用于检测痕量铅离子的功能化反射结构光纤干涉传感器

铅离子(Pb^(2+))是日常生活中常接触的有毒重金属污染物之一。本研究开发了一种新型反射式光纤干涉传感器,用于检测痕量铅离子。该传感器结构由单模光纤、无芯光纤和细芯光纤(TCF)依次拼接而成。TCF的包层被氢氟酸部分腐蚀并涂覆功能化的水凝胶传感膜。该传感膜选用甲基丙烯酸2-羟基乙酯(2-HEMA)作为识别单体。2-HEMA中的氧原子能与Pb^(2+)发生配体-受体相互作用,形成“-O-Pb-O-”交联结构,从而改变TCF的新包层有效折射率。因此,可以通过观察反射光谱中光信号的变化来检测水溶液中Pb^(2+)的浓度。所提出的传感器具有很高的检测灵敏度(1.926×10^(9)nm·mol^(-1)·L),其检测极限为4.14 ppt(1 ng·L^(-1)=1 ppt),比世界卫生组织(WHO)规定的饮用水中Pb^(2+)(10 ppb,1μg·L^(-1)=1 ppb)浓度低1000倍。此外,利用一个方程组实现了该传感器的温度自校准功能,成功地消除了环境温度的干扰。由于该传感器良好的特异性、稳定性以及反射式结构,非常便于实时远程检测,为环境和人类健康监测提供了广阔的前景。

热处理过程TiAlCrMn高熵合金的高温氧化特性与力学性能

采用真空熔炼制备不同Al、Cr、Mn含量的TiAlCrMn系高熵合金,并对其高温氧化特性和热处理前后的力学性能进行研究。结果表明,随着Al、Cr、Mn含量的增加,其高温氧化质量增加率明显降低,这是因为在氧化层中形成了连续且致密的富(Al,Cr)氧化物,阻碍氧原子与其他合金原子相互扩散形成新的氧化物。另外,热处理前后的样品,其显微硬度均存在单调递增的趋势,晶粒粗化会导致样品硬度降低,而在高含量合金元素的样品中,析出强化会改善其硬度。变形诱导强化使材料获得更高的压缩强度,在500℃热处理后的样品其屈服强度有所降低,而经过900℃热处理的材料屈服强度得到提升,但其延展性降低。

Co_(3)S_(4)-pyrolysis lotus fiber flexible textile as a hybrid electrocatalyst for overall water splitting

Electrocatalytic overall water splitting(OWS),a pivotal approach in addressing the global energy crisis,aims to produce hydrogen and oxygen.However,most of the catalysts in powder form are adhesively bounding to the electrodes,resulting in catalyst detachment by bubble generation and other uncertain interference,and eventually reducing the OWS performance.To surmount this challenge,we synthesized a hybrid material of Co_(3)S_(4)-pyrolysis lotus fiber(labeled as Co_(3)S_(4)-p LF)textile by hydrothermal and hightemperature pyrolysis processes for electrocatalytic OWS.Owing to the natural LF textile exposing the uniformly distributed functional groups(AOH,ANH_(2),etc.)to anchor Co_(3)S_(4)nanoparticles with hierarchical porous structure and outstanding hydrophily,the hybrid Co_(3)S_(4)-p LF catalyst shows low overpotentials at 10 m A cm^(-2)(η_(10,HER)=100 m Vη_(10,OER)=240 mV)alongside prolonged operational stability during electrocatalytic reactions.Theoretical calculations reveal that the electron transfer from p LF to Co_(3)S_(4)in the hybrid Co_(3)S_(4)-p LF is beneficial to the electrocatalytic process.This work will shed light on the development of nature-inspired carbon-based materials in hybrid electrocatalysts for OWS.

