Self-collection of samples as an additional approach to deliver testing services for sexually transmitted infections: a systematic review and meta-analysis by Ping Teresa Yeh, Caitlin E Kennedy, Manjulaa Narasimhan, Igor Toskin, Yasmin Ogale

“…Background Self-collection of samples for diagnostic testing offers the advantages of patient autonomy, confidentiality and convenience. …”
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Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients by Patrick Veazie, Hsuan Chen, Kristin Hicks, Jake Holley, Nathan Eylands, Neil Mattson, Jennifer Boldt, Devin Brewer, Roberto Lopez, Brian Whipker

“…This study examines four different machine learning algorithms (J48, random forest [RF], sequential minimal optimization [SMO], and multilayer perceptron [MLP]) by two different cross‐validation strategies (10‐fold and 66% split) to determine if machine learning can be utilized to accurately classify foliar tissue samples within corresponding nutrient ranges. …”
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Prevalence of genes encoding carbapenem-resistance in Klebsiella pneumoniae recovered from clinical samples in Africa: systematic review and meta-analysis by Assefa Sisay, Getinet Kumie, Yalewayker Gashaw, Marye Nigatie, Habtamu Mesele Gebray, Melese Abate Reta

“…The pooled prevalence of carbapenemase genes in K. pneumoniae isolates from clinical samples across Africa increased over time, reported as 20.4%(-0.7–41.4%) for 2010–2015, 34.5% (20.2–48.8%) for 2016–2020, and 35.2% (24.8–45.5%) for 2021–2023, with heterogeneity (I2) values of 36.5%, 96.7%, and 99.3%, respectively. …”
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“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, Jean Christian Roussel, 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. …”
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Research on Path Planning of Manipulator Based on the Improved RRT-Connect Algorithm by Han Shaolong, Liu Wenqi, Liu Yuanshang, Zhang Jianlin, Liu Kaihui, Zheng Xiaoyun, Li Haolun, Wang Jianchao, Wang Xiang

“…First, two strategies, namely constraining the sampling area and target-oriented growth, are proposed to reduce the number of sampling times and randomness of the algorithm and shorten the planning time. …”
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Genetic Testing of a High-End ‘Angel Skin’ Precious Coral Necklace Identifies a Species New to the Precious Coral Trade and Potentially New to Science by Bertalan Lendvay, Laurent E. Cartier, Akitsugu Sato, Michael S. Krzemnicki, Masanori Nonaka, Nina Yasuda, Kenji Takata, Takeshi Hayashibara, Nadja V. Morf, Nozomu Iwasaki

“…Following minimally destructive sampling, respectively, drilling 2.2, 2.4, and 2.4 milligrams of material from the existing drill-holes, three randomly selected beads from the necklace were subject to a routine genetic identification assay, which is based on sequencing a short, taxonomically informative mitochondrial region. …”
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Is Anonymization Through Discretization Reliable? Modeling Latent Probability Distributions for Ordinal Data as a Solution to the Small Sample Size Problem by Stefan Michael Stroka, Christian Heumann

“…With 5–10% training data randomly split from each dataset population, it achieves an average 10% reduction in <i>MSE</i> and a ~5–10% increase in <i>R</i>² on out-of-sample test data overall.…”
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Psychometric properties and factor structure analysis of the inventory of statements about self-injury (ISAS) in a Russian non-clinical sample by Andrey A. Kibitov, Sergei S. Potanin, Olga M. Yagina, Vladimir I. Borodin, Margarita A. Morozova

“…Exploratory and confirmatory factor analysis (EFA/CFA) were performed on two randomly formed subgroups to evaluate the factor structure of ISAS. …”
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Prevalence of Anxiety and Depressive Disorders in a Sample of Moscow Residents: Comparison of the GAD-7 and HADS Results with a Clinical Assessment by Valeriya I. Savenkova, Yana A. Zorkina, Alexandra G. Ochneva, Angelina I. Zeltzer, Darya A. Ryabinina, Anna M. Tsurina, Elizaveta A. Golubeva, Anna S. Goncharova, Irina V. Alekseenko, George P. Kostyuk, Anna Yu. Morozova

“…CONCLUSION: The level of anxiety and depression in our sample of the population of Moscow, Russia, was higher than the global level. …”
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In vitro, Study of The Effect of Four Plant Aqueous Extracts on The Growth of Some Candida Species recovered from the stool samples of infants. by Intesar M. Juma, Ahmed Ali Mhawesh

