Input–output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data by William W Chen, Birgit Schoeberl, Paul J Jasper, Mario Niepel, Ulrik B Nielsen, Douglas A Lauffenburger, Peter K Sorger

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Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers by Kunpeng Cui, Jianbo Huang, Guowei Dai, Jingchao Fan, Christine Dewi

“…EDA–ViT overcomes these by using a multi-scale weighted feature aggregation and a feature interaction module, enhancing both local and global feature extraction. The adaptive data augmentation method refines the training process, boosting accuracy and robustness. …”
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Parameter sensitivity and data uncertainty assessment of the cradle-to-gate environmental impact of state-of-the-art passive daytime radiative cooling materials by N. Adams, K. Allacker

“…The study investigates three key sources of input uncertainty: (1) parameter sensitivity, analyzing variations in production processes; (2) Monte Carlo analysis, assessing uncertainty within Ecoinvent datasets used for RC material modeling; and (3) pedigree matrix evaluation, incorporating an additional layer of uncertainty where data are incomplete. …”
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A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges by Chenglong Cao, Jiangjiang Zhang, Wei Gan, Tongchao Nan, Chunhui Lu

“…Conversely, in certain scenarios, ESK displays noticeable biases in the characterization results, especially when measurement data from non‐linear and discontinuous processes are used. …”
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CLINICAL AND DIAGNOSTIC VALUE OF YKL-40 AND NGAL IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE by Valeriy Kuznetsov, Yana Kozlova, Alexey Sobolev, Ekaterina Frolova, Alexandra Uchevatkina, Olga Secretareva, Natalya Vasilieva

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Developing a predictive model for blood-brain-barrier permeability to explore relevance of in vitro neurotoxicity data for in vivo risk assessment by Siena E. Illa, Yumei Feng Earley, Yumei Feng Earley, Li Li, Dingsheng Li

“…Incorporating factors like internal exposure, such as permeability across biomembranes, could improve its relevance. …”
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How participation in deliberative engagement affects awareness of, and attitudes towards, genomics research and data sharing: evidence from rural Ghana by Irene Honam Tsey, Pamela Emefa Selormey, John Ganle, Patricia Akweongo, Paulina Tindana

“…However, its use is limited, particularly in resource-constrained settings like Ghana. This study examines the influence of deliberative engagement on participants’ awareness of genomic research and attitudes towards data sharing. …”
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Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets by Muhammad Zeeshan, Qaiser Riaz, Muhammad Ahmad Bilal, Muhammad K. Shahzad, Hajira Jabeen, Syed Ali Haider, Azizur Rahim

“…In a nutshell, IoT is the integration of devices and data such that processes are automated and centralized to a certain extent. …”
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Study of the influence of various physiologically active substances on changes in the lipid composition and phospholipase activity of damaged somatic nerves by Revin, Viktor V., Parchaykina, Marina V., Chudaikina, Elena V., Revina, Elvira S., Molchanov, Ivan D., Simakova, Milena A., Zavarykina, Anastasia Vyacheslavovna, Grunyushkin, Igor P., Devyatkin, Arkadiy А.

“…The introduction of potassium hyaluronate and insulin-like growth factor-1 enhances the recovery processes in the injured nerve conductor, however, the mechanisms of their action remain diff erent. …”
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Integrating Bulk RNA and Single-Cell Sequencing Data Reveals Genes Related to Energy Metabolism and Efferocytosis in Lumbar Disc Herniation by Lianjun Yang, Jinxiang Li, Zhifei Cui, Lihua Huang, Tao Chen, Xiang Liu, Hai Lu

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Cyborg Adolescents and Digital Data: Examining Education and Revenue Generation in the Digital Lives of Youth through More-than-Human Ethnography by Davood Zahrani, Ali Hashemianfar, Ahmad Mehrshad

“…Anderson (2010) argues that the interactions among actors occur in a cyclical process of action. Much of this knowledge is acquired unintentionally through digital data, contributing to both basic everyday understanding and more complex explorations. …”
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MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images by Angel Luis Perales Gomez, Juan Jesus Losada del Olmo, Pedro E. Lopez-de-Teruel, Alberto Ruiz, Felix J. Garcia Clemente, Andres Conesa Bueno

