The Effect of Customization Service on Flow Experience and Behavior Intensions in Customer Co-Design Process

Computer Mediated Environments (CMEs) prepared a satisfactory opportunity for providing customization service on line. This characteristics of synchronous and interactive allow designers or enterprises enhance to discover customer s’ demands. Interface design plays a core role and influence customers’ decisions. Yet, the research of this field also has varied investigation about “flow experience”, which considerable attention has been paid in the past to research issues related to motionless state of customization product process in CMEs (e.g. system, technology, and communication tool et al.), a literature on issues of dynamic state has emerged only very slowly and in a more scattered way. It excited the curiosity of this study In this study, we attempt evaluate customization improvements of customer value by content customization and context customization. Further to investigate the relationships between content and context customization, flow experience and behavioral intentions when provide customer co-design service. According the findings, content customization service and context customization service provided enhanced the flow experience occur. Yet, the flow experience was significantly associated with behavior intension

Toward Kansei Engineering Model in Service Design: Interaction for Experience in Virtual Learning Environment

Service design is an emerging trend shifting from product design era. Internet provides effective and efficient service media reaching customer at the exact time. Online media has become social network providing wide opportunity for business, pleasures, and education. This study is focusing on applying kansei engineering model for service design in virtual learning environment (VLE) as learning is concerning with experiencing the process. Various virtual world studies discover that VLE can provide powerful experience in learning. On the other hand, learning styles and learning space potentially enhance experiential learning. Experiential learning theory defines learning process as transformation process from experience to knowledge. Experience is one of important element in service design principle. In addition, experience can be engineered by utilizing kansei engineering approach. Therefore, experience can be designed and engineered to achieve knowledge as service result. This study expected can guide service designers and learning curriculum designer in designing effective experiential learning method. The model developed from the analyzing and reviewing literature shows that kansei engineering can be utilized in experiential transformation process into knowledge and also in service in learning theory context

Tissue-engineered constructs for urethral regeneration

AbstractThose who have urethral injury, long-distance urethral stricture, hypospadias, or epispadias need tissue for urethral repair. Tissue engineering is one of the solutions for urethroplasty. Three components essential for tissue engineering are cells, scaffolds, and bioactive factors. Several animal studies of tissue-engineered urethras have been conducted and progressed to human clinical trials by 1999. These studies have shown that the maximum distance for normal tissue regeneration in tubularized urethral replacement with unseeded matrices is 0.5cm. Although autologous tissue-engineered tabularized urethras have been successful in clinical trials, this method could be an alternative treatment for urethral reconstruction

RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning

Recently, vehicle similarity learning, also called re-identification (ReID), has attracted significant attention in computer vision. Several algorithms have been developed and obtained considerable success. However, most existing methods have unpleasant performance in the hazy scenario due to poor visibility. Though some strategies are possible to resolve this problem, they still have room to be improved due to the limited performance in real-world scenarios and the lack of real-world clear ground truth. Thus, to resolve this problem, inspired by CycleGAN, we construct a training paradigm called \textbf{RVSL} which integrates ReID and domain transformation techniques. The network is trained on semi-supervised fashion and does not require to employ the ID labels and the corresponding clear ground truths to learn hazy vehicle ReID mission in the real-world haze scenes. To further constrain the unsupervised learning process effectively, several losses are developed. Experimental results on synthetic and real-world datasets indicate that the proposed method can achieve state-of-the-art performance on hazy vehicle ReID problems. It is worth mentioning that although the proposed method is trained without real-world label information, it can achieve competitive performance compared to existing supervised methods trained on complete label information.Comment: Accepted by ECCV 202

Acute Viral Hepatitis C-Induced Jaundice in Pregnancy

SummaryObjectiveAcute viral hepatitis C-induced jaundice in pregnancy is very rare and may be fatal. Here, we report a complicated case with acute hepatitis C-induced jaundice in pregnancy with successful managementCase ReportA 27-year-old pregnant woman, gravida 2, para 1, with gestational age of 36 weeks and 5 days, was referred to our hospital due to jaundice and elevated liver enzymes of undetermined cause. She had been suffering from general weakness, diarrhea and vomiting for 1 week, and jaundice with tea-colored urine for 3 days. At our medical center, acute viral hepatitis C-induced jaundice was suspected. Since her general condition deteriorated at 36 weeks and 6 days of gestation, we decided to induce labor. A male baby was born smoothly via the vaginal route, with birth weight 2,857 g, birth length 48.6 cm, and 1- and 5-minute Apgar scores of 7 and 9, respectively. Maternal condition improved dramatically after delivery and her serum liver enzymes and bilirubin levels gradually approached normal ranges.ConclusionMothers and fetuses with acute viral hepatitis C-induced jaundice during pregnancy are at great risk of mortality and morbidity. Timely termination may be one of the choices of treatment when fetal maturity has been reached and the maternal condition has deteriorated

