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An efficient hole transport tunnel is constructed by a bipyridine based organic semiconductor that enables an increase of the hole mobility by seven times.

Microblogging systems such as Twitter have seen explosive use in public and private sectors. The age information of microbloggers can be very useful for many applications such as viral marketing and social studies/surveys. Current microblogging systems, however, have very sparse age information. In this paper, we present MAIF, a novel framework that explores public content and interaction information in microblogging systems to explore the hidden ages of microbloggers. We thoroughly evaluate the accuracy of MAIF with a real-world dataset with 54,879 Twitter users. Our results show that MAIF can achieve up to 81.38% inference accuracy and outperforms the state of the art by 9.15%. We also discuss some countermeasures to alleviate the possible privacy concerns caused by MAIF.

This study used constitutive CD226 gene knockout (KO) mice as a model to investigate the functions and mechanisms of CD226 in megakaryocyte (MK) maturation and platelet activation. Although CD226 deficiency did not cause MK polyploidization or platelet granule abnormalities, increased MK counts were detected in the femora bone marrow (BM) and spleen of CD226 KO mice. Particularly, CD226 KO mice have a more extensive membrane system in MKs and platelets than wild-type (WT) mice. We also demonstrated that CD226 KO mice displayed increased platelet counts, shortened bleeding time, and enhanced platelet aggregation. CD226 KO platelets had an increased mature platelet ratio compared to the control platelets. In addition, the observed reduction in bleeding time may be due to decreased nitric oxide (NO) production in the platelets. Platelet-specific CD226-deficient mice showed similar increased MK counts, shortened bleeding time, enhanced platelet aggregation, and decreased NO production in platelets. Furthermore, we performed middle cerebral artery occlusion-reperfusion surgery on WT and CD226 KO mice to explore the potential effect of CD226 on acute ischemia-reperfusion injury; the results revealed that CD226 deficiency led to significantly increased infarct area. Thus, CD226 is a promising candidate for the treatment of thrombotic disorders.

Platelet-rich plasma (PRP) is a platelet-based application used to treat osteoarthritis (OA) clinically. The co-stimulatory molecule CD226 is expressed in T cells, NK cells, and also platelets. However, exact effects of CD226 on platelets and whether its expression level influences PRP efficacy are largely unknown. Here, CD226fl/flPF4-Cre mice were obtained from mating CD226 fl/fl mice with PF4-Cre mice. Blood samples and washed platelets were collected from the mice eyeballs to undergo routine blood tests and transmission electron microscopy. Differentially expressed proteins were detected by iTRAQ-based proteomics analysis. Animal OA models were established through surgical destabilization of the medial meniscus (DMM) for C57BL/6 wildtype mice, followed by PRP injection to evaluate the effects of platelet CD226 on PRP efficacy. The results showed that deletion of platelet CD226 increased the number of megakaryocytes (MKs) in bone marrow (BM) but reduced MKs in spleen, combined with significantly decreased platelet amounts, α-granule secretion, and reduced immature platelets; indicating that absence of platelet CD226 may disrupt MK/platelet homeostasis and arrested platelet release from MKs. Sequencing analysis showed abnormal ribosomal functions and much downregulated proteins in the absence of platelet CD226. Autophagy-related proteins were also reduced in the CD226-absent MKs/platelets. Moreover, deletion of platelet CD226 diminished the protective effects of PRP on DMM-induced cartilage lesions in mice, and PDGF restored it. Therefore, deficiency of platelet CD226 inhibited platelet maturation, secretion, and normal ribosomal functions, which may lead to depressed PRP efficacy on OA, suggesting that CD226 is required to regulate platelet growth, functions, and its application.

