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Gliomas are the most aggressive primary brain tumors. However, no significant improvement in survival has been achieved with the addition of temozolomide (TMZ) or radiation as initial therapy, although many clinical efforts have been carried out to target various signaling pathways or putative driver mutations. Here, we report that glycosyltransferase 8 domain containing 1 (GLT8D1), induced by HIF-1α under a hypoxic niche, significantly correlates with a higher grade of glioma, and a worse clinical outcome. Depletion of GLT8D1 inhibits self-renewal of glioma stem cell (GSC) in vitro and represses tumor growth in glioma mouse models. GLT8D1 knockdown promotes cell cycle arrest at G2/M phase and cellular apoptosis with or without TMZ treatment. We reveal that GLT8D1 impedes CD133 degradation through the endosomal-lysosomal pathway by N-linked glycosylation and protein-protein interaction. Directly blocking the GLT8D1/CD133 complex formation by CD133

An innovative ion conducting ice gel served as a solid-state electrolyte in a flexible supercapacitor with improved extreme low-temperature tolerance.

A “MOF on MOF” strategy was proposed for the synthesis of N,S co-doped hollow carbon nanosheets embedded with Co9S8 nanoparticles. The resulting material is a highly efficient bifunctional air electrode for Zn–air batteries.

As an effective approach for materials synthesis, bipolar electrochemistry has been earning a renewed interest nowadays thanks to its unique features compared to conventional electrochemistry. Indeed, the wireless mode of electrode reactions and the generation of a gradient potential distribution above the bipolar electrode are among the most appealing qualities of bipolar electrochemistry. In particular, the gradient potential distribution is a highly attractive characteristic for the fabrication of surfaces with gradients in their chemical properties or molecular functionalities. Herein, we report the high-throughput electrosynthesis of gradient polypyrrole films by means of a new electrochemical cell design named the single-electrode electrochemical system (SEES). SEESs are made by attaching an inert plastic board with holes onto an indium tin oxide electrode, constructing multiple microelectrochemical cells on the same electrode. This type of arrangement enables parallel electrochemical reactions to be carried out simultaneously and controlled in a contactless manner by a single electrode. Several experimental conditions for polypyrrole film growth were extensively investigated. Furthermore, the gradient property of the polymer films was evaluated by thickness determination, surface morphology analysis, and contact angle measurements. The use of SEES has been demonstrated as a convenient and cost-effective strategy for high-throughput electrosynthesis and electroanalytical applications and has opened up a new door for gradient film preparation via a rapid condition screening process.

The rational design of oxygen vacancies and electronic microstructures of electrode materials for energy storage devices still remains a challenge. Herein, we synthesize nickel cobalt-based oxides nanoflower arrays assembled with nanowires grown on Ni foam via the hydrothermal process followed annealing process in air and argon atmospheres respectively. It is found that the annealing atmosphere has a vital influence on the oxygen vacancies and electronic microstructures of resulting NiCo2O4 (NCO-Air) and CoNiO2 (NCO-Ar) products, which NCO-Ar has more oxygen vacancies and larger specific surface area of 163.48 m2/g. The density functional theory calculation reveals that more oxygen vacancies can provide more electrons to adsorb -OH free anions resulting in superior electrochemical energy storage performance. Therefore, the assembled asymmetric supercapacitor of NCO-Ar//active carbon delivers an excellent energy density of 112.52 Wh/kg at a power density of 558.73 W/kg and the fabricated NCO-Ar//Zn battery presents the specific capacity of 180.20 mAh/g and energy density of 308.14 Wh/kg. The experimental measurement and theoretical calculation not only provide a facile strategy to construct flower-like mesoporous architectures with massive oxygen vacancies, but also demonstrate that NCO-Ar is an ideal electrode material for the next generation of energy storage devices.

Reasonable regulation of crystal structures plays an important role in improving cathode materials for energy storage devices. A good crystal structure is beneficial to charge transfer in the elect...

It is of vital importance to design efficient and low-cost bifunctional catalysts for the electrochemical water splitting under alkaline and neutral pH conditions. In this work, we report an efficient and stable NiCo2S4/N, S co-doped reduced graphene oxide (NCS/NS-rGO) electrocatalyst for water splitting, in which NCS microspheres are composed of one-dimentional (1D) nanorods grown homogeneously on the surface of NS-rGOs). The synergetic effect, abundant active sites, and hybridization of NCS/NS-rGO endow their outstanding electrocatalytic performance for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) in both alkaline and neutral conditions. Furthermore, NCS/NS-rGO employed as both anode and cathode in a two-electrode alkaline and neutral system electrolyzers deliver 10 mA/cm2 with the low cell voltage of 1.58 V in alkaline and 1.91 V in neutral condition. These results illustrate the rational design of carbon-supported nickel-cobalt based bifunctional materials for practical water splitting over a wide pH range.

