ELSP, No. 85th Xinshao East Road, Yuhua District, Guangzhou (2026)

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

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

18/08/2026

🌟 **New Review Published in *Advances in Cancer Research*!**

📢 **βIII-tubulin in malignant tumors: unveiling its biological functions, mechanisms and roles in drug resistance**

A recent review by **Xiaomeng Xie, Dengyun Zhao, Xuejiao Liu, Xinyi Wang, Xueli Tian, D**g Joon Kim, and Zigang D**g** explores the emerging role of **βIII-tubulin (TUBB3)** in cancer progression, signaling, and therapeutic resistance.

🔬 **Key highlights:**
• TUBB3 possesses distinct structural features that influence microtubule dynamics and cellular responses to anticancer treatments.
• Its expression is associated with tumor aggressiveness and drug resistance across multiple cancer types, although its clinical significance is highly context-dependent.
• TUBB3-associated regulatory networks may offer promising therapeutic opportunities for overcoming treatment resistance.
• Future integration of **multi-omics, single-cell technologies, and functional screening** could help identify TUBB3-driven vulnerabilities and support precision oncology.

This review positions TUBB3 as an important molecular link between **cytoskeletal regulation, cancer signaling, and therapeutic failure**.

📖 Read the full article:
https://www.elspub.com/doi/10.55092/acr20260011

🔗 DOI: 10.55092/acr20260011

18/08/2026

🌟 New Article Published in AI & Materials!

📢 Highly vertically oriented 2D/3D tin perovskite films for efficient and stable solar cells

Ziyong Kang, Mingyu Ma, Yibo Han, Fen Zhang, Lu Zhang, Jingyuan Qiao, Zhixin Sheng, Peng Feng, and Hongqiang Wang report a promising strategy for advancing lead-free tin perovskite solar cells.

🔬 By introducing p-biguanidinobenzoic acid hydrochloride (p-BGBA) to regulate crystallization, the researchers achieved high-quality 2D/3D tin perovskite films with highly vertical crystal orientation.

☀️ Key results:
• Champion power conversion efficiency: 14.96%
• Retained 91% of initial performance after 2,500 h of storage
• Improved crystal orientation and film quality
• Promising approach toward efficient and stable lead-free photovoltaics

📖 Read the full Open Access article:
https://www.elspub.com/doi/10.55092/aimat20260009

🔗 DOI: 10.55092/aimat20260009

17/08/2026

🧬 New Review | Targeting Purine Metabolism in Cancer

A recent review explores how abnormal purine metabolism supports tumor growth, reshapes the immune microenvironment, and contributes to therapy resistance.

🔬 The study highlights key purine metabolic enzymes as promising therapeutic targets and discusses how selective inhibitors, combined therapies, single-cell sequencing, and spatial multi-omics could support more precise and personalized cancer treatment.

📖 Read the full article:
https://www.elspub.com/doi/10.55092/acr20260010

17/08/2026

Meet the Inaugural Editorial Board of Smart Sensors 🌟

We are delighted to introduce the Inaugural Editorial Board of Smart Sensors!

Bringing together distinguished scholars and experts from leading universities and research institutions worldwide, our Editorial Board represents diverse expertise in smart sensing, sensor technologies, and intelligent perception.

📚 Key areas of interest include:
 Sensor development, including physical and chemical sensors, biosensors, MEMS/NEMS, wearable and self-powered sensors
 Sensor theory, modeling, simulation, sensing mechanisms, and device optimization
 Advanced materials for sensing, including nanomaterials, 2D materials, piezoelectric and triboelectric materials
 Electronic signal processing, data analysis, machine learning, and AI-enabled sensing
 Instrumentation, microfluidics, sensor integration, and multifunctional sensing platforms
 Sensor systems, multimodal sensing, sensor networks, and intelligent perception
 Applications in healthcare, industry, agriculture, environment, aerospace, robotics, automotive, and other emerging fields

📣 Call for Papers

Smart Sensors welcomes original research articles, reviews, perspectives, and other high-quality contributions covering emerging advances in smart sensing and intelligent perception.

We warmly invite researchers worldwide to submit their latest research and join us in advancing the frontiers of smart sensing technology.

🚀 Homepage: https://www.elspub.com/journals/smart-sensors/home/
📝 Submission: https://jms.elspub.com/login

We look forward to receiving your contributions!
📩 Contact us: [email protected]

13/08/2026

📢 New Open Access Article | Law, Ethics and Technology

🌐 Anticipatory AI governance for territorial digital inclusion strategies: action research within the Provincial Council of Gipuzkoa (Basque Country)

How can governments prepare for the societal impacts of AI while promoting digital inclusion and protecting democratic values?

In this article, Igor Calzada and Itziar Eizaguirre examine the implementation of anticipatory AI governance in Gipuzkoa, highlighting the importance of policy foresight, stakeholder participation, ethical decision-making, and territorial coordination.

The study provides valuable insights for public institutions seeking to develop inclusive and responsible approaches to AI governance.

📖 Read the full article:
https://www.elspub.com/doi/10.55092/let20260008

13/08/2026

📢 New Open Access Article | Law, Ethics and Technology

🤖 Acceleration AI ethics and the Telus GenAI conversational agent

How should we balance rapid AI innovation with safety and social responsibility?

In this thought-provoking article, James Brusseau explores the concept of acceleration AI ethics and demonstrates how it can be applied in practice through the case of the Telus GenAI conversational agent.

The study offers an interesting perspective on how continued innovation may help address the risks and ethical challenges created by emerging AI technologies.

📖 Read the full article:
https://www.elspub.com/doi/10.55092/let20260006

10/08/2026

Facebook Post

🧠 CALL FOR PAPERS – SPECIAL ISSUE | NEUROELECTRONICS

Are you working on silicon-based neural probes, invasive brain–computer interfaces, neural recording technologies, or clinical neuroengineering?

The journal Neuroelectronics welcomes submissions to the Special Issue:

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

Guest Editors:
👤 Prof. Chen Liu – Xidian University, China
👤 Assoc. Prof. Minghao Wang – Hangzhou Dianzi University, China

We welcome research in areas including:

🔹 High-Density Neural Recording Technologies
🔹 Long-Term Stability and Packaging/Interconnect Technologies
🔹 Clinical Translation and Human Trials
🔹 Innovative Materials and System Integration

🎉 APCs are fully waived for the authors!

📅 Submission deadline: 31 August 2026
📧 [email protected]
📤 Submit here: https://jms.elspub.com/

Please feel free to share this Call for Papers with colleagues and researchers who may be interested.

10/08/2026

📢 New Article Published in Smart Construction!

We are pleased to share the latest Open Access review:

📖 “Reinforcement Learning for Intelligent Optimization of Steel Structures: A Review”

Authored by Yuqing Gao, Yuhang Lu, Meiyu Du, Wei Wang, and Guanren Zhou, this review explores how reinforcement learning (RL) is advancing the intelligent optimization of steel structures, with particular emphasis on steel-frame section optimization.

🔍 The article provides insights into:
✅ Traditional and surrogate-assisted structural optimization
✅ Reinforcement learning–based design strategies
✅ Environment-based policy learning
✅ Generalization across structural design problems
✅ Challenges toward code-compliant and engineering-oriented intelligent optimization

The review offers a valuable perspective for researchers and engineers working at the intersection of structural engineering, artificial intelligence, and intelligent design.

🔗 Read the full Open Access article:
https://www.elspub.com/doi/10.55092/sc20260014

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