Social networks like Facebook, X (Twitter), and LinkedIn provide an interaction and communication environment for users to generate and share content, allowing for the observation of social behaviours in the digital w...Social networks like Facebook, X (Twitter), and LinkedIn provide an interaction and communication environment for users to generate and share content, allowing for the observation of social behaviours in the digital world. These networks can be viewed as a collection of nodes and edges, where users and their interactions are represented as nodes and the connections between them as edges. Understanding the factors that contribute to the formation of these edges is important for studying network structure and processes. This knowledge can be applied to various areas such as identifying communities, recommending friends, and targeting online advertisements. Several factors, including node popularity and friends-of-friends relationships, influence edge formation and network growth. This research focuses on the temporal activity of nodes and its impact on edge formation. Specifically, the study examines how the minimum age of friends-of-friends edges and the average age of all edges connected to potential target nodes influence the formation of network edges. Discrete choice analysis is used to analyse the combined effect of these temporal factors and other well-known attributes like node degree (i.e., the number of connections a node has) and network distance between nodes. The findings reveal that temporal properties have a similar impact as network proximity in predicting the creation of links. By incorporating temporal features into the models, the accuracy of link prediction can be further improved.展开更多
At present, there is relatively little research on the synergistic effects of heavy metals in soil, sediment, and bedrock on heavy metal pollution in water bodies. In this paper, heavy metals in soil, sediment, bedroc...At present, there is relatively little research on the synergistic effects of heavy metals in soil, sediment, and bedrock on heavy metal pollution in water bodies. In this paper, heavy metals in soil, sediment, bedrock, and water of a typical karst watershed in southwest China were investigated. The results indicated that the average values of heavy metals in soil and sediment were relatively higher than those in bedrock except for Ni and As. During the research period, As and Cd were the main heavy metal elements polluting the soil and sediment in the study area, while water bodies were mainly polluted by Ni, As, and Cd. The pollution assessment indicated that there were instances of poor or very poor water quality in the study area during the study period;the soil as a whole was slightly polluted by Cd and As;sediment was subject to moderate Cd pollution and mild As pollution. Analysis of geochemical form for heavy metals showed that heavy metals in soil and sediment were mainly in residual form, and the proportions of exchangeable As and Cd were relatively high. Multiple statistical analysis showed that heavy metals in sediment, soil, and bedrock explained 23.8%, 16.8%, and 16.2% of the changes in heavy metals of water, respectively. The research results can provide scientific basis for the prevention and control of heavy metal pollution in water bodies.展开更多
Public companies in the United States are required to file annual reports(i.e.,Form 10-K)and disclose,among other things,the risk factors that may harm their stock price.The risk of a pandemic was well-known before th...Public companies in the United States are required to file annual reports(i.e.,Form 10-K)and disclose,among other things,the risk factors that may harm their stock price.The risk of a pandemic was well-known before the recent crisis,and we now know that the initial impact on many shareholders was significant and negative.To what extent did managers forewarn their shareholders about this valuation risk?We examine all 10-K filings from 2018,before any knowledge of the current pandemic,and find that less than 21%of them contain any reference to pandemic-related terms.Given the management’s presumed in-depth knowledge of their business and the general awareness that pandemics have been identified as a significant global risk for at least the past decade,this number should have been higher.We find an unexpectedly posi-tive correlation(0.137)between the use of pandemic-related words in annual reports and realized stock returns during the actual pandemic at the industry level.Some industries most severely impacted by COVID-19 barely mentioned pandemic risk in their financial disclosures to shareholders,indicating that managers were ineffective in highlighting their exposure to pandemic risks to investors.展开更多