BackgroundOsteosarcoma (OS) is a highly malignant and aggressive bone tumor. This study was performed to explore the mechanisms of HuR (human antigen R) in the progression of OS.MethodsHuR expression levels in OS tissues and cells were detected by immunohistochemistry and western blotting. HuR siRNA was transfected into SJSA-1 OS cells to downregulate HuR expression, and then cell proliferation, migration, and epithelial-mesenchymal transition (EMT) were evaluated. RNA immunoprecipitation was performed to determine the association of the long non-coding RNA (lncRNA) XIST and argonaute RISC catalytic component (AGO) 2 with HuR. Fluorescence in situ hybridization analysis was performed to detect the expression of lncRNA XIST. Western blotting and immunofluorescence assays were performed to observe AGO2 expression after HuR or/and lncRNA XIST knockdown.ResultsKnockdown of HuR repressed OS cell migration and EMT. AGO2 was identified as a target of HuR and silencing of HuR decreased AGO2 expression. The lncRNA XIST was associated with HuR-mediated AGO2 suppression. Moreover, knockdown of AGO2 significantly inhibited cell proliferation, migration, and EMT in OS.ConclusionOur findings indicate that HuR knockdown suppresses OS cell EMT by regulating lncRNA XIST/AGO2 signaling.

Background Osteosarcoma (OS) is a highly malignant and aggressive bone tumor. This study was performed to explore the mechanisms of HuR (human antigen R) in the progression of OS. Methods HuR expression levels in OS tissues and cells were detected by immunohistochemistry and western blotting. HuR siRNA was transfected into SJSA-1 OS cells to downregulate HuR expression, and then cell proliferation, migration, and epithelial-mesenchymal transition (EMT) were evaluated. RNA immunoprecipitation was performed to determine the association of the long non-coding RNA (lncRNA) XIST and argonaute RISC catalytic component (AGO) 2 with HuR. Fluorescence in situ hybridization analysis was performed to detect the expression of lncRNA XIST. Western blotting and immunofluorescence assays were performed to observe AGO2 expression after HuR or/and lncRNA XIST knockdown. Results Knockdown of HuR repressed OS cell migration and EMT. AGO2 was identified as a target of HuR and silencing of HuR decreased AGO2 expression. The lncRNA XIST was associated with HuR-mediated AGO2 suppression. Moreover, knockdown of AGO2 significantly inhibited cell proliferation, migration, and EMT in OS. Conclusion Our findings indicate that HuR knockdown suppresses OS cell EMT by regulating lncRNA XIST/AGO2 signaling.

Background: Leukocyte-associated immunoglobulin-like receptor-1 (LAIR-1) is a collagen receptor belonging to the immunoglobulin superfamily. Although prior studies have evaluated the biological role of LAIR in solid tumors, the precise mechanisms underlying LAIR-1 functions as a regulator of tumor biological functions remains unclear. Methods: LAIR-1 expression was evaluated using an osteosarcoma (OS) tissue microarray by immunohistochemical analysis. Wound healing and Transwell assays were performed to evaluate tumor cell migration. Quantitative PCR and western blotting were conducted to detect the expression of epithelial-mesenchymal transition (EMT)-related molecules. RNA-sequencing (RNA-seq) was conducted to evaluate the mRNA expression profiles after overexpressing LAIR-1 in OS cells. Glucose uptake and glucose transporter (Glut) 1 expression in OS cells in vitro were evaluated by flow cytometry and western blotting. Results: LAIR-1 expression significantly differed between the T1 and T2 stages of OS tumors, and LAIR-1 overexpression inhibited OS cell migration. LAIR-1 expression was inversely correlated with the expression of EMT-associated transcription factors via the Forkhead box O1/Twist1 signal transduction pathway. Furthermore, RNA-seq and quantitative PCR demonstrated that EMT energy metabolism-related molecules were significantly reduced after LAIR-1 overexpression. Conclusions: Notably, overexpression of LAIR-1 in OS cells decreased Glut1 expression. These findings provide insight into the molecular mechanism underlying OS progression.

Supplementary Table 2. Primer sequence.

