Description of 178^{178}Hfm2^{m2} in the constrained relativistic mean field theory

The properties of the ground state of $^{178}$Hf and the isomeric state $^{178}$Hf$^{m2}$ are studied within the adiabatic and diabatic constrained relativistic mean field (RMF) approaches. The RMF calculations reproduce well the binding energy and the deformation for the ground state of $^{178}$Hf. Using the ground state single-particle eigenvalues obtained in the present calculation, the lowest excitation configuration with $K^\pi=16^+$ is found to be $\nu(7/2^-[514])^{-1}(9/2^+[624])^{1}$ $\pi(7/2^+[404])^{-1}(9/2^-[514])^{1}$. Its excitation energy calculated by the RMF theory with time-odd fields taken into account is equal to 2.801 MeV, i.e., close to the $^{178}$Hf$^{m2}$ experimental excitation energy 2.446 MeV. The self-consistent procedure accounting for the time-odd component of the meson fields is the most important aspect of the present calculation.Comment: 12 pages(preprint), 2 figures, 1 tabl

Characterization of ovarian clear cell carcinoma using target drug-based molecular biomarkers: implications for personalized cancer therapy

Information of antibodies used in immunohistochemistry. Table S2A. Relationship with clinicopathological factors-HGSC. Table S2B. Relationship with clinicopathological factors-CCC. Table S3 Association molecular biomarkers expression and platinum-based chemotherapeutic response. Table S4. Comparison of molecular biomarkers between recurrent and disease-free patients. (DOCX 42 kb

The effects of aB-crystallin on mitochondrial death pathway during hydrogen peroxide induced apoptosis

aB-crystallin, a major small heat shock protein, has recently been shown to exert inhibitory effects on apoptosis, while the responsible mechanisms remain largely unknown. In the present study, we discovered that aB-crystallin protected mouse myoblast C2C12 cells against oxidative stress-induced apoptosis. During hydrogen peroxide-induced apoptosis, aBcrystallin showed that it decreased the redistribution level of phosphatidylserine (PS), reduced the release of cytochrome C and Smac/Diablo from mitochondria into cytoplasm, and decreased the cleavage of Bid. Interestingly, immunoprecipitation experiments with anti-aBcrystallin and anti-myc-tag antibodies demonstrated respectively an interaction between aBcrystallin and p53 during hydrogen peroxide induced apoptosis. Both the NH2-terminal and COOH-terminal regions of aB-crystallin could interact with p53, suggesting two domains of aB-crystallin are necessary for the interaction. Electrophoresis mobility shift assay (EMSA) and luciferase assay further demonstrated that aB-crystallin inhibited the upregulation of the DNA-binding, as well as the transactivation activity of p53 induced by hydrogen peroxide. Our results show that aB-crystallin has a protective role in oxidative stress induced apoptosis by interference with the mitochondrial death pathway

Histone modifications in embryo implantation and placentation: insights from mouse models

Embryo implantation and placentation play pivotal roles in pregnancy by facilitating crucial maternal-fetal interactions. These dynamic processes involve significant alterations in gene expression profiles within the endometrium and trophoblast lineages. Epigenetics regulatory mechanisms, such as DNA methylation, histone modification, chromatin remodeling, and microRNA expression, act as regulatory switches to modulate gene activity, and have been implicated in establishing a successful pregnancy. Exploring the alterations in these epigenetic modifications can provide valuable insights for the development of therapeutic strategies targeting complications related to pregnancy. However, our current understanding of these mechanisms during key gestational stages remains incomplete. This review focuses on recent advancements in the study of histone modifications during embryo implantation and placentation, while also highlighting future research directions in this field

PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM

Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use two-finger grippers and also assume that the object remains fixed in the hand without any relative movements, which is not representative of real-world scenarios. To address this issue, a 6D object-in-hand pose dataset is proposed using a teleoperation method with an anthropomorphic Shadow Dexterous hand. Our dataset comprises RGB-D images, proprioception and tactile data, covering diverse grasping poses, finger contact states, and object occlusions. To overcome the significant hand occlusion and limited tactile sensor contact in real-world scenarios, we propose PoseFusion, a hybrid multi-modal fusion approach that integrates the information from visual and tactile perception channels. PoseFusion generates three candidate object poses from three estimators (tactile only, visual only, and visuo-tactile fusion), which are then filtered by a SelectLSTM network to select the optimal pose, avoiding inferior fusion poses resulting from modality collapse. Extensive experiments demonstrate the robustness and advantages of our framework. All data and codes are available on the project website: https://elevenjiang1.github.io/ObjectInHand-Dataset

Preparation of Zein-Nicandra physaloides Gum Binary Complex and Its Application in Pickering Emulsions

