The Genetic Perspective of Familial Glucocorticoid Deficiency: In Silico Analysis of Two Novel Variants by Katayoun Heshmatzad, Nejat Mahdieh, Ali Rabbani, Abdolah Didban, Bahareh Rabbani

“…Familial glucocorticoid deficiency is a rare autosomal recessive genetic disorder which belongs to a group of primary adrenal insufficiency (PAI) and is mainly caused by mutations in the MC2R and MRAP genes. …”
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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

“…In this paper, we present a Genetic Algorithm Optimized Generative Adversarial Network (hereinafter referred to as GAGAN), which is designed for the effective training of discrete generative adversarial networks. …”
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Problems and possibilities of studying malting quality in barley using molecular genetic approaches by N. V. Trubacheeva, L. A. Pershina

“…In this regard, the study of the genetic basis of malting quality traits and the breeding of malting barley varieties that are adaptive to their growing conditions are relevant throughout the world, particularly in the Russian Federation, where the cultivation and use of foreign malting varieties of barley prevails. …”
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A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

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The Effect of Genetically Modified Food on Infertility Indices: A Systematic Review Study by Parisa Keshani, Mohammad Hossein Sharifi, Mohammad Reza Heydari, Hassan Joulaei

“…With the increase in the growth of genetically modified (GM) crops, concerns as to the adverse effects of GM crops have risen in the community. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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Genetically Modified Crops’ Technology and its Awareness among Smallholder Farmers in Nigeria by Ogheneruemu Obi-Egbedi, Omowunmi Ogungbite, Isaac Oluwatayo

“…Genetically Modified (GM) crops are crops modified through genetic engineering to improve their quality. …”
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ACE Insertion/Deletion Polymorphism and Diabetic Nephropathy: Clinical Implications of Genetic Information by Sung-Kyu Ha

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A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

Subjects: “…Genetic algorithm…”
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STUDYING GENETIC EFFECTS IN NATURAL ECOSYSTEMS WITH APPLICATION OF A PLANT TEST OBJECT by E. A. Aghajanyan, R. E. Avalyan, A. L. Atoyants, A. E. Simonyan, R. M. Aroutiounian

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COMPARISON OF METHODS FOR OBTAINING GENETIC DIVERSITY FOR BREEDING WINTER-HARDY WHEAT IN SIBERIA by V. E. Kozlov

“…An interdisciplinary approach to studying the mechanisms governing the formation of winter hardiness permits one to develop new methods for increasing genetic diversity, to improve well-known ones, and to compare their efficiencies. …”
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Integrating genetics and transcriptomics to characterize shared mechanisms in digestive diseases and psychiatric disorders by Huanxin Ding, Yue Jiang, Qing Sun, Yingchao Song, Shuohui Dong, Qian Xu, Linzehao Li, Chuxuan Liu, Bingjun Li, Hengxuan Jiang, Bichen Peng, Shi Peng, Chumeng Zhang, Jiankang Zhu, Mingwei Zhong, Guangyong Zhang, Xiao Chang

“…Significant genetic correlations were found between these disorders, especially in irritable bowel syndrome (IBS), gastroesophageal reflux disease (GERD), depression (DEP), and neuroticism (NE). …”
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Development of a new nanobiotechnology method for the differential diagnosis of ocular adnexal tumors by S.V. Saakyan, D.A. Skladnev, A.P. Alekseeva, O.V. Beznos, V.V. Sorokin

“…The parameters of reducibility of benign ocular adnexal tumors did not significantly differ depending on tumor location and type. …”
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Genetic evidence for the liver-brain axis: lipid metabolism and neurodegenerative disease risk by Zeyu Wang, Zixiao Yin, Guangyong Sun, Dong Zhang, Jianguo Zhang

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Genetic parameters of production and reproduction traits of Mediterranean buffaloes under tropical conditions by Iván A. Cárdenas, Miguel A. Chacón

Subjects: “…genetic…”
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar

“…An effort has been made to develop concrete compressive strength prediction models with the help of two emerging data mining techniques, namely, Artificial Neural Networks (ANNs) and Genetic Programming (GP). The data for analysis and model development was collected at 28-, 56-, and 91-day curing periods through experiments conducted in the laboratory under standard controlled conditions. …”
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Genetics of Myasthenia Gravis: A Case-Control Association Study in the Hellenic Population by Zoi Zagoriti, Marianthi Georgitsi, Olga Giannakopoulou, Fotios Ntellos, Socrates J. Tzartos, George P. Patrinos, Konstantinos Poulas

“…Myasthenia gravis (MG) is an heterogeneous autoimmune disease characterized by the production of autoantibodies against proteins of the postsynaptic membrane, in the neuromuscular junction. The contribution of genetic factors to MG susceptibility has been evaluated through family and twin studies however, the precise genetic background of the disease remains elusive. …”
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Genetic Components Derived Parameters and Heterosis in Okra under Saudi Arabia Conditions by Mohamed F. M. Abdelkader, Mohamed H. Mahmoud, Mohamed Z. Diyasty, Noha A. Sukar, Maged I. Farag, Nesma N. I. Mohamed, Yasser A. M. A. Salama, Mohamed A. Abdein

“…Genetics Research…”
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Heterogeneity of Genetic Landscapes in Salivary Gland Tumors and Their Critical Roles in Current Management by Anam YOUSAF, Sarina SULONG, Baharudin ABDULLAH, Norhafiza Mat LAZIM

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Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm by Noor Gul, Ijaz Mansoor Qureshi, Atif Elahi, Imtiaz Rasool

“…In this paper, the FC takes a global decision based on the hard binary decisions received from all SUs. Genetic algorithm (GA) using one-to-many neighbor distance along with z-score as a fitness function is used for the identification of accurate sensing information in the presence of MUs. …”
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