Curr Biomed Rep. 2021; 2(3): 120-124
A novel hazard avoidance model based on young drivers’ characteristics: A driving simulator study
No full textThis paper aims to examine the key factors influencing young drivers’ hazard avoidance in Iran. In this study, a hazard avoidance index is defined and calculated for investigating the effect of impulsiveness, behavioral, and psychological characteristics on driving hazard avoidance. A questionnaire and go-no-go and flanker computer tests as well as a driving simulator are used for collecting data from 173 Iranian drivers under the age of 30. For this purpose, different scenarios were used, such as pedestrian crossing, the presence of fixed obstacles, and animals crossing the road, whose various characteristics are also changed. Structural equation modeling and the partial least squares method are applied for investigating the relationship between different variables and the hazard avoidance index. The results show that the driver hazard avoidance index is mostly affected by variables such as inhibitory control, opposite directional response, attentional impulsiveness, motion impulsiveness, non-planning impulsiveness, disregarding the law, and lapses and error. The results could help policymakers to assess diving hazard avoidance and improve training programs related to traffic safety based on the variables that are more effective on inexperienced and novice drivers’ hazard avoidanceSpecial thanks should be expressed to Ali Nahvi, and their employees, who helped build simulation scenarios and assess hazard avoidance in the driving simulator in the virtual reality laboratory of Khajeh Nasir al-Din Toosi University.
The author(s) reported there is no funding associated with the work featured in this article
Quantifying the environmental impact on individuals' well-being in risk analysis
No full textCatastrophes, such as the Deepwater Horizon oil spill, and the Chernobyl nuclear power plant explosion, exemplify how accidents that damage the environment affect society in ways that exceed human and property losses. Environmental damages caused by disasters are often continuous, influencing a broader portion of society, and might continually affect future generations moreso than the acute impacts associated with human health risks. As this paper demonstrates, policies in the United States and abroad affirm the importance of protecting the environment as a common asset for current and future members of society. The Environmental Impact Assessment (EIA) is a required common tool implemented by decision-makers to analyze the environmental impacts of their actions. Analysts around the world use various methods and techniques to assess the impacts of human actions on the environment. However, the effect of environmental impacts on individuals’ well-being is not sufficiently assessed in current EIA methodologies. Although current methodologies discuss how the environment may be changed by a particular human action, the scholarship does not sufficiently address questions related to how the affected environment can change human life. In response, this paper aims to improve the completeness of EIA methodologies by proposing a capability approach for assessing the effect of environmental impacts on humans’ well-being. Two human capabilities are specified to explicitly address the environmental impacts of human actions. Evaluating the proposed capabilities in EIA procedures can enrich and complement current EIA practices and more fully assess human actions’ impacts.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-08-01The student, Morteza Tavanaie Marvi, accepted the attached license on 2015-07-24 at 10:18.The student, Morteza Tavanaie Marvi, submitted this Thesis for approval on 2015-07-24 at 10:25.This Thesis was approved for publication on 2015-07-24 at 11:12.DSpace SAF Submission Ingestion Package generated from Vireo submission #7976 on 2015-09-29 at 15:04:56Made available in DSpace on 2015-09-29T21:02:39Z (GMT). No. of bitstreams: 2
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Mining High Utility Patterns Over Data Streams
No full textMining useful patterns from sequential data is a challenging topic in data mining. An important task for mining sequential data is sequential pattern mining, which discovers sequences of itemsets that frequently appear in a sequence database. In sequential pattern mining, the selection of sequences is generally based on the frequency/support framework. However, most of the patterns returned by sequential pattern mining may not be informative enough to business people and are not particularly related to a business objective. In view of this, high utility sequential pattern (HUSP) mining has emerged as a novel research topic in data mining recently. The main objective of HUSP mining is to extract valuable and useful sequential patterns from data by considering the utility of a pattern that captures a business objective (e.g., profit, users interest). In HUSP mining, the goal is to find sequences whose utility in the database is no less than a user-specified minimum utility threshold. Nowadays, many applications generate a huge volume of data in the form of data streams. A number of studies have been conducted on mining HUSPs, but they are mainly intended for non-streaming data and thus do not take data stream characteristics into consideration. Mining HUSP from such data poses many challenges. First, it is infeasible to keep all streaming data in the memory due to the high volume of data accumulated over time. Second, mining algorithms need to process the arriving data in real time with one scan of data. Third, depending on the minimum utility threshold value, the number of patterns returned by a HUSP mining algorithm can be large and overwhelms the user. In general, it is hard for the user to determine the value for the threshold. Thus, algorithms that can find the most valuable patterns (i.e., top-k high utility patterns) are more desirable. Mining the most valuable patterns is interesting in both static data and data streams. To address these research limitations and challenges, this dissertation proposes techniques and algorithms for mining high utility sequential patterns over data streams. We work on mining HUSPs over both a long portion of a data stream and a short period of time. We also work on how to efficiently identify the most significant high utility patterns (namely, the top-k high utility patterns) over data streams. In the first part, we explore a fundamental problem that is how the limited memory space can be well utilized to produce high quality HUSPs over the entire data stream. An approximation algorithm, called MAHUSP, is designed which employs memory adaptive mechanisms to use a bounded portion of memory, to efficiently discover HUSPs over the entire data streams. The second part of the dissertation presents a new sliding window-based algorithm to discover recent high utility sequential patterns over data streams. A novel data structure named HUSP-Tree is proposed to maintain the essential information for mining recenT HUSPs. An efficient and single-pass algorithm named HUSP-Stream is proposed to generate recent HUSPs from HUSP-Tree. The third part addresses the problem of top-k high utility pattern mining over data streams. Two novel methods, named T-HUDS and T-HUSP, for finding top-k high utility patterns over a data stream are proposed. T-HUDS discovers top-k high utility itemsets and T-HUSP discovers top-k high utility sequential patterns over a data stream. T-HUDS is based on a compressed tree structure, called HUDS-Tree, that can be used to efficiently find potential top-k high utility itemsets over data streams. T-HUSP incrementally maintains the content of top-k HUSPs in a data stream in a summary data structure, named TKList, and discovers top-k HUSPs efficiently. All of the algorithms are evaluated using both synthetic and real datasets. The performances, including the running time, memory consumption, precision, recall and Fmeasure, are compared. In order to show the effectiveness and efficiency of the proposed methods in reallife applications, the fourth part of this dissertation presents applications of one of the proposed methods (i.e., MAHUSP) to extract meaningful patterns from a real web clickstream dataset and a real biosequence dataset. The utility-based sequential patterns are compared with the patterns in the frequency/support framework. The results show that high utility sequential pattern mining provides meaningful patterns in real-life applications
Changes in electrocardiographic indices during the first two days of life in lambs and goat kids
No full textIn the current study, we aimed to establish reference values for most important electrocardiographic (ECG) indices during the first two days of life in lambs and goat kids. A total of 40 animals (20 lambs and 20 goat kids) were enrolled into the study from birth to two days of age. The neonates were born to Kermani ewes and Cashmere (Raini) does of 3 years of age weighing 42 ± 1 and 30 ± 2 kg, respectively. Heart rate (HR) was significantly decreased within the first 48 and 24 h after birth, respectively (P < 0.01). Amplitudes and durations of P, QRS and T waves were not significantly changed from baseline during the first two days of life. The lengths of PR and RR intervals were significantly prolonged during the first 48 h after birth (P < 0.01). There were significant differences (P < 0.05) in the prevalence of cardiac arrhythmias during the entire course of experiment. It is concluded that ECG indices showed age-related differences in newborn lambs and goat kids during the 48 h study period. The author suggested that the changes in ECG indices are normal and could be attributed to both colostrum absorption and physiological development of a newborn
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