با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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1 |
Detection of loosening angle for mark bolted joints with computer vision and geometric imaging
تشخیص زاویه شل شدن اتصالات پیچ شده با بینایی ماشین و تصویربرداری هندسی-2022 Mark bars drawn on the surfaces of bolted joints are widely used to indicate the severity of loosening. The
automatic and accurate determination of the loosening angle of mark bolted joints is a challenging issue that has
not been investigated previously. This determination will release workers from heavy workloads. This study
proposes an automated method for detecting the loosening angle of mark bolted joints by integrating computer
vision and geometric imaging theory. This novel method contained three integrated modules. The first module
used a Keypoint Regional Convolutional Neural Network (Keypoint-RCNN)-based deep learning algorithm to
detect five keypoints and locate the region of interest (RoI). The second module recognised the mark ellipse and
mark points using the transformation of the five detected keypoints and several image processing technologies
such as dilation and expansion algorithms, a skeleton algorithm, and the least square method. In the last module,
according to the geometric imaging theory, we derived a precise expression to calculate the loosening angle using
the information for the mark points and mark ellipse. In lab-scale and real-scale environments, the average
relative detection error was only 3.5%. This indicated that our method could accurately calculate the loosening
angles of marked bolted joints even when the images were captured from an arbitrary view. In the future, some
segmentation algorithms based on deep learning, distortion correction, accurate angle and length measuring
instruments, and advanced transformation methods can be applied to further improve detection accuracy. keywords: Mark bolted joint | Loosening detection | Keypoint-RCNN | Image processing | Geometric imaging |
مقاله انگلیسی |
2 |
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
Cov-Net: یک روش تشخیصی به کمک رایانه برای تشخیص COVID-19 از تصاویر اشعه ایکس قفسه سینه از طریق بینایی ماشین-2022 In the context of global pandemic Coronavirus disease 2019 (COVID-19) that threatens life of all human
beings, it is of vital importance to achieve early detection of COVID-19 among symptomatic patients. In this
paper, a computer aided diagnosis (CAD) model Cov-Net is proposed for accurate recognition of COVID-19
from chest X-ray images via machine vision techniques, which mainly concentrates on powerful and robust
feature learning ability. In particular, a modified residual network with asymmetric convolution and attention
mechanism embedded is selected as the backbone of feature extractor, after which skip-connected dilated
convolution with varying dilation rates is applied to achieve sufficient feature fusion among high-level semantic
and low-level detailed information. Experimental results on two public COVID-19 radiography databases have
demonstrated the practicality of proposed Cov-Net in accurate COVID-19 recognition with accuracy of 0.9966
and 0.9901, respectively. Furthermore, within same experimental conditions, proposed Cov-Net outperforms
other six state-of-the-art computer vision algorithms, which validates the superiority and competitiveness of
Cov-Net in building highly discriminative features from the perspective of methodology. Hence, it is deemed
that proposed Cov-Net has a good generalization ability so that it can be applied to other CAD scenarios.
Consequently, one can conclude that this work has both practical value in providing reliable reference to the
radiologist and theoretical significance in developing methods to build robust features with strong presentation
ability.