目的探讨微生态制剂联合浙贝黄芩汤对急性淋巴细胞白血病(ALL)大剂量化疗后患者粒细胞集落刺激因子受体(G-CSFR)、粒单系集落形成单位(CFU-GM)、肠道菌群及红系爆式集落形成单位(BFU-E)的影响。方法选取延安大学附属医院2019年6月至2022...目的探讨微生态制剂联合浙贝黄芩汤对急性淋巴细胞白血病(ALL)大剂量化疗后患者粒细胞集落刺激因子受体(G-CSFR)、粒单系集落形成单位(CFU-GM)、肠道菌群及红系爆式集落形成单位(BFU-E)的影响。方法选取延安大学附属医院2019年6月至2022年12月收治的ALL患者130例作为研究对象,根据治疗方法将患者分为A组、B组、C组,3组患者均接受大剂量化疗,化疗结束48 h后A组患者实施常规治疗,B组患者单纯浙贝黄芩汤治疗,C组给予微生态制剂联合浙贝黄芩汤治疗,治疗12 d后,对3组患者G-CSFR、CFU-GM、BFU-E表达情况及血细胞数量进行检测。结果治疗后,C组血红蛋白、白细胞、血小板[(79±6)g/L、(3.8±0.4)×10^(9)/L、(66.4±3.6)×10^(9)/L]与A组[(59±7)g/L、(3.2±0.4)×10^(9)/L、(52.6±2.8)×10^(9)/L]、B组[(61±7)g/L、(3.1±0.3)×10^(9)/L、(52.8±2.6)×10^(9)/L]对比,差异有统计学意义(P<0.05)。C组G-CSFR(5.35±0.16)pg/ml和白细胞介素-11受体(IL-11R)(6.38±0.54)μg/kg水平均高于A组[(2.23±0.13)pg/ml和(1.49±0.24)μg/kg]和B组[(2.31±0.16)pg/ml和(2.31±0.49)μg/kg]差异有统计学意义(P<0.05)。治疗后,C组患者7 d CFU-GM(18.5±6.0)个和14 d BFU-E(83.5±7.5)个高于A组[7 d CFU-GM(9.5±2.0)个和14 d BFU-E(59.5±6.5)个]和B组[7 d CFU-GM(12.0±6.5)个和14 d BFU-E(63.5±5.0)个],差异有统计学意义(P<0.05)。7 d后,C组双歧杆菌(12.56±3.25)lgCFU/g、乳酸杆菌(13.56±2.58)lgCFU/g、肠杆菌(5.12±1.45)lgCFU/g、肠球菌(5.14±0.58)lgCFU/g高于A组[(9.26±1.03)lg CFU/g、(8.65±0.84)lg CFU/g、(8.08±0.64)lgCFU/g、(8.15±0.46)lgCFU/g]和B组[(11.35±1.36)lg CFU/g、(12.43±1.14)lgCFU/g、(6.49±0.55)lgCFU/g、(6.66±0.43)lgCFU/g],差异有统计学意义(P<0.05)。结论微生态制剂联合浙贝黄芩汤治疗可以有效提高ALL大剂量化疗后患者的G-CSFR、CFU-GM、BFU-E水平,可能更好地改善化疗引起的患者骨髓抑制情况,改善肠道菌群,具有临床研究价值。展开更多
文摘Social networks like Facebook, X (Twitter), and LinkedIn provide an interaction and communication environment for users to generate and share content, allowing for the observation of social behaviours in the digital world. These networks can be viewed as a collection of nodes and edges, where users and their interactions are represented as nodes and the connections between them as edges. Understanding the factors that contribute to the formation of these edges is important for studying network structure and processes. This knowledge can be applied to various areas such as identifying communities, recommending friends, and targeting online advertisements. Several factors, including node popularity and friends-of-friends relationships, influence edge formation and network growth. This research focuses on the temporal activity of nodes and its impact on edge formation. Specifically, the study examines how the minimum age of friends-of-friends edges and the average age of all edges connected to potential target nodes influence the formation of network edges. Discrete choice analysis is used to analyse the combined effect of these temporal factors and other well-known attributes like node degree (i.e., the number of connections a node has) and network distance between nodes. The findings reveal that temporal properties have a similar impact as network proximity in predicting the creation of links. By incorporating temporal features into the models, the accuracy of link prediction can be further improved.
基金Guizhou Provincial Key Technology R&D Program (2202023QKHZC).
文摘At present, there is relatively little research on the synergistic effects of heavy metals in soil, sediment, and bedrock on heavy metal pollution in water bodies. In this paper, heavy metals in soil, sediment, bedrock, and water of a typical karst watershed in southwest China were investigated. The results indicated that the average values of heavy metals in soil and sediment were relatively higher than those in bedrock except for Ni and As. During the research period, As and Cd were the main heavy metal elements polluting the soil and sediment in the study area, while water bodies were mainly polluted by Ni, As, and Cd. The pollution assessment indicated that there were instances of poor or very poor water quality in the study area during the study period;the soil as a whole was slightly polluted by Cd and As;sediment was subject to moderate Cd pollution and mild As pollution. Analysis of geochemical form for heavy metals showed that heavy metals in soil and sediment were mainly in residual form, and the proportions of exchangeable As and Cd were relatively high. Multiple statistical analysis showed that heavy metals in sediment, soil, and bedrock explained 23.8%, 16.8%, and 16.2% of the changes in heavy metals of water, respectively. The research results can provide scientific basis for the prevention and control of heavy metal pollution in water bodies.
