The Relationship of Money Ethics on Tax Evasion with Intrinsic Religiosity, Extrinsic Religiosity, and Materialism as Moderating Variables (Case on Private Taxpayers Listed in Kpp Pratama Ternate)

This study aims to find out the influence of money ethics on tax evasion with intrinsic religiosity, extrinsic religiosity, and materialism as moderating variables. The sample is selected by using convinience sampling method with sample size of a 100 respondents as primary data. This study uses simple regression and moderated regression analysis for hypothesis testing. The result of this study shows that money ethics has an effect on tax evasion, intrinsic religiosity moderarates the relationship between money ethics and tax evasion. Extrinsic religiosity does not moderate the relationship bertween money ethics and tax evasion. Materialism moderates the relationship between money ethics and tax evasion

Efektivitas Multimedia Interaktif Berbasis Smartphone untuk Pembelajaran Matematika dengan Tatap Muka Terbatas

This research is a type of research and development that aims to develop and test the effectiveness of using smartphone-based interactive multimedia products using smart apps creator (SAC), which was developed through the development of the ADDIE model (Analyze, Design, Development, Implementation, Evaluation). The research subjects were teachers and students of class X IPA 1 SMAN 4 Gorontalo, as many as 28 students. The product is considered suitable for use based on the validity criteria from the assessment of the material, media, and learning design experts. The product is also considered effective based on the learning outcomes of students with a one-group pretest-posttest experimental design. From the results of statistical analysis with the paired sample T-test where the value of  is 12,560 and the value of  is 2,05183, then . So, the hypothesis that there are differences in learning outcomes before using the product and after using the multimedia product is accepted. Then the effectiveness category is determined through the gain score test with the average gain score of 0.62 with a moderate classification and for the average percentage gain score of 62.25% with a fairly effective category

Constructing a Database from Multiple 2D Images for Camera Pose Estimation and Robot Localization

The LMDB (Landmark Database) Builder software identifies persistent image features (landmarks) in a scene viewed multiple times and precisely estimates the landmarks 3D world positions. The software receives as input multiple 2D images of approximately the same scene, along with an initial guess of the camera poses for each image, and a table of features matched pair-wise in each frame. LMDB Builder aggregates landmarks across an arbitrarily large collection of frames with matched features. Range data from stereo vision processing can also be passed to improve the initial guess of the 3D point estimates. The LMDB Builder aggregates feature lists across all frames, manages the process to promote selected features to landmarks, and iteratively calculates the 3D landmark positions using the current camera pose estimations (via an optimal ray projection method), and then improves the camera pose estimates using the 3D landmark positions. Finally, it extracts image patches for each landmark from auto-selected key frames and constructs the landmark database. The landmark database can then be used to estimate future camera poses (and therefore localize a robotic vehicle that may be carrying the cameras) by matching current imagery to landmark database image patches and using the known 3D landmark positions to estimate the current pose

Building a 2.5D Digital Elevation Model from 2D Imagery

When projecting imagery into a georeferenced coordinate frame, one needs to have some model of the geographical region that is being projected to. This model can sometimes be a simple geometrical curve, such as an ellipse or even a plane. However, to obtain accurate projections, one needs to have a more sophisticated model that encodes the undulations in the terrain including things like mountains, valleys, and even manmade structures. The product that is often used for this purpose is a Digital Elevation Model (DEM). The technology presented here generates a high-quality DEM from a collection of 2D images taken from multiple viewpoints, plus pose data for each of the images and a camera model for the sensor. The technology assumes that the images are all of the same region of the environment. The pose data for each image is used as an initial estimate of the geometric relationship between the images, but the pose data is often noisy and not of sufficient quality to build a high-quality DEM. Therefore, the source imagery is passed through a feature-tracking algorithm and multi-plane-homography algorithm, which refine the geometric transforms between images. The images and their refined poses are then passed to a stereo algorithm, which generates dense 3D data for each image in the sequence. The 3D data from each image is then placed into a consistent coordinate frame and passed to a routine that divides the coordinate frame into a number of cells. The 3D points that fall into each cell are collected, and basic statistics are applied to determine the elevation of that cell. The result of this step is a DEM that is in an arbitrary coordinate frame. This DEM is then filtered and smoothed in order to remove small artifacts. The final step in the algorithm is to take the initial DEM and rotate and translate it to be in the world coordinate frame [such as UTM (Universal Transverse Mercator), MGRS (Military Grid Reference System), or geodetic] such that it can be saved in a standard DEM format and used for projection

