Search

Background Emerging evidence suggests that miR‐501‐3p plays an important role in the pathogenesis and progression of various carcinomas. However, its role and underlying mechanisms in renal cell carcinoma (RCC) remain to be elucidated. Methods Quantitative RT‐PCR, western blot, and bioinformatics methods were used to evaluate the expression of miR‐501‐3p and Wilms’ tumor 1‐associating protein (WTAP) in RCC cell lines and clinical tissues. The effects of miR‐501‐3p on the proliferation of RCC cells were investigated using flow cytometric, colony formation, and CCK8 assays. The target gene of miR‐501‐3p was confirmed by western blotting, qRT‐PCR, and dual‐luciferase reporter assays. The levels of RNA methylation with N6‐methyladenosine (m6A) following miR‐501‐3p overexpression or knockdown of its target gene were quantified using a dot‐blot assay. Results miR‐501‐3p expression was significantly downregulated in human RCC cell lines and tissues. In contrast, its overexpression markedly inhibited cancer cell proliferation in vitro by inducing G1 phase arrest. Moreover, WTAP was verified as a direct target gene of miR‐501‐3p. WTAP gene knockdown alone efficiently produced the same cancer‐inhibiting effects as miR‐501‐3p overexpression, with the level of m6A in RCC cells being decreased under both scenarios. The intermolecular interaction between miR‐501‐3p and WTAP was further substantiated by rescue experiments. Conclusion RCC progression is regulated via the miR‐501‐3p/WTAP/CDK2 axis and is inhibited by the overexpression of miR‐501‐3p., miR‐501‐3p was significantly down‐regulated in human RCC cell lines and tissues. Moreover, WTAP was confirmed as the direct target gene of miR‐501‐3p. RCC progression is regulated via the miR‐501‐3p/WTAP/CDK2 axis and is inhibited by the overexpression of the microRNA.

Emerging discoveries of dynamic and reversible N6-methyladenosine (m6A) modification on RNA in mammals have revealed the key roles of the modification in human tumorigenesis. As known m6A readers, insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs) are upregulated in most cancers and mediates the enhancement of m6A-modified mRNAs stability. However, the mechanisms of IGF2BPs in renal cell cancer (RCC) still remain unclear. Bioinformatic analysis and RT-qPCR were performed to evaluate the expression of IGF2BPs and m6A writer Wilms tumor 1-associating protein (WTAP) in RCC samples and its correlation with patient prognosis. In vitro, in vivo biological assays were performed to investigate the functions of IGF2BPs and WTAP in RCC. Chromatin immunoprecipitation-qPCR (ChIP-qPCR) combined with bioinformatics analysis and following western blot assay, dual-luciferase reporter assays were performed to validate the regulatory relationships between transcription factor (TF) early growth response 2 (EGR2) and potential target genes IGF2BPs. RNA sequencing (RNA-seq), methylated RNA immunoprecipitation-qPCR (MERIP-qPCR), RIP-qPCR, m6A dot blot, and dual-luciferase reporter assays combined with bioinformatics analysis were employed to screen and validate the direct targets of IGF2BPs and WTAP. Here, we showed that early growth response 2 (EGR2) transcription factor could increase IGF2BPs expression in RCC. IGF2BPs in turn regulated sphingosine-1-phosphate receptor 3 (S1PR3) expression in an m6A-dependent manner by enhancing the stability of S1PR3 mRNA. They also promoted kidney tumorigenesis via PI3K/AKT pathway. Furthermore, IGF2BPs and WTAP upregulation predicted poor overall survival in RCC. Our studies showed that the EGR2/IGF2BPs regulatory axis and m6A-dependent regulation of S1PR3-driven RCC tumorigenesis, which enrich the m6A-modulated regulatory network in renal cell cancer. Together, our findings provide new evidence for the role of N6-methyladenosine modification in RCC.

