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Ischemic stroke (IS) accounts for most of the cases of stroke onset, and due to short therapeutic time window for thrombolysis and numerous limited treatment measures and contraindications, lots of patients cannot receive satisfying therapeutic effects resulting in high disability and mortality worldly. In recent years, extracellular vesicles (EVs), as nanosized membrane-structured vesicles secreted from almost all cells, especially from stem/progenitor cells, have been reported to exert significant beneficial effects on IS from multiple approaches and notably ameliorate neurological outcome. Moreover, based on nano-size and lipid bilayer structure, EVs can easily penetrate the blood-brain barrier and migrate into the brain. In this review, we mainly systematically summarize the therapeutic effects of EVs on IS and explore their potential applications. Simultaneously, we also discuss administration routines, dosages, experimental observation time, and some key issues of EV application during IS treatment. It contributes to a comprehensive understanding of the progress of EV treatment for IS and providing confident evidence for further EV clinical application widely.

Convenient transportation and the large flow of residents in the city give rise to the wide spread of COVID-19. Data collection plays a crucial role in determining the effectiveness of the control of the pandemic. The pandemic is not only a serious problem in large cities, but also hitting medium-sized cities. Macau is a typical medium-sized city where the pandemic has been under effective control with comprehensive data collection. This thesis will conduct in-depth research on the collection and application of the statistics about COVID-19 in Macau. Macau collects data through the border, incorporating NAT (nucleic acid testing) data and health codes into daily-used mobile applications, which features a network with real-time updates and sharing. This thesis will connect to the construction of smart cities to provide ideas for handling large-scale public health issues in medium-sized cities.

This article presents a single switch DC-DC boost converter using diode-capacitor (DC) modules and capacitor-inductor-capacitor (CLC) lifts. This topology can step-up the voltage of battery-input s...

This report summarizes the outcome of a workshop, “Multimodal Synchrotron Approach—Research Needs and Scientific Vision,” held during the National Synchrotron Light Source–II (NSLS-II)/Center for F...

Traumatic osteonecrosis of femoral head (TONFH) is a common orthopedic disease caused by physical injury in hip. However, the unclear pathogenesis mechanism of TONFH and lacking of simple noninvasive early diagnosis method cause the necessity of hip replacement for most patients with TONFH. In this study, we aimed to identify circulating microRNAs (miRNAs) by integrated bioinformatics analyses as potential biomarker of TONFH. mRNA expression profiles were downloaded from the Gene Expression Omnibus database. Then we combined two miRNA screen methods: Weighted gene co-expression network analysis and fold change based differentially expressed miRNAs analysis. As a result, we identified 14 key miRNAs as potential biomarkers for TONFH. Besides, 302 target genes of these miRNAs were obtained and the miRNA-mRNA interaction network was constructed. Furthermore, the results of Kyoto Encyclopedia of Gene and Genome pathway analysis, Gene Ontology function analysis, protein-protein interaction (PPI) network analysis and PPI network module analysis showed close correlation between these 14 key miRNAs and TONFH. Then we established receiver operating characteristic curves and identified 6-miRNA signature with highly diagnosis value including miR-93-5p (area under the curve [AUC] = 0.93), miR-1324 (AUC = 0.92), miR-4666a-3p (AUC = 0.92), miR-5011-3p (AUC = 0.92), and miR-320a (AUC = 0.89), miR-185-5p (AUC = 0.89). Finally, the results of quantitative real-time polymerase chain reaction confirmed the significantly higher expression of miR-93-5p and miR-320a in the serum of patients with ONFH. These circulating miRNAs could serve as candidate early diagnosis markers and potential treatment targets of TONFH.

Background Qingwei San (QWS), one of classic Chinese Medicine prescripts, has been widely used to treat stomach heat syndrome which manifests oral ulcer (OU), periodontitis and upper gastrointestinal bleeding for seven hundred years. However, the therapeutic effects of QWS on diabetic OU subjected to stomach heat syndrome are still ambiguous. In the study, we investigated the pharmacological mechanisms. Methods The main components of QWS aqueous extract were analyzed by LC–MS, and potential pathways of QWS targeting OU were predicted by network pharmacology. The db/db mice were administered with the decoction of dried Zingiber officinale Rosc. rhizome combined with NaOH cauterization to establish the model of diabetic OU subjected to stomach heat syndrome. Subsequently, the model mice were treated with QWS, and OU wound healing status were recorded. The pathological changes of gastric tissue and oral mucosa were evaluated using hematoxylin–eosin staining, and the morphology of collagen fibers in oral mucosa was assessed by Masson staining. The levels of thromboxane B2 (TXB2), 6-Keto-prostaglandin F1α (6-keto-PGF1α), interleukin-1 β (IL-1β), IL-2, IL-6, tumor necrosis factor-α (TNF-α), β-endorphin (β-EP) and 5-Hydroxytryptamine (5-HT) were determined by ELISA assay. The protein expressions of Toll-like receptor 4 (TLR4), TNF receptor associated factor 6 (TRAF6), myeloid differentiation factor 88 (MyD88), inhibitor of NF-κB alpha (IκΒα), p-IκΒα and nuclear factor kappa-B (NF-κB) p65 were measured by Western Blotting. Results A total of 183 compounds in QWS were identified by LC–MS, and identified 79 bioactive compounds corresponded to 269 targets and 59 pathways. QWS high-dose treatment significantly reduced the level of TXB2 and the ratio of TXB2/6-keto-PGF1α. Meanwhile, it improved mucosal pathological morphology, and reduced the area of OU and local edema. Simultaneously, the levels of TNF-α, IL-1β, IL-6, IL-2 and 5-HT, and the expressions of TLR4, TRAF6, MyD88, p-IκΒα and NF-κB p65 were decreased. Conclusion QWS treatment facilitates the healing of OU, ameliorates pathological morphologies of gastric and oral mucosa and decreases the levels of pro-inflammatory cytokines in db/db mice subjected to stomach heat syndrome, whose mechanism may be associated with the inhibition of TLR4/MyD88/NF-κB signaling pathway to exert anti-inflammatory effects.

