In making purchasing decisions, consumers look to online reviews posted by others who have used or experienced the product/service. Most existing studies on online reviews only focused on their content without address...In making purchasing decisions, consumers look to online reviews posted by others who have used or experienced the product/service. Most existing studies on online reviews only focused on their content without addressing how their explanation type influences purchasing decisions, not to mention the boundary conditions for such effects. Based on three experimental studies, this paper examines how explanation type affects the perceived usefulness of online reviews and purchasing decisions, and discusses the boundary conditions for such effects. Our findings show that positive explanation type has a positive effect on the perceived usefulness of online reviews, while negative explanation has an insignificant impact. For search products, there is a positive correlation between the online reviews of explained actions and the perceived usefulness of consumer reviews. For experience products, there is a positive correlation between the online reviews of explained reactions and the perceived usefulness of consumer reviews. Further research found that temporal distance may moderate the effects of explanation type and product type on the perceived usefulness of online reviews. This study also provides a new approach for research on the word-of-mouth(WOM) with meaningful implications for e-commerce firms.展开更多
Geophagia (the pica of pottery, clay, earth, or dirt) is practiced before and during pregnancy in several countries, including Mexico, Turkey, Australia, and some African countries, and has been linked with cultural f...Geophagia (the pica of pottery, clay, earth, or dirt) is practiced before and during pregnancy in several countries, including Mexico, Turkey, Australia, and some African countries, and has been linked with cultural fertility beliefs and the satisfaction of cravings. Unfortunately, consumption of contaminated pottery can represent a source of lead exposure. Concerns regarding ingested pottery are two-fold;first, that people consuming these pots might be exposed to high concentrations of lead, and, second, that ingestion of these pots by pregnant women could result in elevated in utero lead exposure for the fetus. Very few published articles exist on this topic. In an effort to investigate “pot eating”, this study aims to summarize published case studies on lead poisonings resulting from consumption of contaminated pottery. Additionally, several pottery items that are sold for the purpose of consumption were located and analyzed. This paper investigates the risk that “pot eating” poses by reviewing the literature, examining case studies, and analyzing the availability and lead concentration of edible pottery. Preliminary research indicates that although it is not common, “pot eating” can represent a high-risk lead exposure for pregnant women and their fetuses.展开更多
With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after ...With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.展开更多