Osteosarcoma (OS) is a human malignancy, which primarily affects the long bones and occurs in children and adolescent. Although advanced clinical approaches and the addition of neoadjuvant chemotherapy improved 5-year survival of OS patients, a large fraction of them developed chemoresistance. Thus, due to the high morbidity and mortality of OS, it is urgent to investigate effectively molecular targets against chemoresistant osteosarcoma. In this study, we aimed to evaluate the functions of miR-27a-3p in the Taxol sensitivity of osteosarcoma. From fifty-paired OS tumour tissues and adjacent normal bone tissues, we detected significantly upregulated miR-27a-3p expressions in osteosarcoma. In addition, expression of miR-27a-3p was remarkedly elevated in OS cancer cell lines compared with normal osteoblast cells, hFOB1.19. Blocking miR-27a-3p effectively suppressed OS cell growth and sensitised OS cells to Taxol. miRNA target prediction indicated Fbxw7 was a potential target of miR-27a-3p. We demonstrated Fbxw7 functioned as a tumour suppressor in osteosarcoma. Overexpression of miR-27a-3p significantly suppressed Fbxw7 protein expression in OS cells. The direct binding between miR-27a-3p and Fbxw7 3'UTR was validated by luciferase assay. Particularly, results from rescue experiments by inhibiting Fbxw7 expressions in miR-23a-3p-blocked OS cells demonstrated the miR-27a-3p-mediated Taxol resistance was through direct targeting Fbxw7. In summary, our findings report a new molecular mechanism for the miR-27a-3p-mediated Taxol resistance via targeting tumour suppressor, Fbxw7 in osteosarcoma. This study potentiates a miRNA-based therapeutic approach against Taxol resistant osteosarcoma.

Objective. In this study, a prognostic model for the respiratory function was constructed based on the treatment methods of patients with nonsevere pulmonary infection, aiming to provide a reference for clinical decision-making. Method. A total of 500 patients with nonsevere pulmonary infection were included in this study. The patients were randomized into training set ( n = 350 ) and validation set ( n = 150 ), and the baseline characteristics were collected. All patients received breathing exercises or breathing exercises combined with acupuncture therapy for 3 months, and then the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) was assessed. Next, an ordinal multinomial logistic regression model was used to analyze prognostic factors affecting respiratory function of patients with nonsevere pulmonary infection. The Test of Parallel Lines was used to determine the accuracy (ACC) of the model and screen the influencing factors. The confusion matrix was drawn, and the ACC and harmonic mean (F1 score) were calculated to evaluate the feasibility of the model results. Results. Results of the ordinal multinomial logistic regression model showed that age ( P = 0.000 ), treatment method ( P = 0.000 ), underlying diseases ( P < 0.001 ), and sex ( P = 0.389 ) were independent factors affecting the respiratory function of patients in the training set. The ACC value of the training set was 88.86%, and that of the validation set was 91.33%, indicating a high accuracy and favorable predictive ability of the model. Besides, the F1 score was 62.38%, indicating a high reliability of the model. Conclusion. The prognostic model for respiratory function of patients with nonsevere pulmonary infection constructed in this study had favorable predictive performance, which is of great significance in the clinical nursing and treatment of patients with pulmonary infection.

ZnFe2O4 (ZFO) spinel magnetic nanoparticles with a small particle size (11.2 nm) and large specific surface area (54.1 m2/g) are synthesized by a one-step hydrothermal method without the calcinatio...

PurposeThe authors study the effects of altruism and intention for succession on family firm's reputation risk-taking behaviors in Chinese publicly listed companies.Design/methodology/approachThe authors use earnings management as a proxy for reputation risk in family firms, and hand-collected relationship between family members to measure the closeness of incumbent family members and their potential successors as a proxy for the altruistic degree.FindingsResults show that, in developing countries like China, familial altruism in family firms with succession plans, which does not reduce the practice of earnings management, should be considered by practitioners while detecting it.Originality/valueThe hand collected data are very unique; the authors have focused on the relationship between incumbents and successors and the authors define their closeness by using genes shared between them.

