Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

“…<b>Methods:</b> This study presents a deep learning-based framework for predicting PPIs between human and gut bacterial proteins using structural data. The framework leverages graph-based protein representations and variational autoencoders (VAEs) to extract structural embeddings from protein graphs, which are then fused through a Bi-directional Cross-Attention module to predict interactions. …”
Get full text

The Moderation Role of the Audit Committee Quality on the Effect of the Ownership Structure on Intellectual Capital Disclosures by Desi Alifia, Muhammad Khafid

“…Samples are selected using purposive sampling method, and obtained 165 units as observations. Data was collected by documentation, and the analysis data is  moderated regression analysis. …”
Get full text

Lamb wave ultrasonic testing technology for diagnosis and prediction of hidden cracks in metal structures by Dawen Yao, Peiwen Meng, Shuqi Li, Jinggang Xu

“…Abstract In the field of traditional hidden crack detection in metal structures, detection technologies are often limited by low sensitivity and imprecise data analysis. …”
Get full text

Trends in changing the structure of anesthesia at the advanced stages of medical care in modern armed conflict by A. E. Tsygankov, M. E. Semenov, V. E. Petrov, E. А. Usoltsev, S. V. Sidelkin, E. N. Ershov

“…A retrospective analysis of the medical data of anesthesia was performed. The data on the structure of anesthesia in military medical organizations of 1–3 levels in the zone of a special military operation for the period from 01.2023 to 07.2024 were analyzed.Results. …”
Get full text

Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…Traditional approaches often require full 3D structural data, which is unavailable for most proteins. …”
Get full text

The influence of non-native invertebrate species in the food web structure of two Neotropical reservoirs by Daniel Melo Rosa, Angelo Barbosa Monteiro, Lucas Del Bianco Faria, Paulo Santos Pompeu

“…In addition, we performed a structural analysis of trophic interaction networks. …”
Get full text

Unifying optimization forces: Harnessing the fine-structure constant in an electromagnetic-gravity optimization framework by Akhtar Md. Amir Khusru, Kumar Mohit, Verma Sahil, Cengiz Korhan, Verma Pawan Kumar, Khurma Ruba Abu, Alazab Moutaz

“…The electromagnetic-gravity optimization (EMGO) framework is a novel optimization technique that integrates the fine-structure constant and leverages electromagnetism and gravity principles to achieve efficient and robust optimization solutions. …”
Get full text

Evaluation of hydrodynamic flows of cellular fluid in artificially formed continuums of plant material structure by M. D. Sosnin, I. A. Shorstky

“…The aim of the research is to evaluate hydrodynamic flows of cellular fluid in artificially formed channels of the structure of plant materials as a result of exposure to atmospheric spark discharge. …”
Get full text

Trajectory Planning for Autonomous Cars in Low-Structured and Unstructured Environments: A Systematic Review by Cristiano Souza de Oliveira, Rafael De S. Toledo, Vitor H. Tulux Oliveira Victorio, Aldo von Wangenheim

“…Moreover, we summarize the most adopted visual input sensors, their associated data structures that are used as search spaces for local planning, and sensor fusion techniques, which complement the advantages of different types of sensors. …”
Get full text

Structure-based modeling of artificial leather used in sports with non-symmetric fiber distribution by Tonghuan QU, Akihiro MATSUDA

“…As specific examples, the distribution and material parameters of the model were identified by fitting fiber distribution data and tensile data, respectively, of artificial leather to the model’s theoretical results. …”
Get full text

Family Structure as a Result of Marital, Reproductive, and Self-Preservation Behavior of the Population in Russia by Alexander B. Sinelnikov

“…This article analyzes data from the All-Russian population censuses of 2002, 2010, and 2020. …”
Get full text

Modeling Asymmetric Shift in the Threshold Voltage of MOS Structures under Thermal Field Treatment by O. V. Aleksandrov, N. N. Morozov

“…The conducted comparison of the data calculated by the developed model and the experimental data reported in literature for the time dependencies of the threshold voltage shift of MOS structures with positive and subsequent negative gate bias determined the range of binding energies, the characteristic dispersion energy, the concentrations of impurity ions and traps near the gate and the silicon substrate, and the width of the region of their localization. …”
Get full text

Substantiation of additional diagnostic methods for mental and cognitive disorders in the structure of childhood absence epilepsy by V. A. Karlov, A. A. Dubrovskaya

Get full text

The structure of the Tad pilus alignment complex reveals a periplasmic conduit for pilus extension by Sasha L. Evans, Iryna Peretiazhko, Sahil Y. Karnani, Lindsey S. Marmont, James H. R. Wheeler, Boo Shan Tseng, William M. Durham, John C. Whitney, Julien R. C. Bergeron

“…Our experimental data and structure-based model allow us to propose a mechanism for Tad plus assembly.…”
Get full text

Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action by Herbert Jodlbauer, Manuel Brunner, Nadine Bachmann, Shailesh Tripathi, Matthias Thürer

Get full text

A method to retrieve mixed-phase cloud vertical structure from airborne lidar by E. Crosbie, E. Crosbie, J. W. Hair, A. R. Nehrir, R. A. Ferrare, C. Hostetler, T. Shingler, D. Harper, M. Fenn, M. Fenn, J. Collins, J. Collins, R. Barton-Grimley, B. Collister, K. L. Thornhill, K. L. Thornhill, C. Voigt, C. Voigt, S. Kirschler, S. Kirschler, A. Sorooshian, A. Sorooshian

Get full text

Uncovering multiscale structure-property correlations via active learning in scanning tunneling microscopy by Ganesh Narasimha, Dejia Kong, Paras Regmi, Rongying Jin, Zheng Gai, Rama Vasudevan, Maxim Ziatdinov

“…Abstract Atomic arrangements and local sub-structures fundamentally influence emergent material functionalities. …”
Get full text

DECONSTRUCTING NARRATIVE STRUCTURE: A LINGUISTIC FRAMEWORK FOR CT-BASED SHORT STORY WRITING by Fransiska Marta Sari, Mudhar, Riyati, Sri Utami

“… This research addresses the persistent difficulties students face in developing story ideas, creating interesting plots, describing characters and settings, and composing well-structured sentences. Consequently, these pose learning obstacles in Indonesian short story writing. …”
Get full text

Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys by Debsundar Dey, Suchandan Das, Anik Pal, Santanu Dey, Chandan Kumar Raul, Pritam Mandal, Arghya Chatterjee, Soumya Chatterjee, Manojit Ghosh

“…Within the dataset, 705 data were utilized to predict the crystal structures with the help of thermodynamics and electronic configuration as input features. …”
Get full text

Protein-ligand binding affinity prediction using multi-instance learning with docking structures by Hyojin Kim, Heesung Shim, Aditya Ranganath, Stewart He, Garrett Stevenson, Jonathan E. Allen

“…Despite recent advances and improved predictive performance, most methods in this category primarily rely on utilizing co-crystal complex structures and experimentally measured binding affinities as both input and output data for model training. …”
Get full text