Sensitivity and Specificity of Three Measures of Intrinsic Capacity in Older People Aged 80 and Over in Nursing Homes by Ma L, Zheng E, Fang Y, Chen H, Zhou C, Cai S, Luo F, Jiang W, Wang J, Ning X, Tu H, Yin Z

“…To save resources, ICOPE Step 1 can be considered for direct assessment in non-sensory domains. …”
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A novel method for reliably measuring miniature and spontaneous postsynaptic events in whole-cell patch clamp recordings in the central nervous system by Martynas Dervinis, Guy Major

“…As a result, solutions for reliably measuring the quantal size in somatic recordings also do not exist. As the first step in proposing and testing a potential solution, we developed and described a novel miniature postsynaptic event detection algorithm as part of our quantal analysis software called “minis”. …”
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A music structure analysis method based on beat feature and improved residual networks. by Bing Lu, Qianxue Zhang, Yi Guo, Fuqiang Hu, Xuejun Xiong

“…Music structure analysis (MSA) contains two tasks, boundary detection and segment labeling. Boundary detection and Segment labeling are expected to accurately divide music segments and clarify the function. …”
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Modern Concepts of Clinical and Diagnostic Criteria for Premature Ovarian Failure (Literature Review) by M. D. Salimova, Ya. G. Nadelyaeva, I. N. Danusevich

“…As a result of the analysis of the literature data, a step-by-step diagnosis of pathology was described, the main shortcomings of the main marker for assessing ovarian function – folliclestimulating hormone – were identified and listed. …”
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Diagnostics and treatment of chronic constipation in adults: clinical guidelines of the Russian gastroenterological association by V. T. Ivashkin, I. V. Mayev, A. A. Sheptulin, A. S. Trukhmanov, Ye. A. Poluektova, Ye. K. Baranskaya, O. S. Shifrin, T. L. Lapina, M. F. Osipenko, V. I. Simanenkov, I. B. Khlynov

“…At diagnosing of functional constipation early detection of «alarm symptoms» which require thorough patient investigation is important. …”
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MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature by Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar

“…Alzheimer’s disease (AD) is a degenerative neurological condition characterized by cognitive decline, memory loss, and reduced everyday function, which eventually causes dementia. Symptoms develop years after the disease begins, making early detection difficult. …”
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Precoding Method Interference Management for Quasi-EVD Channel by Wei Duan, Wei Song, Sang Seob Song, Moon Ho Lee

“…This approach used for the design of BD precoding matrix can significantly reduce the computational complexity and proposed algorithm can address several optimization criteria, which is achieved by designing the precoding matrices in two steps. In the first step, we use Cholesky decomposition to maximize the sum-of-rate (SR) with the minimum mean square error (MMSE) detection. …”
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Empirical Analysis of Vulnerabilities in Blockchain-based Smart Contracts by Dr. Kashif Mehboob Khan, Ansha Zahid

“…The methodology’s first step is to gather all of the Ethereum SC and store them in a repository. …”
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C57BL/6N albino/agouti mutant mice as embryo donors for efficient germline transmission of C57BL/6 ES cells. by Branko Zevnik, Nathalie C Uyttersprot, Ana V Perez, Gerald W M Bothe, Heidrun Kern, Gunther Kauselmann

“…This strain has a high superovulation response, allows visual detection of chimeric coat color contribution of C57BL/6 ES-cells and provides a simplified breeding format that generates black G1 offspring of pure inbred C57BL/6 background in one step, providing the ideal host for genetically manipulated C57BL/6 ES cells.…”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The main problem of using standard optimization methods is the need to change all parameters in same-size steps, regardless of the behavior of the gradient. …”
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Versatile Click Chemistry-based Approaches to Illuminate DNA and RNA G-Quadruplexes in Human Cells by Angélique Pipier, David Monchaud

“…The existence and functional relevance of DNA and RNA G-quadruplexes (G4s) in human cells is now beyond debate, but how did we reach such a level of confidence? …”
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DETERMINATION OF LEVEL EXPRESSION OF mRNA SPLICING VARIANTS FOR DR3 IN BLOOD CELLS IN INFECTIOUS MONONUCLEOSIS by V. D. Cvetkova, N. A. Sakharnov, D. I. Knyazev, O. V. Utkin, N. V. Neumoina, N. F. Brusnigina

“…The technique proved to be specific and sensitive (a semi-quantitative detection limit = 34-35 cycles) when tested in healthy volunteers and patients with acute infectious mononucleosis (AIM). …”
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Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN) by Nabila Henisaniyya, Citra Pertiwi, Anita Desiani, Ali Amran, Muhammad Arhami

“…This gland, located below the Adam’s apple, is responsible for coordinating various metabolic processes in the body, making its function essential. Early detection of thyroid symptoms is crucial as an initial step in planning the necessary treatments to prevent more severe thyroid-related health risks. …”
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Next-generation carbon nanotube electrochemical sensors for liquid biopsy applications by Samuel Rantataro, Eero Gustafsson, Ilkka Varjos

“…The detection and quantification of circulating tumor DNA (ctDNA) from blood samples offers a non-invasive approach for cancer diagnostics and treatment monitoring. …”
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Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Therefore, to help with patients' long-term assessment and treatment, an effective automatic detection system is required. Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
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Use of bovine serum albumin might impair immunofluorescence signal in thick tissue samples by Anna Chwastowicz, Artur Wolny, Magdalena Sobień, Marcin Barański, Jacek Tomczuk, Michał Szatkowski, Aleksandra Szredzka, Jakub Gołąb, Leszek Kaczmarek, Marzena Stefaniuk, Paweł Matryba

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Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol by Ana Lia Bernardo, Anne Parra, Virginia Cebrián, Óscar Ahumada, Sergio Oddi, Enrico Dainese

“…In the present study, a novel strategy for cholesterol quantification was developed, leveraging a plasmonic optical readout in conjunction with a highly specific cholesterol-binding peptide (C-pept) as a biorecognition element, anchored on a functionalized silica substrate. The resulting biosensor exhibited an exceptionally low detection limit of 21.95 µM and demonstrated a linear response in the 10–200 µM range. …”
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Gold Nanoparticles Electrodeposition Onto Thick Diazonium Film for Sensitive and Long-Lasting Hg(II) Trace Sensing by Fatma Fezai, Christelle Virolle, Yacine Kacimi, Brigitte Dustou, Dunya El Boutaybi, Childérick Séverac, Pierre Gros, Martine Meireles, David Evrard

“…Each step of the functionalization process was studied by cyclic voltammetry using ferricyanide and ruthenium hexaammine as the redox probes. …”
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Rethinking timing residuals: advancing PET detectors with explicit TOF corrections by Stephan Naunheim, Stephan Naunheim, Luis Lopes de Paiva, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Yannick Kuhl, Stefan Gundacker, Stefan Gundacker, Florian Mueller, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz

“…PET is a functional imaging method that can visualize metabolic processes and relies on the coincidence detection of emitted annihilation quanta. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…This software is a versatile open-source tool for processing amplicon sequences, offering advantages such as high speed, efficient memory usage, and the ability to handle large datasets. It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. …”
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