Key success factors of replicated social businesses

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and EconomicsNowadays, social business ventures are still a relatively unknown kind of organization in our society and does not exist a lot of research about them (Lampking, 2009). By combining a social purpose with a for-profit mindset, these initiatives become an effective way to respond to previously unsatisfied social needs (Seelos and Mair, 2005) which contrasts to a traditional view as inefficient, ineffective and unresponsive organizations (Dees, 2001). Thus, taking advantage of the lack of awareness about how these organizations operate, this work project intends to increase the knowledge about them. To perform it, this work project intends to analyze and understand the key success factors of the business models of successful social business ventures, indentifying their common patterns that allow them to be effective

Hábitos Alimentares das Pessoas com Diabetes Mellitus Tipo 2 em Portugal: Um Estudo Transversal

Introdução: A nutrição é uma área de intervenção na prevenção e gestão da diabetes mellitus; por isso, é fulcral promover a capacitação da população para a adoção de hábitos alimentares saudáveis. Ainda que existam alguns estudos nesta área, não se conhecem os principais erros nos hábitos alimentares das pessoas com diabetes em Portugal. Os objetivos deste estudo foram identificar os principais erros nos hábitos alimentares das pessoas com diabetes mellitus tipo 2 em Portugal e avaliar a sua relação com variáveis sociodemográficas. Métodos: Estudo transversal multicêntrico, em amostra de conveniência de pessoas com diabetes mellitus tipo 2 seguidas em Unidades de Cuidados de Saúde Primários. Aplicação do UK Diabetes and Diet Questionnaire (UKDDQ) – traduzido e adaptado, de julho a outubro de 2022. Análise estatística descritiva e inferencial. Resultados: Amostra de 550 participantes, 52,2% do sexo feminino, 68,3% com 65 anos ou mais, 55,8% com nível de escolaridade igual ou inferior ao 1.º ciclo do ensino básico, 24,7% com insuficiência económica e tempo desde o diagnóstico médio de 10,60 ± 8,13 anos. Apenas 36,2% da amostra obteve um score UKDDQ considerado saudável. Menos de 50% obteve scores saudáveis para os itens “arroz ou massa ricos em fibras”, “pão integral”, “manteiga, margarina e óleos vegetais” e “vegetais e leguminosas”. Somente 8,9% da amostra obteve score saudável para o consumo de fibras. Cerca de 70,4% obteve score saudável para o consumo de açúcares livres e 54,7% para o consumo de ácidos gordos saturados. Verificou-se a existência de uma correlação com significado estatístico positiva fraca entre o score UKDDQ e a idade (ρ = 0,201, p < 0,001), com escolha mais frequente de alimentos saudáveis com o aumentar da idade. As pessoas do sexo feminino reportaram hábitos alimentares mais saudáveis, particularmente no consumo de fibras e ácidos gordos saturados. Conclusão: A maior parte da nossa amostra não usufruiu do potencial efeito positivo de uma alimentação saudável. Individualizam-se grupos de alimentos cujos consumos devem ser enfatizados ou desencorajados, particularmente, a necessidade de incentivar o consumo de alimentos ricos em fibra. Ações educacionais dirigidas devem ter especial foco em pessoas mais jovens e/ou do sexo masculino

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P &lt; 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Knee osteoarthrosis secondary to ochronosis -clinical case,

Alkaptonuria is a rare metabolic disease in which a deficiency of the enzyme homogentisate dioxygenase causes an accumulation of homogentisic acid. Ochronosis consists of excessive deposition of homogentisic acid in the connective tissue and presents as a chestnut brown or black pigmentation. With aging, the accumulation of pigments from homogentisic acid in the joints causes osteoarthrosis. There is no specific treatment for the disease and the approach is symptomatic. Arthroplasty is the solution for severe cases of osteoarthrosis caused by this pathological condition and presents results comparable to those from patients with primary osteoarthrosis. Here, the case of a 67-year-old patient who underwent several arthroplasty procedures because of osteoarthrosis caused by this rare pathological condition is presented. The last surgical intervention consisted of total right knee arthroplasty

Osteoartrose do joelho secundária a ocronose – Caso clínico

ResumoA alcaptonúria é uma doença metabólica rara em que a deficiência da enzima ácido homogentísico‐oxidase provoca uma acumulação de ácido homogentísico. A ocronose consiste na deposição excessiva de ácido homogentísico no tecido conjuntivo e apresenta‐se como uma pigmentação acastanhada ou preta. Com o envelhecimento, a acumulação de pigmentos de ácido homogentísico nas articulações provoca osteoartrose. Não existe um tratamento específico para a doença e a abordagem é sintomática. A artroplastia é a solução para casos graves de osteoartrose causada por essa patologia e apresenta resultados comparáveis aos doentes com osteoartrose primária. Os autores apresentam o caso de um doente de 67 anos submetido a várias artroplastias, em virtude da osteoartrose causada por essa rara patologia. A última intervenção cirúrgica foi uma artroplastia total do joelho direito.AbstractAlkaptonuria is a rare metabolic disease in which a deficiency of the enzyme homogentisate dioxygenase causes an accumulation of homogentisic acid. Ochronosis consists of excessive deposition of homogentisic acid in the connective tissue and presents as a chestnut brown or black pigmentation. With aging, the accumulation of pigments from homogentisic acid in the joints causes osteoarthrosis. There is no specific treatment for the disease and the approach is symptomatic. Arthroplasty is the solution for severe cases of osteoarthrosis caused by this pathological condition and presents results comparable to those from patients with primary osteoarthrosis. Here, the case of a 67‐year‐old patient who underwent several arthroplasty procedures because of osteoarthrosis caused by this rare pathological condition is presented. The last surgical intervention consisted of total right knee arthroplasty