Reverse Genetic Strategies in Caenorhabditis elegans: Towards Controlled Manipulation of the Genome by Howard A. Baylis, Rafael P. Vázquez-Manrique

“…We describe methods that use random mutagenesis to isolate mutations in specific genes. …”
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Reliable Adaptive Video Streaming Driven by Perceptual Semantics for Situational Awareness by M. A. Pimentel-Niño, Paresh Saxena, M. A. Vazquez-Castro

“…An underlying cross-layer optimization technique takes into account feedback on network congestion (time) and erasures (space) to best distribute available (scarce) bandwidth. Systematic random linear network coding (SRNC) adds reliability while preserving perceptual semantics. …”
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Reliability Estimation of Dependence Structure System For Huang-Kotz Iterated FGM With Lindley Marginal by Anusha James, Navin Chandra, Filippo Domma

“…Huang and Kotz (1984) proposed a two-parameter extension of the original Fralie-Gumble-Morgenstern (FGM) family to model the higher association between the random variables. In this problem, we develop an iterated FGM (IFGM) based dependent stress-strength reliability model using Lindley marginals. …”
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Growth Pattern and Condition Factors of Kurisi Fish (Nemipterus nematophorus, Russel 1990) Landed at Lempasing Fishing Port by Nindia Ciandra Niawati, Rizha Bery Putriani

“…The methods employed include direct data collection through random sampling of fish, where analysis is conducted to identify the relationship between length and weight as well as the condition factor of the fish. …”
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ANALYSIS OF MICRO-ELECTROMECHANICAL INERTIAL MEASUREMENT UNITS FOR UNMANNED AERIAL VEHICLE APPLICATIONS by Aftandil MAMMADOV

“…In a low-cost system, IMU errors like bias, scale factor error and random walk noise dominate the INS error growth.…”
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Measurement and prediction of the development level of China’s digital economy by Shuangyang Lai, Haoming Chen, Yuexu Zhao

“…The empirical analysis shows the Grey-Markov model is superior to grey prediction model in capturing random fluctuations, and Monte Carlo simulation indicates that this model has good robustness. …”
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Observer Based Optimal Vibration Control of a Full Aircraft System Having Active Landing Gears and Biodynamic Pilot Model by Hakan Yazici, Mert Sever

“…The system is then simulated against the bump and random runway excitation. The simulation results demonstrate that the proposed controller provides significant improvements in reducing vibration amplitudes of aircraft fuselage and pilot’s head and maintains the safety requirements in terms of suspension stroke and tire deflection.…”
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Compressed sensing subspace pursuit algorithm based on two stagewise weak selection by Bowei WANG, Jin TAN

“…Compressed sensing is a new way of signal sampling and data compression.The subspace pursuit algorithm has higher efficiency and precision in the compressed sensing reconstruction algorithms,but it needs the sparsity of the signal as a priori information.And if the sparsity estimation is not accurate enough,it will reduce the algorithm reconstruction effect.Aiming at this problem,a two stagewise weak selection-based subspace pursuit (TSWSP) algorithm was proposed,which didn’t need to know the sparsity of the signal in advance.The first weak selection adaptively selected the initial atom candidate set,and the second weak selection adaptively culled the wrong atoms that may had been previously selected from the current atom support set,and finally it selected a plurality of related atoms from the current atom candidate set to join the atom support set by the backtracking method.Simulation analysis shows that the proposed algorithm can reconstruct one-dimensional random signals and two-dimensional image signals accurately with unknown sparsity,and it has high stability,compared with OMP,SWOMP,BAOMP,SAMP and SP algorithm,the mean-square erroris reduced by 60.5% to 99.1%,the peak signal-to-noise ratio is improved by 2.1% to 34.3%.…”
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Thermal Runaway Detection Method for Smart Electric Bicycle Charger by Jing Ning, Bing Xiao, Wenbin Zhao

