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Weight gain after 35 years of age is associated with increased breast cancer risk: findings from a large prospective cohort study

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Cancer Biology & Medicine 2024年第8期21卷 651-655页

作者： Katherine de la Torre Woo-Kyoung Shin Hwi-Won Lee Dan Huang Sukhong min Aesun Shin Wonshik Han Daehee Kang department of Preventive Medicine Seoul National University College of MedicineSeoul 03080Republic of Korea department of Biomedical Sciences Seoul National University Graduate SchoolSeoul 03080Republic of Korea Division of Food and Pharmaceutical Technology Mokwon UniversityDaejeon 35349Republic of Korea Integrated Major in Innovative Medical Science Seoul National University Graduate SchoolSeoul 03080Republic of Korea Cancer Research Institute Seoul National UniversitySeoul 03080Republic of Korea department of Surgery Seoul National University College of MedicineSeoul 03080Republic of Korea Biomedical Research Institute Seoul National University HospitalSeoul 03080Republicof Korea

Adiposity affects lifetime estrogen exposure,which is a key factor in breast ***,adiposity effects,often assessed as the body mass index(BMI),on pre-and post-menopausal breast cancer risk are *** weight gain may reflect body fat mass accumulation during adulthood better than the BMI,potentially representing age-related metabolic changes.

关键词： breast cancer assessed

An Approximation Algorithm Based on Seeding Algorithm for Fuzzy k-Means Problem with Penalties

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Journal of the Operations Research Society of China 2024年第2期12卷 387-409页

作者： Wen-Zhao Liu min Li School of Mathematics and Statistics Shandong Normal UniversityJinan 250014ShandongChina

As a classic NP-hard problem in machine learning and computational geometry,the k-means problem aims to partition the given dataset into k clusters according to the minimal squared Euclidean *** from k-means problem and most of its variants,fuzzy k-means problem belongs to the soft clustering problem,where each given data point has relationship to every center *** to fuzzy k-means problem,fuzzy k-means problem with penalties allows that some data points need not be clustered instead of being paid *** this paper,we propose an O(αk In k)-approximation algorithm based on seeding algorithm for fuzzy k-means problem with penalties,whereαinvolves the ratio of the maximal penalty value to the minimal ***,we implement numerical experiments to show the effectiveness of our algorithm.

关键词： Approximation algorithm Seeding algorithm Fuzzy k-means problem with penalties

Weighted Forwarding in Graph Convolution Networks for Recommendation Information Systems

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Computers, Materials & Continua 2024年第2期78卷 1897-1914页

作者： Sang-min Lee Namgi Kim department of Computer Science Kyonggi UniversitySuwonKorea

Recommendation Information Systems(RIS)are pivotal in helping users in swiftly locating desired content from the vast amount of information available on the *** Convolution Network(GCN)algorithms have been employed to implement the RIS ***,the GCN algorithm faces limitations in terms of performance enhancement owing to the due to the embedding value-vanishing problem that occurs during the learning *** address this issue,we propose a Weighted Forwarding method using the GCN(WF-GCN)*** proposed method involves multiplying the embedding results with different weights for each hop layer during graph *** applying the WF-GCN algorithm,which adjusts weights for each hop layer before forwarding to the next,nodes with many neighbors achieve higher embedding *** approach facilitates the learning of more hop layers within the GCN *** efficacy of the WF-GCN was demonstrated through its application to various *** the MovieLens dataset,the implementation of WF-GCN in LightGCN resulted in significant performance improvements,with recall and NDCG increasing by up to+163.64%and+132.04%,***,in the *** dataset,LightGCN using WF-GCN enhanced with WF-GCN showed substantial improvements,with the recall and NDCG metrics rising by up to+174.40%and+169.95%,***,the application of WF-GCN to Self-supervised Graph Learning(SGL)and Simple Graph Contrastive Learning(SimGCL)also demonstrated notable enhancements in both recall and NDCG across these datasets.

