Paving the Way for Pass Disturb-Free Vertical NAND Storage via a Dedicated and String-Compatible Pass Gate.

In this work, we propose a dual-port cell design to address the pass disturbance in vertical NAND storage, which can pass signals through a dedicated and string-compatible pass gate. We demonstrate that (i) the pass disturb-free feature originates from weakening of the depolarization field by the pass bias at the high-VTH (HVT) state and the screening of the applied field by the channel at the low-VTH (LVT) state; (ii) combined simulations and experimental demonstrations of dual-port design verify the disturb-free operation in a NAND string, overcoming a key challenge in single-port designs; (iii) the proposed design can be incorporated into a highly scaled vertical NAND FeFET string, and the pass gate can be incorporated into the existing three-dimensional (3D) NAND with the negligible overhead of the pass gate interconnection through a global bottom pass gate contact in the substrate.

Altered Brain Structure in Hemifacial Spasm Patients: A Multimodal Brain Structure Study.

Objective: Hemifacial spasm (HFS) is a clinical neurosurgical disease, which brain structural alterations caused by HFS remain a topic of debate. We evaluated changes in brain microstructure associated with HFS and observed their relevance to clinical characteristics. Methods: We enrolled 72 participants. T1-weighted structural and diffusion tensor images were collected from all participants using 3.0T magnetic resonance equipment. Voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) were used to identify changes in gray matter volume (GMV) and disruptions in white matter (WM) integrity. The severity of the spasms was graded using the Cohn scale. Results: VBM analysis revealed that the GMV was significantly reduced in the left Thalamus and increased GMV in the right Cerebellum IV-V of the HFS group. TBSS analysis showed that FA in the left superior longitudinal fasciculus (SLF) of the HFS group was significantly increased. GMV in the thalamus showed a negative correlation with disease duration and Cohn grade, while FA in the left SLF had a positive correlation with both the disease duration and Cohn grade. Conclusion: We identified regions with altered GMV in HFS patients. Additionally, we determined that FA in the left SLF might serve as a significant neural indicator of HFS.

Nonlocal photonic quantum gates over 7.0 km.

Quantum networks provide a prospective paradigm to connect separated quantum nodes, which relies on the distribution of long-distance entanglement and active feedforward control of qubits between remote nodes. Such approaches can be utilized to construct nonlocal quantum gates, forming building blocks for distributed quantum computing and other novel quantum applications. However, these gates have only been realized within single nodes or between nodes separated by a few tens of meters, limiting the ability to harness computing resources in large-scale quantum networks. Here, we demonstrate nonlocal photonic quantum gates between two nodes spatially separated by 7.0 km using stationary qubits based on multiplexed quantum memories, flying qubits at telecom wavelengths, and active feedforward control based on field-deployed fibers. Furthermore, we illustrate quantum parallelism by implementing the Deutsch-Jozsa algorithm and the quantum phase estimation algorithm between the two remote nodes. These results represent a proof-of-principle demonstration of quantum gates over metropolitan-scale distances and lay the foundation for the construction of large-scale distributed quantum networks relying on existing fiber channels.

ChanLingGao alleviates intestinal mucosal barrier damage and suppresses the onset and progression of Colorectal cancer in AOM/DSS murine model.

