BIONIC PROSTHESES - FEATURES, KINDS AND POSSIBILITIES by Nikola Sabev, Ivan Ralev

“…The sequence of steps in the operation of a system using bionic technology to control a prosthesis is described. …”
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The unexpected role of the STING protein in lipid metabolism by Vila, Isabelle K., Laguette, Nadine

“…Detection of cytosolic pathological nucleic acids is a key step for the initiation of innate immune responses. …”
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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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Expression Marker-Based Strategy to Improve Beef Quality by Isabelle Cassar-Malek, Brigitte Picard

“…In this paper, we describe the steps of an expression marker-based strategy to improve beef sensory quality, from the discovery of biomarkers that identify consistent beef and the biological functions governing beef tenderness to the integration of the knowledge into detection tests for desirable animals. …”
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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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Testing Scheme Design for Grabbing Positioning and Release Mechanism in Space Microgravity Environment by Yang Zhong, Huisen Zhang, Chao Xue

“…Consequently, the assessment of the GPRM functionality in a microgravity environment is a crucial step in the advancement of gravitational wave detection technology. …”
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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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APAV: An advanced pangenome analysis and visualization toolkit. by Xiaorui Dong, Du Jiao, Hongzhang Xue, Shiyu Fan, Chaochun Wei

“…Additionally, the visual inspection of PAVs is an important but time-consuming step for pangenome analysis and result interpretation. …”
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A Hybrid Approach to Enhanced Signal Denoising Using Data-Driven Multiresolution Analysis with Detrended-Fluctuation-Analysis-Based Thresholding and Stationary Wavelet Transform by Fatima Kozhamkulova, Muhammad Tahir Akhtar

“…The existing DFA-based methods use a single-slope threshold to detect noise, assuming all signals have the same noise pattern and ignoring their unique characteristics. …”
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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-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures by Somnath Ghosh, Saikat Dan, Preetam Tarafder

“…The DT framework consists of a two-step computational process integrating multiscale-multiphysics modeling with machine learning (ML) tools to detect damage progression in the piezoelectric composite structure using electrical signal measurements at a few surface points. …”
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Counseling an alcohol abuse patient by Zh. V. Maksimova, D. M. Maksimov

“…However, it is precisely this that causes the massive prevalence of alcohol-related physical and mental health problems, as well as social functioning. The situation can be improved, including through early detection and effective behavioral counseling, especially in primary health care. …”
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Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force by Akmal Suhaimi, Arash Zulkarnain, Noraziah Mohamad Zin, Abdullah Abdulhameed, Aminuddin Ahmad Kayani, Ramdzan Buyong

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Multivariate hypergeometric solutions of cosmological (dS) correlators by d log-form differential equations by Jiaqi Chen, Bo Feng, Yi-Xiao Tao

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Spin signature of majorana fermions in topological nodal-point superconductors by Junjie Zeng, James Jun He, Zhen Ning, Dong-Hui Xu, Rui Wang

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Design, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulator by Diego Quevedo‐Moreno, Sang‐Yoep Lee, Jonathan Tagoe, Vishnu Emani, Jean Bonnemain, Ellen T. Roche

“…The device uses fabric‐based pneumatic actuators to provide targeted mechanical assistance during inhalation. A two‐step control system is implemented to optimize synchronization and support: 1) detecting breath intention from the pleural pressure signal to trigger the device and 2) regulating the device's input pressure to assist in inhalation. …”
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Beyond Global Metrics: The U-Smile Method for Explainable, Interpretable, and Transparent Variable Selection in Risk Prediction Models by Katarzyna B. Kubiak, Agata Konieczna, Anna Tyranska-Fobke, Barbara Więckowska

“…Variable selection (VS) is a critical step in developing predictive binary classification (BC) models. …”
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LONG-TERM RESULTS OF THE TREATMENT OF PATIENTS WITH PERILYMPHATIC FISTULAS LOCATED IN THE AREAS OF THE LABYRINTH WINDOWS by Ilona A. Srebniak, Olga V. Sherbul-Trokhymenko

“…To evaluate the clinical and functional outcomes of treatment in patients with unilateral sudden and acute sensorineural hearing loss, fluctuating and sensorineural deafness, as well as perilymphatic fistulas by assessing the effectiveness of minimally invasive diagnostic tympanotomy with one-step labyrinthine window plastic surgery. …”
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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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