Immunogenomic features of radiologically distinctive nodules in multiple primary lung cancer.

OBJECTIVES: To provide molecular and immunological attributes mechanistic insights for the management of radiologically distinctive multiple primary lung cancer (MPLC). METHODS: The Bulk RNA-seq data of MPLC were obtained from our center. The Bulk RNA-seq data and CT images of patients with single primary lung cancer (SPLC) were obtained from GSE103584. Immune infiltration algorithms were performed to investigate the disparities in the immunological microenvironment between the two groups. Single-cell gene analysis was used to explore immune cells composition and communication relationships between cells in MPLC. RESULTS: In MPLC, 11 pure ground-glass opacity nodules (pGGN) and 10 mixed GGN (mGGN) were identified, while in SPLC, the numbers were 18 pGGN and 22 mGGN, respectively. In MPLC, compared to pGGN, mGGN demonstrated a significantly elevated infiltration of CD8+ T cells. Single-cell gene analysis demonstrated that CD8+ T cells play a central role in the signaling among immune cells in MPLC. The transcription factors including MAFG, RUNX3, and TBX21 may play pivotal roles in regulation of CD8+ T cells. Notably, compared to SPLC nodules for both mGGN and pGGN, MPLC nodules demonstrated a significantly elevated degree of tumor-infiltrating immune cells, with this difference being particularly pronounced in mGGN. There was a positive correlation between the proportion of immune cells and consolidation/tumor ratio (CTR). CONCLUSIONS: Our findings provided a comprehensive description about the difference in the immune microenvironment between pGGN and mGGN in early-stage MPLC, as well as between MPLC and SPLC for both mGGN and pGGN. The findings may provide evidence for the design of immunotherapeutic strategies for MPLC.

Immunotherapy for colorectal cancer.

Colorectal cancer is the third most common cancer and the second most lethal cancer in the world. The main cause of the disease is due to dietary and behavioral factors. The treatment of this complex disease is mainly based on traditional treatments, including surgery, radiotherapy, and chemotherapy. Due to its high prevalence and high morbidity, more effective treatments with fewer side effects are urgently needed. In recent years, immunotherapy has become a potential therapeutic alternative and one of the fastest-developing treatments. Immunotherapy inhibits tumor growth by activating or enhancing the immune system to recognize and attack cancer cells. This review presents the latest immunotherapies for immune checkpoint inhibitors, cell therapy, tumor-infiltrating lymphocytes, and oncolytic viruses. Some of these have shown promising results in clinical trials and are used in clinical treatment.

Nanoneedle Array-Electroporation Facilitates Intranuclear Ribonucleoprotein Delivery and High Throughput Gene Editing.

Dendritic cells (DCs) are critical regulators of T cell immunity, with immense therapeutic potential against tumors and autoimmune diseases. Efficient gene editing in DCs is crucial for understanding their regulatory mechanisms and maximizing their therapeutic efficacy. However, DCs are notoriously difficult to transfect, posing a major bottleneck for conventional DNA and RNA-based editing approaches. Microneedle-mediated injection of Cas9/sgRNA ribonucleoprotein (RNP) directly into the nucleus, akin to gene editing in reproductive cells, offers promise but suffers from limitations in scalability. Here, an intranuclear delivery system using a hollow nanoneedle array (HNA) combined with nano-electroporation is developed. The 2 µm-high HNA physically reaches the nucleus, positioning the nuclear envelope and plasma membrane in close proximity at the tip. Transient electronic pulses then induce simultaneous perforations across all 3 membranes, enabling direct RNP delivery into the nucleus. This HNA-based system achieves efficient knockout of genes like PD-L1 in primary DCs, demonstrating its potential as a powerful tool for gene editing in DCs and other hard-to-transfect cells.

Human umbilical cord mesenchymal stem cells derived extracellular vesicles ameliorate kidney ischemia-reperfusion injury by suppression of senescent tubular epithelial cells - Experimental Study.

