171 research outputs found
sj-doc-1-smo-10.1177_20503121231208273 – Supplemental material for Social stigma during COVID-19: A systematic review
No full textSupplemental material, sj-doc-1-smo-10.1177_20503121231208273 for Social stigma during COVID-19: A systematic review by SeyedAhmad SeyedAlinaghi, Amir Masoud Afsahi, Ramin Shahidi, Arian Afzalian, Pegah Mirzapour, Mohammad Eslami, Sepide Ahmadi, Parisa Matini, Soudabeh Yarmohammadi, Seyed Saeed Tamehri Zadeh, Pooria Asili, Parinaz Paranjkhoo, Maryam Ramezani, Sahar Nooralioghli Parikhani, Foziye Sanaati, Iman Amiri Fard, Elham Emamgholizade Baboli, Somaye Mansouri, Ava Pashaei, Esmaeil Mehraeen and Daniel Hackett in SAGE Open Medicine</p
An Ontological Approach to the Innate Cognition in Human Being Emphasizing the Principles of Transcendental Wisdom
No full textHuman, who is the symbol of the Divine Names and has displayed a glorious resemblance to his Creator from among the creatures, alongside the wisdom, has taken his glory from an innate nature based on the divine nature. This gift, which has been expanded in both the cognitive aspect and the tendencies of human beings, has made his essence insightful, which is also the source of his innate desires. After dividing the innate perceptions into the knowledge by presence and the knowledge by acquisition, the innate perceptions of the knowledge by presence is the immediate reception of information that has been intertwined with human nature. Explaining the features such as the existence of the innate cognitions by presence, its skepticism, and also the examination of how the union is between the knowing to innate cognition and its known among the ontological coordinates of this knowledge in man. Undoubtedly the incomparable precisions of the transcendental wisdom among the philosophical schools has been the only reason the author has discussed the subject of this study from the same perspective
Designing a low-noise, high-resolution, and portable four channel acquisition system for recording surface electromyographic signal
No full textIn current years, the application of biopotential signals has received a lot of attention in literature. One of these signals is an electromyogram (EMG) generated by active muscles. Surface EMG (sEMG) signal is recorded over the skin, as the representative of the muscle activity. Since its amplitude can be as low as 50 μV, it is sensitive to undesirable noise signals such as power-line interferences. This study aims at designing a battery-powered portable four-channel sEMG signal acquisition system. The performance of the proposed system was assessed in terms of the input voltage and current noise, noise distribution, synchronization and input noise level among different channels. The results indicated that the designed system had several inbuilt operational merits such as low referred to input noise (lower than 0.56 μV between 8 Hz and 1000 Hz), considerable elimination of power-line interference and satisfactory recorded signal quality in terms of signal-to-noise ratio. The muscle conduction velocity was also estimated using the proposed system on the brachial biceps muscle during isometric contraction. The estimated values were in then normal ranges. In addition, the system included a modular configuration to increase the number of recording channels up to 96
Supplementary material 3 from: Mohseni MR, Pashaei Rad S (2021) The effect of edaphic factors on the distribution and abundance of ants (Hymenoptera: Formicidae) in Iran. Biodiversity Data Journal 9: e54843. https://doi.org/10.3897/BDJ.9.e54843
No full textResults of SIMPER analysis showing the contribution of top-ten ant species differentiating assemblage structures of habitat
Contemplation on Plot and Personification in Tehran Makhuf
No full textAbstract
Story is one of the important and influential literary genres that deserves to research on its structure and content .By study and analysis of a story, the reader could comprehend the textual messages and change his attitude toward life and different issues .After defining of the social novel, the author tries to analyze plot and personification in novel of “Tehran-e- Makhuf” and respond to the questions on the method employed for plot and personification and analyze it from plot and its components such as conflict, suspension and resolution and compare the differences and similarities between old tales and modern novels.
The plot of “Tehran-e- Makhuf” is not so complex due to its subject and content and natural order of events dominates on artificial discipline and it lacks open plot. Of main elements of plot, conflict is more outstanding here. This novel is full of emotional and moral conflicts and there is no similarity with historical novels that describe good and bad conflicts. Cause and effect relationship is main element of plot that shadows on the story events .In “Tehrna-e- Makhuf”, the author tries to violate the principles and cause to imbalance in natural events sequences with discomposing rational and experiential relationship and take action toward artificiality and unnatural suspension. In creating suspension by emphasis on incidences in some extremist cases, Kazemi tries to found the story based on the considerable sequence of events and this conduct reduces quality of the story significantly and leads to imbalance in rational and acceptable discipline.
Kazemi employs direct or reporting personification mostly. This novel lacks diversity in personage considerably .All characters speak in similar style and there is no particular speech style. The personification of Kazemi in “Tehran-e-Makhuf” is continuous and interdependent in style of old tales and novel in European account. In some cases, he approaches to story characters specifications and in other cases, he distances from traditional personification due to familiarity with western countries particularly Russian and French writers .Indeed, it can be said that personification in “Tehran-e- Makhuf” is passing from traditional to modern and western style.