Tacrolimus (FK506) and rapamycin (RAPA) are widely used to maintain long‐term immunosuppression after organ transplantation. However, the impact of accumulative drug administration on the recipients’ immune systems remains unclear. We investigated the impact of 3‐year FK506 or RAPA treatment after renal transplantation on the human immune systems. A discovery cohort of 30 patients was first recruited, and we discovered two distinctive T lineage suppressive regulatory patterns induced by chronic treatment of FK506 and RAPA. The increased percentage of senescent CD8+CD57+ T lineages and less responsive T cell receptor (TCR) pathway in the FK506 group indicate better graft acceptance. Meanwhile, percentages of regulatory T cells (Tregs) and expression of CTLA‐4 were both up to two‐fold higher in the RAPA group, suggesting the inconsistent reactivation potential of the FK506 and RAPA groups when an anti‐tumour or anti‐infection immune response is concerned. Additionally, up‐regulation of phosphorylated signaling proteins in T lineages after in vitro CD3/CD28 stimulation suggested more sensitive TCR‐signaling pathways reserved in the RAPA group. An independent validation cohort of 100 renal transplantation patients was further investigated for the hypothesis that long‐term RAPA administration mitigates the development of tumours and infections during long‐term intake of immunosuppressants. Our results indicate that RAPA administration indeed results in less clinical oncogenesis and infection. The deep phenotyping of T‐cell lineages, as educated by the long‐term treatment of different immunosuppressants, provides new evidence for personalized precision medicine after renal transplantations., Graphical Highlights 1. Different impacts of FK506 and RAPA on immune systems of renal transplantation recipients lead to different cell subsets involved in immunosuppression. 2. The suppressive subsets in the FK506 group are mainly CD57+ senescent T cells, percentage of which was about half in the RAPA group, and TCR signaling pathway is less likely to be activated under CD3/CD28 stimulation. 3. Meanwhile, the percentage of regulatory T cells and the expression of CTLA‐4 were more abundant in the RAPA group.

Background Our objective was to obtain normal patellofemoral measurements to analyse sex and individual differences. In addition, the absolute values and indices of tibial tuberosity-trochlear groove (TT-TG) distances are still controversial in clinical application. A better method to enable precise prediction is still needed. Methods Seventy-eight knees of 78 participants without knee pathologies were included in this cross-sectional study. A CT scan was conducted for all participants and three-dimensional knee models were constructed using Mimics and SolidWorks software. We measured and analysed 19 parameters including the TT-TG distance and dimensions and shapes of the patella, femur, tibia, and trochlea. LASSO regression was used to predict the normal TT-TG distances. Results The dimensional parameters, TT-TG distance, and femoral aspect ratio of the men were significantly larger than those of women (all p values p values > 0.05). The Pearson correlation coefficients between the anterior femoral offset and other indexes were consistently below 0.3, indicating no relationship or a weak relationship. Similar results were observed for the sulcus angle and the Wiberg index. Using LASSO regression, we obtained four parameters to predict the TT-TG distance (R2 = 0.5612, p Conclusions Normative data of patellofemoral morphology were provided for the Chinese population. The anterior-posterior dimensions of the women were thicker than those of men for the same medial-lateral dimensions. More attention should be paid to not only sex differences but also individual differences, especially the anterior condyle and trochlea. In addition, this study provided a new method to predict TT-TG distances accurately.

Background The leakage of blood-brain barrier (BBB) is main pathophysiological change in acute stage of ischemic stroke, which not only deteriorates neurological function, but also increases the risk of hemorrhagic transformation after thrombolysis. Purpose/Study Design This article investigates the efficacy of Notoginsenoside R1, an active ingredient of Panax notoginseng, on BBB permeability and explores related mechanisms after acute ischemic stroke. Methods In vivo, male Sprague-Dawley rats (260–280 g) were selected and randomly divided into 6 groups: sham group, model group, low, middle and high doses of Notoginsenoside R1 groups and positive drug Dl-3-n-Butylphthalide group. Except for sham group, rats were performed with permanent middle cerebral artery occlusion model in each group. Twelve hours later, rats were evaluated for Bederson neurological function, and BBB integrity by Evans blue leak imaging; Triphenyltetrazolium chloride staining was used to detect the volume of cerebral infarction. Frozen sections of rats’ brain tissue were prepared for detection of MMPs activity in situ zymography. Peripheral tissue of cerebral infarction was collected and tested the expression of MMP2, 9 and tight junction proteins (zo1, claudin5, occludin) by western blot. In vitro, transwell endothelial barrier model was established by bEnd.3 cells. Oxygen glucose deprivation (OGD) was chosen to simulate the hypoxic environment. Suitable OGD stimulation time as well as Notoginsenoside R1 and Dl-3-n-Butylphthalide optimal dose concentrations were determined through transwell leakage and CCK8 assay. Furthermore, endothelial subcellular component proteins were extracted. The change of zo1, claudin5, occludin and caveolin1 was detected by western blot. Results Notoginsenoside R1 treatment significantly reduced BBB leakage and cerebral infarction volume, weakened neurological deficits in post-stroke rats. Moreover, it inhibited the activity of MMPs in infarcted cortex and striatum, down-regulated MMP2, 9 and up-regulated zo1 and claudin5 expressions in penumbra. In vitro, Notoginsenoside R1 treatment decreased OGD-induced endothelial barrier permeability, restored expressions of zo1, claudin5 on cellular membrane and cytoplasm, as well as mediated membrane redistribution of occludin and caveolin1 from actin cytoskeletal fraction. Conclusions Notoginsenoside R1 treatment attenuates BBB permeability, cerebral infarction volume and neurological impairments in rats with acute cerebral ischemia. The mechanisms might be related to intervening degradation and redistribution of zo1, caludin5 and occludin by caveolin1/ MMP2/9 pathway. More effects and mechanisms of Notoginsenoside R1 on rehabilitation of stroke are worthy to be explored in the future.