BACKGROUND: Human umbilical cord mesenchymal stem cells derived extracellular vesicles (HUMSC-EVs) have drawn much interest in kidney transplantation, mainly because of their renoprotection by alleviating cell injury and stimulating tissue repair. Cellular senescence has been proven to play a dual regulatory role in kidney ischemia-reperfusion injury (IRI), and the regulation of HUMSC-EVs on tubular epithelial cell senescence may be a potential therapeutic target. MATERIALS AND METHODS: In vitro, the hypoxia-reoxygenation of human kidney-2 cells was used to simulate kidney IRI, and the regulation of HUMSC-EVs on human kidney-2 cells was detected. Transcriptome sequencing of human kidney-2 cells was used to explore the potential regulatory mechanism. In vivo, adult male mice were divided into five groups: control group, IRI group, HUMSC-EVs treatment group, senolytics treatment group (dasatinib + quercetin), and combined treatments group (HUMSC-EVs and senolytics). Kidney function, senescent features of tubular epithelial cells, acute kidney injury, and chronic interstitial fibrosis in mice were detected to explore the renoprotection effects of HUMSC-EVs. RESULTS: Kidney IRI significantly up-regulated expressions of LaminB1, p53, p21, p16, senescence-associated beta-galactosidase, and apoptosis of tubular epithelial cells. In the mouse kidney IRI model, kidney subcapsular injection of HUMSC-EVs significantly improved kidney function, reducing the senescent features of tubular epithelial cells and alleviating acute kidney injury and chronic interstitial fibrosis. HUMSC-EVs mainly achieved renoprotection by regulating Bax/Bcl-2-dependent apoptosis during acute kidney injury and mostly reduced tubular atrophy and kidney interstitial fibrosis by regulating Ras-pERK-Ets1-p53 pathway-dependent cell senescence. Oral administration of senolytics also alleviated kidney injury induced by IRI, while the combined treatments of HUMSC-EVs and senolytics had better renoprotection effects. CONCLUSIONS: The combination of HUMSC-EVs and senolytics alleviated acute kidney injury and chronic interstitial fibrosis by dynamic regulation of cell senescence and apoptosis, which provides a therapeutic potential strategy for organ preservation and tissue repair in kidney transplantation.

Psychosocial functioning and its influencing factors in patients with depression post-remission: Implications for assessment and interventions.

BACKGROUND: Enhancing psychosocial functioning is crucial for reducing relapse in depression, but methods for monitoring and recovery are unclear. METHOD: A 1-year follow-up study assessed psychosocial functioning in 182 patients with remitted depression at baseline (T0) as well as at 1, 2, 6, 9, and 12 months post-remission (T1-T5). Using generalized estimating equations (GEE) and multiple linear regression (MLR), we analyzed the impact of changes in psychosocial functioning on relapse/recurrence risk, and assessed the influence of various factors. RESULTS: An increase in psychosocial functioning significantly lowered relapse/recurrence odds by 54.2 %, averaging a risk reduction of 3.1 %. GEE analyses indicated subjective depressive symptoms (ß = -0.315) most significantly impacted psychosocial functioning, followed by social support (ß = 0.236), positive coping (ß = 0.225), and negative automatic thoughts (ß = -0.183). Negative coping and expressed emotion exhibited non-significant effects. MLR revealed that the impact of negative automatic thoughts was most significant at initial remission, but the relative importance of residual subjective depressive symptoms, positive coping, and social support on psychosocial functioning remained stable over time. LIMITATIONS: Predetermined follow-up assessments may not fully capture psychosocial functioning at relapse/recurrence, and the inclusion of factors might not be sufficiently comprehensive. CONCLUSIONS: Recovery of psychosocial functioning significantly reduces relapse risk in post-remission patients with depression more than residual subjective depressive symptoms. The degree of influence of factors on psychosocial functioning can change with the length of remission time.

CHIKV infection drives shifts in the gastrointestinal microbiome and metabolites in rhesus monkeys.

