This research presents the fabrication and characterization of an interdigitated capacitive(IDC)sensor on a wooden substrate using pencil traces.The resistance of the pencil traces decreased from 100 kΩto 5 kΩas the pencil grade shifted from HB to 8B.Concurrently,capacitance measurements revealed an increase from approximately 5 pF for a 5-finger IDC made with HB pencil to around 32 pF for an 8B pencil counterpart.Increasing the number of pencil traces from 10 to 50 resulted in a significant decrease in resistance and a proportional increase in capacitance.Application of the IDC sensor demonstrated notable changes in capacitance upon proximity and touch,with a significant decrease upon removal.The interdigitated capacitance sensor exhibits good proximity effects and contact sensitivity in touch,with capacitance increasing exponentially from 0.3 pF(7 cm)to 1.2 pF(direct contact),highlighting its ability to detect objects with high precision.Additionally,environmental factors such as temperature and humidity influence capacitance values.These findings underscore the potential of pencil-drawn IDC sensors for responsive and adaptable applications in various fields.
Proactive Semantic Interference (PSI) and failure to recover from PSI (frPSI), are novel constructs assessed by the LASSI-L. These measures are sensitive to cognitive changes in early Mild Cognitive Impairment (MCI) and preclinical AD determined by Aβ load using PET. The goal of this study was to compare a new computerized version of the LASSI-L (LASSI-Brief Computerized) to the standard paper-and-pencil version of the test. In this study, we examined 110 cognitively unimpaired (CU) older adults and 79 with amnestic MCI (aMCI) who were administered the paper-and-pencil form of the LASSI-L. Their performance was compared with 62 CU older adults and 52 aMCI participants examined using the LASSI-BC. After adjustment for covariates (degree of initial learning, sex, education, and language of evaluation) both the standard and computerized versions distinguished between aMCI and CU participants. The performance of CU and aMCI groups using either form was relatively commensurate. Importantly, an optimal combination of Cued B2 recall and Cued B1 intrusions on the LASSI-BC yielded an area under the ROC curve of .927, a sensitivity of 92.3% and specificity of 88.1%, relative to an area under the ROC curve of .815, a sensitivity of 72.5%, and a specificity of 79.1% obtained for the paper-and-pencil LASSI-L. Overall, the LASSI-BC was comparable, and in some ways, superior to the paper-and-pencil LASSI-L. Advantages of the LASSI-BC include a more standardized administration, suitability for remote assessment, and an automated scoring mechanism that can be verified by a built-in audio recording of responses.
Rosie E. Curiel CidAlexandra OrtegaUbbo VisserMarcela KitaigorodskyD. Diane ZhengDiana HincapieKirsten Horne CrenshawAshleigh BeaulieuBrooke BosworthLiz GallardoEmory NeerSofia RamirezElizabeth A. CroccoMike GeorgiouEfrosyni SfakianakiDavid A. Loewenstein
为提高初中英语教学的针对性和实效性,促进学生英语学科核心素养的形成,以人教版初中《英语》七年级(上)Unit 3 Is this your pencil?为例,探索指向核心素养的初中英语单元教学设计。提出研读课程标准,明确单元主题;强化教学分析,明确教学目标;做好课时安排,构建教学流程;规划教学过程,细化教学内容;围绕学生特点,丰富教学方法;注重评价设计,促进优化改进等策略。
The subsynchronous oscillations(SSOs)related to renewable generation seriously affect the stability and safety of the power systems.To realize the dynamic monitoring of SSOs by utilizing the high computational efficiency and noise-resilient features of the matrix pencil method(MPM),this paper propos es an improved MPM-based parameter identification with syn chrophasors.The MPM is enhanced by the angular frequency fitting equations based on the characteristic polynomial coeffi cients of the matrix pencil to ensure the accuracy of the identi fied parameters,since the existing eigenvalue solution of the MPM ignores the angular frequency conjugation constraints of the two fundamental modes and two oscillation modes.Then,the identification and recovery of bad data are proposed by uti lizing the difference in temporal continuity of the synchropha sors before and after noise reduction.The proposed parameter identification is verified with synthetic,simulated,and actual measured phase measurement unit(PMU)data.Compared with the existing MPM,the improved MPM achieves better accuracy for parameter identification of each component in SSOs,better real-time performance,and significantly reduces the effect of bad data.