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نتیجه جستجو - ژنتیک

تعداد مقالات یافته شده: 183
ردیف عنوان نوع
1 Private Computation of Phylogenetic Trees Based on Quantum Technologies
محاسبات خصوصی درختان فیلوژنتیک بر اساس فناوری های کوانتومی-2022
Individuals’ privacy and legal regulations demand genomic data be handled and studied with highly secure privacy-preserving techniques. In this work, we propose a feasible Secure Multiparty Computation (SMC) system assisted with quantum cryptographic protocols that is designed to compute a phylogenetic tree from a set of private genome sequences. This system significantly improves the privacy and security of the computation thanks to three quantum cryptographic protocols that provide enhanced security against quantum computer attacks. This system adapts several distance-based methods (Unweighted Pair Group Method with Arithmetic mean, Neighbour-Joining, Fitch-Margoliash) into a private setting where the sequences owned by each party are not disclosed to the other members present in the protocol. We theoretically evaluate the performance and privacy guarantees of the system through a complexity analysis and security proof and give an extensive explanation about the implementation details and cryptographic protocols. We also implement a quantum-assisted secure phylogenetic tree computation based on the Libscapi implementation of the Yao, the PHYLIP library and simulated keys of two quantum systems: Quantum Oblivious Key Distribution and Quantum Key Distribution. This demonstrates its effectiveness and practicality. We benchmark this implementation against a classical-only solution and we conclude that both approaches render similar execution times, the only difference being the time overhead taken by the oblivious key management system of the quantum-assisted approach.
INDEX TERMS: Genomics | phylogenetic trees | privacy | quantum oblivious transfer | quantum secure multiparty computation | security.
مقاله انگلیسی
2 الگوریتم ژنتیک چند هدفه و طرح معماری یادگیری عمیق مبتنی بر CNN برای تشخیص موثر spam
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 18
معمولا ایمیل به عنوان قدرتمندترین رسانه در شبکه‌های اجتماعی آنلاین در نظر گرفته می‌شود که امکان گفتگو و ارتباط آنلاین کاربران رسانه‌های اجتماعی آنلاین را با یکدیگر فراهم می کند، همچنین امکان اشتراک گذاری لینک هم وجود دارد. به ویژه، توییتر به عنوان محبوب ترین شبکه اجتماعی شناخته شده است که بهترین کانال ارتباطی برای به اشتراک گذاشتن اخبار، ایده ها، افکار، نظرات و عقاید فعلی کاربران خود با سایر کاربران رسانه های اجتماعی آنلاین است. علیرغم تلاش‌هایی که برای مبارزه با عملیات اسپم در شبکه اجتماعی آنلاین انجام شده است، اسپم توییتر دارای عملکرد جدیدی محدود به 140 کاراکتر است. این نه تنها علت اصلی آزار کاربران روزمره است، بلکه اکثر مسائل امنیتی رایانه نیز ناشی از آن است که میلیاردها دلار کاهش بهره وری هزینه را در پی دارد. در این مقاله، یک الگوریتم ژنتیک چندهدفه و یک طرح معماری یادگیری عمیق مبتنی بر CNN (MOGA-CNN-DLAS) برای فرآیند تشخیص اسپم غالب در توییتر پیشنهاد می‌کنیم. جزئیات تجربی و نتایج و بحث حاصل از MOGA-CNN-DLAS پیشنهادی از نظر دقت ، صحت، فراخوان، FScore، RMSE و MAE مورد ارزیابی قرار گرفتند. این ارزیابی با تغییر نسبت داده‌های آموزشی کاربردی از سه مجموعه داده واقعی، مانند مجموعه داده توییتر k100 و ASU انجام شد.
