A Junta de Freguesia de Ribeirão realiza, nos dias 20 e 21 de dezembro, uma Feirinha de Natal. Os interessados em participar – artesãos, produtores locais, associações e comerciantes – devem fazer a sua inscrição (gratuita), até 5 de dezembro, na sede da Junta de Freguesia.
O certame, que decorre na Avenida Rio Veirão, em frente à sede da Junta, visa celebrar o espírito natalício, valorizar o comércio local e promover os produtos tradicionais e criativos.
«Se produz artesanato, doçaria, enchidos, queijos ou outros produtos típicos, esta é a oportunidade perfeita para mostrar o seu trabalho», desafia a Junta de Freguesia.
Na tarde do próximo domingo, às 15 horas, o GD Joane joga em Prado (8.º, 18 pontos) a defesa do primeiro lugar da pró nacional da AF Braga. Os joanenses, depois da goleada, 4-2, sobre os Sandinenses e da derrota, 2-1, do Pevidém nas Marinhas, subiram ao primeiro lugar, com 26 pontos.
A equipa joanense é a melhor defesa da prova em 12 jogos, com apenas 8 golos sofridos, e ainda não perdeu (7 vitórias e 5 empates). No plano ofensivo, a equipa treinada por José Manuel Teixeira marcou 19 golos.
Ainda nesta jornada, no sábado, às 19 horas, a Oliveirense viaja até Esposende. A equipa de Oliveira Santa Maria soma 12 pontos e ocupa o décimo quinto lugar, enquanto que o Esposende, com 22 pontos, está no quarto lugar.
No âmbito das celebrações natalícias, a Junta de Freguesia de Castelões promove um Concurso da Melhor Rabanada de Natal. O objetivo é a promoção da tradição, partilha e criatividade gastronómica dos habitantes da freguesia.
A degustação e avaliação das rabanadas terá lugar no dia 13 de dezembro de 2025, pelas 16h00, nas instalações da Junta de Freguesia de Castelões.
Os amantes da doçaria podem inscrever-se até 10 de dezembro, em info-geral@jf.casteloes.com ou pelos telefones 252 992 061 ou 967 448 991.
«Participe e ajude-nos a eleger a verdadeira rainha das mesas de Natal de Castelões», desafia a Junta.
Podem participar todos os residentes, naturais ou pessoas com ligação à freguesia de Castelões. Cada participante poderá concorrer apenas com uma receita de rabanadas. Elas devem ser confecionadas previamente e entregues no local do concurso até 30 minutos antes do início da degustação. Devem ser apresentadas prontas a servir, em quantidade suficiente para a degustação pelo júri (mínimo de 6 unidades). Não serão aceites rabanadas de compra ou pré-fabricadas.
O júri será composto por 3 a 5 elementos designados pela Junta de Freguesia de Castelões, podendo incluir representantes de associações locais, especialistas gastronómicos ou convidados.
Critérios de avaliação: aspeto e apresentação – até 25 pontos
Sabor e textura – até 40 pontos; originalidade / criatividade – até 20 pontos; tradição e ligação ao Natal – até 15 pontos; em caso de empate, o júri decidirá por consenso.
Quanto a prémios: 1.º lugar: 100 €, 2.ª posição 75 €, 3.º Prémio: 50 €.
Os resultados serão conhecidos no final da degustação e serão divulgados nas redes sociais e meios oficiais da Junta.
A partir do dia 22 de novembro, a música será uma constante na cidade de Famalicão. O destaque do programa de animação cultural da Aldeia de Natal acontece no dia 7 de dezembro, com o Grupo Etnográfico Rusga de Joane a convidar a fadista Gisela João para um concerto que terá lugar na Fundação Cupertino de Miranda e que celebrará os cantares e melodias do Natal popular.
A Praça – Mercado Municipal volta a receber os concertos das Comunidades (En)Coro, com espetáculos marcados para os dias 1, 7 e 14 de dezembro.