The strategy of introducing short-range intramolecular interactions was adopted to small organic molecular hole-transporting materials (HTMs) for perovskite solar cells (PSCs), which effectively modulates the molecular configuration for achieving higher carrier mobility and higher molecular planarity than the control. Upon incorporation of short-range fluorine-sulfur (F⋯S) intramolecular interactions and resulting SF-DTBT and DF-DTBT in comparison with DTBT based contrast, we realize a significant enhancement of molecular planarity, where the dihedral angle of the DF-DTBT is decreased to one-tenth with the introduction of short-range F⋯S intramolecular interactions compared with the DTBT. In addition, the fluorine atoms in molecule also enhance the electron-withdrawing ability of HTMs, which benefits deepening the HOMO energy level of HTMs and realizing higher Voc for PSCs. The hole mobility of DF-DTBT and SF-DTBT are increased by 159% and 71% compared to that of DTBT. Thus, the dopant-free DF-DTBT based PSCs achieve a high efficiency of 18.7% with a high Voc (1.1 V). This work demonstrates the great potential of engineering short-range intramolecular interaction in designing efficient hole transporting materials (HTMs) for perovskite solar cells (PSCs).

In this study, we observed that deletion of CD226 on regulatory T cells (Tregs) precedes renal fibrosis in a mouse unilateral ureteral obstruction (UUO) model. First, we generated Treg-specific CD226 gene knockout mice (CD226fl/fl Foxp3YFP-Cre). Next, CD226fl/fl Foxp3YFP-Cre mice and Foxp3YFP-Cre control mice were subjected to UUO surgery. Pathologic analysis and Sirius red and Masson's trichrome staining showed that the kidneys of CD226fl/fl Foxp3YFP-Cre mice following UUO showed much more severe interstitial fibrosis than Foxp3YFP-Cre control mice at days 10 and 20. Additionally, CD226fl/fl Foxp3YFP-Cre mice showed increased fibronectin expression, as demonstrated by immunohistochemistry (IHC) staining. Although Treg cell-restricted CD226 deficiency showed increased Foxp3+ expression, expression of the cell surface functional molecule CD103 was significantly reduced, indicating impaired homeostasis in the Tregs of CD226fl/fl Foxp3YFP-Cre mice. To better understand CD226 function, RNA sequencing (RNA-Seq) analysis was conducted in Tregs isolated from CD226fl/fl Foxp3YFP-Cre and Foxp3YFP-Cre mice. RNA-Seq data showed that the helper T cell (Th) 2-related cytokines IL-4 and IL-10 were significantly up-regulated in CD226 deficient Tregs. In addition, mRNA analysis of kidney samples from the mice following UUO by qPCR also showed increased IL-4 and IL-10 expression in CD226fl/fl Foxp3YFP-Cre mice, as well as elevated TGF-β1 levels, indicating that CD226 deficiency in Tregs resulted in the acquisition of the ability to produce Th2 cytokines. Finally, we found that microRNA-340 (miR-340), which was down-regulated in Tregs isolated from CD226fl/fl Foxp3YFP-Cre mice, directly regulated IL-4 gene expression in vitro. These data suggest that the promotion of CD226 signaling on Tregs is a therapeutic target for renal disease.

Intervertebral disc degeneration (IDD) induces serious back, neck and radicular pain. Recently, moxibustion has been suggested as an effective treatment for IDD. Thus, our study aims to investigate the molecular mechanism of moxibustion in IDD. A rat model of IDD was established by moxibustion treatment. Nucleus pulposus (NP) cells isolated from IDD rats or IDD rats treated with moxibustion were transfected with plasmids harboring overexpressed hypoxia-inducible factor-1 alpha (HIF-1α) to understand the role of treatment on cell autophagy and apoptosis. To investigate the mechanism of moxibustion in IDD, aggrecan, cyclo-oxygenase 2 (COX-2), HIF-1α and vascular endothelial growth factor (VEGF) expression in NP cells was measured. The expression of aggrecan and COX-2 was elevated by moxibustion treatment. Moxibustion induced autophagy and suppressed apoptosis of NP cells from IDD rats. Compared with IDD rats, the expression of light chain 3 (LC3) II/I, Beclin-1, B-cell lymphoma-2 (Bcl-2) and HIF-1α was regulated significantly after moxibustion treatment, while the expression of cleaved-caspase-3, Bcl-2 associated protein X and VEGF was downregulated. In general, moxibustion may be beneficial to IDD by enhancing autophagy and reducing apoptosis of NP cells via the HIF-1α/VEGF pathway.

