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Google Scholar and academic library discovery systems are both popular resources among academic users for finding scholarly information. By conducting an online survey with 975 users from more than 20 public research universities across the United States, this study comparatively investigates how and why academic users use these two resources. Results show that the ways participants used both resources were similar, and both were perceived as highly "accessible" and "useful." Academic library discovery systems' perceived "comprehensiveness", "subjective norm", "loyalty", and "intended use" were higher than Google Scholar, while Google Scholar's perceived "ease of use", "system quality", and "satisfaction" were higher than that of academic library discovery systems.

In this paper, a temperature compensation method is proposed for active-matrix organic light-emitting diode (AMOLED) displays to achieve high luminance uniformity over a wide operating temperature range. The proposed temperature compensation method compensates for variation in OLED luminance according to temperature by adjusting the gamma voltages. To verify the proposed method, a built-in test circuit, which includes temperature sensors, current calculation block, current adjustment block, and gamma voltage generator, was fabricated using 90 nm complementary metal-oxide semiconductor process technology with 6 V high-voltage devices. The measurement results show that the proposed method achieves a high luminance uniformity with an OLED luminance variation of less than 1.54 cd/m2 over the temperature range of -45°C to 60°C. Therefore, the proposed temperature compensation method is suitable for AMOLED displays requiring high luminance uniformity.

The use of cloud storage, which provides ubiquitous and simultaneous access to files, is prevalent among researchers for their collaborative projects. This study comprehensively examined researchers’ shared file management practices in cloud storage by conducting an online survey with 534 researchers across disciplines. This study uncovered activities that needed better support and possible ways of making shared file management practices more satisfactory by identifying variables associated with satisfaction. The findings revealed different practices and showed that researchers were not active in managing shared files. Among different shared file management activities, finding/re-finding, archiving, and organizing activities needed better support. Researchers’ satisfaction was the highest when their research team had explicit rules for organizing and archiving shared files, when they organized files regularly, used location/organization of the files when finding/re-finding files, and managed shared files frequently. There were only a few disciplinary differences in researchers’ shared file management practices. Some specific design suggestions for PIM tools and applications were made based on the results. This study deepens our understanding of researchers’ shared file management practices in cloud environments, shows possible ways to enhance researchers’ satisfaction, contributes to PIM literature, and informs the design of tools that better support researchers’ shared file management. [ABSTRACT FROM AUTHOR]

In this paper, we propose a compensation method for variations in the subthreshold slope (SS) and threshold voltage (Vth) of the low-temperature polycrystalline silicon thin-film transistors (LTPS TFTs) in an attempt to improve the image quality of the active matrix organic light-emitting diode (AMOLED) displays for mobile applications. The proposed compensation method provides a uniform voltage to the OLED according to the gray level without being affected by variations in the SS and Vth of the LTPS TFTs. To verify the performance of the proposed compensation method, a test pattern, including two pixel circuits designed for 5.7-inch quadruple high-definition AMOLED display was fabricated and measured. The measurement results showed that the proposed compensation method achieved an emission current error of the pixel circuit of only ±3.1 LSB at the 255th gray level. Therefore, the proposed compensation method is very suitable for AMOLED displays requiring high image quality.

This paper proposes a pixel circuit with high resolution and high luminance uniformity for organic light emitting diode-on-silicon (OLEDoS) microdisplays. The proposed pixel circuit employs a simple structure that consists of four n-channel MOSFETs and one capacitor, resulting in high resolution. In addition, this circuit compensates for the threshold voltage (Vth) variation of the driving transistor caused by the body effect, which increases the Vth as the source-to-body voltage of the driving transistor increases, thus reducing the emission current deviation, resulting in a high luminance uniformity. Moreover, the proposed pixel circuit extends the data voltage range using the capacitive coupling of the storage capacitance and the parasitic capacitance at the gate node of the driving transistor to precisely control the emission current. To verify the performance of the proposed pixel circuit, a test pattern with an array of the proposed 4T1C pixel circuits was fabricated on a single-crystalline silicon wafer as a backplane using a 110 nm standard CMOS process with 5.5 V high-voltage devices. The proposed pixel circuit occupies a unit sub-pixel area of 5.76μm × 1.92μm, which corresponds to a resolution of 4410 pixels per inch. The measurement results show that the emission current deviation error of the proposed pixel circuit ranges between -1.16% and +1.14%, which is improved from between -45.97% to +45.42% achieved in the conventional current-source type 2T1C pixel circuit, which does not compensate for the Vth variation of the driving transistor. Moreover, the measured data voltage range of the proposed pixel circuit is extended to 1.618 V, which is 8.17 times wider than that of the conventional pixel circuit. Therefore, the proposed pixel circuit is very suitable for high resolution and high luminance uniformity of OLEDoS microdisplays.

The following study investigates the range of strategies individuals develop to infer and interpret cross-sections of three-dimensional objects. We focus on the identification of mental representations and problem-solving processes made by 11 individuals with the goal of building training applications that integrate the strategies developed by the participants in our study. Our results suggest that although spatial transformation and perspective-taking techniques are useful for visualizing cross-section problems, these visual processes are augmented by analytical thinking. Further, our study shows that participants employ general analytic strategies for extended periods which evolve through practice into a set of progressively more expert strategies. Theoretical implications are discussed and five main findings are recommended for integration into the design of education software that facilitates visual learning and comprehension.