Investigasi Pengetahuan, Keterampilan Dan Implementasi Teknologi Informasi Dan Komunikasi (TIK) Guru Matematika SMA/MA Di Kabupaten Tanjung Jabung Barat

The development of science and information technology has changed paradigm of learning from conventional (teacher – centered) to a learning based on information and communication technology (ICT). This shift affects the teacher roles from information resources and expert in conventional teaching into facilitator, guidance an organizer in multimedia based teaching. Therefore, teachers should be able to utilize and integrate ICT. So, teachers have to have knowledge, skills and able to implement ICT in the teaching of their subjects. The purposes of this research are to measure ICT knowledge, skill and its implementation in mathematics teaching and to identify factors and obstacles affecting math teachers use ICT in the classroom of senior high school in Tanjung Jabung Barat. The method of this research is quantitative research by using descriptive analysis. Data were collected using questionnaire of teachers knowledge, skill and implementation ICT. The research populations are mathematics teachers of senior high school in Tanjung Jabung Barat and all are as the sample of this research. This is because the total populations are relatively small. The result of this research showed that the levels of teacher's knowledge and implementation are both ‘low', while teacher skill is at ‘medium' level. From the background of respondents involving the status of civil servant, experience, gender, age and workshop or ICT course, it seems doesn't effect the teachers competence. The obstacles that affect teacher in using ICT for teaching is lack of ICT facilities at school

A Digitally Programmable Active-RC Filter for On-Chip Portable Sensor Applications

An enhanced digital tuning approach for RC-active circuits is presented. Simulations of a 12-bit CMOS second-order filter provide a 11.46-bit effective resolution to linearly control the frequency over three decades with THD<-70 dB. Its low power, 0.5 mW, and low active area, 0.087 mm2, prove its suitability for on-chip sensing systems

Towards Normalizing the Edit Distance Using a Genetic Algorithms Based Scheme

The normalized edit distance is one of the distances derived from the edit distance. It is useful in some applications because it takes into account the lengths of the two strings compared. The normalized edit distance is not defined in terms of edit operations but rather in terms of the edit path. In this paper we propose a new derivative of the edit distance that also takes into consideration the lengths of the two strings, but the new distance is related directly to the edit distance. The particularity of the new distance is that it uses the genetic algorithms to set the values of the parameters it uses. We conduct experiments to test the new distance and we obtain promising results.Comment: The 8th International Conference on Advanced Data Mining and Applications (ADMA 2012

Human or Computer Assisted Interactive Transcription: Automated Text Recognition, Text Annotation, and Scholarly Edition in the Twenty-First Century

Computer assisted transcription tools can speed up the initial process of reading and transcribing texts. At the same time, new annotation tools open new ways of accessing the text in its graphical form. The balance and value of each method still needs to be explored. STATE, a complete assisted transcription system for ancient documents, was presented to the audience of the 2013 International Medieval Congress at Leeds. The system offers a multimodal interaction environment to assist humans in transcribing ancient documents: the user can type, write on the screen with a stylus, or utter a word. When one of these actions is used to correct an erroneous word, the system uses this new information to look for other mistakes in the rest of the line. The system is modular, composed of different parts: one part creates projects from a set of images of documents, another part controls an automatic transcription system, and the third part allows the user to interact with the transcriptions and easily correct them as needed. This division of labour allows great flexibility for organising the work in a team of transcribers.Las herramientas de ayuda a la transcripción automática pueden acelerar el proceso inicial de la lectura y transcripción de textos. Al mismo tiempo, las nuevas herramientas de anotación aportan nuevas formas de acceder al texto en su forma original gráfica. Sin embargo, todavía es necesario evaluar las bondades y capacidades de los distintos métodos. STATE, un completo sistema de asistencia a la transcripción de documentos antiguos, se presentó a la audiencia del International Medieval Congress de 2013 celebrado en Leeds. El sistema ofrece un entorno de interacción multimodal para ayudar a las personas en la transcripción de documentos antiguos: el usuario puede teclear, escribir en la pantalla con un lápiz óptico o corregir usando la voz. Cada vez que el usuario cambia de esta forma una palabra, el sistema utiliza la corrección para buscar errores en el resto de la línea. El sistema está dividido en diferentes módulos: uno crea proyectos a partir de un conjunto de imágenes de documentos, otro módulo controla el sistema de transcripción automática, y un tercer módulo permite al usuario interactuar con las transcripciones y corregirlas fácilmente cuando sea necesario. Esta división de las tareas permite una gran flexibilidad para organizar el trabajo de los transcriptores en equipo