Background Osteoarthritis (OA) is a disease of the entire joint involving synovial fibrosis and inflammation. Pathological changes to the synovium can accelerate the progression of OA. Pirfenidone (PFD) is a potent anti-fibrotic drug with additional anti-inflammatory properties. However, the influence of PFD on OA is unknown. Methods Proliferation of human fibroblast-like synoviocytes (FLSs) after treatment with TGF-β1 or PFD was evaluated using a Cell Counting Kit-8 assay and their migration using a Transwell assay. The expression of fibrosis-related genes (COL1A1, TIMP-1, and ACTA-2) and those related to inflammation (IL-6 and TNF-α) was quantified by real-time quantitative PCR. The protein expression levels of COL1A1, α-SMA (coded by ACTA-2), IL-6 and TNF-α were measured by enzyme-linked immunosorbent assay. A rabbit model of OA was established and then PFD was administered by gavage. The expression of genes related to fibrosis (COL1A1, TIMP-1, and ADAM-12) and inflammation (IL-6 and TNF-α) was measured using RNA extracted from the synovium. Synovial tissue was examined histologically after staining with H&E, Masson’s trichrome, and immunofluorescence. Synovitis scores, the volume fraction of collagen, and mean fluorescence intensity were calculated. Degeneration of articular cartilage was analyzed using a Safranin O-fast green stain and OARSI grading. Results The proliferation of FLSs was greatest when induced with 2.5 ng/ml TGF-β1 although it did not promote their migration. Therefore, 2.5 ng/ml TGF-β1 was used to stimulate the FLSs and evaluate the effects of PFD, which inhibited the migration of FLSs at concentrations as low as 1.0 mg/ml. PFD decreased the expression of COL1A1 while TGF-β1 increased both mRNA and protein expression levels of IL-6 but had no effect on α-SMA or TNF-α expression. PFD decreased mRNA expression levels of COL1A1, IL-6, and TNF-α in vivo. H&E staining and synovitis scores indicated that PFD reduced synovial inflammation, while Masson’s trichrome and immunofluorescence staining suggested that PFD decreased synovial fibrosis. Safranin O-Fast Green staining and the OARSI scores demonstrated that PFD delayed the progression of OA. Conclusions PFD attenuated synovial fibrosis and inflammation, and postponed the progression of osteoarthritis in a modified Hulth model of OA in rabbits, which was related to its anti-fibrotic and anti-inflammatory properties.

Plasmonic antennas and metasurfaces can effectively control light-matter interactions, and this facilitates a deterministic design of optical materials properties, including structural color. However, these optical properties are generally fixed after synthesis and fabrication, while many modern-day optics applications require active, low-power, and nonvolatile tuning. These needs have spurred broad research activities aimed at identifying materials and resonant structures capable of achieving large, dynamic changes in optical properties, especially in the challenging visible spectral range. In this work, we demonstrate dynamic tuning of polarization-dependent gap plasmon resonators that contain the electrochromic oxide WO3. Its refractive index in the visible changes continuously from n = 2.1 to 1.9 upon electrochemical lithium insertion and removal in a solid-state device. By incorporating WO3 into a gap plasmon resonator, the resonant wavelength can be shifted continuously and reversibly by up to 58 nm with less than 2 V electrochemical bias voltage. The resonator can remain in a tuned state for tens of minutes under open circuit conditions.

A novel high voltage gain non-isolated boost converter based on the normal quadratic boost converter topology is introduced. In the referenced circuit, a powerful charging capacitor can pow...

Diabetic nephropathy (DN) is one of general and common complication of diabetes, which severely affects the physical and mental health of diabetic patients. Fibroblast growth factor 1 (FGF1), an effective control agent of blood glucose, plays an effective treatment role on diabetes‐induced renal injury. But the specific molecule mechanism underlying it is still unclear. Since induction of cellular stress is the main and common mechanism of diabetes‐induced complication, we hypothesized that reduction of cellular stress is also the molecular mechanism of FGF1 treatment for DN. Here, we have further confirmed that FGF1 significantly ameliorated the diabetes‐induced renal interstitial fibrosis and glomerular damage. The expression levels of collagen and α‐smooth muscle actin (α‐SMA) also dramatically induced in kidney from db/db mice, but these effects were blocked by FGF1 administration. Our mechanistic investigation had further revealed that diabetes significantly induced oxidative stress, nitrosative stress, and endoplasmic reticulum (ER) stress with upregulation of malondialdehyde (MDA), nitrotyrosine level, ER stress makers and downregulation of antioxidant capacity (AOC). FGF1 treatment significantly attenuated the effect of diabetes on cellular stress. We conclude that FGF1‐associated glucose decreases and subsequent reduction of cellular stress is the another potential molecule mechanism underlying FGF1 treatment for DN.

Infrared focal plane arrays imaging system tend to be affected by the interior thermal radiation that drifts slowly over the time, resulting in the continuous spatial low-frequency nonuniformity noise in the image. In this paper, a scene-based nonuniformity correction method for interior thermal radiation is proposed. The gradient domain least mean square (LMS) algorithm is used to estimate the gradient caused by the interior radiation noise according to the fixed spatial low-frequency information in multiframe images. After that, the calibration parameters are obtained by fitting the derivatives of the polynomial-based correction model with the calculated gradient image. The performance of the proposed method is thoroughly studied with infrared image sequences with simulated nonuniformity and real nonuniformity. The results show that the proposed algorithm can remove interior radiation noise more completely without ghosting artifacts than the state-of-art algorithms and is more robust to different scenarios.