Analysis of explosion wave interactions and rock breaking effects during dual initiation

In blasting engineering, the location and number of detonation points, to a certain degree, regulate the propagation direction ofthe explosion stress wave and blasting effect. Herein, we examine the explosion wave field and rock breaking effect in terms of shockwave collision, stress change of the blast hole wall in the collision zone, and crack propagation in the collision zone. The produced shockwave on the collision surface has an intensity surpassing the sum of the intensities of the two colliding explosion shock waves. At the collisionlocation, the kinetic energy is transformed into potential energy with a reduction in particle velocity at the wave front and the wavefront pressure increases. The expansion form of the superposed shock wave is dumbbell-shaped, the shock wave velocity in the collisionarea is greater than the radial shock wave velocity, and the average propagation angle of the explosion shock waves is approximately 60°.Accordingly, a fitted relationship between blast hole wall stress and explosion wave propagation angle in the superposition area is plotted.Under the experimental conditions, the superimposed explosion wave stress of the blast hole wall is approximately 1.73 times the singleexplosionwave incident stress. The results of the model test and numerical simulations reveal that large-scale radial fracture cracks weregenerated on the blast hole wall in the superimposed area, and the width of the crack increased. The width of the large-scale radial fracturecracks formed by a strong impact is approximately 5% of the blast hole length. According to the characteristics of blast hole wallcompression, the mean peak pressures of the strongly superimposed area are approximately 1.48 and 1.84 times those of the weakly superimposedand nonsuperimposed areas, respectively.

Clinicopathological significance and immunotherapeutic outcome of claudin 18.2 expression in advanced gastric cancer:A retrospective study

Objective: Immunotherapeutic outcomes and clinical characteristics of claudin 18 isoform 2 positive(CLDN18.2-positive) gastric cancer(GC) vary in different clinical studies, making it difficult to optimize antiCLDN18.2 therapy. We conducted a retrospective analysis to explore the association of CLDN18.2 expression with clinicopathological characteristics and immunotherapeutic outcomes in GC.Methods: A total of 536 advanced GC patients from 2019 to 2021 in the CT041-CG4006 and CT041-ST-01clinical trials were included in the analysis. CLDN18.2 expression on ≥40% of tumor cells(2+, 40%) and CLDN18.2 expression on ≥70% of tumor cells(2+, 70%) were considered the two levels of positively expressed GC. The clinicopathological characteristics and immunotherapy outcomes of GC patients were analyzed according to CLDN18.2 expression status.Results: CLDN18.2 was expressed in 57.6%(cut-off: 2+, 40%) and 48.9%(cut-off: 2+, 70%) of patients.Programmed death-ligand 1(PD-L1) and CLDN18.2 were co-expressed in 19.8% [combined positive score(CPS)≥1, CLDN18.2(cut-off: 2+, 40%)] and 17.2% [CPS≥5, CLDN18.2(cut-off: 2+, 70%)] of patients.CLDN18.2 expression positively correlated with younger age, female sex, non-gastroesophageal junction(nonGEJ), and diffuse phenotype(P<0.001). HER2 and PD-L1 expression were significantly lower in CLDN18.2-positive GC(both P<0.05). Uterine adnexa metastasis(P<0.001) was more frequent and liver metastasis(P<0.001)was less common in CLDN18.2-positive GC. Overall survival and immunotherapy-related progression-free survival(ir PFS) were inferior in the CLDN18.2-positive group.Conclusions: CLDN18.2-positive GC is associated with poor prognosis and worse immunotherapeutic outcomes. The combination of anti-CLDN18.2 therapy, anti-PD-L1/PD-1 therapy, and chemotherapy for GC requires further investigation.

Decoupling of temporal/spatial broadening effects in Doppler wind LiDAR by 2D spectral analysis

Pulse echo accumulation is commonly employed in coherent Doppler wind LiDAR(light detection and ranging)under the assumption of steady wind.Here,the measured spectral data are analyzed in the time dimension and frequency dimension to cope with the temporal wind shear and achieve the optimal accumulation time.A hardware-efficient algorithm combining the interpolation and cross-correlation is used to enhance the wind retrieval accuracy by reducing the frequency sampling interval and then reduce the spectral width calculation error.Moreover,the temporal broadening effect and spatial broadening effect are decoupled according to the strategy we developed.