BACKGROUND: Many studies have demonstrated the association between intestinal microbiota and joint diseases. The "gut-joint axis" also has potential roles in chikungunya virus (CHIKV) infection. Pro-inflammatory arthritis after CHIKV infection might disrupt host homeostasis and lead to dysbacteriosis. This study investigated the characteristics of fecal and gut microbiota, intestinal metabolites, and the changes in gene regulation of intestinal tissues after CHIKV infection using multi-omics analysis to explore the involvement of gut microbiota in the pathogenesis of CHIKV infection. RESULTS: CHIKV infection increases the systemic burden of inflammation in the GI system of infected animals. Moreover, infection-induced alterations in GI microbiota and metabolites may be indirectly involved in the modulation of GI and bone inflammation after CHIKV infection, including the modulation of inflammasomes and interleukin-17 inflammatory cytokine levels. CONCLUSION: Our results suggest that the GI tract and its microbes are involved in the modulation of CHIKV infection, which could serve as an indicator for the adjuvant treatment of CHIKV infection. Video Abstract.

Endoprotein-activating DNAzyme assay for nucleic acid extraction- and amplification-free detection of viable pathogenic bacteria.

Pathogenic bacteria in food or environment, can pose threats to public health, highlighting the requirement of tools for rapid and accurate detection of viable pathogenic bacteria. Herein, we report a sequential endoprotein RNase H2-activating DNAzyme assay (termed epDNAzyme) that enables nucleic acid extraction- and amplification-free detection of viable Salmonella enterica (S. enterica). The direct detection allows for a rapid detection of viable S. enterica within 25 min. Besides, the assay, based on sequential reporting strategy, circumvents internal modifications in the DNAzyme's active domain and improve its catalytic activity. The multiple-turnover DNAzyme cutting and the enhanced catalytic activity of DNAzyme render the epDNAzyme assay to be highly sensitive, and enables the detection of 190 CFU/mL and 0.1% viable S. enterica. The assay has been utilized to detect S. enterica contamination in food and clinical samples, indicating its potential as a promising tool for monitoring pathogen-associated biosafety.

Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning.

Recently, multi-modal vision-language foundation models have gained significant attention in the medical field. While these models offer great opportunities, they still face crucial challenges, such as the requirement for fine-grained knowledge understanding in computer-aided diagnosis and the capability of utilizing very limited or even no task-specific labeled data in real-world clinical applications. In this study, we present MaCo, a masked contrastive chest X-ray foundation model that tackles these challenges. MaCo explores masked contrastive learning to simultaneously achieve fine-grained image understanding and zero-shot learning for a variety of medical imaging tasks. It designs a correlation weighting mechanism to adjust the correlation between masked chest X-ray image patches and their corresponding reports, thereby enhancing the model's representation learning capabilities. To evaluate the performance of MaCo, we conducted extensive experiments using 6 well-known open-source X-ray datasets. The experimental results demonstrate the superiority of MaCo over 10 state-of-the-art approaches across tasks such as classification, segmentation, detection, and phrase grounding. These findings highlight the significant potential of MaCo in advancing a wide range of medical image analysis tasks.

Construction of an IFNAR1 knockout MDBK cell line using CRISPR/Cas9 and its effect on bovine virus replication.

The type I interferon (IFN) pathway is important for eukaryotic cells to resist viral infection, as well as an impediment to efficient virus replication. Therefore, this study aims to create an IFNAR1 knockout (KO) Madin-Darby bovine kidney (MDBK) cell line using CRISPR/Cas9 and investigate its application and potential mechanism in increasing viral replication of bovines. The IFNAR1 KO cells showed increased titers of bovine viral diarrhea virus (BVDV) (1.5 log10), with bovine enterovirus and bovine parainfluenza virus type 3 (0.5-0.8 log10). RNA-seq revealed reduced expression of the genes related IFN-I pathways including IFNAR1, STAT3, IRF9, and SOCS3 in IFNAR1 KO cells compared with WT cells. In WT cells, 306 differentially expressed genes (DEGs) were identified between BVDV-infected and -uninfected cells. Of these, 128 up- and 178 down-regulated genes were mainly associated with growth cycle and biosynthesis, respectively. In IFNAR1 KO cells, 286 DEGs were identified, with 82 up-regulated genes were associated with signaling pathways, and 204 down-regulated genes. Further, 92 DEGs were overlapped between WT and IFNAR1 KO cells including ESM1, IL13RA2, and SLC25A34. Unique DEGs in WT cells were related to inflammation and immune regulation, whereas those unique in IFNAR1 KO cells involved in cell cycle regulation through pathways such as MAPK. Knocking down SLC25A34 and IL13RA2 in IFNAR1 KO cells increased BVDV replication by 0.3 log10 and 0.4 log10, respectively. Additionally, we constructed an IFNAR1/IFNAR2 double-knockout MDBK cell line, which further increased BVDV viral titers compared with IFNAR1 KO cells (0.6 log10). Overall, the IFNAR1 KO MDBK cell line can support better replication of bovine viruses and therefore provides a valuable tool for bovine virus research on viral pathogenesis and host innate immune response.

