H_(2)S第一吸收带振动激发态光解动力学的理论研究

本文利用切比雪夫实波包法研究了不同初始振动态下H_(2)S第一吸收带的光解量子动力学。由于初始振动态的波函数不同,计算得到的吸收光谱以及产物的振动态分布表现出不同的动力学特性,由于角坐标波函数的变化,初始伸缩振动激发态(1,0,0)和(0,0,1)的吸收光谱宽度和峰值与振动基态不同,而(0,1,0)振动态的吸收光谱中有两个几乎同样高的峰值.(0,1,0)态的产物振动态分布对激发能量的依赖不强,并由V=0的产物主导,但在(1,0,0)和(0,0,1)振动态的较低能量处占主导的产物是SH(X,V=1)碎片,产物的转动态分布对总能量的依讨赖性较弱,且分布非常冷并在j=1处达到峰值,但(0,1,0)振动态的转动态分布表现出明显的振荡,其各向异性参数随转动量子数的振荡行为不同于其他三种振动态的各向异性参数.

Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

Andrias davidianus(Chinese giant salamander,CGS)is the largest and oldest extant amphibian species in the world and is a source of prospective functional food in China.However,the progress of functional peptides mining was slow due to lack of reference genome and protein sequence data.In this study,we illustrated full-length transcriptome sequencing to interpret the proteome of CGS meat and obtain 10703 coding DNA sequences.By functional annotation and amino acid composition analysis,we have discovered various genes related to signal transduction,and 16 genes related to longevity.We have also found vast variety of functional peptides through protein coding sequence(CDS)analysis by comparing the data obtained with the functional peptide database.Val-Pro-Ile predicted by the CDS analysis was released from the CGS meat through enzymatic hydrolysis,suggesting that our approach is reliable.This study suggested that transcriptomic analysis can be used as a reference to guide polypeptide mining in CGS meat,thereby providing a powerful mining strategy for the bioresources with unknown genomic and proteomic sequences.

Acupuncture for ischemic stroke:where are we now?

Acupuncture is an effective treatment for ischemic stroke(IS)and plays a key role in neurological rehabilitation after IS.Acupuncture can improve the clinical symptoms of various complications after IS,including motor dysfunction,swallowing disorders,speech disorders,cognitive impairment,depression,insomnia,and fatigue.However,the mechanisms underlying the effects of acupuncture in IS remain unclear.Available evidence suggests that acupuncture may exert neuroprotective effects through neuroplasticity(neurogenesis and synaptogenesis),angiogenesis,cell proliferation and apoptosis,and regulation of oxidative stress,inflammation,and immunity.Further studies should be conducted to improve the high-quality evidence-based system of acupuncture intervention for IS,by focusing on the clinical and basic research design,increasing the sample size,standardizing and quantifying the standards of acupuncture operations,using multidisciplinary techniques and methods to systematically explore the key targets of acupuncture intervention for IS,and reveal the efficacy and mechanism of acupuncture in the treatment of IS.

Demagnetization Analysis and Velocity Tracking Control of In-wheel Motor

The error caused by irreversible demagnetization damages the accurate velocity tracking of an in-wheel motor in a mobile robot.A current feedforward vector control system based on ESO is proposed to compensate it for the demagnetization motor.A demagnetization mathematical model is established to describe a permanent magnet synchronous motor,which took the change of permanent magnet flux linkage parameters as a factor to count the demagnetization error in velocity tracking.The uncertain disturbance estimation model of the control system is built based on ESO,which eliminates the system error by the feedforward current compensation.It is compared with the vector control method in terms of control accuracy.The simulation results show that the current feedforward vector control method based on ESO reduces the velocity tracking error greatly in conditions of motor demagnetization less than 30%.It is effective to improve the operation accuracy of the mobile robot.