Automatic Calibration of an Airborne Imaging System to an Inertial Navigation Unit

This software automatically calibrates a camera or an imaging array to an inertial navigation system (INS) that is rigidly mounted to the array or imager. In effect, it recovers the coordinate frame transformation between the reference frame of the imager and the reference frame of the INS. This innovation can automatically derive the camera-to-INS alignment using image data only. The assumption is that the camera fixates on an area while the aircraft flies on orbit. The system then, fully automatically, solves for the camera orientation in the INS frame. No manual intervention or ground tie point data is required

Organizational response to disaster -the case of tsunami, December 2004

The Tsunami struck Sri Lanka on 26th December 2004, causing an enormous devastation of humanlives and property. State and non-state sectors being unprepared and poor coordination of internationaland local assistance left people internally displaced even after one year of the disaster. Using primaryand secondary data, the study assessed the responsiveness of the organizations to the Tsunami disasterin the Galle district and developed a model of action for effective disaster management.The study identified the response levels of the organizations at relief, recovery, reconstruction,rehabilitation and development stages. There was no pre-preparation for a major disaster in Galledistrict. The disaster reliefwas provided by unplanned emergent structures. The prevailing administrativestructures, political institutions, Center for National Operations, Non-governmental organizations,volunteers and community-based groups provided relief for two months. The government establishedthe emergency operation structures for national level coordinationAt the recovery stage community and the private sector organizations have been marginalized in theresponse system. Governmental and NGOs have focused on providing transitional shelters and dryrations. The reconstruction and rehabilitation stages have focused on housing, livelihoods, socialrehabilitation and infrastructure, which were in progress through September 2006. The Galle districtemergency operation center completed the Disaster management plan for the district in July 2005.The parliament of Sri Lanka approved the Sri Lanka Disaster Management Act, No 13 of2005, underwhich the National Disaster Management center has been established.The model identifies organizational structure to coordinate donor assistance and link to communityneeds, through national and local level coordinating institutions with the contribution of different sectorsand with proper monitoring. Getting the vulnerable community to actively participate in disastermanagement activities leading towards development will minimize the damage. Suggestions are madefor specific capacity building measures for the different levels of the institutional model

Real-Time Feature Tracking Using Homography

This software finds feature point correspondences in sequences of images. It is designed for feature matching in aerial imagery. Feature matching is a fundamental step in a number of important image processing operations: calibrating the cameras in a camera array, stabilizing images in aerial movies, geo-registration of images, and generating high-fidelity surface maps from aerial movies. The method uses a Shi-Tomasi corner detector and normalized cross-correlation. This process is likely to result in the production of some mismatches. The feature set is cleaned up using the assumption that there is a large planar patch visible in both images. At high altitude, this assumption is often reasonable. A mathematical transformation, called an homography, is developed that allows us to predict the position in image 2 of any point on the plane in image 1. Any feature pair that is inconsistent with the homography is thrown out. The output of the process is a set of feature pairs, and the homography. The algorithms in this innovation are well known, but the new implementation improves the process in several ways. It runs in real-time at 2 Hz on 64-megapixel imagery. The new Shi-Tomasi corner detector tries to produce the requested number of features by automatically adjusting the minimum distance between found features. The homography-finding code now uses an implementation of the RANSAC algorithm that adjusts the number of iterations automatically to achieve a pre-set probability of missing a set of inliers. The new interface allows the caller to pass in a set of predetermined points in one of the images. This allows the ability to track the same set of points through multiple frames

