As a typical industrial Internet of things(IIOT)service,demand response(DR)is becoming a promising enabler for intelligent energy management in 6 G-enabled smart grid systems,to achieve quick response for supply-deman...As a typical industrial Internet of things(IIOT)service,demand response(DR)is becoming a promising enabler for intelligent energy management in 6 G-enabled smart grid systems,to achieve quick response for supply-demand mismatches.How-ever,existing literatures try to adjust customers’load profiles optimally,instead of electricity overhead,energy consumption patterns of residential appliances,customer satisfaction levels,and energy consumption habits.In this paper,a novel DR method is investigated by mixing the aforementioned factors,where the residential customer cluster is proposed to enhance the performance.Clustering approaches are leveraged to study the electricity consumption habits of various customers by extracting their features and characteristics from historical data.Based on the extracted information,the residential appliances can be scheduled effectively and flexibly.Moreover,we propose and study an efficient optimization framework to obtain the optimal scheduling solution by using clustering and deep learning methods.Extensive simulation experiments are conducted with real-world traces.Numerical results show that the proposed DR method and optimization framework outperform other baseline schemes in terms of the system overhead and peak-to-average ratio(PAR).The impact of various factors on the system utility is further analyzed,which provides useful insights on improving the efficiency of the DR strategy.With the achievement of efficient and intelligent energy management,the proposed method also promotes the realization of China’s carbon peaking and carbon neutrality goals.展开更多
目的:低风险微小乳头状甲状腺癌(papillary thyroid carcinoma,PTC)的检出增加与过度诊断和治疗有关。N^(6)-甲基腺苷(N^(6)-methyladenosine,m^(6)A)修饰导致的微RNA(microRNAs,miRNA)失调在肿瘤转移和进展中发挥重要作用。然而,m^(6)...目的:低风险微小乳头状甲状腺癌(papillary thyroid carcinoma,PTC)的检出增加与过度诊断和治疗有关。N^(6)-甲基腺苷(N^(6)-methyladenosine,m^(6)A)修饰导致的微RNA(microRNAs,miRNA)失调在肿瘤转移和进展中发挥重要作用。然而,m^(6)A靶向miRNAs在PTC中的功能仍不清楚。本研究旨在探究m^(6)A-miR-139-5p在PTC中的表达调控机制,明确其与PTC转移的关联,并评估其作为PTC转移诊断生物标志物的潜力,为PTC的精准诊断和治疗提供实验依据。方法:通过癌症基因组图谱(The Cancer Genome Atlas,TCGA)和GSE130512队列筛选与PTC转移相关的候选靶向m^(6)A-miRNA分子。收集13例PTC转移患者和18例非转移患者的临床标本,检测m^(6)A-miR-139-5p的表达水平,分析其与转移的相关性。通过实验探究脂肪质量和肥胖相关蛋白(fat mass and obesity-associated protein,FTO)对pri-miR-139甲基化水平及加工过程的影响,明确其对miR-139-5p表达的调控作用。在TPC-1细胞中,通过四甲基偶氮唑盐(methyl thiazolyl tetrazolium,MTT)实验检测miR-139-5p过表达对FTO过表达介导的细胞增殖的影响。通过细胞侵袭实验验证miR-139-5p对PTC细胞侵袭能力的作用,并探究其是否通过靶向ZEB1/E-钙黏蛋白轴发挥功能。结果:通过比较TCGA和GSE130512队列,发现血清循环m^(6)A-miR-139-5p可作为检测PTC转移的生物指标。对13例转移和18例非转移临床标本的检测表明,FTO通过降低其甲基化水平抑制pri-miR-139的加工,导致miR-139-5p在PTC中表达失调(P<0.05)。在TPC-1细胞中,MTT实验显示miR-139-5p过表达可部分逆转FTO过表达介导的细胞增殖(P<0.05)。此外,miR-139-5p通过靶向ZEB1/E-钙黏蛋白轴抑制PTC细胞的侵袭能力,而FTO过表达可部分削弱这种抑制效应。结论:血清循环miR-139-5p可作为评估PTC转移的潜在标志物,FTO通过调控pri-miR-139的m^(6)A修饰影响miR-139-5的表达及功能,但其临床价值需进一步验证。展开更多
