Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions. Despite effectiveness, FM can be hindered by its modelling of all feature interactions with the same weight, as not all feature interactions are equally useful and predictive. For example, the interactions with useless features may even introduce noises and adversely degrade the performance. In this work, we improve FM by discriminating the importance of different feature interactions. We propose a novel model named Attentional Factorization Machine (AFM), which learns the importance of each feature interaction from data via a neural attention network. Extensive experiments on two real-world datasets demonstrate the effectiveness of AFM. Empirically, it is shown on regression task AFM betters FM with a $8.6\%$ relative improvement, and consistently outperforms the state-of-the-art deep learning methods Wide&Deep and DeepCross with a much simpler structure and fewer model parameters. Our implementation of AFM is publicly available at: https://github.com/hexiangnan/attentional_factorization_machineComment: 7 pages, 5 figure

Density alteration in non-physiological cells

In the present study an important phenomenon of cells was discovered: the change of intracellular density in cell's response to drug and environmental factors. For convenience, this phenomenon is named as "density alteration in non-physiological cells" ( DANCE). DANCE was determined by discontinuous sucrose gradient centrifugation (DSGC), in which cells were separated into several bands. The number and position of the bands in DSGC varied with the change of cell culture conditions, drugs, and physical process, indicating that cell's response to these factors was associated with alteration of intracellular density. Our results showed that the bands of cells were molecularly different from each other, such as the expression of some mRNAs. For most cells tested, intracellular density usually decreased when the cells were in bad conditions, in presence of drugs, or undergoing pathological changes. However, unlike other tissue cells, brain cells showed increased intracellular density in 24 hrs after the animal death. In addition, DANCE was found to be related to drug resistance, with higher drug-resistance in cells of lower intracellular density. Further study found that DANCE also occurred in microorganisms including bacteria and fungus, suggesting that DANCE might be a sensitive and general response of cells to drugs and environmental change. The mechanisms for DANCE are not clear. Based on our study the following causes were hypothesized: change of metabolism mode, change of cell membrane function, and pathological change. DANCE could be important in medical and biological sciences. Study of DANCE might be helpful to the understanding of drug resistance, development of new drugs, separation of new subtypes from a cell population, forensic analysis, and importantly, discovery of new physiological or pathological properties of cells

护理行为干预在腹部手术后疼痛护理中的应用

Objective: To investigate the effect of behavioral intervention for the post-operation pain in abdomen. Methods: Forty patients from the county hospital during October 2013 to January 2014 were selected as the observation objects and randomly divided into two groups, intervention group and control groups with 20 patients in each．The control group received conventional general care and the intervention group received nursing behavior interventions，including, the effective evaluation of pain, improvement of health education, strengthening of physical intervention, psychological intervention and psychosocial intervention etc. Two sets of VAS scores and nursing intervention effects were analyzed with statistical methods. Results: After taking nursing behavior interventions，the intervention group had significantly lower VAS scores，and lower level was more significant than that in the control group，The difference has statistically significant P<0.05)．The intervention group has higher satisfaction for nursing service. Conclusion: The implementation of nursing behavior interventions can significantly relieve the patient pain, improve the postoperative analgesic treatment effect, and raise the quality of nursing and the comfort and satisfaction of the patients. Thereby reducing the incidence of postoperative complications, and promoting the patient recover. 目的 探讨护理行为干预对腹部手术后患者疼痛程度的影响。方法 选择某县人民医院2013年10月—2014年1月腹部手术后的部分患者作为实验对象，通过实验对照的方式，收集资料，随机抽取40名腹部手术后的患者分为对照组和实验组，每组各20人，对照组在实施腹部手术后采取常规的护理措施，实验组进行护理行为干预（有效的评估疼痛、完善健康教育、加强生理干预、心理干预及社会心理干预），应用统计学方法对比分析两组VAS评分及护理干预效果。结果 通过护理行为干预措施后，干预组患者的VAS评分明显降低，且降低程度较对照组更明显，差异有统计学意义(P<0.05)。干预组患者对护理服务满意度高。结论 护理行为干预能减轻腹部手术后患者的疼痛，提高术后镇痛治疗效果，提高患者的舒适度和满意度，增强患者对疼痛的耐受力，从而减少术后并发症的发生，促进患者恢复健康