The popular White Cheddar Mac & Cheese is now available in a new size that offers five different preparation methods to suit kitchens of any size, including boil-in-bag, microwave, pizza oven/impinger, rapid-cook oven, and steamer. 

Every step of the production process and the supply chain is under scrutiny. Filling equipment is not exempt.

Inspired by the classic Tex-Mex dish, Bob Evans Queso Macaroni & Cheese features a rich queso flavor, hints of spice and fresh green and red peppers to bring bold, authentic flavors to gatherings. 

Vertical form fill seal (VFFS) machines can mean different things to different people. The criteria used in evaluating, and ultimately determining, which bagging machine to buy is likely different if you are a small startup manufacturer versus operating for a global Fortune 500 brand.

The eight-lane machine provides auger filling of 40 grams of powder at 75 cycles per minute.

ProMach’s Wine & Spirits Solutions team is positioned to solve the unique challenges of processing and packaging traditional bottled products, small-format bottles and ready-to-drink (RTD) products in cans and single-serve bottles.

HMC fabricates and installs new HMC HFFS machines and rebuilt HMC/Bartelt HFFS machines for flexible packaging solutions across numerous industries.

Stiles Machinery will showcase surface solutions, such as sanding, veneering, and finishing at the International Woodworking Fair (IWF) in booth 4835 in Hall B, located at the Georgia World Congress Center in Atlanta, Georgia, from August 6 – 9, 2024.

While the vocabulary doesn’t have to be large, each machine should know about stops and starts upstream and downstream.

As packaging has become significantly more complex and consumers more demanding, the need has only grown for strict hygienic procedures to ensure food safety, from the factory to the retail shelf to the table.

The beer and beverage maker turned to PET Technologies to improve productivity, reduce downtimes and increase brand awareness.

Oxipital AI’s 3D vision and AI offerings aim to be more convenient and effective through a different method of “training” its products.

As companies seek to enhance precision, increase efficiency and reduce costs, AI-driven computer numerical control (CNC) machining is emerging as a game-changing innovation.

The new variety is made with real cheese, milk and peppers, and comes in a heat-and-eat 20-oz. package so it can be microwave ready in five minutes.

Children's Geographies; 10/01/2022
(AN 159948781); ISSN: 14733285
Academic Search Premier

Children's Geographies; 04/01/2023
(AN 163915534); ISSN: 14733285
Academic Search Premier

Volume 33, Issue 1, January-March 2024, Page 1-56. Read the full article ›

The post Edward Trautner (1890–1978), a pioneer of psychopharmacology was curated by information for practice.

The post Feeling close to others? Social cognitive mechanisms of intimacy in personality disorders was curated by information for practice.

An internship with Arm gives you exposure to real work and insight into the Arm innovations that shape extraordinary. Students who thrive at Arm take their love of learning beyond their experience of formal education and develop new ideas. This is the energy that interests us.

Internships at Arm will give you the opportunity to put theory into practice through exciting, intellectually challenging, real-world projects that enrich your personal and technical development while enhancing your future career opportunities.

This internship position is within Machine Learning Group in Arm which works on key technologies for the future of computing. Working on the cutting edge of Arm IP, this Group creates technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more.

When applying, please make sure to include your most up to date academic transcript.

For a sneak peek what it’s like to work in Arm Lund, please have a look at the following video: http://bit.ly/2kxWMXp

The Role

You will work alongside experienced engineers within one of the IP development teams in Arm and be given real project tasks and will be supported by experienced engineers. Examples of previous project tasks are:

• Developing and trialing new processes for use by the design/verification teams.
• Investigating alternative options for existing design or verification implementations.
• Help to develop a hardware platform that can guide out customers to the best solution.
• Implement complex logic using Verilog to bridge a gap in a system.
• Develop bare metal software to exercise design functionality.
• Verify a complex design, from unit to full SoC level.
• Help to take a platform to silicon.

Arm's Machine Learning Group is seeking for a highly motivated and creative Graduate Software Engineer to join the Cambridge-based applied ML team.

From research, to proof-of-concept development, to deployment on ARM IPs, joining this team, would be a phenomenal opportunity to contribute to the full life-cycle of machine learning projects and understand how state-of-the-art machine learning is used to solve real word problems.

Working closely with field experts in a truly multi-discipline environment, you will have the chance to explore existing or build new machine learning techniques, while helping unpick the complex world of use-cases that are applied on high end mobile phones, TVs, and laptops.

About the role

Your role would be to understand, develope and implement these use case, collaborating with Arm's system architects, and working with our marketing groups to ensure multiple Arm products are molded to work well for machine learning. Also, experience deploying inference in a mobile or embedded environment would be ideal. Knowledge of the theory and concepts involved in ML is also needed, so fair comparisons of different approaches can be made.

As an in depth technical role, you will need to understand the complex applications you analyse in detail and communicate them in their simplest form to help include them in product designs, where you will be able to influence both IP and system architecture.

