On March 12, at the 2026 London International Book Fair, Tsinghua University Press (TUP) and Springer Nature held a launch ceremony for the latest English volumes in the Handbook of Construction Machinery series: the Handbook of Port Machinery, the Handbook of Piling Machinery, Concrete Machinery and Mortar Machinery, and the Handbook of Environmental Sanitation and Protection Machinery.

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in dense urban environments where high-rise buildings deteriorate signal propagation. In his doctoral dissertation at the University of Vaasa, Finland, Akpojoto Siemuri investigates how adaptive machine learning and advanced sensor fusion methods can improve positioning accuracy, robustness, and efficiency.

Accurate water level forecasting is crucial for effective water resources management. Recently, a group of researchers from Jeonbuk National University has proposed a novel clustering-based machine learning framework for accurate, scalable, and computationally efficient water level prediction, especially in data-scarce regions. These findings are expected to lead to improved flood mitigation, agricultural irrigation, environmental sustainability, and long-term climate adaptation policies.

A new clinical trial led by the Alliance for Clinical Trials in Oncology will investigate if a combination of drug therapies after radiation therapy improves outcomes for people with newly-diagnosed, grade 3 IDH-mutant astrocytoma, a type of brain cancer. Supported in part by a grant from the National Cancer Institute, the study (Alliance A072301) will look at whether adding the oral medication vorasidenib to the standard oral chemotherapy can help keep the cancer from coming back after radiation.

Measuring high aspect ratio and composite micro-trenches without damage is critical for advanced microfabrication, yet conventional coherence scanning interferometry often suffers from a low signal-to-noise ratio and limited lateral resolution. A team from Nanjing University of Science and Technology presents FP-CSI, a transmissive near-infrared interferometric modality that combines aperture synthesis from Fourier ptychographic microscopy with quantitative phase recovery of coherence scanning interferometry, enabling robust 3D morphology reconstruction without iterative phase retrieval.

Tendon-sheath mechanisms help robots work in confined and tortuous spaces, but friction inside these cable-like transmissions can distort motion and make accurate control difficult. Scientists at Nanjing University of Aeronautics and Astronautics identify why many existing control strategies fall short in practice and propose a more compact, adaptable solution based on accumulated curve angle sensing and feedforward compensation.

An extensive computational study by researchers from the University of Jyväskylä (Finland) predicted that gold nanoclusters could selectively recognize chiral biomolecules. This property may help in detecting certain diseases directly from a blood sample.