Zein is widely used in loading and delivery of food functional components due to its unique self-assembly properties. However, due to the strong hydrophobicity, the interface stability of the pure Zein-based Pickering emulsion is difficult to meet the needs of practical applications, and the construction of a composite system with appropriate polysaccharides is an effective strategy to improve the stability of its emulsion. On account of this, composite particles (NZPs) using Zein and Nicandra physaloides gum (NPG) with different protein-polysaccharide compounding ratios were prepared in this work by complex coacervation method. The physicochemical properties, structure and emulsion properties of NZPs were characterized. The results showed that the surface wettability of NZPs increased with the increasing addition of NPG, and meanwhile the formed composite particles became smaller with better dispersity, caused by the specific electrostatic force between protein and polysaccharide. The endogenous fluorescence spectrum of NZPs showed that the peak intensity of the corresponding characteristic peaks was proportional to the content of Zein and NPG, respectively, and the introduction of NPG affected the microenvironment polarity of tyrosine residues in Zein molecules. The shift of the absorption peak in Fourier transform infrared spectroscopy (FT-IR) indicated the enhanced hydrogen bond interaction and the generation of new peaks indicated the formation of new chemical bonds in NZPs. The storage modulus (G') of NZPs-based Pickering emulsions was higher than the loss modulus (G"). When the compounding ratio was 1:1 (Zein:NPG), both G' and G" of emulsions reached the maximum, obtaining the optimum emulsion system structure. The creaming index (CI) results showed that the stability of NZPs-based Pickering emulsions was generally higher than that of the pure Zein or NPG emulsions under different pH and heating treatments. This study provides a theoretical reference for the development of new Zein-polysaccharide composite system and its highly efficient and stable Pickering emulsions

Dietary Stress From Plant Secondary Metabolites Contributes to Grasshopper (Oedaleus asiaticus) Migration or Plague by Regulating Insect Insulin-Like Signaling Pathway

Diets essentially affect the ecological distribution of insects, and may contribute to or even accelerate pest plague outbreaks. The grasshopper, Oedaleus asiaticus B-Bienko (OA), is a persistent pest occurring in northern Asian grasslands. Migration and plague of this grasshopper is tightly related to two specific food plants, Stipa krylovii Roshev and Leymus chinensis (Trin.) Tzvel. However, how these diets regulate and contribute to plague is not clearly understood. Ecological studies have shown that L. chinensis is detrimental to OA growth due to the presence of high secondary metabolites, and that S. krylovii is beneficial because of the low levels of secondary metabolites. Moreover, in field habitats consisting mainly of these two grasses, OA density has negative correlation to high secondary metabolites and a positive correlation to nutrition content for high energy demand. These two grasses act as a ‘push-pull,’ thus enabling the grasshopper plague. Molecular analysis showed that gene expression and protein phosphorylation level of the IGF → FOXO cascade in the insulin-like signaling pathway (ILP) of OA negatively correlated to dietary secondary metabolites. High secondary metabolites in L. chinensis down-regulates the ILP pathway that generally is detrimental to insect survival and growth, and benefits insect detoxification with high energy cost. The changed ILP could explain the poor growth of grasshoppers and fewer distributions in the presence of L. chinensis. Plants can substantially affect grasshopper gene expression, protein function, growth, and ecological distribution. Down-regulation of grasshopper ILP due to diet stress caused by high secondary metabolites containing plants, such as L. chinensis, results in poor grasshopper growth and consequently drives grasshopper migration to preferable diet, such as S. krylovii, thus contributing to grasshopper plague outbreaks

Real-Time Safety Diagnosis System for Connected Vehicles With Parallel Computing Architecture

69A3551747104The primary aim of this project is to enhance our system from the previous STRIDE F4 project to a parallel computing version. The original F4 system, designated as Automatic Safety Diagnosis in Connected Vehicle (CV) Environment, established a computational pipeline for diagnosing near-crash events exclusively using Basic Safety Messages (BSMs). It was implemented using a sequential computing paradigm. The O6 project was conceived to expedite the system by transitioning it to a parallel version. The F4 system comprised a driving anomaly detection model (DAD), a conflict identification model (CIM), and the data-path connecting them. The DAD was primarily situated in the core cloud, while the CIM was positioned within the CVs. Throughout the O6 process, notable advancements in in-vehicle computers (IVCs) were uncovered. In order to align our system with real-world operations, we opted to fully migrate the DAD component to the IVCs. Recognizing Domain-Specific Design (DSD) as the future of parallel computing, we propose configuring DSD for IVCs based on three levels of abstractions: selecting the appropriate chip architecture, programming language, and parallelism module. For the CIM of our system, we recommend utilizing ARM architecture, the C programming language, and leveraging the built-in parallelism of the ARM chip. As for the DAD, we advocate for a complete migration to IVC, utilizing ARM architecture, the Python language on the CPU, and employing multiprocessing for parallel computing