کلمات کلیدی: اسپم توییتر | یادگیری عمیق | شبکه عصبی پیچشی یا همگشتی (CNN) | الگوریتم ژنتیک | آنالیز رسانه های اجتماعی | تشخیص موثر اسپم
مقاله ترجمه شده
3 Reordering and Partitioning of Distributed Quantum Circuits
مرتب سازی مجدد و پارتیشن بندی مدارهای کوانتومی توزیع شده-2022
A new approach to reduce the teleportation cost and execution time in Distributed Quantum Circuits (DQCs) was proposed in the present paper. DQCs, a well-known solution, have been applied to solve the problem of maintaining a large number of qubits next to each other. In the distributed quantum system, the qubits are transferred to another subsystem by a quantum protocol like teleportation. Hence, a novel method was proposed to optimize the number of teleportation and to reduce the execution time for generating DQC. To this end, first, the quantum circuit was reordered according to the qubits placement to improve the computational execution time, and then the quantum circuit was modeled as a graph. Finally, we combined the genetic algorithm (GA) and the modified tabu search algorithm (MTS) to partition the graph model in order to obtain a distributed quantum circuit aimed at reducing the number of teleportation costs. A significant reduction in teleportation cost (TC) and execution time (ET) was obtained in benchmark circuits. In particular, we performed a more accurate optimization than the previous approaches, and the proposed approach yielded the best results for several benchmark circuits.
INDEX TERMS: Quantum computing | distributed quantum circuit | optimization | genetic algorithm | teleportation.
مقاله انگلیسی
4 Genetic Algorithm based Internet of Precision Agricultural Things (IopaT) for Agriculture 4:0
اینترنت اشیاء دقیق کشاورزی مبتنی بر الگوریتم ژنتیک (IopaT) برای کشاورزی 4:0-2022
The development of IoT is increasing in our daily life. Its applications are now becoming famous in rural areas also, such as Agriculture 4.0. Cheap sensors, climate data, soil in- formation, and drones are now used to solve many real-time problems. One of the most emerging topics in the IoT in the Agriculture field is IoT based precision agriculture. The range of IoT applications can range between water spraying from drone, soil recommenda- tion for different crops, weather prediction and recommendation for water supply, etc. In this paper we propose a system that will recommend whether water is needed or not by predicting the rain fall using Genetic Algorithm. In this article, we proposed a unique de- cision making method to predict Rainfall using Genetic Algorithm (GA) to identify the ne- cessity of manual water supply is needed or not. The sensor based system will be activated to check wheather the GA based system completes its prediction correctly or not by sens- ing moisture level from the soil. If the moisture level of the soil crosses the pre-defined threshold value then plant watering is performed by quadrotor UAV. A terrace gardening system is also implemented in this article, which uses a pump for water spraying. Various atmospheric parameters help to develop a rainfall prediction system to enhance efficiancy more than 80% in the proposed IopaT system to make the system more interoperable.
keywords: اینترنت اشیا | تصمیم گیری | کشاورزی دقیق | الگوریتم ژنتیک | کشاورزی 4.0 | کوادکوپتر پهپاد | سنسور رطوبت خاک | Internet of Things | Decision Making | Precision Agriculture | Genetic Algorithm | Agriculture 4.0 | Quadrotor UAV | Soil Moisture Sensor
مقاله انگلیسی
5 A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN
تشخیص شخصی نوار قلب ECG مبتنی بر وابستگی های عملکردی و ساختاری سیگنالها با استفاده از نمایش فرکانس زمان و CNN مورفولوژیکی تکاملی-2021
Biometric recognition systems have been employed in many aspects of life such as security technologies, data protection, and remote access. Physiological signals, e.g. electrocardiogram (ECG), can potentially be used in biometric recognition. From a medical standpoint, ECG leads have structural and functional dependencies. In fact, precordial ECG leads view the heart from different axial angles, whereas limb leads view it from various coronal angles. This study aimed to design a personal biometric recognition system based on ECG signals by estimating these latent medical variables. To estimate functional dependencies, within-correlation and cross- correlation in time-frequency domain between ECG leads were calculated and represented in the form of extended adjacency matrices. CNN trees were then introduced through genetic programming for the automated estimation of structural dependencies in extended adjacency matrices. CNN trees perform the deep feature learning process by using structural morphology operators. The proposed system was designed for both closed-set identification and verification. It was then tested on two datasets, i.e. PTB and CYBHi, for performance evaluation. Compared with the state-of-the-art methods, the proposed method outperformed all of them.