keywords: COVID-19 | Computer aided diagnosis (CAD) | Feature learning | Image recognition | Machine vision |
مقاله انگلیسی |
3 |
Approximate Unitary Designs Give Rise to Quantum Channels With Super Additive Classical Holevo Capacity
ایجاد طرحهای یکپارچه تقریبی کانالهای کوانتومی با ظرفیت هولوو کلاسیک فوق اضافی-2022 In a breakthrough, Hastings showed that there exist quantum channels whose classical Holevo capacity is superadditive i.e. more classical information can be transmitted by quantum encoding strategies entangled across multiple channel uses as compared to unentangled quantum encoding strategies. Hastings’ proof used Haar random unitaries to exhibit superadditivity. In this paper we show that a unitary chosen uniformly at random from an approximate $n^{2/3}$ -design gives rise to a quantum channel with superadditive classical Holevo capacity, where $n$ is the dimension of the unitary exhibiting the Stinespring dilation of the channel superoperator. We follow the geometric functional analytic approach of Aubrun, Szarek and Werner in order to prove our result. More precisely we prove a sharp Dvoretzky-like theorem stating that, with high probability under the choice of a unitary from an approximate $t$ -design, random subspaces of large dimension make a Lipschitz function take almost constant value. Such theorems were known earlier only for Haar random unitaries. We obtain our result by appealing to Low’s technique for proving concentration of measure for an approximate $t$ -design, combined with a stratified analysis of the variational behaviour of Lipschitz functions on the unit sphere in high dimension. The stratified analysis is the main technical advance of this work. Haar random unitaries require at least $Omega (n^{2})$ random bits in order to describe them with good precision. In contrast, there exist exact $n^{2/3}$ -designs using only $O(n^{2/3} log n)$ random bits. Thus, our work can be viewed as a partial derandomisation of Hastings’ result, and a step towards the quest of finding an explicit quantum channel with superadditive classical Holevo capacity. Finally we also show that for any $p > 1$ , approximate unitary $n^{1.7}$ -designs give rise to channels violating subadditivity of Rényi $p$ -entropy. In addition to stratified analysis, the proof of this result uses a new technique of approximating a monotonic differentiable function defined on a closed bounded interval and its derivative by moderate degree polynomials which should be of independent interest.
Index Terms—Quantum Channels. |
مقاله انگلیسی |
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The role of peripheral ocular length and peripheral corneal radius of curvature in determining refractive error
نقش طول چشم محیطی و شعاع انحنای قرنیه محیطی در تعیین خطای شکست-2021 Purpose: The purpose of this study was to extend the knowledge of peripheral biometric
component and its relationship to refractive status in healthy individuals by determining the correlation between peripheral ocular length to peripheral corneal radius ratio and the refractive
error.
Methods: This prospective study was conducted on thirty-three healthy adult participants. Refractive error was assessed objectively and subjectively and recorded as the mean spherical equivalent. Central and peripheral ocular lengths at 30◦ were assessed using partial coherence interferometry under dilation with 1% tropicamide. Central and peripheral corneal radius of curvature was assessed using Scheimpflug topography. Peripheral ocular lengths at 30◦ were paired with peripheral corneal curvatures at the incident points of the IOLMaster beam (3.8 mm away from corneal apex) superiorly, inferiorly, temporally and nasally to calculate the peripheral ocular length-peripheral corneal radius ratio. Descriptive statistics were used to describe the distribution and spread of the data. Pearson’s correlation analysis was used to present the association between biometric and refractive variables. Results: Refractive error was negatively correlated with the axial length-central corneal radius ratio (r = −0.91; p < 0.001) and with 30◦ peripheral ocular length-peripheral corneal radius ratio in all four meridians (r ≤ −0.76; p < 0.001). The strength of the correlation was considerably lower when only axial length or peripheral ocular lengths were used. Conclusion: Using the ratios of peripheral ocular length-peripheral corneal radius to predict refractive error is more effective than using peripheral corneal radius or peripheral ocular length alone. KEYWORDS: Refractive error | Myopia | Peripheral ocular length | Peripheral corneal radius of curvature | Axial length |
مقاله انگلیسی |
5 |
Factors associated with abortion at 12 or more weeks gestation after implementation of a restrictive Texas law
عوامل مرتبط با سقط جنین در 12 یا بیشتر از هفته های حاملگی پس از اجرای قانون محدود کننده تگزاس-2020 Objective: To examine factors associated with obtaining abortion at 12 or more weeks gestation in
26 Texas after implementation of a restrictive law.
27 Study Design: In this retrospective cohort study, we collected data from eight Texas abortion clinics that
28 provided services at 12 or more weeks gestation from April 1, 2015 to March 30, 2016, after a restrictive
29 abortion law enacted in November 2013 shuttered many of the state’s clinics. We examined factors
30 associated with obtaining in-clinic abortion services between 3-11 versus 12-24 weeks gestation
31 including patient race-ethnicity, income level, and driving distance to the clinic using chi-square tests
32 and calculating odds ratios. We further subcategorized abortion between 15-24 weeks to determine
33 who may be most affected by a Texas law banning dilation and evacuation (D&E).
