Metabotropic glutamate receptors(mGluRs)in epileptogenesis:an update on abnormal mGluRs signaling and its therapeutic implications

Epilepsy is a neurological disorder characterized by high morbidity,high recurrence,and drug resistance.Enhanced signaling through the excitatory neurotransmitter glutamate is intricately associated with epilepsy.Metabotropic glutamate receptors(mGluRs)are G protein-coupled receptors activated by glutamate and are key regulators of neuronal and synaptic plasticity.Dysregulated mGluR signaling has been associated with various neurological disorders,and numerous studies have shown a close relationship between mGluRs expression/activity and the development of epilepsy.In this review,we first introduce the three groups of mGluRs and their associated signaling pathways.Then,we detail how these receptors influence epilepsy by describing the signaling cascades triggered by their activation and their neuroprotective or detrimental roles in epileptogenesis.In addition,strategies for pharmacological manipulation of these receptors during the treatment of epilepsy in experimental studies is also summarized.We hope that this review will provide a foundation for future studies on the development of mGluR-targeted antiepileptic drugs.

Optimization of extreme ultraviolet vortex beam based on high harmonic generation

In high harmonic generation(HHG),Laguerre–Gaussian(LG) beams are used to generate extreme ultraviolet(XUV)vortices with well-defined orbital angular momentum(OAM),which have potential applications in fields such as microscopy and spectroscopy.An experimental study on the HHG driven by vortex and Gaussian beams is conducted in this work.It is found that the intensity of vortex harmonics is positively correlated with the laser energy and gas pressure.The structure and intensity distribution of the vortex harmonics exhibit significant dependence on the relative position between the gas jet and the laser focus.The ring-like structures observed in the vortex harmonics,and the interference of quantum paths provide an explanation for the distinct structural characteristics.Moreover,by adjusting the relative position between the jet and laser focus,it is possible to discern the contributions from different quantum paths.The optimization of the HH vortex field is applicable to the XUV,which opens up a new way for exploiting the potential in optical spin or manipulating electrons by using the photon with tunable orbital angular momentum.

Elliptically polarized high-order harmonic generation of Ar atom in an intense laser field

High-order harmonic generation(HHG) of Ar atom in an elliptically polarized intense laser field is experimentally investigated in this work.Interestingly,the anomalous ellipticity dependence on the laser ellipticity(ε) in the lower-order harmonics is observed,specifically in the 13rd-order,which displays a maximal harmonic intensity at ε ≈ 0.1,rather than at ε = 0 as expected.This contradicts the general trend of harmonic yield,which typically decreases with the increase of laser ellipticity.In this study,we attribute this phenomenon to the disruption of the symmetry of the wave function by the Coulomb effect,leading to the generation of a harmonic with high ellipticity.This finding provides valuable insights into the behavior of elliptically polarized harmonics and opens up a potential way for exploring new applications in ultrafast spectroscopy and light–matter interactions.

Chronic pancreatitis:Pain and computed tomography/magnetic resonance imaging findings

Chronic pancreatitis(CP)is a fibroinflammatory disease characterized by irreversible destruction of pancreatic tissue.With the development of the disease,it may lead to exocrine and/or endocrine insufficiency.CP is one of the common diseases that cause abdominal pain,which will not get permanent spontaneous relief as the disease evolves.The American College of Gastroenterology clinical guidelines recommend computed tomography or magnetic resonance imaging as the first-line examination for the diagnosis of CP.CP common imaging findings include pancreatic atrophy,irregular dilatation of the pancreatic duct,calcification of pancreatic parenchyma,pancreatic duct stones,etc.In clinical practice,whether any correlations between CP-induced abdominal pain patterns(no pain/constant/intermittent pain)and corresponding imaging findings present are not well known.Therefore,this review aims to comprehensively sort out and analyze the relevant information by collecting lots of literature on this field,so as to construct a cross-bridge between the clinical manifestations and imaging manifestations of CP patients.Also,it provides an imaging basis and foundation for the classification and diagnosis of abdominal pain types in clinical CP patients.