Advances in the therapeutic study of oncolytic virus in colorectal cancer

Colorectal cancer(CRC)represents a considerable global health challenge,ranking third in incidence and second in mortality worldwide.However,existing therapies for diseases with advanced stages often fail,thereby necessitating the search for more comprehensive treatments.Oncolytic virus,a novel anticancer approach,exhibits promising capabilities in selectively targeting and destroying tumor cells while augmenting their efficacy through genetic engineering modifications.Anticipated as a new therapeutic paradigm for CRC,this study aimed to assess the performance of oncolytic virus in clinical trials and explore their potential synergies with other therapeutic modalities,offering insights into the future direction of CRC treatment.

A Brief Discussion on the Landscape Balconies of New Buildings

With the acceleration of urbanization and the improvement of people’s living standards,people have increasingly higher requirements for the living environment,especially in the design of outdoor balconies.However,existing landscape balconies generally suffer from insufficient shading and rainwater drainage problems,which affects people’s living experience.In response to this problem,this article proposes a new design scheme for building landscape balconies to solve the existing problems of landscape balconies.This design plan fully considers the user’s usage needs and scenarios,improves the use value and comfort of the balcony through technical means,and achieves intelligence and functionality.

Solar cycle variations in equatorial ionospheric zonal electric fields near sunrise

In this study,we investigate the solar cycle dependence of the sunrise ionospheric zonal electric fields at the equator under geomagnetically quiet conditions.Simulations using the Thermosphere–Ionosphere–Electrodynamics General Circulation Model(TIEGCM)reveal that the equatorial eastward electric field at sunrise decreases with the increase in solar activity,independent of longitude,season,and lower atmospheric tides.The solar cycle dependence of the sunrise zonal electric field is mainly related to the zonal wind dynamo.Moreover,this solar cycle dependence of sunrise electric fields at the equator is dominated by the corresponding variation in the F-region dynamo because the response of conductivity and neutral winds near sunrise to increasing solar flux is stronger in the F-region than in the E-region,although the sunrise eastward enhancement of electric fields is mainly driven by the E-region zonal wind dynamo.Specifically,the westward gradient of low-latitude F-region neutral winds near the dawn terminator tends to produce westward electric fields in the equatorial region that are more pronounced at solar maximum,whereas the midlatitude E-region dynamo induces an eastward enhancement of sunrise electric fields at the equator that decreases slightly with increasing solar activity.This study also reveals that the reason the eastward enhancement of equatorial zonal electric fields near dawn and dusk terminators show opposite solar cycle dependence is because of their different generation mechanisms.

Biological and clinical aspects of HPV-related cancers

Cancer-related diseases represent the second overall cause of death worldwide.Human papilloma virus(HPV)is an infectious agent which is mainly sexually transmitted and may lead to HPV-associated cancers in both men and women.Almost all cervical cancers are HPV-associated,however,an increasing number of head and neck cancers(HNCs),especially oropharyngeal cancer,can be linked to HPV infection.Moreover,anogenital cancers,including vaginal,vulvar,penial,and anal cancers,represent a subset of HPVrelated cancers.Whereas testing and prevention of cervical cancer have significantly improved over past decades,anogenital cancers remain more difficult to confirm.Current clinical trials including patients with HPV-related cancers focus on finding proper testing for all HPV-associated cancers as well as improve the currently applied treatments.The HPV viral oncoproteins,E6 and E7,lead to degradation of,respectively,p53 and pRb resulting in entering the S phase without G1 arrest.These high-risk HPV viral oncogenes alter numerous cellular processes,including DNA repair,angiogenesis,and/or apoptosis,which eventually result in carcinogenesis.Additionally,a comprehensive analysis of gene expression and alteration among a panel of DNA double strand breaks(DSB)repair genes in HPV-negative and HPV-positive HNC cancers reveals differences pointing to HPV-dependent modifications of DNA repair processes in these cancers.In this review,we discuss the current knowledge regarding HPV-related cancers,current screening,and treatment options as well as DNA damage response-related biological aspects of the HPV infection and clinical trials.

