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Objective Metro shield tunnel construction may cause surrounding land subsidence, affecting the surrounding environment. Traditional land subsidence prediction models are difficult to comprehensively consider the influencing factors of land subsidence. Therefore, in order to improve the prediction accuracy of land subsidence, the CNN(convolutional neural network)-LSTM(long-short-term memory) joint neural network is used to predict the land subsidence caused by shield tunnel construction. Method With the monitored land subsidence data of a metro section as the research object, CNN is used to connect the influencing parameters (including compressive modulus, cohesion, internal friction angle, Poisson′s ratio, soil thickness, tunnel buried depth, and construction parameters) and monitored land subsidence data. The LSTM neural network is used to analyze the land subsidence, and a land subsidence prediction model based on the CNN-LSTM joint neural network is established. Simultaneous consideration of the multiple factor influence on land subsidence prediction is explored. Result & Conclusion Using CNN has a good effect on extracting the parameter features related to land subsidence. The prediction accuracy of the established CNN-LSTM model is 3% higher than that of the LSTM model alone, and 9% higher than that of the traditional BP (back propagation) neural network model. The prediction accuracy of the established CNN-LSTM model reaches 93% when predicting the short time land subsidence in single measuring point, and the predicted value is in good agreement with the monitored value.

Cyclobutanes are popular structural units in bioactive compounds and versatile intermediates in synthetic chemistry, but their synthesis is challenging owing to high ring strain. In this study, a novel method for highly regio‐ and diastereoselective synthesis of fluoroalkylcyclobutanes bearing vicinal quaternary and tertiary stereocenters is realized by a photocatalytic 4‐exo‐trig cyclization cascade of thioalkynes or trifluoromethylalkenes. Density functional theory calculations reveal that a unique fluorine effect, arising from hyperconjugative π→σ*C‐F interactions, accounts for the regio‐reversed radical addition at the sterically hindered alkene carbon, which facilitates an unprecedented 4‐exo‐trig ring closure. This chemistry enables the direct and controllable construction of medicinally valuable quaternary‐carbon‐containing cyclobutanes from readily available raw materials, nicely complementing the existing methods. [ABSTRACT FROM AUTHOR]

Energy management strategy (EMS) is a key technology for plug‐in hybrid electric vehicles (PHEVs). The energy management of certain series–parallel PHEVs involves the control of continuous variables, such as engine torque, and discrete variables, such as clutch engagement/disengagement. Herein, a control‐oriented model is established for a series–parallel plug‐in hybrid system with clutch engagement control from the perspective of mixed‐integer programming. Subsequently, an EMS based on continuous‐discrete reinforcement learning (CDRL), which enables simultaneous output of continuous and discrete variables, is designed. During training, state‐of‐charge (SOC) randomization is introduced to ensure that the hybrid system exhibits optimal energy‐saving performance in both high and low SOC. Finally, the effectiveness of the proposed CDRL strategy is verified by comparing EMS based on charge‐depleting charge‐sustaining (CD‐CS) with rule‐based clutch engagement control and dynamic programming (DP). In the simulation results, it is shown that, under a high SOC, the CDRL strategy proposed in this article can improve energy efficiency by 8.3% compared to CD‐CS, and the energy consumption is just 6.6% higher than the global optimum based on DP, while under a low SOC, the numbers are 4.1% and 3.9%, respectively. [ABSTRACT FROM AUTHOR]

Reinforcement learning has shown success in solving complex control problems, yet safety remains paramount in engineering applications like energy management systems (EMS), particularly in hybrid electric vehicles (HEVs). An effective EMS is crucial for coordinating power flow while ensuring safety, such as maintaining the battery state of charge within safe limits, which presents a challenging task. Traditional reinforcement learning struggles with safety constraints, and the penalty method often leads to suboptimal performance. This study introduces Lagrangian-based parameterized soft actor–critic (PASACLag), a novel safe hybrid-action reinforcement learning algorithm for HEV energy management. PASACLag utilizes a unique composite action representation to handle continuous actions (e.g., engine torque) and discrete actions (e.g., gear shift and clutch engagement) concurrently. It integrates a Lagrangian method to separately address control objectives and constraints, simplifying the reward function and enhancing safety. We evaluate PASACLag's performance using the World Harmonized Vehicle Cycle (901 s), with a generalization analysis of four different cycles. The results indicate that PASACLag achieves a less than 10% increase in fuel consumption compared to dynamic programming. Moreover, PASACLag surpasses PASAC, an unsafe counterpart using penalty methods, in fuel economy and constraint satisfaction metrics during generalization. These findings highlight PASACLag's effectiveness in acquiring complex EMS for control within a hybrid action space while prioritizing safety. [ABSTRACT FROM AUTHOR]