A Study of the Cognition-Action Gap in Knowledge Management

We investigated three types of volitional control mechanisms that may impact people’s knowledge management (KM) practices. Our results show that, when employing KM, people do not always perform in a manner consis- tent with their beliefs concerning attitudes and intentions. This cognition-behavior inconsistency can be ex- plained by volitional control mechanisms. Specifically, both perceived self-efficacy (Bandura 1997) and action control (Kuhl and Bechmänn 1985) play a role in motivating individuals to share and use knowledge, while perceived behavioral control does not. In addition, action/state orientation moderates a person’s enactment of subjective norm and self-efficacy beliefs into intentions just as it moderates enactment of perceived behavioral control belief into behaviors. These results have important theoretical and managerial implication

Successful treatment of an early invasive oral squamous cell carcinoma with topical 5-aminolevulinic acid-mediated photodynamic therapy

Our previous studies showed successful treatment of a series of 36 oral verrucous hyperplasia lesions and of an extensive oral verrucous carcinoma with a topical 5-aminolevulinic acid (ALA)-mediated photodynamic therapy (topical ALA-PDT) protocol (with a fluence rate of 100 mW/cm2 and a light exposure dose of 100 J/cm2) using a 635-nm light-emitting diode (LED) light source. In this case report, we tested whether an enhanced topical ALA-PDT protocol (with a fluence rate of 200 mW/cm2 and a light exposure dose of 200 J/cm2) could be used to treat an early invasive oral squamous cell carcinoma (OSCC) with a verrucous appearance of the left lower posterior edentulous alveolar mucosa of a 67-year-old male former areca-quid chewer and ex-smoker. The main verrucous lesion showed complete regression after eight treatments with PDT. However, 10 extra treatments were needed to eradicate the multiple residual leukoplakia lesions on the edentulous alveolar mucosa. Moderate to severe post-PDT pain was noted during the initial eight treatments, and the patient needed analgesics (codeine phosphate, 30 mg three times daily) to control the pain. No recurrence of the OSCC lesion was found after a follow-up period of 4 years. We suggest that our enhanced topical ALA-PDT protocol may have good potential to be used as a treatment of choice for a superficially invasive OSCC without regional or distant metastasis before the commencement of other effective therapies

Online Multicast Traffic Engineering for Software-Defined Networks

Previous research on SDN traffic engineering mostly focuses on static traffic, whereas dynamic traffic, though more practical, has drawn much less attention. Especially, online SDN multicast that supports IETF dynamic group membership (i.e., any user can join or leave at any time) has not been explored. Different from traditional shortest-path trees (SPT) and graph theoretical Steiner trees (ST), which concentrate on routing one tree at any instant, online SDN multicast traffic engineering is more challenging because it needs to support dynamic group membership and optimize a sequence of correlated trees without the knowledge of future join and leave, whereas the scalability of SDN due to limited TCAM is also crucial. In this paper, therefore, we formulate a new optimization problem, named Online Branch-aware Steiner Tree (OBST), to jointly consider the bandwidth consumption, SDN multicast scalability, and rerouting overhead. We prove that OBST is NP-hard and does not have a $|D_{max}|^{1-\epsilon}$-competitive algorithm for any $\epsilon >0$, where $|D_{max}|$ is the largest group size at any time. We design a $|D_{max}|$-competitive algorithm equipped with the notion of the budget, the deposit, and Reference Tree to achieve the tightest bound. The simulations and implementation on real SDNs with YouTube traffic manifest that the total cost can be reduced by at least 25% compared with SPT and ST, and the computation time is small for massive SDN.Comment: Full version (accepted by INFOCOM 2018