Bayesian network-based survival prediction model for patients having undergone post-transjugular intrahepatic portosystemic shunt for portal hypertension

BACKGROUND Portal hypertension(PHT),primarily induced by cirrhosis,manifests severe symptoms impacting patient survival.Although transjugular intrahepatic portosystemic shunt(TIPS)is a critical intervention for managing PHT,it carries risks like hepatic encephalopathy,thus affecting patient survival prognosis.To our knowledge,existing prognostic models for post-TIPS survival in patients with PHT fail to account for the interplay among and collective impact of various prognostic factors on outcomes.Consequently,the development of an innovative modeling approach is essential to address this limitation.AIM To develop and validate a Bayesian network(BN)-based survival prediction model for patients with cirrhosis-induced PHT having undergone TIPS.METHODS The clinical data of 393 patients with cirrhosis-induced PHT who underwent TIPS surgery at the Second Affiliated Hospital of Chongqing Medical University between January 2015 and May 2022 were retrospectively analyzed.Variables were selected using Cox and least absolute shrinkage and selection operator regression methods,and a BN-based model was established and evaluated to predict survival in patients having undergone TIPS surgery for PHT.RESULTS Variable selection revealed the following as key factors impacting survival:age,ascites,hypertension,indications for TIPS,postoperative portal vein pressure(post-PVP),aspartate aminotransferase,alkaline phosphatase,total bilirubin,prealbumin,the Child-Pugh grade,and the model for end-stage liver disease(MELD)score.Based on the above-mentioned variables,a BN-based 2-year survival prognostic prediction model was constructed,which identified the following factors to be directly linked to the survival time:age,ascites,indications for TIPS,concurrent hypertension,post-PVP,the Child-Pugh grade,and the MELD score.The Bayesian information criterion was 3589.04,and 10-fold cross-validation indicated an average log-likelihood loss of 5.55 with a standard deviation of 0.16.The model’s accuracy,precision,recall,and F1 score were 0.90,0.92,0.97,and 0.95 respectively,with the area under the receiver operating characteristic curve being 0.72.CONCLUSION This study successfully developed a BN-based survival prediction model with good predictive capabilities.It offers valuable insights for treatment strategies and prognostic evaluations in patients having undergone TIPS surgery for PHT.

Multi-cohort comprehensive analysis unveiling the clinical value and therapeutic effect of GNAL in glioma

Clinical data indicates that glioma patients have poor treatment outcomes and clinical prognosis.The role of olfactory signaling pathway-related genes(OSPRGs)in glioma has not been fully elucidated.In this study,we aimed to investigate the role and relationship between OSPRGs and glioma.Univariate and multivariate Cox regression analyses were performed to assess the relationship between OSPRGs and the overall survival of glioma based on public cohorts,and the target gene(G Protein Subunit Alpha L,GNAL)was screened.The association of GNAL expression with clinicopathological characteristics,gene mutation landscape,tumor immune microenvironment(TIME),deoxyribonucleic acid(DNA)methylation,and naris-occlusion controlled genes(NOCGs)was performed.Immunohistochemistry was used to evaluate GNAL level in glioma.Further analysis was conducted to evaluate the drug sensitivity,immunotherapy response,and functional enrichment of GNAL.GNAL was an independent prognostic factor,and patients with low GNAL expression have a poor prognosis.Expression of GNAL was closely associated with clinicopathological characteristics,DNA methylation,and several immune-related pathways.Immune infiltration analysis indicated that GNAL levels were negatively correlated with immune scores.GNAL low-expression group showed efficacy with anti-PD-1 therapy.Ten compounds with significantly different half-maximal inhibitory concentration(IC50)values between the GNAL high and low-expression groups were identified.Furthermore,its expression was associated with several immune cells,immune-related genes,and NOCGs.The expression of GNAL is closely associated with clinicopathological characteristics,TIME,and the response to therapeutic interventions,highlighting its potential as a prognostic biomarker for glioma.

Unsupervised Color Segmentation with Reconstructed Spatial Weighted Gaussian Mixture Model and Random Color Histogram

