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📢 New Research Article Published!🔬 Identification PDF as a biomarker of “cold” CRC using integrated bioinformatics and m...
14/09/2026

📢 New Research Article Published!

🔬 Identification PDF as a biomarker of “cold” CRC using integrated bioinformatics and machine learning

In this study, Chen et al. identify peptide deformylase (PDF) as a potential biomarker of “cold” colorectal cancer (CRC) through integrated bioinformatics and machine-learning analyses.

The findings show that high PDF expression is associated with poor prognosis, reduced immune infiltration, and enhanced oxidative phosphorylation (OXPHOS), providing new insights into the mechanisms underlying immune suppression in CRC.

The study further proposes a potential PCBP1–PDF–OXPHOS axis, offering a promising direction for understanding and potentially targeting immune-refractory colorectal tumors.

🔗 Read the full article on ELSPublishing.

📢 Call for Papers | Special IssueLaw, Ethics & Technology invites submissions to the Special Issue:“Governing with AI: P...
08/09/2026

📢 Call for Papers | Special Issue

Law, Ethics & Technology invites submissions to the Special Issue:

“Governing with AI: Public Sector Challenges”

The Special Issue welcomes research exploring the technological, legal, ethical, and socio-economic dimensions of AI in public governance, including topics such as smart cities, environmental management, sustainable development, transparency, citizen participation, and intergovernmental collaboration.

👥 Guest Editors:
Prof. Shubha Ghosh
Dr. Cheng Xu
Dr. Shen Wang

📅 Submission Deadline: 31 December 2026
✅ APC waived until the end of 2026
📧 E-mail: [email protected]

We warmly welcome original research articles, empirical case studies, theoretical studies, and review papers.

Facebook🧠 Call for Papers | Neuroelectronics Special IssueWe are pleased to announce that the submission deadline for th...
03/09/2026

Facebook

🧠 Call for Papers | Neuroelectronics Special Issue

We are pleased to announce that the submission deadline for the Neuroelectronics Special Issue:

“Silicon-Based Probes for Invasive Brain–Computer Interfaces: Engineering Innovations and Clinical Translation”

has been extended to:

📅 Submission Deadline: 31 October 2026

Guest Editor: Prof. Chen Liu, Xidian University, China
Co-Guest Editor: Assoc. Prof. Minghao Wang, Hangzhou Dianzi University, China

We welcome high-quality Research Articles, Reviews, and related contributions covering topics including:

• High-density neural recording technologies
• Long-term stability and packaging/interconnect technologies
• Clinical translation and human trials
• Innovative materials and system integration
• Silicon-based neural probes and invasive brain–computer interfaces

🎉 APCs are fully waived for authors.

Researchers working in neural interfaces, neuroelectronics, biomedical engineering, neural probes, and brain–computer interfaces are warmly invited to contribute.

🔗 Submit your manuscript: https://jms.elspub.com/

📢 New Article in Smart Construction!We are delighted to share a new Open Access research article:“Development of high-pe...
01/09/2026

📢 New Article in Smart Construction!

We are delighted to share a new Open Access research article:

“Development of high-performance alkali-stabilized earthen composites reinforced with natural fibers: coupled thermal and mechanical behavior”

👥 Authors: Mohamed Char, Youssef Khrissi, and Amine Tilioua

🌱 The study explores a sustainable strategy for developing high-performance earth-based building materials through alkaline stabilization and reinforcement with locally sourced natural fibers.

🏗️ The resulting composites showed improved thermal insulation and mechanical performance, highlighting their potential as an eco-efficient and economically viable solution for sustainable construction, particularly in arid and semi-arid regions.

🔗 DOI: 10.55092/sc20260016

📢 New Article in Smart Construction!We are pleased to share a new Open Access research article:“MixStyle-based adversari...
01/09/2026

📢 New Article in Smart Construction!

We are pleased to share a new Open Access research article:

“MixStyle-based adversarial domain generalization for cross-domain bridge damage localization”

👥 Authors: Xiaoxia Wei, Yizhou Lin, Hongwei Ma, Zhenhua Nie, and Jun Li

🏗️ This study proposes a novel domain-generalization approach for structural health monitoring and bridge damage localization. By integrating MixStyle-based style transfer with adversarial training, the method learns domain-invariant, damage-sensitive features and demonstrates strong performance on previously unseen target domains.

🔬 Both simulation and laboratory experiments support the effectiveness of the proposed approach.

