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a third party discovered a large snake at a barbecue site in Rheinfelden AG
it was determined that it was a king python
a large snake was discovered near a barbecue area in Rheinfelden
A specialist from the Aargau cantonal police was finally able to identify the animal as a "king python"
The cantonal police then began an investigation
The owner of the king python has now been found
The 54-year-old Swiss man from the Rheinfelden district confessed to having deliberately released the non-native constrictor snake
He stated that he had acted because of financial problems and the threat of losing his home
He is now being prosecuted for animal cruelty by the public prosecutor's office in Rheinfelden-Laufenburg
in cooperation with the regional police of Unteres Fricktal
began an investigation and finally tracked down the former owner
The police had already asked for information about the animal's origin shortly after it was found
it was unclear whether the python had escaped or been deliberately released
Another concern has been the recent acquisition of Germany’s Aluminium Rheinfelden GmbH by the Russian aluminum conglomerate United Company (UC) RUSAL
The corporate takeover has raised broad anxieties that the German firm’s advanced fabrication and design technology could be used to execute Russia’s armaments plans—particularly for potential upgrades to its tank armada
UC RUSAL is the world’s largest aluminum producer outside of China and Russia’s only significant producer of this industrially crucial lightweight metal. As a part of its long-term development strategy, RUSAL plans to increase the production of Rheinfelden’s specialized aluminum alloys up to 30,000 tons per year (TASS
It seems highly unlikely to presume that—Kremlin ally Oleg Deripaska’s “divestiture” from the company notwithstanding—UC RUSAL is sufficiently free to forestall diverting any Aluminium Rheinfelden output to future Russian military needs
head of the QA lab at the Feldschlösschen brewery in Rheinfelden
Jules Wyss is the head of the quality assurance laboratory at the largest brewery in Switzerland
the Feldschlösschen brewery in Rheinfelden
The master brewer and beverage technologist helped to set up the QA lab from 1991 onward
A new system at the lab combines ion chromatography and titration from Metrohm with density measurement and spectroscopic alcohol and color determination. This system
which was made to measure for Feldschlösschen
Wyss and his coworkers obtain results more quickly and more easily than ever before
we analyze finished beers and mixed beer drinks
but we also receive wort samples and beer that has undergone lagering but has not yet been filtrated
there are samples from product development
All of this adds up to 50–100 samples per day
because we analyze several parameters in each of the samples
Credit: Copyright Feldschloesschen Getraenke AG
We used to analyze all parameters separately
This of course meant that we also had to document and archive all results separately
What made things worse was that some of the methods were unreliable
We had to measure some parameters up to three times to be able to trust our results
The amount of time and resources this cost us made it clear to us that we couldn’t continue that way
There is no tedious compiling of results from different analysis systems anymore
But the system saves us even more time thanks to its rapid deployment and its quick analyses
we don’t have to oversee analyses anymore because our new system operates so robustly
We can even run analyses during breaks and at night
we find results that we can rely on—right the first time
The laboratory staff actually love the new system because it’s very easy to use
That is mainly because controlling the system using tiamo is so straightforward
we measure the remaining parameters separately
But I can very well imagine integrating them into the system in the long run—sulfite and sugar analysis
Integrating automated sample preparation might also become interesting for us at some point
the flexibility to adapt the system to one’s needs is one of its greatest strengths: analytical requirements may differ between labs and change over time
but by making the necessary adjustments to the system
but I see great potential for similar systems being used at other companies in the beverage industry — not only other breweries
but also winemakers or producers of alcohol-free drinks
Not every manufacturer of analysis instruments could have offered us a customized solution like this one
Metrohm put a lot of hard work into making it a success for us
For more information, please watch our video
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Die Saline Riburg der Schweizer Rheinsalinen fördert schon seit 1848 Salz
Besonders sind die 2 grössten Kuppelbauten der Schweiz: Der Saldome® 1 und 2 sind riesige Lagerhallen für Auftau-Salz
Das Grosslager ist das logistische Kernstück der Auftauversorgung der Schweiz.