PEMANFAATAN MODAL SOSIAL DALAM PENGUATAN PROGRAM DESA TANGGUH BENCANA

Undang-Undang Nomor 24 Tahun 2007 tentang Penanggulangan Bencanamengamanatkan untuk melindungi masyarakat dari ancaman bencana.Kebijakan ini juga menjelaskan untuk adanya upaya pengurangan risikobencana berbasis komunitas masyarakat. Nilai-nilai modal sosial yang adapada komunitas masyarakat lokal, dipercaya mampu menjadi modal dasardalam membangun desa tangguh bencana. Tujuan artikel ini adalahmendeskripsikan hasil pelaksanaan kegiatan pengabdian masyarakat di desawakalambe kecamatan kapontori kabupaten buton. Melalui pemetaanterhadap kekuatan modal sosial masyarakat dipergunakan untuk mendukungindikator program desa tangguh bencana (DESTANA). Hasil program inidapat dideskripsikan melalui peran modal sosial masyarakat sebagai bentukpengetahuan lokal, dapat dimanfaatkan sebagai sarana mensosialisasikanpentingnya kesadaran akan potensi bencana di desa. Proses sosialisasidilaksanakan melalui tiga pendekatan yaitu penguatan kelembagaanmasyarakat lokal, pembentukan draft peraturan desa dan kepemimpinankepala desa. Dalam pelaksanaanya, pendekatan ini dipengaruhi olehpengetahuan masyarakat, sarana dan prasarana pendukung program sertaminimnya dukungan kesadaran terhadap bencana pada pendidikanmasyarakat setempat. Keywords: Modal Sosial dan Desa Tangguh Bencana

Adult cardiac surgery during the COVID-19 Pandemic: A Tiered Patient Triage Guidance Statement

In the setting of the current novel coronavirus pandemic, this document has been generated to provide guiding statements for the adult cardiac surgeon to consider in a rapidly evolving national landscape. Acknowledging the risk for a potentially prolonged need for cardiac surgery procedure deferral, the authors have created this proposed template for physicians and interdisciplinary teams to consider in protecting their patients, institution and their highly specialized cardiac surgery team. In addition, recommendations on the transition from traditional in-person patient assessments and outpatient follow-up are provided. Lastly, we advocate that the cardiac surgeon must continue to serve as leaders, experts, and relevant members of our medical community, shifting our role as necessary in this time of need

Effect of vaccine dose on the safety and immunogenicity of a candidate TB vaccine, MVA85A, in BCG vaccinated UK adults.

PURPOSE: A non-randomised, open-label, Phase I safety and immunogenicity dose-finding study to assess the safety and immunogenicity of the candidate TB vaccine Modified Vaccinia virus Ankara expressing Antigen 85A (MVA85A) from Mycobacterium tuberculosis (MTB) in healthy adult volunteers previously vaccinated with BCG. METHODS: Healthy BCG-vaccinated volunteers were vaccinated with either 1×10(7) or 1×10(8)PFU of MVA85A. All adverse events were documented and antigen specific T cell responses were measured using an ex vivo IFN-γ ELISPOT assay. Safety and immunogenicity were compared between the 2 dose groups and with a previous trial in which a dose of 5×10(7)PFU MVA85A had been administered. RESULTS: There were no serious adverse events recorded following administration of either 1×10(7) or 1×10(8)PFU of MVA85A. Systemic adverse events were more frequently reported following administration of 1×10(8)PFU of MVA85A when compared to either 5×10(7) or 1×10(7)PFU of MVA85A but were mild or moderate in severity and resolved completely within 7 days of immunisation. Antigen specific T cell responses as measured by the IFN-γ ELISPOT were significantly higher following immunisation in adults receiving 1×10(8)PFU compared to the 5×10(7) and 1×10(7) doses. Additionally, a broader range of Ag85A epitopes are detected following 1×10(8)PFU of MVA85A. CONCLUSION: A higher dose of 1×10(8)PFU of MVA85A is well-tolerated, increases the frequency of IFN-γ secreting T cells detected following immunisation and broadens the range of Ag85A epitopes detected