背景:大量的研究发现雌激素与肌腱病具有一定的相关性,但长期以来雌激素在肌腱病中的实验研究成果与总结较少,不方便专科从业者及相关领域学者全面了解研究近况。目的:综述目前临床或临床前原始研究,以期对雌激素在肌腱病中的作用进行总...背景:大量的研究发现雌激素与肌腱病具有一定的相关性,但长期以来雌激素在肌腱病中的实验研究成果与总结较少,不方便专科从业者及相关领域学者全面了解研究近况。目的:综述目前临床或临床前原始研究,以期对雌激素在肌腱病中的作用进行总结,并对未来雌激素在肌腱病中的评估和管理进行一定的展望。方法:通过计算机对PubMed、Web of Science、中国知网、万方和维普数据库中的相关文献进行检索。检索时间为2008年1月至2023年9月,英文检索词为“Oestrogen,Estrogen,Estrogen receptor,Tendinopathy,Tendonopathy,Sinew,Tendon,Tendons,Myotenositis”;中文检索词为“雌激素,雌激素受体,肌腱病,肌腱,肌腱炎”。依据入选标准对检索结果进行筛选排除,最终纳入60篇文献进行综述分析。结果与结论:①体内研究表明,雌激素可促进肌腱的合成代谢。也有体外实验证明多种雌激素对肌腱能够起到促进肌腱细胞增殖、减轻炎症反应和细胞凋亡的作用,但实验大都局限于动物模型。②雌激素受体β更多的在肌腱损伤和修复过程起作用,而雌激素受体α暂未发现能够在肌腱损伤过程中产生主要影响。雌激素受体β的表达通过影响脂肪形成、Ⅰ型胶原蛋白的沉积和减少肌腱细胞凋亡来修复肌腱,而其过度表达则可能会促进炎症和血管生成,从而推进炎症进程,在肌腱损伤中发挥作用。③动物研究显示,雌激素缺乏可能会降低肌腱的胶原合成效率,肌腱弹性下降,抑制肌腱的合成代谢,不利于肌腱损伤修复,而正常水平的雌激素可能对肌腱中Ⅰ型胶原合成有刺激作用,促进肌腱细胞增殖和代谢。④目前雌激素在肌腱损伤中作用的分子机制尚未完全阐释,更多实验围绕肌腱胶原合成、细胞增殖凋亡,仅有少量文献研究了雌激素受体β缺陷调控干扰素调节因子5-趋化因子配体3轴、E2调控雌激素受体α和PI-3K-Akt信号通路以及高水平雌二醇降低游离循环胰岛素样生长因子水平3方面的分子机制。⑤包括内源性雌激素和植物雌激素在内的多种雌激素在正常水平时有益于肌腱病的修复,其主要通过雌激素受体β影响脂肪形成、Ⅰ型胶原蛋白的沉积和减少肌腱细胞凋亡发挥作用,这为未来不同亚型雌激素用于在体肌腱病的治疗以及关于雌激素膜性受体种类对肌腱病的影响打下了基础。展开更多
随着移动互联网时代的快速发展,电商平台迅速崛起成为推动网络消费增长的一股新兴且强大的力量。为了有效利用海量的商品评论数据,文章基于京东商城丝绸商品的评论数据,使用词频统计对评论数据进行分析处理,构建属性-情感词词典,填充了...随着移动互联网时代的快速发展,电商平台迅速崛起成为推动网络消费增长的一股新兴且强大的力量。为了有效利用海量的商品评论数据,文章基于京东商城丝绸商品的评论数据,使用词频统计对评论数据进行分析处理,构建属性-情感词词典,填充了评论中的隐性属性。利用Label Studio数据标注平台对评论数据进行属性-观点-情感的三元标注,经过标注后的数据集被应用于UIE(Unified Structure Generation for Universal Information Extraction)模型进行属性级情感抽取,并基于抽取的数据集对ERNIE(Enhanced Language Representation with Informative Entities)模型进行微调训练。实验结果表明,该方法在属性级情感分析中的准确率高达90%,填充隐性属性后,准确率提升至94%,表明该方法所得模型在属性级情感分析中有着不错的效果。展开更多
基金Supported by"Reputation Sharing Mechanism and Recourse Liability Policy of E-commerce Platform:An Interactive Perspective of Platform Enterprise and Its Sellers"Project of the National Natural Science Foundation of China(NSFC)(Grant No.71672026)"Influencing Mechanism of User-generated Content on Brand Equity of Multichannel Retailers under the Regulatory Focus Paradigm"of the NSFC(Grant No.71272050)
文摘In making purchasing decisions, consumers look to online reviews posted by others who have used or experienced the product/service. Most existing studies on online reviews only focused on their content without addressing how their explanation type influences purchasing decisions, not to mention the boundary conditions for such effects. Based on three experimental studies, this paper examines how explanation type affects the perceived usefulness of online reviews and purchasing decisions, and discusses the boundary conditions for such effects. Our findings show that positive explanation type has a positive effect on the perceived usefulness of online reviews, while negative explanation has an insignificant impact. For search products, there is a positive correlation between the online reviews of explained actions and the perceived usefulness of consumer reviews. For experience products, there is a positive correlation between the online reviews of explained reactions and the perceived usefulness of consumer reviews. Further research found that temporal distance may moderate the effects of explanation type and product type on the perceived usefulness of online reviews. This study also provides a new approach for research on the word-of-mouth(WOM) with meaningful implications for e-commerce firms.