Die Saline Riburg kann auf einem geführten Rundgang besichtigt werden
Dort sehen Sie einen der grössten Verdampfer Europas
Neben dem Betrieb in der Verdampferhalle gibt es auch zwei ehemalige Bohrhäuser zu entdecken. Bei der Besichtigung des Bohrhauses Nr
7 ziehen einen die rhythmischen Bewegungen einer alten Kolbenpumpe in den Bann
8 schreckt der historische Bohrdrehtisch mit Gekreische die Besucher auf.
Höhepunkt des Rundgangs ist die Besichtigung des Saldome®
Diese Salzlagerhalle ist der grösste Kuppelbau der Schweiz
Der Saldome® bietet Raum für 80’000 Tonnen Auftausalz. Das Grosslager ist das logistische Kernstück der Auftausalzversorgung für die Schweiz
Besichtigung der Saline nur auf Voranmeldung möglich
Neueröffnung Saline Riburg im August 2023
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Text description provided by the architects. Standing four stories tall, the new building stands out self-assuredly from the heterogeneous buildings in the commercial area and is a new, memorable location for the headquarters of Energiedienst AG.
Horizontal bands of white-coated metal around the building emphasise its peaceful, smooth interaction with the landscape. Arranged at a low parapet height, the bands reflect additional daylight onto the ceiling of the offices.
© Ruedi WaltiThe building was certified with the “Gold” award by the German Sustainable Building Council (Deutsche Gesellschaft für Nachhaltiges Bauen – DGNB)
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Football star Xherdan Shaqiri has been canceled again
the permit for the construction of a luxury villa in Rheinfelden AG
The representative of Switzerland will appeal to the highest instances of the federal court in this regard
Shaqiri plans to build a villa that would cost nearly three million Swiss francs
the project is in jeopardy with the removal of the construction permit
Tennis legend Roger Federer had a similar legal battle
he was finally issued a building permit and is building a luxury villa
32-year-old Shaqiri is continuing the battle
The city of Rheinfelden AG had given him a building permit as early as August 2022
After publishing the project and applying for construction in the spring of 2021
light emissions and too little greenery were criticized
These objections were initially mitigated through design correction
therefore the construction request was approved
the appellants had 30 days to appeal and the permit was withdrawn
It has been a year and a half since then and nothing has happened
"People always pass by asking how it's going here," a resident of the Kapuzinerberg neighborhood in Rheinfelden told "Aargauer Zeitung"
From time to time Shaqiri's parents take care of the garden
otherwise everything is quiet around the property where Shaqiri planned to build the villa of around 3 million
nothing can be done about the property at the moment because the case is still pending
"Procedures are underway and the building permit is not yet legally binding," city spokesman Roger Edin was quoted as saying
That's why the case is in federal court – apparently because of Shaqiri
the administrative court - the first instance of the federal court - "cancelled the construction permit and approved the neighborhood's appeal." Shaqiri is already challenging the decision at the highest level
The 270 square meter villa would have a cinema
An apartment for the grandmother is also planned on the first floor
But it is unclear whether the ideas can be put into practice
It is not known when a final decision can be expected
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Annex of the former Radio Prishtina (first floor) George Bush pn
The world’s leading publication for data science
Long Short Term Memory (LSTM) models are a powerful type of neural network ideally suited to predict time-dependent data
Rhine water levels fit right into this category: they vary over time
depending on a range of variables such as rain
For centuries it has been used as a major artery for shipping goods into Germany
water levels on the river are likely to become more variable
Forecasting the river’s level accurately is therefore a primary concern for a whole range of actors
from shipping companies to commodity traders and industrial conglomerates
LSTMs are able to capture non-linear relationships between different variables; more precisely
the sequence dependence among these variables
This blog focuses on the problem of Rhine river forecasting using LSTMs
rather than the theory behind these models
The problem we are looking to solve here is the following: we would like to forecast next-day water levels at Kaub
We have historical daily data from 2 January 2000 to 27 July 2020
The dataset includes 15 different categories
Note that the choice of variables is entirely mine and is based on my experience dealing with Rhine analysis
Selecting the right inputs is one of the most important steps in time series analysis
whether you are using classical regression models or neural networks
