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41
A Novel Reconstruction Method for Irregularly Sampled Observation Sequences for Digital Twin
Published 2025-04-01“…Simulation results show that the proposed PRN-NCDE model can improve the estimation accuracy by more than 50% and 70% compared with the recurrent neural network-NCDE (RNN-NCDE) under different sampling numbers and noise levels, and by more than 80% and 60% compared with the recurrent neural network-NODE (RNN-NODE).…”
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42
An Intelligent Sample Selection Method for Space-Time Adaptive Processing in Heterogeneous Environment
Published 2019-01-01“…Due to the utilization of space–time property in representative feature extraction and intelligent strategy for the decision-making process, the proposed method acquires more reliable and efficient sample selection results compared with most of conventional sample selection methods. …”
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43
Introducing Novel Methods to Identify Fraudulent Responses (Sampling With Sisyphus): Web-Based LGBTQ2S+ Mixed-Methods Study
Published 2025-03-01“…MethodsTo attract a large and heterogeneous sample, 3 different study flyers were created in English, French, and Spanish. …”
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44
A New Method to Make 24-Hour Urine Collection More Convenient: A Validity Study
Published 2014-01-01“…Methods. Two 24-hour urine samples with the conventional method and with the new automated urine collection device that uses just one-twentieth of each void were obtained from 40 healthy volunteers. …”
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45
Prevalence and factors associated with the use of long-acting reversible and permanent contraceptive methods among women who desire no more children in Bangladesh
Published 2025-04-01“…This study aims to assess the prevalence of LARC/PM use and its determinants among sexually active women who desire no more children in Bangladesh. Methods The study used Bangladesh Demographic and Health Survey (BDHS) 2017-18 data, which employed a two-stage cluster sampling design. …”
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46
Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling
Published 2025-06-01“…The purpose of this research is to estimate the cumulative distribution function using the local polynomial regression and compare it to parameter estimation using the method of moments and the maximum likelihood method to calculate both the mean square error and the bias using the ranked sets sample and the median ranked sets sample . …”
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47
The role of sampling in an explanatory sequential mixed methods study: General applications of the transformative paradigm
Published 2025-06-01“…By employing transformative considerations generally in making the sampling decisions a more rigorous and transparent sampling design emerged that yielded more comprehensive inferences. …”
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48
Attraction points: A new sampling design method to quantify common finches’ population
Published 2025-02-01“…In the case of finches (Fringillidae), determining a direct and more accurate estimate of density of their populations in a specific area requires a specialised methodology based on unbiased statistical estimators, one that accounts on the unique characteristics of these birds and minimises the issues associated with commonly applied multispecies methodologies.Currently, no quantitative population management method exists that enables wildlife managers to ensure the sustainable management of finch populations in a specific territory throughout their annual life cycle. …”
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49
COMPARATIVE ANALYSIS OF PLASTERING WORK EXECUTION TIME ON LABOUR PRODUCTIVITY WITH WORK SAMPLING METHOD
Published 2025-05-01“…This study aims to analyze the level of productivity and the level of Labor Utilization Rate (LUR) in plastering work using the work sampling method, and the most effective time correlation between morning and afternoon. …”
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50
A Two-Stage Local Path Planning Algorithm Based on Sampling and Optimization Methods
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51
Comparison of Three Sampling Methods for Estimating Grasshopper (Orthoptera, Acrididea) Assemblages in African Rainforests
Published 2025-01-01“…A combine approach incorporating multiple sampling methods provides a more comprehensive assessment of grasshopper diversity, overcoming the limitations of sweeping alone.…”
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52
METHODS OF MOLECULAR DIAGNOSTICS FOR FISH SPECIES IDENTIFICATION
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53
Optimization of Filter-aided Sample Preparation Method Based on High-resolution Mass Spectrometry
Published 2025-07-01“…This study centered on an improved filter-aided sample preparation (FASP) method for proteomic sample preparation. …”
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54
Narrative approach to understanding compassion: a mixed methods study in a Polish sample
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55
The Development of Methods of BLOTCHIP<sup>®</sup>-MS for Peptidome: Small Samples in Tuberous Sclerosis
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56
Compression Law and Settlement Calculation Method of Over-Wet Soil Based on Large Samples
Published 2024-11-01“…Finally, based on the relationship between the creep strain and water content of large samples, a calculation method for the settlement of over-wet soil foundations based on the layered summation method was established, which had a higher prediction accuracy than the conventional layered summation method. …”
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57
Experimental study on the influence of sample preparation and testing methods on the shear mechanical properties of silt
Published 2025-05-01“…When the designed moisture content w d of the sample is lower than the optimal moisture content w op, the structural strength of the drying sample is higher than that of the water-added sample, and the brittle failure is more obvious in the drying method, and the shear strength and parameters are larger. …”
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58
Study and Application of a Wet Ball Milling Ultra-fine Method for Geological Samples
Published 2023-10-01“…The main methods for preparing ultrafine geological samples include air flow pulverization and ball milling. …”
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59
Comparing hair-morphology and molecular methods to identify fecal samples from Neotropical felids.
Published 2017-01-01“…To avoid certain problems encountered with more-traditional and invasive methods in behavioral-ecology studies of mammalian predators, such as felids, molecular approaches have been employed to identify feces found in the field. …”
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60
A Small-Sample Scenario Optimization Scheduling Method Based on Multidimensional Data Expansion
Published 2025-06-01“…Currently, deep reinforcement learning has been widely applied to energy system optimization and scheduling, and the DRL method relies more heavily on historical data. The lack of historical operation data in new integrated energy systems leads to insufficient DRL training samples, which easily triggers the problems of underfitting and insufficient exploration of the decision space and thus reduces the accuracy of the scheduling plan. …”
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