“…However, most architectures only consider data from one source, ignoring valuable information from other sources like images. …”
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Polyunsaturated fatty-acids diet increases fear discrimination in rats and IGF-2 receptors signaling in the auditory cortex by Giulia Concina, Eugenio Manassero, Felice Cicciarelli, Annamaria Renna, Luisella Milano, Federica Scarpina, Alessandro Mauro, Benedetto Sacchetti

“…However, no differences in anxiety-like behavior, auditory fear memory, or responses to painful stimuli were observed among the three groups. …”
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Independent validation and outlier analysis of EuroPOND Alzheimer’s disease staging model using ADNI and real-world clinical data by Mandy M. J. Wittens, Diana M. Sima, Arne Brys, Hanne Struyfs, Ellis Niemantsverdriet, Ellen De Roeck, Christine Bastin, Florence Benoit, Bruno Bergmans, Jean-Christophe Bier, Peter Paul de Deyn, Olivier Deryck, Bernard Hanseeuw, Adrian Ivanoiu, Gaëtane Picard, Eric Salmon, Kurt Segers, Anne Sieben, Evert Thiery, Jos Tournoy, Anne-Marie van Binst, Jan Versijpt, Dirk Smeets, Maria Bjerke, Maura Bellio, Neil P. Oxtoby, Daniel C. Alexander, Annemie Ribbens, Sebastiaan Engelborghs

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Asteroseismology with PBjam 2.0: Measuring Dipole Mode Frequencies in Coupling Regimes from Main-sequence to Low-luminosity Red Giant Stars by M. B. Nielsen, J. M. J. Ong, E. J. Hatt, G. R. Davies, W. J. Chaplin, G. T. Hookway, A. Stokholm, O. J. Scutt, M. N. Lund, R. A. García

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Community-based participatory process evaluation based on the Reach, Quality Control, Fidelity, Satisfaction, and Management (RQFSM) model in Nevada: A study protocol by Asma Awan, Manoj Sharma

“…A mixed-methods approach will be implemented to collect data from 25 partner organizations. For assessing the reach, quantitative and qualitative quarterly data collection reporting forms and focus group discussion (FGD) protocols will be designed; for quality control, fidelity, and management, semi-structured interviews and FGDs of project personnel and community members and process observation tally sheets will be generated, and for consumer satisfaction assessment, quantitative satisfaction surveys will be created in a participatory manner with all stakeholders. …”
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A modernized approach to sentiment analysis of product reviews using BiGRU and RNN based LSTM deep learning models by L. Godlin Atlas, Daniel Arockiam, Arvindhan Muthusamy, Balamurugan Balusamy, Shitharth Selvarajan, Taher Al-Shehari, Nasser A. Alsadhan

“…The input reviews are preprocessed using natural language processing techniques like tokenization, lemmatization, stop word removal, named entity recognition and part of speech tagging. …”
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Mathematical Modeling of High-Energy Shaker Mill Process with Lumped Parameter Approach for One-Dimensional Oscillatory Ball Motion with Collisional Heat Generation by Kwon Joong Son

“…This study presents an advanced mathematical model for the high-energy shaker mill process, incorporating thermal interactions among the milling ball, shaker mill vial, and the air contained within. …”
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Enhanced twitter sentiment analysis with dual joint classifier integrating RoBERTa and BERT architectures by Luoyao He

“…Sentiment analysis, a crucial aspect of Natural Language Processing (NLP), aims to extract subjective information from textual data. …”
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Breaking Down Walls: A Literature Review on the Power of Artificial Intelligence in Enhancing Universal Language Connection by Sheida Jamalnia, Zahra Karimian

“…The search focused on peer-reviewed articles published in English from January 2020 to June 2024, using keywords like ‘artificial intelligence,’ ‘communication,’ ‘natural language processing,’ and ‘machine translation.’ …”
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