12 research outputs found

    Helsinki Startup City Guide

    No full text
    This thesis is a product-oriented thesis. The aim of the thesis is to create valuable and quality content for the commissioning party, StartUs. The content is educational and takes form as a guide. The guide was done with the support of Haaga-Helia StartUp School. The theoretical framework consists of startup and content marketing theory, and is essential in providing the reader of this thesis the understanding of why the guide is important for the commissioning party and its target audience. Defining a startup can be tricky as there are several different definitions to what is a startup. In addition, not all startups are alike as there are multiple types of startups each of its own goals and definition of success. All of the startup types can benefit from incorporating lean startup methodologies. Some of the core principles of the lean startup methodology are Customer Development and the build-measure-learn loop both of which ultimately allow startups to avoid failing and creating a greater demand for their product or service through the understanding of the true needs of the customers. Nowadays, content marketing is imperative for a company in order to gain visibility and reach the right audience. In order to stand out from competitors and achieve the attention of consumers and fulfill the company’s business goals, relevant and valuable content must be produced and distributed. The product of this thesis is the Helsinki Startup City Guide. It is a practical guide for startup enthusiasts and everyone interested and considering to establish a startup company in Helsinki. The guide lists the most relevant information one must know about the startup ecosystem of Helsinki. This thesis and the product were produced within three weeks due to limited time constraints. Both the author and the commissioning parties are pleased with the end result of the product

    Analyzing Spatial Trends of Precipitation Using Gridded Data in the Fez-Meknes Region, Morocco

    No full text
    The aim of this paper was to present a precipitation trend analysis using gridded data at annual, seasonal and monthly time scales over the Fez-Meknes region (northern Morocco) for the period 1961–2019. Our results showed a general decreasing trend at an annual scale, especially over the mountain and the wetter parts of the region, which was statistically significant in 72% of the grid points, ranging down to −30 mm per decade. A general upward trend during autumn, but still non-significant in 95% of the grid points, was detected, while during winter, significant negative trends were observed in the southwest (−10 to −20 mm per decade) and northeast areas (more than −20 mm per decade) of the region. Spring rainfall significantly decreased in 86% of the grid points, with values of this trend ranging between 0 and −5 mm per decade in the upper Moulouya and −5 to −10 mm per decade over the rest of the region (except the northwest). At a monthly time scale, significant negative trends were recorded during December, February, March and April, primarily over the northeast Middle Atlas and the northwest tip of the region, while a significant upward trend was observed during the month of August, especially in the Middle Atlas. These results could help decision makers understand rainfall variability within the region and work out proper plans while taking into account the effects of climate change

    Wavelet Analysis for Studying Rainfall Variability and Regionalizing Data: An Applied Study of the Moulouya Watershed in Morocco

    No full text
    This study analyzes the spatiotemporal variability of precipitation at the scale of the Moulouya watershed in eastern Morocco, which is very vulnerable to the increasing water shortage. For this purpose, we opted for wavelet transformation, a method based on the spectral analysis of data which allows for periodic components of a rainfall time series to change with time. The results obtained from this work show spectral power across five frequency ranges of variability: 1 to 2 years, 2 to 4 years, 4 to 8 years, 8 to 16 years, and 16 to 32 years. The duration of significant power at these frequencies is generally not homogeneous and varies from station to station. The most widespread frequency over the entire study area was found in the 4- to 8-year range. This mode of variability can last up to 27 consecutive years. In most of the basin, this mode of variability was observed around the period between 1990 and 2010. Oscillations at 8 to 16 years in frequency appear in only five series and over different time periods. The 16- to 32-year mode of variability appears in 15 stations and extends over the period from 1983 to 2008. At this level, signal strength is very weak compared to other higher-frequency modes of variability. On the other hand, the mode of variability at the 1- to 2-year frequency range appeared to be continuous in some stations and intermittent in others. This allowed us to regionalize our study basin into two homogeneous clusters that only differ in variability and rainfall regime

    Monthly Precipitation over Northern Middle Atlas, Eastern Morocco: Homogenization and Trends

    No full text
    The lack of a complete and reliable data series often represents the main difficulty in carrying out climate studies. Diverse causes, such as human and instrumental errors, false and incomplete records, and the use of obsolete equipment in some meteorological stations, give rise to inhomogeneities that do not represent climatic reality. This work in the northern part of the Moroccan Middle Atlas used 22 meteorological stations with sometimes-incomplete monthly precipitation data from 1970 to 2019. The homogenization and estimation of the missing data were carried out with the R software package Climatol version 3.1.1. The trends in the series were quantified by the Mann–Kendall nonparametric test. The results obtained show a low root mean square error (RMSE), between the original and homogenized data, of between 0.5 and 38.7 mm per month, with an average of 8.5 mm. Rainfall trends for the months of December through June are generally downward. These negative trends are significantly stronger in the southern and eastern parts of the study area, especially during the month of April (the wettest month). On the other hand, July shows positive trends, with 71% of stations having an increasing precipitation tendency, although only five (or 1/3) of these are statistically significant. From August to November, generally positive trends were also observed. For these months, the percentage of series with a positive and significant trend varied between 55 and 77%

    Homogenization and Trends Analysis of Monthly Precipitation Series in the Fez-Meknes Region, Morocco

