Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…Indeed,  due  to  the  complex architectural  features  and  the  still  ongoing  fieldwork  activities,  Segesta  represents  an  ideal  context  where  to  test  and develop a research approach integrating both traditional and more innovative tools and methods.…”
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Research on Spatial Distribution, Accessibility and Resource Equity of Compulsory Education Schools in Megacities: A Case Study of Wuhan by Wei Ping, Huang Jing, Yan Jiaqin, He Sanwei

“…This study uses Wuhan, a central Chinese megacity, as a case. Integrating Point of Interest data of primary and secondary schools, educational resources, road network information, this study uses GIS methodologies, such as the nearest neighbor index, coefficient of variation, kernel density analysis, service area network analysis, and an improved 2SFCA method to evaluate the spatial distribution characteristics of compulsory education resources in Wuhan and the accessibility and resource distribution equilibrium across districts. …”
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Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities. by Marzia Antonella Scelsi, Valerio Napolioni, Michael D Greicius, Andre Altmann, Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the Alzheimer’s Disease Sequencing Project (ADSP)

“…Here we present the NETwork Propagation-based Assessment of Genetic Events (NETPAGE), an integrative approach aimed at investigating the biological pathways through which rare variation results in complex disease phenotypes. …”
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Color polymorphic carnivores have faster speciation rates by Moritz M. Heuer, Klaus Fischer, Laura Tensen

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Optimizing drug design by merging generative AI with a physics-based active learning framework by Isaac Filella-Merce, Alexis Molina, Lucía Díaz, Marek Orzechowski, Yamina A. Berchiche, Yang Ming Zhu, Júlia Vilalta-Mor, Laura Malo, Ajay S. Yekkirala, Soumya Ray, Victor Guallar

“…To address these, we developed a GM workflow integrating a variational autoencoder with two nested active learning cycles. …”
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Femtosecond X-ray cross-correlation analysis of disordered crystals forming in a supercooled atomic liquid by Johannes Möller, Michele Caresana, Alexander Schottelius, Felix Lehmkühler, Ulrike Boesenberg, Frédéric Caupin, Francesco Dallari, Tiberio A. Ezquerra, José M. Fernández, Luca Gelisio, Claudia Goy, Jörg Hallmann, Anton Kalinin, Chan Kim, Ruslan P. Kurta, Dmitry Lapkin, Francesco Mambretti, Markus Scholz, Roman Shayduk, René Steinbrügge, Florian Trinter, Ivan A. Vartanyants, Alexey Zozulya, Davide E. Galli, Gerhard Grübel, Anders Madsen, Robert E. Grisenti

“…The preservation of angular information from the scattering signal allows probing the structure factor along selected directions in reciprocal space and identifying signatures undetectable in azimuthally integrated scattering curves. Therefore, more information from serial diffraction experiments on stochastic crystallization processes can be retrieved despite the inherent variation of the crystal orientation and morphology for each single probe. …”
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Surface Change and Stability Analysis in Open-Pit Mines Using UAV Photogrammetric Data and Geospatial Analysis by Abdurahman Yasin Yiğit, Halil İbrahim Şenol

“…Acquired in 2024 and 2025, high-resolution images were combined with dense point clouds produced by Structure from Motion (SfM) methods. Iterative Closest Point (ICP) registration (RMSE = 2.09 cm) and Multiscale Model-to-Model Cloud Comparison (M3C2) analysis was used to quantify the surface changes. …”
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Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing by Suchuan Xing, Yihan Wang, Wenhe Liu

“…This paper proposes a dual-channel deep learning framework that integrates Temporal Convolutional Networks with Variational Autoencoders to address these challenges. …”
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Real-time scattering in Ising field theory using matrix product states by Raghav G. Jha, Ashley Milsted, Dominik Neuenfeld, John Preskill, Pedro Vieira

“…We study scattering in Ising field theory (IFT) using matrix product states and the time-dependent variational principle. IFT is a one-parameter family of strongly coupled nonintegrable quantum field theories in 1+1 dimensions, interpolating between massive free fermion theory and Zamolodchikov's integrable massive E_{8} theory. …”
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A recursive framework of vehicle trajectory planning at mixed‐traffic signalized intersections by Menglin Yang, Hao Yu, Pan Liu

“…Besides, the recomputing of CAV trajectories will only be conducted when the variation in predictions rises to a certain threshold, balancing efficiency and computing consumption, inspired and modified based on MPC methods. …”
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Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware by Akash Kundu