Keywords: Biometrics | Electrocardiogram | Functional dependencies | Structural dependencies | Genetic programming | Convolutional neural networks
مقاله انگلیسی
6 Alternative bayesian models for genetic evaluation of biometrical, physical, and morphological reproductive traits in nelore bulls
مدلهای جایگزین بایزی برای ارزیابی ژنتیکی صفات تولید مثل بیومتریک ، فیزیکی و مورفولوژیکی در گاو نرهای-2021
Reproductive performance is one of the most important factors for the productive efficiency in beef cattle pro- duction. Biometric testicular and physical and morphological traits of the ejaculate are used to evaluate the reproductive performance of bulls. The phenotypic data of semen physical and morphological traits are expressed in percentage or notes, thus the evaluation of such traits through models that assume normal data distribution can be questioned. We aimed to compare the mixed models fitted under alternative and traditional Gaussian distributions for physical and morphological semen traits. Additionally to identify the most suitable model, we aimed also to predict genetic parameters for reproductive traits via Bayesian inference. Phenotypic data of 615 Nelore bulls, aged between 18 and 36 months, were used. The traits sperm motility (MOT), major (MD), minor (MID), and total (TD) sperm defects and percentage of normal spermatozoa were evaluated through Gaussian and Exponential models. For the physical traits expressed in scores, sperm vigor (VIG), and semen mass activity (MASS), the Gaussian and Poisson models were compared. Only Gaussian model was used for genetic parameters estimation of biometric testicular and seminal vesicle traits. The exponential model presented a better fit quality for MD and MID data than Gaussian model. For MASS the best model was Poisson. For all other evaluated traits, the Gaussian model presented the best fit. Heritability estimates were high for testicular biometric traits, ranging from 0.34 to 0.5. However, for the biometric measures of the seminal vesicle the heritabilitys were low (0.04 for seminal vesicle length and 0.07 for seminal vesicle width). For the morphological traits of the semen, the heritability estimates were high, ranging from 0.36 to 0.50. For the semen physical traits, the heritability estimates varied widely, from 0.04 for MOT and VIG to 0.57 for MASS. The model assumption influences the bull genetic evaluation for physical and morphological semen traits, resulting in substantial ranking differences. However, the Gaussian model exhibited the best prediction accuracies for all traits.* Corresponding author.E-mail address: tulio.boas@ufv.br (T.V.V.B. Oliveira).https://doi.org/10.1016/j.livsci.2020.104313Received 1 July 2020; Received in revised form 1 October 2020; Accepted 27 October 2020Available online 28 October 20201871-1413/© 2020 Elsevier B.V. All rights reserved.
Keywords: Bovine | Bayesian inference | Reproductive traits | Bull fertility
مقاله انگلیسی
7 Soft biometric based keystroke classification using PSO optimized neural network
طبقه بندی نرم افزاری بیومتریک با استفاده از شبکه عصبی بهینه شده PSO-2021
In this work, variable length login-id and password belonging to the user were analyzed for bringing forth a more secure verification system. Soft biometrics such as age group and gender are estimated from key- stroke dynamics patterns when he/she types a given password or login id on a keyboard. Experiments were carried on GREYC a web-based keystroke dataset by exploiting the features from DWT of keystroke dynamics and provides classification results using PSO optimized neural network. Experiments done using PSO-NN resulted in 94% accuracy which clearly out performs the BPNN and GA-NN classifiers.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering.
Keywords: Soft biometric | Discrete wavelet transform (DWT) | Genetic Algorithm optimized neural network (GA-NN) | Back propagation neural network (BPNN) | Particle Swarm Optimized neural network(PSO-NN)
مقاله انگلیسی
8 Why is personality tied to sleep quality? A biometric analysis of twins
چرا شخصیت با کیفیت خواب ارتباط دارد؟ تجزیه و تحلیل بیومتریک دوقلوها-2021
Despite consistent links between personality traits and poor sleep, little is known about genetic and environmental influences that may produce them. This study examined how much genetic background and environmental experiences contributed to phenotypic linkages between personality and subjective sleep quality. Seven hundred and thirty-four twin pairs from the Minnesota Study of Twin Aging and Development rated their sleep quality and provided personality reports. Bi-variate analyses revealed that genetic factors accounted for the majority of observed associations between subjective sleep quality and traits, but also that non-shared environmental experience played a role that varied across traits. The findings strongly implicate genotype in tying subjective sleep quality to personality variation, alongside non- shared environmental influences, and suggest indicate influences unique to individual traits.© 2020 Elsevier Inc. All rights reserved.
