Conformational changes in the motor ATPase CpaF facilitate a rotary mechanism of Tad pilus assembly by Ian Y. Yen, Gregory B. Whitfield, John L. Rubinstein, Lori L. Burrows, Yves V. Brun, P. Lynne Howell

Get full text

FORMES NOMINALES D’ADRESSE EN FRANÇAIS : CARTOGRAPHIE DES FONCTIONS PRAGMATIQUES DANS LES INTERACTIONS DIDACTIQUES EN CONTEXTE CAMEROUNAIS by Joseph Avodo Avodo

“…In fact, nominal forms of address assume strategic functions in sociolinguistic practices in a learning context. …”
Get full text

Her IMPROVE TEACHERS' INNOVATIVE DIGITAL SKILLS ACROSS EUROPE by Ana Afonso, Isabel Cristina Carvalho, José Bidarra, Lina Morgado, Antonieta Rocha

“…This data informed a pilot program with 80 Vocational Education and Training and Higher Education teachers to test the functionality of the digital Toolkit, the e-learning platform, design, quality, and impact of the content. …”
Get full text

The Effects of Acute Physical Exercise on Memory, Peripheral BDNF, and Cortisol in Young Adults by Kirsten Hötting, Nadine Schickert, Jochen Kaiser, Brigitte Röder, Maren Schmidt-Kassow

“…In animals, physical activity has been shown to induce functional and structural changes especially in the hippocampus and to improve memory, probably by upregulating the release of neurotrophic factors. …”
Get full text

Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

“…The model architecture is based on the Kolmogorov–Arnold theorem principle and uses trainable univariate functions to enhance interpretability and feature analysis. …”
Get full text

Dextrosinistral reading of SMILES notation: Investigation into origin of non-sense code from string manipulations by Anup Paul

“…The outcome of the present study highlighted the diversity and flexibility of SMILES notation, and may provide a new source of data required for developing the cheminformatics functionalities necessary to advance machine learning-based chemical discovery.…”
Get full text

A model of the professional field as the basis for an adaptive educational process by I. I. Shpak, S. N. Kasanin

“…The main purpose of the work is to study the advantages of an activity-based approach, or functional approach in comparison with a subject-based approach, or lecture-based approach for creating a model of a professional field for adaptive educational process. …”
Get full text

A hierarchical typology of multimodal scientific writing in early primary grades by Deborah L. Nichols, Ted Neal, Brian Hand

“…Rather than requiring explicit instruction, just-in-time scaffolds may help children make strategic representational choices, reinforcing the role of multimodal composition in early science learning.…”
Get full text

Development of a Biology Virtual Laboratory (V-Lab) for Microscopic Observations about Onion Cells and Cassava Plant Cells by Laili Rahmi, Nidia Zuhara

“…The limitations of microscope units in the laboratory is no longer a problem to realizing effective learning.…”
Get full text

ENHANCING 〖PM〗_(2.5) PREDICTION IN KEMAYORAN DISTRICT, DKI JAKARTA USING DEEP BILSTM METHOD by Nabila Karin, Gumgum Darmawan, Triyani Hendrawati

“…The optimal parameters, which comprised 24 timesteps, Adam optimizers with a learning rate of 0.001, 16 batch sizes, 1000 epochs, and ReLU activation functions across multiple BiLSTM layers, showcased the model’s effectiveness in forecasting the concentration in Kemayoran District, DKI Jakarta, on November , 2023.…”
Get full text

An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

“…Currently, more and more intrusion detection systems based on machine learning and deep learning are being applied to SDN, but most have drawbacks such as complex models and low detection accuracy. …”
Get full text

Didactic potential of using systems for visualization of algorithms in the process of teaching programming by V. D. Moglan

“…The article discusses the functional requirements for the visualizer of algorithms, describes its main elements and guidelines for the use of visualizers of algorithms in the educational process. …”
Get full text

Concept-based instruction: Improving learner performance in mathematics through conceptual understanding by Mildret Ncube, Kakoma Luneta

“…The study examined the impact of concept-based instruction on the teaching and learning of mathematics. Functions is the topic that was implemented in order to identify the improvements in learners’ understanding. …”
Get full text

Filtering cells with high mitochondrial content depletes viable metabolically altered malignant cell populations in cancer single-cell studies by Josephine Yates, Agnieszka Kraft, Valentina Boeva

Get full text

Τhe Turkish Nominal Syntagmatic Sets 'Ad tamlaması': A Linguistic Approach in Turkish Second Language Acquisition and Teaching by Vasiliki Mavridou

“…We will show that in the L2 learning process of the 3 NSS-AT forms, we expect a learning step ahead in the analytic N-(n)In N-(s)I(n) form compared to non-analytic compounds such as the N N-(s)I(n) form and more blurred cases such as the N N-(y) form, which shares properties of both Noun Phrases (NPs) and compounds. …”
Get full text

Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

“…PPO’s reinforcement learning framework is employed to manage state representations, action spaces, and reward functions, thereby continuously refining the trading policy. …”
Get full text

Update on Robotic Laparoscopic Radical Prostatectomy by Garrett S. Matsunaga, Thomas E. Ahlering, Douglas W. Skarecky

“…The da Vinci surgical robot has been shown to help shorten the learning curve for laparoscopic radical prostatectomy (LRP) for both laparoscopically skilled and na surgeons[1,2]. …”
Get full text

Ultrasonic Nondestructive Testing Image Enhancement Model Based on Super-Resolution Imaging by Jinxuan Zhu, Guoyou Wang, Kang Luo, Xinfang Zhang

“…Therefore, this paper proposes an ultrasonic super-resolution model based on up- and down-sampling layers and multi-layer residual networks combined with Charbonnier loss function. The degradation features of the image are learned through up- and down-sampling layers, and the intrinsic features of the image are learned through multi-layer residual networks, so that all the feature information of the image is fully learned. …”
Get full text

Gammes de mémoire by Dominique Viart

“…The Memory is not this simple and unique function that the definite article improperly determines. …”
Get full text

Microarray-Based Cancer Diagnosis with Artificial Neural Networks by Markus Ringnér, Carsten Peterson

“…The main applications of these analysis methods range from assigning functional classes of previously uncharacterized genes to classification and prediction of different cancer tissues. …”
Get full text