Recent advances in orally administered cell-specific nanotherapeutics for inflammatory bowel disease

Inflammatory bowel disease(IBD) is a chronic relapsing disease in gastrointestinal tract. Conventional medications lack the efficacy to offer complete remission in IBD therapy,and usually associate with serious side effects. Recent studies indicated that nanoparticle-based nanotherapeutics may offer precise and safe alternative to conventional medications via enhanced targeting,sustained drug release,and decreased adverse effects. Here,we reviewed orally cell-specific nanotherapeutics developed in recent years. In addition,the various obstacles for oral drug delivery are also reviewed in this manuscript. Orally administrated cell-specific nanotherapeutics is expected to become a novel therapeutic approach for IBD treatment.

中国政治学自主知识体系建构的文化安全审视

中国现代政治知识虽然从源头上不能完全排除传统时代的理论影响,但它的概念体系及理论架构等却显然来自西方,以西释中、西主中附,在一定历史时期成为学术常态。政治学以人为研究对象,具有强烈的价值属性,即使是其中的规律性内容,也不具有放之四海而皆准的普遍适用性,中国与西方在社会性质及意识形态上有一定程度的敌对性,如果中国在政治知识上缺乏对西方的必要警惕,就必定会面临根本性文化安全问题,并因文化安全问题连带产生政治安全问题。中国必须在政治知识上具有高度自主性,在学习、借鉴和消化西方政治知识的同时,保持文化安全的高度警惕,对西方政治知识中的概念、范畴、命题和判断进行必要的文化安全审视,抵御和化解风险,切实维护文化安全。

SSE-Ship: A SAR Image Ship Detection Model with Expanded Detection Field of View and Enhanced Effective Feature Information

In this paper, we propose a SAR image ship detection model SSE-Ship that combines image context to extend the detection field of view domain and effectively enhance feature extraction information. This method aims to solve the problem of low detection rate in SAR images with ship combination and ship fusion scenes. Firstly, we propose STCSPB network to solve the problem of ship and non-ship object fusion by combining image contextual feature information to distinguish ship and non-ship objects. Secondly, we combine SE Attention to enhance the effective feature information and effectively improve the detection accuracy in combined ship driving scenes. Finally, we conducted extensive experiments on two standard base datasets, SAR-Ship and SSDD, to verify the effectiveness and stability of our proposed method. The experimental results show that the SSE-Ship model has P = 0.950, R = 0.946, mAP_0.5:0.95 = 0.656 and FPS = 50 on the SAR-Ship dataset and mAP_0.5 = 0.964 and R = 0.940 on the SSDD dataset.

从传说到历史:中国上古国家诞生进程中政治伦理观念的阶段性发展

中国上古传说的源头无疑是神话传说,但传说在发展过程中发生了历史化的重大转变,传说的内容被归纳进了历史叙事的脉络中,并展现了其伦理化的内容倾向,在一定程度上开启了为国家出现准备伦理论说的端倪。这种端倪在很大程度上反映了国家发育的实践要求,也在一定程度上满足了国家发育的要求,虽然它主要是通过故事性叙述而非通过言论来表达其内容,但它已经在事实上开启了中国政治伦理思想从传说中走出来的思想行程。当中国政治伦理思想的表达逐渐达到了可以用语言做清晰表达的时候,它就走完了从传说到历史的历史行程与理论进程,初步具备了政治伦理思想的架构雏形,并具备了同国家机构进行互动的自觉性。中国政治伦理思想一旦发育到了这一程度,历史也就由此而翻开了新的一页,进入了家天下的阶段。