Circumventing Traditional Conditioning Protocols in Polymer Membrane-Based Ion-Selective Electrodes

Preparation of ion-selective electrodes (ISEs) often requires long and complicated conditioning protocols limiting their application as tools for in-field measurements. Herein, we eliminated the need for electrode conditioning by loading the membrane cocktail directly with primary ion solution. This proof of concept experiment was performed with iodide, silver, and sodium selective electrodes. The proposed methodology significantly shortened the preparation time of ISEs, yielding functional electrodes with submicromolar detection limits. Moreover, it is anticipated that this approach may form the basis for the development of miniaturized all-solid-state ion-selective electrodes for in situ measurements

Altered sleep and neurovascular dysfunction in alpha-synucleinopathies: the perfect storm for glymphatic failure

Clinical and cognitive progression in alpha-synucleinopathies is highly heterogeneous. While some patients remain stable over long periods of time, other suffer early dementia or fast motor deterioration. Sleep disturbances and nocturnal blood pressure abnormalities have been identified as independent risk factors for clinical progression but a mechanistic explanation linking both aspects is lacking. We hypothesize that impaired glymphatic system might play a key role on clinical progression. Glymphatic system clears brain waste during specific sleep stages, being blood pressure the motive force that propels the interstitial fluid through brain tissue to remove protein waste. Thus, the combination of severe sleep alterations, such as REM sleep behavioral disorder, and lack of the physiological nocturnal decrease of blood pressure due to severe dysautonomia may constitute the perfect storm for glymphatic failure, causing increased abnormal protein aggregation and spreading. In Lewy body disorders (Parkinson’s disease and dementia with Lewy bodies) the increment of intraneuronal alpha-synuclein and extracellular amyloid-β would lead to cognitive deterioration, while in multisystemic atrophy, increased pathology in oligodendroglia would relate to the faster and malignant motor progression. We present a research model that may help in developing studies aiming to elucidate the role of glymphatic function and associated factors mainly in alpha-synucleinopathies, but that could be relevant also for other protein accumulation-related neurodegenerative diseases. If the model is proven to be useful could open new lines for treatments targeting glymphatic function (for example through control of nocturnal blood pressure) with the objective to ameliorate cognitive and motor progression in alpha-synucleinopathies

Assessing Multivariate Constraints to Evolution across Ten Long-Term Avian Studies

Background In a rapidly changing world, it is of fundamental importance to understand processes constraining or facilitating adaptation through microevolution. As different traits of an organism covary, genetic correlations are expected to affect evolutionary trajectories. However, only limited empirical data are available. Methodology/Principal Findings We investigate the extent to which multivariate constraints affect the rate of adaptation, focusing on four morphological traits often shown to harbour large amounts of genetic variance and considered to be subject to limited evolutionary constraints. Our data set includes unique long-term data for seven bird species and a total of 10 populations. We estimate population-specific matrices of genetic correlations and multivariate selection coefficients to predict evolutionary responses to selection. Using Bayesian methods that facilitate the propagation of errors in estimates, we compare (1) the rate of adaptation based on predicted response to selection when including genetic correlations with predictions from models where these genetic correlations were set to zero and (2) the multivariate evolvability in the direction of current selection to the average evolvability in random directions of the phenotypic space. We show that genetic correlations on average decrease the predicted rate of adaptation by 28%. Multivariate evolvability in the direction of current selection was systematically lower than average evolvability in random directions of space. These significant reductions in the rate of adaptation and reduced evolvability were due to a general nonalignment of selection and genetic variance, notably orthogonality of directional selection with the size axis along which most (60%) of the genetic variance is found. Conclusions These results suggest that genetic correlations can impose significant constraints on the evolution of avian morphology in wild populations. This could have important impacts on evolutionary dynamics and hence population persistence in the face of rapid environmental change

A CMOS Quadrature Signal Generator for Impedance Spectroscopy Measurement Systems

A CMOS fully integrated quadrature signal generator for on-chip impedance spectroscopy (IS) applications is presented. Frequency can be digitally tuned from 5 to 350 kHz with 12-bit resolution. Power consumption is 0.77 mW and active area is 0.129 mm2. Its suitability for the target application is validated with a Randles test impedance cell modelling a protein.Se presenta un generador de señales en cuadratura CMOS completamente integrado para aplicaciones de espectroscopía de impedancia en chip. La frecuencia puede controlarse digitalmente entre 5 y 350 kHz con una resolución de 12 bits. El consumo de potencia es de 0.77 mW y el área activa es 0.129 mm2. Su idoneidad para la aplicación objetivo se valida con una impedancia de test (celda de Randles) que modela una proteina