Emerging research indicates that miRNAs can regulate cancer progression by influencing molecular pathways. Here, we studied miR-665, part of the DLK1-DIO3 miRNA cluster, which is downregulated by upstream methylation in bladder cancer. MiR-665 overexpression significantly downregulated the expression of SMAD3, phospho-SMAD3, and SNAIL, reversed epithelial-mesenchymal transition progression, and inhibited the migration of bladder cancer cells. To predict potential targets of miR-665, we used online databases and subsequently determined that miR-665 binds directly to the 3' untranslated region of SMAD3. Moreover, silencing of SMAD3 with small interfering RNAs phenocopied the effect of miR-665 overexpression, and overexpression of SMAD3 restored miR-665-overexpression-induced metastasis. This study revealed the role of the miR-665/SMAD3/SNAIL axis in bladder cancer, as well as the potential of miR-665 as a promising therapeutic target.

Krüppel-like factor 7 (KLF7) negatively regulates adipocyte differentiation; however, the mechanism underlying its activity in mammals and birds remains poorly understood. To identify genome-wide KLF7-binding motifs in preadipocytes, we conducted a chromatin immunoprecipitation-sequencing analysis of immortalized chicken preadipocytes (ICP2), which revealed 11,063 specific binding sites. Intergenic binding site analysis showed that KLF7 regulates several novel factors whose functions in chicken and mammal adipogenesis are underexplored. We identified a novel regulator, troponin I2 (TNNI2), which is positively regulated by KLF7. TNNI2 is downregulated during preadipocyte differentiation and acts as an adipogenic repressor at least in part by repressing FABP4 promoter activity. In conclusion, we demonstrated that KLF7 functions through cis-regulation of TNNI2, which inhibits adipogenesis. Our findings not only provide the first genome-wide picture of KLF7 associations in preadipocytes but also identify a novel function of TNNI2.

Methane dehydroaromatization (MDA) on Mo/ZSM-5 zeolite catalyst provides a promising route for the direct transformation of natural gas into high-valued chemicals. Understanding the nature of active sites on Mo/ZSM-5 represents one of the challenges to be resolved for technical application of this process. Herein, by using (1)H{(95)Mo} double-resonance solid-state NMR spectroscopy, we identify proximate dual active sites on Mo/ZSM-5 catalyst by direct observation of internuclear spatial interaction between Brønsted acid site and Mo species in zeolite channels. The acidic proton-Mo spatial interaction is correlated with methane conversion and aromatics formation in the MDA process, which is demonstrated to be an important factor in determining the catalyst activity and lifetime. The evolution of olefins and aromatics in Mo/ZSM-5 channels is monitored by detecting their host-guest interactions with both active Mo sites and Brønsted acid sites via (1)H{(95)Mo} double-resonance and two-dimensional (1)H-(1)H correlation NMR spectroscopy, which reveals the intermediate role of olefins in hydrocarbon pool process during the MDA reaction.

This study demonstrates how the large concentration fluctuations of polymeric liquids under deformation and flow can be quantitatively studied by applying the spherical harmonic expansion technique...

Morphological coding of nanostructures represents a capability in rapid modulation of structural features and most importantly, the transcription of information into nanoscale. Exploiting the regioselectivity in the template-less electrochemical synthesis of ultrathin Au nanowires, we show that rapid alternation of applied potential would cause corresponding change in the width of the emerging nanowire segments. By understanding the growth kinetics, a strong correlation between the nanowire morphologies and the deposition potential is established and applied in emulating the Morse code.

