The Heavy metals contamination and health risk assessment in food samples from the Democratic Republic of the Congo: A systematic review by Lievins-Corneille Mputu Malolo, Jocelyn Mankulu Kakumba, Patrick Ndelo Matondo, Yannick Nuapia Belo, Josaphat Ndelo-di-Phanzu

“…Chronic exposure can lead to serious health issues, with the impact of contaminated foods influenced by factors such as exposure level, body mass, age, and gender. …”
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SPS-RCNN: Semantic-Guided Proposal Sampling for 3D Object Detection from LiDAR Point Clouds by Hengxin Xu, Lei Yang, Shengya Zhao, Shan Tao, Xinran Tian, Kun Liu

“…To address these issues, we propose semantic-guided proposal sampling-RCNN (SPS-RCNN), a multi-stage detection framework based on point–voxel fusion. …”
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A Lightweight Kernel Density Estimation and Adaptive Synthetic Sampling Method for Fault Diagnosis of Rotating Machinery with Imbalanced Data by Wenhao Lu, Wei Wang, Xuefei Qin, Zhiqiang Cai

“…These challenges are particularly pronounced when defining decision boundaries accurately and managing limited computational resources in real-time machine monitoring. To address these issues, this study presents KDE-ADASYN-based MobileNet with SENet (KAMS), a lightweight convolutional neural network designed for fault diagnosis in rotating machinery. …”
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Biorefinery of Beach Cast Seaweed in Brazil: Renewable Energy and Sustainability by Fernando Pinto Coelho, Rômulo Simões C. Menezes, Everardo Valadares de S. B. Sampaio, Márcio Gomes Barboza, Emerson Carlos Soares, Elica Amara C. Guedes-Coelho, Elvis J. de França, Agnaldo J. dos Santos, Marcelo F. de Lima, Manoel Messias da S. Costa, Natache Gonçalves de M. Ferrão, Bruno M. Soares, Diego M. do Nascimento, Victor Andrei R. Carneiro, Cesar Augusto M. de Abreu

“…Firstly, the deposition of macroalgae was sampled through 28 collections on seven beaches in the city of Maceió, Brazil, over a two-year period using a zigzag sampling method, covering a deposition area of 135,000 m². …”
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A highly accurate nanopore-based sequencing workflow for culture and PCR-free microbial metagenomic profiling of urogenital samples by Ben Ferneyhough, Matthew Roddis, Sam Millington, Jess Quirk, Chrysolin Clements, Sean West, Rosalind Schilizzi, Michael D. Fischer, Nick J. Parkinson

“…These issues are also a barrier to adoption as standard clinical tools in, for example, diagnosis of urogenital infections. …”
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Design of a wideband quantum power and energy standard based on the sub-sampling method with programmable Josephson voltage standard by QIAN Lushuai, SHI Yang, ZHOU Kunli, JIA Yichen, ZHAO Jianting, QU Jifeng

“…To address these issues, this paper proposes a wideband quantum power and energy standard design based on programmable Josephson voltage standard. …”
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Enhancing the robustness of Mendelian randomization studies: lessons from a two-sample analysis of viral infections and colorectal cancer by Tianfei Yu, Jinyong Xia, Haichang Yin, Nana Yi, Lanlan Zhang, Ming Li

“…Abstract This Matters Arising article critically examines the study “Genetic susceptibility association between viral infection and colorectal cancer risk: a two-sample Mendelian randomization analysis” by Li et al., highlighting both its contributions and methodological limitations. …”
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Evaluating the Causal Association Between Type 2 Diabetes and Alzheimer’s Disease: A Two-Sample Mendelian Randomization Study by Si Han, Tom Lelieveldt, Miriam Sturkenboom, Geert Jan Biessels, Fariba Ahmadizar

“…<b>Results</b>: Of 271 articles, 8 MR studies were included (sample sizes: 68,905 to 788,989), all from European ancestry. …”
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A Survey of the Knowledge, Attitudes and Practices of a Sample of Albanian Medical Students in Relation to Occupational Exposure to Biological Agents by Lorenzo Ippoliti, Luca Coppeta, Ersilia Buonomo, Giuseppina Somma, Giuseppe Bizzarro, Cristiana Ferrari, Andrea Mazza, Agostino Paolino, Claudia Salvi, Vittorio Caputi, Antonio Pietroiusti, Andrea Magrini