关键词： deep learning graph neural network graph convolution network graph convolution network model learning method recommender information systems

Brain-wide activation involved in 15 mA transcranial alternating current stimulation in patients with first-episode major depressive disorder

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General Psychiatry 2024年第2期37卷 265-273页

作者： Jie Wang Wenfeng Zhao Huang Wang Haixia Leng Qing Xue Mao Peng Baoquan min Xiukun jin Liucen Tan Keming Gao Hongxing Wang Songjiang Hospital and Songjiang Research Institute Shanghai Key Laboratory of Emotions and Affective DisordersShanghai Jiao Tong University School of MedicineShanghaiChina Institute of Neuroscience and Brain Diseases Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangHubeiChina Division of Neuropsychiatry and Psychosomatics Department of NeurologyXuanwu Hospital of Capital Medical UniversityBeijingChina Electroconvulsive Therapy University Hospitals Cleveland Medical CenterClevelandOhioUSA department of Psychiatry Case Western Reserve University School of MedicineClevelandOhioUSA Institute of Sleep and Consciousness Disorders Center of EpilepsyBeijing Institute for Brain DisordersCapital Medical UniversityBeijingChina Institute of Special Medical Sciences School of Forensic MedicineShanxi Medical UniversityTaiyuanShanxiChina

Background Although 15 mA transcranial alternating current stimulation(tACS)has a therapeutic effect on depression,the activations of brain structures in humans accounting for this tACS configuration remain largely *** To investigate which intracranial brain structures are engaged in the tACS at 77.5 Hz and 15 mA,delivered via the forehead and the mastoid electrodes in the human *** Actual human head models were built using the magnetic resonance imagings of eight outpatient volunteers with drug-naïve,first-episode major depressive disorder and then used to perform the electric field distributions with SimNIBS *** The electric field distributions of the sagittal,coronal and axial planes showed that the bilateral frontal lobes,bilateral temporal lobes,hippocampus,cingulate,hypothalamus,thalamus,amygdala,cerebellum and brainstem were visibly stimulated by the 15 mA tACS *** Brain-wide activation,including the cortex,subcortical structures,cerebellum and brainstem,is involved in the 15 mA tACS intervention for first-episode major depressive *** results indicate that the simultaneous involvement of multiple brain regions is a possible mechanism for its effectiveness in reducing depressive symptoms.

关键词： stimulation involvement activation

One-pot synthesis of a giant twisted double-layer chiral macrocycle via [4+8] imine condensation and its X-ray structure

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Chinese Chemical Letters 2024年第10期35卷 267-269页

作者： Yu Pang min Wang Ning-Hua Yang min Xue Yong Yang School of Science Department of Physics Key Laboratory of Optical Field Manipulation of Zhejiang Province Zhejiang Sci-Tech University School of Chemistry and Chemical Engineering Key Laboratory of Surface & Interface Science of Polymer Materials of Zhejiang Province Zhejiang Sci-Tech University

Trifluoroacetic acid （TFA） catalyzed condensation reaction between tetraaminooxacalix[4]arene and N-alkylcarbazole-3,6-dicarbaldehyde in CH2Cl2afforded a single product in 87%–89%***-defined yet undissolvable1H NMR spectra suggested formation of robust and discrete structures in solution.X-ray single crystal analysis further revealed a giant twisted double-layer chiral macrocycle in the solid state,which was formed from[4+8]condensation of the two reactants via 16 imine *** calculations discovered that only the[4+8]twisted product is thermodynamically favorable,which accounts for its highly selective and efficient formation out of a library of many other combinations.

关键词： Chiral macrocycle Dynamic covalent chemistry One-pot synthesis Oxacalixarene X-ray single crystal

Physiological and pathological functions of circular RNAs in the nervous system

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Neural Regeneration Research 2024年第2期19卷 342-349页

作者： min Zhou Shi Li Chuan Huang School of Life Sciences Chongqing UniversityChongqingChina

Circular RNAs(circRNAs)are a class of covalently closed single-stranded RNAs that are expressed during the development of specific cells and *** play crucial roles in physiological and pathological processes by sponging microRNAs,modulating gene transcription,controlling the activity of certain RNA-binding proteins,and producing functional peptides.A key focus of research at present is the functionality of circRNAs in the nervous system and several advances have emerged over the last 2 ***,the precise role of circRNAs in the nervous system has yet to be comprehensively *** this review,we first summarize the recently described roles of circRNAs in brain development,maturity,and ***,we focus on the involvement of circRNAs in various diseases of the central nervous system,such as brain cancer,chronic neurodegenerative diseases,acute injuries of the nervous system,and neuropathic pain.A better understanding of the functionality of circRNAs will help us to develop potential diagnostic,prognostic,and therapeutic strategies to treat diseases of the nervous system.

