The accurate prediction of energy consumption has effective role in decision making and risk management for individuals and governments.Meanwhile,the accurate prediction can be realized using the recent advances in ma...The accurate prediction of energy consumption has effective role in decision making and risk management for individuals and governments.Meanwhile,the accurate prediction can be realized using the recent advances in machine learning and predictive models.This research proposes a novel approach for energy consumption forecasting based on a new optimization algorithm and a new forecasting model consisting of a set of long short-term memory(LSTM)units.The proposed optimization algorithm is used to optimize the parameters of the LSTM-based model to boost its forecasting accuracy.This optimization algorithm is based on the recently emerged dipper-throated optimization(DTO)and stochastic fractal search(SFS)algo-rithm and is referred to as dynamic DTOSFS.To prove the effectiveness and superiority of the proposed approach,five standard benchmark algorithms,namely,stochastic fractal search(SFS),dipper throated optimization(DTO),whale optimization algorithm(WOA),particle swarm optimization(PSO),and grey wolf optimization(GWO),are used to optimize the parameters of the LSTM-based model,and the results are compared with that of the proposed approach.Experimental results show that the proposed DDTOSFS+LSTM can accurately forecast the energy consumption with root mean square error RMSE of 0.00013,which is the best among the recorded results of the other methods.In addition,statistical experiments are conducted to prove the statistical difference of the proposed model.The results of these tests confirmed the expected outcomes.展开更多
Objective The aim of this study was to investigate the relationship between peripheral plasma stem cell factor (SCF)/c-kit levels and the types of dipper and non-dipper hypertension in hypertensive patients.Methods Th...Objective The aim of this study was to investigate the relationship between peripheral plasma stem cell factor (SCF)/c-kit levels and the types of dipper and non-dipper hypertension in hypertensive patients.Methods This cross-sectional study included newly diagnosed hypertensive patients who underwent 24-hour ambulatory blood pressure monitor (ABPM) between January 2009 and 2012 in Jiangning city. Patients were divided into the dipper group and the non-dipper group according to ABPM measurements. The levels of SCF and its receptor c-kit, tumor necrosis factor-α (TNF-α) and interleukin 6 (IL-6) in peripheral blood were measured via enzyme-linked immunosorbent assays. The serum levels of glucose and lipid were examined as well. The levels of SCF/c-kit were compared between the dippers and the non-dippers; and their correlation with 24-hour mean systolic blood pressure (MSBP), 24-hour mean diastolic blood pressure (MDBP), TNF-αand