BACKGROUND: The occurrence of Colorectal Cancer (CRC) is influenced by various factors, including host susceptibility, immune imbalance, and environmental triggers. Numerous studies have underscored the critical role of chronic intestinal inflammation and dysbiosis in the development of CRC. Traditional Chinese Medicine (TCM) holds unique advantages in regulating the intricate process of and comprehensive treatment for systemic disease. Previous investigations by our team have confirmed the anti-cancer properties of the TCM compound ChanLingGao (CLG), including inhibiting cancer cell migration, and alleviating bone cancer pain. However, the mechanisms underlying its efficacy in alleviating chronic intestinal inflammation, modulating the gut microbiota, and protecting the intestinal mucosal barrier remain largely unknown. PURPOSE: This study aims to explore the inhibitory effects of CLG on CRC tumors in mice and its potential mechanisms. METHODS: A chronic inflammation-related CRC mouse model was established using AOM/DSS. The study examined the mechanisms of intestinal inflammation and tumor cell proliferation through intestinal histological morphology. High-throughput sequencing was employed to analyze changes in gut microbiota diversity and intestinal mucosal barrier integrity in CRC mice. Based on network pharmacology target prediction and Wnt/ß-catenin signaling pathway analysis, the study analyzed and discussed the potential mechanisms of CLG on CRC. RESULTS: CLG significantly ameliorated weight loss and increased survival rates in CRC mice, while suppressing tumor growth in the intestinal tract. Post-CLG treatment improved intestinal inflammation in CRC mice, with a significant reduction in inflammatory factors IL-6, IL-23 and LCN2, and inhibition of tumor cell proliferation markers Proliferating Cell Nuclear Antigen (PCNA), Recombinant Ki-67 Protein (Ki-67), and CCND1. 16sV3-V4 region microbiota sequencing results indicated that CLG improved dysbiosis, and significantly increased the abundance of Akkermansia bacteria, further promoting the expression of MUC-2 protein and mucin secretion. Additionally, CLG prevented the disruption of intestinal epithelial cell junction proteins Occludin, Claudin-1, ZO-1, and E-cadherin, restored the number of goblet cells, and preserved the integrity of the intestinal mucosal barrier. Further experiments suggested that CLG inhibited abnormal activation of the Wnt/ß-catenin pathway, and its potential mechanism in maintaining mucosal barrier integrity might be related to blocking Wnt/ß-catenin pathway. CONCLUSIONS: This study demonstrates that CLG can inhibit CRC tumor growth by regulating the gut microbiota structure, reducing intestinal inflammation, improving intestinal mucosal barrier function, and inhibiting the complex process of cancer cell proliferation. This provides new clinical insights into the "membrane-oriented" treatment of CRC with CLG.

IG-Net: An Instrument-guided real-time semantic segmentation framework for prostate dissection during surgery for low rectal cancer.

BACKGROUND AND OBJECTIVE: Accurate prostate dissection is crucial in transanal surgery for patients with low rectal cancer. Improper dissection can lead to adverse events such as urethral injury, severely affecting the patient's postoperative recovery. However, unclear boundaries, irregular shape of the prostate, and obstructive factors such as smoke present significant challenges for surgeons. METHODS: Our innovative contribution lies in the introduction of a novel video semantic segmentation framework, IG-Net, which incorporates prior surgical instrument features for real-time and precise prostate segmentation. Specifically, we designed an instrument-guided module that calculates the surgeon's region of attention based on instrument features, performs local segmentation, and integrates it with global segmentation to enhance performance. Additionally, we proposed a keyframe selection module that calculates the temporal correlations between consecutive frames based on instrument features. This module adaptively selects non-keyframe for feature fusion segmentation, reducing noise and optimizing speed. RESULTS: To evaluate the performance of IG-Net, we constructed the most extensive dataset known to date, comprising 106 video clips and 6153 images. The experimental results reveal that this method achieves favorable performance, with 72.70% IoU, 82.02% Dice, and 35 FPS. CONCLUSIONS: For the task of prostate segmentation based on surgical videos, our proposed IG-Net surpasses all previous methods across multiple metrics. IG-Net balances segmentation accuracy and speed, demonstrating strong robustness against adverse factors.

Pan-immune-inflammation value as a prognostic biomarker for colon cancer and its variation by primary tumor location.

