ST2L Transmembrane Receptor Expression: An Immunochemical Study on Endarterectomy Samples. by Andrea Marzullo, Francesca Ambrosi, Mirjam Inchingolo, Fabio Manca, Fiorella Devito, Domenico Angiletta, Annapaola Zito, Pietro Scicchitano, Marco Matteo Ciccone

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Child and adolescent sleep disturbances and psychopathology in a mental health clinic sample by Aviva Blacher, Katarina N. A. McKenzie, Shannon L. Stewart, Shannon L. Stewart, Shannon L. Stewart, Graham J. Reid, Graham J. Reid, Graham J. Reid, Graham J. Reid

“…Few studies have investigated the relationship between sleep and psychopathology in broad clinical samples of children. We examined the relationship between sleep disturbance and age on internalizing and externalizing psychopathology in a sample who sought treatment at children's mental health centers.MethodsSecondary data analyses were completed on a sample of children (N = 13,472; aged 4 to 18; 55% male) from 39 children's mental health agencies in Ontario, Canada, who completed a semi-structured assessment, the interRAI Children and Youth Mental Health (ChYMH). …”
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Adult female acne: prevalence and risk factors in a sample of the Brazilian population by Eloana Pasqualin Lange, Gabriela Roncada Haddad, Raul Pansardis Sampaio, Pedro Coltro Estella, Juliano Vilaverde Schmitt

“…OBJECTIVE: To assess the prevalence of AFA and its possible risk factors in a sample of the Brazilian population. METHODS: A cross-sectional clinical study was conducted with 258 women aged 25 to 55 stratified by race and age according to the Brazilian population (2010 census). …”
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Translation and evaluation of the Infant Characteristics Questionnaire in a sample of Swedish patients with craniosynostosis by Johanna Kling, Lars Kölby, Marizela Kljajić

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Long-Term DNA Storage of Challenging Forensic Casework Samples at Room Temperature by Chloé Scherer, Jean-Marc Josse, Naura Ikadoumène, Joséphine Gibert, Sylvain Hubac, Francis Hermitte

“…<b>Background:</b> The success of forensic genetics has led to considerable numbers of DNA samples that must be stored. For example, the genetic casework unit of the forensic institute of the French gendarmerie analyzes more than 70,000 casework samples per year mainly from swabs that are fully consumed during DNA extraction. …”
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Prevalence of Orthosomnia in a General Population Sample: A Cross-Sectional Study by Haitham Jahrami, Khaled Trabelsi, Waqar Husain, Achraf Ammar, Ahmed S. BaHammam, Seithikurippu R. Pandi-Perumal, Zahra Saif, Michael V. Vitiello

“…The cases consistently had higher AIS scores than non-cases across all APSQ cutoffs, indicating more severe insomnia symptoms, with significant differences observed at each cutoff point. …”
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Firework injuries are increasing in the United States: An analysis of the National Emergency Department Sample by Cindy C. Bitter, Zidong Zhang, Andrew W. Talbert, Alizabeth K. Weber, Leslie Hinyard

“…Given the increased availability of consumer fireworks, we sought to determine the incidence of firework‐related injuries compared with historical controls. Methods Firework‐related injuries were identified in the National Emergency Department Sample (NEDS) using the corresponding International Classification of Disease codes for the years 2008–2017. …”
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Evaluation of lateral flow devices for rabies diagnosis in decomposed animal brain samples by Ryota Todoroki, Joely T. Ongtangco, Kazunori Kimitsuki, Nobuo Saito, Milagros R. Mananggit, Cornelio R. Velasco, Jaira D. Mauhay, Alyssa M. Garcia, Catalino S. Demetria, Yamada Kentaro, Akira Nishizono

“…This study evaluates the diagnostic accuracy of the ADTEC lateral flow device (LFD) for rabies post-mortem diagnosis using decomposed brain samples. Methods We used 34 animal heads submitted with a cold chain to an animal diagnostic laboratory located in central Philippines including 26 DFAT-positive and eight DFAT-negative samples. …”
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Residues Analysis and Dissipation Dynamics of Broflanilide in Rice and Its Related Environmental Samples by Guai Xie, Wenwen Zhou, Mingxia Jin, Ailin Yu, Lei Rao, Horan Jia, Juan Luo, Yichang He, Baotong Li

“…Herein, we present a method for the quantitative analysis of broflanilide residues in water, soil, and rice samples from a paddy field in Jiangxi Province, China. …”
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Improved results on sampled-data synchronization control for chaotic Lur'e systems by Xinyu Li, Wei Wang, Jinming Liang

