When More Is Worse: Different Product Types And Choice Overload

Although standard choice theory argues that consumers benefit from large assortments, choice overload theory argues that consumers instead face unexpectedly demotivating outcomes from having too many options. This investigation uses a conceptual framework to compare consumer purchasing decisions for different types of products to see whether consumers face choice overload in a similar or different fashion. Results reveal that for products such as food, electronics, and investments, consumers experience choice overload when assortments are large and when presentation of options are in a difficult-to-comprehend format. Luxury products do not seem to follow this pattern, however. Businesses and policymakers should take note of these findings and create choice formats which aim to reduce the cognitive effort consumers require to make purchasing decisions in order to reduce consumers’ experience of choice overload

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning

The spread of rumors along with breaking events seriously hinders the truth in the era of social media. Previous studies reveal that due to the lack of annotated resources, rumors presented in minority languages are hard to be detected. Furthermore, the unforeseen breaking events not involved in yesterday's news exacerbate the scarcity of data resources. In this work, we propose a novel zero-shot framework based on prompt learning to detect rumors falling in different domains or presented in different languages. More specifically, we firstly represent rumor circulated on social media as diverse propagation threads, then design a hierarchical prompt encoding mechanism to learn language-agnostic contextual representations for both prompts and rumor data. To further enhance domain adaptation, we model the domain-invariant structural features from the propagation threads, to incorporate structural position representations of influential community response. In addition, a new virtual response augmentation method is used to improve model training. Extensive experiments conducted on three real-world datasets demonstrate that our proposed model achieves much better performance than state-of-the-art methods and exhibits a superior capacity for detecting rumors at early stages.Comment: AAAI 202

Incidence and influencing factors of fertility concerns in breast cancer in young women: a systematic review and meta-analysis

ObjectiveThis systematic review and meta-analysis aimed to evaluate the prevalence and influencing factors of fertility concerns in breast cancer in young women.MethodsA literature search on PubMed, Embase, Web of Science, and Cochrane Library databases was conducted up to February 2023 and was analyzed (Revman 5.4 software) in this study. The papers were chosen based on inclusion standards, and two researchers independently extracted the data. The included studies’ quality was evaluated using criteria set out by the Agency for Healthcare Research and Quality. To identify significant variations among the risk factors, odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were utilized.ResultsA total of 7 studies that included 1579 breast cancer in young women were enrolled in the study. The results showed that for breast cancer in young women, the incidence of fertility concerns 53%(95%CI [0.45,0.58]). The results showed that education (2.65, 95% CI 1.65–5.63), full-time work (0.12, 95% CI 1.03–1.93), fertility intentions (7.84, 95% CI 1.50–37.4), depression level (1.25, 95% CI 1.03–1.5), and endocrine therapy (1.32, 95% CI 1.08–1.62) were risk factors for fertility concerns in young women with BC. Having a partner (0.41, 95% CI 0.33–0.5), ≥1 child (0.3, 95% CI 0.22–0.4) were identified as protective factors against fertility concerns in young women with BC.ConclusionsThe incidence of fertility concerns in breast cancer in young women is at a moderately high level. We should pay more attention to the risk factors of fertility concerns to help breast cancer in young women cope with their fertility concerns and promote their psychological well-being

Proteomic Analysis of Pathways Involved in Estrogen-Induced Growth and Apoptosis of Breast Cancer Cells

Estrogen is a known growth promoter for estrogen receptor (ER)-positive breast cancer cells. Paradoxically, in breast cancer cells that have been chronically deprived of estrogen stimulation, re-introduction of the hormone can induce apoptosis.Here, we sought to identify signaling networks that are triggered by estradiol (E2) in isogenic MCF-7 breast cancer cells that undergo apoptosis (MCF-7:5C) versus cells that proliferate upon exposure to E2 (MCF-7). The nuclear receptor co-activator AIB1 (Amplified in Breast Cancer-1) is known to be rate-limiting for E2-induced cell survival responses in MCF-7 cells and was found here to also be required for the induction of apoptosis by E2 in the MCF-7:5C cells. Proteins that interact with AIB1 as well as complexes that contain tyrosine phosphorylated proteins were isolated by immunoprecipitation and identified by mass spectrometry (MS) at baseline and after a brief exposure to E2 for two hours. Bioinformatic network analyses of the identified protein interactions were then used to analyze E2 signaling pathways that trigger apoptosis versus survival. Comparison of MS data with a computationally-predicted AIB1 interaction network showed that 26 proteins identified in this study are within this network, and are involved in signal transduction, transcription, cell cycle regulation and protein degradation.G-protein-coupled receptors, PI3 kinase, Wnt and Notch signaling pathways were most strongly associated with E2-induced proliferation or apoptosis and are integrated here into a global AIB1 signaling network that controls qualitatively distinct responses to estrogen

Risk factors of incontinence-associated dermatitis in older adults: a protocol for systematic review and meta-analysis

Introduction Due to their ageing skin, older adults are more likely to develop incontinence-associated dermatitis (IAD). Although previous attempts to look at the risk factors for IAD in older adults were done, methodological barriers hindered an in-depth understanding. By investigating risk factors for IAD in the ageing population, the development of precise clinical interventions and guidance could be facilitated, which in turn would enhance patient care standards for incontinence management in this target group. To address this knowledge gap, this systematic review with meta-analysis aims to explore the major risk elements linked to IAD among older adults.Methods and analysis The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols are adhered to in this systematic review and meta-analysis. To achieve its objectives, a comprehensive search strategy PubMed, Embase, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Medline, Chinese Scientific Journal Database (VIP database), WanFang Data Knowledge Service Platform, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, along with other relevant sources published until 18 July 2023 in both English and Chinese languages will be performed. The screening of articles, data abstraction and risk of bias evaluation will be done by two impartial reviewers. RevMan V.5.3 software will be used for data synthesis. The quality of the included study will be assessed using the Newcastle-Ottawa Quality Assessment tool and the Agency for Healthcare Research and Quality. The I2 test will identify the heterogeneity.Ethics and dissemination There is no need for ethical approval. Individual patient information or the rights of participants will not be compromised by this protocol. The findings will either be published in a peer-reviewed journal.PROSPERO registration number CRD42023442585

The therapeutic effects of saikosaponins on depression through the modulation of neuroplasticity: From molecular mechanisms to potential clinical applications

Depression is a major global health issue that urgently requires innovative and precise treatment options. In this context, saikosaponin has emerged as a promising candidate, offering a variety of therapeutic benefits that may be effective in combating depression. This review delves into the multifaceted potential of saikosaponins in alleviating depressive symptoms. We summarized the effects of saikosaponins on structural and functional neuroplasticity, elaborated the regulatory mechanism of saikosaponins in modulating key factors that affect neuroplasticity, such as inflammation, the hypothalamic-pituitary-adrenal (HPA) axis, oxidative stress, and the brain-gut axis. Moreover, this paper highlights existing gaps in current researches and outlines directions for future studies. A detailed plan is provided for the future clinical application of saikosaponins, advocating for more targeted researches to speed up its transition from preclinical trials to clinical practice