Genome-wide identification of human functional DNA using a neutral indel model. by Gerton Lunter, Chris P Ponting, Jotun Hein

“…Identification of this non-coding functional sequence using comparative approaches is proving difficult and has previously been thought to require deep sequencing of multiple vertebrates. …”
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Evaluation of Regional Taste Function in Healthy Thai Subjects Using Standard Suprathreshold Tastants by Tharatham Phonmanee, Naruphon Sastranuruk, Paraya Assanasen, Kawita Atipas

“… Objective: To evaluate regional taste function in normal Thai subjects using standard suprathreshold tastants. …”
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Mapping traumatic axonal injury using diffusion tensor imaging: correlations with functional outcome. by Virginia Newcombe, Doris Chatfield, Joanne Outtrim, Sarah Vowler, Anne Manktelow, Justin Cross, Daniel Scoffings, Martin Coleman, Peter Hutchinson, Jonathan Coles, T Adrian Carpenter, John Pickard, Guy Williams, David Menon

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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions and modified classifiers to enhance ECG classification. …”
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Fault diagnosis of nonlinear analog circuits using generalized frequency response function and LSSVM. by Jialiang Zhang, Yaowang Yang

“…A fault diagnosis method of nonlinear analog circuits is proposed that combines the generalized frequency response function (GFRF) and the simplified least squares support vector machine (LSSVM). …”
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circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data by Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jiří Kléma

“…To address this issue, we propose an extended algorithm named circGPAcorr, which uses expression data to weight the interactions, resulting in more precise functional annotation. …”
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Proving Properties of Discrete-Valued Functions Using Deductive Proof: Application to the Square Root by Vassil Todorov, Safouan Taha, Frederic Boulanger, Armando Hernandez

“…It can give a higher level of confidence in proving critical safety properties and even avoid unit testing.In this paper, we chose a production use case: a function calculating a square root by linear interpolation. …”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…Abstract Premise Functional plant ecology seeks to understand how functional traits govern species distributions, community assembly, and ecosystem functions. …”
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NETWORK FUNCTION VIRTUALIZATION FOR UNDERWATER ACOUSTIC WIRELESS COMMUNICATION USING STOCHASTIC NETWORK CALCULUS by T. C. Subash Ponraj, Rajeev Sukumaran

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Investigation of Ultrasonic Flowmeter Error in Distorted Flow Using Two-peak Salami Functions by Fedir Matiko, Vitalii Roman, Halyna Matiko, Dmytro Yalinskyi

“…Four two-peak Salami functions of velocity are used to calculate the velocity profile of the distorted flow caused by typical local resistances. …”
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Interobserver variability in the preoperative assessment of future liver remnant function using hepatobiliary scintigraphy by Kirsten de Vries, Jelmer E. Oor, Suomi M. G. Fouraschen, Marieke T. de Boer, Maarten W. Nijkamp, Erik Groot Jebbink, Gilles N. Stormezand, Simeon J. S. Ruiter

“…The risk of PHLF can be estimated pre-resection by assessing the function of the future liver remnant (FLR) using hepatobiliary scintigraphy (HBS). …”
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Conversion of stereo recording to 5.1 format using head-related transfer functions by Paweł HEN, Maurycy J. KIN, Przemysław PLASKOTA

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Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling by Ramy Ghareeb, Rikan AL khalidi

“…The purpose of this research is to estimate the cumulative distribution function  using the local polynomial regression  and compare it to parameter estimation using the method of moments and the maximum likelihood method to calculate both the mean square error and the bias using the ranked sets sample  and the median ranked sets sample . …”
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Towards an understanding of the interaction of 4d elements in nickel using density functional theory by Martin Bäker

“…In this paper, the interaction energy of 4 d elements (Y… Cd) in a nickel matrix is calculated using density functional theory. Interactions from the first to fourth nearest-neighbour positions are considered, with a focus on first and second nearest neighbours. …”
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Refuge used by prey as a function of predator numbers in a Leslie-type model by Paulo Tintinago-Ruiz, Alejandro Rojas-Palma, Eduardo González-Olivares

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Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM by Jun Tang, Jie Chen, Miaojun Hu, Yao Hu, Zixi Zhang, Liuming Xiao

“…The model captures the spatial features in fMRI data by GNN and aggregates the temporal information of dynamic functional connectivity using LSTM to generate a more comprehensive spatio-temporal feature representation of fMRI data. …”
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Acupuncture treatment for functional gastrointestinal disorders: Identification of major acupoints using network analysis by Heeyoung Moon, Yeonhee Ryu, In-Seon Lee, Younbyoung Chae

“…Background: Using network analysis, we sought to determine the acupoints most commonly used to treat functional gastrointestinal disorders (FGIDs), particularly functional dyspepsia (FD) and irritable bowel syndrome (IBS). …”
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Predicting executive functioning from walking features in Parkinson’s disease using machine learning by Artur Piet, Johanna Geritz, Pascal Garcia, Mona Irsfeld, Frédéric Li, Xinyu Huang, Muhammad Tausif Irshad, Julius Welzel, Clint Hansen, Walter Maetzler, Marcin Grzegorzek, Nico Bunzeck

“…Therefore, we examined the relationship between walking features and executive functioning in patients with Parkinson’s disease using state-of-the-art machine learning approaches. …”
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Optimizing Resource Fragmentation in Virtual Network Function Placement Using Deep Reinforcement Learning by Ramy Mohamed, Marios Avgeris, Aris Leivadeas, Ioannis Lambadaris

“…In the 6G wireless era, the strategical deployment of Virtual Network Functions (VNFs) within a network infrastructure that optimizes resource utilization while fulfilling performance criteria is critical for successfully implementing the Network Function Virtualization (NFV) paradigm across the Edge-to-Cloud continuum. …”
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Modifying Explicit Finite Difference Method by Using Radial Basis Function Neural Network by Omar Kasim

“…In this research, we use artificial neural networks, specifically radial basis function neural network (RBFNN) to improve the performance and work of the explicit finite differences method (EFDM), where it was compared, the modified method with an explicit finite differences method through solving the Murray equation and showing by comparing results with the exact solution that the improved method by using  (RBFNN) is the best and most accurate by giving less error rate through root mean square error (RMSE) from the classical method (EFDM).…”
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