Polyfluorenes have emerged as versatile semiconducting materials with applications in various polymer optoelectronic devices, such as light-emitting devices, lasers, solar cells, memories, ...field-effect transistors and sensors. Organic syntheses and polymerizations allow for the powerful introduction of various periodic table elements and their building blocks into π-conjugated polymers to meet the requirements of organic devices. In this review, a soccer-team-like framework with 11 nodes is initially proposed to illustrate the structure–property relationships at three levels: chain structures, thin films and devices. Second, the modelling of hydrocarbon polyfluorenes (CPFs) is summarized within the framework of a four-element design principle, in which we have highlighted polymorphic poly(9,9-dialkylfluorene)s with unique supramolecular interactions, various hydrocarbon-based monomers with different electronic structures, functional bulky groups with steric hindrance effects and ladder-type, kinked, hyperbranched and dendritic conformations. Finally, the detailed electronic structure designs of main-chain-type heteroatomic copolyfluorenes (HPFs) and metallopolyfluorenes (MPFs) are described in the third and fourth sections. Supramolecular, nano and soft semiconductors are the future of polyfluorenes in the fields of optoelectronics, spintronics and electromechanics.
Myeloid leukemia factor 1-interacting protein (MLF1IP) has been found to be involved in the progression of several malignancies. The potential correlation between MLF1IP and clinical outcome in ...patients with luminal breast cancer, however, remains unknown. In the present study, we demonstrated that MLF1IP was significantly upregulated in luminal breast cancer tissue compared with adjacent normal tissue both in validated cohort and TCGA cohort. Upregulated expression of MLF1IP was correlated with more often lymph node metastasis and negative progesterone receptor expression in TCGA cohorts. Kaplan-Meier analysis indicated that patients with high MLF1IP expression had significantly lower overall survival. Moreover, multivariate analysis revealed that high MLF1IP expression was independent high risk factor as well as old age (>60) and distant metastasis. This study provides new insights and evidences that MLF1IP over-expression plays important roles in progression of luminal breast cancer. However, the precise cellular mechanisms for MLF1IP in luminal breast cancer need to be further explored.
•MLF1IP is over-expressed in human luminal breast cancer tissues.•MLF1IP can predict the progression of luminal breast cancer.•MLF1IP over-expression plays important roles in progression of luminal breast cancer.
The presence of pathogenic microorganisms in water is a great threat to human health, and photocatalysis is promising for disinfection. However, the research on virus inactivation with visible-light ...photocatalysis is still limited, especially the coexistence of virus and its host bacteria. In this study, bacteriophage f2 and its host E. coil 285 were used as the model microorganisms, and the disinfection performance of prepared Cu-TiO2 nanofibers under visible light was investigated. The result showed that the prepared Cu-TiO2 nanofibers showed a brilliant ability in terms of removing bacteriophage f2 and E. coil 285 under visible light. Series experiments indicated that the initial pH didn't affect the photocatalytic disinfection performance significantly. In the certain range, the removal efficiency of bacteriophage f2 increased with the increase of catalyst dosage, light intensity and temperature, but decreased with the increase of initial virus concentration. In virus/bacteria mixed system, bacteriophage f2 exhibited stronger resistance to photocatalytic oxidation than E. coil 285, and the removal of bacteriophage f2 was obviously affected by being mixed with E. coil 285, while the removal of E. coil 285 almost remained unchanged after being mixed with bacteriophage f2. Further research proved that competitive adsorption in mixed system played a certain role in E. coli 285 inactivation, while the free reactive oxygen species (ROSs) in the bulk phase played a crucial role in phage f2 inactivation.
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•Cu-TiO2 nanofibers inactivated f2 and E. coil 285 efficiently under visible light.•Series influencing factors were investigated in single virus system.•Disinfection performance in virus/bacteria mixed system was studied.•Competitive adsorption affected the E. coli 285 inactivation in mixed system.•The free ROSs in the bulk phase played a crucial role in phage f2 inactivation.
Prepared Cu-TiO2 nanofibers could remove bacteriophage f2 and E. coil 285 both in single system and mixed system effectively under visible light.
Deep Cross-Modal Proxy Hashing Tu, Rong-Cheng; Mao, Xian-Ling; Tu, Rong-Xin ...
IEEE transactions on knowledge and data engineering,
07/2023, Letnik:
35, Številka:
7
Journal Article
Recenzirano
Due to the high retrieval efficiency and low storage cost for cross-modal search tasks, cross-modal hashing methods have attracted considerable attention from the researchers. For the supervised ...cross-modal hashing methods, how to make the learned hash codes sufficiently preserve semantic information contained in the label of datapoints is the key to further enhance the retrieval performance. Hence, almost all supervised cross-modal hashing methods usually depend on defining similarities between datapoints with the label information to guide the hashing model learning fully or partly. However, the defined similarity between datapoints can only capture the label information of datapoints partially and misses abundant semantic information, which then hinders the further improvement of retrieval performance. Thus, in this paper, different from previous works, we propose a novel cross-modal hashing method without defining the similarity between datapoints, called Deep Cross-modal Proxy Hashing (DCPH). Specifically, DCPH first trains a proxy hashing network to transform each category information of a dataset into a semantic discriminative hash code, called proxy hash code. Each proxy hash code can preserve the semantic information of its corresponding category well. Next, without defining the similarity between datapoints to supervise the training process of the modality-specific hashing networks, we propose a novel margin-dynamic-softmax loss to directly utilize the proxy hashing codes as supervised information. Finally, by minimizing the novel margin-dynamic-softmax loss , the modality-specific hashing networks can be trained to generate hash codes that can simultaneously preserve the cross-modal similarity and abundant semantic information well. Extensive experiments on three benchmark datasets show that the proposed method outperforms the state-of-the-art baselines in the cross-modal retrieval tasks.