BACKGROUND: A growing body of research indicates significant differences between left-sided colon cancers (LCC) and right-sided colon cancers (RCC). Pan-immune-inflammation value (PIV) is a systemic immune response marker that can predict the prognosis of patients with colon cancer. However, the specific distinction between PIV of LCC and RCC remains unclear. AIM: To investigate the prognostic and clinical significance of PIV in LCC and RCC patients. METHODS: This multicenter retrospective cohort study included 1510 patients with colon cancer, comprising 801 with LCC and 709 with RCC. We used generalized lifting regression analysis to evaluate the relative impact of PIV on disease-free survival (DFS) in these patients. Kaplan-Meier analysis, as well as univariate and multivariate analyses, were used to examine the risk factors for DFS. The correlation between PIV and the clinical characteristics was statistically analyzed in these patients. RESULTS: A total of 1510 patients {872 female patients (58%); median age 63 years [interquartile ranges (IQR): 54-71]; patients with LCC 801 (53%); median follow-up 44.17 months (IQR 29.67-62.32)} were identified. PIV was significantly higher in patients with RCC [median (IQR): 214.34 (121.78-386.72) vs 175.87 (111.92-286.84), P < 0.001]. After propensity score matching, no difference in PIV was observed between patients with LCC and RCC [median (IQR): 182.42 (111.88-297.65) vs 189.45 (109.44-316.02); P = 0.987]. PIV thresholds for DFS were 227.84 in LCC and 145.99 in RCC. High PIV (> 227.84) was associated with worse DFS in LCC [PIV-high: Adjusted hazard ratio (aHR) = 2.39; 95% confidence interval: 1.70-3.38; P < 0.001] but not in RCC (PIV-high: aHR = 0.72; 95% confidence interval: 0.48-1.08; P = 0.114). CONCLUSION: These findings suggest that PIV may predict recurrence in patients with LCC but not RCC, underscoring the importance of tumor location when using PIV as a colon cancer biomarker.

Berberine extends healthspan and delays neurodegenerative diseases in Caenorhabditis elegans through ROS-dependent PMK-1/SKN-1 activation.

Oxidative stress, or the chronic generation of reactive oxygen species (ROS), is thought to contribute to the progression of aging and aging related diseases. However, low degree of ROS generation has repeatedly been shown to be associated with beneficial outcomes via activation of protective signaling pathways. Berberine, a natural alkaloid isolated from Rhizomacoptidis, has a long history of medicinal use in both Ayurvedic and traditional Chinese medicine, which possesses anti-cancer, anti-inflammatory and anti-neurodegenerative properties. In this study, we utilize Caenorhabditis elegans to examine the mechanisms by which berberine influences healthspan and neurodegenerative diseases. We find that 10 µM berberine significantly extends healthy lifespan in wild type C. elegans. We further show that berberine generates ROS, which is followed by activation of PMK-1/SKN-1 to extend healthspan. Intriguingly, berberine also delays neurodegenerative diseases such as Alzheimer's and polyglutamine diseases in a PMK-1/SKN-1dependent manner. Our work suggests that berberine may be a viable candidate for the prevention and treatment of aging and aging related diseases.

Latent profiles of multi-dimensional sleep characteristics and association with overweight/obesity in Chinese preschool children.

OBJECTIVES: To examine the association between latent profiles of multi-dimensional sleep characteristics and overweight/obesity (OWO) in Chinese preschool children. STUDY DESIGN: The cross-sectional analysis included 3204 preschool children recruited from 24 kindergartens in Shanghai. Parents reported children's demographics and sleep characteristics, including sleep duration, timing and disturbances. Latent profile analysis (LPA) was used to identify sleep subtypes. Logistic regression models were used to evaluate the associations between sleep characteristics/subtypes and OWO. RESULTS: Short sleep duration, late bedtime, long social jetlag and sleep disturbances were significantly associated with increased OWO. However, when considering the interplay of sleep duration and timing, there was no significant association between sleep duration and OWO for children sleeping later than 22:00. Three sleep subtypes were identified based on children's sleep duration, timing and disturbances: "Average Sleepers" (n = 2107, 65.8 %), "Good Sleepers" (n = 481, 15.0 %), and "Poor Sleepers" (n = 616, 19.2 %). "Good Sleepers" had reduced odds of being OWO (AOR, 0.72; 95 % CI, 0.56-0.93) compared to "Average Sleepers", while "Poor Sleepers" showed an increased risk of OWO (AOR, 1.36; 95 % CI, 1.11-1.67). CONCLUSIONS: These findings highlight that improving multiple sleep characteristics simultaneously is a promising option to prevent and intervene childhood obesity.

Diagnosis and treatment of bilateral primary branchiogenic carcinoma: A case of malignant transformation of branchial cleft cyst.