Short-Term Precipitation Radar Echo Extrapolation Method Based on the MS-DD3D-RSTN Network and STLoss Function.

Short-term precipitation forecasting is essential for agriculture, transportation, urban management, and tourism. The radar echo extrapolation method is widely used in precipitation forecasting. To address issues like forecast degradation, insufficient capture of spatiotemporal dependencies, and low accuracy in radar echo extrapolation, we propose a new model: MS-DD3D-RSTN. This model employs spatiotemporal convolutional blocks (STCBs) as spatiotemporal feature extractors and uses the spatial-temporal loss (STLoss) function to learn intra-frame and inter-frame changes for end-to-end training, thereby capturing the spatiotemporal dependencies in radar echo signals. Experiments on the Sichuan dataset and the HKO-7 dataset show that the proposed model outperforms advanced models in terms of CSI and POD evaluation metrics. For 2 h forecasts with 20 dBZ and 30 dBZ reflectivity thresholds, the CSI metrics reached 0.538, 0.386, 0.485, and 0.198, respectively, representing the best levels among existing methods. The experiments demonstrate that the MS-DD3D-RSTN model enhances the ability to capture spatiotemporal dependencies, mitigates forecast degradation, and further improves radar echo prediction performance.

Bioactive Naphthoquinone and Phenazine Analogs from the Endophytic Streptomyces sp. PH9030 as α-Glucosidase Inhibitors.

A talented endophytic Streptomyces sp. PH9030 is derived from the medicinal plant Kadsura coccinea (Lem.) A.C. Smith. The undescribed naphthoquinone naphthgeranine G (5) and seven previously identified compounds, 6-12, were obtained from Streptomyces sp. PH9030. The structure of 5 was identified by comprehensive examination of its HRESIMS, 1D NMR, 2D NMR and ECD data. The inhibitory activities of all the compounds toward α-glucosidase and their antibacterial properties were investigated. The α-glucosidase inhibitory activities of 5, 6, 7 and 9 were reported for the first time, with IC50 values ranging from 66.4 ± 6.7 to 185.9 ± 0.2 µM, as compared with acarbose (IC50 = 671.5 ± 0.2 µM). The molecular docking and molecular dynamics analysis of 5 with α-glucosidase further indicated that it may have a good binding ability with α-glucosidase. Both 9 and 12 exhibited moderate antibacterial activity against methicillin-resistant Staphylococcus aureus, with minimum inhibitory concentration (MIC) values of 16 µg/mL. These results indicate that 5, together with the naphthoquinone scaffold, has the potential to be further developed as a possible inhibitor of α-glucosidase.

Prenatal heavy metal exposure and pediatric asthma, allergic rhinitis, atopic dermatitis: a systematic review and meta-analysis.

OBJECTIVE: We review the prevalence of allergic diseases in children across prenatal exposures to heavy metals. METHODS: This systematic review and meta-analysis is registered in the PROSPERO database (CRD42023478471). A comprehensive search of PubMed, Web of Science, Medline and Cochrane library was conducted from the database inception until 31 October 2023. The Newcastle-Ottawa Quality Assessment Scale (NOS) was used to assess the quality of included studies. We used a random-effects model to summarize the effects from the studies. RESULTS: A total of 16 studies were included, 120,065 mother-child pairs enrolled. The NOS scores indicated that the quality of the literature included in the study was of a high standard. CONCLUSION: The final results indicate that prenatal exposure to Pb increased the incidence of wheeze and Eczema in infants, and exposure to Ni and CD increased the incidence of AD in infants.