A New Diagnostic Method Applied to Gearbox Missing Gear Faults——LOD-ICA

With the increasingly stringent requirements for carbon emissions,countries have increased the scale of clean energy use in recent years.As an important new clean energy source,the ratio of wind power in energy utilization has been increasing.The horizontal axis wind turbine is the main form of wind power generation,which is subject to random wind loads during operation and is prone to various failures after a long period of operation,resulting in reduced power generation efficiency or even shutdown.In order to ensure stable external power transmission,it is necessary to perform fault diagnosis for wind turbines.However,the traditional time-frequency analysis method is defective.This paper proposes a new LOD-ICA method to realize the resolution of the vibration signals mode mixing problem incorporated the merits of both methods.The LOD-ICA method and the LOD method based on noise-assisted analysis decompose the same signal to produce different signal components.The feasibility of the LOD-ICA method was verified by comparing the correlation coefficients between each of the signal components generated by the two methods and the original signal.In the field of wind turbine fault diagnosis,the LOD-ICA method is employed to the fault characteristics of gearboxes to extract the fault signs of vibration signals,further demonstrated the superiority of the LOD-ICA method in processing vibration signals of rotating machinery.

Multimodality evoked potentials in patients with delayed encephalopathy after acute carbon monoxide poisoning

Objective： To evaluate the diagnostic and prognostic values in patients with delayed encephalopathy after acute carbon monoxide poisoning. Methods： The tibial nerve somatosensory evoked potentials （SEPs）, vision evoked potentials （VEPs）, and brain stem audition evoked potentials（BAEPs） were performed in 32 healthy adults and 43 patients with delayed encephalopathy after acute carbon monoxide poisoning. Results： This paper indicated abnormalities of tibial nerve SEPs in 31 patients （31/43, 72.1%）, VEPs in 17 patients （17/28, 60.7%）, and BAEPs in 14, patients （14/43, 32.6%）. These results showed that the greatest diagnostic value was SEPs, followed by VEPs and, BAEPs with the lowest sensitivity. Conclusion： Multimodality evoked potentials （EPs） can be used for evaluating the diagnostic and prognostic values in cases of delayed encephalopathy after acute carbon monoxide poisoning.

Enhancing the stability of planar perovskite solar cells by green and inexpensive cellulose acetate butyrate

Although the efficiency of organic–inorganic hybrid halide perovskite solar cells has been improved rapidly, the intrinsic instability of perovskite materials restricts their commercial application. Here, an eco-friendly and low-cost organic polymer, cellulose acetate butyrate(CAB), was introduced to the grain boundaries and surfaces of perovskite, resulting in a high-quality and low-defect perovskite film with a nearly tenfold improvement in carrier lifetime. More importantly, the CAB-treated perovskite films have a well-matched energy level with the charge transport layers, thus suppressing carrier nonradiative recombination and carrier accumulation. As a result, the optimized CAB-based device achieved a champion efficiency of 21.5% compared to the control device(18.2%). Since the ester group in CAB bonds with Pb in perovskite, and the H and O in the hydroxyl group bond with the I and organic cations in perovskite,respectively, it will contribute to superior stability under heat, high humidity, and light soaking conditions. After aging under 35% humidity(relative humidity, RH) for 3300 h, the optimized device can still maintain more than 90% of the initial efficiency;it can also retain more than 90% of the initial efficiency after aging at 65 ℃, 65% RH, or light(AM 1.5G) for 500 h. This simple optimization strategy for perovskite stability could facilitate the commercial application of perovskite solar cells.

A Mg alloy with no hydrogen evolution during dissolution

Hydrogen evolution is normally associated with the corrosion or dissolution of Mg alloys in aqueous solutions.This work studied the corrosion behavior of sputtered pure Mg,Mg82Zn18(at.%),Mg64Zn36(at.%),and pure Zn in 3.5%Na Cl solution.Mg64Zn36had(ⅰ)an amorphous microstructure with some nano-scale grains,(ⅱ)a corrosion rate substantially lower than that of pure Mg,and(ⅲ)no hydrogen evolution during corrosion or anodic dissolution,because the positive corrosion potential retarded the cathodic hydrogen evolution.This is a new route to prevent hydrogen evolution during Mg corrosion,which has never previously been realized.