The efficiency and reliability of the bulb turbine can be influenced by the crack fault of the blade in the actual hydropower engineering. To explore this problem, this work is employed to mainly study the effects of the crack fault on the dynamic characteristics of the blade under different external excitations. Firstly, a displacement function of the cracked blade is innovatively proposed as the sum of a polynomial admissible function and a supplementary admissible function reflecting crack characteristics. Then, employing this displacement function, the natural frequency and mode function of the cracked blade can be calculated by Ritz method. Moreover, based on the derived mode function, the dynamical differential equation of the cracked blade can also be obtained. Finally, the truncation sensitivity of the displacement function is discussed, and by comparing with the finite element method, the reliability of the crack model is also verified. Meanwhile, the dynamic characteristics of the blade are studied with the changing of the excitation amplitude and frequency under different crack depth. Fortunately, the detailed dynamic evolutions of the blade and the effects of the crack depth on that are gotten. More importantly, these results can guide the operation of the hydropower station and provide a new method for the identification of the blade crack.

Aiming at the problems of unclear early fault characteristics and difficult extraction of rolling bearings, a new nonlinear dynamic analysis method called refined composite multi-scale amplitude-aware permutation entropy (RCMAAPE) is introduced in this paper. Firstly, RCMAAPE is used to extract features from the bearing life data, and Chebyshev’s inequality is used to establish a health threshold to evaluate the performance degradation state. Secondly, RCMAAPE is also used for bearing fault diagnosis. Both experimental results prove that RCMAAPE could extract fault characteristics effectively. RCMAAPE can accurately reflect the degradation trend of bearing in the whole life process, and is especially sensitive to the early failure of the bearing. RCMAAPE is also able to effectively identify the states of bearing faults. Especially after selecting the features, RCMAAPE only needs a small number of features to effectively identify the different states of the bearing and the recognition accuracy is up to 100%. Compared with the existing methods, the proposed method can extract fault features more effectively, has higher computational efficiency and obvious advantages.

The exponential advancement in artificial intelligence (AI), machine learning, robotics, and automation are rapidly transforming industries and societies across the world. The way we work, the way we live, and the way we interact with others are expected to be transformed at a speed and scale beyond anything we have observed in human history. This new industrial revolution is expected, on one hand, to enhance and improve our lives and societies. On the other hand, it has the potential to cause major upheavals in our way of life and our societal norms. The window of opportunity to understand the impact of these technologies and to preempt their negative effects is closing rapidly. Humanity needs to be proactive, rather than reactive, in managing this new industrial revolution. This article looks at the promises, challenges, and future research directions of these transformative technologies. Not only are the technological aspects investigated, but behavioral, societal, policy, and governance issues are reviewed as well. This research contributes to the ongoing discussions and debates about AI, automation, machine learning, and robotics. It is hoped that this article will heighten awareness of the importance of understanding these disruptive technologies as a basis for formulating policies and regulations that can maximize the benefits of these advancements for humanity and, at the same time, curtail potential dangers and negative impacts.

Zeolites are important inorganic crystalline microporous materials with a broad range of applications in the areas of catalysis, ion exchange, and adsorption/separations. Solid-state nuclear magnetic resonance (NMR) spectroscopy has proven to be a powerful tool in the study of zeolites and relevant catalytic reactions because of its advantage in providing atomic-level insights into molecular structure and dynamic behavior. In this review, we provide a brief discussion on the recent progress in exploring framework structures, catalytically active sites and intermolecular interactions in zeolites and metal-containing ones by using various solid-state NMR methods. Advances in the mechanistic understanding of zeolite-catalysed reactions including methanol and ethanol conversions are presented as selected examples. Finally, we discuss the prospect of the solid-state NMR technique for its application in zeolites.

Waldheimia glabra (Decne.) Rgl. 1879 (family Asteraceae) is a perennial herb with high economic and medicinal values. In this study, we sequenced the complete chloroplast (cp) genome of W. glabra by high-throughput Illumina sequencing. The size of the W. glabra cp genome is 151,499 bp, with overall GC content of 37.3%. It contains a large single copy and a small single copy region of 83,078 bp and 18,457 bp, respectively, separated by a pair of inverted repeats regions of 24,982 bp. We also discovered 131 genes, including 86 protein-coding genes, 37 transfer RNA genes, and 8 ribosomal RNA genes in the genome. The maximum-likelihood phylogenetic tree demonstrated that W. glabra is closely related to Leucanthemella linearis.