“…This approach reduces the number of controlled-NOT gates by two orders of magnitude for systems $N\unicode{x2A7E}12$ compared to traditional methods like first-order Trotterization. We demonstrate the effectiveness of the RL framework in both noiseless and noisy quantum hardware environments, maintaining high accuracy in thermal state preparation. …”
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End-of-life hospitality? A preamble for supply-side notions of suicide tourism by Aaron Tham, Hayley Stainton

“…Implications: End-of-life hospitality necessitates a timely and coordinated approach to its undertaking, as there is still a significant variation of medically assisted dying globally. Having an integrated and systematic framing of the issues and stakeholders mitigates the likelihood of misuses and abuses of end-of-life experiences and enables all participants to have the necessary assurances to make informed decisions. …”
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Research and simulation of key bending parameters of suitable diameter oil and gas pipeline cleaning robots by DAI Yaonan, HE Xinhu, LIU Ke, YANG Peiyan, ZHANG Jiakang, ZHENG Xiaotao, GONG Cheng

“…ObjectiveTo improve the internal (variable diameter, bending) passage ability of oil and gas pipeline cleaning robots, a multi-segment adaptive wheel-type pipeline cleaning robot was proposed.MethodsThe robot was designed with a two-segment structural configuration to reduce its turning radius. …”
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Bayesian multistage factorial analysis for unveiling multi-indicator effects on synergistic carrying capacity of water resource, environment and ecology: A case study of Ordos by Y.Y. Wang, Y.P. Li, G.H. Huang, Z.P. Xu, Y.F. Li

“…This study develops a Bayesian multistage factorial analysis (BMFA) method through integrating Bayesian model averaging (BMA), coupling coordination model (CCM), and multistage factorial analysis (MFA) into a general framework. …”
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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…This study introduces an enhanced power load forecasting algorithm, integrating slime mould algorithm (SMA) and long short‐time memory (LSTM) to effectively address the hyperparameter challenges associated with LSTM, while also applying variational modal decomposition (VMD) to load forecasting. …”
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Research on Lateral Vibration and Load Sensitivity Reductions for Large-Scale Complex Nonconservative Systems Using Rigid-Flex Coupling Simulation Technique by Qi-bin Wang, Xing-jia Xu, Si-yang Piao, Chun-ge Nie, Qiu-ze Li, Ming-wei Piao

“…Since two uncertain influences of wheel spin dissipation are caused by wheelset yaw oscillations and alternative load path variation due to nonstatically determined systems or redundant components/constraints, preliminary achievements of self-adaptive improved design make wheel–rail matching returns to rational conditions, managing and maintaining better data integrity of high-speed wheel–rail contact. …”
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Spatio-Temporal Evolution and Susceptibility Assessment of Thaw Slumps Associated with Climate Change in the Hoh Xil Region, in the Hinterland of the Qinghai–Tibet Plateau by Xingwen Fan, Zhanju Lin, Miaomiao Yao, Yanhe Wang, Qiang Gu, Jing Luo, Xuyang Wu, Zeyong Gao

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De novo, high-quality assembly and annotation of the halophyte grass Aeluropus littoralis draft genome and identification of A20/AN1 zinc finger protein family by Walid Ben Romdhane, Rania Ben Saad, Emmanuel Guiderdoni, Ahmed Abdelrahim mohamed Ali, Mohamed Tarroum, Abdullah Al-Doss, Afif Hassairi

“…Using the k-mer analysis method, the haploid genome size of A. littoralis was estimated to be 360 Mb (with a heterozygosity rate of 1.88%). …”
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UAV Path Optimization for WSN in Smart Agriculture by Katia Karam, Ali Mansour, Mohamad Khaldi, Benoit Clement, Mohammad Ammad-Uddin

“…The achieved improvements validate the effectiveness of our method, making it a promising solution for UAV-WSN applications in smart agriculture and beyond.…”
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The adherence to the guidelines for assessing and treating Wernicke's encephalopathy in patients with alcohol withdrawal by Morgan Inwood, Fiona McGrehan, Ann Lockman

“…This audit aimed to evaluate adherence to the WE risk assessment and treatment protocol for patients admitted with alcohol withdrawal since its implementation by our health board in August 2023. Method: A retrospective case note review was conducted using the electronic patient records and electronic prescriptions (HEPMA) of all patients prescribed IV Pabrinex in the acute medical unit at the Royal Infirmary of Edinburgh between 1 December 2024 and 15 February 2025. …”
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