The characters of “Tehran-e- Makhuf” are classified in two categories: the first category involves aristocrats and their purpose is power and wealth and prevention of any social shift. They are identified by traits like “reveler”, “hypocrite”, “stingy” and “rich” .The characters like Siyavash Mirza, F.Saltaneh, Shazdeh and Ali Ashraf khan are in this group .The second category is identified by traits like “noble”, “loyal”, “sufferer “ and “patient” and they are common people. Characters like Farrokh, Javad, servant of Farrokh, Mahin and Efat are in this group and they are noble and humanely and good .The main and secondary personages are constant and static in this novel .They attend in the story without changing. All characters introduced by Kazemi in “Tehran-e- Makhuf” are real and they reflect society realities .The characters reflect historical and social realities of particular place and tim
Figure 4 from: Mohseni MR, Pashaei Rad S (2021) The effect of edaphic factors on the distribution and abundance of ants (Hymenoptera: Formicidae) in Iran. Biodiversity Data Journal 9: e54843. https://doi.org/10.3897/BDJ.9.e54843
No full textFigure 4 Variation in ant's abundance across different habitat types
Contemplation on Plot and Personification in Tehran Makhuf
No full text Abstract
Story is one of the important and influential literary genres that deserves to research on its structure and content .By study and analysis of a story, the reader could comprehend the textual messages and change his attitude toward life and different issues .After defining of the social novel, the author tries to analyze plot and personification in novel of âTehran-e- Makhufâ and respond to the questions on the method employed for plot and personification and analyze it from plot and its components such as conflict, suspension and resolution and compare the differences and similarities between old tales and modern novels.
 The plot of âTehran-e- Makhufâ is not so complex due to its subject and content and natural order of events dominates on artificial discipline and it lacks open plot. Of main elements of plot, conflict is more outstanding here. This novel is full of emotional and moral conflicts and there is no similarity with historical novels that describe good and bad conflicts. Cause and effect relationship is main element of plot that shadows on the story events .In âTehrna-e- Makhufâ, the author tries to violate the principles and cause to imbalance in natural events sequences with discomposing rational and experiential relationship and take action toward artificiality and unnatural suspension. In creating suspension by emphasis on incidences in some extremist cases, Kazemi tries to found the story based on the considerable sequence of events and this conduct reduces quality of the story significantly and leads to imbalance in rational and acceptable discipline.
 Kazemi employs direct or reporting personification mostly. This novel lacks diversity in personage considerably .All characters speak in similar style and there is no particular speech style. The personification of Kazemi in âTehran-e-Makhufâ is continuous and interdependent in style of old tales and novel in European account. In some cases, he approaches to story characters specifications and in other cases, he distances from traditional personification due to familiarity with western countries particularly Russian and French writers .Indeed, it can be said that personification in âTehran-e- Makhufâ is passing from traditional to modern and western style.
The characters of âTehran-e- Makhufâ are classified in two categories: the first category involves aristocrats and their purpose is power and wealth and prevention of any social shift. They are identified by traits like ârevelerâ, âhypocriteâ, âstingyâ and ârichâ .The characters like Siyavash Mirza, F.Saltaneh, Shazdeh and Ali Ashraf khan are in this group .The second category is identified by traits like ânobleâ, âloyalâ, âsufferer â and âpatientâ and they are common people. Characters like Farrokh, Javad, servant of Farrokh, Mahin and Efat are in this group and they are noble and humanely and good .The main and secondary personages are constant and static in this novel .They attend in the story without changing. All characters introduced by Kazemi in âTehran-e- Makhufâ are real and they reflect society realities .The characters reflect historical and social realities of particular place and tim
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Applications of deep learning and multi-perspective 2D/3D imaging streams for remote terrain characterization of coastal environments
No full textThreats from storms, sea encroachment, and growing population demands put coastal communities at the forefront of engineering and scientific efforts to reduce vulnerabilities for their long-term prosperity. Updated and accurate geospatial information about land cover and elevation (topography) is necessary to monitor and assess the vulnerability of natural and built infrastructure within coastal zones. Advancements in remote sensing (RS) and autonomous systems extend surveying and sensing capabilities to difficult environments, enabling more geospatial data acquisition flexibility, higher spatial resolutions, and allowing humans to “see” in ways previously unattainable. Recent years have witnessed enormous growth in the application of small, unmanned aircraft systems (UASs) equipped with digital cameras for hyperspatial resolution imaging and dense three-dimensional (3D) mapping using structure-from-motion (SfM) photogrammetry techniques. In contrast to photogrammetry, light detection and ranging (lidar) is an active RS technique that uses a pulsed laser mounted on a static or mobile platform (from air or land) to scan in high definition the 3D structure of a scene. Rapid proliferation in lidar technology has resulted in new scanning and imaging modalities with ever increasing capabilities such as geodetic-grade terrestrial laser scanning (TLS) with ranging distances of up to several kilometers from a static tripod. TLS enables 3D sampling of the vertical structure of occluding objects, such as vegetation, and underlying topography. Full waveform (FW) lidar systems have led to a significant increase in the level of information extracted from a backscattered laser signal returned from a scattering object. With this technological advance and increase in remote sensing capabilities and data resolution, comes an increase in information gain at the cost of highly more complex and challenging big data sets to process and extract meaningful information. In this regard, utilizing end-to-end analyzing techniques recently developed in artificial intelligence (AI), in particular, convolutional neural network (CNN), developed under deep learning (DL) framework, seems applicable. DL techniques have recently outperformed state-of-the-art analysis techniques in a wide range of applications including RS.