Do programa cultural da Aldeia de Natal também constam espetáculos promovidos pela FAMART Ensemble, pela ACAFADO, quarteto Euterpe, pelo coral sinfónico da ARTAVE, entre outros artistas e associações que durante esta época vão trazer diferentes espetáculos até à cidade.
No plano desportivo, destaque para a 9.ª edição da São Silvestre de Famalicão marcada para o dia 23 de dezembro, pelas 21h30.
O habitual ‘Famalicão Porto de Encontro’, promovido pela Associação Comercial e Industrial de Famalicão, realiza-se no dia 24 de dezembro.
A Aldeia de Natal de Famalicão, que este ano se estende pela Praça D. Maria II, Praça 9 de Abril e pela Praça Mouzinho de Albuquerque, abre portas no dia 22 de novembro, às 18h00. Será a esta hora que será apresentado o espetáculo multimédia instalado na Praceta Cupertino de Miranda e será ligada a iluminação de Natal. No total, são quase 4 milhões de luzes que, até 6 de janeiro, vão iluminar as ruas, rotundas, praças e edifícios da cidade e das vilas do concelho
A Aldeia de Natal contempla a pista de gelo, uma roda e uma árvore gigantes, o tradicional ‘Circo de Papel’, pelo Instituto Nacional de Artes do Circo (INAC), Street Food, o Mercado de Natal, espetáculos musicais e os divertimentos para os mais pequenos, que este ano ganham uma nova atração para além dos habituais carrossel e comboio – a ‘Praça do Sonhos’, na Praça 9 de Abril. Nesta praça também estará a Cabana do Pai Natal, um mini comboio, uma mini roda, um mini carrossel, um espaço de realidade virtual e uma rampa deslizante de Snow Tubing com 26 metros.
Na Praça D. Maria II estará o Espetáculo Multimédia, o Mercado de Natal, a Roda Gigante (este ano nas traseiras da Fundação Cupertino Miranda), e o carrossel e o Comboio de Natal dinamizados pela Associação Comercial e Industrial de Famalicão.
Na Praça Mouzinho de Albuquerque, em frente ao Mercado Municipal, será colocada a Árvore de Natal e a Pista de Gelo. A Praça 9 de Abril vai, então, transformar-se na nova Praça dos Sonhos, espaço para os mais pequenos, onde também haverá street food.
O presidente da Câmara Municipal, Mário Passos, considera que «o Natal merece ser vivido com intensidade e com alegria e estou certo que em Famalicão temos reunidos todos os ingredientes para que isso aconteça com todas as famílias famalicenses e com todos aqueles que nos visitam durante o próximo mês e meio».
A campanha de Natal é promovida pela autarquia em parceria com a ACIF, entre outras associações, instituições e empresas do concelho.
A Polícia Judiciária (PJ) deteve três homens no Porto e em Matosinhos, suspeitos de pertencer a uma rede criminosa que ameaçava e extorquia dinheiro a pessoas em dificuldades financeiras.
Segundo a PJ, o grupo oferecia empréstimos particulares com juros de cerca de 10%, mas continuava a exigir pagamentos mesmo depois de as dívidas estarem saldadas. As vítimas, temendo represálias e ameaças à sua integridade física, acabavam por assinar novas confissões de dívida e manter os pagamentos.
O esquema terá funcionado durante quatro anos e rendido centenas de milhares de euros. Os detidos, com idades entre 29 e 59 anos e antecedentes criminais, são suspeitos dos crimes de extorsão agravada, usura agravada e associação criminosa.
We and our [number_of_vendors] partners use cookies and other tracking technologies to store and access information on your device and to process your personal data.
With your consent, we and our partners may process personal data such as unique identifiers, browsing data, and precise geolocation data, including through device scanning. You can accept or reject all by clicking the buttons below, or customize your choices by clicking "Manage Settings".
