Challenges and opportunities in atomistic simulations of glasses: a review by Liu, Han, Zhao, Zhangji, Zhou, Qi, Chen, Ruoxia, Yang, Kai, Wang, Zhe, Tang, Longwen, Bauchy, Mathieu

“…We discuss future opportunities offered by the seamless integration of simulations, knowledge, experiments, and machine learning in advancing glass modeling to a new era.…”
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Integrative bioinformatics analysis to decipher common pathogenic processes in type 2 diabetes mellitus and pancreatic cancer by Faez Falah Alshehri

“…This study used bioinformatics analysis to uncover shared transcriptional patterns and central genes between T2DM and PC, identifying 388 dysregulated genes. Functional annotation and pathway analysis highlighted involvement in immune responses and pathways such as Type II diabetes mellitus and the Rap1 signalling. …”
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Spectrum cognitive intelligent management and control for aviation 6G by Dong LIU, Qihui WU, Quek Tony Q.S.

“…With the development of the ground-air-space integrated information network,satellite networks and ground mobile networks serve as space and ground fundamental infrastructures,respectively.While various aerial platforms such as drones constitute air mobile networks to connect space and ground infrastructures.As an important form of 6G,aviation 6G will include new types of air-to-air,air-to-ground and air-to-space communication and networking techniques.An important issue for aviation 6G is how to efficiently use spectrum resources.Based on the challenges of aviation 6G and electromagnetic spectrum space,a spectrum cognitive intelligent management and control architecture for aviation 6G was proposed,and the functions were elaborated of the four main modules in the architecture,namely spectrum cloud,spectrum control link,device spectrum software defined and spectrum sensor network.Three key technologies of spectrum cognitive intelligent management and control for aviation 6G were analyzed and discussed,namely intelligent three-dimensional spectrum space digital twins,3D spectrum intelligent decision,and rapid collaborative learning of spectrum mapping.It is expected to provide guidance and suggestions for the subsequent research on aviation 6G and spectrum intelligent management and control.…”
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Spectrum cognitive intelligent management and control for aviation 6G by Dong LIU, Qihui WU, Quek Tony Q.S.

“…With the development of the ground-air-space integrated information network,satellite networks and ground mobile networks serve as space and ground fundamental infrastructures,respectively.While various aerial platforms such as drones constitute air mobile networks to connect space and ground infrastructures.As an important form of 6G,aviation 6G will include new types of air-to-air,air-to-ground and air-to-space communication and networking techniques.An important issue for aviation 6G is how to efficiently use spectrum resources.Based on the challenges of aviation 6G and electromagnetic spectrum space,a spectrum cognitive intelligent management and control architecture for aviation 6G was proposed,and the functions were elaborated of the four main modules in the architecture,namely spectrum cloud,spectrum control link,device spectrum software defined and spectrum sensor network.Three key technologies of spectrum cognitive intelligent management and control for aviation 6G were analyzed and discussed,namely intelligent three-dimensional spectrum space digital twins,3D spectrum intelligent decision,and rapid collaborative learning of spectrum mapping.It is expected to provide guidance and suggestions for the subsequent research on aviation 6G and spectrum intelligent management and control.…”
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A Category–Pose Jointly Guided ISAR Image Key Part Recognition Network for Space Targets by Qi Yang, Hongqiang Wang, Lei Fan, Shuangxun Li

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Knowledge injection methods in question answering by D. V. Radyush

“…The present work considers knowledge injection methods as a means of providing functional enhancements to large language models by providing necessary facts and patterns from external sources.Methods. …”
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Biowastes as sustainable catalysts for water treatment: A comprehensive overview by Hirpha Adugna Areti, Abas Siraj Hamda, Lata Deso Abo, Abdisa Jabesa, Melkiyas Diriba Muleta

“…Despite challenges related to scalability, stability, and reusability, strategies such as functionalization, hybridization, and the incorporation of computational tools offer pathways for improvement. …”
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Recent advances in 3D and 4D printing in pharmaceutical technology: applications, challenges, and future perspectives by Alaa H. Salama