Copper-promoted ortho-directed C-H amination of 2-arylpyridines with NH-heterocycles.

Copper-mediated C-N coupling of azaheterocycles with aryl C-H bonds has been realized for the synthesis of N-(hetero)arylated heteroarenes. This method is characterized by high regioselectivity, atom economy and a wide substrate scope of 2-arylazines and azaheterocycles. The corresponding C-N coupling products were shown to undergo further transformation to synthesize more complex molecules.

Analysis of vascular thrombus and clinicopathological factors in prognosis of gastric cancer: A retrospective cohort study.

BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors in the world, and its prognosis is closely related to many factors. In recent years, the incidence of vascular thrombosis in patients with GC has gradually attracted increasing attention, and studies have shown that it may have a significant impact on the survival rate and prognosis of patients. However, the specific mechanism underlying the association between vascular thrombosis and the prognosis of patients with GC remains unclear. AIM: To analyze the relationships between vascular cancer support and other clinicopathological factors and their influence on the prognosis of patients with GC. METHODS: This study retrospectively analyzed the clinicopathological data of 621 patients with GC and divided them into a positive group and a negative group according to the presence or absence of a vascular thrombus. The difference in the 5-year cumulative survival rate between the two groups was compared, and the relationships between vascular cancer thrombus and other clinicopathological factors and their influence on the prognosis of patients with GC were analyzed. RESULTS: Among 621 patients with GC, the incidence of vascular thrombi was 31.7% (197 patients). Binary logistic regression analysis revealed that the degree of tumor differentiation, depth of invasion, and extent of lymph node metastasis were independent influencing factors for the occurrence of vascular thrombi in GC patients (P < 0.01). The trend of the χ 2 test showed that the degree of differentiation, depth of invasion, and extent of lymph node metastasis were linearly correlated with the percentage of vascular thrombi in GC patients (P < 0.01), and the correlation between lymph node metastasis and vascular thrombi was more significant (r = 0.387). Univariate analysis revealed that the 5-year cumulative survival rate of the positive group was significantly lower than that of the negative group (46.7% vs 73.3%, P < 0.01). Multivariate analysis revealed that age, tumor diameter, TNM stage, and vascular thrombus were independent risk factors for the prognosis of GC patients (all P < 0.05). Further stratified analysis revealed that the 5-year cumulative survival rate of stage III GC patients in the thrombolase-positive group was significantly lower than that in the thrombolase-negative group (36.1% vs 51.4%; P < 0.05). CONCLUSION: Vascular cancer status is an independent risk factor affecting the prognosis of patients with GC. The combination of vascular cancer suppositories and TNM staging can better judge the prognosis of patients with GC and guide more reasonable treatment.

DiffPROTACs is a deep learning-based generator for proteolysis targeting chimeras.

PROteolysis TArgeting Chimeras (PROTACs) has recently emerged as a promising technology. However, the design of rational PROTACs, especially the linker component, remains challenging due to the absence of structure-activity relationships and experimental data. Leveraging the structural characteristics of PROTACs, fragment-based drug design (FBDD) provides a feasible approach for PROTAC research. Concurrently, artificial intelligence-generated content has attracted considerable attention, with diffusion models and Transformers emerging as indispensable tools in this field. In response, we present a new diffusion model, DiffPROTACs, harnessing the power of Transformers to learn and generate new PROTAC linkers based on given ligands. To introduce the essential inductive biases required for molecular generation, we propose the O(3) equivariant graph Transformer module, which augments Transformers with graph neural networks (GNNs), using Transformers to update nodes and GNNs to update the coordinates of PROTAC atoms. DiffPROTACs effectively competes with existing models and achieves comparable performance on two traditional FBDD datasets, ZINC and GEOM. To differentiate the molecular characteristics between PROTACs and traditional small molecules, we fine-tuned the model on our self-built PROTACs dataset, achieving a 93.86% validity rate for generated PROTACs. Additionally, we provide a generated PROTAC database for further research, which can be accessed at https://bailab.siais.shanghaitech.edu.cn/service/DiffPROTACs-generated.tgz. The corresponding code is available at https://github.com/Fenglei104/DiffPROTACs and the server is at https://bailab.siais.shanghaitech.edu.cn/services/diffprotacs.