the model may not capture the full complexity of the data (this is called underfitting)
the model is likely to overfit the training set
This is bad as well as it could mean the model struggles to generalise to a new dataset
let’s load all the libraries we will need for this exercice:
Below is a sample of the first few lines of the dataset
We can load it easily with the Pandas library:
we can plot the dataset using the Matplotlib library:
It’s also generally a good idea to plot histograms of the variables:
you can create a violin plot to understand the distribution of each variable:
I have trained different types of models on the Rhine dataset to establish which one fits best:
The Python code required to create this chart is too long for this blog, but you can access it here
LSTM networks are a form of recurrent neural network that can learn long sequences of data
they are made of memory blocks connected to each other via layers
and enable it to be smarter than a typical neuron
They have been used extensively in academic circles to forecast river height and have been proven to outperform classical hydrological models in certain situations
Let’s start all over again with the code from the beginning of this article to load the Rhine database:
the first (and most difficult) step is to prepare the data
We will frame the problem as predicting today’s rate of change in Kaub water level (t) given the weather and Swiss upstream flows of today and the previous 6 days (backward_steps = 7)
The dataset is standardised using the StandardScaler() function in the Scikit-Learn library
each value in the column has the mean value subtracted
and then divided by the standard deviation of the whole column
This is a pretty ordinary step for most machine learning models and allows the whole network to learn faster (more on this below)
the dataframe is passed through a transformation function
we create a copy of each of the previous 7 days’ values (15 * 7 = 120 columns)
The shape of the resulting dataframe is 7506 rows x 120 columns
A lot of the code was inspired by this fantastic blog post
We must split the prepared dataframe into training and test datasets to allow a fair evaluation of our results
The training dataset represents 80% of our values and we will use the remaining 20% for evaluation
As we are dealing with data ordered through time
it is a very bad idea to shuffle the dataset
we reshape our training and test datasets into three dimensions for later use
I have chosen to fit 64 memory blocks in batch sizes of 72
which is more efficient than the classical gradient descent procedure
we can launch the forecast and invert the scaling to obtain our final results
We can then calculate an error score for the model
the model achieved a root mean squared error (RMSE) of 6.2 centimetres
which is good but can probably be improved on
I have also checked the model’s performance during extreme weather events
such as the extensive floods recorded in Europe in May-June 2016 which caused more than Eur1 billion of damage in Bavaria alone
The model was generally able to track the rise in water levels
however during two particular peaks (one in mid-April and the other in early June) it gave low figures
The trained LSTM network also performed well during storm Axel
which caused a very rapid rise in water height of more than 1 metre on two consecutive days
it gave slightly lower estimates than actual figures when floods peaked
I suspect the low figures are due to one major Rhine tributary
which was left out of the analysis for lack of reliable meteorological data
This is a possible area of improvement in future
Finding the best hyperparameters is one of the most important (and time-consuming) tasks in machine learning
I ran many different versions of the network in order to find the best possible setup:
I have deployed a version of this model online. Its performance can be monitored here
I’ll try to improve this model in future by adding/removing variables and tweaking hyperparameters further. If you have any thoughts, don’t hesitate to get in touch with me
Learn how you can fine-tune visual language models for specific tasks
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Evonik is reshaping its hydrogen peroxide (H2O2) portfolio to become more customer-focused and in response to growing demand for its Hyprox
The German group said it is currently working on an extensive program to realign its four production sites in Europe
The program will see capacity expanded and commissioned this year as well as the establishment of a new logistics center, which Evonik said would enable the business to offer smaller package sizes
Details on actual production figures and the location of the logistics center were not disclosed
head of the company’s Active Oxygens Europe
said that following the realignment Evonik will be faster
more flexible and closer to its customers in various industries
“We want to be able to react to the very different requirements of our customers and to work together with them to develop solution concepts for the future,” she said
