Water ecological health is crucial for sustainable ecosystems and human well-being. However, China's complex water environments present significant challenges for precise health assessments. After analyzing global water ecological practices, Wenqing Liu's team identified specific challenges to China's water ecological monitoring and assessment, including cognition, observation, and analysis gaps.

This review focuses on the critical role of amino acid metabolism in breast cancer development and progression. It explains how cancer cells reprogram amino acid usage—especially glutamine, serine, glycine, aspartate, arginine, and tryptophan—to support proliferation, survival, immune evasion, and metastasis. The review emphasizes metabolic heterogeneity among different breast cancer subtypes and explores therapeutic strategies targeting these pathways.

This review covers recent advances in artificial intelligence (AI) for aquatic species identification and conservation, systematically summarizing the current applications and challenges of machine learning algorithms in image analysis, acoustic identification, and ecological threat detection. It highlights that AI models such as convolutional neural network (CNN) and recurrent neural network (RNN) have demonstrated significantly higher accuracy and scalability in species classification, habitat monitoring, and environmental threat detection compared to traditional ecological survey methods. Additionally, through bibliometric analysis, the study identifies global research trends and interdisciplinary collaboration patterns, emphasizing the importance of strengthening cross-disciplinary cooperation, establishing standardized protocols, and developing open data platforms to support sustainable aquatic ecosystem conservation.

This study proposes an automatic liver segmentation method for computed tomography (CT) images based on an improved ResUNet, which integrates the advantages of UNet and ResNet architectures to achieve high-precision segmentation on 128×128pixel images. The model removes batch normalization layers and incorporates residual blocks, combined with data augmentation techniques, ultimately achieving excellent metrics such as a Dice coefficient of 93.08% and accuracy of 98.57%. Surpassing traditional methods, this approach provides efficient and reliable technical support for liver disease diagnosis.

This review article provides a comprehensive overview of stress granules (SGs) —membraneless organelles formed in response to cellular stress—and their interactions with other organelles. It explores their structure, function, roles in health and disease, especially neurodegeneration, and discusses methodologies used to study these interactions. SGs influence critical cellular pathways, and understanding their interplay with both membrane-bound and membraneless organelles can reveal potential therapeutic targets for diseases like ALS and FTD.

New research found that combining radiofrequency ablation (RFA) with anti-PD-1 immunotherapy provides dual therapeutic benefits for hepatocellular carcinoma (HCC), effectively controlling distant tumors while preventing recurrence. The combination therapy significantly enhances infiltration of CD8⁺ T cells and dendritic cells while reducing PMN-MDSCs, mediated through activation of CXCL10/JAK-STAT signaling pathways. Importantly, this approach establishes durable immune memory capable of inhibiting growth of rechallenge tumor.

Zinc-ion hybrid supercapacitors (ZHSs) are promising energy storage systems integrating high energy density and high-power density, whereas they are plagued by the poor electrochemical stability and inferior kinetics of zinc anodes. Herein, we report an electrolyte additive-assembled interconnecting molecules–zinc anode interface, realizing highly stable and fast-kinetics zinc anodes for ZHSs. The sulfobutyl groups-grafted β-cyclodextrin (SC) supramolecules as a trace additive in ZnSO₄ electrolytes not only adsorb on zinc anodes but also self-assemble into an interconnecting molecule interface benefiting from the mutual attraction between the electron-rich sulfobutyl group and the electron-poor cavity of the adjacent SC supramolecule. The interconnecting molecules–zinc anode interface provides abundant anion-trapping cavities and zincophilic groups to enhance Zn²⁺ transference number and homogenize Zn²⁺ deposition sites, and meanwhile, it accelerates the desolvation of hydrated Zn²⁺ to improve zinc deposition kinetics and inhibit active water molecules from inducing parasitic reactions at the zinc deposition interface, making zinc anodes present superior reversibility with 99.7% Coulombic efficiency, ~ 30 times increase in operation lifetime and an outstanding cumulative capacity at large current densities. ZHSs with 20,000-cycle life and optimized rate capability are thereby achieved. This work provides an inspiring strategy for designing zinc anode interfaces to promote the development of ZHSs.

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.