“… Background: A total of (32) stool samples of infants, complaining of diarrhea were included in this study. …”
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Myomedin variants developed for in vitro PD-L1 diagnostics in tissue samples of non-small cell lung carcinoma patients by Hana Petroková, Joanna Maria Mierzwicka, Prosenjit Chakraborty, Leona Rašková Kafková, Jana Vaculová, Jozef Škarda, Ondřej Fischer, Petr Kosztyu, Milan Kuchař, Milan Raška, Petr Malý

“…Methods We used directed evolution of protein variants derived from a 13 kDa Myomedin loop-type combinatorial library with 12 randomized amino acid residues to select high-affinity binders of human PD-L1 (hPD-L1). …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…The combined application of these methods by selecting 3 features and quantizing the data values to 8 levels, then applying random sampling with 30% reductions and scaling the precision at 5 bits resulted in reductions of 87.5% in computation, 76.9% in memory usage, and 17% in delay, without any degradation in accuracy, as validated by tenfold cross-validation, Training Data validation, and full dataset validation. …”
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Efficient estimation method of population mean with non-response and observational error under ORRT models by Sunil Kumar, Chanda Rani, Housila P. Singh, J. P. S. Joorel

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Enhanced Detection of Mitochondrial Heteroplasmy and DNA Hypomethylation in Adipose-Derived Mesenchymal Stem Cells Using a Novel Adaptive Sampling Protocol by Antonina Gospodinova, Yuliia Mariienko, Diana Pendicheva-Duhlenska, Soren Hayrabedyan, Krassimira Todorova

“…These sparse methylation patterns showed non-random distribution, correlating with functional regions and heteroplasmic sites. …”
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Comparison of detection rate of 16 sampling methods for respiratory viruses: a Bayesian network meta-analysis of clinical data and systematic review by Kai Wang, Yi Zhang, Nianzong Hou, Haiyang Zhang, Mingjian Bai, Weidong Song, Fusen Jia, Shiliang Han, Bing Xie

“…The model indicated good consistency and convergence but high heterogeneity, hence, random-effect analysis was applied. The top three sampling methods for RVs were nasopharyngeal wash (NPW), mid-turbinate swab (MTS) and nasopharyngeal swab (NPS). …”
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Molecular imaging is non-inferior to adrenal vein sampling for diagnosing surgically curable primary aldosteronism: a prospective, within-patient study by Xilin Wu, Alasdair McIntosh, Alex McConnachie, Mark Gurnell, William M Drake, Morris J Brown

“…Conclusions  Overall, [11C]metomidate positron emission tomography is non-inferior to adrenal vein sampling in detecting unilateral primary aldosteronism. …”
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An Improved Knowledge-Based Ground Moving Target Relocation Algorithm for a Lightweight Unmanned Aerial Vehicle-Borne Radar System by Wencheng Liu, Yuan Zhang, Xuyang Ge, Yanlei Li, Yunlong Liu, Xiangxi Bu, Xingdong Liang

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On stability estimations without any conditions of symmetry by Romanas Januškevičius, Olga Januškevičienė

“… Let X, X1, X2, ..., Xn be i.i.d. random variables. B. Ramachandran and C.R. Rao have proved that if distributions of sample mean ‾X = ‾X(n) = (X1 + ⋯ + Xn)/n and monomial X are coincident at least at two points n = j1 and n = j2 such that log j1/ log j2 is irrational, then X follows a Cauchy law. …”
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<p><strong>Seasonal activity and spatial distribution pattern of <em>Eotetranychus frosti</em> (Acari: Tetranychidae) </strong><strong>in an unsprayed apple orchard of Kermanshah,... by Maryam Darbemamieh, Yaghoub Fathipour, Karim Kamali

“…Some changes in spatial distribution pattern from aggregated to random were observed using Morisita’s index in different sampling dates. …”
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Application of vaginal self-sampling test combined with p16 protein detection in HPV shunt screening for cervical cancer in Hainan Province by MAI Yueshi, CHEN Meijun, ZHOU Ye, XU Chuanwei, XING Xiuyue, LI Xiaoli, WANG Lina

“…ObjectiveTo establish a vaginal self-sampling HPV cervical cancer screening model in Hainan Province, to analyze the application of p16 protein detection in HPV positive and non-HPV16 /18 shunt screening.MethodsFrom January 2019 to September 2022, a total of 200 women from the targeted population was randomly selected for vaginal self-sampling HPV typing test to screen cervical cancer using randomized numeric table method, followed by cervical cytology sampling for cytology p16 protein detection. …”
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