Effectiveness of the sterile insect technique in controlling Aedes albopictus as part of an integrated control measure: evidence from a first small-scale field trial in Switzerland by Diego Parrondo Monton, Damiana Ravasi, Valentina Campana, Francesco Pace, Arianna Puggioli, Matteo Tanadini, Eleonora Flacio

“…To improve cost-effectiveness, further optimization of male production, sterilization, transport, and release processes is needed. Continued implementation over multiple seasons is recommended to enhance long-term effectiveness. …”
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Application of PSO-Optimized Twin Support Vector Machine in Medium and Long-Term Load Forecasting under the Background of New Normal Economy by Xiang He, Yan Chen, Kai Hu, Lin Wan

“…Moreover, this paper uses the algorithm to debug the filter and studies the accurate prediction of the fine model by the progressive spatial mapping algorithm and the processing of the data by the vector fitting algorithm. …”
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The rule for the number of fundamental Peregrine solitons involving multiple rogue wave states in the vector Chen-Lee-Liu nonlinear Schrödinger equation by Changchang Pan, Gangzhou Wu, Rui Bao, Boyun Shao, Huicong Zhang

“…This study investigates the physical distribution patterns of Peregrine solitons within multi-order rogue wave states and their potential applications in optical systems under the vector Chen-Lee-Liu nonlinear Schrödinger equation framework. …”
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The impact of multiple representations on students' understanding of vector field concepts: Implementation of simulations and sketching activities into lecture-based recitations in... by Larissa Hahn, Pascal Klein

“…Group comparisons revealed that students in the intervention group scored significantly higher on a vector field performance test after the intervention (p = 0.04, d = 0.40) while perceiving higher cognitive load during task processing (extraneous p < 0.001, d = 0.75; intrinsic p = 0.02, d = 0.47; germane p = 0.02, d = 0.48). …”
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Improved decomposition strategy based recurrent ensemble deep random vector functional link network for forecasting short-term electricity price by Ranjeeta Bisoi, P.K. Dash, Someswari Perla

“…Further to handle temporal dependencies in the input sequence of the electricity price time series data a locally recurrent ensemble random vector functional link network (REDRVFLN) with stacked layers is used for processing the IMFs (features) as input sequence. …”
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Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine by Ragil Hadi Prasetyo, Edita Rosana Widasari, Agung Setia Budi

“…Then the signal read by the sensor is processed in the Arduino Uno and is classified and displays the result on a 16x2 LCD as an output. …”
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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…The power law observed in practice for the dependence of the stationary probability density of news distribution by the number of comments can be obtained from solving the stationary Fokker–Planck equation, while the non-stationary equation can be used to describe processes in complex network structures. The vector representation can be used to describe the comment network states of news media users. …”
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Tick-borne encephalitis: from tick surveillance to the first confirmed human cases, the United Kingdom, 2015 to 2023 by the TBE working group

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A deep insight into the sialome of the house fly, Musca domestica, infected with the salivary gland hypertrophy virus (MdSGHV) by Stephen Lu, Noa Miller, Adrian Wilson, Christopher J. Geden, John G. Stoffolano, Jose M. C. Ribeiro

“…Abstract The house fly, Musca domestica, serves as a mechanical vector for numerous pathogens, posing a significant risk to human and animal health. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

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From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The <i>sleepCare</i> Platform by Christos A. Frantzidis

“…The proposed framework employs natural language processing (NLP) and machine learning techniques to support remote applications and real-time patient monitoring, offering a scalable solution for the early identification of sleep disturbances. …”
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Multi-factor person entity relation extraction model based on distant supervision by Yangchen HUANG, Yan JIA, Liang GAN, Jing XU, Jiuming HUANG, Zhonghe HE

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Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks by Maliheh Miri, Vahid Abootalebi, Hamid Saeedi-Sourck, Dimitri Van De Ville, Hamid Behjat

“…Background: Accurate classification of electroencephalogram (EEG) signals is challenging given the nonlinear and nonstationary nature of the data as well as subject-dependent variations. Graph signal processing (GSP) has shown promising results in the analysis of brain imaging data. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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An Encoder-Only Transformer Model for Depression Detection from Social Network Data: The DEENT Approach by Robinson Narvaez Burbano, Oscar Mauricio Caicedo Rendon, Carlos. A. Astudillo

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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

“…Results: 260 features were extracted from the computer texts prepared from the speech and writing learners responses by natural language processing (NLP) algorithms. We used learning models of decision tree, nearest neighbor, support vector method, neural network and regularized linear method to predict reading comprehension using extracted linguistic features. …”
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Application of the spectral bisection algorithm for the analysis of criminal communities in social networks by K. M. Bondar, V. S. Dunin, P. B. Skripko, N. S. Khokhlov

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Time Frequency Analysis Based Fault Detection in PV Array Using Scaling Basis Chirplet Transform by S Ramana Kumar Joga, Chidurala SaiPrakash, Srikanth Velpula, Alivarani Mohapatra, Theophilus A. T. Kambo Jr.

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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…The model employs a hybrid masking approach and RoBERTa (Robustly Optimized BERT Approach) to facilitate feature enhancement and word vector processing of text. Moreover, the model employs a convolutional neural network (CNN) and a multi-headed attention (MHA) mechanism to extract text features from multiple channels, effectively capturing both local and global features. …”
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Simultaneous Suppression of Even-Order and Third-Order Distortions in Directly Modulated Analog Photonic Links by Yao Ye, Lei Deng, Shichao Chen, Mengfan Cheng, Ming Tang, Songnian Fu, Minming Zhang, Di Zhang, Benxiong Huang, Deming Liu

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