Branchial cleft cysts are common congenital lateral neck masses, with 95 % originating from the second branchial cleft. Although most cysts are benign, there are rare instances of malignancy. Here, we present a rare case of primary branchiogenic carcinoma originating from both sides of the neck in a 68-year-old male. Through a detailed analysis of this rare bilateral primary branchiogenic carcinoma, we present the complexity of diagnosing such rare phenomena and the limitations of existing diagnostic methods, emphasizing the need to improve diagnostic methods and the importance of further research for understanding and dealing with similar cases.

Response to hepatic arterial infusion chemotherapy combined with camrelizumab and targeted therapy in advanced primary hepatic neuroendocrine carcinoma: a case report and literature review.

Background: Primary hepatic neuroendocrine carcinoma (PHNEC), which often lacks distinctive radiological features or specific clinical symptoms, is extremely rare. In this report, we describe a rare case of PHNEC that was successfully treated with hepatic arterial infusion chemotherapy (HAIC) combined with camrelizumab and targeted therapy. Case Description: This report describes the treatment of a 53-year-old male with PHNEC in China. The patient was admitted for persistent upper right quadrant abdominal pain. Dynamic contrast-enhanced abdominal computed tomography (CT) and magnetic resonance imaging (MRI) both detected multiple masses, enlarged portal lymph nodes, and retroperitoneal lymph nodes. Histological and immunohistochemistry of the largest mass biopsy specimen from the right liver lobe confirmed the neuroendocrine tumor of the liver. The patient underwent HAIC with a modified fluorouracil and oxaliplatin (mFOLFOX) regimen. Meanwhile, the patient received camrelizumab (200 mg, intravenously, q3w) apatinib (250 mg, oral, daily) within 7 days after the start of HAIC. CT and MRI showed a marked decrease in the size of the largest mass of the liver and the portal lymph nodes, indicating a partial response of the tumor. Conclusions: PHNEC is a very rare tumor, and the treatment for its advanced type is controversial and remains to be standardized. HAIC combined with camrelizumab and targeted therapy may be an effective and safe therapeutic option for patients with PHNEC.

Rh(III)- or Ru(II)-Catalyzed C-H Annulation with Vinylene Carbonate and an Unexpected Aerobic Oxidation/Deprotection Cascade to Yield Cinnolin-4(1H)-ones.

Transition metal-catalyzed C-H annulation reactions have been extensively utilized for the synthesis of cinnolines, especially the N-protected ones; however, none of them can yield cinnolin-4(1H)-ones, a significant class of bioactive skeletons. Herein, we disclose one-pot access to cinnolin-4(1H)-ones through Rh(III)- or Ru(II)-catalyzed C-H activation/annulation of N-aryl cyclic hydrazides with vinylene carbonate, followed by an O2/K2CO3-promoted aerobic oxidation/deprotection cascade. The π-conjugation of the directing groups plays a crucial role in facilitating this transformation. Notably, seven-membered enolic Rh species IMC is characterized via electrospray ionization mass spectroscopy for the first time, which, along with systematic control experiments, provides compelling evidence for the mechanistic pathway encompassing alkenyl insertion, ß-oxygen elimination, protonation, and dehydration.

Hybrids of 3-Hydroxypyridin-4(1H)-ones and Long-Chain 4-Aminoquinolines as Potent Biofilm Inhibitors of Pseudomonas aeruginosa Potentiate Tobramycin and Polymyxin B Activity.

The biofilm formation of Pseudomonas aeruginosa involves multiple complex regulatory pathways; thus, blocking a single pathway is unlikely to achieve the desired antibiofilm efficacy. Herein, a series of hybrids of 3-hydroxypyridin-4(1H)-ones and long-chain 4-aminoquinolines were synthesized as biofilm inhibitors against P. aeruginosa based on a multipathway antibiofilm strategy. Comprehensive structure-activity relationship studies identified compound 30b as the most valuable antagonist, which significantly inhibited P. aeruginosa biofilm formation (IC50 = 5.8 µM) and various virulence phenotypes. Mechanistic studies revealed that 30b not only targets the three quorum sensing systems but also strongly induces iron deficiency signals in P. aeruginosa. Furthermore, 30b demonstrated a favorable in vitro and in vivo safety profile. Moreover, 30b specifically enhanced the antibacterial activity of tobramycin and polymyxin B in in vitro and in vivo combination therapy. Overall, these results highlight the potential of 30b as a novel anti-infective candidate for treating P. aeruginosa infections.

