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Telomeres: The Promise of New Cancer Therapies

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American Journal of Molecular Biology 2025年第1期15卷 88-96页

作者： Ruixian hou Jonathan J. Darrow Jericho High School Jericho NY USA Baylor College of Medicine Temple TX USA

Telomeres have been a subject of genetic research since the 1930s. They play a crucial role in cancer biology, as they influence both cellular senescence and genomic stability. In cancer cells, dysfunctional telomeres can lead to chromosomal fusions and, through deregulation of telomerase, allow replication of mutated chromosomes that might otherwise lead to apoptosis. Research is now focused on improving telomere-based cancer cell detection and developing potential therapies that inhibit telomerase activity in cancerous cells. Telomere research is crucial in understanding the molecular mechanisms influencing tumor growth and invasiveness because of the central role played by telomeres in various cancer types. Several telomerase inhibitors and immunotherapy treatments are in pre-clinical or clinical development. Research on the role of telomeres in oncogenesis has made significant strides, but obstacles remain, including a lack of high-resolution structural understanding, inadequate preclinical models, and concern over potential side effects. Even so, the current path of telomere research holds promise.

关键词： Telomere Telomerase Inhibition Cancer Detection Cancer Treatment Immunotherapy

Restricted Gr?bner Basis Theory for Normalization of Indexed Differential Riemann Metric Tensor Polynomials

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Journal of Systems Science & Complexity 2025年

作者： LIU Jiang WANG Tao hou Pingjing NI Feng ZHU Kun ZHANG Leyi Business School University of Shanghai for Science and Technology

Riemman metric tensor(Rmt) plays a significant role in deducing basic formulas and equations arising in differential geometry and(pseudo-) Riemannian manifolds. It is a fundamental and challenging problem to determine the equivalence of indexed differential Rmt polynomials. This paper solves the problem by extending Gr¨obner basis theory and the previous work on the computational theory for indexed differentials. L-expansion of an indexed differential Rmt polynomial is *** a decomposed form of the Gr¨obner basis of defining syzygies of the polynomial ring is presented,based on a partition of elementary indexed monomials. Meanwhile, the upper bound of the dummy index numbers of sim-monomials of the elements in each disjoint elementary indexed monomial subset is found. Finally, a DST-fundamental restricted ring is constructed, and the canonical form of a polynomial is confirmed to be the normal form with respect to the Gr¨obner basis in the DST-fundamental restricted ring.

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High-resolution Geochemistry in the Lucaogou Formation,Junggar Basin:An Assessment of Heterogeneous Shale Resources

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Acta Geologica Sinica(English Edition) 2025年第1期99卷 177-193页

作者： SUN Shijie ZHANG Bin WANG Xiaomei TIAN Hua ZHANG Shuichang hou Guiting School of Earth and Space Sciences Peking UniversityBeijing 100871China Research Institute of Petroleum Exploration and Development PetroChinaBeijing 100083China

Controlled by fluctuating paleoclimates and sedimentary environments,the organic and inorganic features of the Lucaogou Formation exhibit strong heterogeneity in the vertical profile,challenging conventional geological *** elucidate the possible influence of heterogeneity on resource evaluation,a high-resolution sampling approach was applied to an 86.2 cm long core from the Lucaogou Formation of the Jimsar sag in the Junggar Basin.86 sets of samples were micro-drilled from the core and subjected to comparative Rock-Eval *** the classical guidelines,the organic abundance,kerogen type,and maturity of source rocks were exhaustively *** results revealed that organic richness and composition vary significantly under different sedimentary backgrounds,which in turn leads to differential hydrocarbon *** combination of hydrocarbon generation,transport,and expulsion results in peculiar patterns for hydrocarbon accumulation in the Lucaogou *** shales in the Lucaogou Formation serve as both hydrocarbon source rocks and reservoirs,with laminae being migration ***-rich dolomites in the Lucaogou Formation have a considerable hydrocarbon-generating capacity and present the characteristics of self-generation and ***,massive mudstones act purely as hydrocarbon source rocks.

