KEY PERFORMANCE INDICATORS. A CASE STUDY ON THE INTEGRATED REPORTS OF AN IT COMPANY

Our analysis relies on the 2011 integrated report published by SAP, a European IT company included in the International Integrated Reporting Committee (IIRC) Pilot Programme Business Network. The research methodology used is the analysis of the content as we search for a number of selected characteristics in the report and also for a set of key performance indicators (KPI). We use as references the guide provided by DVFA (Society of Investment Professionals in Germany) and EFFAS (European Federation of Financial Analysts Societies) – EFFAS (2010) for the software industry. The aim of our study is to analyse the way in which an IT company applies the guidelines recognised by the European Commission to identify and communicate the material nonfinancial information, in order to assess the organization’s abilities to create value on a short, medium and long term

The State-Church Relationship in Post-Communist Romania

Starting from the Romanian edition of Lavinia Stan and Lucian Turcescu’swork Religion and Politics in Post-Communist Romania, we argue in favour of thenecessity to study the relationship between the State and the Romanian OrthodoxChurch using an approach which takes into account the details and the possibleexistent perspectives, bringing a plus of objectivity, which is so needed in a fieldperceived as a sensible one. The arguments put forward will be justified by thehistorical tradition of the State-Church relationship in the Byzantine Empire, but alsoin Romania, as well as by the predominantly Orthodox structure of our country

An Assessment of Treatment Options for Pre-existing Prompt Dependence in Children with Developmental Disabilities

Prior research has focused on identifying effective strategies to prevent prompt dependence from occurring during the training of novel skills. This has been targeted in a variety of ways, including differential reinforcement, prompt fading, and allowing extended response intervals. Current literature has also indicated that the relative efficacy and efficiency of different prompting procedures may be idiosyncratic across learners, suggesting the potential benefit of an individualized assessment. The purpose of the current study was to extend the literature on prompt dependence by comparing interventions for skills for which four participants with developmental disabilities consistently engaged in correct responses following prompts but did not perform independently. This was done using an assessment-based strategy that compared the efficacy and efficiency of differential reinforcement, prompt fading, and extended response interval interventions. The intervention that led to skill mastery first was considered the most efficient procedure for each participant. Results were idiosyncratic across participants, indicating that the most efficacious and efficient intervention for prompt dependence must be determined via assessment-based intervention strategies

Supervision of financial markets

Based on the fundamental role of the market in contemporary economic development, in this study we aim to analyse how the financial markets in Romania are regulated, monitored and, especially supervised, compared to developed or developing European countries, close or far away from the national borders.The study highlights the main trends in the existing financial supervision systems abroad after the 2000s and ends with proposals based on the authors' opinion regarding the best option for the Romanian supervisory model of financial markets

The impact of vertebral osteomyelitis on spinal stability and principles of surgical stabilization: Medical literature review

Vertebral osteomyelitis (VO) is a disease that responds well to conservative treatment and antibiotherapy if diagnosed in an early stage. Due to the prolonged onset of this pathology, many cases are diagnosed in mid or late stages and require surgery. The surgical treatment is not yet standardized and may only mean decompression of the infectious outbreak without stabilization, or surgical decompression associated with stabilization. Using only bone grafts for surgery or stabilizing the spine through segmental posterior and/or anterior instrumentation is accompanied by many controversies. In this review, we focus on demonstrating that combining a well-conducted antibiotherapy with thorough debridement of the necrotic areas and using metal implants for spinal stabilization lowers the infection rates, provides an early pain-free mobilization of the patient and reduces hospitalization costs

NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images

In the past two decades an increasing interest in discovering Near Earth Objects has been noted in the astronomical community. Dedicated surveys have been operated for data acquisition and processing, resulting in the present discovery of over 18.000 objects that are closer than 30 million miles of Earth. Nevertheless, recent events have shown that there still are many undiscovered asteroids that can be on collision course to Earth. This article presents an original NEO detection algorithm developed in the NEARBY research object, that has been integrated into an automated MOPS processing pipeline aimed at identifying moving space objects based on the blink method. Proposed solution can be considered an approach of Big Data processing and analysis, implementing visual analytics techniques for rapid human data validation.Comment: IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Sep 6-8, 2018, Cluj-Napoca, Romani

Incidence of vertebral osteomyelitis and benefits of spinal stabilization in infection: Retrospective analysis of 94 cases in 5 years

In order to evaluate the etiology, characteristics and outcome of the surgical treatment of vertebral osteomyelitis cases in our hospital, patients with vertebral osteomyelitis between January 2014 and December 2018 were included in the study. Clinical and paraclinical data of the patients were collected from the medical records of the patients. Of the 164 patients diagnosed with vertebral osteomyelitis in our clinic 94 underwent surgery and only these last ones were included in the study. Of these 94 patients, 18 cases were diagnosed with tuberculous osteomyelitis and 76 with nontuberculous osteomyelitis. The age of the majority of patients ranged from 40 to 80 years with a peak of incidence between 61-70 years. All of the patients had back pain and regional tenderness of the affected area and many cases presented neurological deficits. The most common involved area affected in our cases was the thoracic spine. Magnetic resonance imaging is the examination that reveals the degree of involvement and excludes other pathologies from the differential diagnosis. The majority of patients had several comorbidities which we included in the study. From all the patients included 76 % underwent surgery with decompression and spinal stabilization using titanium instrumentation and 24 % underwent surgery with only spinal decompression. We also evaluated number hospitalization days of the operated cases. An early diagnosis seems crucial for a fast recovery, lowering the hospitalization costs of both the patient and the hospital and preventing sequelae development.&nbsp

Mary Claire Traxler Gorgan Collection - Accession 1567

The Mary Claire Traxler Gorgan Collection consists of memorabilia collected by Mary Claire Traxler Gorgan (Class of 1975) while she was a student at Winthrop College from 1971-1975 and alumni records concerning Winthrop Class of 1975 reunions. The types of materials in this collection include copies of the student newspaper, The Johnsonian, programs and ticket stubs from events on campus, miscellaneous papers, directories, class schedule manuals, registration manuals, bulletins, memorabilia, and alumni records. Some of the memorabilia in this collection are transferred to University Records under memorabilia (W415.2).https://digitalcommons.winthrop.edu/manuscriptcollection_findingaids/2626/thumbnail.jp

Self-Supervised Representation Learning for Online Handwriting Text Classification

Self-supervised learning offers an efficient way of extracting rich representations from various types of unlabeled data while avoiding the cost of annotating large-scale datasets. This is achievable by designing a pretext task to form pseudo labels with respect to the modality and domain of the data. Given the evolving applications of online handwritten texts, in this study, we propose the novel Part of Stroke Masking (POSM) as a pretext task for pretraining models to extract informative representations from the online handwriting of individuals in English and Chinese languages, along with two suggested pipelines for fine-tuning the pretrained models. To evaluate the quality of the extracted representations, we use both intrinsic and extrinsic evaluation methods. The pretrained models are fine-tuned to achieve state-of-the-art results in tasks such as writer identification, gender classification, and handedness classification, also highlighting the superiority of utilizing the pretrained models over the models trained from scratch