Branched Oligomer-Based Reversible Adhesives Enabled by Controllable Self-Aggregation.

Supramolecular adhesion material systems based on small molecules have shown great potential to unite the great contradiction between strong adhesion and reversibility. However, these material systems suffer from low adhesion strength/narrow adhesion span, limited designability, and single interaction due to fewer covalent bond content and action sites in small molecules. Herein, an ultrahigh-strength and large-span reversible adhesive enabled by a branched oligomer controllable self-aggregation strategy is developed. The dense covalent bonds present in the branched oligomers greatly enhance adhesion strength without compromising reversibility. The resulting adhesive exhibits a large-span reversible adhesion of ≈140 times, switching between ultra-strong and tough adhesion strength (5.58 MPa and 5093.92 N m-1) and ultralow adhesion (0.04 MPa and 87.656 N m-1) with alternating temperature. Moreover, reversible dynamic double cross-linking endows the adhesive with stable reversible adhesion transitions even after 100 cycles. This reversible adhesion property can also be remotely controlled via a voltage of 8 V, with a loading voltage duration of 45 s. This work paves the way for the design of reversible adhesives with long-span outstanding properties using covalent polymers and offers a pathway for the rational design of high-performance adhesives featuring both robust toughness and exceptional reversibility.

[Changes and clinical significance of NLRP3 inflammasomes and related factors in patients with spinal fracture complicated with acute spinal cord injury].

OBJECTIVE: To investigate the changes and clinical significance of NOD like receptor protein 3 (NLRP3) inflammasomes and related factors in patients with spinal fractures complicated with acute spinal cord injury (SCI). METHODS: Eighty-six spinal fracture patients complicated with acute SCI admitted to hospital from June 2019 to March 2022 were selected as SCI group, There were 48 males and 38 females, with an average age of (43.48±6.58) years old. And 100 healthy volunteers who underwent physical examination during the same time were selected as control group, including 56 males patients and 44 females patients, with an average age of (45.13±6.43) years old. Peripheral blood mononuclear cell (PBMC) were collected, and the mRNA expressions of NLRP3 and Caspase-1 were detected. Serum was collected and the levels of interleukin (IL)- 1ß, IL-18 were detected. According to Frankel's grade, the SCI group was divided into complete injury patients and incomplete injury patients, and according to the Japanese Orthopedic Society (JOA) grade, the SCI group was divided into good prognosis group and poor prognosis group. The difference of NLRP3, Caspase-1, IL-1ß, IL-18 among groups were compared, the influencing factors for poor prognosis in SCI patients was analyzed by Logistic regression. RESULTS: The mRNA expression levels of NLRP3 (1.41±0.33) and Caspase-1 (1.44±0.35) in PBMC and the levels of IL-1ß(45.34±13.22) pg·ml-1, IL-18(40.95±8.77) pg·ml-1 in serum of SCI group were higher than those of the control group[(1.00±0.19), (1.00±0.16), (16.58±4.24) pg·ml-1, (12.57±3.68) pg·ml-1] (P<0.05). The mRNA expression levels of NLRP3(1.63±0.34) and Caspase-1 (1.67±0.27) in PBMC and the levels of IL-1ß(51.09±11.10) pg·ml-1, IL-18 (47.65±7.93) pg·ml-1 in serum of patients with complete injury in the SCI group were higher than those of patients with incomplete injury [(1.31±0.27), (1.34±0.33), (42.85±13.36) pg·ml-1, (38.05±7.48) pg·ml-1](P<0.05). The mRNA expression levels of NLRP3 (1.66±0.31) and Caspase-1 (1.72±0.31)in PBMC and the levels of IL-1ß(51.21±11.31) pg·ml-1, IL-18 (45.70±7.25) pg·ml-1 in serum, the proportion of complete injury(21 patients), and the proportion of spinal cord edema or bleeding of patients(15 patients) with poor prognosis in the SCI group were higher than those of patients with good prognosis[(1.28±0.26), (1.37±0.36), (42.79±13.25) pg·ml-1、(38.90±8.63) pg·ml-1, 5、20 cases](P<0.05). Complete injury and the mRNA expression of NLRP3 in PBMC were the influencing factors for poor prognosis in the SCI group (P<0.05). CONCLUSION: The activation of NLRP3 inflammasomes in patients with spinal fractures complicated with acute SCI is associated with worsening injury and poor prognosis, and NLRP3 expression can serve as a marker for evaluating prognosis.