3dRNA/DNA: 3D Structure Prediction from RNA to DNA.

There is an increasing need for determining 3D structures of DNAs, e.g., for increasing the efficiency of DNA aptamer selection. Recently, we have proposed a computational method of 3D structure prediction of DNAs, called 3dDNA, which has been integrated into our original web server 3dRNA, now renamed 3dRNA/DNA (http://biophy.hust.edu.cn/new/3dRNA). Currently, 3dDNA can only output the predicted DNA 3D structures for users but cannot rank them as an energy function for assessing DNA 3D structures is still lacking. Here, we first provide a brief introduction to 3dDNA and then introduce a new energy function, 3dDNAscore, for the assessment of DNA 3D structures. 3dDNAscore is an all-atom knowledge-based potential by integrating 86 atomic types from nucleic acids. Benchmarks demonstrate that 3dDNAscore can effectively identify near-native structures from the decoys generated by 3dDNA, thus enhancing the completeness of 3dDNA.

RB1 Mutations Induce Smoking-Related Bladder Cancer by Modulating the Cytochrome P450 Pathway.

Cigarette smoking causes multiple cancers by directly influencing mutation burden of driver mutations. However, the mechanism between somatic mutation caused by cigarette smoking and bladder tumorigenesis remains elusive. Smoking-related mutation profile of bladder cancer was characterized by The Cancer Genome Atlas cohort. Integraticve OncoGenomics database was utilized to detect the smoking-related driver genes, and its biological mechanism predictions were interpreted based on bulk transcriptome and single-cell transcriptome, as well as cell experiments. Cigarette smoking was associated with an increased tumor mutational burden under 65 years old (p = 0.031), and generated specific mutational signatures in smokers. RB1 was identified as a differentially mutated driver gene between smokers and nonsmokers, and the mutation rate of RB1 increased twofold after smoking (p = 0.008). RB1 mutations and the 4-aminobiphenyl interference could significantly decrease the RB1 expression level and thus promote the proliferation, invasion, and migration ability of bladder cancer cells. Enrichment analysis and real-time quantitative PCR (RT-qPCR) data showed that RB1 mutations inhibited cytochrome P450 pathway by reducing expression levels of UGT1A6 and AKR1C2. In addition, we also observed that the component of immunological cells was regulated by RB1 mutations through the stronger cell-to-cell interactions between epithelial scissor+ cells and immune cells in smokers. This study highlighted that RB1 mutations could drive smoking-related bladder tumorigenesis through inhibiting cytochrome P450 pathway and regulating tumor immune microenvironment.

Multicenter radio-multiomic analysis for predicting breast cancer outcome and unravelling imaging-biological connection.

Radiomics offers a noninvasive avenue for predicting clinicopathological factors. However, thorough investigations into a robust breast cancer outcome-predicting model and its biological significance remain limited. This study develops a robust radiomic model for prognosis prediction, and further excavates its biological foundation and transferring prediction performance. We retrospectively collected preoperative dynamic contrast-enhanced MRI data from three distinct breast cancer patient cohorts. In FUSCC cohort (n = 466), Lasso was used to select features correlated with patient prognosis and multivariate Cox regression was utilized to integrate these features and build the radiomic risk model, while multiomic analysis was conducted to investigate the model's biological implications. DUKE cohort (n = 619) and I-SPY1 cohort (n = 128) were used to test the performance of the radiomic signature in outcome prediction. A thirteen-feature radiomic signature was identified in the FUSCC cohort training set and validated in the FUSCC cohort testing set, DUKE cohort and I-SPY1 cohort for predicting relapse-free survival (RFS) and overall survival (OS) (RFS: p = 0.013, p = 0.024 and p = 0.035; OS: p = 0.036, p = 0.005 and p = 0.027 in the three cohorts). Multiomic analysis uncovered metabolic dysregulation underlying the radiomic signature (ATP metabolic process: NES = 1.84, p-adjust = 0.02; cholesterol biosynthesis: NES = 1.79, p-adjust = 0.01). Regarding the therapeutic implications, the radiomic signature exhibited value when combining clinical factors for predicting the pathological complete response to neoadjuvant chemotherapy (DUKE cohort, AUC = 0.72; I-SPY1 cohort, AUC = 0.73). In conclusion, our study identified a breast cancer outcome-predicting radiomic signature in a multicenter radio-multiomic study, along with its correlations with multiomic features in prognostic risk assessment, laying the groundwork for future prospective clinical trials in personalized risk stratification and precision therapy.

