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Enhancing rectal cancer liver metastasis prediction:Magnetic resonance imaging-based radiomics,bias mitigation,and regulatory considerations

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World Journal of Gastrointestinal Oncology 2025年第2期17卷 318-321页

作者： Yuwei Zhang Department of digital Health Northern Medical CenterMiddletownNY 10940United States

In this article,we comment on the article by Long et al published in the recent issue of the World Journal of Gastrointestinal *** cancer patients are at risk for developing metachronous liver metastasis(MLM),yet early prediction remains challenging due to variations in tumor heterogeneity and the limitations of traditional diagnostic ***,there is an urgent need for noninvasive techniques to improve patient *** et al’s study introduces an innovative magnetic resonance imaging(MRI)-based radiomics model that integrates high-throughput imaging data with clinical variables to predict *** study employed a 7:3 split to generate training and validation *** MLM prediction model was constructed using the training set and subsequently validated on the validation set using area under the curve(AUC)and dollar-cost averaging metrics to assess performance,robustness,and *** employing advanced algorithms,the model provides a non-invasive solution to assess tumor heterogeneity for better metastasis prediction,enabling early intervention and personalized treatment ***,variations in MRI parameters,such as differences in scanning resolutions and protocols across facilities,patient heterogeneity(e.g.,age,comorbidities),and external factors like carcinoembryonic antigen levels introduce ***,confounding factors such as diagnostic staging methods and patient comorbidities require further validation and adjustment to ensure accuracy and *** evolving Food and Drug Administration regulations on machine learning models in healthcare,compliance and careful consideration of these regulatory requirements are essential to ensuring safe and effective implementation of this approach in clinical *** the future,clinicians may be able to utilize datadriven,patient-centric artificial intelligence(AI)-enhanced imaging tools integrated with clinical data,which would help improve early

关键词： Metachronous liver metastasis Radiomics Machine learning Rectal cancer Magnetic resonance imaging variability Bias mitigation Food and Drug Administration regulations Predictive modeling

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Fractal autoencoder with redundancy regularization for unsupervised feature selection

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Science China(Information Sciences) 2025年第2期68卷 89-102页

作者： Meiting SUN Fangyu LI Honggui HAN School of Information Science and Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research center of digital Community Ministry of Education Beijing Institute of Artificial Intelligence

Feature selection is a crucial step in data preprocessing because feature selection reduces the dimensionality of data by eliminating irrelevant and redundant features. Since manual labeling is expensive, unsupervised feature selection has received increasing attention in recent years. However, existing unsupervised feature selection methods tend to prioritize selecting highly correlated features over exploring feature diversity. Thus, a regularized fractal autoencoder(RFAE) method is proposed to select informative features in an unsupervised way. Specifically, the fractal autoencoder network extends autoencoders to construct a correspondence neural network and a selection neural network. The correspondence neural network exploits interfeature correlations and the selection neural network selects the informative features. A redundancy regularization strategy consists of a redundancy elimination regularization term based on the dependency between features and a sparse regularization term based on the group lasso. The redundancy regularization strategy eliminates feature subset redundancy and enhances network generalization ability. Extensive experimental results on six publicly available datasets show that the proposed RFAE outperforms the compared methods regarding clustering accuracy and classification accuracy. Moreover, the proposed RFAE achieves acceptable computation efficiency.

关键词： unsupervised feature selection fractal autoencoder correspondence neural network selection neural network redundancy regularization strategy

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The composition of magmatic-hydrothermal fluids and their related metal mineralization

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Science China Earth Sciences 2025年第1期68卷 208-225页

作者： Qihai SHU Jun DENG State Key Laboratory of Geological Processes and Mineral Resources School of Earth Sciences and ResourcesChina University of GeosciencesBeijing100083China Frontiers Science center for Deep-time digital Earth China University of GeosciencesBeijing100083China

