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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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

“…Automated segmentation of gastrointestinal polyps is a critical step in the early detection and prevention of colorectal cancer (CRC), which is one of the most common causes of cancer-related deaths worldwide. …”
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Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model. by Walter S Mathis, Maria Ferrara, Shadie Burke, Emily Hyun, Fangyong Li, Bin Zhou, John Cahill, Emily R Kline, Matcheri S Keshavan, Vinod H Srihari

“…We present a novel approach to characterize and analyze PTC and demonstrate its value for the design and implementation of early detection efforts.<h4>Methods</h4>Type and date of every encounter, or node, along the PTC were encoded for 156 participants enrolled in the clinic for Specialized Treatment Early in Psychosis (STEP), within the context of an early detection campaign. …”
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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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Safe Switching Model-Free Value Iteration for General Nonlinear Systems by Timotei Lala

“…Using the initial controller Q-function and the one continuously actualized during learning, the stability of the switching mechanism in closed loop with the system is derived using the Multiple Lyapunov Functions (MLF) framework. …”
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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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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…It is acknowledged that the early detection of Parkinson’s disease is contingent upon critical parameters, including stride length, stance duration, swing interval, double limb support, step time, and step length. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…For outlier detection, statistical methods were employed, followed by a comparative evaluation of three models—LSTM, LSTM-KAN, and Seq2Seq-Attention—for multi-step wind speed forecasting over horizons ranging from 1 to 12 h. …”
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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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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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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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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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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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Specificity of Methylation Assays in Cancer Research: A Guideline for Designing Primers and Probes by Zeinab Barekati, Ramin Radpour, Corina Kohler, Xiao Yan Zhong

“…This highlights the critical need for specific primer and probe design to avoid false-positive detection of methylation profiling. The guideline and online web tools that are introduced in this paper might help to perform a successful experiment and to develop specific diagnosis biomarkers by designing right primer pair and probe prior to experimental step.…”
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The roles of natural history during ecological research by Luis Marone, Fabián M. Jaksic

“…Still, some authors suggest that patient observation of natural history must be valued as ‘an essential first step in the scientific method’. We think that there is a strong connection between ecology and natural history, and thus delve into such relationship to propose that a) natural history observations are necessary for science problematization (i.e., for the detection of meaningful ecological research problems) and, in some specific contexts, for generating low-level or pattern hypotheses. …”
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Application of lossless signal transmission technology in piano timbre recognition by Li Lin

“…Next the analog signal is converted into a digital signal through an A/D converter for subsequent digital signal processing and recognition. Accurate detection of DTMF signals is a crucial step in the application of technology in signal processing, which directly affects the effectiveness of timbre recognition. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…On the other hand, highly permeable fractures function as the main flow conduits within such reservoirs. …”
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

“…The experiment show that the algorithm for traditional neural network algorithm for function fitting better test; on breast_cancer dataset, the accuracy is 97 57% and the detect errors is 2 07%,better than the classical machine learning algorithms…”
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Transcription-Coupled Nucleotide Excision Repair: A Faster Solution or the Only Option? by Andriy Khobta, Leen Sarmini

“…Considering that damage detection is the rate-limiting step of overall repair reactions in most cases and that the mechanisms of the initial recognition of modified DNA structure are fundamentally different between TC-NER and GG-NER, it is suggestive to attribute the observed kinetic differences to different damage spectra recognized by the two pathways. …”
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