Sampled-data control through model-free reinforcement learning with effective experience replay

Reinforcement Learning(RL)based control algorithms can learn the control strategies for nonlinear and uncertain environment during interacting with it.Guided by the rewards generated by environment,a RL agent can learn the control strategy directly in a model-free way instead of investigating the dynamic model of the environment.In the paper,we propose the sampled-data RL control strategy to reduce the computational demand.In the sampled-data control strategy,the whole control system is of a hybrid structure,in which the plant is of continuous structure while the controller(RL agent)adopts a discrete structure.Given that the continuous states of the plant will be the input of the agent,the state–action value function is approximated by the fully connected feed-forward neural networks(FCFFNN).Instead of learning the controller at every step during the interaction with the environment,the learning and acting stages are decoupled to learn the control strategy more effectively through experience replay.In the acting stage,the most effective experience obtained during the interaction with the environment will be stored and during the learning stage,the stored experience will be replayed to customized times,which helps enhance the experience replay process.The effectiveness of proposed approach will be verified by simulation examples.

Acute pancreatitis:Structured report template of magnetic resonance imaging

Acute pancreatitis(AP)is a common acute abdomen disease of the digestive system.It has a potentially fatal risk because of its variable severity and various complications.With the widespread application of the Revised Atlanta Classification,new requirements for AP imaging reports are introduced.Experts in abdominal radiology and pancreatology in the United States published the first structured computed tomography reporting template for AP in 2020.However,there is no corresponding structured magnetic resonance imaging(MRI)reporting template globally.Therefore,this article focuses on the structured MRI report of AP images from our pancreatitis imaging center,which is intended to improve the systematic understanding of this disease and standardize the writing of MRI structured reports.In the meantime,we aim to promote the clinical diagnosis and assessment of MRI efficacy for AP and its multiple complications.It is further intended to facilitate academic exchanges and scientific research between different medical centers.

Pulmonary delivery of mucus-traversing PF127-modified silk fibroin nanoparticles loading with quercetin for lung cancer therapy

The mucosal barrier remains a major barrier in the pulmonary drug delivery system,as mucociliary clearance in the airway accelerates the removal of inhaled nanoparticles(NPs).Herein,we designed and developed the inhalable Pluronic F127-modified silk fibroin NPs loading with quercetin(marked as QR-SF(PF127)NPs),aiming to solve the airway mucus barrier and improve the cancer therapeutic effect of QR.The PF127 coating on the SF NPs could attenuate the interaction between NPs and mucin proteins,thus facilitating the diffusion of SF(PF127)NPs in the mucus layer.The QR-SF(PF127)NPs had particle sizes of approximately 200 nm with negatively charged surfaces and showed constant drug release properties.Fluorescence recovery after photobleaching(FRAP)assay and transepithelial transport test showed that QR-SF(PF127)NPs exhibited superior mucus-penetrating ability in artificial mucus and monolayer Calu-3 cell model.Notably,a large amount of QR-SF(PF127)NPs distributed uniformly in the mice airway section,indicating the good retention of NPs in the respiratory tract.Themicemelanoma lungmetastasismodel was established,and the therapeutic effect of QR-SF(PF127)NPs was significantly improved in vivo.PF127-modified SF NPs may be a promising strategy to attenuate the interaction with mucin proteins and enhancemucus penetration efficiency in the pulmonary drug delivery system.

Magnetic resonance imaging for acute pancreatitis in type 2 diabetes patients

Type 2 diabetes mellitus(T2DM)and its complications have significantly increased the burden of mortality and disability globally,making diabetes one of the most dangerous and prevalent chronic diseases.Acute pancreatitis(AP)is one of the most frequent gastrointestinal causes for hospital admission,which is a common exocrine pancreatic inflammatory disease that can cause severe abdominal pain and multiple organ dysfunction.There is an inseparable relationship between AP and diabetes.Diabetes is a high risk factor of AP,and patients with AP can develop pancreatogenic diabetes.In T2DM patients,the incidence rate of AP is significantly higher than that of the general population,and the clinical symptoms are more severe,with the majority of cases being moderate to severe AP.This review briefly introduces the pathogenesis and clinical features of AP in T2DM patients,focusing on the magnetic resonance imaging(MRI)manifestations of AP in T2DM patients.Our aim is to evaluate the severity of AP in patients with T2DM by MRI,so as to help clinicians assess the patient's condition and prognosis.