Some of our partners process your data based on their legitimate interest. You have the right to object to this processing. You can manage these settings by clicking "Manage Settings" and reviewing the legitimate interest options for each purpose and vendor.
This consent applies to this website only. You can withdraw or change your consent at any time by clicking the floating "Cookie Preferences" button at the bottom-left corner of your screen.
Data Processing Purposes: Store and/or access information on a device (397 seeking consent); Use limited data to select advertising (278 seeking consent, 96 using legitimate interest); Create profiles for personalised advertising (294 seeking consent); Use profiles to select personalised advertising (300 seeking consent); Create profiles to personalise content (114 seeking consent); Use profiles to select personalised content (107 seeking consent); Measure advertising performance (300 seeking consent, 132 using legitimate interest); Measure content performance (138 seeking consent, 56 using legitimate interest); Understand audiences through statistics or combinations of data from different sources (198 seeking consent, 67 using legitimate interest); Develop and improve services (200 seeking consent, 107 using legitimate interest); Use limited data to select content (62 seeking consent, 22 using legitimate interest)
Special Features: Use precise geolocation data; Identify devices based on information actively requested
Review and customize your consent choices for purposes and vendors. You can grant or withdraw consent for each purpose and vendor individually, or use the buttons below to accept or reject all.
The choices you make regarding the purposes and entities listed in this notice are saved in your browser's localStorage and a cookie named "wpconsent_tcstring" for a maximum duration of 12 months.
Non-IAB TCF Categories
These categories are not part of the IAB Transparency & Consent Framework.
Essential cookies enable basic functions and are necessary for the proper function of the website.
Name
Description
Duration
IAB TC String
This cookie stores the IAB Transparency & Consent Framework consent string, recording the user's choices for IAB TCF purposes and vendors.
12 months
Cookie Preferences
This cookie is used to store the user's cookie consent preferences.
30 days
IAB TCF Purposes
These purposes are part of the IAB Transparency & Consent Framework.
Store and/or access information on a device (397 seeking consent)
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Examples:
Most purposes explained in this notice rely on the storage or accessing of information from your device when you use an app or visit a website. For example, a vendor or publisher might need to store a cookie on your device during your first visit on a website, to be able to recognise your device during your next visits (by accessing this cookie each time).
Use limited data to select advertising (278 seeking consent, 96 using legitimate interest)
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
Examples:
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Create profiles for personalised advertising (294 seeking consent)
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
Examples:
If you read several articles about the best bike accessories to buy, this information could be used to create a profile about your interest in bike accessories. Such a profile may be used or improved later on, on the same or a different website or app to present you with advertising for a particular bike accessory brand. If you also look at a configurator for a vehicle on a luxury car manufacturer website, this information could be combined with your interest in bikes to refine your profile and make an assumption that you are interested in luxury cycling gear.
An apparel company wishes to promote its new line of high-end baby clothes. It gets in touch with an agency that has a network of clients with high income customers (such as high-end supermarkets) and asks the agency to create profiles of young parents or couples who can be assumed to be wealthy and to have a new child, so that these can later be used to present advertising within partner apps based on those profiles.
Use profiles to select personalised advertising (300 seeking consent)
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
Examples:
An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
A profile created for personalised advertising in relation to a person having searched for bike accessories on a website can be used to present the relevant advertisement for bike accessories on a mobile app of another organisation.
Create profiles to personalise content (114 seeking consent)
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
Examples:
You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Use profiles to select personalised content (107 seeking consent)
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
Examples:
You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Measure advertising performance (300 seeking consent, 132 using legitimate interest)
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
Examples:
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Measure content performance (138 seeking consent, 56 using legitimate interest)
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
Examples:
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Understand audiences through statistics or combinations of data from different sources (198 seeking consent, 67 using legitimate interest)
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
Examples:
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Develop and improve services (200 seeking consent, 107 using legitimate interest)
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
Examples:
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Use limited data to select content (62 seeking consent, 22 using legitimate interest)
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
Examples:
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