Yi Zhao,1 Gang Wang,2 Wenqiong Ni,3 Zhiqiang Song,4 Kun Chen,5 Chunlei Zhang,6 Shoumin Zhang,7 Yangfeng Ding,8 Min Zheng,9 Yulin Shi,10 Zhimiao Lin,11 Xiaomin Liu,12 Xiaofei Zhang,13 Qintian Zhou,14 Kazi Deluwar Ahmed14 1Department of Dermatology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China; 2Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi’an, People’s Republic of China; 3Department of Dermatology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, People’s Republic of China; 4Department of Dermatology, Southwest Hospital, The Third Military Medical University, Chongqing, People’s Republic of China; 5Institute of Dermatology, Chinese Academy of Medical Science and Peking Union Medical College, Nanjing, People’s Republic of China; 6Department of Dermatology, Peking University Third Hospital, Beijing, People’s Republic of China; 7Department of Dermatology, Henan Provincial People’s Hospital, Zhengzhou 450003, People’s Republic of China; 8Department of Dermatology, Shanghai Skin Disease Hospital, Shanghai, People’s Republic of China; 9Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 10Department of Dermatology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine; Institute of Psoriasis, Tongji University School of Medicine, Shanghai, People’s Republic of China; 11Department of Dermatology and Venereology, Peking University First Hospital, Beijing, People’s Republic of China; 12Department of Dermatology, The University of Hong Kong–Shenzhen Hospital, Shenzhen, People’s Republic of China; 13Department of Clinical Epidemiology and Biostatistics, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China; 14Scientific Affairs and MSL Department, LEOPharma China, Shanghai, People’s Republic of ChinaCorrespondence: Yi ZhaoDepartment of Dermatology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing 102218, People’s Republic of ChinaEmail zhaoyimd@tsinghua.edu.cnGang WangDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, People’s Republic of ChinaEmail xjwgang@fmmu.edu.cnObjective: We aimed to prospectively evaluate the visit adherence in mild to moderate psoriasis patients.Methods: Plaque psoriasis patients aged 18 or above who were prescribed with a two-component formula ointment were eligible for the study. The patients were randomly assigned to group A or B, and received management with or without planned patient-doctor communication via a mobile platform. The outpatient visit was scheduled at week 2, 8, 16, 28, 48, and 52. Visit adherence was evaluated as the visit rate of the patients.Results: Two hundred twenty-one patients were included. Generally, the visit adherence dropped over time during follow-up. The visit rates in group A were 5.2– 15.7% through the 52 weeks, and similar rates were found in group B (7.5– 17.0%, vs group A, P > 0.05). A negative binomial regression model showed that older age and higher BSA were correlated with more frequent visits.Conclusion: The visit adherence of mild to moderate psoriasis patients was very low in China. Proactive inquiries of the doctors via the mobile platform failed to improve the visit adherence of the patients.Keywords: psoriasis, visit adherence, topical treatment

Atomically dispersed metal catalysts are promising candidates for the oxygen reduction reaction (ORR) and for achieving efficient energy conversion. However, rational design of single atom catalysts (SACs) with high-efficiency ORR catalytic activity and superior stability is still crucial yet challenging. Herein, an in situ gas-foaming methodology is presented for constructing single Fe atoms dispersed on a N, S-codoped (FeSA/NSC) hierarchically ordered porous carbon (HOPC) framework via one-step pyrolysis of dopamine (DA)/Fe3+ complexes and thiourea in SBA-15 channels. HOPC structures (facilitating active site access and mass transfer) and optimized FeN4S2 catalytic centers make FeSA/NSC exhibit high ORR activity with a half-wave potential (E1/2) of 0.91 V, fuel selectivity and long-term stability (3 mV negative shift after 5000 potential cycles) in 0.1 M KOH. It even shows comparable ORR catalytic activity (E1/2 = 0.78 V) to the Pt/C catalyst in acidic electrolytes. As the air electrode in zinc–air batteries, FeSA/NSC demonstrates superior power density, long-term discharge stability and specific capacity to the commercial Pt/C catalyst. Thus, FeSA/NSC is a promising non-platinum-group metal ORR catalyst for the ORR and application in zinc–air batteries.

The development of a green and environmentally friendly window system is always the upmost target among other requirements for modern buildings. Here, a smart window with a dynamic regulation mode ...

Optimizing the microstructure of a catalyst layer is considered a breakthrough to improve the electrocatalytic performance of nanomaterials. This study reports that nickel/iron layered double hydro...