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SoK: The Impact of Educational Data Mining on Organisational Administration by Hamad Almaghrabi, Ben Soh, Alice Li, Idrees Alsolbi

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Semiconductor Wafer Defect Recognition Based on Improved Coordinate Attention Mechanism by Hao He, Yuanjie Wei, Xionghao Lin, Minmin Zhu, Haizhong Zhang

“…In the semiconductor wafer manufacturing process, it is necessary to inspect the electrical parameters and functions of the wafer to identify the defects in the chip manufacturing process. …”
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From Context to Connection: Client Letters in STEM Integration Curricula by Christine H. McDonnell, Imani N. Adams, Morgan M. Hynes, S. Selcen Guzey, Mary K. Pilotte, Greg J. Strimel, Kristina M. Tank, Tamara J. Moore

“…Based on these findings, we present the Conceptual Framework for Client Letter Development, which categorizes the instructional and narrative functions of client letters. This framework offers practical guidance for educators and curriculum developers seeking to design immersive, integrative STEM learning experiences.…”
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Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT by Matyas Lukacs, Fruzsina Toth, Roland Horvath, Gyula Solymos, Boglárka Alpár, Peter Varga, Istvan Kertesz, Zoltan Gillay, Laszlo Baranyai, Jozsef Felfoldi, Quang D. Nguyen, Zoltan Kovacs, Laszlo Friedrich

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Neural network analysis for predicting metrics of fragmented laminar artifacts: a case study from MPPNB sites in the Southern Levant by Eugenio Nobile, Maurizio Troiano, Fabio Mangini, Marco Mastrogiuseppe, Jacob Vardi, Fabrizio Frezza, Cecilia Conati Barbaro, Avi Gopher

“…Our suggested approach is based on readily accessible machine learning (artificial intelligence) and neural network analysis. …”
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Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research by Franco Delogu, Chantol Aspinall, Kimberly Ray, Anibal Solon Heinsfeld, Conner Victory, Franco Pestilli

“…Students conducted anatomical and functional brain imaging analyses on openly available datasets, testing original hypotheses about brain structure variations. …”
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Controllable Crystalline Phases of Multi‐Cation Oxides by Takafumi Ogawa, Makoto Tanaka, Naoki Kawashima, Taishi Ito, Kei Nakayama, Takeharu Kato, Satoshi Kitaoka

“…The source of their functionality lies in a wide compositional search space derived from countless cation combinations and diverse crystal structures formed in metal oxides. …”
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Does Intercity Transportation Accessibility Matter? Its Effects on Regional Network Centrality in South Korea by Sangwan Lee, Jeongbae Jeon, Kuk Cho, Junhyuck Im

“…First, the Seoul Metropolitan Area emerges as the dominant mobility hub, with Busan, Daegu, and Daejeon functioning as secondary centers, reflecting a polycentric urban configuration. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…Multi-omics data provide a detailed snapshot of the molecular processes underpinning cellular functions and their regulation, describing the current state of the cell. …”
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Engaging with clean power: integrated, hands-on lessons on photocatalytic hydrogen production for high school students by Han Fu, Zhenhua Pan, Jill Wenderott

“…In Module 2, students conduct laboratory experiments to measure hydrogen production using various photocatalysts, including titania (TiO2), graphitic carbon nitride (g-C3N4), and modified strontium titanate (SrTiO3). Module 3 takes learning outdoors, where students examine the effects of natural sunlight and environmental factors on photocatalytic efficiency, thereby gaining practical understanding of how photocatalysis functions in real-world conditions. …”
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A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling by Derya Avcı

“…A total of 1000 features obtained for each sample image from this attention mechanism are used as inputs for an Optimum Extreme Learning Machine (OELM) classifier using various activation functions, and are classified. …”
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Master your practice! A quantitative analysis of Device and system handling training to enable competent interactions with intelligent voice assistants by Maximilian Baumann, André Markus, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich

“…Users often have a superficial understanding of the full range of functions IVAs can be used for and how to use them effectively. …”
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