IL-6 were investigated using linear regression analyses statistically.Results A total of 247 patients with newly diagnosed hypertension were recruited into the study, including 116 non-dippers and 131 dippers. The levels of peripheral plasma SCF were higher in non-dipper group (907.1±52.7 ng/L vs. 778.7±44.6 ng/L; t=2.837, P<0.01), and the levels of c-kit were higher in non-dipper group too (13.2±1.7 μg/L vs 9.57±1.4 μg/L; t=2.831, P<0.01). Linear regression analysis revealed that SCF/ckit levels were significantly positively correlated with MSBP, MDBP, plasma TNF-α, and IL-6 levels (all P<0.01).Conclusions Peripheral plasma SCF/c-kit levels are higher in patients with non-dipper hypertension than those with dipper one, and significantly correlate with 24-hour MSBP, 24-hour MDBP, serum TNF-α and IL-6 levels.展开更多
The model proposes that Nuclei of all macroobjects (Galaxy clusters, Galaxies, Star clusters, Extrasolar systems) are made up of Dark Matter Particles (DMP). These Nuclei are surrounded by Shells composed of both Dark...The model proposes that Nuclei of all macroobjects (Galaxy clusters, Galaxies, Star clusters, Extrasolar systems) are made up of Dark Matter Particles (DMP). These Nuclei are surrounded by Shells composed of both Dark and Baryonic matter. This model is used to explain various astrophysical phenomena: Multi-wavelength Pulsars;Binary Millisecond Pulsars;Gamma-Ray Bursts;Fast Radio Bursts;Young Stellar Object Dippers;Starburst Galaxies;Gravitational Waves. New types of Fermi Compact Stars made of DMP are introduced: Neutralino star, WIMP star, and DIRAC star. Gamma-Ray Pulsars are rotating Neutralino and WIMP stars. Merger of binary DIRAC stars can be a source of Gravitational waves.展开更多
目的 探讨动态血压指标对老年高血压患者蛛网膜下腔阻滞后低血压的预测价值。方法 选取2020年6月至2021年12月青海红十字医院收治的119例于蛛网膜下腔阻滞下接受骨科手术的老年(年龄≥60岁)高血压患者为研究对象,根据蛛网膜下腔阻滞后...目的 探讨动态血压指标对老年高血压患者蛛网膜下腔阻滞后低血压的预测价值。方法 选取2020年6月至2021年12月青海红十字医院收治的119例于蛛网膜下腔阻滞下接受骨科手术的老年(年龄≥60岁)高血压患者为研究对象,根据蛛网膜下腔阻滞后是否发生低血压将研究对象分为血压正常组(85例)和低血压组(34例),比较分析两组患者的临床特征和动态血压指标。分析老年高血压患者蛛网膜下腔阻滞后发生低血压的独立影响因素以及非杓型血压对老年高血压患者蛛网膜下腔阻滞后发生低血压的预测价值。结果 低血压组患者的年龄、美国麻醉医师协会(American Society of Anesthesiologists,ASA)分级为Ⅱ级的比例、使用β受体阻滞剂的比例以及非杓型血压的比例均显著大于或高于血压正常组(P<0.05)。多因素logistic回归分析结果显示,使用β受体阻滞剂、非杓型血压是老年高血压患者蛛网膜下腔阻滞后发生低血压的独立危险因素(P<0.05)。受试者工作特征曲线分析结果显示,年龄、ASA分级为Ⅱ级、使用β受体阻滞剂三联指标预测老年高血压患者蛛网膜下腔阻滞后发生低血压的曲线下面积为0.64,敏感度为76.2%,特异度为56.9%。年龄、ASA分级为Ⅱ级、使用β受体阻滞剂、非杓型血压四联指标预测老年高血压患者蛛网膜下腔阻滞后发生低血压的曲线下面积为0.81,敏感度为90.6%,特异度为64.7%。四联指标预测模型的效能显著高于三联指标(χ^(2)=16.254,P<0.001)。结论 非杓型血压是老年高血压患者蛛网膜下腔阻滞后发生低血压的独立危险因素,且加入非杓型血压指标的预测模型对老年高血压患者蛛网膜下腔阻滞后发生低血压的预测效能显著升高。展开更多