Jackstone in the renal calyx:A rare case report

BACKGROUND Jackstone is a rare entity of calculi in urinary tracts and has the characteristic appearance resembling toy jacks.They are nearly always reported to occur in the urinary bladder,we first report a rare case of jackstone located in the obstructed renal calyx.CASE SUMMARY We report a 46-year-old man presenting with intermittent,painless gross hematuria and left flank pain.Urinary computed tomography revealed staghorn stones and secondary hydronephrosis.A jackstone with radiating branches was found in one of the dilated renal calyx.Percutaneous nephrolithotomy was performed and endoscopic images were recorded during the operation.Postoperative stone composition analysis revealed it as calcium oxalate monohydrate stones.CONCLUSION Jackstones can occur in the renal collecting system besides the bladder.The unique appearance and imaging manifestations are the most important factors in the diagnosis of jackstones,and further exploration of the formation mechanism is required.

Review of the Impact of Grassland Degradation on Ecosystem Service Value

In recent years, grassland degradation has become one of China’s most critical environmental problems due to the interaction of natural environmental factors and human causes. Based on the systematic analysis of the spatial characteristics of grassland degradation and the current research status of environmental drivers, this paper summarizes and summarizes the research methods on the impact of grassland degradation on natural ecological service function and social and economic value to understand further the natural ecological service function of grassland degradation and its impact on social and economic benefits. The results show that since the function of grassland ecosystem service is much larger than the biomass value it provides, we should focus on the effective management of grassland from the design concept of ecological service function to achieve the sustainable development of grassland. We should do an excellent job in the comprehensive application of various ecosystems and service value evaluation methods in the future.

Classification of epilepsy using computational intelligence techniques

This paper deals with a real-life application of epilepsy classification, where three phases of absence seizure, namely pre-seizure, seizure and seizure-free, are classified using real clinical data. Artificial neural network （ANN） and support vector machines （SVMs） combined with su- pervised learning algorithms, and k-means clustering （k-MC） combined with unsupervised techniques are employed to classify the three seizure phases. Different techniques to combine binary SVMs, namely One Vs One （OvO）, One Vs All （OVA） and Binary Decision Tree （BDT）, are employed for multiclass classification. Comparisons are performed with two traditional classification methods, namely, k-Nearest Neighbour （k- NN） and Naive Bayes classifier. It is concluded that SVM-based classifiers outperform the traditional ones in terms of recognition accuracy and robustness property when the original clinical data is distorted with noise. Furthermore, SVM-based classifier with OvO provides the highest recognition accuracy, whereas ANN-based classifier overtakes by demonstrating maximum accuracy in the presence of noise.

Overview of Grassland Degradation Research Based on Remote Sensing Monitoring

In recent years, grassland degradation has become one of the most important ecological problems in China under the interwoven influence of environmental and human factors. Based on the analysis of the spatial-temporal characteristics and driving factors of grassland degradation and in order to deeply understand the research status of grassland degradation monitoring methods and evaluation index system, this paper mainly investigates the research progress of grassland degradation remote sensing monitoring methods and evaluation indicators. Furthermore, this paper summarizes the more commonly used remote sensing monitoring methods and evaluation methods, analyzes the problems existing in the evaluation indicators of grassland degradation, and points out the research direction of the evaluation indicators in the future. Finally, a comprehensive remote sensing monitoring and evaluation system are established in this paper. Research findings: because of the variety of grassland degradation types and the emergence of remote sensing monitoring and evaluation methods, establishing a comprehensive remote sensing monitoring and evaluation system to classify and summarize the research methods of different grassland degradation can lay a foundation for the development of grassland degradation evaluation and monitoring in the future and provide research ideas. It is the trend of grassland degradation remote sensing research in the future.