关键词： unconventional resource heterogeneity Rock-Eval pyrolysis Lucaogou Formation Junggar Basin

Regulating reversibility of Li-SOCl_(2)batteries by elucidating intrinsic charging conversion strategy

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Science Bulletin 2025年第2期70卷 140-143页

作者： Guodong Chen Xin Liu Haoqi hou Xiangyu Gao Lei Hu Shanmu Dong Guanglei Cui Qingdao Industrial Energy Storage Research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101China Shandong Energy Institute Qingdao 266101China Qingdao New Energy Shandong Laboratory Qingdao 266101China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

Electric vehicles and portable devices have increased their demand for energy storage,resulting in the development of new high energy density batteries,including solid-state lithium-metal batteries,lithium-oxygen(Li-O_(2))batteries and lithium-sulfur(Li-S)batteries,which utilize high-capacity materials and will significantly break through the dilemma faced by the commercially available lithium-ion batteries[1–3].

关键词： lithium utilize batteries

Enhancing forecasting of current-carrying performance through spatial frequency analysis of interface morphology

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Science China Technological Sciences 2025年第2期 171-181页

作者： Nian YIN Zishuai wu Zhangli hou Yiwei ZHANG Zhinan ZHANG State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University School of Mechanical Engineering Shanghai Jiao Tong University

Electrical contact interfaces, integral to devices such as connectors, switches, and conductive slip rings, play a crucial role in determining current-carrying capabilities. This study adopts spatial frequency analysis to assess the currentcarrying performance of interfaces based on their morphological characteristics. Initially, rough surfaces with various parameters, including the cutoff frequency(N), the spectral index(β), and the gain factor(A), were generated using spatial frequency methods, followed by current-carrying simulations. The findings reveal that the characteristic parameters derived from spatial frequency methods exhibit a significantly stronger correlation with current-carrying performance than traditional roughness metrics. To enhance the practical applicability of this research, a physical-informed machine learning approach for rough surface features extraction was developed, demonstrating high predictive parameter identification accuracy for the three parameters. Overall, this paper introduces a tribo-informatics approach for analyzing and extracting rough surface features that considers the curvature characteristics of contact points. This approach holds significant potential for evaluating the processing state of current-carrying interfaces, selecting high-quality surfaces, and forecasting current-carrying performances.

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Atomically dispersed dual-metal-site PGM-free electrocatalysts for oxygen reduction reaction:Opportunities and challenges

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SusMat 2022年第5期2卷 569-590页

作者： Xiaoxuan Yang Cameron Priest Yang hou gang wu College of Chemical and Biological Engineering Zhejiang UniversityHangzhouChina Department of Chemical and Biological Engineering University at BuffaloThe State University of New YorkBuffaloNew YorkUSA Institute of Zhejiang University-Quzhou QuzhouChina School of Biological and Chemical Engineering NingboTech UniversityNingboChina

Atomically dispersed and nitrogen coordinated single metal site(MNx,M=Fe,Co,or Mn)moieties embedded in partially graphitized carbon(denoted as M–N–C)are recognized as the most promising platinum group metal-free catalysts for the oxygen reduction reaction(ORR)in proton exchange membrane fuel ***,simply regulating their coordination environments and local structures of single metal sites cannot fundamentally change active site structure,which leads to insufficient activity and stability.A second transition metal can be incorporated to design dual-metal sites,offering a new opportunity to modulate the electronic and geometric structures of M–N–C ***,exploring optimal atomically dispersed dual-metal-site is essential to designing new active sites with enhanced ORR activity,and stability,especially breaking the activity-stability *** review provides a comprehensive analysis of the advances in developing atomically dispersed dual-metal site catalysts for the ORR,including innovative synthesis methods,primary structural configurations,and the mechanisms to promote catalytic *** aim to elucidate the crucial structure–property correlation,emphasizing the inherent electronic and geometric effects of dual metal ***,we discuss the current challenges of dual-metal site catalysts concerning rational design,precise synthesis,and high-fidelity structural characterization.

关键词： dual metal sites electrocatalysis fuel cells oxygen reduction PGM-free catalyst

Influencing factor of sinter body strength and its effects on iron ore sintering indexes

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International Journal of Minerals,Metallurgy and Materials 2015年第6期22卷 553-561页

作者： Guo-liang Zhang Sheng-li wu Bo Su Zhi-gang Que Chao-gang hou Yao Jiang School of Metallurgical and Ecological Engineering University of Science and Technology Beijing