🔗 DOI: 10.55092/sc20260015

📢 New Article in Advanced Equipment!We are pleased to share a new Open Access article:“A mechanism-data fusion framework...
01/09/2026

📢 New Article in Advanced Equipment!

We are pleased to share a new Open Access article:

“A mechanism-data fusion framework for process-microstructure prediction and optimization in laser directed energy deposition of Ti-6Al-4V using dual-level surrogate modeling”

🔬 The study develops a physics-informed mechanism–data fusion framework integrating finite element modeling (FEM), phase-field modeling (PFM), and LSTM neural networks to enable efficient process–microstructure prediction and optimization in laser-directed energy deposition of Ti-6Al-4V.

👥 Authors: Yushuang Zhang, Tong Zhao, Pengwei Liu, Xuanmu Zhou, Xintong Wang, Jiale Yang, Zhuo Wang, Xingang Liu, Yingjie Zhao, and Wenhua Yang.

🔗 Read the full article:
https://www.elspub.com/doi/10.55092/ae20260006

📢 New Publication | Advances in Cancer ResearchWe are pleased to share a newly published review:🧬 “Amino acid sensors as...
24/08/2026

📢 New Publication | Advances in Cancer Research

We are pleased to share a newly published review:

🧬 “Amino acid sensors as key regulators of tumor biology”

Authors: Xiaodan Shi, Rui Wang & Simin Zhao

Amino acid sensing plays a crucial role in helping tumors adapt to changing nutrient conditions. This review explores how amino acid sensors regulate:

🔹 Tumor metabolic homeostasis
🔹 Epigenetic regulation
🔹 Immune microenvironment
🔹 Oxidative stress and redox balance
🔹 Tumor growth, plasticity, and immune evasion

The article also highlights the therapeutic potential of targeting amino acid-sensing pathways to exploit metabolic vulnerabilities in cancer.

🔗 Read the full article:
https://www.elspub.com/doi/10.55092/acr20260012

📢 **Call for Papers | LMAGI 2026**The **International Conference on Large Models and Artificial General Intelligence (LM...
20/08/2026

📢 **Call for Papers | LMAGI 2026**

The **International Conference on Large Models and Artificial General Intelligence (LMAGI 2026)** will be held from **October 30 to November 1, 2026**, in **Zhangjiajie, China**.

LMAGI 2026 will bring together researchers, academics, and industry professionals to exchange the latest advances in **large language models, artificial general intelligence, multimodal AI, deep learning, intelligent systems, and related emerging technologies**.

📅 **Date:** October 30–November 1, 2026
📍 **Venue:** Zhangjiajie, China
🏛️ **Organizer:** Beijing University of Posts and Telecommunications
🤝 **Co-organizers:** Hunan Institute of Electronics, ESBK International Academic Exchange Center, and AC Academic Platform
📚 **Publication Information:** Papers will be submitted to the **EI database**
📧 **Email:** [[email protected]](mailto:[email protected])

🌐 **Conference Website:** https://www.lmagi.org/
📝 **Submission:** https://ocs.academicenter.com/main?short_name=LMAGI

Researchers working in **large models and general artificial intelligence** are warmly invited to submit their latest work and join LMAGI 2026.

🔬 New Review Published in AI & Materials!📢 This review explores how assembly optimization can improve light collection e...
18/08/2026

🔬 New Review Published in AI & Materials!

📢 This review explores how assembly optimization can improve light collection efficiency (LCE) in scintillation detectors, an important factor influencing detector sensitivity, energy resolution, and overall performance.

The article discusses key strategies including scintillator geometry optimization, surface treatment, optical coupling, reflector selection, and photodetector matching. It also highlights the growing potential of artificial intelligence and computational approaches to support more efficient detector design and performance optimization.

These advances could contribute to the development of more sensitive and reliable scintillation detection systems for applications in medical imaging, radiation detection, nuclear physics, and other advanced technologies.

📖 Read the full article:
https://www.elspub.com/doi/10.55092/aimat20260007

🔬 **New Article Published in AI & Materials!**📢 **Machine learning-based ion sieve forming strategy: impact on salt lake...
18/08/2026

🔬 **New Article Published in AI & Materials!**

📢 **Machine learning-based ion sieve forming strategy: impact on salt lake lithium recovery by fixed beds**

This study introduces a **machine learning-based approach** to optimize lithium-ion sieve shaping and fixed-bed adsorption performance, offering new insights for more efficient **lithium recovery from salt-lake brines**.

📖 Read the full article:
https://www.elspub.com/doi/10.55092/aimat20260008

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