目的分析原发性高血压患者动态动脉硬化指数(AASI)的相关影响因素,研究AASI对靶器官的损害作用及其临床意义。方法行24 h动态血压(ABPM)监测并计算AASI的原发性高血压患者330例,依据AASI结果分为低AASI组(n=167)及高AASI组(n=163),记录...目的分析原发性高血压患者动态动脉硬化指数(AASI)的相关影响因素,研究AASI对靶器官的损害作用及其临床意义。方法行24 h动态血压(ABPM)监测并计算AASI的原发性高血压患者330例,依据AASI结果分为低AASI组(n=167)及高AASI组(n=163),记录2组患者的一般临床资料、动态血压相关指标、冠状动脉造影结果、左室质量指数(LVMI),估算肾小球滤过率(eGFR)及踝臂指数(ABI)。结果高AASI组的年龄(岁:64.91±9.70vs 59.12±10.00)、合并糖尿病比例(33.8%vs 14.8%)、非杓型血压比例(65.6%vs 43.7%)、24 h脉压(mmHg:65.27±11.31 vs 56.06±10.51)、24 h舒张压标准差(mmHg:9.64±2.47 vs 8.31±2.31)、冠状动脉病变支数(1.8±1.1 vs 1.3±1.1)、LVMI(g/m2:125.74±29.65 vs 107.69±23.23)、外周血管病变(27.3%vs 16.4%)高于低AASI组;高AASI组eGFR水平小于低AASI组[mL/(min·1.73 m2):85.31±20.31 vs 99.67±17.76]。相关分析显示AASI与冠脉病变数(r=0.235)、LVMI(r=0.168)、外周血管病变(r=0.167)呈正相关,与eGFR(r=-0.187)呈负相关;多元线性回归分析显示年龄、糖尿病、PP、DB-PSD、非杓型血压是AASI的影响因素。结论 AASI受年龄、糖尿病、24 h脉压、血压变异性及血压杓型的影响,其升高和原发性高血压患者出现心、肾及外周血管疾病有关,检测AASI有助于临床医生评估高血压患者并发症的发生和发展。展开更多
目的探讨高血压病患者血糖水平与血压变异性之间的关系。方法回顾性分析2015年5月—2016年10月在我院心血管内科住院的高血压病患者125例,根据患者是否合并糖尿病,分为高血压合并糖尿病组(59例)和高血压未合并糖尿病组(66例),对2组血压...目的探讨高血压病患者血糖水平与血压变异性之间的关系。方法回顾性分析2015年5月—2016年10月在我院心血管内科住院的高血压病患者125例,根据患者是否合并糖尿病,分为高血压合并糖尿病组(59例)和高血压未合并糖尿病组(66例),对2组血压水平、血压变异性及与血糖水平之间的关系进行分析。结果 (1)高血压合并糖尿病组高脂血症史,低密度脂蛋白胆固醇水平低于高血压未合并糖尿病组,糖化血红蛋白(HbA1c)、24 h舒张压变异系数(24 h DBPCV)、白天收缩压变异系数(dSBPCV)和白天舒张压变异系数(dDBPCV)高于高血压未合并糖尿病组(P<0.05)。(2)对高血压病是否合并糖尿病与血压变异性各指标之间的Spearman相关分析显示,高血压病合并糖尿病与24 h DBPCV、dSBPCV和dDBPCV呈正相关。(3)HbA1c诊断高血压病患者非杓型血压的ROC曲线显示,HbA1c的cut-off值为5.85%,曲线下面积为0.692(P<0.05),敏感度为71.1%,特异度为63.7%。结论高血压伴血糖升高患者血压变异性增加,HbA1c水平对高血压病患者非杓型血压诊断有着潜在的临床价值。展开更多
基金funded by the Deanship of Scientific Research,Princess Nourah bint Abdulrahman University,through the Program of Research Project Funding After Publication,Grant No (43-PRFA-P-52).
文摘The accurate prediction of energy consumption has effective role in decision making and risk management for individuals and governments.Meanwhile,the accurate prediction can be realized using the recent advances in machine learning and predictive models.This research proposes a novel approach for energy consumption forecasting based on a new optimization algorithm and a new forecasting model consisting of a set of long short-term memory(LSTM)units.The proposed optimization algorithm is used to optimize the parameters of the LSTM-based model to boost its forecasting accuracy.This optimization algorithm is based on the recently emerged dipper-throated optimization(DTO)and stochastic fractal search(SFS)algo-rithm and is referred to as dynamic DTOSFS.To prove the effectiveness and superiority of the proposed approach,five standard benchmark algorithms,namely,stochastic fractal search(SFS),dipper throated optimization(DTO),whale optimization algorithm(WOA),particle swarm optimization(PSO),and grey wolf optimization(GWO),are used to optimize the parameters of the LSTM-based model,and the results are compared with that of the proposed approach.Experimental results show that the proposed DDTOSFS+LSTM can accurately forecast the energy consumption with root mean square error RMSE of 0.00013,which is the best among the recorded results of the other methods.In addition,statistical experiments are conducted to prove the statistical difference of the proposed model.The results of these tests confirmed the expected outcomes.