The deforestation and burning of the Amazon and other rainforests is having a cascade of effects on global climate, biodiversity, human health and local and regional socioeconomics. This challenging situation demands a sustainable exploitation of the region's resources in accordance with the United Nations (UNs) Sustainable Development Goals (SDGs) in order to meet Good Environmental Status and reduce poverty. The management of forests sustainability spans across at least eight of the 17 UN SDGs mainly to combat desertification, halt biodiversity loss, and reverse land degradation. Significant changes are needed if we are to sustain the world's rainforests and thereby the global climate and biodiversity. These measures and mitigations are of global responsibility requiring both developed and developing nations such as the United States, EU, and China to change their policies and stand regarding their high demand for meat and hardwood. When possible, non-profit tree-planting internet browsers should be implemented by governments and institutions. So far, there is a lack of active use of the UN SDGs and the countries must therefore need to fully adopt the UN SDGs in order to help the situation. One way to enforce this could be through imposing economic penalties to governments and national institutions that do not adhere to for example publishing open access of data and other important information relevant for the mission of the UN SDGs.

Solar light-driven water splitting provides a promising way to store and use abundant solar energy in the form of gaseous hydrogen which is the cleanest chemical fuel for mankind; therefore this field has been attracting increasing attention over the past decades. The fundamental steps for efficient photocatalyst for water splitting include uptake of photons of targeted energy range by appropriate electronic band structure, excited electrons and holes (excitons) migration, as well as recombination and selective conversion excited electrons for H+ reduction to H2 and holes and OH− to O2 on catalyst surface. Each step if not efficiently taken place could hamper the overall photocatalytic activity. Numerous semiconductors with appropriate bandgaps have mainly been developed as candidates for effective solar energy capture, whereas at present, their low quantum efficiency still remains as the major obstacle in further applications. In this minireview, we will disentangle the progress to develop photocatalysts with good photon uptake from photocatalytic water splitting performance. In accordance with the thermodynamic and kinetic considerations of the photocatalytic water splitting reaction, different strategies for improving the fundamental processes have been briefly reviewed. Some recent advances in facilitating charge carriers separation have also been presented. Photocatalytic water splitting at elevated temperatures is emphasized as a novel approach to suppress photo-excitons recombination on catalyst surface owing to adsorption of enhanced concentration of ionic species including H+ and OH− to create their local polarization to the excitons. Stronger polarization to hinder the excitons recombination can also be obtained by using polar-faceted support materials to the active phase of semiconductor. It is clearly demonstrated in this minireview that such high temperature–promoted photocatalytic water splitting systems could open up a new direction and provide a new innovation to this field.

Type-2 diabetes (T2D) is a common metabolic disorder, which causes several physiological and pathological complications. Spleen is regarded as an important organ, which regulates immune system and iron metabolism in the body. Precious few studies have been conducted to explore the pathological and deleterious roles of diabetes on spleen. In our current study, we have explored and confirmed the pathological effects of diabetes on spleen in db/db experimental mice model. In our current study, 0.5 mg/kg fibroblast growth factor 1 (FGF1) dose was intraperitoneally administrated to db/db mice. We found that diabetes evidently induced spleen enlargement and fibrosis progression in the db/db mice. Additionally, our studies demonstrate that iron has hugely deposited in the spleen in db/db mice. Several studies have documented that diabetes largely disrupts the inflammatory cells distribution, immune homeostasis, proliferation and oxidative stress with the down-regulation of anti-inflammatory cytokines and antioxidant activities. Moreover, we have observed that FGF1 administration significantly reversed the deleterious effect of diabetes on spleen enlargement and dysfunction. In summary, these substantial findings clearly demonstrate that diabetes plays deleterious roles in maintaining the spleen structure and functions. Therefore, our investigations suggest that FGF1 can effectively prevent diabetes-mediated splenomegaly progression.

Rationale: Dyke-Davidoff-Masson syndrome (DDMS) is a rare syndrome commonly occurring in children and characterized by cerebral hemiatrophy, hypertrophy of the skull, epilepsy, and mental retardation.[1,2] However, few have been reported in China, especially in teenagers. This case investigated its possible cause and explored a relative effective solution. Patient concerns: A 24-year-old female came to department having experienced recurrent seizures for 12 years. Diagnosis: DDMS was diagnosed from its manifestations, biochemistry indexes, and imaging (computed tomography angiography, magnetic resonance venography, and so on). Interventions: Several drugs are used to treat the disease, including valproate, carbamazepine, topiramate, and ginkgo biloba extract. Outcomes: Under the medicine treatment of magnesium valproate with carbamazepine, the patient experienced partial seizures approximately once per month that lasted 30 to 60 seconds each without any complications observed during a follow-up period of 24 months. Conclusion: The imaging and clinical features of DDMS in this teenager were similar to those in classic infantile-onset cases. A potential cause of the disease could be brain trauma, which impaired the middle cerebral artery and reduced cerebral blood supply, leading to epilepsy and hemiatrophy. Lessons: It was concluded early diagnosis and pharmacotherapy are the keys to preventing intellectual decline in DDMS patients. Moreover, the combination of magnesium valproate and carbamazepine could significantly reduce the frequency and duration of seizures, despite not eliminating them completely.

Chile's individual retirement pension accounts system has been a model for many countries. To limit the riskiness of pension investments, Chile required pension fund managers to deliver returns that are not more than 2% below the industry average. We develop and estimate a model of the pension investment market that allows us to study the impact of minimum return regulation. We find that the regulation leads to higher demand for risky investments, creates incentives to offer riskier portfolios, and leads to higher management fees. However, the regulation also stimulates balance accumulation that ultimately reduces the reliance on government support.

Minimizing the breakdown voltage and discharge current required to initiate direct in-liquid discharges, thus lowering power-source requirements and avoiding electrode ablation, is crucial for industrial applications of in-liquid plasmas. Here we demonstrate such considerable reductions by employing movable electrodes, without changing the electrode configuration or increasing the system complexity. The new mechanism is based on electrostatic electrode attraction resulting in a reduction in the discharge spacing by up to 6 times and facilitating a plasma initiation at lower breakdown voltages. The accumulated charges consumed by the discharge revert the electrodes to the initial positions, forming a gliding arc between the enlarged gaps and thus inhibiting current increases and electrode ablation.