Image classification and unsupervised image segmentation can be achieved using the Gaussian mixture model.Although the Gaussian mixture model enhances the flexibility of image segmentation,it does not reflect spatial information and is sensitive to the segmentation parameter.In this study,we first present an efficient algorithm that incorporates spatial information into the Gaussian mixture model(GMM)without parameter estimation.The proposed model highlights the residual region with considerable information and constructs color saliency.Second,we incorporate the content-based color saliency as spatial information in the Gaussian mixture model.The segmentation is performed by clustering each pixel into an appropriate component according to the expectation maximization and maximum criteria.Finally,the random color histogram assigns a unique color to each cluster and creates an attractive color by default for segmentation.A random color histogram serves as an effective tool for data visualization and is instrumental in the creation of generative art,facilitating both analytical and aesthetic objectives.For experiments,we have used the Berkeley segmentation dataset BSDS-500 and Microsoft Research in Cambridge dataset.In the study,the proposed model showcases notable advancements in unsupervised image segmentation,with probabilistic rand index(PRI)values reaching 0.80,BDE scores as low as 12.25 and 12.02,compactness variations at 0.59 and 0.7,and variation of information(VI)reduced to 2.0 and 1.49 for the BSDS-500 and MSRC datasets,respectively,outperforming current leading-edge methods and yielding more precise segmentations.

Hotspots and trends of risk factors in gastric cancer: A visualization and bibliometric analysis

BACKGROUND The lack of specific symptoms of gastric cancer(GC)causes great challenges in its early diagnosis.Thus it is essential to identify the risk factors for early diagnosis and treatment of GC and to improve the survival rates.AIM To assist physicians in identifying changes in the output of publications and research hotspots related to risk factors for GC,constructing a list of key risk factors,and providing a reference for early identification of patients at high risk for GC.METHODS Research articles on risk factors for GC were searched in the Web of Science core collection,and relevant information was extracted after screening.The literature was analyzed using Microsoft Excel 2019,CiteSpace V,and VOSviewer 1.6.18.RESULTS A total of 2514 papers from 72 countries and 2507 research institutions were retrieved.China(n=1061),National Cancer Center(n=138),and Shoichiro Tsugane(n=36)were the most productive country,institution,or author,respectively.The research hotspots in the study of risk factors for GC are summarized in four areas,namely:Helicobacter pylori(H.pylori)infection,single nucleotide polymorphism,bio-diagnostic markers,and GC risk prediction models.CONCLUSION In this study,we found that H.pylori infection is the most significant risk factor for GC;single-nucleotide polymorphism(SNP)is the most dominant genetic factor for GC;bio-diagnostic markers are the most promising diagnostic modality for GC.GC risk prediction models are the latest current research hotspot.We conclude that the most important risk factors for the development of GC are H.pylori infection,SNP,smoking,diet,and alcohol.

酰胺化合物的核磁共振氢谱

酰胺是一类非常重要的化合物,广泛存在于多肽和生物碱等生物活性分子中,在化工、染料以及药物研发等领域也具有重要的应用价值。因此,学习酰胺化合物的合成以及结构鉴定具有重要的意义。由于酰胺化合物的氮原子上的孤对电子能够离域到羰基(C=O)上,导致酰胺RCO―N上的C―N键表现出部分双键性质,C―N键不能自由旋转,使得酰胺化合物的核磁共振氢谱较复杂。本文总结了酰胺的核磁共振氢谱特征,探讨了酰胺异构化的一些影响因素。通过酰胺核磁共振氢谱的学习,培养学生对核磁共振谱图解析的能力,并加深对酰胺类化合物的理解和认识。

Esophageal ulcer and multisystem inflammatory syndrome after COVID-19:A case report

BACKGROUND Multisystem inflammatory syndrome in adults(MIS-A)is a rare but severe disease occurring several weeks after severe acute respiratory syndrome coronavirus 2 infection.It develops in adults with inflammation of different organs including the gastrointestinal tract,heart,kidneys,skin and hematopoietic system.CASE SUMMARY We present a 58-year-old Chinese man diagnosed with MIS-A.His chief complaints were fever,generalized fatigue and anorexia,accompanied with rashes on his back.Further examination showed cardiac,renal and liver injury.He had melena and gastroscopy indicated esophageal ulcer and severe esophagitis.Repeated blood and sputum culture did not show growth of bacteria or fungi.Antibiotic treatment was stopped due to unsatisfactory performance.His condition improved after prednisone and other supportive treatment.CONCLUSION Gastrointestinal involvement in MIS-A is not uncommon.Intestinal involvement predominates,and esophageal involvement is rarely reported.Esophageal ulcer with bleeding could also be a manifestation of MIS-A.