文摘Objective The aim of this study was to investigate the relationship between peripheral plasma stem cell factor (SCF)/c-kit levels and the types of dipper and non-dipper hypertension in hypertensive patients.Methods This cross-sectional study included newly diagnosed hypertensive patients who underwent 24-hour ambulatory blood pressure monitor (ABPM) between January 2009 and 2012 in Jiangning city. Patients were divided into the dipper group and the non-dipper group according to ABPM measurements. The levels of SCF and its receptor c-kit, tumor necrosis factor-α (TNF-α) and interleukin 6 (IL-6) in peripheral blood were measured via enzyme-linked immunosorbent assays. The serum levels of glucose and lipid were examined as well. The levels of SCF/c-kit were compared between the dippers and the non-dippers; and their correlation with 24-hour mean systolic blood pressure (MSBP), 24-hour mean diastolic blood pressure (MDBP), TNF-αand IL-6 were investigated using linear regression analyses statistically.Results A total of 247 patients with newly diagnosed hypertension were recruited into the study, including 116 non-dippers and 131 dippers. The levels of peripheral plasma SCF were higher in non-dipper group (907.1±52.7 ng/L vs. 778.7±44.6 ng/L; t=2.837, P<0.01), and the levels of c-kit were higher in non-dipper group too (13.2±1.7 μg/L vs 9.57±1.4 μg/L; t=2.831, P<0.01). Linear regression analysis revealed that SCF/ckit levels were significantly positively correlated with MSBP, MDBP, plasma TNF-α, and IL-6 levels (all P<0.01).Conclusions Peripheral plasma SCF/c-kit levels are higher in patients with non-dipper hypertension than those with dipper one, and significantly correlate with 24-hour MSBP, 24-hour MDBP, serum TNF-α and IL-6 levels.
文摘The model proposes that Nuclei of all macroobjects (Galaxy clusters, Galaxies, Star clusters, Extrasolar systems) are made up of Dark Matter Particles (DMP). These Nuclei are surrounded by Shells composed of both Dark and Baryonic matter. This model is used to explain various astrophysical phenomena: Multi-wavelength Pulsars;Binary Millisecond Pulsars;Gamma-Ray Bursts;Fast Radio Bursts;Young Stellar Object Dippers;Starburst Galaxies;Gravitational Waves. New types of Fermi Compact Stars made of DMP are introduced: Neutralino star, WIMP star, and DIRAC star. Gamma-Ray Pulsars are rotating Neutralino and WIMP stars. Merger of binary DIRAC stars can be a source of Gravitational waves.