Magmatic hydrothermal deposits are important sources of many bulk,precious,and rare metals,and have attracted interest from both academic and industrial ***,it is still unclear if the major enrichment of the ore-forming metals occurs in the parental magma source region,during the magma evolution,or after the fluid *** inclusions trapped in hydrothermal minerals crystallized in the early,high-temperature stage before metal precipitation record information close to that of the initially exsolved magmatic fluids,which are helpful in revealing whether the metals have been already significantly enriched prior to the hydrothermal *** this study,available compositional data of such early-stage fluid inclusions from magmatic hydrothermal systems globally have been *** results indicate that the concentrations of Cu,Sn,and W respectively from the Cu-,Sn-,and W-mineralized fluids are significantly higher than the hydrothermal systems that do not produce ores with the corresponding *** suggests that Cu,Sn,and W could have already been enriched in the magma source and/or magma evolution *** Mo concentrations show no difference between Mo-mineralized and Mobarren fluid systems,indicating no significant pre-enrichment in the source region or during the magma *** also implies that an efficient collection of Mo from a large volume of magmas is required to account for the formation of a large Mo *** all the hydrothermal fluids contain high concentrations of Fe and Zn-Pb,but only a few of them eventually form Fe or Zn-Pb deposits,reflecting an important role of the hydrothermal evolution process on the selective metal *** above results indicate that different metals are enriched in different stages of a magmatic hydrothermal system,and that the major roles played in the formation of a deposit vary with the metal *** addition to the metal concentrations in the orerelated magmas and fluids

关键词： Magmatic hydrothermal deposits Fluid inclusions LA-ICP-MS Metal enrichment Mineralization mechanism

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Advances in origin of high oxidation state of magmas associated with porphyry Cu-(Mo-Au) deposits

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Science China Earth Sciences 2025年第3期68卷 953-956页

作者： Rui WANG Jingbo ZHANG State Key Laboratory of Geological Processes and Mineral Resources Frontiers Science Center for Deep-time Digital Earth Institute of Earth Sciences China University of Geosciences School of Earth Sciences and Resources China University of Geosciences

1. Introduction Porphyry Cu-(Mo-Au) deposits, hereafter termed as porphyry Cu deposits, are typical magmatic-hydrothermal systems spatially and genetically associated with shallow,intermediate to felsic porphyritic intrusions. These deposits exhibit well-developed alteration zoning and are characterized by veinlet-disseminated mineralization.

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Inhibitory gamma-aminobutyric acidergic neurons in the anterior cingulate cortex participate in the comorbidity of pain and emotion

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Neural Regeneration Research 2025年第10期20卷 2838-2854页

作者： Lu Guan Mengting Qiu Na Li Zhengxiang Zhou Ru Ye Liyan Zhong Yashuang Xu Junhui Ren Yi Liang Xiaomei Shao Jianqiao Fang Junfan Fang Junying Du Department of Neurobiology and Acupuncture Research Third School of Clinical MedicineZhejiang Chinese Medical UniversityHangzhouZhejiang ProvinceChina Key Laboratory for Research of Acupuncture Treatment and transformation of Emotional Diseases Third School of Clinical MedicineZhejiang Chinese Medical UniversityHangzhouZhejiang ProvinceChina Fuchun Community Health Service center of Fuyang District HangzhouZhejiang ProvinceChina

Pain is often comorbid with emotional disorders such as anxiety and *** of the anterior cingulate cortex has been implicated in pain and pain-related negative emotions that arise from impairments in inhibitory gamma-aminobutyric acid *** review primarily aims to outline the main circuitry(including the input and output connectivity)of the anterior cingulate cortex and classification and functions of different gamma-aminobutyric acidergic neurons;it also describes the neurotransmitters/neuromodulators affecting these neurons,their intercommunication with other neurons,and their importance in mental comorbidities associated with chronic pain *** understanding on their role in pain-related mental comorbidities may facilitate the development of more effective treatments for these ***,the mechanisms that regulate gamma-aminobutyric acidergic systems remain *** is also unclear as to whether the mechanisms are presynaptic or *** exploration of the complexities of this system may reveal new pathways for research and drug development.

