At the invitation of Professor Sergio Bernardini, Secretary General of the International Society of Clinical Chemistry and Laboratory Medicine (IFCC) and Deputy Editor-in-Chief of LMD, the LMD team appeared at the 2025 IFCC Annual Meeting in Brussels, Belgium. There, they jointly exhibited with international authoritative journals such as Clinica Chimica Acta and Journal of Mass Spectrometry & Advances in the Clinical Lab, jointly creating a high-end academic platform in the field of laboratory medicine.

India’s race, religion, and caste are quite diverse. Even within the same nation, regional variations exist in the ABO blood type and the Rh system. The current research examined the relationship between diseases and the ABO blood type among Nagaland’s Chakhesang ethnic communities. This research considered the population of sick people with ABO blood types. One hundred persons, including men and women from the Chakhesang tribe, served as research respondents. The Chakhesang Naga tribe was selected for this study because of the documented higher prevalence of hypertension and diabetes mellitus within this group compared to the broader regional population. The study also aimed to explore a possible association between these health conditions and blood type A. The ABD antisera typing Kit’s standard methodology was followed for blood group testing. S2 ABO software was used to compute the Hardy-Weinberg model, and the chi-square test was used to compare the results. In this research, we discovered that blood type A was more likely to develop hypertension and diabetes than blood types B and O (blood type A, X² = 16.3, P = 0.00∗; blood type B, X² = 18, P = 0.00∗; blood type O, X² = 0.085, P = 0.87). This might imply that blood type A may be genetically predisposed to diabetes and hypertension more than other blood types. Our research shows that, compared to healthy individuals, the prevalence of hypertension and diabetes was much higher in the general population. The Chakhesang Naga tribe has the highest prevalence of blood type B, while those with blood type A are the most afflicted and sensitive to hypertension and diabetes. A key limitation of the study is that the findings are based on a specific population and may not be generalizable. Larger and more diverse cohorts are needed to evaluate their broader applicability.

Recently, Prof. Shou-Fei Zhu’s research group at Nankai University reported in CCS Chemistry a highly efficient and selective hydro-silylation reaction of asymmetric internal alkynes with trisubstituted silanes, catalyzed by a cobalt complex bearing a cyclopropane-based diphosphine ligand. The reaction proceeds under mild conditions, demonstrates broad substrate scope and excellent functional group tolerance, and is generally applicable for the synthesis of alkenylsilanes. Notably, the reaction displays a unique additive effect, where the regioselectivity reverses depending on the additive used. Mechanistic studies revealed that different additives alter the spin state of the catalyst during the reaction, leading to divergent regioselectivities. This study provides new insights into the rational application of additives in catalysis.

Non-invasive respiratory support has transformed the treatment of acute hypoxemic respiratory failure, yet choosing the best option remains challenging. A special issue of the Journal of Intensive Medicine explores currently available strategies and their roles in improving patient outcomes and avoiding intubation. Through both expert reviews and original research, this special issue offers practical, evidence-based guidance to help medical practitioners navigate a critical aspect of intensive care.

Researchers at Jiangnan University have innovated a hybrid detection system for inter-turn short circuits in five-phase permanent magnet motors, merging real-time tracking algorithms with deep learning. This achievement enables the delivery of enhanced accuracy in both fault detection and severity gradation assessment.

Researchers have developed an analytical model for Stirling engines based on an optimized Simple analysis method, significantly improving the accuracy of performance predictions. This provides optimization and analysis tools for more efficient and reliable Stirling engines, which is crucial for applications ranging from space nuclear power to terrestrial energy systems.

Real-time monitoring of additive concentrations in acidic copper plating solution is critical for ensuring process stability and reliability in integrated circuit manufacturing. Traditional detection systems rely on bulky rotating platinum disk electrodes (2–3 mm diameter) that consume large solution volumes to maintain unrestricted flow at high speeds, complicating operational workflows and limiting miniaturization. A team of scientists has addressed these challenges by developing a novel electrochemical microfluidic workstation that combines 3D-printed microfluidic chips with static platinum ultra-microelectrodes. By integrating microfluidic programmed mixing, the system reduces single-test solution consumption to 220 microliters. Calibration curves based on additive effects on copper deposition kinetics enable concentration detection with average relative errors below 10%. Their work is published in the journal Industrial Chemistry & Materials on June 26.

Cancer is turning up more frequently in young women. The American Cancer Society shows the incidence rate for women younger than 50 has increased from 51% higher than men in 2002 to 82% higher in 2021. Regular checkups aid early detection, and convenient genetic testing makes it easier than ever to protect women's health.

This study explores ionic redistribution in perovskite LEDs during pulsed operation, using drift-diffusion simulations to analyse the impact of mobile ionic defects on light emission and providing insights into the functionality of these promising devices.

Trees help clean the air in cities but they also contribute to smog formation. A recent study conducted at Beijing Forestry University analyzed six major urban tree species for carbon storage and biogenic volatile organic compound (BVOC) emissions using field surveys and satellite data. The findings revealed two tree species: Robinia pseudoacacia and Betula platyphylla, as the ideal for maximizing carbon capture while minimizing harmful emissions—guiding smarter urban forest planning in China.