Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice by Mahya Hajihassanpour, Georges Kesserwani, Per Pettersson, Vasilis Bellos

“…With two input random variables, all four alternatives yield sample size reductions, with QMC and HWE considerably outperforming the others; with three and more input random variables, HWE becomes inflexible and LHS underperforms. …”
Get full text

A New Hyperparameter Tuning Framework for Regression Tasks in Deep Neural Network: Combined-Sampling Algorithm to Search the Optimized Hyperparameters by Nguyen Huu Tiep, Hae-Yong Jeong, Kyung-Doo Kim, Nguyen Xuan Mung, Nhu-Ngoc Dao, Hoai-Nam Tran, Van-Khanh Hoang, Nguyen Ngoc Anh, Mai The Vu

“…The CASOH framework integrates the Metropolis-Hastings algorithm with a uniform random sampling approach, increasing the likelihood of identifying promising hyperparameter configurations. …”
Get full text

Multi-Objective Optimization Scheduling for Electric Vehicle Charging and Discharging: Peak-Load Shifting Strategy Based on Monte Carlo Sampling by Jian Zheng, Jinglan Cui, Zhongmei Zhao, Guocheng Li, Cong Wang, Zeguang Lu, Xiaohu Yang, Zhengguang Liu

“…The proposed model enables multiple random sample values for EVs, considering varying weather conditions and time-of-use electricity prices. …”
Get full text

Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil by Shanyou Zhu, Hailong Zhang, Ronggao Liu, Yun Cao, Guixin Zhang

“…The results show that stratified sampling for strata construction and sample allocation using the MODIS-derived deforestation hotspots provided more precise estimations than simple random and systematic sampling. …”
Get full text

ESTIMATIONG TECHNICAL EFFICIENCY OF WHEAT FARMS UNDER SUPPLEMENTARY IRRIGATION USING THE STOCHASTIS FRONTIER APPROCH(SAMPLING AREA: TELLKEF DISTRICTL by Salim Al-Niamy, Z. Ahmed

“…The aim of thin work was to estimate the technical efficiency (TE) of wheat farms by using stochastic frontier analysis and transcendental logarithmic depending on field data of a random sample contain 53 farms in tellkef district-Nineveh proviance the results revealed a technical efficiency of 62% (medium) and thin means that the impact of in-efficiency represented by the element ui produce the same amount of wheat usin only 62% or less of the input to reach optimum efficiency . however there was a positive relation ship between mechanical technology with seeds, area, and production . mean while production had a negative relationship with labor and quantity of irrigated water. …”
Get full text

Automatic modulation classification for interrupted sampling proximity detector signals using time–frequency reconstruction network and polynomial chirplet transform by Guanghua Yi, Xinhong Hao, Xiaopeng Yan, Dan Hu, Yongzhou Wang, Jian Dai

“…To further boost learning efficiency with limited samples, a self-supervised pretraining strategy is employed, followed by transfer learning on small-scale labeled IS samples. …”
Get full text

A Pharmacokinetic Study of Zavegepant Nasal Spray in Healthy Adults Comparing Conventional Venous Blood Sampling With Patient‐Centric Microsampling by Mohamed H. Shahin, Ogert Fisniku, Ding Ding, Katty Wan, Sergey Dubrovin, Kyle Matschke, Olga Kavetska, Robert Fountaine, Jing Liu

“…ABSTRACT This Phase 1, non‐randomized, open‐label, 2‐period study compared the pharmacokinetics (PK) of zavegepant nasal spray, using samples collected via patient‐centric microsampling (PCS) devices, with those collected through venous phlebotomy (NCT05948085). …”
Get full text

MPN-RRT*: A New Method in 3D Urban Path Planning for UAV Integrating Deep Learning and Sampling Optimization by Yue Zheng, Ang Li, Zihan Chen, Yapeng Wang, Xu Yang, Sio-Kei Im

“…The increasing deployment of unmanned aerial vehicles (UAVs) in complex urban environments necessitates efficient and reliable path planning algorithms. While traditional sampling-based methods such as Rapidly exploring Random Tree Star (RRT*) are widely adopted, their computational inefficiency and suboptimal path quality in intricate 3D spaces remain significant challenges. …”
Get full text

Synthetic extracellular volume fraction as an imaging biomarker of the myocardial interstitium without blood sampling: a systematic review and meta-analysis by Naofumi Yasuda, Shingo Kato, Nobuyuki Horita, Ryusuke Sekii, Shungo Sawamura, Hiroaki Nagase, Daisuke Utsunomiya

“…Based on the relationship between Hct and blood T1 relaxivity for cardiac magnetic resonance (CMR), a synthetic ECV could be estimated without a blood sampling. The aim of this study was to evaluate the correlation and agreement in the quantification of synthetic ECV and laboratory ECV from conventional Hct measurements. …”
Get full text

Locomotive Passable Area Detection Based on Onboard LiDAR by LIU Bangfan, ZHANG Huiyuan, LI Chen, ZENG Xiang