International audience; We leverage the attractive properties of a high χ-low N BCP, i.e. poly(styrene)-block-poly(2-fluoro ethyl methylacrylate) (PS-b-P2FEMA) and illustrate its utility for next-generation nano-manufacturing. The synthesis, physical characterization and thin film self-assembly of a series of lamellar and cylindrical PS-b-P2FEMA BCPs is delineated. PS-b-P2FEMA BCPs with total molecular weights ranging from 7 kg mol -1 to 22 kg mol -1 were synthesized using reversible-addition-fragmentation chain-transfer (RAFT) polymerization. Temperature resolved small angle X-ray scattering (SAXS) measurements revealed a large χ value (0.13@ 150°C) for PS-b-P2FEMA. Solvo-thermal vapor annealing of PS-b-P2FEMA films produced highly oriented fingerprint patterns in as short as 60 seconds. Lamellar period sizes ranged from 25.9 nm down to 14.2 nm with feature sizes as small as 7 nm observed. We also demonstrate the integration feasibility of PS-b-P2FEMA BCPs through alumina hardmask formation using sequential infiltration synthesis. The highly favorable characteristics of the P2FEMA based BCPs detailed here provide a versatile material option to the current library of available BCPs for sub-10 nm nanolithography.

This work reports for the first time an in situ synthesis of a NiAl-layered double hydroxide (NiAl-LDH) with a tunable interlayer spacing using a confined impinging jet microreactor (CIJ). It is found that CIJ allows simultaneous guest (water molecules and carbonate) intercalation and in situ growth of NiAl-LDH by imposing a proper micromixing scale in a space-confined mixing chamber. The final interlayer spacing of NiAl-LDH can be easily regulated from 0.9 to 3.6 nm by tuning the Reynolds number flow range from 4.8 × 103 to 6.7 × 102. The supercapacitor has been chosen as a model reaction to investigate the electrochemical activity of NiAl-LDHs. Results demonstrate that a higher interlayer space increases the electrochemical activity and enhances supercapacitor performances due to improvement in space accessibility of NiAl-LDHs during the faradaic redox reaction. NiAl-LDH with an interlayer space up to 3.6 nm presents fairly good performance as a supercapacitor electrode material in terms of specific capacitance (1285.2 F·g–1 at 1 A·g–1) and stability (capacitance retention rates over 80% after 5000 cycles). This work develops a rapid and continuous flow methodology for a one-pot, in situ formation of NiAl-LDH with the controlled interlayer spacing via microreactor technology.

ErbB2 overexpression identifies a subclass of breast cancer as ErbB2-positive that is frequently associated with poor prognosis. Current ErbB2-targeted therapies have profoundly improved patient outcomes, but mutations occurring in ErbB2 have been shown to confer drug resistance. Induction of ErbB2 degradation was proposed as an intriguing strategy to battle with ErbB2-positive breast cancer and reduced mutation-incurred drug resistance. Although multiple HSP90 inhibitors have been demonstrated to effectively trigger ErbB2 degradation, none succeeded in the clinical evaluations. To develop novel ErbB2-targeting strategies, we investigated the endocytic degradation and reversible ubiquitylation of ErbB2 in breast cancer. In this study, we reveal that HSP90 inhibition leads to efficient ubiquitylation and endocytic degradation of ErbB2 through the canonical endo-lysosomal route. USP2 associates with internalized ErbB2 and prevents its lysosomal sorting and degradation via exerting deubiquitylase activity. Accordingly, the USP2 inhibitor ML364 is capable of inducing ErbB2 ubiquitylation and accelerating its turnover. ML364 potentiates the pro-degradation effects of HSP90 inhibitors on ErbB2 and hence sensitizes ErbB2-positive breast cancer cells to HSP90 inhibition. The combination of USP2 and HSP90 inhibitors effectively restrains ErbB2-positive breast cancer xenograft growth in vivo. Based on these observations, we conclude that USP2 safeguards ErbB2 surface levels by antagonizing its ubiquitylation-mediated endocytic degradation, which can be exploited to design novel therapeutic strategies against ErbB2-driven malignancies as combinatorial treatment with HSP90 inhibitors.

Purpose: Lung cancer is the leading cause of cancer related deaths worldwide. We have previously identified many differentially expressed genes (DEGs) from large scale pan-cancer dataset using the Cross-Value Association Analysis (CVAA) method. Here we focus on Progestin and AdipoQ Receptor 4 (PAQR4), a member of the progestin and adipoQ receptor (PAQR) family localized in the Golgi apparatus, to determine their clinical role and mechanism in the development of non-small cell lung cancer (NSCLC). Methods: The protein expression profile of PAQR4 was examined by IHC using tissue microarrays, and the effects of PAQR4 on cell proliferation, colony formation and xenograft tumor formation were tested in NSCLC cells. Real-time RT-PCR, co-immunoprecipitation (co-IP) and GST-pulldown assays were used to explore the mechanism of action of PAQR4. Results: We provided evidence showing that PAQR4 is increased in NSCLC cancer cell lines (A549, H1299, H1650, H1975, H358, GLC-82 and SPC-A1), and identified many mutations in PAQR4 in non-small cell lung cancer (NSCLC) tissues. We demonstrated that PAQR4 high expression correlates with a worse clinical outcome, and that its knockdown suppresses cell proliferation by inducing apoptosis. Importantly, overexpressed PAQR4 physically interacts with Nrf2 in NSCLC cells, blocking the interaction between Nrf2 and Keap1. Conclusion: Our results suggest that PAQR4 depletion enhances the sensitivity of cancerous cell to chemotherapy both in vitro and xenograft tumor formation in vivo, by promoting Nrf2 protein degradation through a Keap1-mediated ubiquitination process.