We use broad-band dielectric spectroscopy (BDS) and small-angle X-ray scattering (SAXS) to investigate the impact of architectural asymmetry in the miktoarm star copolymer on the dielectric polymer...

The virtual synchronous generator (VSG) has been widely applied for mimicking the dynamic performance of a synchronous generator (SG) by power-electronic interfaced power sources. When the VSG is implemented in VSC-based multi-terminal direct current (VSC-MTDC) systems, the impact of VSG on both ac- and dc-grid dynamics, i.e., the low frequency oscillatory (LFO) modes and dc voltage stability should be taken into consideration. This paper investigates the participation of the VSG controller in low frequency oscillatory (LFO) modes and the impact on dc voltage stability. The influence of VSG parameters on the system dynamics is investigated by the Singular Value Decomposition (SVD) analysis and modal analysis. A parameter alternating VSG (AVSG) controller is proposed to improve the damping performance to LFO modes and mitigating the negative impact of VSG on dc voltage stability. The effectiveness of the proposed AVSG controller is validated according to the non-linear simulations on two test systems.

Liposomes have been widely used as drug carriers in both biomedical research and for clinical applications, allowing the stabilisation of therapeutic compounds and overcoming obstacles to cellular and tissue uptake. However, liposomes still have low targeting efficiency, resulting in insufficient killing of tumour cells and unnecessary damage to normal cells. In this study, glycyrrhetinic acid (GA) and peanut agglutinin (PNA) were used as ligands to prepare dual-ligand-modified doxorubicin-loaded liposomes (DOX-GA/PNA-Lips) to enhance the targeting accuracy and efficacy of drug delivery against malignant liver cancer. PNA and GA modification enhanced the binding ability of liposomes to liver cancer cells, leading to excellent tissue and cell targeting of DOX-GA/PNA-Lips. DOX-GA/PNA-Lips showed an effective anti-tumour effect in vivo and in vitro, with its targeted delivery facilitating attenuation of the toxic side effects of DOX. These results demonstrated that dual-ligand-modified liposomes may provide an effective strategy for the treatment of hepatocellular carcinoma.

Materials under space confinement can alter their physical and chemical properties, paving the way for new science and novel applications. Nanoparticles can enforce spatial constraints on the polym...

The harpin protein Hpa1 has various beneficial effects in plants, such as promoting plant growth and inducing pathogen resistance. Our previous study found that Hpa1 could significantly alleviate the mosaic symptoms of tobacco mosaic virus (TMV) in Pinellia ternata, indicating that Hpa1 can effectively stimulate resistance. Here, the potential mechanism of disease resistance and field applicability of Hpa1 against TMV in P. ternata were further investigated. The results showed that 15 µg ml−1 Hpa1 had stronger antiviral activity than the control, and its protective effect was better than its curative effect. Furthermore, Hpa1 could significantly induce an increase in defense-related enzyme activity, including polyphenol oxidase, peroxidase, catalase, and superoxide dismutase, as well as increase the expression of disease resistance-related genes (PR1, PR3, PR5, and PDF1.2). Concurrently, Hpa1 significantly increased the content of some disease resistance-related substances, including hydrogen peroxide, phenolics, and callose, whereas the content of malondialdehyde was reduced. In addition, field application analysis demonstrated that Hpa1 could effectively elicit a defense response against TMV in P. ternata. Our findings propose a mechanism by which Hpa1 can prevent TMV infection in Pinellia by inducing systemic resistance, thereby providing an environmentally friendly approach for the use of Hpa1 in large-scale applications to improve TMV resistance in Pinellia.

Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of “machine ethics” was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI. What are the perceived ethical and moral issues with AI? What are the general and common ethical principles, rules, guidelines, policies, and regulations that can resolve or at least attenuate these ethical and moral issues with AI? What are some of the necessary features and characteristics of an ethical AI? How to adhere to the ethics of AI to build ethical AI?

