21 papers · ranked by Valyu relevance
Xiaoyan Song, Gaomin Zhang, Chang Zhou
Efficient communication is crucial in reducing injuries and fatalities in coal mine accidents, necessitating the study of simulation methods for mine communication. When transceiver antennas are positioned close to the same side of the tunnel, the simulation results from the Ray Tracing (RT) method exhibit significant…
Kapil Nichani, Steffen Uhlig, Manfred Stoyke, Sabine Kemmlein + 5 more
'Franz Ulberth' 'Ilka Haase' 'Maik Döring' 'Stephan G Walch' 'Petra Gowik'] Title: Highlights 1. • Increasing applications of non-targeted methods (NTMs) in the detection of food fraud and determination of food authenticity. 2. • Understanding the expanding set of terminologies and notations around NTMs for widespread…
Sarah A. Gagliano, Michael R. Barnes, Michael E. Weale, Jo Knight
The increasing quantity and quality of functional genomic information motivate the assessment and integration of these data with association data, including data originating from genome-wide association studies (GWAS). We used previously described GWAS signals (“hits”) to train a regularized logistic model in order to…
Yinxuan Qu, Chenyang Yu, Chunhui Li, Yuzhu Yang
Title: Summary This paper presents a classification method for laser-printed documents, integrating the random forest algorithm with the gray prediction model to enhance the accuracy and reliability of forensic document examination. The study utilizes 14 laser printers from five different brands as experimental…
Khalifa, Ottavio, Viet-Thi Tran, Alan Balendran + 1 more
Materials and Methods : We searched PubMed (via MEDLINE), Web of Science, and Google Scholar, from inception up to November 2024 to identify articles that propose and evaluate clustering techniques for CTS. Methods were classified according to three major families—distance-based, feature-based, and model-based—and…
Rex Parsons, Oliver Jayasinghe, Nicole White, Prasad Chunduri + 1 more
The complexity, volume, and importance of time series data across various research domains highlight the necessity for tools that can efficiently analyze, visualize, and extract insights. Cosinor modeling is a widely used methodology to estimate or compare rhythmic characteristics in time series datasets. Time series…
Ryuji Hamamoto, Masaaki Komatsu, Ken Takasawa, Ken Asada + 1 more
'Syuzo Kaneko'] To clarify the mechanisms of diseases, such as cancer, studies analyzing genetic mutations have been actively conducted for a long time, and a large number of achievements have already been reported. Indeed, genomic medicine is considered the core discipline of precision medicine, and currently, the…
Matthew Lewis, Elena Chekmeneva, Stephane Camuzeaux, Caroline Sands + 11 more
Metabolomics utilising liquid chromatography mass spectrometry (LC-MS) offers biomedical researchers a powerful means of assessing and comparing human phenotypes via measurement of the metabolome in biological samples. Platforms for LC-MS-based global profiling quantify hundreds or thousands of small molecule…
Edward Flach, Santiago Schnell
We are interested in finding the kinetic parameters of a chemical reaction. Previous methods for finding these parameters rely on the dynamic behaviour of the system. This means that the methods are time-sensitive and often rely on non-linear curve fitting.
Authors not listed
Solubility is critical in drug discovery and development, as it significantly influences a medication's bioavailability and therapeutic efficacy. Understanding solubility at the early stages of drug discovery is essential for minimizing resource consumption and enhancing the likelihood of clinical success via…
Alexander Müller, Matthias Eifler, A. Jawaid, Jörg Seewig
Conventional field parameters for surface measurement use all data points, while feature characterization focuses on subsets extracted by watershed segmentation. This approach enables the extraction of specific features that are potentially responsible for the function of the surface or are a direct reflection of the…
Rebeca González-Cabaleiro, Anca M. Mitchell, Wendy Smith, Anil Wipat + 1 more
'Irina D. Ofiţeru'] Cellular heterogeneity influences bioprocess performance in ways that until date are not completely elucidated. In order to account for this phenomenon in the design and operation of bioprocesses, reliable analytical and mathematical descriptions are required. We present an overview of the single…
James. A. Beauchamp, Obaid U Khurram, Julius P.A. Dewald, Charles J. Heckman + 1 more
Successive improvements in high density surface electromyography and decomposition techniques have facilitated an increasing yield in decomposed motor unit (MU) spike times. Though these advancements enhance the generalizability of findings and promote the application of MU discharge characteristics to inform the…
Authors not listed
Vaccination is a highly efficient strategy in controlling infections. Aluminum-containing adjuvants have long been used to enhance immunogenicity, but quantification of adsorbed antigens remains analytically challenging. This study uses Raman spectroscopy, a powerful, non-destructive technique, augmented by machine…
Maik Herbig, Karen Tessmer, Martin Nötzel, Ahsan Ahmad Nawaz + 5 more
Biomedical research often relies on identification and isolation of specific cell types using molecular biomarkers and sorting methods such as fluorescence or magnetic activated cell sorting. Labelling processes potentially alter the cells’ properties and should be avoided, especially when purifying cells for clinical…
Susanta Das, Kenneth M. Merz, Jr.
Accurately determining the global minima of a molecular structure is important in diverse scientific fields, including drug design, materials science, and chemical synthesis. Conformational search engines serve as valuable tools for exploring the extensive conformational space of molecules and identifying energetically…
Ariel L. Rivas, Gabriel Leitner, Mark D. Jankowski, Almira L. Hoogesteijn + 10 more
'Almira L. Hoogesteijn' 'Michelle J. Iandiorio' 'Stylianos Chatzipanagiotou' 'Anastasios Ioannidis' 'Shlomo E. Blum' 'Renata Piccinini' 'Athos Antoniades' 'Jane C. Fazio' 'Yiorgos Apidianakis' 'Jeanne M. Fair' 'Marc H. V. Van Regenmortel'] Evolution has conserved “economic” systems that perform many functions, faster…
Shahin Pourbahrami
Making a simple model by choosing a limited number of features with the purpose of reducing the computational complexity of the algorithms involved in classification is one of the main issues in machine learning and data mining. The aim of Feature Selection (FS) is to reduce the number of redundant and irrelevant…
Rui Portocarrero Sarmento, Vera L. Costa
The use of statistical software in academia and enterprises has been evolving over the last years. More often than not, students, professors, workers and users in general have all had, at some point, exposure to statistical software. Sometimes, difficulties are felt when dealing with such type of software. Very few…
Francois Simon, Jean-Yves Tinevez, Sven van Teeffelen
Single-particle tracking microscopy is a powerful technique to investigate how proteins dynamically interact with their environment in live cells. However, the analysis of tracks is confounded by noisy molecule localization, short tracks, and rapid transitions between different motion states, notably between immobile…
Jesús S. Aguilar–Ruiz
Feature Selection techniques aim at finding a relevant subset of features that perform equally or better than the original set of features at explaining the behavior of data. Typically, features are extracted from feature ranking or subset selection techniques, and the performance is measured by classification or…