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A novel extraction method of prymnesins from Prymnesium parvum whole culture samples and re-evaluation of existing protocols by Magdalena Pöchhacker, Alexander Conrad, Doris Marko, Elisabeth Varga

“…The detection of PRMs is still a challenge due to a lack of analytical standards and stability issues along with losses during conventional extraction methods. …”
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Assessment of Safety and Interference Issues of Radio Frequency Identification Devices in 0.3 Tesla Magnetic Resonance Imaging and Computed Tomography by M. Periyasamy, R. Dhanasekaran

“…Fifteen samples of RFID tags with two different sizes (wristband and ID card types) were tested. …”
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Trace Elements Analysis in Drinking Water of Meghalaya by Using Graphite Furnace-Atomic Absorption Spectroscopy and in relation to Environmental and Health Issues by Elarina N. Dkhar, Paul S. Dkhar, Jasha Momo H. Anal

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ELECTROACOUSTIC EXPERIMENTS IN FRENCH FILM MUSIC: ON THE ISSUE OF PREREQUISITES / ЭЛЕКТРОАКУСТИЧЕСКИЕ ЭКСПЕРИМЕНТЫ В КИНОМУЗЫКЕ ФРАНЦИИ: К ВОПРОСУ О ПРЕДПОСЫЛКАХ... by Platonova Olesia A. / Платонова О.А.

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Development of enriced butter by N. S. Bezverkhaya, O. A. Ogneva

“…At present the issues related to the prevention of diseases of the 20th century that arise with the development of human society and include external (infection, climate change, ecology) and internal (stressful situations, weakening of immunity, metabolic problems) reasons caused by the modern lifestyle are the topical issues of the world community. …”
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An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. by Yansong Liu, Shuang Wang, He Sui, Li Zhu

“…Only a few approaches tackle the joint issue of imbalance and concept drift. To overcome this joint issue, we propose an ensemble learning method with generative adversarial network-based sampling and consistency check (EGSCC) in this paper. …”
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Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset by Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, Carla Rimassa, Carla Taramasco

“…The dataset obtained from the EPIVIGILA system and the Chilean Epidemiological Surveillance Process contains information on over 6,000,000 patients, but, like many current datasets, it suffers from class imbalance. To address this issue, we applied various machine learning algorithms, both with and without sampling methods, and compared them using different classification and diagnostic metrics such as precision, sensitivity, specificity, likelihood ratio positive, and diagnostic odds ratio. …”
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Generalized robust regression techniques and adaptive cluster sampling for efficient estimation of population mean in case of rare and clustered populations by Mir Subzar, Taghreed Alqurashi, Deeksha Chandawat, Shahid Tamboli, T. A. Raja, Amit Kumar Attri, Shahid Ahmad Wani

“…Abstract Situations when field researchers are tempted to deviate from preselected sampling plan and to include nearby or related units in sample, then adaptive cluster sampling (ACS) offers a nearly completion solution. …”
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A mathematical model of steel sample stretching: Establishing a unified nature and mechanism of the relationship between deformation stages by Yurchenko Anatoly S., Yurchenko Stepan A.

“…Moreover, the current studies of this issue, despite the fact that they were carried out on the basis of a physical and mathematical approach, could not model the real process of this mechanism due to the fact that they did not find a single essence of this process. …”
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A Novel Interrupted-Sampling Repeater Jamming Suppression Method Based on Time-Frequency Analysis and Target Sparse Reconstruction by Zijian Wang, Jiamu Li, Wenbo Yu, Yunhua Luo, Zhongjun Yu

“…Interrupted-sampling repeater jamming (ISRJ) is a new kind of coherent jamming for linear frequency modulation (LFM) signals. …”
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RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples by Sun Fenghao, Li Guofa, He Jialong, Liu Shaoyang

“…To address this issue, this study proposes a frequency-adaptive fault diagnosis method for high-speed motors under small-sample scenarios. …”
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