This work presents the application of DL for efficient exploitation of hyperspatial UAS-SfM photogrammetry and FW TLS data for land cover monitoring and topographic mapping in a coastal zone. Hyperspatial UAS images and TLS point cloud data with additional information about the scattering properties of illuminated target in the footprint of the laser beam encoded in returned waveform signals provide valuable geospatial data resources to uncover the accurate 3D structure of the surveyed environment.
This study presents three main contributions: 1) Evaluation of different DCNN architectures, and their efficiencies, to classify land cover within a complex wetland setting using UAS imagery is investigated; 2) DCNN-based single image super-resolution (SISR) is employed as a pre-processing technique on low-resolution UAS images to predict higher resolution images over coastal terrain with natural and built land cover, and its effectiveness for enhancing dense 3D scene reconstruction with SfM photogrammetry is tested; 3) Full waveform TLS data is employed for point cloud classification and ground surface detection in vegetation using a developed DCNN framework that works directly off of the raw, digitized echo waveforms. Results show that returned raw waveform signals carry more information about a target’s spatial and radiometric properties in the footprint of the laser beam compared to waveform attributes derived from traditional waveform processing techniques. Collectively, this study demonstrates useful information retrieval from hyperspatial resolution 2D/3D RS data streams in a DL analysis framework.Computing SciencesCollege of Science and Engineerin
Advancing Time-Resolved Phase-Contrast MRI Analysis: Development and Application of the Input-Parameterized Physics-Informed Neural Network (IP-PINN)
No full textTime-Resolved Three-Dimensional Phase-Contrast MRI (4D Flow MRI) is a powerful non-invasive technique for quantitatively assessing cardiovascular hemodynamics. Despite its potential, the clinical application of 4D Flow MRI is constrained by coarse spatio-temporal resolution, acquisition noise, and artifacts including velocity aliasing and eddy current induced phase offsets. These limitations compromise the accuracy and reliability of hemodynamic assessments, particularly in complex vascular structures. This thesis proposes a novel deep learning-based framework called the Input-Parameterized Physics Informed Neural Network (IP-PINN) to address these challenges. By integrating advanced machine learning with the underlying physics of blood flow, the IP-PINN framework enhances low-resolution 4D Flow MRI data, attenuates acquisition noise, and mitigates velocity aliasing and phase offset artifacts. The framework leverages a ResNet-based convolutional neural network to encode input data into a latent vector, which is then utilized by a feedforward neural network to produce a continuous spatio-temporal representation of the variables of interest. The IP-PINN’s unique ability to generalize across different datasets by parameterizing the solution with respect to the input velocity-encoded images significantly reduces the need for time-intensive retraining. The IP-PINN does not require ground-truth lables and pre-training with either real low resolution image data or synthetic data from computational fluid dynamics (CFD) simulations enhances the framework's applicability. The IP-PINN preserves the continuous spatio-temporal representation and the ability to generate truncation error-free derivatives characteristic of PINNs, while significantly expediting processing time. Benchmark tests against simulated datasets demonstrate that IP-PINN is over an order of magnitude faster than traditional PINNs, achieving superior accuracy. Additionally, the method generates high-resolution magnitude images for lumen boundary segmentation, relying solely on velocity-encoded scans and negating the need for reference scans. Building on an initial implementation that operated in complex image space and relied on the three velocity-encoded scans, the thesis extends IP-PINNs in two directions. First, reconstruction of three-component, three-dimensional (3D-3C) velocity fields and high-resolution spin-density maps in the vicinity of the imaging plane using data from minimally altered 2D PC-MRI sequence. Second, reconstruction of 3D-3C velocity maps and spin-denisty maps from a pseudo one-point 4D-Flow MRI sequence, that acquires only one velocity-encoded dataset per slice, reducing the raw data burden by 75%. For this extremely sparse regime, the data-fidelity term is reformulated directly in k-space, which preserves the exact acquisition physics, avoids the convolution blurring inherent in image-space. With a dramatically reduced execution time of approximately two minutes, operating on undersampled acquired data, and simplified operational requirements (no need for specifying geometry and boundary conditions), the IP-PINN promises to advance the state-of-the-art in hemodynamic assessment, offering a robust and efficient solution for enhancing time-resoleved PCMRI data, with significant implications for both clinical practice and cardiovascular research
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