文摘Public companies in the United States are required to file annual reports(i.e.,Form 10-K)and disclose,among other things,the risk factors that may harm their stock price.The risk of a pandemic was well-known before the recent crisis,and we now know that the initial impact on many shareholders was significant and negative.To what extent did managers forewarn their shareholders about this valuation risk?We examine all 10-K filings from 2018,before any knowledge of the current pandemic,and find that less than 21%of them contain any reference to pandemic-related terms.Given the management’s presumed in-depth knowledge of their business and the general awareness that pandemics have been identified as a significant global risk for at least the past decade,this number should have been higher.We find an unexpectedly posi-tive correlation(0.137)between the use of pandemic-related words in annual reports and realized stock returns during the actual pandemic at the industry level.Some industries most severely impacted by COVID-19 barely mentioned pandemic risk in their financial disclosures to shareholders,indicating that managers were ineffective in highlighting their exposure to pandemic risks to investors.
文摘目的探讨微生态制剂联合浙贝黄芩汤对急性淋巴细胞白血病(ALL)大剂量化疗后患者粒细胞集落刺激因子受体(G-CSFR)、粒单系集落形成单位(CFU-GM)、肠道菌群及红系爆式集落形成单位(BFU-E)的影响。方法选取延安大学附属医院2019年6月至2022年12月收治的ALL患者130例作为研究对象,根据治疗方法将患者分为A组、B组、C组,3组患者均接受大剂量化疗,化疗结束48 h后A组患者实施常规治疗,B组患者单纯浙贝黄芩汤治疗,C组给予微生态制剂联合浙贝黄芩汤治疗,治疗12 d后,对3组患者G-CSFR、CFU-GM、BFU-E表达情况及血细胞数量进行检测。结果治疗后,C组血红蛋白、白细胞、血小板[(79±6)g/L、(3.8±0.4)×10^(9)/L、(66.4±3.6)×10^(9)/L]与A组[(59±7)g/L、(3.2±0.4)×10^(9)/L、(52.6±2.8)×10^(9)/L]、B组[(61±7)g/L、(3.1±0.3)×10^(9)/L、(52.8±2.6)×10^(9)/L]对比,差异有统计学意义(P<0.05)。C组G-CSFR(5.35±0.16)pg/ml和白细胞介素-11受体(IL-11R)(6.38±0.54)μg/kg水平均高于A组[(2.23±0.13)pg/ml和(1.49±0.24)μg/kg]和B组[(2.31±0.16)pg/ml和(2.31±0.49)μg/kg]差异有统计学意义(P<0.05)。治疗后,C组患者7 d CFU-GM(18.5±6.0)个和14 d BFU-E(83.5±7.5)个高于A组[7 d CFU-GM(9.5±2.0)个和14 d BFU-E(59.5±6.5)个]和B组[7 d CFU-GM(12.0±6.5)个和14 d BFU-E(63.5±5.0)个],差异有统计学意义(P<0.05)。7 d后,C组双歧杆菌(12.56±3.25)lgCFU/g、乳酸杆菌(13.56±2.58)lgCFU/g、肠杆菌(5.12±1.45)lgCFU/g、肠球菌(5.14±0.58)lgCFU/g高于A组[(9.26±1.03)lg CFU/g、(8.65±0.84)lg CFU/g、(8.08±0.64)lgCFU/g、(8.15±0.46)lgCFU/g]和B组[(11.35±1.36)lg CFU/g、(12.43±1.14)lgCFU/g、(6.49±0.55)lgCFU/g、(6.66±0.43)lgCFU/g],差异有统计学意义(P<0.05)。结论微生态制剂联合浙贝黄芩汤治疗可以有效提高ALL大剂量化疗后患者的G-CSFR、CFU-GM、BFU-E水平,可能更好地改善化疗引起的患者骨髓抑制情况,改善肠道菌群,具有临床研究价值。