CD226 is a co-stimulatory adhesion molecule found on immune and endothelial cells. Here, we evaluated a possible role for CD226 in inhibiting glucose uptake in isolated human umbilical vein endothelial cells (HUVECs) and in wild-type (WT) and CD226 knockout (KO) mice with high-fat diet (HFD)-induced type 2 diabetes (T2DM). CD226 expression increased under hyperglycemic conditions in the presence of TNF-α. Furthermore, CD226 knockdown improved glucose uptake in endothelial cells, and CD226 KO mice exhibited increased glucose tolerance. Levels of soluble CD226 in plasma were higher in T2DM patients following an oral glucose tolerance test (OGTT) than under fasting conditions. Our results indicate that low-grade inflammation coupled with elevated blood glucose increases CD226 expression, resulting in decreased endothelial cell glucose uptake in T2DM.

This study was conducted to investigate the effect of CD226 on the differentiation, activation, and polyploidization of megakaryocytes (MKs) and explore the potential mechanism. Dami (megakaryocyte line) cell maturation was induced by phorbol 12-myristate 13-acetate. CD226 was silenced by infection with a CD226-specific shRNA lentiviral vector. The mRNA level of CD226 was detected by qRT-PCR. The expressions of Dami cells surface CD226, MK specific markers CD41 and CD62P, and DNA ploidy in Dami cells and CD226 knockdown (KD) cells were evaluated by flow cytometry. The effect of CD226 on the expression of megakaryocyte-associated transcription factors was measured by western blot and confocal analysis. Transfection with CD226 shRNA lentivirus dramatically decreased the level of CD226 and expression of CD62 P in Dami cells. Silencing of CD226 caused morphological changes and differentiation retardation in low-ploidy MK. Furthermore, CD226 knockout (KO) mice exhibited increased 2N–4N low-ploidy MK and decreased ≥8N polyploidy. Interestingly, silencing of CD226 in megakaryocytic cells down-regulated the expression of early stage transcription factors includes GATA‐binding factor 1 (GATA-1) and friend leukemia integration 1 (FLI-1), but not late-stage nuclear factor, erythroid 2 (NF-E2). CD226 is involved in MKs activation and polyploidy cell cycle control.

Formation of macrophage-derived foam cells may mark the initial stages of atherosclerosis. We investigated the association between the expression of the leukocyte-associated immunoglobulin-like receptor 1 (LAIR-1) in macrophages and foam cell formation. A foam cell model was established by incubating THP-1-derived macrophages and bone marrow macrophages (BMMs) with oxidized low-density lipoprotein (ox-LDL). The role of LAIR-1 in foam cell formation was evaluated via Oil Red O staining and Dil-ox-LDL fluorescence intensities. Peroxisome proliferator-activated receptor gamma (PPARγ), cholesterol metabolism-related genes, and the role of LAIR-1 in activating classically activated (M1) and alternatively activated (M2) macrophages were evaluated by qPCR. Additionally, activation of protein-tyrosine phosphatase-1 (SHP-1) and cAMP-response element binding protein (CREB) were detected by western blotting. Results indicated that silencing LAIR-1 in macrophages modulated the SHP-1/CREB/PPARγ pathway, thereby promoting M2 macrophage polarization and increasing foam cell formation. Therefore, Inhibition of LAIR-1 in macrophages may promote foam cell formation and atherosclerosis.