A disaster of a catastrophic landslide triggered a debris flow with a scale of 0.3 billion m3 that occurred in the Zhamunong gully of Yigong on April 9th, 2000. It is of great scientific and engineering significance to study the main controlling factors and dynamic processes of this disaster, and the future development trend of similar hazards. Firstly, the precipitation, earthquake and temperature data before the event and seismic wave data after the event were collect. Secondly, a multi-dimensional approach on the data for finding the factors, dynamic processes and tendency of a catastrophic landslide triggered a debris low in Zhamunong gully was applied, including the standard precipitation index and effective peak acceleration calculation methods, fast Fourier transform, landslide stability, MacCormack-TVD finite difference method and FLAC numerical simulation method. The results are shown as follows. (1) The main controlling factors of this disaster were the long-term freeze-thaw cycle, dry-wet cycle, and a middle magnitude earthquake. (2) Based on the ground vibration spectrum of 2000 disaster recorded by the Linzhi seismic station, the dynamic processes are the joint and crack development process, the crack fracture and sliding process, the landslide translating into the debris flow, the movement and deposition of the debris flow. (3) The density and the average velocity are 2.0 tm-3 and 30.12 ms-1, respectively, and the discharge is shown with the process of first increases and then decreases. (4) Similar catastrophic landslide triggered debris flow would happen in Zhamunong gully in the future. The research results are useful in establishing a foundation for further study on the dynamic mechanism and reduction countermeasures of a catastrophic landslide triggered by debris low. RESUMEN Un deslizamiento de tierra ocasionó un flujo de detritos a una escala de 0.3 miles de millones de metros cúbicos en la hondonada de Zhamunong en el río Yigong, el 9 de abril de 2000. El estudio de los factores deteterminantes y las dinámicas del proceso de este desastre, al igual que el estudio de la tendencia a futuro de eventos similares, ha sido de gran importancia científica e ingenieril. Inicialmente, se recolectó la información relacionada con la precipitación, terremotos y temperatura antes del deslizamiento y la información de onda sísmica después del evento. Luego se realizó un acercamiento multidimensional a la información para encontrar los factores, los procesos dinámicos y la tendencia del deslizamiento de tierra que desencadenó un flujo de detritos en Zhamunong, y que incluyó el índice de precipitación regular y los métodos de cálculo de aceleración sísmica, transformada rápida de Fourier, estabilidad de un deslizamiento, el método de las diferencias finitas MacCormack-TVD y el método de simulación numérica FLAC. Los resultados muestran lo siguiente: (1) Los factores de control principal del deslizamiento fueron el ciclo a largo plazo de congelación y descongelación, el ciclo de humedad y sequía, y un terremoto de magnitud media. (2) Con base en el espectro de vibración del terreno registrado durante este evento por la estación sísmica de Linzhi, las dinámicas pasan por el desarrollo del proceso de agrietamiento y articulación, el proceso de agrietamiento de las fracturas y deslizamiento, la traslación del deslizamiento de tierra en flujo de detritos, el movimiento y la deposición de estos detritos. (3) La densidad y el promedio de velocidad son de 2.0 tm-3 y 30.12 ms-1, y la descarga se muestra con el proceso de primero incremento y luego disminución. (4) Eventos similares pueden ocurrir en la hondonada de Zhamunong a futuro. Los resultados de la investigación son útiles para establecer los cimientos de estudios posteriores en los mecanismos de dinámicas y en la reducción de contramedidas de deslizamienos de tierra ocasionados por flujos de detritos.

The 160Gbps (2km SSMF) and 150Gbps (10km SSMF) amplifier-free IM/DD transmissions are demonstrated based on a commercial 10G-class DML by utilizing advanced low power and complexity digital signal processing (DSP).