Symmetric spatiotemporal learning network with sparse meter graph for short-term energy-consumption prediction in manufacturing systems.

Short-term energy-consumption prediction is the basis of anomaly detection, real-time scheduling, and energy-saving control in manufacturing systems. Most existing methods focus on single-node energy-consumption prediction and suffer from difficult parameter collection and modelling. Although several methods have been presented for multinode energy-consumption prediction, their prediction performance needs to be improved owing to a lack of appropriate knowledge guidance and learning networks for complex spatiotemporal relationships. This study presents a symmetric spatiotemporal learning network (SSTLN) with a sparse meter graph (SMG) (SSTLN-SMG) that aims to predict multiple nodes based on energy-consumption time series and general process knowledge. The SMG expresses process knowledge by abstracting production nodes, material flows, and energy usage, and provides initial guidance for the SSTLN to extract spatial features. SSTLN, a symmetrical stack of graph convolutional networks (GCN) and gated linear units (GLU), is devised to achieve a trade-off not only between spatial and temporal feature extraction but also between detail capture and noise suppression. Extensive experiments were performed using datasets from an aluminium profile plant. The experimental results demonstrate that the proposed method allows multinode energy-consumption prediction with less prediction error than state-of-the-art methods, methods with deformed meter graphs, and methods with deformed learning networks.

Shape-persistent ladder molecules exhibit nanogap-independent conductance in single-molecule junctions.

Molecular electronic devices require precise control over the flow of current in single molecules. However, the electron transport properties of single molecules critically depend on dynamic molecular conformations in nanoscale junctions. Here we report a unique strategy for controlling molecular conductance using shape-persistent molecules. Chemically diverse, charged ladder molecules, synthesized via a one-pot multicomponent ladderization strategy, show a molecular conductance (d[log(G/G0)]/dx ≈ -0.1 nm-1) that is nearly independent of junction displacement, in stark contrast to the nanogap-dependent conductance (d[log(G/G0)]/dx ≈ -7 nm-1) observed for non-ladder analogues. Ladder molecules show an unusually narrow distribution of molecular conductance during dynamic junction displacement, which is attributed to the shape-persistent backbone and restricted rotation of terminal anchor groups. These principles are further extended to a butterfly-like molecule, thereby demonstrating the strategy's generality for achieving gap-independent conductance. Overall, our work provides important avenues for controlling molecular conductance using shape-persistent molecules.

Cation Enrichment Promotes High-rate CO Electroreduction to C2+ Liquid Products.

Electrochemical reduction of CO into valuable multicarbon (C2+) liquids is crucial for reducing CO2 emissions and advancing clean energy, yet mastering efficiency and selectivity in this process remains a tough challenge. Herein, we employ a surface-modification strategy using electrochemically active polymeric 1,4,5,8-naphthalenete-tracarboxylic dianhydride (PNTCDA)-modified copper nanosheets (PM-Cu) to rearrange reactive species in the electric double layer, where the PNTCDA triggers a distinctive enolization that anchor potassium ions (K+) onto the cathode surface under reduction condition. Electrochemical analysis and computational simulations revealed that this approach fine-tunes K+ distribution in the double layer, making the dehydration of hydrated K+ more efficient and reducing active water molecules at the interface, thus inhibiting the hydrogen evolution reaction while concurrently promoting CO reduction via enhanced C‒C coupling. For the first time, the PM-Cu catalyst demonstrates ampere-scale current densities with the exclusive selectivity of a C2+ liquid product yield exceeding 90%. Thus, by tailoring the local microenvironment with electrochemically active organics, it is possible to modulate CO reduction, improve sustainable energy storage, and increase industrial carbon utilization.