Post-socialist urban growth of Bucharest, Romania – a change detection analysis on Landsat imagery (1984–2010)

In this study, Bucharest, the capital city of Romania was selected as a case study. Based on time series of Landsat TM imagery and statistical data, an analysis on urban growth from 1984 to 2010 was performed, using an integrated approach of remote sensing and GIS techniques. The land cover data were validated by CORINE Land Cover maps. The results revealed that rapid urban growth of the Bucharest region led to accelerated land use conversion from cropland to built-up land. The processes of deindustrialization in the core city and industrialization to the ring road represent other driving factors for spatiotemporal pattern of built-up land. The paper will discuss these processes and their impact on economic growth and residential suburbanization of the studied region

INTERNAL CONTROL MECHANISMS IN THE CONTEXT OF THE CHALENGE FINANCIAL CRISIS

Prevention and earlier detection of fraudulent financial reporting must start with the entity that prepares financial reports. Thus the first focus of the Sarbannes-Oxley Actâ€(tm)s recommendations is the public company. These recommendations, taken together, will improve a company's overall financial reporting process and increase the likelihood of preventing fraudulent financial reporting and detecting it earlier when it occurs. For some companies, implementing these recommendations will require little or even no change from current practices; for other companies, it will mean adding or improving a recommended practice. Whether it means adding or improving a practice, the benefits justify the costs. The Sarbanes-Oxley Act is a direct response to the recent scandals in the US corporate world. Governance, compliance, risks and internal controls are mounting concerns for almost all organizations. As the numbers of rules, regulations and contractual obligations steadily rise, management is growing more and more concerned about their exposure on day-to-day operational decisions!fraud, internal control, COSO, risks based audit

LAPI @ 2016 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective

ABSTRACT In this paper we present the results achieved during the 2016 MediaEval Retrieving Diverse Social Images Task, using an approach based on pseudo-relevance feedback, in which human feedback is replaced by an automatic selection of images. The proposed approach is designed to have in priority the diversification of the results, in contrast to most of the existing techniques that address only the relevance. Diversification is achieved by exploiting a hierarchical clustering scheme followed by a diversification strategy. Methods are tested on the benchmarking data and results are analyzed. Insights for future work conclude the paper

The evolution of CT diagnosed papillae tip microcalcifications: can we predict the development of stones?

OBJECTIVES: To determine the incidence of computed tomography (CT) identifiable Randall plaques in a CT explored population; to determine the clinical relevance of this radiological finding by a 7-year follow-up; to determine a cut point to identify a population with high risk of developing calcium stone disease (SD). MATERIALS AND METHODS: Retrospective study of all patients explored by abdominal CT in our center between January and March 2005. INCLUSION CRITERIA: age 30-60 years and no SD. Papillae attenuation was measured on nonenhanced CT in Hounsfield units (HU) and the mean of all papillae was calculated. Patients were re-evaluated after 7 years to identify calcium stone formers. Anamnesis and already available CT, ultrasound, kidney, ureter, and bladder radiograph (KUB) or intravenous urography (IVU) images performed as part of their follow-up were used. In patients with no follow-up, ultrasound and KUB were to be performed. Pearson correlation, Student t-test, and the receiver operator curve were used for statistical analysis. RESULTS: A total of 362 patients fulfilled the inclusion criteria and were analyzed; 12 developed calcium SD after 7 years. A significant difference was encountered between the papillae attenuation of stone formers (SF) versus non-SF (47.2HU vs. 35.5HU, p=0.001). There was good correlation between papillae attenuation and the possibility of developing SD (R=0.87). An optimal cut point of 43HU with a sensitivity of 81% and specificity of 97%, area under the curve 0.91, separated SF and non-SF. CONCLUSION: Patients with high papillae density have a higher risk of developing SD. A cut point of 43HU could accurately be used to identify a high-risk population

Determining the influence of dynamic balance in the technical training in football game at U13 level