This work demonstrates a scalable and continuous flow production of sulfur nanoparticles (SNPs) using a confined impingement jet mixer (CIJ). Sizes and morphology of SNPs can be easily controlled by varying the micro-mixing degree. Using a high feed-speed equal to 110 mL min−1, spherical composites containing SNPs covered with polyvinylpyrrolidone (S@PVP) with uniform morphology and an average diameter of 485 nm were obtained. These composites were tested as active cathode materials for Li–S batteries. Cathodes containing S@PVP composites exhibited high initial capacity equal to 1030.7 mA h g−1. After 50 cycles at C/10, the capacity was 807.7 mA h g−1. Such excellent capacity and capacity retention were attributed to the small size and homogeneous dispersion of SNPs as well as the conducting PVP layer, which provided effective multidimensional electron and ion transport pathways. The PVP layer also mitigated the problems associated with volume expansion, typically occurring during battery cycling. The simplicity and scalability of the method proposed in this work give it very strong potential for large-scale continuous fabrication of SNPs for Li–S rechargeable batteries.

We have devised a feasible approach to prepare nitrogen-doped carbon nanospheres (NCNs) with ultrasmall size and high N-doping amount via the dissolution and space-confined pyrolysis of cellulose using ZnCl2. The results indicated that pyrolysis, gasification, and nitrogen doping of the cellulose occurred in a fully-sealed nanoreactor (inner diameter ≈ 11 nm). The formation of an autogenic pressure inside the nanoreactor played an important role in improving the heteroatomic equilibrium conditions, thereby increasing the nitrogen content (increased to ca. 2 times) and biochar yield (increased by ca. 56.6%). The nitrogen content, nitrogen type and equivalence ratio, as well as the specific surface area, were easily regulated by varying the amount of ZnCl2. The resulting NCN-7 exhibited a high oxygen reduction reaction (ORR) activity with a half-wave potential (E1/2) of 0.87 V (versus the reversible hydrogen electrode, RHE) that surpassed those of most reported biomass-derived catalysts, even those of the commercial Pt-based catalysts (0.86 V). This remarkably improved catalytic activity was attributed to the high total nitrogen content (8.56 at%), pyridinic N concentration (3.06 at%), and large specific surface area (1655.0 m2 g−1) of the catalyst. This work proposes a universal method for the conversion of abundant renewable biomass (including cellulose, chitosan and cotton-stalks) into advanced nanoelectrocatalysts by the dissolution and space-confined pyrolysis strategy.

Walnut Shell-derived hierarchical porous carbon has been successfully synthesized by the efficient KOH activation process. The hierarchical porous carbon material activated at 600 °C, has the specific micropore area of 1037.31 m2 g−1 and micropore volume of 0.51 cm3 g−1, which leads to have electrochemical performances of the hydrogen evolution reaction (HER) and supercapacitors. Specifically, as the hydrogen evolution reaction electrocatalyst, the walnut shell-derived carbon material activated at 600 °C exhibits a lower onset potential of 6.00 mV, a smaller Tafel slope of 69.76 mV dec−1 and outstanding stability above long-term cycling. As a supercapacitor electrode material, the sample possesses specific capacitance of 262.74 F g−1 at 0.5 A g−1, the remarkable rate capability of 224.60 F g−1 at even 10 A g−1 and good long-term stability. A symmetric supercapacitor shows the highly energy density of 7.97 Wh kg−1 at a power density of 180.80 W kg−1. This novel and low-cost biomass material is very promising for the electrocatalytic water splitting and supercapacitors.

