Evaluation of a brief online multi-index assessment for predicting increased psychotic-like experiences in the community: A perceptual, cognitive and affective approach. by Caroline Cullen, Keith Gaynor, Klaus Kessler

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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…We also introduce a sector segmentation based sampling strategy and achieves parallel sampling of key points through our designed Adjacency Distance Update Farthest Point Sampling (ADUFPS) algorithm, significantly reducing computational overhead while improve sampling efficiency. …”
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A Hierarchical Knowledge Graph Embedding Framework for Link Prediction by Shuang Liu, Chengwang Hou, Jiana Meng, Peng Chen, Simon Kolmanic

“…To address these issues, we propose an easily pluggable hierarchical knowledge graph embedding framework. …”
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Mobility challenges for women: A case study of bus rapid transit Peshawar by Altaf Ayaz, Hamza Saleem, Muhammad Usama Bin Ayyub, Abdul Qadeer

“…The study highlights women's unique mobility challenges with Peshawar BRT. Addressing these issues can boost their education and economic prospects, as a major study sample was comprised of lower-income employees (80% having an income less than 40,000 PKR11 When conducting the survey, the average price of 1 US Dollar was 256.5 Pakistani Rupees.) and middle-aged students (48%). …”
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A Sensitive and Selective Sensor Based on Orthorhombic Copper Molybdate Decorated on Reduced Graphene Oxide for the Detection of Promethazine Hydrochloride by Venkatachalam Vinothkumar, Yellatur Chandra Sekhar, Shen-Ming Chen, Natesan Manjula, Tae Hyun Kim

“…However, an overdose or long-term intake of PMH can lead to severe health issues in humans. Hence, establishing a sensitive, accurate, and efficient detection approach to detect PMH in human samples is imperative. …”
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Plastic Smell: A Review of the Hidden Threat of Airborne Micro and Nanoplastics to Human Health and the Environment by Claudio Casella, Umberto Cornelli, Santiago Ballaz, Giuseppe Zanoni, Gabriele Merlo, Luis Ramos-Guerrero

“…Airborne micro and nanoplastics (MPs/NPs) are a growing issue due to their possible health hazards. Since the current bibliography lacks a thorough evaluation, this review examines the sources, environmental dynamics, and health impacts of airborne MPs/NPs. …”
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Massive MIMO channel estimation and feedback based on compressed sensing by Pan MAO, Xiaoguang HUANG, Wei WANG, Jian SONG

“…Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).…”
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Massive MIMO channel estimation and feedback based on compressed sensing by Pan MAO, Xiaoguang HUANG, Wei WANG, Jian SONG

“…Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).…”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

“…According to the “garbage in, garbage out” principle, even high-performing models may fail when trained on skewed distributions. To address this issue, this study investigates the impact of oversampling techniques, specifically the Synthetic Minority Over-sampling Technique (SMOTE) and thirty of its variants, on two benchmark text classification datasets: TREC and Emotions. …”
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Assessing the impact on quality of prediction and inference from balancing in multilevel logistic regression by Carolina Gonzalez-Canas, Gustavo A. Valencia-Zapata, Ana Maria Estrada Gomez, Zachary Hass

“…To the best of our knowledge, this is the first research that explores the impact of using balanced samples on coefficient estimation and prediction measures when using logistic multilevel modeling, finding evidence about the benefits of using balanced samples in this context.…”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

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FTG: Score-based black-box watermarking by fragile trigger generation for deep model integrity verification by Heng Yin, Zhaoxia Yin, Zhenzhe Gao, Hang Su, Xinpeng Zhang, Bin Luo

“…When verifying the watermarking information, the FTG only needs to compare the prediction results of the model on the samples with the previous label. As a result, the required model parameter information is reduced, and the FTG only needs a few samples to detect slight modifications in the model. …”
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End-to-End Horse Gait Classification in Uncontrolled Environments Using Inertial Sensors by Mahaut Gerard, Sandrine Hanne-Poujade, Guillaume Dubois, Henry Chateau, Neila Mezghani

“…This study aimed to classify gaits into six classes and to assess the training sample size required to maximize the performance. …”
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Characterization of bleeding in thrombotic thrombocytopenic purpura in the precaplacizumab era: a retrospective nationwide analysis by Amir A. Mahmoud, Mariam Mostafa, Ali Abdelhay, Mouhamed Yazan Abou-Ismail, Shruti Chaturvedi

“…Methods: We retrospectively analyzed the National Inpatient Sample database (2012-2019) and identified adult patients with a diagnosis of iTTP. …”
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Experimental researches of technological fluids' influence on gas permeability of sand-stone reservoirs by Vladimir Alekseevich Gridin, Valery Evseevich Dubenko, Julianna Konstantinovna Dimitriadi, Aleksandr Vladimirovich Serov

“…Artiicial cement-sand core samples with different permeability made by specified technology were applied as permeable samples. …”
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Disclosure of the diagnosis of Alzheimer's disease: caregivers' opinions in a Brazilian sample A revelação do diagnóstico de doença de Alzheimer: opiniões de cuidadores em uma amos... by Marta Maria Shimizu, I. Raicher, Daniel Yasumasa Takahashi, Paulo Caramelli, Ricardo Nitrini

“…BACKGROUND: Disclosure of the diagnosis of Alzheimer's disease (AD) remains a contentious issue, and has been little studied in developing countries. …”
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ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

“…Failing to choose a proper model or hypothesis class can lead to serious issues such as underfitting or overfitting. These issues have been addressed mostly by alternating modeling cost functions or by utilizing cross-validation methods. …”
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Analysis of Hybrid Learning Sentiment among Information Systems Students using The Naïve Bayes Classifier by Dolly Indra, Ramdaniah Ramdaniah, Widianti Sukur

“…The results indicated that the initial test had an accuracy of 60.87% without using the SMOTE up-sampling operator, while the second test achieved 80.65% accuracy with the operator.…”
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Performance Optimization Method of Steam Generator Liquid Level Control Based on Hybrid Iterative Model Reconstruction by Xiaoyu Li, Xiangsong Kong, Changqing Shi, Jinguang Shi, Zean Yang

“…The method first constructs the initial dataset with a small-sample Latin-square experiment design and then builds two different fitting models, SVM and Kriging, based on the initial dataset respectively, under the hybrid model fusion idea. …”
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A retrospective analysis of the incidence and risk factors for amniotic fluid embolism in cesarean deliveries by Xianghua Cao, Qiangjun Gui, Haoran Yan, Yujiao Wei, Xiaoling Chen, Deng Liang, Xueping Li, Jian Wang, Bingsha Chen

“…Purposes We aim to examine the correlation between clinical issues, prenatal complications, comorbidities, medical perioperative complications, and cesarean section surgery of AFE in the US, utilizing a Nationwide Inpatient Sample (NIS) database. …”
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