In vitro and in vivo models play integral roles in preclinical drug research, evaluation, and precision medicine. In vitro models primarily involve research platforms based on cultured cells, typically in the form of two‐dimensional (2D) cell models. However, notable disparities exist between 2D cultured cells and in vivo cells across various aspects, rendering the former inadequate for replicating the physiologically relevant functions of human or animal organs and tissues. Consequently, these models failed to accurately reflect real‐life scenarios post‐drug administration. Complex in vitro models (CIVMs) refer to in vitro models that integrate a multicellular environment and a three‐dimensional structure using bio‐polymer or tissue‐derived matrices. These models seek to reconstruct the organ‐ or tissue‐specific characteristics of the extracellular microenvironment. The utilization of CIVMs allows for enhanced physiological correlation of cultured cells, thereby better mimicking in vivo conditions without ethical concerns associated with animal experimentation. Consequently, CIVMs have gained prominence in disease research and drug development. This review aimed to comprehensively examine and analyze the various types, manufacturing techniques, and applications of CIVM in the domains of drug discovery, drug development, and precision medicine. The objective of this study was to provide a comprehensive understanding of the progress made in CIVMs and their potential future use in these fields. [ABSTRACT FROM AUTHOR]

Although some simple and rapid colorimetric methods have been developed to detect organophosphorus pesticides (OPs), the difficult extraction and easy denaturation of acetylcholinesterase (AChE) are still drawbacks needing to be overcome. Here, we propose a MOF nanozyme-mediated AChE-free colorimetric strategy for the direct detection of OPs. In the presence of OPs (pirimiphos-methyl as a model), the intense blue of oxidized 3,3′,5,5′-tetramethylbenzidine (TMB) becomes light due to the quenching effect of OPs towards hydroxyl radicals (˙OH) that are generated by the decomposition of H2O2 catalyzed by the Cu4Co6 ZIF nanozyme with excellent peroxidase (POD)-like activity. The developed colorimetric sensor exhibits assay performance and offers a universal and promising analysis strategy for detecting OPs in practical samples. [ABSTRACT FROM AUTHOR]

Cyclobutanes are popular structural units in bioactive compounds and versatile intermediates in synthetic chemistry, but their synthesis is challenging owing to high ring strain. In this study, a novel method for highly regio- and diastereoselective synthesis of fluoroalkylcyclobutanes bearing vicinal quaternary and tertiary stereocenters is realized by a photocatalytic 4-exo-trig cyclization cascade of thioalkynes or trifluoromethylalkenes. Density functional theory calculations reveal that a unique fluorine effect, arising from hyperconjugative π→σ* C-F interactions, accounts for the regio-reversed radical addition at the sterically hindered alkene carbon, which facilitates an unprecedented 4-exo-trig ring closure. This chemistry enables the direct and controllable construction of medicinally valuable quaternary-carbon-containing cyclobutanes from readily available raw materials, nicely complementing the existing methods., (© 2024 Wiley-VCH GmbH.)