The objective of this study was to evaluate facial soft and hard tissue changes, individually and relative to each other, in patients with skeletal class III deformity after bimaxillary surgery using three-dimensional (3D) photos obtained by white light scanning. Thirty patients with skeletal class III deformity who underwent bimaxillary surgery were selected. Each patient underwent white light scanning and spiral computed tomography (CT) within two weeks before (T0) and six months after surgery (T1). The 3D photos were registered with CT soft tissue models for T0 and T1, and the skeletal area unaffected by treatment (cranial base) was used to register T0 and T1. Then, the 3D colour-coded map was analysed to assess both skeletal and soft tissue changes between T0 and T1. Changes in the 3D coordinates of each anatomical landmark were analysed using the Student's t-test. Maxillary advancement by 2-3 mm and mandibular recession by 5-6 mm were observed; the mandible was shortened in the vertical direction. Compared with the preoperative values, the nasal columella was 0.51 mm shorter, the upper lip was 0.71 mm longer, the base of the alar cartilage was 1.38 mm wider, and the nasolabial angle became larger. The ratio of change in the position of soft tissue point Sn to hard tissue point A was 0.73:1, and that of soft tissue point Pg to hard tissue point Pog was 0.86:1. Images obtained by structured white light scanning registered with CT can be used as an alternative to study facial changes after orthognathic surgery.

Obesity is a growing epidemic worldwide, and it is also considered a major environmental factor contributing to the pathogenesis of inflammatory skin diseases, including psoriasis (PSO) and atopic dermatitis (AD). Moreover, obesity worsens the course and impairs the treatment response of these inflammatory skin diseases. Emerging evidence highlights that hypertrophied adipocytes and infiltrated immune cells secrete a variety of molecules, including fatty acids and adipokines, such as leptin, adiponectin, and a panel of cytokines/chemokines that modulate our immune system. In this review, we describe how adipose hypertrophy leads to a chronic low-grade inflammatory state in obesity and how obesity-related inflammatory factors are involved in the pathogenesis of PSO and/or AD. Finally, we discuss the potential role of antimicrobial peptides, mechanical stress and impairment of epidermal barrier function mediated by fast expansion, and dermal fat in modulating skin inflammation. Together, this review summarizes the current literature on how obesity is associated with the pathogenesis of PSO and AD, highlighting the potentially important but overlooked immunomodulatory role of adipose tissue in the skin.

Facile and rational design of high-efficient oxygen reduction reaction (ORR)/oxygen evolution reaction (OER) bifunctional electrocatalysts is significant for rechargeable Zinc-air batteries. In this study, ZnS modified N, S dual-doped interconnected porous carbon (ZnS/NSC) derived from the dye sludge waste is successfully fabricated via a facile ZnCl

Gliomas account for 75% of all primary malignant brain tumors in adults and are associated with high mortality. Emerging evidence has demonstrated that baculoviral inhibitor of apoptosis repeat containing 5 (

In China, diabetes is a common, high-incidence chronic disease. Diabetes has become a severe public health problem. However, the current diagnosis and treatment methods are difficult to control the progress of diabetes. Traditional Chinese Medicine (TCM) has become an option for the treatment of diabetes due to its low cost, good curative effect, and good accessibility.Based on the tongue images data to realize the fine classification of the diabetic population, provide a diagnostic basis for the formulation of individualized treatment plans for diabetes, ensure the accuracy and consistency of the TCM diagnosis, and promote the objective and standardized development of TCM diagnosis.We use the TFDA-1 tongue examination instrument to collect the tongue images of the subjects. Tongue Diagnosis Analysis System (TDAS) is used to extract the TDAS features of the tongue images. Vector Quantized Variational Autoencoder (VQ-VAE) extracts VQ-VAE features from tongue images. Based on VQ-VAE features, K-means clustering tongue images. TDAS features are used to describe the differences between clusters. Vision Transformer (ViT) combined with Grad-weighted Class Activation Mapping (Grad-CAM) is used to verify the clustering results and calculate positioning diagnostic information.Based on VQ-VAE features, K-means divides the diabetic population into 4 clusters with clear boundaries. The silhouette, calinski harabasz, and davies bouldin scores are 0.391, 673.256, and 0.809, respectively. Cluster 1 had the highest Tongue Body L (TB-L) and Tongue Coating L (TC-L) and the lowest Tongue Coating Angular second moment (TC-ASM), with a pale red tongue and white coating. Cluster 2 had the highest TC-b with a yellow tongue coating. Cluster 3 had the highest TB-a with a red tongue. Group 4 had the lowest TB-L, TC-L, and TB-b and the highest Per-all with a purple tongue and the largest tongue coating area. ViT verifies the clustering results of K-means, the highest Top-1 Classification Accuracy (CA) is 87.8%, and the average CA is 84.4%.The study organically combined unsupervised learning, self-supervised learning, and supervised learning and designed a complete diabetic tongue image classification method. This method does not rely on human intervention, makes decisions based entirely on tongue image data, and achieves state-of-the-art results. Our research will help TCM deeply participate in the individualized treatment of diabetes and provide new ideas for promoting the standardization of TCM diagnosis.