Sinter body strength, which reflects the strength of sinter, plays an important role in the improvement of sinter. In this study, the sinter body strengths of iron ores were measured using a microsintering method. The relationship between the chemical composition and sinter body strength was discussed. Moreover, sinter-pot tests were performed. The effects of sinter body strength on the sintering indexes were then elucidated, and the bottom limit of sinter body strength of blending ores was confirmed. In the results, the compressive strengths（CSs） of iron ores are observed to decrease with the increasing of the contents of loss on ignition（LOI）, SiO 2, and Al2O3; however, LOI of less than 3wt% does not substantially influence the CSs of fine ores. In the case of similar mineral composition, the porosity, in particular, the ratio between the number of large pores and the total number of pores, strongly influences the sinter body strength. With an increase of the blending-ore CSs used in sinter-pot tests, the yield, productivity, and tumbler strength increase, and the solid fuel consumption decreases. The CSs of the blending ores only slightly affect the sintering time. The CS bottom limit of the blending ores is 310 N. When the CSs of the blending ores increase by 10%, the yield, productivity, and tumbler index increase by 1.9%, 2.8%, and 2.0%, respectively, and the solid fuel consumption decreases by 1.9%.

关键词： iron ore sinter compressive strength influencing factors sintering

基于三层加权堆叠模型的电动汽车剩余里程预测

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汽车工程 2025年第1期47卷 107-116页

作者：石琴侯伟路张晓楠吴为教贺泽佳合肥工业大学汽车与交通工程学院合肥230009 合肥工业大学自动驾驶车辆安全技术安徽省重点实验室合肥230009 安徽省智慧交通车路协同工程研究中心合肥230009

为实现电动汽车剩余里程准确预测,本文提出一种基于三层加权堆叠模型的电动汽车剩余里程预测方法。结合最大信息系数和斯皮尔曼系数作为变量评价准则,使用最小冗余最大相关算法从候选特征集中优化得到输入特征集。构建考虑原始训练特征... 详细信息

为实现电动汽车剩余里程准确预测,本文提出一种基于三层加权堆叠模型的电动汽车剩余里程预测方法。结合最大信息系数和斯皮尔曼系数作为变量评价准则,使用最小冗余最大相关算法从候选特征集中优化得到输入特征集。构建考虑原始训练特征的三层堆叠模型,并利用贝叶斯优化算法得到堆叠模型中基模型权重。最后,使用输入特征集对三层加权堆叠模型训练并实现电动汽车剩余里程预测,结果表明所述三层加权堆叠模型的预测精度较高。此外,与其他模型相比,所述堆叠三层加权模型的泛化能力更强。

关键词：电动汽车 mRMR算法 Stacking模型剩余里程

The Acoustic Attenuation Prediction for Seafloor Sediment Based on in-situ Data and Machine Learning Methods

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Journal of Ocean University of China 2025年第1期24卷 95-102页

作者： WANG Jingqiang hou Zhengyu CHEN Yinglin LI Guanbao KAN Guangming XIAO Peng LI Zhenglin MO Dinghao HUANG Jingyi Key Laboratory of Marine Geology and Metallogeny First Institute of OceanographyMNRQingdao 266061China School of Ocean Engineering and Technology Sun Yat-Sen UniversityZhuhai 519000China Laboratory for Marine Geology Laoshan LaboratoryQingdao 266237China

Accurate acquisition and prediction of acoustic parameters of seabed sediments are crucial in marine sound propagation *** the relationship between sound velocity and physical properties of sediment has been extensively studied,there is still no consensus on the correlation between acoustic attenuation coefficient and sediment physical *** the acoustic attenuation coefficient remains a challenging issue in sedimentary acoustic *** this study,we propose a prediction method for the acoustic attenuation coefficient using machine learning algorithms,specifically the random forest(RF),support vector machine(SVR),and convolutional neural network(CNN)*** utilized the acoustic attenuation coefficient and sediment particle size data from 52 stations as training parameters,with the particle size parameters as the input feature matrix,and measured acoustic attenuation as the training label to validate the attenuation prediction *** results indicate that the error of the attenuation prediction model is *** the three models,the RF model exhibited the lowest prediction error,with a mean squared error of 0.8232,mean absolute error of 0.6613,and root mean squared error of ***,when we applied the models to predict the data collected at different times in the same region,we found that the models developed in this study also demonstrated a certain level of reliability in real prediction *** approach demonstrates that constructing a sediment acoustic characteristics model based on machine learning is feasible to a certain extent and offers a novel perspective for studying sediment acoustic properties.

关键词： in-situ measurement attenuation seafloor sediment machine learning methods