Background and Study Aim. Technical training in football plays an important part in scoring goals. Precise movements can become the key to victory in a match. Among the principal factors determining the accuracy of shooting or kicking the ball is balance. The study aims to determine the influence of dynamic balance on technical training in U13 football. Material and Methods. A group of 26 football players from Otopeni Sports Club (Romania), aged 12-13 years, in the U13 category, participated in this study. Dynamic balance was assessed using the Sensamove MiniBoard platform with tests including: Lateral bipedal balance (LBB), Vertical bipedal balance (VBB), and Vertical unipedal balance for both right (VBRL) and left (VBLL) legs. Technical training was evaluated using tests recommended by the Romanian Football Federation: instep kick from 9 m (Test 1, points), outside kick in 30 sec. (Test 2, points), and 20 m long pass (Test 3, points). Pearson’s correlation coefficient was used to analyze the relationship between dynamic balance (lateral and vertical bipedal, and vertical unipedal for both legs) and technical training in U13 footballers. Results. The analysis of the comparative results between LBB and VBB variables reveals better performances by 9.2% at VBB. There are lower values of the vertical deviations mean by 2.9 degrees forward at LBB and by -2.8 degrees backward. The mean of lateral deviations is lower by -2.7 degrees to the left at VBB and by 3.3 degrees to the right. The comparative results between VBRL and VBLL variables show better performances by 0.3% at VBRL. The values of the vertical deviations mean are lower by 0.5 degrees forward at VBRL and 0.3 degrees backward. The mean of the lateral deviations (left-right) have equal values. Analyzing the performances obtained in technical tests highlights 22.2% (estimated maximum score) at instep kick, 62.5% (individual maximum value) at outside kick and 34.5% (estimated maximum value) at 20 m long pass. The influence of dynamic balance on technical training shows 60.7% positive connections and 39.3% negative ones between LBB and VBB variables. As for VBRL and VBLL variables, there are 67.9% positive connections and 32.1% negative connections between them. Conclusions. The weighting of values at performance and maintaining in space was highlighted. The mean of front-back and left-right deviations in bipedal and unipedal balance has lower values. The technical performances obtained were compared with the estimated maximum score and the individual maximum value. An increased number of positive connections to balance performance variables and of negative connections to the mean of deviations was noticed. This fact contributed to determining the degree of influence on the investigated variables. The findings can serve as a recommendation for future research

Overview of The MediaEval 2022 Predicting Video Memorability Task

This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2022. This year we have reorganised and simplified the task in order to lubricate a greater depth of inquiry. Similar to last year, two datasets are provided in order to facilitate generalisation, however, this year we have replaced the TRECVid2019 Video-to-Text dataset with the VideoMem dataset in order to remedy underlying data quality issues, and to prioritise short-term memorability prediction by elevating the Memento10k dataset as the primary dataset. Additionally, a fully fledged electroencephalography (EEG)-based prediction sub-task is introduced. In this paper, we outline the core facets of the task and its constituent sub-tasks; describing the datasets, evaluation metrics, and requirements for participant submissions.Comment: 6 pages. In: MediaEval Multimedia Benchmark Workshop Working Notes, 202

Overview of MediaEval 2020 Predicting Media Memorability task: What does it Make a Video Memorable?

This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 3rd edition this year, as the prediction of short-term and long-term video memorability (VM) remains a challenging task. In 2020, the format remained the same as in previous editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text dataset, containing more action rich video content as compared with the 2019 task. In this paper a description of some aspects of this task is provided, including its main characteristics, a description of the collection, the ground truth dataset, evaluation metrics and the requirements for participants’ run submissions

Overview of MediaEval 2020 predicting media memorability task: what makes a video memorable?

This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 3rd edition this year, as the prediction of short-term and long-term video memorability (VM) remains a challenging task. In 2020, the format remained the same as in previous editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text dataset, containing more action rich video content as compared with the 2019 task. In this paper a description of some aspects of this task is provided, including its main characteristics, a description of the collection, the ground truth dataset, evaluation metrics and the requirements for participants’ run submissions

An annotated video dataset for computing video memorability

Using a collection of publicly available links to short form video clips of an average of 6 seconds duration each, 1,275 users manually annotated each video multiple times to indicate both long-term and short-term memorability of the videos. The annotations were gathered as part of an online memory game and measured a participant’s ability to recall having seen the video previously when shown a collection of videos. The recognition tasks were performed on videos seen within the previous few minutes for short-term memorability and within the previous 24 to 72 hours for long-term memorability. Data includes the reaction times for each recognition of each video. Associated with each video are text descriptions (captions) as well as a collection of image-level features applied to 3 frames extracted from each video (start, middle and end). Video-level features are also provided. The dataset was used in the Video Memorability task as part of the MediaEval benchmark in 2020

An annotated video dataset for computing video memorability

Using a collection of publicly available links to short form video clips of an average of 6 seconds duration each, 1275 users manually annotated each video multiple times to indicate both long-term and short-term memorability of the videos. The annotations were gathered as part of an online memory game and measured a participant’s ability to recall having seen the video previously when shown a collection of videos. The recognition tasks were performed on videos seen within the previous few minutes for short-term memorability and within the previous 24 to 72 hours for long-term memorability. Data includes the reaction times for each recognition of each video. Associated with each video are text descriptions (captions) as well as a collection of image-level features applied to 3 frames extracted from each video (start, middle and end). Video-level features are also provided. The dataset was used in the Video Memorability task as part of the MediaEval benchmark in 2020