Efficient exploration of electronic and dielectric properties using advanced first-principles analysis grounded in modern theory of polarization: Application to PbTiO3 by Aimad Belboukhari, Souad Ait Saghir, Abderrahim Bakak, Said El-Jallal, Khaled Ait Bentaleb, My Abdelaziz Koumina, Daoud Mezzane, Yaovi Gagou

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C-Reactive Protein in Human Atherogenesis: Facts and Fiction by Oliver Zimmermann, Kefei Li, Myron Zaczkiewicz, Matthias Graf, Zhongmin Liu, Jan Torzewski

“…Also, experimental results from laboratories all over the world were indeed contradictory, partly because of species differences in CRP biology and partly because data were not accurately evaluated. …”
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See-Then-Grasp: Object Full 3D Reconstruction via Two-Stage Active Robotic Reconstruction Using Single Manipulator by Youngtaek Hong, Jonghyeon Kim, Geonho Cha, Eunwoo Kim, Kyungjae Lee

“…Furthermore, we validate our method on a real robot, showing that it enables full 3D reconstruction of real-world objects.…”
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Implementation of patient-reported outcome dashboards within the electronic health record to support shared decision-making in serious chronic illness by Glyn Elwyn, Sheetal M Kircher, Eugene Nelson, David Cella, Lisa Hirschhorn, Cynthia Barnard, Vikram Aggarwal, Jeffrey Linder, Sofia F Garcia, Aricca Van Citters, Mary O'connor, Laura M Perry, Nisha A Mohindra, Ava Coughlin, Katy Bedjeti, Devin Peipert, Melissa Weitzel, Victoria Morken, Elijah Patten, Jissell Torres, Susan Metzger, Alesia O’daniel, Ryan Chmiel, Reena Modi, Michelle Munroe, Stavroula Xinos

“…Results also point to areas for improvement, including strategies to further support patient and clinician engagement, PRO completion and sustainability in real-world implementation.…”
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Protocol for a scoping review study on the prevalence and public health consequences of non-medical use (NMU) of tramadol in Africa. by Saidou Sabi Boun, Olumuyiwa Omonaiye, Sanni Yaya, Sanni Yaya

“…<h4>Background</h4>Tramadol is one of the most prescribed painkillers in the world. It is a synthetic opioid that is an excellent alternative to morphine and its derivatives in African countries. …”
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Orbital Prosthetic Rehabilitation in “ADAM Complex” Multiple Orofacial-Cleft Disruption Syndrome by Aparna Barabde, Shailesh M. Barabde, Ashish Bhagat, Amar Thakare

“…The challenge was to meet the child’s clamour for functional demands on premature exposure to open world and was overcome through a phased treatment implementation. …”
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Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy by Yujun Tang, Linbo Wang, Gang Wen, Hui Li

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Transferable Targeted Adversarial Attack on Synthetic Aperture Radar (SAR) Image Recognition by Sheng Zheng, Dongshen Han, Chang Lu, Chaowen Hou, Yanwen Han, Xinhong Hao, Chaoning Zhang

“…To the best of our knowledge, our work is the first to explore transferable TAA on SAR models. …”
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Aseptic Abscesses and Inflammatory Bowel Disease: Two Cases and Review of Literature by Natasha Bollegala, Rishad Khan, Michael A. Scaffidi, Ahmed Al-Mazroui, Jenna Tessolini, Adrienne Showler, Errol Colak, Samir C. Grover

“…Though Canada has the highest prevalence of IBD in the world, reports of IBD-associated AA are absent in Canada. …”
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Global value chains and intra-BRICs trade in value-added by José Firmino de Sousa Filho, Gervásio Ferreira dos Santos, Luiz Carlos de Santana Ribeiro, Rodrigo Barbosa de Cerqueira, Larissa Lopes Lima

“…Our findings reveal increased connectivity within global value chains, particularly for China and India. …”
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Nanoparticles in biomedical implants: Pioneering progress in healthcare by David Raymond, Induni Nayodhara Weerarathna, John Kessellie Jallah, Praveen Kumar

“…In the quickly evolving world of healthcare today, new technologies are constantly altering the way we approach medical treatments. …”
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Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light by Kaiyu Cui, Shijie Rao, Sheng Xu, Yidong Huang, Xusheng Cai, Zhilei Huang, Yu Wang, Xue Feng, Fang Liu, Wei Zhang, Yali Li, Shengjin Wang

“…Abstract Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional neural network (SCNN) with matter meta-imaging. …”
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Occurrence of Anticyclonic Tornadoes in a Topographically Complex Region of Mexico by Noel Carbajal, José F. León-Cruz, Luis F. Pineda-Martínez, José Tuxpan-Vargas, Juan H. Gaviño-Rodríguez

“…Tornadoes are violent and destructive natural phenomena that occur on a local scale in most regions around the world. Severe storms occasionally lead to the formation of mesocyclones, whose direction or sense of rotation is often determined by the Coriolis force, among other factors. …”
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Recovering manifold representations via unsupervised meta-learning by Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao

“…In comparison to state-of-the-art baselines, our proposed approach demonstrates improved manifold reconstruction better matching the data manifold by preserving prominent topological features and relative proximity of samples.…”
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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

“…The 3DCNN model utilizing the full spectral dataset achieved outstanding results, with 100 % sensitivity, 99.89 % specificity, and a Matthews correlation coefficient of 0.9966. Our findings demonstrated the potential of this rapid and non-destructive seed vigor assessment as a practical solution for real-world seed quality control in the agricultural industry.…”
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Previous Gestational Diabetes Mellitus and Markers of Cardiovascular Risk by Nikolaos Vrachnis, Areti Augoulea, Zoe Iliodromiti, Irene Lambrinoudaki, Stavros Sifakis, George Creatsas

“…The prevalence of gestational diabetes mellitus (GDM) in the developed world has increased at an alarming rate over the last few decades. …”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

“…In this paper, we propose STGAMAM, which integrates Spatial-Temporal fusion Graph neural networks with a novel Adjacency Matrix and self-Attention Mechanisms to capture both long-term temporal periodicity and short-term spatial-temporal dependencies based on mixed adjacency via graph attention networks and then makes fine-grained prediction on concatenated features which combines diverse correlations. Our approach is validated by extensive experiment on two real-world datasets, which demonstrates the superiority of the proposed method over existing methods.…”
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Improved Localization and Recognition of Handwritten Digits on MNIST Dataset with ConvGRU by Yalin Wen, Wei Ke, Hao Sheng

“…Extensive experiments on both the MNIST dataset and custom mobile datasets demonstrate the effectiveness of our approach. Our model achieves a structural similarity index of 0.913 between predicted and actual sequences, surpassing current state-of-the-art methods by 1.2%. …”
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Feature Selection with Graph Mining Technology by Thosini Bamunu Mudiyanselage, Yanqing Zhang

“…Many real world applications have problems with high dimensionality, which existing algorithms cannot overcome. …”
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Analyzing crop production: Unraveling the impact of pests and pesticides through a fractional model by Navnit Jha, Akash Yadav, Ritesh Pandey, A.K. Misra

“…These simulations are conducted employing the generalized Adams–Bashforth–Moulton method, which allowed us to vividly demonstrate the real-world implications of our research. …”
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