关键词： Alzheimer’s disease amyotrophic lateral sclerosis brain development circRNAs neuropathic pain Parkinson’s disease

Multi-instance partial-label learning: towards exploiting dual inexact supervision

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Science China(Information Sciences) 2024年第3期67卷 48-61页

作者： Wei TANG Weijia ZHANG min-Ling ZHANG School of Computer Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education School of Information and Physical Sciences The University of Newcastle

Weakly supervised machine learning algorithms are able to learn from ambiguous samples or labels, e.g., multi-instance learning or partial-label learning. However, in some real-world tasks, each training sample is associated with not only multiple instances but also a candidate label set that contains one groundtruth label and some false positive labels. Specifically, at least one instance pertains to the ground-truth label while no instance belongs to the false positive labels. In this paper, we formalize such problems as multi-instance partial-label learning(MIPL). Existing multi-instance learning algorithms and partial-label learning algorithms are suboptimal for solving MIPL problems since the former fails to disambiguate a candidate label set, and the latter cannot handle a multi-instance bag. To address these issues, a tailored algorithm named MIPLGP, i.e., multi-instance partial-label learning with Gaussian processes, is *** first assigns each instance with a candidate label set in an augmented label space, then transforms the candidate label set into a logarithmic space to yield the disambiguated and continuous labels via an exclusive disambiguation strategy, and last induces a model based on the Gaussian processes. Experimental results on various datasets validate that MIPLGP is superior to well-established multi-instance learning and partial-label learning algorithms for solving MIPL problems.

关键词： machine learning multi-instance partial-label learning multi-instance learning partial-label learning Gaussian processes

Normalized Solution for p-Kirchhoff Equation with a L2-supercritical Growth

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Acta Mathematicae Applicatae Sinica 2024年第2期40卷 414-429页

作者： Zhi-min REN Yong-yi LAN School of Sciences Jimei UniversityXiamen 361005China

In this paper,we investigate the following p-Kirchhoff equation{∫R^(N)|u|^(2)dx=ρ,(a+b)∫RN(|Δu}^(p)+|u|^(p))dx)(-Δpu+|u|^(p-2u)=|u|^(s-2)u+μu,x∈R^(N),where a>0,b≥0,p>0 are constants,constants,p*=N-P/Np is the critical Sobolev exponent,μis a Lagrange multiplier,-Δpu=-div(|Δu|_(p-2)u),2demonstratethat he p-Kirchhoff equation has a normalized solution using the mountain pass lemma and some analysis techniques.

关键词： p-Kirchhoff equation normalized solution mountain-pass lemma

High patatin like phospholipase domain containing 8 expression as a biomarker for poor prognosis of colorectal cancer

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 787-797页

作者： Peng-Yang Zhou de-Xiang Zhu Yi-Jiao Chen Qing-Yang Feng Yi-Hao Mao Ao-Bo Zhuang Jian-min Xu department of General Surgery Zhongshan Hospital Fudan UniversityShanghai 200032China

BACKGROUND Patatin like phospholipase domain containing 8(PNPLA8)has been shown to play a significant role in various cancer *** studies have focused on its roles as an antioxidant and in lipid ***,the role of PNPLA8 in colorectal cancer(CRC)progression is *** To explore the prognostic effects of PNPLA8 expression in *** A retrospective cohort containing 751 consecutive CRC patients was ***8 expression in tumor samples was evaluated by immunohistochemistry staining and semi-quantitated with immunoreactive *** patients were divided into high and low PNPLA8 expression groups based on the cut-off va-lues,which were calculated by X-tile *** prognostic value of PNPLA8 was identified using univariate and multivariate Cox regression *** over-all survival(OS)rates of CRC patients in the study cohort were compared with Kaplan-Meier analysis and Log-rank *** PNPLA8 expression was significantly associated with distant metastases in our cohort(P=0.048).CRC patients with high PNPLA8 expression indicated poor OS(median OS=35.3,P=0.005).CRC patients with a higher PNPLA8 expression at either stage I and II or stage III and IV had statistically significant shorter *** patients with left-sided colon and rectal cancer,the survival curves of two PN-PLA8-expression groups showed statistically significant *** analysis also confirmed that high PNPLA8 expression was an independent prog-nostic factor for overall survival(hazard ratio HR=1.328,95%CI:1.016-1.734,P=0.038).

关键词： Biomarker Colorectal cancer Expression level Overall survival Patatin like phospholipase domain containing 8 Prognosis