Late-onset Alzheimer's disease (LOAD) risk is strongly influenced by genetic factors such as the presence of the apolipoprotein E ε4 allele (referred to here as APOE4), as well as non-genetic ...determinants including ageing. To pursue mechanisms by which these affect human brain physiology and modify LOAD risk, we initially analysed whole-transcriptome cerebral cortex gene expression data in unaffected APOE4 carriers and LOAD patients. APOE4 carrier status was associated with a consistent transcriptomic shift that broadly resembled the LOAD profile. Differential co-expression correlation network analysis of the APOE4 and LOAD transcriptomic changes identified a set of candidate core regulatory mediators. Several of these--including APBA2, FYN, RNF219 and SV2A--encode known or novel modulators of LOAD associated amyloid beta A4 precursor protein (APP) endocytosis and metabolism. Furthermore, a genetic variant within RNF219 was found to affect amyloid deposition in human brain and LOAD age-of-onset. These data implicate an APOE4 associated molecular pathway that promotes LOAD.
Interleukin-10 (IL-10)-producing regulatory B (Breg) cells suppress autoimmune disease, and increased numbers of Breg cells prevent host defense to infection and promote tumor growth and metastasis ...by converting resting CD4(+) T cells to regulatory T (Treg) cells. The mechanisms mediating the induction and development of Breg cells remain unclear. Here we show that IL-35 induces Breg cells and promotes their conversion to a Breg subset that produces IL-35 as well as IL-10. Treatment of mice with IL-35 conferred protection from experimental autoimmune uveitis (EAU), and mice lacking IL-35 (p35 knockout (KO) mice) or defective in IL-35 signaling (IL-12Rβ2 KO mice) produced less Breg cells endogenously or after treatment with IL-35 and developed severe uveitis. Adoptive transfer of Breg cells induced by recombinant IL-35 suppressed EAU when transferred to mice with established disease, inhibiting pathogenic T helper type 17 (TH17) and TH1 cells while promoting Treg cell expansion. In B cells, IL-35 activates STAT1 and STAT3 through the IL-35 receptor comprising the IL-12Rβ2 and IL-27Rα subunits. As IL-35 also induced the conversion of human B cells into Breg cells, these findings suggest that IL-35 may be used to induce autologous Breg and IL-35(+) Breg cells and treat autoimmune and inflammatory disease.
Spectrum of the low-lying hidden- and double-charm tetraquark states are investigated in a nonrelativistic quark potential model, where the instanton-induced interaction is taken as the residual ...spin-dependent hyperfine interaction between quarks. The model parameters are fixed by fitting the spectrum of the ground hadron states. Our numerical results show that masses of several presently studied tetraquark states are close to those of the experimentally observed candidates of exotic meson, which indicates that the corresponding compact tetraquark components may take considerable probabilities in those observed exotic states.
E0703, a new steroidal compound optimized from estradiol, significantly increased cell proliferation and the survival rate of KM mice and beagles after ionizing radiation. In this study, we ...characterize its preclinical pharmacokinetics (PK) and predict its human PK using a physiologically based pharmacokinetic (PBPK) model. The preclinical PK of E0703 was studied in mice and Rhesus monkeys. Asian human clearance (CL) values for E0703 were predicted from various allometric methods. The human PK profiles of E0703 (30 mg) were predicted by the PBPK model in Gastro Plus software 9.8 (SimulationsPlus, Lancaster, CA, USA). Furthermore, tissue distribution and the human PK profiles of different administration dosages and forms were predicted. The 0.002 L/h of CL and 0.005 L of V
in mice were calculated and optimized from observed PK data. The plasma exposure of E0703 was availably predicted by the CL using the simple allometry (SA) method. The plasma concentration-time profiles of other dosages (20 and 40 mg) and two oral administrations (30 mg) were well-fitted to the observed values. In addition, the PK profile of target organs for E0703 exhibited a higher peak concentration (C
) and AUC than plasma. The developed E0703-PBPK model, which is precisely applicable to multiple species, benefits from further clinical development to predict PK in humans.
Reactive oxygen species (ROS) such as hydrogen peroxide (H2O2) can inflict damage to biomolecules under oxidative stress and also act as signaling molecules at physiological levels. Here we developed ...a unique chemical tool to elucidate the biological roles of ROS using both fluorescence imaging and conditional proteomics. H2O2-responsive protein labeling reagents (Hyp-L) were designed to selectively tag proteins under the oxidative conditions in living cells and tissues. The Hyp-L signal remained even after sample fixation, which was compatible with conventional immunostaining. Moreover, Hyp-L allowed proteomic profiling of the labeled proteins using a conditional proteomics workflow. The integrative analysis enabled the identification of ROS generation and/or accumulation sites with a subcellular resolution. For the first time, we characterized that autophagosomes were enriched with H2O2 in activated macrophages. Hyp-L was further applied to mouse brain tissues and clearly revealed oxidative stress within mitochondria by the conditional proteomics.
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