    No full text
    High quality and long-term precipitation data are required to study the variability and trends of rainfall and the impact of climate change. In developing countries like Morocco, the quality of climate data collected from various weather stations faces numerous obstacles. This paper presents methods for collecting, correcting, reconstructing, and homogenizing precipitation series of Morocco’s Fez-Meknes region from 1961 to 2019. Data collected from national specialized agencies based on 83 rain gauge stations was processed through an algorithm specially designed for the homogenization of climatic data (Climatol). We applied the Mann-Kendall test and Sen’s slope estimator to raw and homogenized data to calculate rainfall trend magnitudes and significance. The homogenization process allows for the detection of a larger number of stations with statistically significant negative trends with 95% and 90% confidence levels, particularly in the mountain ranges, that threatens the main sources of water in the largest watershed in the country. The regionalization of our rain gauge stations is highlighted and compared to previous studies. The monthly and annual means of raw and homogenized data show minor differences over the three main climate zones of the region

    Estimation of Dietary Exposure to Sodium Benzoate (E211) and Potassium Sorbate (E202) of Children and Adolescents in the Oran Region, Algeria

    No full text
    Sodium benzoate (E211) and potassium sorbate (E202) are two preservatives widely used alone or in combination in the food industry in Algeria. This study aims to estimate the dietary exposure of children and adolescents to these substances in Oran Province (Algeria) and to assess the risks incurred in consuming these two preservatives. For this, a total of 116 commercial food samples were analyzed for potassium sorbate and sodium benzoate content by HPLC, and a survey was carried out on 250 children and 765 adolescents using a consumption frequency questionnaire as the method. The concentration of preservatives in foodstuffs was mostly within the maximum permitted limits set by national and international standards. In scenario 2 and scenario 3, the estimated average dietary exposure to the two preservatives was below the ADI: it was 17–48% and 21–36% of the ADI for potassium sorbate and sodium benzoate, respectively. The dietary exposure at the 95th percentile exceeded the ADI for sodium benzoate and potassium sorbate when calculations were made using the average of samples containing these preservatives. The main contributors to exposure were carbonated drinks for sodium benzoate and juices, cheeses, and yogurts for potassium sorbate

    Statistical Analysis for the Detection of Change Points and the Evaluation of Monthly Mean Temperature Trends of the Moulouya Basin (Morocco)

    No full text
    This study examines the spatiotemporal variability of mean monthly temperature in the Moulouya watershed of northeastern Morocco, highlighting associated trends. To this end, statistical methods widely recommended by climate researchers were adopted. We used monthly mean temperature data for the period 1980–2020 from 9 measuring stations belonging to the Moulouya Watershed Agency (ABHM). These stations were rigorously selected, taking into account their reliability, the length of their records, and their geographical position in the basin. In addition, a quality test and homogenization of the temperature series were carried out using the Climatol tool. The results obtained show a significant upward trend in mean monthly temperature, mainly pronounced during the summer months, in the Moulouya watershed. In fact, Z values generally exceeded the 0.05 significance level at all stations during April, May, June, July, August, and October. According to the results of Sen’s slope test, mean monthly temperatures show an annual increase ranging from 0 to 0.13°C. The maximum magnitude of warming is recorded in July, specifically at Oujda Station. On an overall watershed scale, May, August, and July show a rapid warming trend, with average rates of 0.093, 0.086, and 0.08°C per year, respectively. By contrast, the series for the other months show no significant trend. Significant trend change points were also identified at watershed and station scales, mainly around 2000, primarily for accelerated warming of the summer months

    Head injuries in prehospital and Emergency Department settings: a prospective multicenter cross-sectional study in France

    No full text
    International audienceBackground: Head injuries are the leading cause of trauma in Emergency Departments (EDs). Recent studies have shown epidemiological changes in patients consulting ED for head injuries. The main objective of this study was to describe the profile of head injury patients consulting in the EDs in France and assess head injury severity across age groups; the delay between the occurrence of head injury and ED arrival; factors associated with traumatic intracranial hemorrhage (ICH).Methods: This cross-sectional study collected patient data over a three-day period in March 2023. All adult patients (≥ 18 years old) admitted to the ED with a head injury (defined as a trauma to the head) were included. TBI severity was classified according to patients' initial Glasgow Coma Scale score in the ED: severe (3-8); moderate (9 -12); mild (13-15); and simple head trauma in the absence of transient or persistent neurological symptoms.Results: Among the 71 participating EDs, 26,008 patients visited EDs and a total of 1070 patients (4.1%, IC 95 3.9-4.4) presented a head injury were included in the study, with a median age of 68.5 [37-85] years old. Most of the patients (66.7%) were referred to ED after a call to the Emergency Medical Dispatcher (EMD). The median time from head injury to ED visit was 2 h [1.0 - 5.5]. Ground-level falls were the leading cause of head injury (60.3%). Most of patient presented a simple head trauma (n = 715, 66.8%) followed by mild TBI (n = 337, 31.5%). CT head scans were performed for 636 patients (59.6%), of which 58 were positive. Traumatic ICH prevalence was 5.4% (95% CI: 4.1-6.9) and three patients (0.3%) required an urgent neurosurgical intervention. Neither preinjury anticoagulant (p = 0.97) nor antiplatelet (p = 0.93) use was associated with an increased risk of traumatic ICH.Conclusions: One head injury patient out of two presenting in the ED is aged over 65 years. Patients referred by EMD were more likely to visit ED promptly. The majority of older patients underwent a head CT scan and preinjury anticoagulant use was not associated with increased risk of traumatic ICH
    corecore