Artist's Statement: REBIRTH by Angelica Walton

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Resource Allocation in Communications and Computing by Yi Su, Fangwen Fu, Shuo Guo

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Housing insecurity pathways to physiological and epigenetic manifestations of health among aging adults: a conceptual model by Aarti C. Bhat, Aarti C. Bhat, Aarti C. Bhat, Andrew Fenelon, Andrew Fenelon, Andrew Fenelon, David M. Almeida, David M. Almeida, David M. Almeida

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White M. T., Read M. G., Sayma A. I. Comparison between single and cascaded organic Rankine cycle systems accounting for the effects of expansion volume ratio on expander performan... by M. A. Fedorova

“…Moreover, reducing the expansion volume ratio could facilitate the use of volumetric expanders, such as twin-screw expanders, which, in turn, could facilitate two-phase expansion to be utilised in one, or both, of the cycles. …”
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An Atomic Study of Substructures Formed by Shear Transformation in Cast γ-TiAl by Hanlei Zhang, Hongchao Kou, Xiaolei Li, Bin Tang, Jinshan Li

“…If shear transformation in the original lath is homogeneous and complete, secondary twin forms which may further grow into twin intersection. …”
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Methods and software for anomalies searching in the telemetry data of a solar power plant based on the normalized power analysis by S. V. Vаlevich, K. S. Dzick, I. I. Pilecki, I. Kruse, R. M. Asimov, V. S. Asipovich

“…The purpose of the study is to develop new methods and software algorithms for finding anomalies in the operation of solar panels based on the results of a digital twin created and trained according to the telemetry data of a solar power plant.Methods. …”
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Molecular Dynamics Simulation of the Coalescence and Melting Process of Cu and Ag Nanoparticles by Hui Guo, LinFu Zhang, Qiang Zhu, ChuanJie Wang, Gang Chen, Peng Zhang

“…As the temperature goes up, Cu and Ag nanoparticles may generate stacking fault or twin boundary to stabilize the interface structure. …”
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Pseudo-siamese network image tampering localization model based on reinforced samples by Jinwei WANG, Zihe ZHANG, Xiangyang LUO, Bin MA

“…With the continuous development of the internet, an increasing number of images have been tampered with on the network, accompanied by a growing range of techniques to cover up tampering traces.However, most current detection models neglect the impact of image post-processing on tamper detection algorithms, limiting their real-life applications.To address these issues, a general image tampering location model based on enhanced samples and the pseudo-twin network was proposed.The pseudo-twin network enabled the model to learn tampering features in real images.On one hand, by applying convolution constraints, the image content was suppressed, allowing the model to focus more on residual trace information of tampering.The two-branch structure of the network facilitated the comprehensive utilization of image feature information.By utilizing enhanced samples, the model could dynamically generate the most crucial pictures for learning tamper types, enabling targeted training of the model.This approach ensured that the model converged in all directions, ultimately obtaining the global optimal model.The idea of data enhancement was employed to automatically generate abundant tampered images and corresponding masks, effectively resolving the limited tampering dataset issue.Extensive experiments were conducted on four datasets, demonstrating the feasibility and effectiveness of the proposed model in pixel-level tamper detection.Particularly on the Columbia dataset, the algorithm achieves a 33.5% increase in F1 score and a 23.3% increase in MCC score.These results indicate that the proposed model harnesses the advantages of deep learning models and significantly improves the effectiveness of tamper location detection.…”
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Power Load Prediction Algorithm Based on Wavelet Transform by Xu Chen, Haomiao Zhang, Chao Zhang, Zhiqiang Cheng, Yinzhe Xu

“…To address the environmental impact, low efficiency, and poor accuracy of existing power load prediction methods, this study innovatively proposes a power load prediction system that combines wavelet transform with digital twin technology. Compared with similar power load prediction methods, the proposed method achieved the highest power load prediction accuracy rate of 97.26%, with the lowest MAPE and RMSE being only 3.96% each. …”
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In-plane anisotropy in deformation micro-mechanism of commercially pure titanium during monotonic tension and cyclic loading by Atasi Ghosh

“…This has been attributed to the formation of intersecting multi-variant twins, which increases fatigue crack propagation resistance during cyclic deformation of 0R sample. …”
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Photonic Horn Jets and Whispering Gallery Modes in Dielectric Micro-Cylinders With Two Point-Source Illumination by Shadi A. Alboon, Qing Huo Liu, Ibrahim Mahariq

“…In this context, this study investigates the generation of twin photonic jets from a dielectric micro-cylinder illuminated by two point-sources. …”
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Representing 9/11: Alejandro González Iñárritu’s short film in 11'09"01: September 11 by Marie-Christine CLEMENTE

“…In his 11'9"01: September 11 short film, Alejandro González Iñárritu responds to the oversaturated broadcast of the burning Twin Towers that characterises 9/11 by confronting his audience with a black screen that is haunted by sounds recorded around the world on September 11th, 2001. …”
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Properties of Poly(Lactic Acid) Filled with Hydrophobic Cellulose/SiO2 Composites by Kittithorn Lertphirun, Kawee Srikulkit

“…Resultant hydrophobic cellulose/SiO2 composites were melt mixed with PLA using a twin-screw extruder to obtain 10 wt% masterbatch. …”
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Effects of a News Literacy Video on News Literacy Perceptions and Misinformation Evaluation by Rita Tang, Melissa Tully, Leticia Bode, Emily K. Vraga

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Is joint hypermobility linked to self-reported non-recovery from COVID-19? Case–control evidence from the British COVID Symptom Study Biobank by Hugo D Critchley, Dorina Cadar, Claire J Steves, Kevin A Davies, Alan J Hakim, Nicholas Gall, Jessica A Eccles, Vicky Bowyer, Lisa Quadt, Nathan Cheetham

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Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

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Pattern-reversal visual evoked potentials in prosthetic vision and simulated visual reduction by Sandra R Montezuma, Yingchen He, Jonathon Toft-Nielsen, Gordon Legge

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Characteristics of Siblings with Familial Mediterranean Fever: A Single-Center Experience by Elif Arslanoglu Aydin, Esra Baglan, İlknur Bagrul, Emine Nur Sunar Yayla, Nesibe Gokce Kocamaz, Semanur Ozdel

“…Genetic mutations, attack symptoms, and colchicine response were the same in twin pairs. The age of disease onset and age at diagnosis were also the same in half of the twin pairs. …”
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Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources by Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

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Development and Optimization of a Real-Time Monitoring System of Small-Scale Multi-Purpose Juice Extractor by Tae-Hyeon Kim, Jae-Min Jung, Wang-Hee Lee

“…The system developed is equipped with two weight sensors attached to the twin-screw juice extractor, allowing for the automatic measurement of the weight of the raw material and the resulting juice product. …”
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