Objective. To observe the effects of propofol and sevoflurane anesthesia on patients undergoing glioma surgery. Methods. 192 patients with gliomas treated in our hospital from January 2016 to January 2021 were selected. All patients were randomly divided into observation group and control group. The observation group was given sevoflurane and the control group was given propofol. The clinical effects of the two groups were observed. Results. Comparison of clinical indexes related to intraoperative conditions between the two groups revealed that the time of anesthesia and extubation after operation in the observation group were shorter than those in the control group, and the difference was statistically significant P < 0.05 . The amount of intraoperative bleeding in the observation group was less than that in the control group, and the difference was statistically significant P < 0.05 . There was no significant difference in intracranial operation time, operation time, fluid volume, and urine volume between the two groups P 05 . Comparing the recovery time of anesthesia between the two groups, the recovery time of orientation and the time of eye-opening in the observation group were significantly shorter than those in the control group P < 0.05 . Comparing the consciousness and cognitive function of the two groups, the OAAS score of the observation group after extubation, before leaving the operating room and 1 hour after extubation, was significantly higher than that of the control group P < 0.05 , and the MMSE score l h after extubation was significantly higher than that of the control group P < 0.05 . Comparing the incidence of postoperative complications between the two groups, the number of cases of restlessness, urinary infection, deep vein thrombosis, and hypertension in the observation group was lower than that in the control group, with statistical significance P < 0.05 . Conclusion. The anesthesia time and extubation time of the sevoflurane anesthesia group were shorter than that of the propofol anesthesia group, and the orientation recovery time and eye-opening time were shortened. The OAAS score of the sevoflurane anesthesia group was higher than that of the propofol anesthesia group after extubation, before extubation, and 1 hour after extubation. The probability of postoperative complications in the sevoflurane anesthesia group was lower than that in the propofol anesthesia group. Sevoflurane anesthesia may be more suitable for surgical induction of glioma patients than propofol anesthesia.

Previous research evidence suggests that microRNAs (miRNAs) play an indispensable role in onset and progression of bladder cancer (BCa). Here, we explored the functions and mechanisms of miR-5581-3p in BCa. miR-5581-3p, as a tumor suppressor in BCa, was detected at a lower expression level in BCa tissue and cells in contrast with the non-malignant bladder tissue and cells. Over-expression of miR-5581-3p remarkably dampened the migration and proliferation of BCa in vitro and in vivo. SMAD3 and FTO were identified as the direct targets of miR-5581-3p by online databases prediction and mRNA-seq, which were further verified. SMAD3 as a star molecule in modulating EMT progress of BCa had been formulated in former studies. Meanwhile, FTO proved as an N6-methyladenosine (m6A) demethylase in decreasing m6A modification was confirmed to regulate the migration and proliferation in BCa. In addition, we conducted rescue experiments and confirmed overexpressing miR-5581-3p partially rescued the effects of the overexpressing SMAD3 and FTO in BCa cells. In conclusion, our studies exhibit that miR-5581-3p is a novel tumor inhibitor of BCa.

A seedless method has been developed to synthesize seaweed-like Au nanowires on a Au substrate. The amino silane coupling agent 3-aminopropyltriethoxysilane was employed to form the active surfaces that facilitate the one dimensional growth. The growth mechanism and controlling parameters were investigated. Furthermore, the compatibility of this synthesis with a colloidal Au substrate was also demonstrated.

Circular RNAs (circRNAs) play essential roles in human bladder cancer (BCa) development, however, unusual expression patterns and functional dysfunction of circRNAs in BCa have not been evaluated. In this study, we validated that circKDM4C (hsa_circ_0001839), derived from the KDM4C gene, is elevated in BCa cell lines as well as tissues. Functionally, overexpression of circKDM4C significantly enhances, and silencing of circKDM4C suppresses migration and invasion capabilities of BCa cells. Mechanistically, circKDM4C can directly interact with miR-200b-3p and miR-200c-3p as a miRNA sponge, which enhances the expression of ZEB1 and promotes mesenchymal phenotype. Conclusively, our findings indicate that circKDM4C may act as a pro-oncogenic factor in BCa invasion and metastasis via the circKDM4C/miR-200bc-3p/ZEB1 axis, which is a potential biomarker or therapeutic target for bladder cancer.