Excessive daytime sleepiness in obstructive sleep apnea: Indirect treatment comparison of wake-promoting agents in patients adherent/nonadherent to primary OSA therapy.

There remains an unmet need for a targeted treatment to address residual excessive daytime sleepiness (EDS) in patients with obstructive sleep apnea (OSA) after primary treatment. This network meta-analysis evaluated the efficacy and safety of wake-promoting agents (WPAs), namely solriamfetol, pitolisant, modafinil, and armodafinil, for treating residual EDS in patients with OSA. We conducted a comprehensive search which ultimately included 18 studies in the final analysis. All 4 WPAs demonstrated significant therapeutic benefits for the Epworth sleepiness scale (ESS) and maintenance of wakefulness test (MWT). Based on the surface under the cumulative ranking curve (SUCRA) score, solriamfetol, pitolisant, modafinil and armodafinil were ranked from highest to lowest for the ESS. A similar ranking was observed for MWT, where pitolisant was not included in the analysis. The subgroup analysis also evaluated the efficacy of WPAs in the primary treatment adherent and nonadherent subgroups. Regarding adverse reactions, solriamfetol demonstrated the lowest risk of all-cause discontinuation, whereas pitolisant exhibited minimal risks of adverse events leading to treatment discontinuation and treatment-emergent adverse events. Our analysis comprehensively compared the effects and adverse reactions of different WPAs in treating residual EDS in treated patients with OSA. This has significant implications for the practical clinical use of WPAs and future research.

Therapeutic potential of Cordyceps sinensis targeting oxidative stress and inflammatory response in the treatment of COPD rats: insights from metabolomics analysis.

This study aimed to investigate the effects of wild Cordyceps sinensis on chronic obstructive pulmonary disease (COPD) rats through metabolomics approach, combined with biochemical parameters evaluations. Consequently, C. sinensis exhibited regulatory effects on the lung's metabolic profiles in COPD rats. Treatment with C. sinensis potentially modulated glycerophospholipid metabolism, glutathione metabolism, and tryptophan metabolism, thereby alleviating oxidative stress (by decreasing MDA and GSSG, while increasing SOD and GSH) and inflammatory response (by inhibiting TNF-α, IL-8, and MMP-9) in COPD rats while improving lung tissue damage.

A checklist of the predators and parasitoids of the fall webworm Hyphantriacunea (Drury) (Lepidoptera, Erebidae) from around the world.

A checklist of 488 fall webworm Hyphantriacunea (Drury) natural enemies was compiled based on documentation in previous research across its world distribution, including 289 predators and 199 parasitoids. Predators in the checklist include 67 species from 17 families of Insecta, 1 species of Chilopoda, 183 species from 22 families of Arachnida, 1 species of Reptilia, 4 species from 2 families of Amphibia, 33 species from 18 families of Aves. In addition, the checklist includes fall webworm parasitoids from 18 families of Insecta. Among continents, 128 predators and 76 parasitoids were distributed in North America, 78 predators and 62 parasitoids in Asia, and 88 predators and 68 parasitoids in Europe.

Radiomics in breast cancer: Current advances and future directions.

Breast cancer is a common disease that causes great health concerns to women worldwide. During the diagnosis and treatment of breast cancer, medical imaging plays an essential role, but its interpretation relies on radiologists or clinical doctors. Radiomics can extract high-throughput quantitative imaging features from images of various modalities via traditional machine learning or deep learning methods following a series of standard processes. Hopefully, radiomic models may aid various processes in clinical practice. In this review, we summarize the current utilization of radiomics for predicting clinicopathological indices and clinical outcomes. We also focus on radio-multi-omics studies that bridge the gap between phenotypic and microscopic scale information. Acknowledging the deficiencies that currently hinder the clinical adoption of radiomic models, we discuss the underlying causes of this situation and propose future directions for advancing radiomics in breast cancer research.