Subjects: Get full text

The overlooked trio: sleep duration, sampling time and physical exercise alter levels of olink-assessed blood biomarkers of cardiovascular risk by Luiz Eduardo Mateus Brandão, Lei Zhang, Anastasia Grip, Mun-Gwan Hong, Emil Kåks, Rui Benfeitas, Fjola Sigurdardottir, Kaj Blennow, Henrik Zetterberg, Daniel Espes, Torbjørn Omland, Payam Emami Khoonsari, Christian Benedict, Jonathan Cedernaes

Get full text

Systematic follow-up investigation of NSP seroreactors and in-contact cattle and buffaloes for foot-and-mouth disease virus using probang sampling by Ankit Pannu, Swati Dahiya, Anshul Lather, Amandeep Kaur, Punesh Sangwan, Neelam Rani, C. S. Patil, Vikas Yadav, Naresh K. Kakker, Rajeev Ranjan, Jajati Keshari Mohapatra

“…An NSP reactivity of 36.7% (4/11) in cattle calves 2–4 months after vaccination indicated either the exposure of animals to FMDV or the presence of residual NSPs in the vaccine. None of the OPF samples collected twice from these cattle at intervals of 36–44 days were found to be positive for FMDV with RT-mPCR. …”
Get full text

Conservation of the endangered Grevy’s zebra: the influence of land use patterns on distribution and abundance in the Samburu–Laikipia landscape, Kenya by Joseph Nderitu Kirathe, Joseph Nderitu Kirathe, Daniel I. Rubenstein, Daniel I. Rubenstein

“…The aim was to understand how anthropogenic activities combined with seasonal weather patterns influence Grevy’s zebra abundance and distribution. Distance sampling was used to estimate Grevy’s zebra and cattle densities while vegetation structure and composition were measured using selected random line transects. …”
Get full text

Methodological report of a cross-sectional survey of abortion-related knowledge, attitudes and practices amongst health professionals in Britain, strategies adopted and lessons lea... by R. S. French, M. J. Palmer, O. McCarthy, N. Salaria, R. Meiksin, J. Shawe, M. Lewandowska, R. Scott, K. Wellings, the SACHA Study Team

“…We used a stratified cluster sampling approach to select a random sample of sites and all eligible staff within those services were asked to respond to the survey. …”
Get full text

Bivariate Power Lindley Models Based on Copula Functions Under Type-II Censored Samples With Applications in Industrial and Medical Data by Ehab M. Almetwally, Aisha Fayomi, Maha E. Qura

“…This study introduces three innovative bivariate models to address complex dependencies between random variables in real-world applications. Specifically, we develop bivariate power Lindley (BPL) distribution models utilizing the Gumbel, Frank, and Clayton copulas. …”
Get full text

Analysis of Microplastics in Industrial Processes—Systematic Analysis of Digestion Efficiency of Samples from Forestry, Wastewater Treatment Plants and Biogas Industries by Blaž Hrovat, Emilia Uurasjärvi, Arto Koistinen

“…It highlights the issues with the used analytical methods (such as misidentification) and validates the analysis results with milled, random shape and wide-size-range reference MPs that represent real samples better than standardized, ideal round beads. …”
Get full text

Knowledge and Self-care Practices among a Sample of Type II Diabetes in Duhok City: A Cross-Sectional Study by Vian Elyas Haidar, Rajab Hasan Sanaan

Get full text

Spatiotemporal Mapping and Driving Mechanism of Crop Planting Patterns on the Jianghan Plain Based on Multisource Remote Sensing Fusion and Sample Migration by Pengnan Xiao, Yong Zhou, Jianping Qian, Yujie Liu, Xigui Li

“…A random forest classifier was used to identify nine major planting patterns at a 10 m resolution. …”
Get full text

“Clinical Stability” and Propensity Score Matching in Cardiac Surgery: is the clinical evaluation of treatment efficacy algorithmdependent in small sample size settings? by Daniele Bottigliengo, Aslıhan Sentürk Acar, Veronica Sciannameo, Giulia Lorenzoni, Jonida Bejko, Tomaso Bottio, Emanuele Cozzi, Marta Vadori, Jean-Paul Soulillou, Thierry Le Torneau, Thomas Senage, Rafael Mañez, Cristina Costa, Vered Padler-Karavani, Sofia Scali, Massimiliano Carrozzini, Emilia Fiorello, Samuel Fusca, Gino Gerosa, Ileana Baldi, Paola Berchialla, Dario Gregori

“…Conclusion: Clinical stability of matched samples created with different statistical methods should always be evaluated to ensure reliability of final estimates. …”
Get full text

Who seeks care after intimate partner violence in Cameroon? sociodemographic differences between a hospital and population sample of women. by Mark T Yost, Kevin J Blair, McKayla Poppens, Michelle Mallahi, Lauren Eyler Dang, Rasheedat Oke, Melissa Carvalho, Georges Alain Etoundi-Mballa, Alan Hubbard, Marquise Kouo Ngamby, Sithombo Maqungo, Kudzai Chironga, Sandra I McCoy, Alain Chichom-Mefire, Catherine Juillard, Salome Maswime, Fanny Nadia Dissak Delon

Get full text