SUMMARYPredicting how stem cells become patterned and differentiated into target tissues is key for optimising human tissue design. Here, we established DEEP-MAP - for deep learning-enhanced morphological profiling - an approach that integrates single-cell, multi-day, multi-colour microscopy phenomics with deep learning and allows to robustly map and predict cell fate dynamics in real-time without a need for cell state-specific reporters. Using human pluripotent stem cells (hPSCs) engineered to co-express the histone H2B and two-colour FUCCI cell cycle reporters, we used DEEP-MAP to capture hundreds of morphological- and proliferation-associated features for hundreds of thousands of cells and used this information to map and predict spatiotemporally single-cell fate dynamics across germ layer cell fates. We show that DEEP-MAP predicts fate changes as early or earlier than transcription factor-based fate reporters, reveals the timing and existence of intermediate cell fates invisible to fixed-cell technologies, and identifies proliferative properties predictive of cell fate transitions. DEEP-MAP provides a versatile, universal strategy to map tissue evolution and organisation across many developmental and tissue engineering contexts.

In the current network and big data environment, the secure transmission of digital images is facing huge challenges. The use of some methodologies in artificial intelligence to enhance its security is extremely cutting-edge and also a development trend. To this end, this paper proposes a security-enhanced image communication scheme based on cellular neural network (CNN) under cryptanalysis. First, the complex characteristics of CNN are used to create pseudorandom sequences for image encryption. Then, a plain image is sequentially confused, permuted and diffused to get the cipher image by these CNN-based sequences. Based on cryptanalysis theory, a security-enhanced algorithm structure and relevant steps are detailed. Theoretical analysis and experimental results both demonstrate its safety performance. Moreover, the structure of image cipher can effectively resist various common attacks in cryptography. Therefore, the image communication scheme based on CNN proposed in this paper is a competitive security technology method.

Purpose: Fatigue is a subjective symptom which is hard to quantify, it is prevalent in sub-health and disease population, and there is still no accurate and stable method to distinguish disease fatigue from sub-health fatigue. Tongue and pulse diagnoses are the reflection of the overall state of the body, and the modern researches of tongue and pulse diagnoses have made great progress. This study aims to explore the distribution rules of tongue and pulse data in disease fatigue and sub-health fatigue population, and evaluate the contribution rate of tongue and pulse data to fatigue diagnosis through modeling. Methods: Tongue and Face Diagnosis Analysis-1 instrument and Pulse Diagnosis Analysis-1 instrument were used to collect tongue image and pulse sphygmogram of sub-health fatigue population (n=252) and disease fatigue group(n=1160), we mainly analyzed the tongue and pulse characteristics and constructed the classification model based on logistic regression method. Results: The results showed that sub-health fatigue people and disease fatigue people had different characteristics of tongue and pulse, and the logistic regression model based on tongue and pulse data showed a better classification effect. The accuracy of healthy controls & sub-health fatigue, sub-health fatigue & disease fatigue, health controls & disease fatigue model were 65.70%, 65.10%, 78.90%, and the AUC were 0.678, 0.834, and 0.879 respectively. Conclusion: This study provided a new non-invasive method for the fatigue diagnosis from the perspective of objective tongue and pulse data, the modern tongue and pulse diagnoses have a good application prospect.

Background: Carrying out routine diabetes risk assessment and prediction is conducive to controlling the incidence of diabetes. Previous studies have confirmed that tongue features can reflect changes in glucose metabolism. We want to find the key tongue features related to glucose metabolism for early warning of prediabetes and diabetes. This will benefit the prevention and control of diabetes.Methods: We investigated 719 subjects in Shuguang Hospital affiliated with Shanghai University of TCM in Shanghai, China, during the August 2018 – December 2019 period. We used PCA to reconstruct 25 new features on the basis of the original features, and used logistic regression to analyze these new features. Based on the factor loading method, we associate the new features with the original features. Finally, we determined the key tongue features and change patterns related to prediabetes risk and diabetes risk.Results: For the prediabetes, TB-ASM, TC-ASM and TB-Cr are protective factors. TB-CON, TC-CON, TB-MEAN, TC-MEAN, TB-ENT and TC-ENT are risk factors. For the diabetes, TB-a, TB-S, TB-Cr, TB-b and TC-b are protective factors, and Per-all and TB-Cb are risk factors. Conclusion: The PCA eliminates the redundancy of original features and refines the original features. The PCA combined with logistic regression found the key tongue features reflecting glucose metabolism, and clarified the significance of the changes in these tongue features in the prediabetes and diabetes population. This study provides a research foundation for using tongue features to implement early warning of diabetes risk.

