Function-Based Categorization of Online Product Information Types

Hardly any in-depth knowledge is currently available on how different types of product-relevant information influence online consumer trust and purchase decision. To address this research gap, we apply a generic function-based information typology to systematically classify the large variety of online product information and plan for a focused comparison of their functional roles and differential effects on online consumer decision making. The ultimate goal is to provide a theoretical basis for guiding and prioritizing online information organization and provision, which becomes increasingly important in the current context of information overload. The paper briefly reviews information research in e-commerce, discusses the conceptual basis of applying the generic function-based topical relevance typology to analyze online product information, and uses a variety of product examples from Amazon.com to demonstrate the process. The paper concludes with preliminary findings from this pilot study

Research on Excessive Labor of Couriers in Beijing

With the vigorous development of e-commerce, China’s express delivery industry ushered in the opportunity of rapid development, courier industry employment increased year by year. At the same time, the excessive labor of couriers has also aroused widespread concern in the society. This paper makes an empirical study on the over labor of expressing employees in Beijing, based on a questionnaire survey. This paper analyzes the current situation of excessive labor of express employees in Beijing. This paper probes into the deep cause of courier overwork. And put forward relevant policy recommendations accordingly

A robust penalized method for the analysis of noisy DNA copy number data

<p>Abstract</p> <p>Background</p> <p>Deletions and amplifications of the human genomic DNA copy number are the causes of numerous diseases, such as, various forms of cancer. Therefore, the detection of DNA copy number variations (CNV) is important in understanding the genetic basis of many diseases. Various techniques and platforms have been developed for genome-wide analysis of DNA copy number, such as, array-based comparative genomic hybridization (aCGH) and high-resolution mapping with high-density tiling oligonucleotide arrays. Since complicated biological and experimental processes are often associated with these platforms, data can be potentially contaminated by outliers.</p> <p>Results</p> <p>We propose a penalized LAD regression model with the adaptive fused lasso penalty for detecting CNV. This method contains robust properties and incorporates both the spatial dependence and sparsity of CNV into the analysis. Our simulation studies and real data analysis indicate that the proposed method can correctly detect the numbers and locations of the true breakpoints while appropriately controlling the false positives.</p> <p>Conclusions</p> <p>The proposed method has three advantages for detecting CNV change points: it contains robustness properties; incorporates both spatial dependence and sparsity; and estimates the true values at each marker accurately.</p

Overview of the CLEF-2005 cross-language speech retrieval track

The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision)

Applying a Topical Relevance Typology to Analyze Online Product Information Types and Their Effects on Internet Consumer Decision

This paper lays out a research proposal of systematically analyzing and comparing the decision effects of online product information types. Hardly any in-depth knowledge is currently available on how different information types influence online consumer trust and purchase intention. To address this research gap, we apply a generic function-based topical relevance typology to classify the variety of online product information and plan for focused comparisons of the functional roles played by different information types in e-retailing. Understanding the differential impacts of each information type provides a basis for prioritizing online information provisioning and organization, which becomes particularly meaningful in the current context of information overload. The paper briefly reviews information research in e-commerce, introduces the product type as an important moderating factor, and discusses the conceptual basis and applicability of applying the generic relevance typology to analyze product relevant information. The research model and preliminary hypotheses are also described

Advanced research methods and their applications on the nexus of energy efficiency and environment: evidence from five RCEP economies

Using efficient and cleaner energy is environmentally friendly and is vital for combating the negative effect of emissions on the environment. Focusing on both developed and developing nations, it is important to report their environmental conditions while targeting economic and energy-related factors. In this regard, the current study is an attempt to investigate the influence of energy efficiency (ENEF), financial inclusion (FIN), economic growth (GDP), environmental-related technological innovation (ERTI), and human capital index (HCI) on the carbon dioxide (CO2) emissions for the five selected nations of RCEP. The variables are found associated in terms of long-run cointegration relationships. The panel quantile regression estimator is utilized for empirical estimations, which provide highly significant estimates across the three selected quantiles (25th, 50th and 75th). The results report that FIN and GDP significantly aggravate environmental degradation by enhancing the CO2 emission level, among which the strongest CO2 emission growth is found in the second quantile. Besides, the ENEF, ERTI and HCI significantly reduce CO2 emission. Based on the empirical findings, this study provides practical implication focusing on the improvement of energy efficiency policies and revising financial inclusion policies in promotion of green investments

Amygdalin protects apoptosis of retinal ganglionic cells in glaucoma rats by regulating the expressions of anti- and pro-apoptotic proteins

Purpose: To evaluate the protective effect of amygdalin against glaucoma.Methods: Glaucoma was induced in rats via ischemia/reperfusion. The rats were treated with amygdalin (1 mg/kg) intraperitoneally (ip) for 5 weeks. Intra-ocular pressure (IOP), viability of retinal ganglion cell (RGCs) and histopathological changes in the retinal tissue of the glaucoma rats were determined. The expression levels of inflammatory cytokines and expressions of apoptotic factors were assessed in retinal tissues of all groups.Results: Intra-ocular pressure was reduced in amygdalin-treated group, when compared with the glaucoma group (p &lt; 0.05). Moreover, the viability and thickness of RGCs in the amygdalin-treated group were enhanced, relative to untreated glaucoma rats. There was decrease in retinal cytokinelevels in amygdalin-treated group, when compared with untreated glaucoma rats. Amygdalin treatment ameliorated altered expressions of apoptosis proteins in the retinal tissue of ischemia/reperfusioninduced glaucoma rats.Conclusion: Amygdalin has a protective effect against ischemia/reperfusion-induced glaucoma in rats. Thus, it has a potential for use in the clinical management of glaucoma. Keywords: Glaucoma, Amygdalin, Cytokines, Ischemia/reperfusion, Apoptosi