In this work, the organic light-emitting diodes (OLEDs) based on Alq3 are fabricated. In order to make clear the transport mechanism of carriers in organic light-emitting devices at low temperature, detailed electroluminescence transient response and the current-voltage–luminescence (I–V–L) characteristics under different temperatures in those OLEDs are investigated. It founds that the acceleration of brightness increases with increasing temperature is maximum when the temperature is 200 K and it is mainly affected by the electron transport layer (Alq3). The MoO3 injection layer and the electroluminescent layer have great influence on the delay time when the temperature is 200 K. Once the temperature is greater than 250 K, the delay time is mainly affected by the MoO3 injection layer. On the contrary, the fall time is mainly affected by the electroluminescent material. The Vf is the average growth rate of fall time when the temperature increases 1 K which represents the accumulation rate of carriers. The difference between Vf caused by the MoO3 injection layer is 0.52 us/K and caused by the electroluminescent material Ir(ppy)3 is 0.73 us/K.

Diabetic peripheral neuropathy (DPN) is one of the most common and troublesome complications of diabetes mellitus. It has been demonstrated that nerve growth factor (NGF) exerts a pivotal role in the regulation of neuronal growth and the promotion of DPN recovery. However, the exact molecular mechanisms are not well understood. Recent studies have indicated that as a novel therapeutic target, endoplasmic reticulum (ER) stress participates in the onset and progression of DPN. In the present study, it has been demonstrated that NGF prevents the sciatic nerve from degeneration and demyelination in DPN rats. Thus, RSC 96 cells, which retain the characteristic features of Schwann cells (SCs), were cultured in medium containing 30 mM glucose (high glucose, HG) to mimic SCs in DPN mice. The 50-ng/ml dose of NGF was identified to be the optimal concentration for treating an excessive ER stress level under HG conditions for 24 h. We found that NGF treatment significantly inhibits HG-induced ER stress and subsequently suppresses ER-related apoptosis. Further, NGF administration also activates the upstream signaling pathway of ER stress, PI3K/Akt/GSK3β signaling and ERK1/2 signaling. Co-treatment with the PI3K inhibitor LY294002 or ERK1/2 inhibitor U0126 significantly reverses the protective role of NGF on HG-induced excessive ER stress and subsequent apoptosis. These observations suggest that the neuroprotective role of NGF in DPN is mediated by the inhibition of excessive ER stress via the activation of the PI3K/Akt/GSK3β and ERK1/2 signaling pathways.

Creating a microenvironment at the injury site that favors axonal regrowth and remyelinationis pivotal to the success of therapeutic reinnervation. The mature myelin sheath of the peripheral nervous system depends on active participation of Schwann cells to form new cytoskeletal components and tremendous amounts of relevant neurotrophic factors. In this study, we utilized a new biomaterial for growth factor delivery consisting of a biocompatible polycation, poly(ethylene argininylaspartatediglyceride) and heparin. It is capable of binding a variety of growth factors to deliver basic fibroblast growth factor (bFGF) through polyvalent ionic interactions for nerve repair. In vitro assays demonstrated that the bFGF loading efficiency reached 10 μg and this delivery vehicle could control the release of bFGF. In vivo, the coacervate enhanced bFGF bioavailability, which improved both motor and sensory function. It could also acceleratemyelinated fiber regeneration and remyelination and promote Schwann cells proliferation. Furthermore, the neuroprotective effect of bFGF-coacervate in sciatic nerve injury was associated with the alleviation of endoplasmic reticulum stress signal. This heparin-based delivery platform leads to increased bFGF loading efficiency and better controls its release, which will provide an effective strategy for peripheral nerve injury regeneration therapy.

Space charge capacitance and the physical mechanism of negative capacitance in organic light-emitting diodes (OLEDs) by transient current response analysis are investigated for the first time. Space charge capacitance is found to be a fixed value as voltage increases for each device. The inflection points in capacitance–voltage curves correspond to carrier injection, transportation and combination processes in organic layers. A negative capacitance effect at low frequency relates to the internal accumulated carrier state in the OLEDs. The nonsynchronicity between the phases of the internal accumulated carriers’ states changing and the small alternating current leads to electric field reversal. Only the electric field reversal at low frequency results in a negative capacitance effect.

Diabetes triggers abnormal ovarian follicular development and consequently leads to infertility. Here, we established a type 2 diabetes mouse model by feeding with high fat diet (HFD) for 15/20 weeks and assessed the effect of diabetes on follicular development and ovarian angiogenesis. After fed with HFD for 15 weeks, mice had the characteristics of type 2 diabetes, which was much more serious after 20 weeks on HFD. After 20 weeks on HFD, the mice had shown abnormal ovarian morphology with hyaline appearance, much less blood vessel, follicular development arrest and less of granulosa cells (GCs) in mature follicles, but not in ovaries from 15 weeks on HFD. Elevated makers of DNA damage, ER stress and apoptosis of GCs were observed in ovaries from HFD for 20 weeks. Additionally, diabetes significantly suppressed ovarian angiogenesis with the evidence of down-regulation of CD31 via inhibiting HIF1α-VEGF signaling pathway in time-dependent. We concluded that diabetes triggers abnormal ovarian function via inducing GCs apoptosis and suppressing ovarian angiogenesis.

