Autonomous Vascular Networks Synchronize GABA Neuron Migration in the Embryonic Forebrain

GABA neurons, born in remote germinative zones in the ventral forebrain (telencephalon), migrate tangentially in two spatially distinct streams to adopt their specific positions in the developing cortex. The cell types and molecular cues that regulate this divided migratory route remains to be elucidated. Here we show that embryonic vascular networks are strategically positioned to fulfill the task of providing support as well as critical guidance cues that regulate the divided migratory routes of GABA neurons in the telencephalon. Interestingly, endothelial cells of the telencephalon are not homogeneous in their gene expression profiles. Endothelial cells of the periventricular vascular network have molecular identities distinct from those of the pial network. Our data suggest that periventricular endothelial cells have intrinsic programs that can significantly mold neuronal development and uncovers new insights into concepts and mechanisms of CNS angiogenesis from both developmental and disease perspectives

Research on Iris Recognition Method Based on Quantum Algorithms

Traditional iris recognition method has low speed and searching rate in large-scale unstructured database. Three different quantum algorithms are proposed in iris recognition. Quantum filtering algorithm can get a better filtering result than classical algorithm in iris filtering process. Quantum Fourier transforms exhibits an exponential speed-up compared with discrete Fourier transform in feature extraction. Improved Grover algorithm can reduce the matching time in the step of iris matching. The experiment results show that matching numbers and matching time reduce greatly

Magnetization of CuGeO3

As the first inorganic spin-Peierls compound, CuGe03 can be described with an AF Heisenberg model. The magnetization process of CuGe03 is studied using the numerical Density Matrix Renormalization Group (DMRG) technique. The M - H curve of CuGe03 and other one dimensional Heisenberg systems are described, and their different nature are analyzed. In particular, the middle field cusp singularity appears in the M- H curve of CuGe03 is described. ThesisMaster of Science (MSc

NAD+ protects against EAE by regulating CD4+ T-cell differentiation

CD4+ T cells are involved in the development of autoimmunity, including multiple sclerosis (MS). Here we show that nicotinamide adenine dinucleotide (NAD+) blocks experimental autoimmune encephalomyelitis (EAE), a mouse model of MS, by inducing immune homeostasis through CD4+IFNγ+IL-10+ T cells and reverses disease progression by restoring tissue integrity via remyelination and neuroregeneration. We show that NAD+ regulates CD4+ T-cell differentiation through tryptophan hydroxylase-1 (Tph1), independently of well-established transcription factors. In the presence of NAD+, the frequency of T-bet−/− CD4+IFNγ+ T cells was twofold higher than wild-type CD4+ T cells cultured in conventional T helper 1 polarizing conditions. Our findings unravel a new pathway orchestrating CD4+ T-cell differentiation and demonstrate that NAD+ may serve as a powerful therapeutic agent for the treatment of autoimmune and other diseases

A Survey of Multimodal Composite Editing and Retrieval

In the real world, where information is abundant and diverse across different modalities, understanding and utilizing various data types to improve retrieval systems is a key focus of research. Multimodal composite retrieval integrates diverse modalities such as text, image and audio, etc. to provide more accurate, personalized, and contextually relevant results. To facilitate a deeper understanding of this promising direction, this survey explores multimodal composite editing and retrieval in depth, covering image-text composite editing, image-text composite retrieval, and other multimodal composite retrieval. In this survey, we systematically organize the application scenarios, methods, benchmarks, experiments, and future directions. Multimodal learning is a hot topic in large model era, and have also witnessed some surveys in multimodal learning and vision-language models with transformers published in the PAMI journal. To the best of our knowledge, this survey is the first comprehensive review of the literature on multimodal composite retrieval, which is a timely complement of multimodal fusion to existing reviews. To help readers\u27 quickly track this field, we build the project page for this survey, which can be found at https://github.com/fuxianghuang1/Multimodal-Composite-Editing-and-Retrieval.20 pages, 3 figures, and 11 table

Impact of preoperative psychological support on outcomes in pancreatic cancer surgery: a propensity score-matched cohort study

BackgroundPreoperative multidisciplinary psychological support (PMPS) has been associated with improved outcomes in several cancer populations, but its impact in pancreatic cancer remains underexplored.MethodWe retrospectively reviewed 347 patients who underwent surgical treatment for pancreatic cancer between January 2020 and December 2022. Among them, 132 patients received preoperative multidisciplinary psychological support (PMPS), while 215 did not. To reduce confounding, 1:1 propensity score matching (PSM) was performed based on age, sex, comorbidities, tumor stage, and type of surgery, yielding 132 matched pairs (n = 264). The PMPS intervention included structured psychological counseling, perioperative education, relaxation techniques, and coordinated physical therapy. Primary outcomes were postoperative complication rate, length of hospital stay, and in-hospital mortality. Secondary outcomes included 30-day readmission, psychological status assessed by the Hospital Anxiety and Depression Scale (HADS), and patient satisfaction. Logistic regression and ROC analysis were conducted to evaluate the impact of PMPS.ResultsCompared with the control group, patients in the PMPS group had a significantly lower incidence of postoperative complications (17.4% vs. 30.3%, P = 0.011), shorter hospital stay (10.0 ± 2.7 vs. 12.8 ± 3.3 days, P<0.001), and reduced in-hospital mortality (2.3% vs. 5.3%, P = 0.048). PMPS was associated with significantly improved postoperative anxiety and depression scores (P<0.001). Logistic regression indicated that PMPS independently reduced the risk of major complications (OR = 0.51, 95% CI: 0.30–0.88, P = 0.015). ROC curves demonstrated predictive value of PMPS for readmission (AUC = 0.725) and postoperative anxiety (AUC = 0.833).ConclusionPMPS was associated with improved perioperative and psychological outcomes in patients undergoing pancreatic cancer surgery. Although this was a retrospective single-center study, our findings suggest that structured psychological support may have clinical value and should be considered as part of routine multidisciplinary care. Future multicenter prospective studies are warranted to validate these results

Reduced expression of cenp-e in human hepatocellular carcinoma

© 2009 Liu et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

Synthesis and Characterization of an Iron Nitride Constructed by a Novel Template of Metal Organic Framework

An iron nitride with high surface area was synthesized from an iron-based metal organic framework (Fe-MOF) in this work. During the synthesis process, the Fe-MOF of MIL-53 served as a hard template, a template to impart a certain degree of morphology for iron oxide products and to form porosities for iron nitride products. Moreover, it played the roles of iron sources for the synthesis of the final iron oxides and the iron nitrides. The physicochemical properties of the materials were characterized by a series of technologies including XRD, SEM, and N2-adsorption/desorption. The results showed that the iron nitride synthesized from MIL-53 was α-Fe2-3N. And, the α-Fe2-3N showed the morphology with loosely aggregated particles which favored the formation of rich interparticle porosities. As a result, the surface area of the α-Fe2-3N was larger than those of samples using α-Fe2O3 as precursors and its value was 41 m2/g. In addition, the results agreed that both raw material properties (such as crystallinity and surface areas) and nitriding approaches had significant effects on the surface areas of iron nitrides. Also the results were proved by the iron oxide synthesized with different methods. This new synthetic strategy could be a general approach for the preparation of late transition metal nitrides with peculiar properties