Experimental study on bacteria disinfection using a pulsed cold plasma jet with helium/ oxygen mixed gas

Cold atmospheric plasma jet is widely used in many fields due to the reactive oxygen species and low temperature for heat-sensitive products. This paper presents the inactivation of bacteria via a pulsed plasma jet with He/O2 mixed gas. To evaluate the disinfection performance, Staphylococcus aureus was used as an indicator bacteria for experiments. When the plasma jet dealt with agar plates spraying bacteria, it was found that mixed gas has a better performance than pure inert gas, indicated by the disinfection area. The increment of oxygen gas addition was beneficial to the disinfection ability of the plasma jet, while the gas had an opposite effect on the length of jet production. The experiments showed the efficacy of Staphylococcus aureus disinfection could reach up to 99.47% via a helium/oxygen （2%） plasma jet.

水系锌离子电池MnO_(2)正极的3D打印

为了解决MnO_(2)正极在水系锌离子电池中循环稳定性差及离子运输缓慢等问题,采用直写成型技术制备高精度定制的3D打印MnO_(2)正极。流变测试表明,打印墨水表现出剪切变稀行为,存储模量平台值高达10^(5) Pa。SEM图像显示,100次循环后该定制网-层状结构保持完整。具有良好力学强度的3D结构有利于降低电极内残余应力,同时提供更大的比表面积。所得的3D打印正极在50 m A/g的电流密度下循环110次后,比容量为对照传统2D电极的4倍。采用多种非原位技术系统研究了3D打印电池的可逆Mn^(2+)/Mn^(4+)双氧化还原储能机制。

MicroRNAs:protective regulators for neuron growth and development

MicroRNAs(miRNAs)play an important regulatory role in neuronal growth and development.Different mi RNAs target different genes to protect neurons in different ways,such as by avoiding apoptosis,preventing degeneration mediated by conditional mediators,preventing neuronal loss,weakening certain neurotoxic mechanisms,avoiding damage to neurons,and reducing inflammatory damage to them.The high expression of mi RNAs in the brain has significantly facilitated their development as protective targets for therapy,including neuroprotection and neuronal recovery.mi RNA is indispensable to the growth and development of neurons,and in turn,is beneficial for the development of the brain and checking the progression of various diseases of the nervous system.It can thus be used as an important therapeutic target for models of various diseases.This review provides an introduction to the protective effects of mi RNA on neurons in case of different diseases or damage models,and then provides reference values and reflections on the relevant treatments for the benefit of future research in the area.

组合掺杂引入新型、多种镉配位方式增强金纳米团簇的电催化性能

为提高金纳米团簇电催化还原二氧化碳生成一氧化碳的电流密度,本文引入了一种组合掺杂法(同时掺入硫和镉),合成一种新型Au-Cd纳米团簇—Au41Cd6S2(SCH2Ph)33,并对其组成结构进行了精确表征。单晶结构表明,它包含一个双二十面体的Au23内核,所有的镉原子都掺杂在外壳层中且具有多种配位环境,外层staple(类订书针结构)除两个常见的Au3(SR)4三聚体外,还有两条独特的Au5Cd2(SR)9S长staple交叉覆盖在内核顶部,此外还发现了(S-Au-S)2(CdS-S-CdS)四聚体,这种两个Cd原子通过S原子直接相连的结构也为首次报道。与“同核异壳”的Au38(SCH2Ph)24团簇相比,Au41Cd6S2(SCH2Ph)33表现出更高的法拉第效率(−0.7 V电位时达99.3%)和更高的CO分电流密度(−0.9 V电位时为120 mA∙cm^(−2))。利用理论计算结果对Au41Cd6S2(SCH2Ph)33的高催化活性进行了解释,揭示Cd-Cd是最高活性位点,离内核最远的Au-Cd位点在同时考虑活性和选择性的情况下是最优的活性位点。本工作提供了一种提高金纳米团簇催化性能的策略,对金纳米团簇的合成、结构及构效关系研究具有重要的启发意义,有望推动相关研究的开展。