Circular RNAs (circRNAs) are a novel class of noncoding RNAs, which are mainly formed as a loop structure at the exons caused by noncanonical splicing; they are much more stable than linear transcripts; recent reports have suggested that the dysregulation of circRNAs is associated with the occurrence and development of diseases, especially various human malignancies. Emerging evidence demonstrated that a large number of circRNAs play a vital role in a series of biological processes such as tumor cell proliferation, migration, drug resistance, and immune escape. Additionally, circRNAs were also reported to be potential prognostic and diagnostic biomarkers in cancers. In this work, we systematically summarize the biogenesis and characteristics of circRNAs, paying special attention to potential mechanisms and clinical applications of circRNAs in urological cancers, which may help develop potential therapy targets for urological cancers in the future.

Reluctance machines with DC field coil in the stator is a competitive candidate for electric vehicle propulsion due to the elimination of rare-earth permanent magnets (PM), robust structures and controllable excitation. However, their torque density cannot be compared with PM machines. Introducing rare-earth PMs into reluctance machines can be an effective way to boost torque density, but the costs will greatly increase as well. To solve this problem, this paper proposes a hybrid reluctance motor using assistive ferrite magnets in stator slots. The introduced ferrite magnets operate based on the flux modulation effect for torque density improvement. It is revealed by finite element analysis, with ferrite magnets in stator slots, machine torque density and efficiency can be improved by 20.2% and 5.1%, respectively.

Objective. To explore the value of miR-296 and miR-517c in evaluating the prognosis of patients with glioma after radiotherapy and chemotherapy. Methods. 732 patients with glioma were selected from January 2012 to January 2018. According to the effect of postoperative chemotherapy, the patients were divided into two groups: the effective group and the ineffective group. The serum miR-296, miR-517c, and clinicopathological parameters of the two groups before chemotherapy were compared. The factors affecting the sensitivity of radiotherapy and chemotherapy and the predictive efficacy of miR-296 and miR-517c on the prognosis of patients were analyzed. Results. The expression level of miR-296 in glioma tissue was significantly correlated with tumor pathological grade and depth of invasion ( P < 0.05 ), and the expression level of miR-296 in glioma tissue was significantly correlated with tumor pathological grade ( P < 0.05 ). Logistic regression analysis showed that tumor size, WHO grade, and serum miR-296 and miR-517c levels were all factors affecting chemosensitivity ( P < 0.05 ). The sensitivity, specificity, accuracy, and AUC of serum miR-296 prediction were 76.95%, 89.64%, 85.35%, and 0.891, respectively. The sensitivity, specificity, accuracy, and AUC of serum miR-517c prediction were 72.81%, 86.50%, 82.19%, and 0.739, respectively. Conclusion. miR-296 and miR-517c are closely related to the chemosensitivity and prognosis of glioma patients. High levels of miR-296 and miR-517c can enhance chemosensitivity and serve as reliable indexes to predict the prognosis of patients with glioma.

Dietary diversity is an important indicator of child malnutrition. However, little is known about the geographic variation of diet indicators across India, particularly within districts and across states. As such, the purpose of this paper was to elucidate the small area variations in diet indicators between clusters within districts of India. Overall, we found that clusters were the largest source of variation for children not eating grains, roots, and tubers, legumes and nuts, dairy, vitamin A-rich vegetables and fruits, and other vegetables and fruits. We also found positive correlations between the district percent and cluster standard deviations of children not breastfeeding or eating grains, roots, and tubers, but negative correlations between the district percent and cluster standard deviation for the remaining seven outcomes. These findings underscore the importance of targeting clusters to improve child dietary diversity.

