Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods by Chu Zhang, Chang Wang, Fei Liu, Yong He

“…These methods were classified as highly effective methods (soft independent modelling of class analogy, support vector machine, back propagation neural network, radial basis function neural network, extreme learning machine, and relevance vector machine), methods of medium effectiveness (partial least squares-discrimination analysis, K nearest neighbors, and random forest), and methods of low effectiveness (Naive Bayes classifier) according to the classification accuracy for coffee variety identification.…”
Get full text

Whole-cell multi-target single-molecule super-resolution imaging in 3D with microfluidics and a single-objective tilted light sheet by Nahima Saliba, Gabriella Gagliano, Anna-Karin Gustavsson

“…We combine these innovations with point spread function engineering for nanoscale localization of individual molecules in 3D, deep learning for analysis of overlapping emitters, active 3D stabilization for drift correction and long-term imaging, and Exchange-PAINT for sequential multi-target imaging without chromatic offsets. …”
Get full text

The Involvement of Neuron-Specific Factors in Dendritic Spinogenesis: Molecular Regulation and Association with Neurological Disorders by Hsiao-Tang Hu, Pu-Yun Shih, Yu-Tzu Shih, Yi-Ping Hsueh

“…Dendritic spines are the location of excitatory synapses in the mammalian nervous system and are neuron-specific subcellular structures essential for neural circuitry and function. Dendritic spine morphology is determined by the F-actin cytoskeleton. …”
Get full text

The BERT Uncased and LSTM Multiclass Classification Model for Traffic Violation Text Classification by Komang Ayu Triana Indah, I Ketut Gede Darma Putra, I Made Sudarma, Rukmi Sari Hartati, Minho Jo

“…The increasing amount of internet content makes it difficult for users to find information using the search function. This problem is overcome by classifying news based on its context to avoid material that has many interpretations. …”
Get full text

Coal and gas outburst prediction based on data augmentation and neuroevolution. by Wenbing Shi, Ji Huang, Gaoming Yang, Shuzhi Su, Shexiang Jiang

“…First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …”
Get full text

Mother-tongue education, linguistic variation and language processing by Mercedes Marcilese, Cristina Name, Marina Augusto, Daniele Molina, Raiane Armando

“… This paperexploresan intersection betweenthree main topics: (i) sociolinguistic variation, (ii) variation acquisition and processingaccording toa psycholinguistic approachand (iii) mother-tongue teaching/learning when the two previous factors are taken into account. …”
Get full text

Enhanced Light-Gradient Boosting Machine (GBM)-Based Artificial Intelligence-Blockchain-Based Telesurgery in Sixth Generation Communication Using Optimization Concept by Punitha S., Preetha K. S.

“…Here, the parameter tuning in light GBM is performed using the Tasmanian Devil Optimization (TDO) with the consideration of attaining the fitness function and thus referred to as Enhanced Light GBM. …”
Get full text

A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence by Nhat-Duc Hoang, Anh-Duc Pham, Minh-Tu Cao

“…The proposed model utilizes the least squares support vector regression (LS-SVR) as a supervised learning technique to generalize the mapping function between input and output of time series data. …”
Get full text

Reusable and robust fuzzy extractor for CRS-dependent sources by Yucheng Ma, Peisong Shen, Xue Tian, Kewei Lv, Chi Chen

“…We also present some instantiations of these primitives from Learning with Parity Noise (LPN) assumption and Short Integer Solution (SIS) assumption. …”
Get full text

Le développement de l’enseignement clinique à Paris et la création de l’école clinique interne de l’hôpital de la Charité by Pierre-Louis Laget

“…Medical education directly delivered at the bedside, i.e. clinical lessons, was one of the great eighteenth-century educational innovations affecting medical learning. The initiative to establish such training is generally attributed to the Dutch physician Herman Boerhaave, who conceived the institution upon his appointment as professor at the University of Leiden, in 1714. …”
Get full text

Speech Enhancement Based on Discrete Wavelet Packet Transform and Itakura-Saito Nonnegative Matrix Factorisation by Houguang LIU, Wenbo WANG, Lin XUE, Jianhua YANG, Zhihua WANG, Chunli HUA

“…Nonnegative matrix factorization (NMF) is one of the most popular machine learning tools for speech enhancement (SE). However, there are two problems reducing the performance of the traditional NMFbased SE algorithms. …”
Get full text

Listening to the Mind: Integrating Vocal Biomarkers into Digital Health by Irene Rodrigo, Jon Andoni Duñabeitia

“…Given its potential to engage multiple neural networks, singing could function as an assessment tool and an intervention strategy for individuals with cognitive decline. …”
Get full text

A thorough review of energy management and an advanced control techniques for Bi-directional DC-DC converters in electric vehicle applications by Azza Keerthi, C Dhanamjayulu

“…This review analyses prominent control strategies employed for these converters, including Sliding Mode Control (SMC), Model Predictive Control (MPC), and Predictive Function Control (PFC), considering their respective merits and drawbacks under diverse operating conditions. …”
Get full text

Electronic Information Signal Recognition Based on a Stochastic Neural Network Algorithm by Jiaye Wang

“…This paper uses the method of duty cycle, average amplitude difference function, and FFT to calculate the energy duty cycle for feature extraction and uses TSVD-SCN algorithm to classify and recognize different intrusion vibration feature vectors. …”
Get full text

THE DEVELOPMENT OF D.N. UZNADZE’S THEORY OF SET IN THE WORKS OF HIS CONTEMPORARIES, PUPILS, AND FOLLOWERS by Levan Odishariya, Oxana A. Bayer

“…Natadze who investigated the determining function of imagination through a set action in bevavior; I. …”
Get full text

The Case of Cities: Skylines Versions—Affordances in Urban Planning Education by Laura Cañete Sanz, Sjors Martens, Teresa de la Hera

“…Given the differences between existing games and their capabilities, the exact function of these games in an urban planning curriculum is unclear. …”
Get full text

Echo State Property upon Noisy Driving Input by Junhyuk Woo, Hyeongmo Kim, Soon Ho Kim, Kyungreem Han

“…The standard ESN with a hyperbolic tangent activation function is tested using the MNIST handwritten digit datasets at different additive white Gaussian noise levels. …”
Get full text

Atom-Constrained Gridless DOA Refinement With Wirtinger Gradients by Yongsung Park, Peter Gerstoft, Christoph F. Mecklenbrauker

“…This paper proposes gridless sparse direction-of-arrival (DOA) refinement using gradient-based optimization. The objective function minimizes the fit between the sample covariance matrix (SCM) and a reconstructed covariance matrix. …”
Get full text

A Strawberry Ripeness Detection Method Based on Improved YOLOv8 by Yawei Yue, Shengbo Xu, Huanhuan Wu

“…Finally, the Wise-IoU (Wise Intersection over Union) loss function optimized the IoU (Intersection over Union) through intelligent weighting and adaptive tuning, enhancing the bounding box accuracy. …”
Get full text

ANALISIS WACANA KRITIS TEUN VAN DIJK DALAM CERITA RAKYAT TELUK PAKEDAI ASAL-MUASAL KEROAK BANGKAI by Muhammad Rafi'i, Patriantoro, Gunawan

“…The social context of the story reflects the belief system and cultural values of the local people who value traditions, myths, and the educational function of folklore. The overall analysis shows that folklore is not only a form of entertainment, but also a means of learning and in society. …”
Get full text