“…First, the relationship between the battery's internal temperature and the impedance's phase shift is derived theoretically. Second, given that random interference in the charging current, the current area integration algorithm (CAIA) is presented to measure the phase shift, so the internal temperature is estimated. …”
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Uncertainty Quantification for the Transient Response of Human Equivalent Antenna Using the Stochastic Collocation Approach by Anna Šušnjara, Dragan Poljak

“…The body is modeled as a straight wire antenna whose length and radius exhibit random nature. The uncertainty is propagated to the output transient current by means of the stochastic collocation method. …”
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Program of functional instruction in reading comprehension of poems in elementary school students by Néstor Miguel Velarde Corrales, Aldo Bazán-Ramírez

“…A prior evaluation of the group showed that 28 of the 30 students had a low level of reading comprehension, therefore, it was formed in a random manner, a group of eleven students who took a training course for reading comprehension, which consisted of six sessions. …”
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Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems by Halbast Rashid Ismael, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…The performance of the decision tree, naive Bayes, random forest, support vector machine and K-nearest neighbour is measured and compared to each other. …”
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Capture-SELEX: Selection of DNA Aptamers for Aminoglycoside Antibiotics by Regina Stoltenburg, Nadia Nikolaus, Beate Strehlitz

“…For this purpose a docking sequence was incorporated into the random region of the library enabling hybridization to a complementary oligo fixed on magnetic beads. …”
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An Improved Inverse Kinematics Solution for a Robot Arm Trajectory Using Multiple Adaptive Neuro-Fuzzy Inference Systems by Mohamad Reda A. Refaai

“…Following confirmation that the kinematic findings of the mathematical model match the actual observed values of the robot arm, two types of data sets are generated: a random data set and a systematic data set based on a trajectory. …”
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Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

“…It is also compared with existing standard ensemble techniques such as Adaboost, Bagging, and Random Subspace Methods. Experimental results show the superiority of proposed ensemble method as compared to its competitors, especially in the presence of class label noise and imbalance classes.…”
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Airflow Obstruction in Young Adults in Canada by Manal Al-Hazmi, Kate Wooldrage, Nicholas R Anthonisen, Margaret R Becklake, Dennis Bowie, Moira Chan-Yeung, Helen Dimich-Ward, Pierre Ernst, Jure Manfreda, Malcolm R Sears, Hans C Siersted, Lamont Sweet, Linda Van Til

“…The objective of the present study was to enumerate and characterize airflow obstruction in a random sample of Canadians aged 20 to 44 years.…”
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On the System Entropy and Energy Dissipativity of Stochastic Systems and Their Application in Biological Systems by Bor-Sen Chen, Xiangyun Lin, Weihai Zhang, Tianshou Zhou

“…We found that the intrinsic random fluctuation and the enhancement of the system robust stability both can increase the system entropy but decrease the system dissipativity. …”
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Stochastic Generation of Subsurface Profiles for Realistic Simulation of Through-the-Earth Communication Systems by Josua Daniel Pena Carreno, A. Judson De Barros Braga

“…An algorithm based on the Monte Carlo method is presented and uses the Finite Element Method (FEM) to compute field propagation through each random structure. An empirical model is produced through simulations, and some metrics are evaluated, such as the median of magnetic field intensity, and the propagation loss, specially at the optimum operation frequency, in which channel variability is less spread when compared to all possible frequencies. …”
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Machine Learning Optimization and Challenges in Used Car Price Prediction by Zheng Yufan

“…To begin with, models like XGBoost and Random Forest excel at processing large-scale data and identifying complex feature patterns, thanks to their ability to use an ensemble of decision trees to reduce bias and variance. …”
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A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records by Qiuli Qin, Shuang Zhao, Chunmei Liu

“…The BERT layer first converts the electronic medical record text into a low-dimensional vector, then uses this vector as the input to the BiGRU layer to capture contextual features, and finally uses conditional random fields (CRFs) to capture the dependency between adjacent tags. …”
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