A joint research team from China explored a new paradigm integrating physical models with deep learning, proposing “McLDI-INR: Mask-constraint Lensless Dynamic Imaging by Dual-Domain Collaborative Implicit Neural Representation.” This framework overcomes lensless imaging’s conventional reliance on multiple acquisitions, strong prior assumptions, and high-precision physical models in dynamic scenarios. It enables lensless imaging systems to recover clearer, higher-resolution images of moving samples, paving the way for more flexible and practical lensless imaging applications.

A recent review in the Chinese Medical Journal highlights how tryptophan metabolism regulates female reproductive health via three pathways—kynurenine, serotonin, and indole. These pathways influence ovarian function, immune regulation, and pregnancy outcomes. The review also proposes potential interventions including diet and microbiota modulation, while noting more research is needed for precise mechanisms and clinical applications.

This work presents the first demonstration of a parallel heterodyne light-induced thermoelastic spectroscopy (PH-LITES) sensor for high-speed and high-sensitivity simultaneous multi-gas detection. By synergistically combining signal enhancement at the physical layer with intelligent decoupling at the information layer, the sensor achieves ppb-level simultaneous and fast multi-gas detection based on a single quartz tuning fork (QTF), providing an important reference for the future development of rapid and highly sensitive multi-gas sensing technologies.

Windows contribute significantly to energy inefficiency across global infrastructure. Overcoming complex trade-offs in multispectral optical responses, scientists in China have developed a physics-guided neural network to design energy-efficient thermochromic smart windows for directional privacy protection. These inverse-designed windows achieve ultrahigh simultaneous modulation of near-infrared transmittance and longwave infrared emissivity. Applied to electric vehicles and building envelopes, these customized smart windows demonstrate superior, climate-adaptive all-weather thermal management.

Foliar application of ZnO nanoparticles at booting outperforms ZnSO₄ in direct-seeded rice, simultaneously raising polished grain Zn, spikelets per panicle and 1000-grain weight while lowering amylose and chalkiness. Transcriptomics links these gains to upregulated α-amylase genes (OsAmy1C, OsRAmy1A) and suppressed cytokinin-degrading OsCKX2, revealing a nano-specific transcriptional rewiring that breaks the yield–quality trade-off.

Chikungunya virus (CHIKV) infection lacks widely available antiviral therapies. In this study, researchers established a CHIKV replicon particle-based high-content screening platform and identified three antiviral compounds, MDL-12330A, bazedoxifene acetate, and anidulafungin. These compounds displayed distinct antiviral profiles by targeting different stages of the CHIKV life cycle, providing new insights into host–virus interactions and potential antiviral strategies.

Symptoms of coronavirus disease of 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), range from asymptomatic to life-threatening, affecting the respiratory system and many other organs, and involved in SARS-CoV-2 pathogenesis, particularly its viral entry, is the enzyme transmembrane protease serine 2 (TMPRSS2). In response, in this study, polymorphisms in the TMPRSS2 gene (rs2070788 and rs12329760) were examined for their association with COVID-19 susceptibility and severity in Jordanians. The study participants (n = 861) included 427 individuals who had never contracted COVID-19 (control group) and 434 who had experienced the disease (case group). The case group was subsequently divided into two subgroups: severe (n = 166) and non-severe (n = 268) COVID-19. The results show that rs2070788 is associated with disease susceptibility in all inheritance models (P < 0.05), as well as an association between rs12329760 and COVID-19 disease severity in both the dominant and over-dominant models (P < 0.05). Further, a higher body mass index (BMI) and older age were associated with disease severity (p < 0.05), though females were less likely to develop severe COVID-19 and to be hospitalized. In conclusion, polymorphisms in the TMPRSS2 gene may be considered a potential predictor of COVID-19 outcomes in the Jordanian population. The study findings could be used to manage similar viral infections in Jordan in the future.