关键词： anterior cingulate cortex anxiety chronic pain circuit communication comorbidity depression gamma-aminobutyric acidergic neurons parvalbumin neurons synaptic transmission

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A comprehensive layered approach for implementing internet of things-enabled smart grid:A survey

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digital Communications and Networks 2022年第3期8卷 388-410页

作者： Zahra Alavikia Maryam Shabro Electric Power Utility(EPU)digital transformation center Niroo Research Institute(NRI)TehranIran

The current power grid confronts severe challenges in satisfying customers'*** transition to the much more flexible power grid enriched with renewable energies,micro-grid,and distributed energy resources has been considered as a straightforward solution to the customers’high *** smart equipment and renewable energies,electric power generation and storage through the power grid domains will be facilitated,which enables bi-directional energy and information *** power grid with such enhanced features is called Smart Grid(SG).Controlling and managing the diverse sets of variables in the SG requires precise measuring,monitoring,communicating,and analytic systems which increase the complexity of the *** complexity is the main barrier to the realization of the SG up to *** emergence of the Internet of Things(IoT)simplifies monitoring,communications,and data processing among smart things to connect to anything in the *** motivates the SG stakeholders and researchers to proceed with the best way to exploit the IoT technologies in the *** this survey paper,we summarize various efforts in this regard to highlight the advantages of the IoT-enabled SG and its probable *** this end,a comprehensive layered approach has been proposed in this paper to classify various applications of the IoT technologies in the *** IoT opportunities in each architecture layer facilitates the role of each technology and its relationship with other ***,open issues and future measures for the realization of IoT-enabled SG have been discussed in the paper.

关键词： Smart grid(SG) Internet of things(IoT) Layered approach Open issues

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AZD1775 synergizes with SLC7A11 inhibition to promote ferroptosis

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Science China(Life Sciences) 2025年第1期68卷 204-218页

作者： Chen Xiong Hong Ling Yingdan Huang Hanzhi Dong Bangxiang Xie Qian Hao Xiang Zhou Fudan University Shanghai Cancer center and Institutes of Biomedical Sciences Fudan UniversityShanghai 200032China Department of Oncology Shanghai Medical CollegeFudan UniversityShanghai 200032China Department of Breast Surgery Fudan University Shanghai Cancer CenterFudan UniversityShanghai 200032China Department of Oncology First Affiliated Hospital of Nanchang UniversityNanchang 330006China Beijing Institute of Hepatology Beijing Youan HospitalCapital Medical UniversityBeijing 100069China Beijing Engineering Research center for Precision Medicine and transformation of Hepatitis and Liver Cancer Beijing 100069China Key Laboratory of Breast Cancer in Shanghai Fudan University Shanghai Cancer CenterFudan UniversityShanghai 200032China Shanghai Key Laboratory of Medical Epigenetics International Co-laboratory of Medical Epigenetics and Metabolism(Ministry of Science and Technology)Institutes of Biomedical SciencesFudan UniversityShanghai 200032China

Tumor suppressor p53-mediated cell cycle arrest and DNA damage repair may exert cytoprotective effects against cancer therapies,including WEE1 *** that p53 activation can also lead to multiple types of cell death,the role of this tumor suppressor in WEE1 inhibitor-based therapies remains *** this study,we reported that nucleolar stress-mediated p53 activation enhanced the WEE1 inhibitor AZD1775-induced ferroptosis to suppress lung cancer *** findings showed that AZD1775 promoted ferroptosis by blocking cystine uptake,an action similar to that of ***,inhibition of WEE1 by the WEE1 inhibitors or siRNAs induced compensatory upregulation of SLC7A11,which conferred resistance to ***,AZD1775 prevented the enrichment of H3K9me3,a histone marker of transcriptional repression,on the SLC7A11 promoter by repressing the expression of the histone methyltransferase SETDB1,thereby enhancing NRF2-mediated SLC7A11 *** finding was also validated using the H3K9me3 inhibitor ***,we found that the nucleolar stress-inducing agent Actinomycin D(Act.D)inhibited SLC7A11 expression by activating p53,thus augmenting AZD1775-induced ***,the combination of AZD1775 and Act.D synergistically suppressed wild-type p53-harboring lung cancer cell growth both in vitro and in ***,our study demonstrates that AZD1775 promotes ferroptosis by targeting cystine uptake but also mediates the adaptive activation of SLC7A11 through the WEE1-SETDB1 cascade and NRF2-induced transcription,and inhibition of SLC7A11 by Act.D boosts the anti-tumor efficacy of AZD1775 by enhancing ferroptosis in cancers with wild-type p53.