34 Results: Among 24,555 in-clinic abortions, 19.2% (n=4,714) occurred at 12 or more weeks gestation.
35 Compared to patients who obtained care between 3-11 weeks, those who obtained care at 12 or more
36 weeks were more likely to be Black than White (OR 1.18; 95% CI 1.05-1.31), live ≤110% of the federal
37 poverty level than have higher income (OR 2.09; 95% CI 1.94-2.26), and drive 50+ miles than 1-24 miles
38 to obtain care (OR 1.25; 95% CI 1.15-1.38). These associations remained for those obtaining care
39 between 15-24 weeks. Even after adjusting for race-ethnicity and driving distance, low-income patients
40 had greater odds of obtaining care in between 15-24 weeks (aOR 1.52; 95% CI 1.21-1.91).
41 Conclusions: Patients obtaining abortion at 12 or more weeks gestation in Texas are more likely Black, low-income, and travel far distances to obtain in-clinic care.
43 Implications: In Texas, patients who are Black, low-income, and travel the farthest are more likely to
44 obtain in-clinic abortion between 15-24 weeks gestation, commonly performed via D&E. If Texas Senate
45 Bill 8 (SB8) banning D&E goes into effect, these patients may be prevented from obtaining care. |
مقاله انگلیسی |
6 |
Computational analysis of NIRS and BOLD signal from neurovascular coupling with three neuron-system feedforward inhibition network
تجزیه و تحلیل محاسباتی سیگنال های NIRS و BOLD از اتصال جفت عصبی عروقی با سه شبکه مهار کننده تغذیه ای سیستم عصبی-2020 Several neurological disorders occur due to hypoxic condition in brain arising from impairment of cere- bral functionality, which can be controlled by neural stimulation driven vasoactive response mediated through biological response in astrocyte, a phenomenon known as neurovascular coupling. Brain can ad- just with the problem of hypoxic condition by causing vasodilation with the help of this mechanism. To deduce the mechanism behind vasodilation of blood vessel caused by neuronal stimulus, current study articulates a mathematical model involving neuronal system feedforward inhibition network model (FFI) with two other functional components of neurovascular coupling, i.e. astrocyte and smooth muscle cell lining blood vessel. This study includes the neural inhibition network system where glutamatergic pyra- midal neuron and GABAergic interneuron act antagonistically with each other. The proposed model suc- cessfully includes the implication of the inhibition system to design mathematical model for neurovas- cular coupling. Result of the proposed model shows that the increase in neuronal stimulus from 20 to 60 μA/cm 2 has the ability to increase the vasodilatory activity of blood tissue vasculature. Oxygenation level and hemodynamic response due to input synaptic stimulation has been calculated by regional cere- bral oxygenation level (rS0 2 ) and blood oxygen level dependent (BOLD) imaging signal which supports vasodilation of blood vessel with increase in synaptic input stimulus. Keywords: Neurovascular coupling unit | Hodgkin-Huxley model | Neurotransmitter | Feedforward-inhibition network | Regional cerebral oxygen saturation |
مقاله انگلیسی |
7 |
Medical technologies and abortion care in Eastern Uganda
فن آوری های پزشکی و مراقبت های سقط جنین در اوگاندا شرقی-2020 Manual Vacuum Aspirators (MVA), Dilation and Curettage (D&C), and medical abortifacients (Misoprostol,
Mifepristone and Divabo) are available in clinical settings that offer abortion and post-abortion care in Uganda.
