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Cultura: a palazzo del Pegaso si presenta Collinarea, il festival di Lari. Corecom: 'Cyberbullismo: prevenzione o punizione? Europa: impatto Covid, il quadro dei finanziamenti per fronteggiare la crisi.

Garante infanzia e adolescenza: i minori invisibili. Controllo: ventilatori polmonari, in commissione sentita dg Estar Monica Piovi. Cinquantesimo Regione: Giani, la parola antifascismo nello Statuto. Sviluppo: infrastrutture tecnologiche, via libera a nuove norme. Piano regionale cave: via libera dalle commissioni. Per informazioni sui cookie e su come eventualmente disabilitarli, leggi la Cookie policy dei siti del Consiglio regionale della Toscana. Giunta regionale Area riservata.

Ufficio stampa.

deliberazione della giunta regionale 24 gennaio 2020, n. 9-935

Il Presidente Eugenio Giani. I Consiglieri chi sono e cosa fanno. Le Commissioni composizione, atti, sedute. Le sedute d'aula calendario e lavori. Le iniziative culturali mostre, convegni, premi, eventi. Le leggi, gli atti e i documenti proposte di legge, banche dati, normativa.

Come fare per accedere, richiedere, contattare. Biblioteca della Toscana Pietro Leopoldo collezioni, catalogo, servizi. Bollettino Ufficiale della Regione Toscana pubblicate nuove leggi regionali.

Tutti i focus. Organismi istituzionali Vedi tutti. Difensore civico. Garante dei diritti dei detenuti. Garante per l'infanzia e l'adolescenza. Social media. Tweets by CRToscana. Consiglio regionale della Toscana.La Rete, oltre alla sede centrale di Bruxelles, ha anche due "hub" accademici a Londra e a Berlino.

Sin dall'anno su invito dell'European Observatory, la Regione del Veneto partecipa quale unico partner italiano ai lavori della Rete finalizzati allo studio, al confronto dei sistemi sanitari europei e all'analisi dell'evoluzione delle politiche nazionali di salute pubblica in Europa. Con successive deliberazioni la Giunta Regionale ha approvato annualmente la partecipazione alla partnership, da ultimo con DGR n. Il partenariato studia i sistemi sanitari e i loro cambiamenti, raccoglie le esperienze dei Paesi europei e le confronta con le migliori esperienze di Paesi extra europei, incentiva il dialogo tra accademici, policy-maker e professionisti della salute finalizzato ad analizzare le tendenze delle politiche e delle riforme sanitarie.

Il rapporto di collaborazione con l'European Observatory si concretizza anche nella partecipazione della Regione del Veneto ad importanti appuntamenti di confronto e dibattito, a livello europeo ed internazionale, sulle principali questioni di interesse sanitario che coinvolgono le dinamiche dei sistemi sanitari.

La fattiva e consolidata collaborazione con la Rete ha contribuito al riconoscimento del Veneto come sede strategica di riferimento e luogo privilegiato per conferenze internazionali, seminari scientifici e tecnici.

Dal 3 al 5 aprile la Regione del Veneto ha ospitato a Cison di Valmarino in Provincia di Treviso la Conferenza "Country assessments for G20 countries - How health systems contribute to the economy" Valutazioni nazionali per i paesi del G20 - In che modo i sistemi sanitari contribuiscono all'economia realizzata dall'European Observatory in sinergia con l'OMS. Il documento, approvato dai membri nella seduta dello Steering Committee dello scorso giugnomira a definire una strategia di successo che, guardando a un orizzonte a lungo termine, sostenga gli sforzi degli Stati membri per vincere le attuali e future sfide per la tutela della Salute, contemperando le nuove esigenze dei cittadini e gli obiettivi di finanza pubblica.

Tra gli obiettivi del programma quinquennale rientra quello di fornire ai policy maker dei Paesi membri adeguati strumenti di misurazione, valutazione e governo dei servizi e dell'innovazione a supporto di strategie decisionali efficaci, anche attraverso una puntuale e rigorosa analisi delle tematiche prioritarie, delle tendenze, degli scenari futuri, delle caratteristiche e delle sfide specifiche di ciascun paese partner.