Keywords: Sleep | Personality | Insomnia | Genetic | Development
مقاله انگلیسی
9 Informed conservation management of rare tree species needs knowledge of species composition, their genetic characteristics and ecological niche
مدیریت حفاظت از حفاظت از گونه های نادر درختی، نیاز به دانش ترکیب گونه ها، ویژگی های ژنتیکی آنها و طاقچه های زیست محیطی -2021
Woodland nature reserves must be scientifically assessed so that subsequent management leads to optimal conservation of biodiversity. This entails knowledge of the species composition, the genetics of the local pop- ulations and their ecology. Here we assess Tilia species in the Bavarian Forest National Park (BFNP), a large mixed coniferous and deciduous forest in South-Eastern Germany. Tilia occurs here at low density, as in many other mixed forests in Central and Northern Europe. Therefore, results are not only relevant to BFNP but also to other areas. Exhaustive sampling resulted in the collection of 113 mature trees that were genotyped using 20 microsatellite markers, derived from both T. cordata and T. platyphyllos. For the first time, size and aspect of trees, and their community association were contrasted between the species. Genotyping confirmed that T. platyphyllos, T. cordata and their hybrid (T. x europaea) were present in the BFNP and both species deserve conservation. T. platyphyllos has a higher genetic diversity for both sets of markers than T. cordata, confirming earlier work. Both species showed genetic diversity comparable to other populations in Central Europe, which is likely to be sufficient for the maintenance of the species in the short term. However, increasing the number of trees, ensuring local sources are used, and gene flow from surrounding forests over the next decennia may be crucial for long- term survival. Further, within the T. platyphyllos group there was a set of 11 trees that were distinct from the others: they had a lower genetic diversity and were shorter. We hypothesise that these were planted and should not be used for propagation and augmentation. Most saplings analysed appeared to derive from asexual propagation (36 out of 41), although a few (five out of 41) were novel genotypes. This means that, currently, there is some, but rather limited, regeneration. T. cordata was found at a lower altitude and less steep terrain than T. platyphyllos and the hybrid. The hybrid was taller than the two species, while the diameter at breast height was smallest in T. cordata. T. cordata shows a preference for mixed and coniferous forests, while T. platyphyllos occurs mostly in deciduous forests. Our results indicate that biodiversity at the species and genetic level as well as species’ ecology have to be considered in order to guide informed conservation management. These results form the basis to recommend conservation management improving the long-term viability of Tilia in the BFNP and other mixed forests.
keywords: جنگلداری | تیلیا | تنوع ژنتیکی | ترجیح زیستگاه | مناطق حفاظت شده | هیبریداسیون | جنگلکاری | Forestry | Tilia | Genetic diversity | Habitat preference | Protected areas | Hybridisation | Silviculture
مقاله انگلیسی
10 PGx in psychiatry: Patients knowledge, interest, and uncertainty management preferences in the context of pharmacogenomic testing
PGX در روانپزشکی: بیماران، سود و عدم اطمینان در زمینه تست های فارماکوژنیوم-2021
Objective: Pharmacogenomic testing (PGx) is expanding into psychiatric care. PGx could potentially offer a unique benefit to psychiatric patients, providing information about patients’ reaction to medications that could reduce the time and financial burdens of drug optimization. The aims of this study were to: (1) examine psychiatry patients’ familiarity and interest in PGx, and (2) explore how Uncertainty Management Theory relates to PGx testing in psychiatry.
Method: We surveyed psychiatric patients, measuring their PGx familiarity and interest, attitudes toward PGx testing, and preference for managing illness uncertainty.
Results: We analyzed data from 598 patients. Patients’ familiarity of PGx was low, but interest was high. Thirty percent of patients were familiar with the test from communication with their healthcare provider or their own online health information seeking. A preference for seeking information was a significant positive predictor of testing interest (p < .001).
Conclusion: Psychiatric patients were interested in PGx testing, regardless of their uncertainty management preferences.
Practice implications: This study is one of the first to examine psychiatric patients’ perspectives on PGx testing in mental health care. Our findings show that psychiatric patients are interested in the test and are familiar enough with PGx to be included in future research on the topic.
keywords: فارماکوژنومیک | عدم قطعیت | روانپزشکی | آزمایش ژنتیک | نظریه مدیریت عدم قطعیت | Pharmacogenomics | Uncertainty | Psychiatry | Genetic testing | Uncertainty Management Theory
مقاله انگلیسی
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