Data Analysis on Predicting the Top 12 Fantasy Football Players by Position

Fantasy football enthusiasts rely on rankings populated by their platform of choice to draft winning teams and make strategic roster decisions. This study presents a comprehensive analysis of player performance data to forecast the top 12 fantasy points performers per position for the upcoming season. Leveraging machine learning techniques and historical data, our model identifies key performance indicators and trends to inform player evaluations. Insights gleaned from positional trends, breakout candidates, risk assessment, and matchup analysis offer a competitive edge. By addressing limitations, ethical considerations, and avenues for future research, this study contributes to the advancement of fantasy sports analysis and enhances fan engagement with the NFL and other professional leagues

Analysis of Methodology and Models of Strategic Planning of Local Development in Bosnia and Herzegovina

The paper starts from the premise that local development policy could be seen as a tool for effective management and usage of comparative and competitive advantages in space and time. By applying the centralized administrative model in managing society and economy, Bosnia and Herzegovina is not capable of handling efficient development at national, regional and local level. We believe that there is a need to change the model of social and economic development, taking into consideration that so far negative effects of the erroneously applied strategies and development policies have reached unexpected limits. Strategic planning is an instrument which the managers of local communities may use to make optimum decisions and their implementation. Models of strategic planning represent the need of local community for internationalization and attracting foreign investors, but also the appropriate public sector support offered to the businesses in a particular community in order to conduct their activities in a more efficient way. Priority aims and their actual application to development of local communities are determined by strategic planning and models of strategic planning. We believe that an appropriately adjusted model of strategic planning provides an advantage for local communities in innovative and cooperative approaches to the problems of local government units, with the tendency for defining priority areas and sectors, while different levels of government, scientific and development institutions at local and other levels and civil sectors should be involved in solving these problems. In this paper, we focused on the presentation of models of strategic planning from the practice worldwide, as an efficient means for the implementation of strategic planning processes and using its positive characteristics in order to improve efficiency and effectiveness of local communities. As an example of balance between acceptance and feasibility, we showed the methodology for integrated planning of local development, which the local communities in Bosnia and Herzegovina seek to adopt and implement

Data Analysis on Predicting the Top 12 Fantasy Football Players by Position

Fantasy football enthusiasts rely on rankings populated by their platform of choice to draft winning teams and make strategic roster decisions. This study presents a comprehensive analysis of player performance data to forecast the top 12 fantasy points performers per position for the upcoming season. Leveraging machine learning techniques and historical data, our model identifies key performance indicators and trends to inform player evaluations. Insights gleaned from positional trends, breakout candidates, risk assessment, and matchup analysis offer a competitive edge. By addressing limitations, ethical considerations, and avenues for future research, this study contributes to the advancement of fantasy sports analysis and enhances fan engagement with the NFL and other professional leagues

Translation and Transcultural Validation of Migraine Screening Questionnaire (MS-Q)

Introduction: Between 30 to 59% of patients with migraine without aura are undiagnosed and improperly treated, because primary care physicians are either too busy or unfamiliar with criteria for diagnosing migraine. Aim: The aim of our study was to translate the Migraine Screen Questionnaire (MS-Q) to BHS (Bosnian/Croatian /Serbian) language and to test reliability and validity of the translation on a sample of primary care patients. Material and Methods: The study was designed as cross-sectional, multi centric, diagnostic accuracy trial of an instrument for screening patients who visit general practitioners, with an aim to reveal migraine without aura. The instrument was the MS-Q, originally written in English and validated in Spanish population, and in this study being translated to BHS language. Results: Translation of the MS-Q to BHS language showed good diagnostic accuracy (sensitivity 80.0% and specificity 87.2%) and reliability (Cohen kappa 0.648) for migraine without aura, with significant screening yield among previously undiagnosed patients of 72.7%. The study also confirmed high percentage of patients with hidden MWA (52.9%) revealed by the MS-Q and ICH criteria that would otherwise remain undiagnosed. Conclusion: The MS-Q translation to BHS language could be considered as valid and reliable clinical instrument for revealing migraine without aura, similar by its performance to original questionnaire. It has considerable screening yield, discovering majority of patients with previously undiagnosed migraine without aura, whose definite diagnosis should later on be confirmed by the attending physicians using the ICH criteria