“…Utilizing these conditions, we compute the sampling controller gains through an enhanced iterative conditioned cone complementarity linearization iteration algorithm, thereby achieving synchronization of the master-slave system over more extended sampling periods. …”
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Green sample preparation protocol for extraction of carbazoles from petroleum source rock by Akinsehinwa Akinlua, Kai Mangelsdorf

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Alternative Nonparametric Test and Sample Size Procedures for the Comparison of Several Location Shifts by Show-Li Jan, Gwowen Shieh

“…Abstract The Kruskal–Wallis test is widely recommended as a nonparametric counterpart to the ANOVA F procedure for comparing more than two treatments. However, the associated asymptotic chi-square distribution tends to be conservative, especially for small sample sizes. …”
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Robust Single Sample Per Person Face Recognition with Probabilistic Illumination Enhancement by Muhammad Tariq Siddique, Ibrahim Venkat, Shah Hasan Shah Newaz, Sharul Tajuddin

“… The challenges imposed by the Single Sample Per Person face recognition problem become especially critical when face images are captured in uncontrolled environments, which typically involve variations in illumination, facial expression, pose, occlusion, and more. …”
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ASSESSMENT RESULTS OF COLLECTION SAMPLES OF WINTER WHEAT ON TOLERANCE TO SMUT (TILLETIA LEVIS) by N. V. Shishkin, T. G. Derova, D. M. Marchenko

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FAVIS: Fast and versatile protocol for non-destructive metabarcoding of bulk insect samples. by Elzbieta Iwaszkiewicz-Eggebrecht, Piotr Łukasik, Mateusz Buczek, Junchen Deng, Emily A Hartop, Harald Havnås, Monika Prus-Frankowska, Carina R Ugarph, Paulina Viteri, Anders F Andersson, Tomas Roslin, Ayco J M Tack, Fredrik Ronquist, Andreia Miraldo

“…To date, we have successfully applied the protocol to more than 7000 Malaise trap samples obtained from Sweden and Madagascar. …”
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Complex emotion processing and early life adversity in the Healthy Brain Network sample by Emily J. Furtado, M. Catalina Camacho, Jenna H. Chin, Deanna M. Barch

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ON LIMITING THE VOLUME FRACTION OF PARTICLES IN THE DISPERSE SAMPLE (FOR THE TASkS ON CONTROLLING THEIR MAGNETIC PROPERTIES) by A. A. Sandulyak, M. N. Polismakova, D. O. Kiselev, D. A. Sandulyak, A. V. Sandulyak

“…Direct experiments based on the ponderomotive Faraday method are realized with the use of a powder sample within the range of volume fraction γ ≤ 0.3 (for disperse phase - magnetite). …”
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Mechanism–Data Collaboration for Characterizing Sea Clutter Properties and Training Sample Selection by Wenhao Chen, Yong Zou, Zhengzhou Li, Shengrong Zhong, Haolin Gan, Aoran Li

“…Experimental results demonstrate that the proposed method provides a more accurate representation of sea clutter characteristics. …”
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Can Synthetic Data Allow for Smaller Sample Sizes in Chronic Urticaria Research? by Annika Gutsche, Pascale Salameh, Samad S. Jahandideh, Mehran Roodsaz, Serkan Kutan, Ali Salehzadeh‐Yazdi, Emek Kocatürk, Stamatios Gregoriou, Simon F. Thomsen, Kanokvalai Kulthanan, Papapit Tuchinda, Joachim Dissemond, Alicja Kasperska‐Zajac, Magdalena Zajac, Mateusz Zamłyński, Martijn vanDoorn, Claudio A. S. Parisi, Jonny G. Peter, Cascia Day, Cathryn McDougall, Michael Makris, Daria Fomina, Elena Kovalkova, Nikolai Streliaev, Gerelma Andrenova, Marina Lebedkina, Maryam Khoskhkui, Mehraneh M. Aliabadi, Andrea Bauer, Lea Kiefer, Melba Muñoz, Karsten Weller, Pavel Kolkhir, Martin Metz

“…Finally, we determined the minimum sample size required to generate high‐quality synthetic data. …”
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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…A distinguishing feature of this study is the application of a Convolutional Neural Network (CNN), which significantly outperforms traditional machine learning models in image-based pattern recognition by extracting contextual information from surrounding areas, a distinct advantage in image and pattern recognition tasks. Unlike conventional methods that often require manual feature selection and engineering, CNNs automate feature extraction, enabling a more nuanced understanding of complex patterns. …”
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