Il work planillustrato durante l'ultima riunione dello Steering Committee svoltasi a Berlino dal 12 al 13 dicembreprevede l'incentivazione e lo sviluppo delle azioni avviate lo scorso anno incentrate sul monitoraggio, sull'analisi dei sistemi sanitari degli Stati membri, sui sistemi di misurazione e valutazione delle performance. Fin dallo scoppio dell'epidemia da Covid l'European Observatory, al fine di supportare i paesi partner nella lotta al virus, ha messo in atto iniziative mirate a stimolare il dibattito tra il mondo accademico e scientifico, i policy maker e le istituzioni europee.

Gli oneri di partecipazione alla Rete ammontano per il corrente anno ad euro Con il presente atto si propone di finanziare l'intervento di spesa in oggetto per un importo complessivo di euro A questo fine occorre considerare che sulla base della DGR n. In esecuzione di quanto stabilito dalla deliberazione della Giunta Regionale n.

Il relatore conclude la propria relazione e propone all'approvazione della Giunta regionale il seguente provvedimento.

Rivista telematica registrata presso il Tribunale di Firenze decreto n. ISSN Per qualunque domanda o informazione, puoi utilizzare il nostro form di contattooppure scrivici a uno di questi indirizzi email:. Utilizzando il nostro sito, l'utente accetta il nostro utilizzo da parte dei cookie. Veneto 16 giugnon. Veneto - Atti della Giunta regionale D. Pubblicata nel Bur n.

Osservatorio sulle fonti Rivista telematica registrata presso il Tribunale di Firenze decreto n.Nel gravame si afferma che il ricorrente sig. Marco F. Nel gravame si evidenzia che, nelle more dell'avvio delle pratiche amministrative necessarie per aderire al programma ministeriale di "accoglienza diffusa", il sig.

Con il gravame indicato in epigrafe, notificato e depositato nei termini di legge, il sig. In via preliminare il Collegio evidenzia che la sentenza viene emessa ai sensi dell'art.

Ai sensi dell'art. Pertanto, la deliberazione di che trattasi non poteva essere adottata dalla Giunta ma, ai sensi dell'art. Il consiglio ha competenza limitatamente ai seguenti atti fondamentali: a statuti dell'ente e delle aziende speciali, regolamenti salva l'ipotesi di cui all'art.

Sul punto il Consiglio di Stato ha evidenziato che "All'organo consiliare spetta in via generale ed esclusiva art.

Il potere regolamentare trova espresso e generale fondamento nell'art. V, 27 ottobren. Abruzzo, Pescara, sez. I, 22 aprilen. In conclusione, il ricorso deve essere accolto per l'assorbente censura di difetto di competenza e, per l'effetto, deve essere annullata la deliberazione della Giunta Comunale di San Germano Vercellese, 9 agoston.

Spese compensate con il Ministero dell'Interno. Condanna il Comune di San Germano Vercellese al pagamento delle spese di giudizio in favore del sig. EIUS utilizza i cookie. La navigazione nel sito implica l'accettazione di tale utilizzo.

Ulteriori informazioni Chiudi. Newsletter Feed Facebook Telegram Twitter.

TOSCANA - Ordinanza del Presidente della Giunta Regionale N° 30 del 09 Aprile 2020

Devi sostenere un esame o un concorso? Su IBS trovi manuali e libri di economia e diritto.All drivers, hotel employees, and tour guides (kayak tour) were very friendly and helpful. It was a wonderful experience and we would love to book a longer trip around Iceland someday with Nordic Visitor. The trip was great and the island beautiful. It was one of the truly memorable family holidays. We loved traveling Highway One on the island's east side. The services provided by Sjofn exceeded our expectations in all respects.