Resting-state functional connectivity abnormalities in first-onset unmedicated depression

Depression is closely linked to the morphology and functional abnormalities of multiple brain regions; however, its topological structure throughout the whole brain remains unclear. We col- lected resting-state functional MRI data from 36 first-onset unmedicated depression patients and 27 healthy controls. The resting-state functional connectivity was constructed using the Auto- mated Anatomical Labeling template with a partial correlation method. The metrics calculation and statistical analysis were performed using complex network theory. The results showed that both depressive patients and healthy controls presented typical small-world attributes. Compared with healthy controls, characteristic path length was significantly shorter in depressive patients, suggesting development toward randomization. Patients with depression showed apparently abnormal node attributes at key areas in cortical-striatal-pallidal-thalamic circuits. In addition, right hippocampus and right thalamus were closely linked with the severity of depression. We se- lected 270 local attributes as the classification features and their P values were regarded as criteria for statistically significant differences. An artificial neural network algorithm was applied for classification research. The results showed that brain network metrics could be used as an effec- tive feature in machine learning research, which brings about a reasonable application prospect for brain network metrics. The present study also highlighted a significant positive correlation between the importance of the attributes and the intergroup differences; that is, the more sig- nificant the differences in node attributes, the stronger their contribution to the classification. Experimental findings indicate that statistical significance is an effective quantitative indicator of the selection of brain network metrics and can assist the clinical diagnosis of depression.

An abnormal resting-state functional brain network indicates progression towards Alzheimer's disease

Brain structure and cognitive function change in the temporal lobe, hippocampus, and prefrontal cortex of patients with mild cognitive impairment and Alzheimer＇s disease, and brain network-connection strength, network efficiency, and nodal attributes are abnormal. However, existing research has only analyzed the differences between these patients and normal controls. In this study, we constructed brain networks using resting-state functional MRI data that was extracted from four populations （nor- mal controls, patients with early mild cognitive impairment, patients with late mild cognitive impairment, and patients with Alzheimer＇s disease） using the Alzheimer＇s Disease Neuroimaging Initiative data set. The aim was to analyze the characteristics of resting-state functional neural networks, and to observe mild cognitive impairment at different stages before the transformation to Alzheimer＇s disease. Results showed that as cognitive deficits increased across the four groups, the shortest path in the rest- ing-state functional network gradually increased, while clustering coefficients gradually decreased. This evidence indicates that dementia is associated with a decline of brain network efficiency. In addi- tion, the changes in functional networks revealed the progressive deterioration of network function across brain regions from healthy elderly adults to those with mild cognitive impairment and AIz- heimer＇s disease. The alterations of node attributes in brain regions may reflect the cognitive functions in brain regions, and we speculate that early impairments in memory, hearing, and language function can eventually lead to diffuse brain injury and other cognitive impairments.

Performant Au hydrogenation catalyst cooperated with Cu-doped Al_(2)O_(3) for selective conversion of furfural to furfuryl alcohol at ambient pressure

Catalytic hydrogenation of furfural to furfuryl alcohol is an important upgrading process for valorization of biomass-derived furanyl platform molecules.However,selective hydrogenation of a,b-unsaturated aldehydes like furfural to the corresponding alcohols at ambient pressure remains challenging in sustainable chemistry.Till date heterogeneous Au hydrogenation catalyst has been scarcely reported for this reaction due to the low reactivity of Au for H_(2)dissociation.In this work,we showed that Au nanoparticles(loading:0.2 wt%)with a mean size of about 3 nm supported on Cu-doped Al_(2)O_(3)can efficiently hydrogenate furfural to furfuryl alcohol in liquid phase at ambient pressure.We demonstrated that doping a small amount of Cu(2 mol%)to g-Al_(2)O_(3)may modify the Lewis acidity-basicity of Al_(2)O_(3)and simultaneously induce the presence of sufficient Cu^(+) species on surface,which facilitated the hydrogen transfer from i-PrOH to furfural.Moreover,we observed an enhanced reactivity of Au toward molecular H_(2)via cooperation with the Lewis acidic-basic Cu_(2)O-Al_(2)O_(3)support.Hence,100%yield to furfuryl alcohol with a productivity of 0.98 g_(FA),h^(-1),g^(-1)_(cat.)at 120C and 0.1 MPa H_(2)can be obtained.The prepared Au/Cu-Al_(2)O_(3)catalyst was found reusable and was effective to the concentrated furfural solution,as well as several typical unsaturated aldehydes.