Introduction: It remains controversial on high risks for early breast cancer patients with one to three axillary nodes after mastectomy who is predisposition to locoregional recurrence. The present study is to investigate the relationship between primary tumor site and loco-regional recurrence (LRR) and explore the predictive value of clinicopathological characteristics in LRR for early breast cancer patients with one to three positive axillary lymph nodes after mastectomy. Methods: We reviewed the clinical data of 656 consecutively diagnosed patients with pT1-2N1M0 breast cancer who were treated in Sun Yat-sen University Cancer Center with radical operation without postoperative radiotherapy between March 1998 and December 2010. The primary tumor sites included outer quadrant in 455 patients (69.36%), inner quadrant in 156 patients (23.78%)and central quadrant in 45 patients (6.86%). LRR and LRR-free survival (LRFS) in combination with clinical and pathological features were analyzed to screen out patients with higher risk of LRR. Results: The median follow-up time was 64.9 months. The 5-, 10-year LRR for the cohort was 8.6% and 12.9%, respectively; the 5-, 10-year LRFS was 86.2% and 76.4%, respectively. Multivariate analyses showed that age of ≤35 years, inner quadrant tumor and non-luminal subtype were independent risk factors for LRR and LRFS. Patients with primary tumor in inner quadrant showed higher LRR and poorer LRFS when risk factors are ≥2 than those with tumors in other sites. Conclusions: Inner quadrant tumor was an independent predictor for LRR and LRFS in patients with early breast cancer and one to three positive axillary lymph nodes, which would be more accurate in combination with other prognostic indexes including patients' age, pathological T stage, Ki67 status, molecular subtypes.

Photocatalytic water splitting is attracting enormous interest for the storage of solar energy but no practical method has yet been identified. In the past decades, various systems have been developed but most of them suffer from low activities, a narrow range of absorption and poor quantum efficiencies (Q.E.) due to fast recombination of charge carriers. Here we report a dramatic suppression of electron-hole pair recombination on the surface of N-doped TiO2 based nanocatalysts under enhanced concentrations of H+ and OH−, and local electric field polarization of a MgO (111) support during photolysis of water at elevated temperatures. Thus, a broad optical absorption is seen, producing O2 and H2 in a 1:2 molar ratio with a H2 evolution rate of over 11,000 μmol g−1 h−1 without any sacrificial reagents at 270 °C. An exceptional range of Q.E. from 81.8% at 437 nm to 3.2% at 1000 nm is also reported. Chemical fuels, produced from light, afford an alternative to fossil fuel, but conversion materials suffer from low photon-to-fuel efficiencies. Here, authors incorporate gold/N-doped TiO2 on MgO surfaces and show enhanced photocatalytic water splitting performances at elevated temperatures.

s Background: Type 2 diabetes (T2D) is a metabolic dysfunction disease that causes several complications. Liver injury is one of these that severely affects patients with diabetes. Fibroblast growth factor 1 (FGF1) has glucose-lowering activity and plays a role in modulation of several liver injuries. Nevertheless, the effects and potential mechanisms of FGF1 against diabetes-induced liver injury are unknown. Methods: To further investigate the effect of FGF1 on diabetic liver injury, we divided db/db mice into two groups and intraperitoneally (i.p.) injected either with FGF1 at 0.5 mg/kg body weight or saline every other day for 4 weeks. Then body weights were measured. Serum and liver tissues were collected for biochemical and molecular analyses. Results: FGF1 significantly reduced blood glucose and ameliorated diabetes-induced liver steatosis, fibrosis and apoptosis. FGF1 also restored defective hepatic autophagy in db/db mice. Mechanistic investigations showed that diabetes markedly induced oxidative stress and endoplasmic reticulum stress and that FGF1 treatment significantly attenuated these effects. Conclusions: FGF1-associated glucose level reduction and amelioration of cellular stress are potential protective effects of FGF1 against diabetes-induced liver injury. Key words: Fibroblast growth factor 1 (FGF1); Diabetes; Liver injury; Oxidative stress; Endoplasmic reticulum (ER) stress

Two novel designs of DC-DC boost converters, one using cascaded structure and one with low duty cycle are presented in this paper. Each of them consists two boosting cells with only one switch to control the on-off state of the circuit. The main advantage of these two designs is providing high step-up output ratio. This is significantly useful for renewable energy system with low output voltage, such as solar energy systems, to boost its output voltage to higher ones for grid-connected equipment. One design works under low duty cycle (less than 36%). The operational modes are designed in continuous-current mode (CCM) and this can simplify the analysis and understanding of the converter circuit. In this paper, the theoretical analysis and simulation results will verify the potential value of two designs and the designed parameters will be listed for further research.

LSTM (long-short term memory neural network) is a neural network suitable for simulating and predicting time series changes. This paper designs a PM2.5 concentration prediction model based on the LSTM neural network. Use Python language programming implementation under the Tensor Flow framework, training the model using real weather data from 2015-01-01∼2019-01-01, and the obtained model can accurately predict the concentration change of future PM2.5. RMSE and DC were used as evaluation indexes to compare the LSTM neural network model with the traditional BP (Back Propagation) algorithm model. It turns out, LSTM model has the characteristics of high precision and stable prediction effect, proved that the time series prediction ability of the LSTM model is more superior. As an effective method for predicting PM2.5 concentration data, it can provide the basis for predicting pollutants.

This article investigated the timbre of musical sound and visual color; comprehensively used experimental psychology, audio information processing and other experimental methods and technical means; and conducted research on the relationship between timbre attributes and visual color. First, we designed and implemented a subjective perception experiment based on audiovisual cross-modal timbre-color correlation. Through the statistical analysis of the experimental data, we obtained a complete timbre-color cross-modal correlation dataset. Second, through the visual processing and correlation analysis of the timbre-color correlation data, it is proven that there is a certain correlation between the timbre dimension and the color dimension. On this basis, we used three algorithms to construct a timbre-color correlation model, namely, multiple linear regression, BP neural network and SVR, and we verified the accuracy of the three models. The timbre-color correlation dataset constructed in this paper can provide basic data support for audiovisual cross-modal research. The timbre-color correlation model constructed in this paper can provide a theoretical basis for cross-modal audiovisual applications. In addition, the timbre-color cross-modality research method in this paper can provide new research ideas for audio-visual cross-modality research.