The intending island service restoration method is one of the core technologies of self-healing control for smart distribution systems, which aims to maximize the restoration of the out-of-service loads in the out-of-service area without faults quickly. For this reason, a topology-weighted directional traversal intending island recovery method considering the uncertainty of distributed generation sources is proposed. First, divide the network level of the power-loss feeder and calculate the interval power flow of the feeder before the fault, and obtain the power flow direction when the active and reactive power of the faulted branch is the smallest so as to determine whether the distributed generation supply in the non-faulty power-loss area can restore all load power supply. If not, to determine the island recovery plan, continue to compare the distributed generation supply and the load capacity at all levels, and give priority to recovering loads with higher importance levels and smaller network levels. The traversal of the topological authority and direction effectively reduces the island recovery time and can make full use of the distributed generation output to maximize the recovery of the non-faulty power-loss area. Taking the PG&E 69-node system as an example and using the BFGS trust region algorithm to calculate the island power flow without unbalanced nodes for verification, the results show that this method consumes less time and can restore more load power supply than the existing island recovery method, which verifies the method’s effectiveness and reasonability.

BackgroundGastric cancer (GC) shows high metastasis and low survival. RNA modification writers play critical roles in tumor development. This study examined the clinical significance of RNA modification writers in GC prognosis based on four types of adenosine modifications (m1A, m6A, APA and A-to-I).ResultsWriters demonstrated high mutation and expression in GC patients. Different expressions of 26 RNA modification writers were differentially associated with GC prognosis. High-WM score group appeared worse overall survival, higher immune infiltration and activation of EMT pathways than low-WM score group. WM score was correlated with both miRNAs-targeted signaling pathways and patients’ sensitivity to chemotherapeutic drugs and efficacy of immunotherapy.ConclusionsThis study further revealed the close association between adenosine-related RNA modifications and progression of GC. A cross talk between EMT and RNA modification was identified to be one of the mechanisms underlying GC development. Our WM scoring system could serve as a clinical indicator for predicting GC prognosis. Importantly, the WM score could guide personalized treatments such as chemotherapy and immunotherapy for GC patients.

Liver cancer is one of the most common malignancies worldwide and poses a serious threat to human health. The most important treatment method, liver cancer chemotherapy, is limited due to its high toxicity and poor specificity. Targeted drug delivery systems have emerged as novel therapeutic strategies that deliver precise, substantial drug doses to target sites via targeting vectors and enhance the therapeutic efficacy. In the present study, glycyrrhetinic acid-modified hyaluronic acid (GA-HA) was used as a carrier for the model drug docetaxel (DTX) to prepare DTX-loaded GA-HA nanoparticles (DTX/GA-HA-NPs). The results indicated that the DTX/GA-HA-NPs exhibited high monodispersity (particle dispersity index, 0.209±0.116) and desirable particle size (208.73±5.0 nm) and zeta potential (-27.83±3.14 mV). The drug loading capacity and encapsulation efficiency of the NPs were 12.59±0.68 and 85.38±4.62%, respectively. Furthermore, it was determined that FITC-GA-HA was taken up by cells and distributed in the cytoplasm. DTX and DTX/GA-HA (just the DTX delivered by the nanoparticle) aggregated and altered the structure of cellular microtubules. Compared with DTX alone, DTX/GA-HA-NPs had a stronger inhibitory effect on HepG2 cell proliferation and promoted apoptosis of HepG2 cells. All experimental results indicated that DTX/GA-HA-NPs were successfully prepared and had liver-targeting and antitumor activities in vitro, which provided a foundation for future in vivo studies of the antitumor effects of DTX/GA-HA-NPs.

Since the discovery of high-temperature superconducting materials in the 1990s, high-temperature superconducting motors have gradually developed. Since the 21st century, high-temperature superconducting motor technology has developed rapidly, and a series of results have been achieved. This article describes in detail the development history of high-temperature superconducting motors in recent years, and introduces the principles of high-temperature superconducting. The structure diagram is shown. Finally, the advantages of the high-temperature superconducting motor are summarized, and its application prospects are analyzed.