Comparative study on the weight loss and lipid metabolism by tea polyphenols in diet induced obese C57BL/6J pseudo germ free and conventionalized mice

The role of gut microbiota in terms of host health is becoming increasingly important.In this study,the comparative effects of tea polyphenols(TPs)on weight loss and lipid metabolism on conventionalized mice(CVZ)and pseudo germ-free(PGF)mice(treated with antibiotics)were investigated.Our findings revealed that high fat(HF)diet considerably increased the body weight,total fat and upsurge lipid indices in CVZ mice but PGF mice were not sensitive to the effect of HF diet as CVZ mice.After the dietary administration of TP,body weight,perirenal fat and epididymal fat,liver weight,glucose(GLU)level,total chloestrol(TC level),high density lipoprotein-cholesterol(HDL-C)level significantly lowered in PGF mice as compared to CVZ mice group.However,the area of fat cells and triglyceride(TG)level were significantly increased in PGF mice.In CVZ mice,TP intervention resulted in a considerable drop in the Firmicutes/Bacteroides ratio as compared to PGF mice.The intestinal flora of PGF mice was severely reduced after antibiotic treatment,while TP administration restored intestinal diversity;the abundance of Akkermansia and Lactobacillus increased,whereas the abundance of Enterobacteriaceae and Prevotella reduced.Overall,we can assume that PGF obese mice administered with TP have less anti-obesity effects compared to obese CVZ mice.

The construction of molybdenum disulfide/cobalt selenide heterostructures @ N-doped carbon for stable and high-rate sodium storage

Constructing heterostructures is an important approach to develop high-performance anode materials for sodium ion batteries(SIBs).The abundant phase interfaces provide numerous defects and active sites for rapid electron/ion transport.Herein,CoSe_(2)■NC@NC/MoS_(2) heterostructures are prepared through a multi-step reaction strategy,CoSe_(2) nanoparticles served as the coating shells for MoS_(2) cores are anchored in carbon frameworks.The core–shell structure effectively buffers the double volume expansion and inhibits the dissolution of MoS_(2) and CoSe_(2) in the electrolyte.AsSIBs anodes,the heterostructure delivers a high reversible capacity of 481.6 m Ah g^(-1) at 0.5 A g^(-1) after 100 cycles,superior rate capability(174.5 m Ah g^(-1) at 20.0 A g^(-1)),excellent long-term cycle performance(333.4 m Ah g^(-1) after 2000 cycles at 5.0 A g^(-1)).The DFT calculation proves that the electronic distribution of heterostructures is reconstructed with enhanced conductivity.The kinetic analysis,mechanism characterizations and full-cells tests exhibit the synergistic reaction mechanism among different components and practical application prospects.The heterostructure also shows more rapid ions diffusion kinetics than single components.

Density limit disruption prediction using a long short-term memory network on EAST

Disruption prediction using a long short-term memory(LSTM)algorithm has been developed on EAST,due to its inherent advantages in time series data processing.In the present work,LSTM is used as the model and the AUC(area under receiver operation characteristic curve)is used as the evaluation index.When the model is trained on data from the plasma current flattop phase and tested on data from the same period multiple times,the highest AUC is 0.8646 and the training time is about 6900 s per epoch.For comparison,the last 1000 ms of the flattop phases are intercepted as short time sequences.When the model is trained on data from short time sequences and tested on data from the same period,the highest AUC is increased to 0.9379 and the training time is restricted to 36 s per epoch.When the best model trained on the short time sequences is applied to the flattop phase for testing,the AUC is up to 0.9189.The experiment results show that it is possible for LSTM to train the model on data from short time sequences and migrate the model to the entire flattop phase,with a shorter training time and higher AUC value.