文摘Geophagia (the pica of pottery, clay, earth, or dirt) is practiced before and during pregnancy in several countries, including Mexico, Turkey, Australia, and some African countries, and has been linked with cultural fertility beliefs and the satisfaction of cravings. Unfortunately, consumption of contaminated pottery can represent a source of lead exposure. Concerns regarding ingested pottery are two-fold;first, that people consuming these pots might be exposed to high concentrations of lead, and, second, that ingestion of these pots by pregnant women could result in elevated in utero lead exposure for the fetus. Very few published articles exist on this topic. In an effort to investigate “pot eating”, this study aims to summarize published case studies on lead poisonings resulting from consumption of contaminated pottery. Additionally, several pottery items that are sold for the purpose of consumption were located and analyzed. This paper investigates the risk that “pot eating” poses by reviewing the literature, examining case studies, and analyzing the availability and lead concentration of edible pottery. Preliminary research indicates that although it is not common, “pot eating” can represent a high-risk lead exposure for pregnant women and their fetuses.
文摘With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.
文摘背景:大量的研究发现雌激素与肌腱病具有一定的相关性,但长期以来雌激素在肌腱病中的实验研究成果与总结较少,不方便专科从业者及相关领域学者全面了解研究近况。目的:综述目前临床或临床前原始研究,以期对雌激素在肌腱病中的作用进行总结,并对未来雌激素在肌腱病中的评估和管理进行一定的展望。方法:通过计算机对PubMed、Web of Science、中国知网、万方和维普数据库中的相关文献进行检索。检索时间为2008年1月至2023年9月,英文检索词为“Oestrogen,Estrogen,Estrogen receptor,Tendinopathy,Tendonopathy,Sinew,Tendon,Tendons,Myotenositis”;中文检索词为“雌激素,雌激素受体,肌腱病,肌腱,肌腱炎”。依据入选标准对检索结果进行筛选排除,最终纳入60篇文献进行综述分析。结果与结论:①体内研究表明,雌激素可促进肌腱的合成代谢。也有体外实验证明多种雌激素对肌腱能够起到促进肌腱细胞增殖、减轻炎症反应和细胞凋亡的作用,但实验大都局限于动物模型。②雌激素受体β更多的在肌腱损伤和修复过程起作用,而雌激素受体α暂未发现能够在肌腱损伤过程中产生主要影响。雌激素受体β的表达通过影响脂肪形成、Ⅰ型胶原蛋白的沉积和减少肌腱细胞凋亡来修复肌腱,而其过度表达则可能会促进炎症和血管生成,从而推进炎症进程,在肌腱损伤中发挥作用。③动物研究显示,雌激素缺乏可能会降低肌腱的胶原合成效率,肌腱弹性下降,抑制肌腱的合成代谢,不利于肌腱损伤修复,而正常水平的雌激素可能对肌腱中Ⅰ型胶原合成有刺激作用,促进肌腱细胞增殖和代谢。④目前雌激素在肌腱损伤中作用的分子机制尚未完全阐释,更多实验围绕肌腱胶原合成、细胞增殖凋亡,仅有少量文献研究了雌激素受体β缺陷调控干扰素调节因子5-趋化因子配体3轴、E2调控雌激素受体α和PI-3K-Akt信号通路以及高水平雌二醇降低游离循环胰岛素样生长因子水平3方面的分子机制。⑤包括内源性雌激素和植物雌激素在内的多种雌激素在正常水平时有益于肌腱病的修复,其主要通过雌激素受体β影响脂肪形成、Ⅰ型胶原蛋白的沉积和减少肌腱细胞凋亡发挥作用,这为未来不同亚型雌激素用于在体肌腱病的治疗以及关于雌激素膜性受体种类对肌腱病的影响打下了基础。
文摘随着移动互联网时代的快速发展,电商平台迅速崛起成为推动网络消费增长的一股新兴且强大的力量。为了有效利用海量的商品评论数据,文章基于京东商城丝绸商品的评论数据,使用词频统计对评论数据进行分析处理,构建属性-情感词词典,填充了评论中的隐性属性。利用Label Studio数据标注平台对评论数据进行属性-观点-情感的三元标注,经过标注后的数据集被应用于UIE(Unified Structure Generation for Universal Information Extraction)模型进行属性级情感抽取,并基于抽取的数据集对ERNIE(Enhanced Language Representation with Informative Entities)模型进行微调训练。实验结果表明,该方法在属性级情感分析中的准确率高达90%,填充隐性属性后,准确率提升至94%,表明该方法所得模型在属性级情感分析中有着不错的效果。