In a community question answering (CQA) system, the new questions are appeared endlessly which have no tags. And the questions must be marked as some labels. Therefore, the question classification is very important for CQA. In the traditional task of question classification, a mass of labeled questions are required. In the real world, it is effortless to obtain a large number of unlabeled question samples and the vast labeled question samples are fairly expensive to obtain. Therefore, how to utilize the unlabeled samples to improve the question classification accuracy has been the core question of the question classification. In this paper, a kind of semi-supervised question classification method based on ensemble learning is proposed. Firstly, several classifiers are combined as one, i.e. ensemble classifier. The ensemble classifier is trained firstly to utilize a small number of labeled question samples. Secondly, the trained preliminary classifier gives each of the unlabeled question samples a pseudo label. Then, the ensemble classifier is trained again to use the labeled question samples and a large number of unlabeled question samples which have pseudo labels. Finally, to verify the effectiveness of the method through the experiments on question samples of 15 classes extracted from the community question answering system. The experiments demonstrate that the method could effectively utilize a large number of unlabeled question samples to improve the question classification accuracy.

0.8 to 1 μm Si and Be doped InSb were grown by molecular beam epitaxy. X-ray diffraction and atomic force microscope indicate that growth temperature below 340 °C severely results in dislocations and undulating surface. Silicon shows amphoteric doping nature in InSb at higher growth or Si cell temperatures, for the calculation result reveals it needed more energy to take the place of Sb. ECV measurement demonstrates that InSb/In0.9Al0.1Sb superlattice buffer layer can effectively inhibit Be dopant from diffusing to the substrate in the 420 °C InSb, with which both the doping level and crystalline quality are significantly improved. 790–870 °C Be doped InSb transfer from p- to n-type during the Hall measurement temperature increasing from 77 K to 330 K. The transition temperature of each sample is linearly correlated to the Be doping temperature, which is theoretically interpreted by the excitation mechanism and carrier transportation principles inside InSb.

With the improvement of people’s living conditions, the applications of various TV display screens are becoming more and more common. Typically, the person viewing the display screen has a fixed angle and does not make full use of the view field, so the viewing quality is lowered. To improve the viewing efficiency, we propose a smart screen rotation platform for the TV Pan Tilt Zoom (PTZ). Through the Raspberry Pi microcomputer, image sensors in front of the screen are used to acquire the images of the viewer’s face and surroundings. Based on the machine vision technique, the human face is recognized, and the face orientation is found. The identification results are delivered to the lower machine–ATMEL328P microcontroller, which controls the PTZ actuator to rotate, so that the screen is able to align the viewer’s face and help to realize the high-quality watching.

Mutations in the “guardian of the genome” TP53 predominate in solid tumors. In addition to loss of tumor suppressor activity, a specific subset of missense mutations confers additional oncogenic properties. These “gain-of-function” (GOF) mutations portend poor prognosis across cancer types regardless of treatment. Our objective in this study was to identify novel therapeutic opportunities to overcome the deleterious effects of GOF TP53 mutants. Using gynecologic cancer cell lines with known TP53 mutational status, we established that treatment with a proteasome inhibitor induced cell death in cells with two recurrent GOF TP53 mutations (R175H and R248Q), and addition of a histone deacetylase inhibitor (HDACi) enhanced this effect. By contrast, p53-null cancer cells were relatively resistant to the combination. Towards understanding the mechanism, we found that proteasome inhibition promotes apoptosis of cells with TP53 GOF mutations, potentially through induction of the unfolded protein response. In line with the reported hyperstabilization of GOF p53 protein, cells treated with HDACi exhibited reduced levels of p53 protein. Together, these data form the basis for future clinical studies examining therapeutic efficacy in a preselected patient population with GOF TP53 mutations.

The dc-dc boost converter is one of the main components in any solar energy system. However, traditional boost converter cannot meet the demand on higher step-up ratio required of the system. Voltage lift technique has made a great success in improving the dc-dc boost converter design. This technique can largely increase the output voltage step-up ratio stage-by-stage. The quadratic dc-dc boost converter has a higher step-up ratio and also a good power transferring efficiency during continuous conduction mode (CCM). In this paper, the basic quadratic boost converter is modified by the voltage lift technique to further increase the step-up ratio. The mathematical analysis and simulation results presented in the paper will illustrate the capacity and potential value of this improvement.

The quality of the ranking answer is good or bad, directly affects the high quality answers for users in the community question answering system. Learning method by sorting, establish the answer ranking model, is a research hotspot in community question answering system. The characteristics of tags and behavior of users, often have a direct relationship with the answer to the users’ expectations. In this paper, ListNet is used as the ranking method which selects Neural Networks as the model and Gradient Descent as the optimization method to structure ListNet ranking model which blends in characteristics of tags and behaviors of user. Then, the ranking mode is utilized to finish experiment combining the answers feature space, and the result of experiment shows that the ListNet ranking model can improve effect of answers ranking obviously which blends in the characteristics of tags and behaviors of users.

An increasingly popular method for retrieving information is via the community question answering CQA systems such as Yahoo! Answers and Baidu Knows. In CQA, question classification plays an important role to find the answers. However, the labeled training examples for statistical question classifier are fairly expensive to obtain, as they require the experienced human efforts. Meanwhile, unlabeled data are readily available. This paper employs the method of domain adaptation via kernel mapping to solve this problem. In detail, the kernel approach is utilized to map the target-domain data and the source-domain data into a common space, where the question classifiers are trained under the closer conditional probabilities. The kernel mapping function is constructed by domain knowledge. Therefore, domain knowledge could be transferred from the labeled examples in the source domain to the unlabeled ones in the targeted domain. The statistical training model can be improved by using a large number of unlabeled data. Meanwhile, the Hadoop Platform is used to construct the mapping mechanism to reduce the time complexity. Map/Reduce enable kernel mapping for domain adaptation in parallel in the Hadoop Platform. Experimental results show that the accuracy of question classification could be improved by the method of kernel mapping. Furthermore, the parallel method in the Hadoop Platform could effective schedule the computing resources to reduce the running time.