基金supported by the National Natural Science Foundation of China(62171218)。
文摘As a typical industrial Internet of things(IIOT)service,demand response(DR)is becoming a promising enabler for intelligent energy management in 6 G-enabled smart grid systems,to achieve quick response for supply-demand mismatches.How-ever,existing literatures try to adjust customers’load profiles optimally,instead of electricity overhead,energy consumption patterns of residential appliances,customer satisfaction levels,and energy consumption habits.In this paper,a novel DR method is investigated by mixing the aforementioned factors,where the residential customer cluster is proposed to enhance the performance.Clustering approaches are leveraged to study the electricity consumption habits of various customers by extracting their features and characteristics from historical data.Based on the extracted information,the residential appliances can be scheduled effectively and flexibly.Moreover,we propose and study an efficient optimization framework to obtain the optimal scheduling solution by using clustering and deep learning methods.Extensive simulation experiments are conducted with real-world traces.Numerical results show that the proposed DR method and optimization framework outperform other baseline schemes in terms of the system overhead and peak-to-average ratio(PAR).The impact of various factors on the system utility is further analyzed,which provides useful insights on improving the efficiency of the DR strategy.With the achievement of efficient and intelligent energy management,the proposed method also promotes the realization of China’s carbon peaking and carbon neutrality goals.
文摘目的:低风险微小乳头状甲状腺癌(papillary thyroid carcinoma,PTC)的检出增加与过度诊断和治疗有关。N^(6)-甲基腺苷(N^(6)-methyladenosine,m^(6)A)修饰导致的微RNA(microRNAs,miRNA)失调在肿瘤转移和进展中发挥重要作用。然而,m^(6)A靶向miRNAs在PTC中的功能仍不清楚。本研究旨在探究m^(6)A-miR-139-5p在PTC中的表达调控机制,明确其与PTC转移的关联,并评估其作为PTC转移诊断生物标志物的潜力,为PTC的精准诊断和治疗提供实验依据。方法:通过癌症基因组图谱(The Cancer Genome Atlas,TCGA)和GSE130512队列筛选与PTC转移相关的候选靶向m^(6)A-miRNA分子。收集13例PTC转移患者和18例非转移患者的临床标本,检测m^(6)A-miR-139-5p的表达水平,分析其与转移的相关性。通过实验探究脂肪质量和肥胖相关蛋白(fat mass and obesity-associated protein,FTO)对pri-miR-139甲基化水平及加工过程的影响,明确其对miR-139-5p表达的调控作用。在TPC-1细胞中,通过四甲基偶氮唑盐(methyl thiazolyl tetrazolium,MTT)实验检测miR-139-5p过表达对FTO过表达介导的细胞增殖的影响。通过细胞侵袭实验验证miR-139-5p对PTC细胞侵袭能力的作用,并探究其是否通过靶向ZEB1/E-钙黏蛋白轴发挥功能。结果:通过比较TCGA和GSE130512队列,发现血清循环m^(6)A-miR-139-5p可作为检测PTC转移的生物指标。对13例转移和18例非转移临床标本的检测表明,FTO通过降低其甲基化水平抑制pri-miR-139的加工,导致miR-139-5p在PTC中表达失调(P<0.05)。在TPC-1细胞中,MTT实验显示miR-139-5p过表达可部分逆转FTO过表达介导的细胞增殖(P<0.05)。此外,miR-139-5p通过靶向ZEB1/E-钙黏蛋白轴抑制PTC细胞的侵袭能力,而FTO过表达可部分削弱这种抑制效应。结论:血清循环miR-139-5p可作为评估PTC转移的潜在标志物,FTO通过调控pri-miR-139的m^(6)A修饰影响miR-139-5的表达及功能,但其临床价值需进一步验证。