肛管直肠黑色素瘤10例临床分析并文献复习

目的探讨肛管直肠恶性黑色素瘤(ARMM)的临床病理特征及诊治方法。方法回顾性分析苏州大学附属第一医院2011~2021年间收治的ARMM10例并结合文献复习,对其临床资料、病理特点、治疗结果和预后情况进行探讨并总结诊治经验。结果10例ARMM患者中,男性4例,女性6例;年龄50~79岁,平均发病年龄(61.4±7.6)岁。患者临床表现多样,但以便血为主,缺乏特异性,所有患者术前行CEA,CA19-9定量检测结果均正常;10例患者中,9例行免疫组化染色,其中主要指标有S-100、HBM、MelanA、Ki-67,9例患者S-100均为阳性;HBM8例阳性;MelanA除4例未查外,4例阳性,1例阴性。9例患者Ki-67均为阳性,其中5例阳性区>50%。6例接受腹会阴联合肿瘤切除术(Miles术),4例接受经肛门直肠肿物切除术;5例术后接受综合治疗,1例术后因泌尿系转移行尿道切除术,4例术后未行辅助治疗。患者总体生存期5.5个月~108个月,平均生存(30.6±29.5)个月,中位生存期28.0个月。结论ARMM是一种临床上罕见且恶性程度极高的恶性肿瘤,临床表现不典型,主要通过病理活检来确诊,对于确诊患者行腹会阴联合切除是主要的手术方式,术后可以辅助放化疗和免疫治疗。

Evaluating Performance of Different RNA Secondary Structure Prediction Programs Using Self-cleaving Ribozymes

Accurate identification of the correct,biologically relevant RNA structures is critical to understanding various aspects of RNA biology since proper folding represents the key to the functionality of all types of RNA molecules and plays pivotal roles in many essential biological processes.Thus,a plethora of approaches have been developed to predict,identify,or solve RNA structures based on various computational,molecular,genetic,chemical,or physicochemical strategies.Purely computational approaches hold distinct advantages over all other strategies in terms of the ease of implementation,time,speed,cost,and throughput,but they strongly underperform in terms of accuracy that significantly limits their broader application.Nonetheless,the advantages of these methods led to a steady development of multiple in silico RNA secondary structure prediction approaches including recent deep learning-based programs.Here,we compared the accuracy of predictions of biologically relevant secondary structures of dozens of self-cleaving ribozyme sequences using seven in silico RNA folding prediction tools with tasks of varying complexity.We found that while many programs performed well in relatively simple tasks,their performance varied significantly in more complex RNA folding problems.However,in general,a modern deep learning method outperformed the other programs in the complex tasks in predicting the RNA secondary structures,at least based on the specific class of sequences tested,suggesting that it may represent the future of RNA structure prediction algorithms.

A multifunctional nanoaggregate-based system for detection of rheumatoid arthritis via Optoacoustic/NIR-Ⅱ fluorescent imaging and therapy via inhibiting JAK-STAT/NF-κB/NLRP3 pathways

Rheumatoid arthritis(RA)is a debilitating autoimmune disease that causes chronic pain and serious complications,presenting a significant challenge to treat.Promising approaches for treating RA involve signaling pathways modulation and targeted therapy.To this end,a multifunctional nanosystem,TPC-U@HAT,has been designed for RA therapy,featuring multitargeting,dual-stimuli response,and on-demand drug release capabilities.TPC-U@HAT is composed of a probe/prodrug TPC,a JAK1 kinase inhibitor upadacitinib,and the drug carrier HAT.TPC is composed of an aggregation-induced emission(AIE)-active NIR-II chromophore TPY and an NF-κB/NLRP3 inhibitor caffeic acid phenethyl ester(CAPE),connected via boronic ester bond which serves as the reactive-oxygen-species-responsive linker.The carrier,HAT,is created by grafting bone-targeting alendronate and hydrophobic tocopheryl succinate onto hyaluronic acid chains,which can encapsulate TPC and upadacitinib to form TPC-U@HAT.Upon intravenous injection into mice,TPC-U@HAT accumulates at inflamed lesions of RA through both active and passive targeting,and the overexpressed hyaluronidase and H_(2)O_(2) therein cleave the hyaluronic acid polymer chains and boronate bonds,respectively.This generates an AIE-active chromophore for detection and therapeutic evaluation of RA via both optoacoustic imaging and NIR-II fluorescent imaging and concomitantly releases CAPE and upadacitinib to exert efficacious therapy by inhibiting NF-κB/NLRP3 and JAK-STAT pathways.