which produces around 950,000 t/y of the bleaching agent and claims to be the second largest producer worldwide
expects to finish implementing the measures resulting from its realignment program by the middle of 2018
In separate news, the Korea Herald newspaper reported that Evonik is in talks with South Korea’s SK Chemicals (SKC) to collaborate on H2O2 as well as on hydrogen peroxide-to-propylene oxide (HPPO) technology
SKC said a partnership in HPPO technology could help both companies secure a bigger presence in the PO market
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Xherdan Shaqiri is having trouble building a dream villa in Switzerland
The star of the Swiss national team wants to build the villa in Rheinfelden AG
but he is facing criticism and opposition from the residents of the neighborhood
Shaqiri's future neighbors are also objecting to the lighting
Blick has construction application and project visualization available
Shaqiri is planning to build a multi-storey dream house with 270 square meters
several balconies and a beautiful outdoor area
The concrete villa offers enough space for all families
the garage on the ground floor can accommodate the three cars of the young star of Lyon
There is also an electric charging station
The project was planned by the architect Ernico Kyburz based in Kill]angen
the villa will be able to be built if all the building standards and regulations are met
the chances of the objections being successful are relatively low," he said
But the start of construction may be delayed as a result
"Depending on how far the opponents want to go and the decisions go to different instances
you can count on forced delays of several months or years"
It is still not certain when Shaqiri will move to his new home in Switzerland
with which club he has signed a three-year contract
The business forum "ErfolgsSignale" in Rheinfelden presents stories of entrepreneurs who write a successful company history with special ideas
This is exactly what we want to achieve with our business forum," says initiator and founder Fabrice Müller
who organizes the business forum together with Michèle Dürrenberger
That's why the two organizers keep an intensive lookout for exciting speakers during the year
in order to win them over for an appearance at the Economic Forum in Rheinfelden
At this year's business forum "ErfolgsSignale"
the Fricktal entrepreneur Roland Brack could be won as a speaker
Founded in 1994 as a one-man company by Roland Brack
the company has developed rapidly in the following years
BRACK.CH relied on the Internet and e-commerce at an early stage
which is part of the Competec group of companies
generates most of its sales through its online store BRACK.CH
known among others from the TV show "Höhle des Löwen"
will show the path of his success at the business forum and talk about his innovations and challenges as an entrepreneur
second-generation managing director of the company Schaffner AG in Müllheim
has made a name for itself with its robust metal garden furniture
The down-to-earth patron likes things unpretentious
The history of the Schaffner company is marked by ups and downs
when Schaffner swept the German Brand Award 2017 in Berlin and won two prizes at once
Martin Schaffner will reveal how he got his company on track as a patron and is also in demand internationally with his now iconic garden furniture
he will argue for more court jesters and lateral thinkers in business
Why are these so important for successful entrepreneurship
And how does one become a court jester in business in the first place
the Laufenburg artist and musician Gabriel Kramer will simultaneously put the statements and votes from the speeches on paper in the form of caricatures during the economic forum
he and Sonja Wunderlin from the "Foifer und Weggli Trionettli" will provide musical accompaniment to the event
Due to the renovation work in the Hotel Schützen
the Economic Forum will exceptionally take place in the Capuchin Church this year
an "Apéro riche" will be served by the Hotel Schützen at about 8.15 pm
At the same time the table fair of the sponsors will take place
Seven suspected oil thieves and two vessels — MT Cergen D and MT Rheinfelden — have been apprehended and handed over to the Economic and Financial Crimes Commission (EFCC)
officers of the Central Command of the Nigeria Navy in Yenagoa
“The vessels were arrested at different times
A team of naval officers led by Commodore Bamidupe Babagbale discovered that the first vessel’s name
was altered to MT Cergen D,” he said
000 liters of cargo suspected to be stolen crude oil and six crew members: Dauda Usman
Uwujaren revealed that at the time of the arrest
the crew members had no approval to lift crude oil
612 tons of illegally refined automotive gas oil
Aboard the vessel was one Salami Kazeem (Chief Officer),” he said
The suspects and the vessels were received on behalf of the EFCC by a Senior Detective Superintendent
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