Multi-behavior aware recommendation with joint contrastive learning and reinforced negative sampling by Yujia Du, Zhengtao Yu, Hongbin Wang

“…The existing methods still face challenges in terms of modeling behavioral dependencies, handling skewed data distributions, and optimizing the quality of negative samples. …”
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Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling by Bhatt Ravi Jitendrakumar, Ashish Kumar, Monika Saini

“…In this paper we present a neutrosophic exponential-ratio estimator for calculating the population mean using simple random sampling. In sampling methods classical statistics always depends on exact and complete data, but when we are dealing with unclear data these all become insufficient. …”
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Exploring environmental risk in soils: Leveraging open data for non-sampling assessment? by Silvia Aparisi-Navarro, Maria Moncho-Santonja, Beatriz Defez, Carla Candeias, Fernando Rocha, Guillermo Peris-Fajarnés

“…Soil contamination by heavy metals (HM) is a critical area of research. Traditional methods involving sample collection and lab analysis are effective but costly and time-consuming. …”
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Comparative Analysis of Single-Path and Multipath Adrenal Venous Sampling in Primary Aldosteronism by Zhoufei Fang, Han Cai, Qixiang Zhang, Jin Gong, Wei Zhou, Liangdi Xie, Feng Peng

“…When the RAV is opened in the III quadrant, the TIG catheter improves the cannulation success rate. The multipath AVS method provides more catheter options. Patients diagnosed with PA at the First Hospital of Fujian Medical University from December 2019 to December 2021 were included. …”
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Class of Calibrated Estimators of Population Proportion Under Diagonal Systematic Sampling Scheme by Ahmed Audu, Maggie Aphane, Jabir Ahmad, Ran Vijay Kumar Singh

“…Therefore, this study introduced two novel methods for estimating population proportion using diagonal systematic sampling with the help of an auxiliary variable. …”
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An efficient spectrum sensing of mixed kernel SVM based on sampling covariance matrix by Jianyuan NIE, Jianrong BAO, Bin JIANG, Chao LIU, Fang ZHU, Jianhai HE

“…In recent years,with the blind detection algorithms were proposed,more and more blind algorithms based on sampling covariance matrix were applied to spectrum sensing.The detection threshold was an approximation,and the detection performance would be affected for this algorithms.Thus,the mixed kernel function support vector machine (SVM) efficient spectrum sensing based on sampling covariance matrix was proposed.The statistics which were maximum minimum eigenvalue (MME) and covariance absolute value (CAV) of sensing signal sampling covariance matrices were used as the feature vectors of SVM and were trained to generate a spectrum sensing classifier.The advantage of this algorithm was that it needn’t calculate the detection threshold and the extraction of features reduces size of the sample set.The genetic algorithm (GA) was used to optimize the parameters of mixed kernel function SVM algorithm.The experimental results show that the proposed method has higher detection probability than MME and CAV algorithms,and has less sensing time than SVM,which has good practicability.…”
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Analysis of Product Sampling for New Product Diffusion Incorporating Multiple-Unit Ownership by Zhineng Hu, Yurong Pei, Ruikun Xie

“…Multiple-unit purchasing behavior can increase sales to make more profit for a firm, and it needs more samples to make the product known much better. …”
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An improved height sampling approach used for global urban building height mapping by Tingting He, Yihua Hu, Fashuai Li, Yuwei Chen, Maoxin Zhang, Qiming Zheng, Baiyu Dong, He Ren

“…Both datasets are open-access, providing a more comprehensive and representative sample base for model construction. …”
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Exploring the divide between dental clinicians and academics for more inclusive partnerships: perspectives on building a research network by Maria Zych, Carilynne Yarascavitch, Amir Azarpazhooh, Joanna Sale

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Bayesian model comparison and parameter inference in systems biology using nested sampling. by Nick Pullen, Richard J Morris

“…In this work we apply Skilling's nested sampling to address both of these problems. Nested sampling is a Bayesian method for exploring parameter space that transforms a multi-dimensional integral to a 1D integration over likelihood space. …”
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Segmental Dynamic Duty Cycle Control for Sampling Scheduling in Wireless Sensor Networks by Lufeng Mo, Yujia Jiang, Guoying Wang, Jizhong Zhao

“…That is to say, the SDDC method needs smaller sampling rate if the reconstructive error threshold is given and consequently saves more energy.…”
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Rapid Determination of Trace Impurity Elements in Pure Molybdenum by Inductively Coupled Plasma-Mass Spectrometry Based on the Online-Standard-Addition Method by Yichuan TANG, Yuanyuan FENG, Tao ZHOU, Yanjie CUI, Jianying ZHANG

“…Relative deviation of less than 1% between the two methods was found.　　Calibration of the difference for flow rate between the sample and standard injection. …”
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How School Principal’s Humility Encourages Teachers to Be More Innovative : The Role of Informal Learning and Psychological Safety as Mediators by Rifdah Qotrunnada, Arum Etikariena

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What Matters More: Religious Values or Academic Excellence?A Conjoint Analysis of Parental Priorities in Islamic Education by Anjani Wira Murti, P Purwanto, Awan Kostrad Diharto, Deddy Ramdhani, Muhammad Badat Alauddin

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Utilitarian VS Hedonic Value: Which is More Influential for Indonesian Consumers in Increasing Purchase Intention in E-Commerce? by Nisrina Sherin Caesalpinia, Bethani Suryawardani

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Do post-pandemic bronchiolitis require more ventilatory support? Perspective from a level II hospital by Gonçalo Passos Croca, Catarina Mendonça, Teresa Magalhães, Mariana Viegas, Catarina Gomes

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PCSK9 is upregulated and correlated with more severe disease condition but fails to predict treatment outcomes in psoriasis patients by Xuwen Yin, Lei Shi, Ni Zhang, Heng Li, Jianwen Long, Xinjian Yu

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Are we working (too) comfortably?: the systematic development of an intervention to support workers to move more while working at home by Divya Sivaramakrishnan, Claire Fitzsimons, Sarah Morton, Jillian Manner, Ruth Jepson, Ailsa Niven

“…Further feasibility and effectiveness testing with a larger sample is recommended prior to large-scale implementation.…”
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MORE-RNAseq: a pipeline for quantifying retrotransposition-capable LINE1 expression based on RNA-seq data by Yutaka Nakachi, Jianbin Du, Jianbin Du, Risa Watanabe, Risa Watanabe, Yutaro Yanagida, Miki Bundo, Kazuya Iwamoto

“…We also identified differentially expressed rc-L1s at the locus level, which will be the important candidates for downstream analysis. We also applied our method to young and aged human muscle RNA-seq data with no prior information about L1 expression, and found a significant increase of rc-L1 expression in the aged samples. …”
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Unified Hybrid Censoring Samples from Power Pratibha Distribution and Its Applications by Hebatalla H. Mohammad, Khalaf S. Sultan, Mahmoud M. M. Mansour

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