Hypoxia occurs naturally at high-altitudes and pathologically in hypoxic solid tumors. Here, we report that genes involved in various human cancers evolved rapidly in Tibetans and six Tibetan domestic mammals compared to reciprocal lowlanders. Furthermore, m6A modified mRNA binding protein YTHDF1, one of evolutionary positively selected genes for high-altitude adaptation is amplified in various cancers, including non-small cell lung cancer (NSCLC). We show that YTHDF1 deficiency inhibits NSCLC cell proliferation and xenograft tumor formation through regulating the translational efficiency of CDK2, CDK4, and cyclin D1, and that YTHDF1 depletion restrains de novo lung adenocarcinomas (ADC) progression. However, we observe that YTHDF1 high expression correlates with better clinical outcome, with its depletion rendering cancerous cells resistant to cisplatin (DDP) treatment. Mechanistic studies identified the Keap1-Nrf2-AKR1C1 axis as the downstream mediator of YTHDF1. Together, these findings highlight the critical role of YTHDF1 in both hypoxia adaptation and pathogenesis of NSCLC., Hypoxia occurs at high altitude and in cancer. Here, the authors show that a gene involved in hypoxia, YTHDF1, underwent rapid evolution in Tibetans and their domestic animals, and find that the gene is amplified in some cancers and contributes to drug resistance in hypoxic conditions.

A novel visible-light-driven photocatalyst with formula of Bi2W(1−x)NbxO6−y was synthesized by using a facile hydrothermal method. The effects of acceptor dopant Nb5+ on the properties of Bi2WO6 (BWO) were systematically investigated. Results showed that a moderate amount of acceptor dopant Nb5+ ions could enter into the W-sites of BWO lattice and tailor the morphology of BWO from the 3D hierarchical microspheres to 2D nanosheets. The 2D nanosheet morphology with about 7.5 nm in thickness provides shorter diffusion distance of charge carries and the oxygen vacancies produced by the acceptor dopant Nb5+ have advantage of separating the photo-induced charge carriers, and thus resulted in enhanced photocatalytic properties. The composition with x = 0.02 showed optimal photocatalytic performance, which could fully degrade RhB in an aqueous solution within 60 min and the apparent rate constant, k, was estimated to be 0.0509 min−1, approximately 10.2 times greater than that of the BWO-SSR (prepared by solid state reaction method) sample and 3.9 times greater than that of the pure BWO (prepared by hydrothermal method). Importantly, this kind of catalyst exhibited good cycling performance, and could degrade 92% of the RhB in an aqueous solution within 60 min after 4 cycles, making it a promising visible-light photocatalyst for the environmental remediation applications.

Designing ferroelectrics with excellent electrical performance and high-temperature electrical resistivity (ρ) without severely sacrificing their high Curie temperature (TC) is a major issue in the development of Bismuth Layer-Structured Ferroelectrics (BLSFs). In this regard, a novel solid solution of CaBi2Ta2O9 and Na0.5Bi2.5Ta2O9 was synthesized by conventional electroceramic procedures in this study and was found to possess enhanced piezoelectric and ferroelectric properties together with a high Curie temperature (TC ∼ 925 °C). Further addition of (Li0.5Ce0.5)2+ not only elevated its piezoelectric constant (d33 ∼ 13.3 pC/N) and remnant polarization (Pr ∼ 7.2 μC/cm2) but also increased its high-temperature electrical resistivity (ρ > 108 Ω∙cm at 500 °C and ∼107 Ω∙cm at 600 °C) by more than one order of magnitude when compared with that of other BLSFs. Moreover, the CNBT-LC4 sample maintained 92% of its initial value after depoling at 900 °C and maintained its piezoelectric performance in the following annealing runs. These results demonstrate that Ca0.5(NaBi)0.25-x/2(LiCe)x/2Bi2Ta2O9 ceramics are promising candidates for future applications.

Uniform and single-crystalline Mn-Co-Ni-O nanocrystallines (MCN NCs) are successfully synthesized by the reverse microemulsion (RM) process. The microstructure, morphology and particle size of MCN NCs are characterized by Fourier Transform Infrared (FT-IR), X-ray powders diffraction (XRD), scanning electron microscope (SEM) and (High Resolution) Transmission Electron Microscope (HRTEM), respectively. These results show that the mole ratio of water to surfactant and initial reagents concentration play essential roles in the formation of cubic and tetragonal spinel MCN NCs with different morphologies of nano-sphere, nano-octahedra, and nano-hexagonal prism. Finally, the changing rules of microstructure and morphology are clarified, which help us understand the formation mechanism of spinel oxides.