Coffee is a globally consumed commodity of substantial commercial significance. In this study, we constructed a fluorescent sensor array based on two types of polymer templated silver nanoclusters (AgNCs) for the detection of organic acids and coffees. The nanoclusters exhibited different interactions with organic acids and generated unique fluorescence response patterns. By employing principal component analysis (PCA) and random forest (RF) algorithms, the sensor array exhibited good qualitative and quantitative capabilities for organic acids. Then the sensor array was used to distinguish coffees with different processing methods or roast degrees and the recognition accuracy achieved 100%. It could also successfully identify 40 coffee samples from 12 geographical origins. Moreover, it demonstrated another satisfactory performance for the classification of pure coffee samples with their binary and ternary mixtures or other beverages. In summary, we present a novel method for detecting and identifying multiple coffees, which has considerable potential in applications such as quality control and identification of fake blended coffees., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Bladder cancer stands as one of the prevalent malignancies in urological clinics, highlighting the pressing need to uncover prognostic or therapeutic avenues. ITM2A, a transmembrane protein, has been identified as a suppressor in tumor progression recently. Our study underscored a significant correlation between low ITM2A expression in bladder cancer tissues and high tumor grade, AJCC stage, and poor overall survival time. Additionally, our findings demonstrated that reinstating ITM2A expression impeded cell proliferation, migration, and invasion, while conversely, its suppression enhanced these malignant behaviors. Furthermore, we elucidated that ITM2A could suppress malignant phenotypes of bladder cancer cells via inhibiting activation of the STAT3 induced by IL-6. In conclusion, our research unveiled the mechanistic role of ITM2A in inhibiting tumor progression, shedding light on its potential as a prognostic predictor and therapeutic target in bladder cancer management., Competing Interests: None., (AJCR Copyright © 2024.)

Since its first discovery, long noncoding RNA Linc00673 has been linked to carcinogenesis and metastasis of various human cancers. Linc00673 had five transcriptional isoforms and their biological functions remained to be explored. Here we have reported that Linc00673-V3, one of the isoforms of Linc00673, promoted non-small cell lung cancer chemoresistance, and increased Linc00673-V3 expression level was associated with enhanced autophagy. Mechanistically, we discerned the existence of a stem-loop configuration engendered by the 1-100-nt and 2200-2275-nt fragments within Linc00673-V3. This structure inherently interacted with Smad3, thereby impeding its ubiquitination and subsequent degradation orchestrated by E3 ligase STUB1. The accumulation of Smad3 contributed to autophagy via up-regulation of LC3B transcription and ultimately conferred chemoresistance in NSCLC. Our results revealed a novel transcriptional regulation network between Linc00673-V3, Smad3, and LC3B , which provided an important insight into the interplay between autophagy regulation and non-canonical function of Smad3. Furthermore, the results from in vivo experiments suggested Linc00673-V3 targeted antisense oligonucleotide as a promising therapeutic strategy to overcome chemotherapy resistance in NSCLC., (© 2024 Ni et al.)

Background: Non-small cell lung cancer (NSCLC) patients with extrathoracic metastasis (EM) are a highly heterogeneous cohort. Some of these patients could benefit from primary tumor surgery. This study aimed to identify potential NSCLC patients with EM suitable for primary tumor resection and to determine the optimal therapeutic strategy., Methods: NSCLC patients with EM were extracted from the Surveillance, Epidemiology and End Results database between 2010 and 2015. They were stratified into subgroups with single and multi-EMs. Cox regression analysis was adopted to identify prognostic factors for overall survival (OS). The Kaplan-Meier method was used to compare the OS among patients who received different treatment modalities., Results: The univariate Cox regression analysis demonstrated that advanced age, male sex, race (black), married status, squamous cell carcinoma, higher histological grade, advanced T or N stage, contralateral lung metastasis, multi-EMs, tumor size >2 cm, and lack of treatment were associated with poorer OS in patients with NSCLC (P<0.05). Multivariate Cox regression analysis revealed that the number of EM and treatment modalities were independent prognostic factors affecting OS (P<0.001). For patients with single EM, those who did not receive treatment and those who underwent single-agent chemotherapy, single-agent surgery, surgery combined with chemotherapy, surgery combined with radiotherapy, or surgery combined with chemoradiotherapy had median OS times of 3.0, 11.0, 12.0, 26.0, 11.0, and 25.0 months, respectively. Compared to monotherapy, combination therapy showed significant benefits for patients with single EM in NSCLC. Furthermore, patients with single EM who underwent lobectomy, bilobectomy, or pneumonectomy had significantly longer survival than those who underwent sublobar resection, even when the primary tumor size was ≤2 cm (P=0.04)., Conclusions: Primary tumor surgery could benefit NSCLC patients with single EM; lobectomy was at least warranted to improve survival even for primary tumors with size ≤2 cm., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-516/coif). The authors have no conflicts of interest to declare., (2024 Journal of Thoracic Disease. All rights reserved.)