Background: A moderate dose of radiation is the recommended treatment for solitary plasmacytoma (SP), but there is controversy over the role of surgery. Our study aimed at comparing different treatment modalities in the management of SP. Materials and Methods: Data from 38 consecutive patients with solitary plasmacytoma, including 16 with bone plasmacytoma and 22 with extramedullary plasmacytoma, were retrospectively reviewed. 15 patients received radiotherapy alone; 11 received surgery alone, and 12 received both. The median radiation dose was 50Gy. All operations were performed as radical resections. Local progression-free survival (LPFS), multiple myeloma-free survival (MMFS), progression-free survival (PFS) and overall survival (OS) were calculated and outcomes of different therapies were compared. Results: The median follow-up time was 55 months. 5-year LPFS, MMFS, PFS and OS were 87.0%, 80.9%, 69.8% and 87.4%, respectively. Univariate analysis revealed, compared with surgery alone, radiotherapy alone was associated with significantly higher 5-year LPFS (100% vs 69.3%, p=0.016), MMFS (100% vs 51.4%, p=0.006), PFS (100% vs 33.7%, p=0.0004) and OS (100% vs 70%, p=0.041). Conclusions: Radiotherapy alone can be considered as a more effective treatment for SP over surgery. Whether a combination of radiotherapy and surgery improves outcomes requires further study.

Detailed transient current response characteristics under pulsed voltage in MoO3-based organic light-emitting diodes (OLEDs) are first investigated. The transient current can be divided into three ...

Background The study compares the effectiveness of bupivacaine and fentanyl (BUPI-FEN) and ropivacaine and fentanyl (ROPI-EFN) in epidural analgesia for labor pain through a meta-analysis of relevant randomized clinical trials. Material/Methods Multiple electronic databases were searched using appropriate MeSH terms and keywords for original English language research papers published between 1990 and March 2014. Meta-analyses results were based on the mean differences between the groups as well as odds ratios where appropriate. Statistical heterogeneity amongst the included studies was tested by I2 index. Results Nine studies that met the inclusion criteria were selected for analysis which consisted of 556 parturient patients. The duration of the second stage of labor was significantly shorter in the BUPI-FEN group by a mean of −6.87 (−10.98, −2.77; P

This paper presents the fault diagnosis algorithm of the variable pitch system for wind turbines. The considered variable pitch system model is characterized by a second- order differential equation and is transformed into the discretization equation and the difference equation. Then, the fault diagnosis problem is transformed into a parameter estimation issue, and the multi-innovation forgetting gradient (MIFG) identification algorithm is adopted. As the MIFG algorithm uses not only current data but also the past data at each iteration, the parameter estimation accuracy can be improved. The validity of fault diagnosis using MIFG algorithm for pitch system is verified by simulation examples.

In this work, an organic-inorganic hybrid optical upconverter that can convert irradiated 980 nm IR light to 510 nm green phosphorescence sensitively was fabricated and studied. fac-Tris(2-phenylpyridine) iridium (Ir(ppy)3) doped 4,4'-bis(N-carbazolyl)-1,1'-biphenyl (CBP) was used as emitting layer in the phosphorescent organic light-emitting diode (OLED) unit. The upconverter using a phosphorescent OLED as display unit can achieve a higher upconversion efficiency and a low power consumption when compared with the one using fluorescent. An upconversion efficiency of 4.8% can be achieved for phosphorescent device at 15 V, much higher than that of fluorescent one (2.0%). The upconverter's transient optical and electric response to IR pulse were also investigated for the first time. The response time was found to be influenced by IR intensity and applied voltage. It has a response time as short as 60 μs. The rapid response property of the upconverter makes it feasible to be applied to high-speed IR imaging systems.

The minority carrier diffusion length (LD) is a crucial property that determines the performance of light absorbers in photoelectrochemical (PEC) cells. Many transition-metal oxides are stable photoanodes for solar water splitting but exhibit a small to moderate LD, ranging from a few nanometers (such as α-Fe2O3 and TiO2) to a few tens of nanometers (such as BiVO4). Under operating conditions, the temperature of PEC cells can deviate substantially from ambient, yet the temperature dependence of LD has not been quantified. In this work, we show that measuring the photocurrent as a function of both temperature and absorber dimensions provides a quantitative method for evaluating the temperature-dependent minority carrier transport. By measuring photocurrents of nonstoichiometric rutile TiO2–x nanowires as a function of wire radius (19–75 nm) and temperature (10–70 °C), we extract the minority carrier diffusion length along with its activation energy. The minority carrier diffusion length in TiO2–x increases...

Human activity recognition using wearable sensors plays a significant role in many applications. How to accurately and quickly recognize various activities based on wearable sensors draws more and more attentions. This paper proposes an accelerated sparse representation classification method based on random projection and k-nearest neighbor for human activity recognition. Random projection is first applied to reduce the dimensionality of the activity signal sampled from each wearable sensor. To optimally reconstruct an activity test sample, some nearest neighbor training samples from a few near neighbor classes of the test sample are selected to form a reduced training sample set, based on which the test sample can be sparsely represented. And then the activity class of the test sample is determined by solving an L1 minimization problem. The effectiveness of our method is experimentally validated on an open Wearable Action Recognition Database by recognizing nine common human activities performed by 20 subjects. Our method achieves the highest average recognition rate (92.56%), which beats the traditional sparse representation classification method and the conventional near neighbor algorithm. Meanwhile, the runtime of our method is significantly reduced compared to the traditional sparse representation classification method.

Body activity recognition using wearable sensor technology has drawn more and more attentions over the past few decades. The complexity and variety of body activities makes it difficult to fast, accurately and automatically recognize body activities. To solve this problem, this paper formulates body activity recognition problem as a classification problem using data collected by wearable sensors. And three different machine learning algorithms, support vector machine, hidden markov model and artificial neural network are presented to recognize different body activities. Various numerical experiments on a real-world wearable sensors dataset are designed to verify the effectiveness of these classification algorithms. Finally the results demonstrate that all the three algorithms achieve satisfactory activity recognition performance.