关键词： p53 NRF2 SLC7A11 WEE1 AZD1775 ferroptosis nucleolar stress

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Intervention and treatment of Alzheimer's disease

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Life Research 2025年第1期8卷 44-50页

作者： Dan-Lin Yue-Ran Ma Tian-Yang Jun-Ru Yang Jia-Rui Ma Wen-Rui Wu Si-Qi He Yu-Hong Lü Chang-Wu Yue Key Laboratory of Microbial Drug Innovation and transformation School of MedicineYan’an UniversityYan’an 716000China Shaanxi Engineering Technological Research center for Conversation Utilization of Regional Biological Resources Yan’an UniversityYan’an 716000China

Background:Alzheimer's disease(AD)is a degenerative disease that occurs in the central nervous system and is characterized by progressive cognitive dysfunction and behavioral *** main pathological mechanisms are amyloid-βaccumulation(Aβ)and hyperphosphorylation of tau protein(P-TAU).Objective:however,there are no effective drugs for the treatment of AD,so the intervention and treatment of AD still need further ***:We did a search and summary some of the new potential drugs and other interventions for the treatment of ***:We found relevant anti-Aβ,anti-tau,anti-aging,the Apolipoprotein(APOE)control drugs and intervention in AD through exercise and ***:because most of these drugs are in clinical trials,more effort is needed to develop anti-AD drugs.

关键词： AD aging APOE Aβ Tau drugs intervention

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Large language models:game-changers in the healthcare industry

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Science Bulletin 2025年第3期70卷 283-286页

作者： Bin Dong Li Zhang Jiajia Yuan Yang Chen Quanzheng Li Lin Shen Beijing International center for Mathematical Research Peking UniversityBeijing 100871China center for Machine Learning Research Peking UniversityBeijing 100871China Peking University Changsha Institute for Computing and digital Economy Changsha 410205China center for Data Science Peking UniversityBeijing 100871China Department of Gastrointestinal Oncology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing)Peking University Cancer Hospital and InstituteBeijing 100142China Massachusetts General Hospital Boston 02114-2696USA Harvard Medical School Boston 02115USA

The healthcare industry faces core challenges,including increasingly complex operational processes and entities,the rapid development of medical knowledge,and the rising demand for interdisciplinary *** complexity of medical processes is evident in every aspect,from patient appointments,diagnoses,and treatments to follow-up tasks,all of which involve intricate data processing and decision-making procedures.

关键词： industry expertise evident

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Intergenerational differences and influencing factors of farmers' terrace abandonment behavior:Based on a questionnaire survey of 2382 rural households in China

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Journal of Geographical Sciences 2025年第2期35卷 315-334页

作者： WEN Jiaming LUO Shilong XIE Hualin LI Xiubin School of Applied Economics (School of digital Economics) Jiangxi University of Finance and Economics Technology Innovation center for Land Spatial Ecological Protection and Restoration in Great Lakes Basin Ministry of Natural Resources Institute of Geographic Sciences and Natural Resources Research CAS

This study explores the impact of intergenerational differences on farmers' terrace abandonment in response to increasing intergenerational differentiation among rural households and the practical issue of terrace abandonment. Logit and Tobit models are employed to conduct empirical analysis and it is found that terrace abandonment increases sequentially among the new, middle, and old generations, confirming that intergenerational differences significantly influence whether farmers abandon terraces and the terrace abandonment scale. Village characteristics and government subsidies significantly influence farmers' terrace abandonment. An increase in the number of migrant workers in the village increases terrace abandonment among new and middle generation farmers, whereas an increase in the distance from the village to the county significantly increases terrace abandonment among old generation farmers. An increase in the village's total population significantly reduces terrace abandonment among new generation farmers. An increase in government subsidies significantly reduces terrace abandonment among middle and old generation farmers. The impact of intergenerational differences on terrace abandonment is more pronounced in low-altitude areas. To reduce terrace abandonment, it is necessary to promote terrace transfer, develop characteristic agriculture, improve terrace farming subsidies, and propose targeted strategies for the different generations of farmers.

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