While these technologies imply appropriate and safe abortion care, legal and policy ambiguities impact health
outcomes. In this article, we draw on an ethnography of abortion care delivery practice conducted in one district
in Eastern Uganda between August 2018 and March 2019, with data from interviews and observations, both of
interactions and during quality of care improvement and training meetings. We illuminate how, in the context of
a financialized healthcare system and legal restrictions, the meanings and use of medical technologies and
abortion care vary across different health facility types. In public health facilities, health workers become state
agents in the control of womens bodies. In private health facilities, they become transgressors, who use medical
technologies to help women attain termination surreptitiously. Health workers offset risks associated with any
involvement in termination, such that pecuniary interests dominate their motivation. Normalized and disciplinary
power enact and reproduce unsafe and risky conditions, leading to poor abortion care outcomes. We
illustrate the mechanisms of domination and tactics of resistance in abortion care, and expose conditions upon
which unsafe and risky outcomes are contingent. Keywords: Uganda | Abortion | Categorization | Criminalization | Domination | Instrumental reason |
مقاله انگلیسی |
8 |
استفاده از شبکه های عصبی موجی فازی تابعی ترکیبی با یک الگوریتم بهینه سازی مبتنی بر تدریس – یادگیری برای تشخیص بیماری پزشکی
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 15 - تعداد صفحات فایل doc فارسی: 58 تشخیص صحیح بیماری پزشکی، یک مسئله مهم در دسته بندی تلقی می شود. هدف اصلی فرآیند دسته بندی، تعیین دسته ای است که یک الگوی خاص به آن تعلق دارد. در این مقاله یک روش دسته بندی جدید برمبنای ترکیبی از الگوریتم بهینه سازی مبتنی بر تدریس – یادگیری (TLBO) و شبکه عصبی موجی فازی (FWNN) با شبکه عصبی ارتباطی تابعی (FLNN)، پیشنهاد می شود. به علاوه، از الگوریتم TLBO برای راه اندازی شبکه عصبی موجی فازی تابعی ترکیبی جدید (FFWNN) و بهینه سازی پارامترهای یادگیری که عبارتند از وزن، اتساع و ترجمه، استفاده می شود. برای ارزیابی عملکرد روش پیشنهادی، از 5 سری داده پزشکی استاندارد استفاده شد: سرطان سینه، بیماری قلبی، هپاتیت، دیابت پیمای هندی و آپاندیس. کارآیی روش پیشنهادی با استفاده از اعتبارسنجی تقاطعی 5 باره و اعتبارسنجی تقاطعی 10 باره ازنظر مربع خطای میانگین، دقت دسته بندی، زمان اجرا، حساسیت، اختصاصی بودن و کاپا بررسی می شود. نتایج آزمایش نشان می دهند که کارآیی روش پیشنهادی برای مسئله های دسته بندی پزشکی برای سری های داده ای سرطان سینه، بیماری قلبی، هپاتیت، بیماری های پیمای هندی و آپاندیس ازنظر دقت پس از 30 اجرا برای هر سری داده ای با پیچیدگی محاسباتی پایین، به ترتیب برابر با 309/98، 1/91، 39/91، 67/88 و 51/93 درصد می باشد. به علاوه، مشاهده شده است که روش پیشنهادی درمقایسه با عملکرد سایر روشهای یافت شده در مطالعات قبلی مرتبط، عملکرد کارآمدی دارد.
کلیدواژه ها: شبکه عصبی موجی فازی (FWNN) | شبکه عصبی ارتباطی تابعی (FLNN) | الگوریتم بهینه سازی مبتنی بر تدریس- یادگیری (TLBO) | شبکه عصبی موجی فازی تابعی (FFWNN) |
مقاله ترجمه شده |
9 |
دسته بندی نوع خس خس کردن با استفاده از روش نسبت انرژی بهینه مبتنی بر تبدیل موجی غیردوتایی
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 8 - تعداد صفحات فایل doc فارسی: 29 پیش زمینه و هدف: خس خس کردن در صداهای ریوی، اختلالی است که اغلب با نوع انسدادی بیماری های ریوی همراه است. کارهای قبلی روی دسته بندی انواع خس خس کردن ها اساسا" روی استفاده از دقت زمانی – بسامدی/ مقیاسی ثابت برمبنای تبدیلات فوریه و موجی متمرکز بودند. سهم اصلی روش پیشنهادی که در آن دقت زمانی – بسامدی می تواند برطبق سیگنال موردنظر میزان سازی شود، متمایزسازی خس خس کردن های تک صدایی و چند صدایی با دقتی بالاتر از روشهای قبلا" پیشنهاد شده ی مبتنی بر زمان و زمان – بسامد/ مقیاس می باشد.