User-generated social media data are exploding and of high demand in public and private sectors. The disclosure of intact social media data exacerbates the threats to user privacy. In this paper, we first identify a text-based user-linkage attack on current data outsourcing practices, in which the real users in an anonymized dataset can be pinpointed based on the users' unprotected text data. Then we propose a framework for differentially privacy-preserving social media data outsourcing for the first time in literature. Within our framework, social media data service providers can outsource perturbed datasets to provide users differential privacy while offering high data utility to social media data consumers. Our differential privacy mechanism is based on a novel notion of E - text indistinguishability, which we propose to thwart the text-based user-linkage attack. Extensive experiments on real-world and synthetic datasets confirm that our framework can enable high-level differential privacy protection and also high data utility.

Due to the limitation of energy resources, energy efficiency is a key issue in wireless sensor networks (WSNs). Clustering or shortest routing are proved to be an important way to improve the scalability and prolong the lifetime of wireless sensor networks, but rarely consider the energy efficient and the shortest path at the same time. In this paper, we propose an energy efficient least spanning routing tree algorithm (EELSRT) based on clustering and virtual grid ideas to prolong network lifetime and shorten path while emphasizing energy conservation at the same time. Selecting cluster head includes initialization stage ,dynamic selecting active node and dynamic selecting head stage, namely, partitions the whole network to many cluster and divides each cluster into N?N grid which there is only one active node and others are sleeping, the active node is responsible for receiving, sending and updating table in its grid ,the cluster head is dynamic generates from all active nodes, head is responsible for receiving, sending and maintaining information in its cluster. Then all cluster heads dynamic constructs a least spanning routing tree to prolong network lifetime, save energy and shorten path. Simulation results show that the performance of EELSR on lifetime and energy consumption have further improved by using clustering and least spanning tree, It is a promising approach and deserves more future research.

Proximity-based mobile social networking (PMSN) refers to the social interaction among physically proximate mobile users. The first step toward effective PMSN is for mobile users to choose whom to interact with. Profile matching refers to two users comparing their personal profiles and is promising for user selection in PMSN. It, however, conflicts with users' growing privacy concerns about disclosing their personal profiles to complete strangers. This paper tackles this open challenge by designing novel fine-grained private matching protocols. Our protocols enable two users to perform profile matching without disclosing any information about their profiles beyond the comparison result. In contrast to existing coarse-grained private matching schemes for PMSN, our protocols allow finer differentiation between PMSN users and can support a wide range of matching metrics at different privacy levels. The performance of our protocols is thoroughly analyzed and evaluated via real smartphone experiments.

Distributed stream monitoring has numerous potential applications in future smart cities. Communication efficiency, and data privacy are two main challenges for distributed stream monitoring services. In this paper, we propose PriStream, the first communication-efficient and privacy-preserving distributed stream monitoring system for thresholded PERCENTILE aggregates. PriStream allows the monitoring service provider to evaluate an arbitrary function over a desired percentile of i distributed data reports and monitor when the output exceeds a predetermined system threshold. Detailed theoretical analysis and evaluations show that PriStream has high accuracy and communication efficiency, and differential privacy guarantees under a strong adversary model.

A salamander is an ideal animal for studying the spinal locomotor network mechanism of vertebrates from an evolutionary perspective since it represents the transition from an aquatic to a terrestrial animal. However, little is known about the spinal locomotor network of a salamander. A spinal locomotor network model is a useful tool for exploring the working mechanism of the spinal networks of salamanders. A new spinal locomotor network model for a salamander is built for a three-dimensional (3D) biomechanical model of the salamander using a novel locomotion-controlled neural network model. Based on recent experimental data on the spinal circuitry and observational results of gaits of vertebrates, we assume that different interneuron sets recruited for mediating the frequency of spinal circuits are also related to the generation of different gaits. The spinal locomotor networks of salamanders are divided into low-frequency networks for walking and high-frequency networks for swimming. Additionally, a new topological structure between the body networks and limb networks is built, which only uses the body networks to coordinate the motion of limbs. There are no direct synaptic connections among limb networks. These techniques differ from existing salamander spinal locomotor network models. A simulation is performed and analyzed to validate the properties of the new spinal locomotor networks of salamanders. The simulation results show that the new spinal locomotor networks can generate a forward walking gait, a backward walking gait, a swimming gait, and a turning gait during swimming and walking. These gaits can be switched smoothly by changing external inputs from the brainstem. These properties are consistent with those of a real salamander. However, it is still difficult for the new spinal locomotor networks to generate highly efficient turning during walking, 3D swimming, nonrhythmic movements, and so on. New experimental data are required for further validation.

Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior while mimicking the interactions among normal OSN users to reduce their individual risk of being detected. We demonstrate the effectiveness and advantages of exploiting a social botnet for spam distribution and digital-influence manipulation through real experiments on Twitter and also trace-driven simulations. We also propose the corresponding countermeasures and evaluate their effectiveness. Our results can help understand the potentially detrimental effects of social botnets and help OSNs improve their bot(net) detection systems., Comment: 14 pages, revision from TDSC

The northern piedmont belt of the Taibei Sag is one of the oil rich structural belts in the Turpan-Hami Basin. Based on the interpretation of seismic cross sections and the analyses of discovered hydrocarbon accumulations, the geologic structure can be divided into six structural styles, thrust-imbricate structure, imbricate fan structure, thrust-opposite structure, pop-up structure, forward thrust structure and duplex structure. According to the study of the distribution regularity of the structural styles, the fold thrust belt controlled by three levels tectonic transform zones is characterized by zonation from the south to the north and segmentation from the west to the east, and it can be classified into thrust-nappe belt, breaking belt and frontal belt by mechanism of tectonic deformation. The leading edge with two accumulation forming models which are the leading edge pop-up model and the leading edge imbricate fan model is the most favorable hydrocarbon enriched belt in the northern margin of the Taibei Sag. The thrust-opposite structures in the rear edge of the deformable zone have good preservation, potential source kitchen on the footwall, higher fault dip, and good communication of sandbodies. They are the next favorable exploration structures. Key words: structural style, thrust faults system, structural deformation belt, tectonic transform zone, accumulation forming model

Influential users have great potential for accelerating information dissemination and acquisition on Twitter. How to measure the influence of Twitter users has attracted significant academic and industrial attention. Existing influential measurement techniques, however, are vulnerable to sybil users that are thriving on Twitter. Although sybil defenses for online social networks have been extensively investigated, they commonly assume unique mappings from human-established trust relationships to online social associations and thus do not apply to Twitter where users can freely follow each other. This paper presents TrueTop, the first sybil-resilient system to measure the influence of Twitter users. TrueTop is firmly rooted in two observations from real Twitter datasets. First, although non-sybil users may incautiously follow strangers, they tend to be more careful and selective in retweeting, replying to, and mentioning other Twitter users. Second, influential users usually get much more retweets, replies, and mentions than non-influential users. Detailed theoretical studies and synthetic simulations show that TrueTop can generate very accurate influence measurement results and also have strong resilience to sybil attacks., Accepted by IEEE/ACM Transactions on Networking. This is the Final version

Twitter is an extremely popular social networking platform. Most Twitter users do not disclose their locations due to privacy concerns. Although inferring the location of an individual Twitter user has been extensively studied, it is still missing to effectively find the majority of the users in a specific geographical area without scanning the whole Twittersphere, and obtaining these users will result in both positive and negative significance. In this paper, we propose LocInfer, a novel and lightweight system to tackle this problem. LocInfer explores the fact that user communications in Twitter exhibit strong geographic locality, which we validate through large-scale datasets. Based on the experiments from four representative metropolitan areas in U.S., LocInfer can discover on average 86.6% of the users with 73.2% accuracy in each area by only checking a small set of candidate users. We also present a countermeasure to the users highly sensitive to location privacy and show its efficacy by simulations., Comment: Accepted by IEEE Conference on Communications and Network Security (CNS) 2015