Vacancy engineering of oxidized Nb_(2)CTx MXenes for a biased nitrogen fixation

The artificial nitrogen(N_(2)) reduction reaction(NRR) via electrocatalysis is a newly developed methodology to produce ammonia(NH3) at ambient conditions,but faces the challenges in N_(2)activation and poor reaction selectivity.Herein,Nb-based MXenes are developed to remarkably enhance the NRR activity through the engineering of the stretched 3D structure and oxygen vacancies(VO).The theoretical studies indicate that N_(2)could be initially adsorbed on VOwith an end-on configuration,and the potential determining step might be the first hydrogenation step.The catalysts achieve an NH3production rate of 29.1 μg h^(-1)mg_(cat)^(-1)and excellent Faradic efficiency of 11.5%,surpassing other Nbbased catalysts.The selectivity of NRR is assigned to the unique structure of the catalysts,including(1) the layered graphitic structure for fast electron transfer and active site distribution,(2) the reactive VOfor N_(2)adsorption and activation,and(3) the expanded interlayer space for mass transfer.

Extraction of Strain Characteristic Signals from Wind Turbine Blades Based on EEMD-WT

Analyzing the strain signal of wind turbine blade is the key to studying the load of wind turbine blade,so as to ensure the safe and stable operation of wind turbine in natural environment.The strain signal of the wind turbine blade under continuous crosswind state has typical non-stationary and unsteady characteristics.The strain signal contains a lot of noise,which makes the analysis error.Therefore,it is very important to denoise and extract features of measured signals before signal analysis.In this paper,the joint algorithm of ensemble empirical mode decomposition(EEMD)and wavelet transform(WT)is used for the first time to achieve sufficient noise reduction and effectively extract the feature signals of non-stationary strain signals.The application process of EEMD-WT is optimized.This optimization can avoid the repeated selection of wavelet basis function and the number of decomposition layers due to different crosswind conditions.EEMD adaptively decomposes the strain signal into intrinsic mode functions,to judge the frequency of IMFs,remove the high-frequency noise components,retain the useful components.The useful components are denoised twice by the wavelet transform,the components and residual terms after the secondary denoising are reconstructed to obtain the characteristic signal.The EEMD-WT was applied to process the simulating signals andmeasured the strain signals.The results were compared with the results of the EEMD.The results showed that the EEMD-WTmethod has better noise reduction performance,and can effectively extract the characteristics of strain signals,which lays a solid foundation for accurate analysis of wind turbine blade strain signals under crosswind conditions.

基于主成分分析法的家电行业上市公司资产质量分析

论文基于主成分分析法对家电行业上市公司进行研究,根据资产质量存在性、有效性、收益性和安全性四个方面的特征,选取15个财务指标,探究家电行业上市公司资产质量的主要影响因素。研究发现企业的偿债能力、资金利用效率和盈利能力是影响家电行业上市公司资产质量的主要因素,其中偿债能力是关键因素。家电企业应该树立以资产质量为中心的经营理念,提高资金利用效率,增强企业的盈利能力,优化资产结构,提高应收账款回收率,以此提高企业的资产质量。

EPAS1 prevents telomeric damage-induced senescence by enhancing transcription of TRF1,TRF2,and RAD50

Telomeres are nucleoprotein structures located at the end of each chromosome,which function in terminal protection and genomic stability.Telomeric damage is closely related to replicative senescence in vitro and physical aging in vivo.As relatively long-lived mammals based on body size,bats display unique telomeric patterns,including the upregulation of genes involved in alternative lengthening of telomeres(ALT),DNA repair,and DNA replication.At present,however,the relevant molecular mechanisms remain unclear.In this study,we performed cross-species comparison and identified EPAS1,a well-defined oxygen response gene,as a key telomeric protector in bat fibroblasts.Bat fibroblasts showed high expression of EPAS1,which enhanced the transcription of shelterin components TRF1 and TRF2,as well as DNA repair factor RAD50,conferring bat fibroblasts with resistance to senescence during long-term consecutive expansion.Based on a human single-cell transcriptome atlas,we found that EPAS1 was predominantly expressed in the human pulmonary endothelial cell subpopulation.Using in vitro-cultured human pulmonary endothelial cells,we confirmed the functional and mechanistic conservation of EPAS1 in telomeric protection between bats and humans.In addition,the EPAS1 agonist M1001 was shown to be a protective compound against bleomycin-induced pulmonary telomeric damage and senescence.In conclusion,we identified a potential mechanism for regulating telomere stability in human pulmonary diseases associated with aging,drawing insights from the longevity of bats.