A Mining-Based System Framework for Deploying Knowledge Maps of Composite E-Services

Providing e-services and composite e-services on the Internet is an important trend of e-business. Composite e-services are complex processes which consist of various e-services provided by different e-service providers. In such complex environments, the flexibility and success of e-business depend on effective knowledge supports to access related information and resources of composite e-services. This work proposes a knowledge map platform to provide an effective knowledge support for utilizing composite e-services. A mining-based system framework is proposed to construct the knowledge map. Moreover, the proposed knowledge map is integrated with recommendation capability to provide users customized decision support in utilizing composite e-services

Loop Formulas for Description Logic Programs

Description Logic Programs (dl-programs) proposed by Eiter et al. constitute an elegant yet powerful formalism for the integration of answer set programming with description logics, for the Semantic Web. In this paper, we generalize the notions of completion and loop formulas of logic programs to description logic programs and show that the answer sets of a dl-program can be precisely captured by the models of its completion and loop formulas. Furthermore, we propose a new, alternative semantics for dl-programs, called the {\em canonical answer set semantics}, which is defined by the models of completion that satisfy what are called canonical loop formulas. A desirable property of canonical answer sets is that they are free of circular justifications. Some properties of canonical answer sets are also explored.Comment: 29 pages, 1 figures (in pdf), a short version appeared in ICLP'1

Estimation of Sediment Yield and Transportation in a Watershed River Reach Due to Climate Change

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Enhanced Virtual Metrology on Chemical Mechanical Planarization Process using an Integrated Model and Data-Driven Approach

As an essential process in semiconductor manufacturing, Chemical Mechanical Planarization has been studied in recent decades and the material removal rate has been proved to be a critical performance indicator. Comparing with after-process metrology, virtual metrology shows advantages in production time saving and quick response to the process control. This paper presents an enhanced material removal rate prediction algorithm based on an integrated model and data-driven method. The proposed approach combines the physical mechanism and the influence of nearest neighbors, and extracts relevant features. The features are then input to construct multiple regression models, which are integrated to obtain the final prognosis. This method was evaluated by the PHM 2016 Data Challenge data sets and the result obtained the best mean squared error score among competitors

THE INFLUENCE OF THE HAMSTRING MYOFASCIAL RELEASE ON GROUND REACTION FORCE DURING GAIT

The purpose of this study was to investigate the influence of the myofascial release on hamstring during gait in order to inform the clinical management of patients with muscular tightness of hamstring. Sixteen adult subjects with the muscle tightness of hamstring participated in this study. The peak of the vertical ground reaction force before treatment (1.114 body weight) in the stance phase is significantly higher than that (1.065 body weight) after treatment (P=0.007). The peak knee extension moment was significantly decreased across the intervention (0.48 vs. 0.33 Nm/kg, P = 0.019). The understanding of the efficacy of myofascial release on hamstring muscles is helpful to inform the clinical management of patients with muscular tightness of hamstring

Reversible Transient Lesion of the Corpus Callosum Secondary to Meningoencephalitis

A 40-year-old male, presented with right-sided weakness, ataxia, expressive dysphasia and was treated for cerebrovascular accident (CVA). However, he became increasingly confused, disorientated and reported worsening headache along with fevers, photophobia and neck stiffness. On further history, the patient’s family reported the patient as being more confused and incoherent rather than having true ataxia and expressive dysphasia. CSF results were consistent with viral meningoencephalitis and MRI revealed a crescent shaped splenial lesion. He was treated empirically with ceftriaxone and acyclovir. On follow up, he remained symptom free and MRI showed regression of the splenial lesion. Reversible transient splenial lesions of the corpus callosum secondary to viral meningoencephalitis are rarely encountered. This case highlights the importance of exploring different aetiologies of splenial lesions to avoid misdiagnoses with more commonly seen conditions such as CVA

Tuning redox active polyoxometalates for efficient electron‐coupled proton buffer mediated water splitting

We present strategies to tune the redox properties of polyoxometalate clusters to enhance the electron‐coupled proton‐buffer‐mediated water splitting process, in which the evolution of hydrogen and oxygen can occur in different forms and is separated in time and space. By substituting the heteroatom template in the Keggin‐type polyoxometalate cluster, H6ZnW12O40, it is possible to double the number of electrons and protonation in the redox reactions (from two to four). This increase can be achieved with better matching of the energy levels as indicated by the redox potentials, compared to the ones of well‐studied H3PW12O40 and H4SiW12O40. This means that H6ZnW12O40 can act as a high‐performance redox mediator in an electrolytic cell for the on‐demand generation of hydrogen with a high decoupling efficiency of 95.5 % and an electrochemical energy efficiency of 83.3 %. Furthermore, the H6ZnW12O40 cluster also exhibits an excellent cycling behaviour and redox reversibility with almost 100 % H2‐mediated capacity retention during 200 cycles and a high coulombic efficiency >92 % each cycle at 30 mA cm−2