The organization and travel materials provided were excellent and easy to follow. We would not hesitate to recommend Nordic Visitor. We cannot wait to visit Iceland again. We thought that Larus did an excellent job in planning the tour and our hotel stops based on our interests, which were largely to take advantage of seeing the beautiful scenery and to hike.

We've travelled extensively in Europe, North America, South America, Australia and New Zealand. Our trip to Iceland was one of the best organized and most enjoyable. Nordic anticipated almost all of our questions with their extensive information package. And for those that they didn't anticipate, Larus answered them promptly.

We so much enjoyed our trip to Iceland that we're looking forward to a return visit in a future summer and will definitely used Nordic Visitor again. Everything about this tour was perfect. It would not be an overstatement to say it was one of the top travel experiences of my life.

Arnar really thought through all of the details, and produced a tour that probably could never be topped. All of the hotels and other travel plans were first rate. I would love to do something like this again. We booked a last minute honeymoon trip with Nordic Visitor and found the service outstanding. There was only two weeks from the date of booking to our arrival date.

Even though she had very little time to coordinate the trip, Sjofn did a wonderful job planning the trip. She made excellent recommendations and went out of her way to make us feel very welcome and comfortable throughout the process.

She helped us re-coordinate one of our activities when one of us was not feeling well and was very responsive whenever we had questions throughout the trip.

Furthermore, all the accommodations were lovely and comfortable. We thoroughly enjoyed all the recommended activities and the stress-free aspect of the self guided driving tour.

We really had no idea what to expect with Iceland but were overwhelmed with the beauty of the country.Josh McCown (before he was putting up huge numbers). Blaine Gabbert (and he scored 17. Their defense simply hasn't faced a quarterback of Wilson's skill set, and he's the highest-scoring player in fantasy football. Wilson might not give you 30 fantasy points, but he won't give you a stinker, either.

Cynthia Frelund: Marshawn Lynch is a top-10 running back this week. I know Chiefs' cornerback Marcus Peters isn't playing and Raiders' wideouts Michael Crabtree and potentially even Amari Cooper could both return. However, in addition to being vulnerable to the pass, the Chiefs defense has also given up the most rushes of 10-plus and the second-most rushes of four-plus yards. I'm not saying receivers in this game aren't a good choice, but I don't think that means it's not a ground-heavy game script.

Adam Rank: Rank: DeShone Kizer finishes as a Top-11 quarterback nfl. But how about a little love for his quarterback, DeShone Kizer. He's showing some signs. The completion percentage is low. It's somewhere in the neighborhood of Mike Trout's batting average (And how about Shohei Ohtani joining that loaded team.

I can't want to see how fantasy baseball handles a guy who pitches and bats). But he's got a good matchup this week. The Packers are 26th in the league against the pass. They rank 28th on third down.

Kizer has some pretty intriguing weapons around him. Matt "Franchise" Franciscovich: Andre Ellington finishes as a top-15 PPR running back. It's bold because Lamar Miller is the obvious primary running back for Houston, and will get the majority of the volume as a runner. But we saw Ellington play 44 snaps last week, 77 percent of which came in the slot.

Houston needed him to play wide receiver because they lost Bruce Ellington, Braxton Miller and tight end C. Fiedorowicz to injury in the game, and all three of them are out again this week. Ellington had five catches for 56 yards, and I wouldn't be surprised if that workload doubles this week. He's a great value in DFS formats and should be, at worst, third in line for targets behind DeAndre Hopkins and Stephen Anderson against the 49ers. Matt Harmon: Carson Wentz and Jared Goff combine for less than 25 fantasy points.

The Rams and Eagles are among the top teams at pressuring the passer this season and both quarterbacks have been mixed bags under pressure.Must be a number greater than or equal to 2 and less than or equal to 1000 (or 16 in development mode). All the fields in the dataset Specifies the fields to be considered to create the anomaly detector. The range of successive instances to build the anomaly detector.

Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your anomaly detector.

deliberazione della giunta regionale 24 gennaio 2020, n. 9-935

The minimum number is 1 and the maximum is 1024. Example: 256 You can also use curl to customize a new anomaly detector.

deliberazione della giunta regionale 24 gennaio 2020, n. 9-935

Read the Section on Sampling Your Dataset to learn how to sample your dataset. Once an anomaly detector has been successfully created it will have the following properties. Creating an anomaly detector is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems.

The anomaly detector goes through a number of states until its fully completed. Through the status field in the anomaly detector you can determine when the anomaly detector has been fully processed and ready to be used to create predictions. Thus when retrieving an anomaly, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.

To update an anomaly detector, you need to PUT an object containing the fields that you want to update to the anomaly detector' s base URL.

Once you delete an anomaly detector, it is permanently deleted. If you try to delete an anomaly detector a second time, or an anomaly detector that does not exist, you will receive a "404 not found" response. However, if you try to delete an anomaly detector that is being used at the moment, then BigML. To list all the anomaly detectors, you can use the anomaly base URL.

By default, only the 20 most recent anomaly detectors will be returned. You can get your list of anomaly detectors directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your anomaly detectors.

Associations Last Updated: Monday, 2017-10-30 10:31 Association Discovery is a method to find out relations among values in high-dimensional datasets. It is commonly used for market basket analysis.

n.116 del 15.04.2020 periodico (Parte Seconda)

For example, finding customer shopping patterns across large transactional datasets like customers who buy hamburgers and ketchup also consume bread, can help businesses to make better decisions on promotions and product placements. Association Discovery can also be used for other purposes such as early detection of failures or incidents, intrusion detection, web mining, or biotechnology.

Note that traditionally association discovery look for co-occurrence and do not consider the order in which an item appear within an itemset. Associations can handle categorical, text and numeric fields as input fields: You can create an association selecting which fields from your dataset you want to use.

You can also list all of your associations. This can be used to change the names of the fields in the association with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.

All the fields in the dataset Specifies the fields to be considered to create the association. A value less than 1 represents the percentage of the support, and will be multiplied by the total number of instances and rounded up.

deliberazione della giunta regionale 24 gennaio 2020, n. 9-935

Example: true name optional String,default is dataset's name The name you want to give to the new association. Each must contain, at least the field, and both operator and value.The Jarque-Bera Result Object has the following properties. See Jarque-Bera Test for more information. The Z-Score Object has the following properties.

A positive standard score indicates a datum above the mean, while a negative standard score indicates a datum below the mean. See z-score for more information.

The Grubb's Test for Outliers Result Object has the following properties. It computes a t-test based on the maximum deviation from the mean. A significant result indicates that at least one outlier is present in the data.

If an outlier is found, also returns the value of the outlier. Note that this test assumes that the data are normally distributed. See Grubb's test for outliers for more information. Creating statistical test is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems.

The statistical test goes through a number of states until its fully completed. Through the status field in the statistical test you can determine when the test has been fully processed and ready to be used to create predictions.

Thus when retrieving a statisticaltest, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.

To update a statistical test, you need to PUT an object containing the fields that you want to update to the statistical test' s base URL. Once you delete a statistical test, it is permanently deleted. If you try to delete a statistical test a second time, or a statistical test that does not exist, you will receive a "404 not found" response.

However, if you try to delete a statistical test that is being used at the moment, then BigML. To list all the statistical tests, you can use the statisticaltest base URL.

By default, only the 20 most recent statistical tests will be returned. You can get your list of statistical tests directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your statistical tests.

Models Last Updated: Monday, 2017-10-30 10:31 A model is a tree-like representation of your dataset with predictive power. You can create a model selecting which fields from your dataset you want to use as input fields (or predictors) and which field you want to predict, the objective field. Each node in the model corresponds to one of the input fields. Each node has an incoming branch except the top node also known as root that has none.

Each node has a number of outgoing branches except those at the bottom (the "leaves") that have none. Each branch represents a possible value for the input field where it originates. A leaf represents the value of the objective field given all the values for each input field in the chain of branches that goes from the root to that leaf. When you create a new model, BigML. You can also list all of your models. This can be used to change the names of the fields in the model with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.