Proteomic analysis of ferroptosis pathways reveals a role of CEPT1 in suppressing ferroptosis

Ferroptosis has been recognized as a unique cell death modality driven by excessive lipid peroxidation and unbalanced cellular metabolism.In this study,we established a protein interaction landscape for ferroptosis pathways through proteomic analyses,and identified choline/ethanolamine phosphotransferase 1(CEPT1)as a lysophosphatidylcholine acyltransferase 3(LPCAT3)-interacting protein that regulates LPCAT3 protein stability.In contrast to its known role in promoting phospholipid synthesis,we showed that CEPT1 suppresses ferroptosis potentially by interacting with phospholipases and breaking down certain pro-ferroptotic polyunsaturated fatty acid(PUFA)-containing phospholipids.Together,our study reveals a previously unrecognized role of CEPT1 in suppressing ferroptosis.

GA-LSTM speed prediction-based DDQN energy management for extended-range vehicles

In this paper,a dual deep Q-network(DDQN)energy management model based on long-short memory neural network(LSTM)speed prediction is proposed under the model predictive control(MPC)framework.The initial learning rate and neuron dropout probability of the LSTM speed prediction model are optimized by the genetic algorithm(GA).The prediction results show that the root-mean-square error of the GA-LSTM speed prediction method is smaller than the SVR method in different speed prediction horizons.The predicted demand power,the state of charge(SOC),and the demand power at the current moment are used as the state input of the agent,and the real-time control of the control strategy is realized by the MPC method.The simulation results show that the proposed control strategy reduces the equivalent fuel consumption by 0.0354 kg compared with DDQN,0.8439 kg compared with ECMS,and 0.742 kg compared with the power-following control strategy.The difference between the proposed control strategy and the dynamic planning control strategy is only 0.0048 kg,0.193%,while the SOC of the power battery remains stable.Finally,the hardware-in-the-loop simulation verifies that the proposed control strategy has good real-time performance.

Sticked-Layer Strategy to a Flexible-Robust Hydrogen-Bonded Organic Framework for Efficient C_(2)H_(2)/CO_(2)Separation

Flexible-robust hydrogen-bonded organic frameworks(HOFs)are attracting increasing interest due to their excellent separation performance for important industrial gases,but the construction remains challenging.Herein,a sticked-layer strategy is first proposed to construct a flexible-robust HOF,HOFFJU-8,from a donor(D)–π–acceptor(A)molecule 4,4′,4″,4‴-(pyrrolo[3,2-b]pyrrole-1,2,4,5-tetrayl)tetrabenzonitrile(DP-4CN).HOF-FJU-8 is amicroporous three-dimensional framework composed of two kinds of DP-4CN molecules,one acting as building units for the two-dimensional layer via C≡N···H–C hydrogen bond dimers and another as the sticks to link the layers along channels through D–Aπ···πinteractions.The activated framework HOF-FJU-8a possesses flexible-robust pore characteristics,as determined by the gas adsorption and in situ gas-loaded powder X-ray diffraction.HOF-FJU-8a exhibits adaptive adsorption and stronger binding affinity to C_(2)H_(2)rather than CO_(2)due to the flexible-robust nature,which can effectively separate acetylene and carbon dioxide mixtures.