文摘目的 探讨动态血压指标对老年高血压患者蛛网膜下腔阻滞后低血压的预测价值。方法 选取2020年6月至2021年12月青海红十字医院收治的119例于蛛网膜下腔阻滞下接受骨科手术的老年(年龄≥60岁)高血压患者为研究对象,根据蛛网膜下腔阻滞后是否发生低血压将研究对象分为血压正常组(85例)和低血压组(34例),比较分析两组患者的临床特征和动态血压指标。分析老年高血压患者蛛网膜下腔阻滞后发生低血压的独立影响因素以及非杓型血压对老年高血压患者蛛网膜下腔阻滞后发生低血压的预测价值。结果 低血压组患者的年龄、美国麻醉医师协会(American Society of Anesthesiologists,ASA)分级为Ⅱ级的比例、使用β受体阻滞剂的比例以及非杓型血压的比例均显著大于或高于血压正常组(P<0.05)。多因素logistic回归分析结果显示,使用β受体阻滞剂、非杓型血压是老年高血压患者蛛网膜下腔阻滞后发生低血压的独立危险因素(P<0.05)。受试者工作特征曲线分析结果显示,年龄、ASA分级为Ⅱ级、使用β受体阻滞剂三联指标预测老年高血压患者蛛网膜下腔阻滞后发生低血压的曲线下面积为0.64,敏感度为76.2%,特异度为56.9%。年龄、ASA分级为Ⅱ级、使用β受体阻滞剂、非杓型血压四联指标预测老年高血压患者蛛网膜下腔阻滞后发生低血压的曲线下面积为0.81,敏感度为90.6%,特异度为64.7%。四联指标预测模型的效能显著高于三联指标(χ^(2)=16.254,P<0.001)。结论 非杓型血压是老年高血压患者蛛网膜下腔阻滞后发生低血压的独立危险因素,且加入非杓型血压指标的预测模型对老年高血压患者蛛网膜下腔阻滞后发生低血压的预测效能显著升高。
文摘目的分析原发性高血压患者动态动脉硬化指数(AASI)的相关影响因素,研究AASI对靶器官的损害作用及其临床意义。方法行24 h动态血压(ABPM)监测并计算AASI的原发性高血压患者330例,依据AASI结果分为低AASI组(n=167)及高AASI组(n=163),记录2组患者的一般临床资料、动态血压相关指标、冠状动脉造影结果、左室质量指数(LVMI),估算肾小球滤过率(eGFR)及踝臂指数(ABI)。结果高AASI组的年龄(岁:64.91±9.70vs 59.12±10.00)、合并糖尿病比例(33.8%vs 14.8%)、非杓型血压比例(65.6%vs 43.7%)、24 h脉压(mmHg:65.27±11.31 vs 56.06±10.51)、24 h舒张压标准差(mmHg:9.64±2.47 vs 8.31±2.31)、冠状动脉病变支数(1.8±1.1 vs 1.3±1.1)、LVMI(g/m2:125.74±29.65 vs 107.69±23.23)、外周血管病变(27.3%vs 16.4%)高于低AASI组;高AASI组eGFR水平小于低AASI组[mL/(min·1.73 m2):85.31±20.31 vs 99.67±17.76]。相关分析显示AASI与冠脉病变数(r=0.235)、LVMI(r=0.168)、外周血管病变(r=0.167)呈正相关,与eGFR(r=-0.187)呈负相关;多元线性回归分析显示年龄、糖尿病、PP、DB-PSD、非杓型血压是AASI的影响因素。结论 AASI受年龄、糖尿病、24 h脉压、血压变异性及血压杓型的影响,其升高和原发性高血压患者出现心、肾及外周血管疾病有关,检测AASI有助于临床医生评估高血压患者并发症的发生和发展。
文摘目的探讨高血压病患者血糖水平与血压变异性之间的关系。方法回顾性分析2015年5月—2016年10月在我院心血管内科住院的高血压病患者125例,根据患者是否合并糖尿病,分为高血压合并糖尿病组(59例)和高血压未合并糖尿病组(66例),对2组血压水平、血压变异性及与血糖水平之间的关系进行分析。结果 (1)高血压合并糖尿病组高脂血症史,低密度脂蛋白胆固醇水平低于高血压未合并糖尿病组,糖化血红蛋白(HbA1c)、24 h舒张压变异系数(24 h DBPCV)、白天收缩压变异系数(dSBPCV)和白天舒张压变异系数(dDBPCV)高于高血压未合并糖尿病组(P<0.05)。(2)对高血压病是否合并糖尿病与血压变异性各指标之间的Spearman相关分析显示,高血压病合并糖尿病与24 h DBPCV、dSBPCV和dDBPCV呈正相关。(3)HbA1c诊断高血压病患者非杓型血压的ROC曲线显示,HbA1c的cut-off值为5.85%,曲线下面积为0.692(P<0.05),敏感度为71.1%,特异度为63.7%。结论高血压伴血糖升高患者血压变异性增加,HbA1c水平对高血压病患者非杓型血压诊断有着潜在的临床价值。
