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Infections caused by Enterobacterales producing New Delhi Metallo‐β‐lactamases (NDMs), Zn(II)‐dependent enzymes hydrolyzing carbapenems, are difficult to treat. Depriving Zn(II) to inactivate NDMs is an effective solution to reverse carbapenems resistance in NDMs‐producing bacteria. However, specific Zn(II) deprivation and better bacterial outer membrane penetrability in vivo are challenges. Herein, authors present a pathogen‐primed liposomal antibiotic booster (M‐MFL@MB), facilitating drugs transportation into bacteria and removing Zn(II) from NDMs. M‐MFL@MB introduces bismuth nanoclusters (BiNCs) as a storage tank of Bi(III) for achieving ROS‐initiated Zn(II) removal. Inspired by bacteria‐specific maltodextrin transport pathway, meropenem‐loaded BiNCs are camouflaged by maltodextrin‐cloaked membrane fusion liposome to cross the bacterial envelope barrier via selectively targeting bacteria and directly outer membrane fusion. This fusion disturbs bacterial membrane homeostasis, then triggers intracellular ROS amplification, which activates Bi(III)‐mediated Zn(II) replacement and meropenem release, realizing more precise and efficient NDMs producer treatment. Benefiting from specific bacteria‐targeting, adequate drugs intracellular accumulation and self‐activation Zn(II) replacement, M‐MFL@MB rescues all mice infected by NDM producer without systemic side effects. Additionally, M‐MFL@MB decreases the bacterial outer membrane vesicles secretion, slowing down NDMs producer's transmission by over 35 times. Taken together, liposomal antibiotic booster as an efficient and safe tool provides new strategy for tackling NDMs producer‐induced infections. [ABSTRACT FROM AUTHOR]

Sensor-based human activity recognition is now well developed, but there are still many challenges, such as insufficient accuracy in the identification of similar activities. To overcome this issue, we collect data during similar human activities using three-axis acceleration and gyroscope sensors. We developed a model capable of classifying similar activities of human behavior, and the effectiveness and generalization capabilities of this model are evaluated. Based on the standardization and normalization of data, we consider the inherent similarities of human activity behaviors by introducing the multi-layer classifier model. The first layer of the proposed model is a random forest model based on the XGBoost feature selection algorithm. In the second layer of this model, similar human activities are extracted by applying the kernel Fisher discriminant analysis (KFDA) with feature mapping. Then, the support vector machine (SVM) model is applied to classify similar human activities. Our model is experimentally evaluated, and it is also applied to four benchmark datasets: UCI DSA, UCI HAR, WISDM, and IM-WSHA. The experimental results demonstrate that the proposed approach achieves recognition accuracies of 97.69%, 97.92%, 98.12%, and 90.6%, indicating excellent recognition performance. Additionally, we performed K-fold cross-validation on the random forest model and utilized ROC curves for the SVM classifier to assess the model's generalization ability. The results indicate that our multi-layer classifier model exhibits robust generalization capabilities. [ABSTRACT FROM AUTHOR]

Under the background of a green, low carbon economy, it is significant to accurately estimate the future CO2 emissions of countries with significant CO2 emissions for developing the world's green economy. A new Nonlinear Grey Bernoulli and BP neural network combined model (BP-ONGBM (1,1) model) have been proposed to study the CO2 emissions of China, the USA, the European Union, India and Japan. Firstly, the Particle Swarm Optimization (PSO) algorithm is optimized using the Artificial Fish Swarm Algorithm (AFSA). Then, the background value of the ONGBM (1,1) model is dynamically optimized. Based on the linearization of the model, the time response function is derived. Then, the ONGBM (1,1) model is combined with the BP neural network model. An improved PSO algorithm determines the combined weight and the background value coefficient. Finally, according to the observation data from 2010 to 2021 in the Emissions Database for Global Atmospheric Research 2022, the model is established to calculate the CO2 emissions of the selected countries from 2022 to 2026 and compared with the prediction results provided by multiple competitive models. The empirical application shows that the proposed BP-ONGBM (1,1) model is significantly better than other competitive models. [ABSTRACT FROM AUTHOR]

We predicted a new ternary hydride Li 2 SiH 6 at high pressures. A systematic structure search in the Li 2 SiH 6 compound reveals novel stable phases with intriguing electronic and phonon properties. It is found that Li 2 SiH 6 is dynamically stable from ambient pressure up to 400 GPa with three novel phases: P312, P 3 ¯ , and P 6 ¯ 2m. The calculation of electron–phonon coupling combined with Bardeen–Cooper–Schrieffer's argument indicates that this compound may be a candidate for high T c superconductors under high pressures. In particular, the maximum T c of P 6 ¯ 2 m -Li 2 SiH 6 at 400 GPa reaches 56 K. Our findings further promoted the research on the superconductivity of hydrogen-rich compounds. [ABSTRACT FROM AUTHOR]

