KOBu-Promoted, Three-Component Domino Reaction of Arenes(indoles/phenols), C, and (Per/poly)fluoroarenes: Achieving Direct C-C Cross-Coupling of Fullerene with (Per/poly)fluoroarenes.

A KOBu-promoted, three-component cross-coupling of arenes(indoles/phenols), C, and (per/poly)fluoroarenes has been established for the one-pot efficient synthesis of various 1,4-arene-bridged bis(polyfluoroaryl)-functionalized [60]fullerenes. This developed reaction system demonstrates good functional group compatibilities with broad substrate scope, which exhibits high regio- and chemoselectivities. Further control experiment succeeded in providing a one-pot protocol for the synthesis of various 1,2--(per/poly)fluoroarene-substituted 1,2-(3-indole)(hydro)fullerenes.

A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data.

Buildings account for a majority of the primary energy consumption of the human society, therefore, analyses of building energy consumption monitoring data are of significance to the discovery of anomalous energy usage patterns, saving of building utility expenditures, and contribution to the greater environmental protection effort. This paper presents a unified framework for the automatic extraction and integration of building energy consumption data from heterogeneous building management systems, along with building static data from building information models to serve analysis applications. This paper also proposes a diagnosis framework based on density-based clustering and artificial neural network regression using the integrated data to identify anomalous energy usages.

Bibliometric review of visual computing in the construction industry.

In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and store information. Advanced visual computing techniques facilitate the understanding of design contents, work plans, and other types of information shared in the construction industry. Automatic visual data collection and analysis provide many possibilities to the construction industry and a large number of works have investigated how visual computing can improve construction management processes and other problems in the construction area.

A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data.

The fault diagnosis of dimensional variation plays an essential role in the production of an automotive body. However, it is difficult to identify faults based on small labeled sample data using traditional supervised learning methods. The present study proposed a novel feature extraction method named, semi-supervised complete kernel Fisher discriminant (SS-CKFDA), and a new fault diagnosis flow for automotive assembly was introduced based on this method.

[Design of an embedded cancer pain-reliever based on ARM].

This paper introduces a design for an embedded cancer pain-reliever based on ARM. In this pain-reliever, ARM7 S3C44B0 is CPU, CPLD generates precise waves, DC-DC boost convertor generates high voltage and it has a secondary music-therapy function.

Correlation character of ionic current fluctuations in cell membrane ion channels.

The gating of ion channels has widely been modeled by assuming the transition between open and closed states is a memoryless process. Nevertheless, the statistical analysis of an ionic current signal recorded from voltage dependence K single channel is presented. Calculating the sample autocorrelation function of the ionic current based on the digitized signals, rather than the sequence of open and closed states durations time.

[The development of the preamplifier for the microcomputer-detecting system of 3-channel ECG signals].

This paper introduces the preamplifier for the microcomputer-detecting system of 3-Channel ECG signals and its technical specifications. The practical experiments and clinical applications show that its performances conforms with all the requirements of the system.

Correlation character of ionic current fluctuations: analysis of ion current through a voltage-dependent potassium single channel.

The gating of ion channels has widely been modeled by assuming the transition between open and closed states is a memoryless process. Nevertheless, the statistical analysis of an ionic current signal recorded from voltage dependence K(+) single channel is presented. Calculating the sample auto-correlation function of the ionic current based on the digitized signals, rather than the sequence of open and closed states duration time.

Gating kinetics of potassium channel in rat dorsal root ganglion neurons analyzed with fractal model.

The kinetics of ion channels have been widely modeled as a Markov process. In these models it is assumed that the channel protein has a small number of discrete conformational states and kinetic rate constants connecting these states are constant. To study the gating kinetics of voltage-dependent K(+) channel in rat dorsal root ganglion neurons, K(+) channel current were recorded using cell-attached patch-clamp technique.

Rescaled range analysis applied to the study delayed rectifier potassium channel kinetics.

The gating of ion channels has widely been modeled by assuming that the transitions between open and closed states are a memoryless process. Nevertheless, analysis of records of unitary current events suggests that the kinetic process presents long lags (antipersistent correlation). Here, using the patch-voltage clamp technique and the rescaled range method, activity of single-channel delayed rectifier K(+) channels was studied.