روشها: یک تبدیل موجی بهینه اتساعی منطقی (RADWT) برمبنای روش انتخاب پارامتر نسبت پیک انرژی (PER)، برای متمایزسازی انواع خس خس کردن ها پیشنهاد می شود. از نسبت های بسامد چارکی قبلا" پیشنهاد شده، بی نظمی تقاطعی میانگین، دسته بندی چندگانه سیگنال، سپستروم بسامدی و دیدگاههای تبدیل موجی گسسته دوتایی نیز استفاده شد و برتری روش پیشنهادی در طرح های اعتبارسنجی تقاطعی LOO و LOSO با دسته بندی کننده های ماشین بردار پشتیبان (SVM)، نزدیکترین همسایه k (k-NN) و ماشین یادگیری کرانی (ELM) نشان داده می شود. نتایج: نتایج نشان می دهند که روش پیشنهادی مبتنی بر RADWT برای همه دسته بندی کننده ها هم در شرایط اعتبارسنجی تقاطعی LOO و هم در LOSO، نسبت به دیدگاههای پیشرفته زمانی، بسامدی، زمانی – بسامدی و دامنه مقیاس زمانی، برتری دارد. وقتی که مشخصه های پیشنهاد شده PER به داخل SVM وارد شوند، بالاترین مقدار دقت در LOO و LOSO به ترتیب برابر با 86 و 9/82 درصد به دست آمد. نتیجه گیری: این نتیجه گرفته می شود که خصوصیات زمانی و دامنه بسامدی خس خس کردن ها پایدار نیستند و از این رو نمایش های تنظیم پذیر مقیاس زمانی در متمایزسازی خس خس کردن های تک صدایی و چند صدایی درمقایسه با نمایش های سنتی دارای دقت ثابت، موفق تر هستند. کلیدواژه ها: صداهای ریه | صداهای تنفسی | متمایزسازی | خس خس کردن | تک صدایی | چند صدایی |
مقاله ترجمه شده |
10 |
The association between plasma big endothelin-1 levels at admission and long-term outcomes in patients with atrial fibrillation
ارتباط بین سطوح بالایی از اندوتلین-1 پلاسما در پذیرش و نتایج درازمدت در بیماران مبتلا به فیبریلاسیون دهلیزی-2018 Background and aims: The prognostic role of big endothelin-1 (ET-1) in atrial fibrillation (AF) is unclear.
We aimed to assess its predictive value in patients with AF.
Methods: A total of 716 AF patients were enrolled and divided into two groups based on the optimal cut
off value of big ET-1 in predicting all-cause mortality. The primary outcomes were all-cause mortality and
major adverse events (MAEs). Cox regression analysis and net reclassification improvement (NRI)
analysis were performed to assess the predictive value of big ET-1 on outcomes.
Results: With the optimal cut-off value of 0.55 pmol/L, 326 patients were classified into the high big ET-1
levels group. Cardiac dysfunction and left atrial dilation were factors related to high big ET-1 levels.
During a median follow-up of 3 years, patients with big ET-1 0.55 pmol/L had notably higher risk of all
cause death (44.8% vs. 11.5%, p < 0.001), MAEs (51.8% vs. 17.4%, p < 0.001), cardiovascular death, major
bleeding, and tended to have higher thromboembolic risk. After adjusting for confounding factors, high
big ET-1 level was an independent predictor of all-cause mortality (hazard ratio (HR) 2.11, 95% confidence
interval (CI) 1.46e3.05; p < 0.001), MAEs (HR 2.05, 95% CI 1.50e2.80; p ¼ 0.001), and cardiovascular
death (HR 2.44, 95% CI 1.52e3.93; p < 0.001). NRI analysis showed that big ET-1 allowed a significant
improvement of 0.32 in the accuracy of predicting the risk of both all-cause mortality and MAEs.
Conclusions: Elevated big ET-1 levels is an independent predictor of long-term all-cause mortality, MAEs,
and cardiovascular death in patients with AF.
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مقاله انگلیسی |