Background: Epidermal growth factor receptor (EGFR)‐mutated non‐small cell lung cancer (NSCLC) develops resistance to tyrosine kinase inhibitors (TKIs). Here, we evaluated the efficacy of radiotherapy and continuation of TKIs in patients with advanced NSCLC with oligoprogression after EGFR‐TKIs. Methods: From January 2011 to January 2019, 33 patients with EGFR‐mutated NSCLC on TKIs were treated by radiotherapy and continuation of TKIs for oligoprogressive disease. The primary endpoints were median progression‐free survival 1 (mPFS1), mPFS2, and median overall survival (mOS). PFS1 was measured from the start of EGFR‐TKIs therapy to the oligoprogression of the disease. PFS2 was measured from the date of oligoprogression to the further progression of the disease, while OS was calculated from oligoprogression to death from any cause or was censored at the last follow‐up date. Result: The mPFS1, mPFS2, and mOS were 11.0 (95% CI, 4.4–17.6), 6.5 (95% CI, 1.4–11.6) and 21.8 (95% CI, 14.8–28.8) months, respectively. Univariate analysis showed that EGFR mutation type (p = 0.024), radiotherapy method (p = 0.001), and performance status (p = 0.017) were significantly correlated with PFS2. Univariate analysis showed that sex (p = 0.038), smoking history (p = 0.031), EGFR mutation type (p = 0.012), and radiotherapy method (p = 0.009) were significantly correlated with OS. Multivariate analysis suggested that radiotherapy method (p = 0.001) and performance status (p = 0.048) were prognostic factors for PFS2, and radiotherapy method (p = 0.040) was a prognostic factor for OS. Conclusion: Radiotherapy with continued TKIs is effective for EGFR‐mutated NSCLC with oligoprogression, and it should be conducted as soon as possible. T790M+ patients have higher sensitivity to radiotherapy, and patients with good performance status and stereotactic body radiation therapy have better PFS2 and OS. Almost all EGFR mutation‐positive advanced NSCLC patients treated with TKI will progress. The definition of oligometastasis disease included ≤5 metastases with ≤3 organs involved, and all metastatic sites could be amenable to local radical treatment. Radiotherapy with continued TKIs is effective for EGFR‐mutated NSCLC with oligoprogression. [ABSTRACT FROM AUTHOR]

The clinical outcomes of programmed cell death protein‐1 (PD‐1)/programmed death ligand‐1 (PD‐L1) blockade are usually limited by the multiple immune evasion mechanism of the tumor, as well as the immune storm caused by "off‐target" effects of the PD‐1/PD‐L1 antibody. Here, a previously unknown strategy is proposed to synergize the "Ca2+ interference" mediated M2‐like tumor‐associated macrophages (TAM) re‐education and Ca2+‐activating locally PD‐L1 depletion for immunotherapy. The authors discover that calcium‐containing nanoparticles can induce significant "Ca2+ interference" effect and simultaneously reset TAM toward the M1 phenotype through activation of multiple inflammation‐related signaling pathways, as well as NLRP3 inflammasomes, and promoting in situ tumor‐associated antigen release. In addition, a circular aptamer‐DNAzyme conjugate (cAD) is designed with a tumor‐targeting ability and its catalytic shear activity can be specifically activated by Ca2+, which reduces potential autoimmune‐like disorders of PD‐L1 antibody. By simply integrating the ultra‐high pH‐sensitive calcium peroxide nanoparticles with cAD into one nanosystem, it is demonstrated that the nanosystem not only arrest primary tumor progression and lung metastasis but also provides a long‐term immunological memory, which can protect against tumor rechallenge. Therefore, this work provides an attractive strategy for boosting tumor immunotherapy. [ABSTRACT FROM AUTHOR]

Hydrogen-based, boron-based, and carbon-based compounds have been the focus of previous investigations in the process of searching for electron–phonon high temperature superconductors. In this paper, the exploration of superconductivity of the hole doping of metal covalent carbon–nitrogen compound MgCN2 within virtual-crystal approximation treatment is proposed based on first-principles calculations. For the hole-doped Mg0.9Li0.1CN2, the electron–phonon coupling strength λ and the superconducting transition temperature T C are predicted to be 0.66 and 14.4 K, respectively. This shows that the metal covalent carbon–nitrogen compound is a potential candidate for electron–phonon superconducting material. [ABSTRACT FROM AUTHOR]