The post Machine Learning Technology in Predicting Relapse and Implementing Peer Recovery Intervention Before Drug Use Occurs was curated by information for practice.

Current Directions in Psychological Science, Ahead of Print. The success of methods based on artificial neural networks in creating intelligent machines seems like it might pose a challenge to explanations of human cognition in terms of Bayesian inference. We argue that this is not the case and that these systems in fact offer new opportunities […]

The post Bayes in the Age of Intelligent Machines was curated by information for practice.

Attending a production of Macbeth may require one to have mental preparation—to face multiple murders with dark schemes guided...

The Los Angeles medical examiner said cocaine and ethanol were also present at the time of death.

Striking machinists voted to reject an agreement that would have boosted wages by 35 percent. It’s another blow for Boeing, which reported a $6 billion quarterly loss on Wednesday.

What would a McDonald’s be without its temperamental McFlurry machines? We may be closer to finding out.

An alleged photo showing Pastor Steve Lawson next to a woman believed to be his mistress has emerged online amid new scrutiny about the role of a California megachurch in the scandal.

El caso fue dirigido por los investigadores del Departamento de Seguros de Texas (TDI por su nombre y siglas en inglés) y los fiscales trabajando con la Oficina del Fiscal del condado Harris.

El exjugador de la NFL Corey Bradford se declaró culpable por presentar reclamaciones fraudulentas para reembolso de salud después de una investigación realizada por la Unidad de Fraude del Departamento de Seguros de Texas (TDI por su nombre y siglas en inglés).

James Adkisson, el exjugador de la NFL se declaró culpable por presentar reclamaciones fraudulentas de más de $33,000 para reembolso de salud después de una investigación realizada por la Unidad de Fraude del Departamento de Seguros de Texas (Texas Department of Insurance, TDI, por su nombre y siglas en inglés).

Los residentes cuyas propiedades hayan sufrido daños por los incendios forestales de Texas deben llamar a su compañía de seguros para presentar una reclamación lo antes posible.

El Departamento de Seguros de Texas (Texas Department of Insurance, TDI, por su nombre y siglas en inglés) les recuerda a las víctimas de las inundaciones que deben documentar los daños y presentar las reclamaciones al seguro de inmediato.

The so-called “Peace Summit” held in Switzerland had an obvious outcome. It didn't lead anywhere. It could, since from the beginning the failure of the alleged negotiations was imminent. Convened at the request of Ukrainian President Vladimir Zelensky, the high-level meeting was not attended by Russia. As the Brazilian government rightly argued, a meeting that wants to discuss the steps to end a conflict cannot take place without all sides of the conflict being represented and with the same rights to speak. Russia was not invited. He had also already said that he would not participate in a meeting in Switzerland anyway, since the country abandoned its traditional neutrality status by joining the United States and Europe's campaign against the Russians.

The big loser in the French elections was not the far right. It's true that if it hadn't been for the spurious agreements between the New Popular Front and the Macronists, the National Regroupment would have grown even more. But the result of the second round is not exactly a victory for the left. After Marine Le Pen's RN led the first round of the elections, the leaders of the NFP fell into the trap of the French press and Emmanuel Macron, abandoning numerous candidates of their own to increase the chances of the neoliberal right linked to the Renaissance party beating the far right.  The French big bourgeoisie called for a "republican front" to create a "cordon sanitaire" made up of the left and the neoliberal right in order to prevent a landslide victory for the RN, which led to agreements in around 220 constituencies for the candidate with supposedly the least chance of winning the RN to abandon the race in favour of the candidate with the greatest chance. Except that most of the abandonments were by the NFP so that Macron's allies could beat Le Pen's allies, even though the NFP came second in the first round, far ahead of Macron's coalition.

Utimaco has released new consumer research that has found a low level of trust around Internet of Things (IoT) devices. This has highlighted the need for more education from industry into how smart devices are secured with the latest digital security solutions.

Updated September 16, 2006: In evolutionary biology today macroevolution is used to refer to any evolutionary change at or above the level of species. It means the splitting of a species into two or the change of a species over time into another. This FAQ has been expanded, updated, illustrated, and rewritten.

Today, the Bronx Zoo announced that Idina Menzel, Tony Award-winner, actress, philanthropist and multi-platinum-selling singer/songwriter, will perform in the 98th Macy's Thanksgiving Day Parade(r) on the zoo's new "Wondrous World of Wildlife" float.

We rely on our washing machine to wash our dirty laundry, but what if it's the cause of dirty clothes? Is there any recourse when our washing machine leaves stains on our clothes?

Modern PCs and Macs use built-in Bluetooth to easily connect to your phone's AirPods. We'll show you how.

Can't figure out how to delete an entire page in Word? It's easy. We'll show you how.

Small-angle X-ray scattering (SAXS) is widely used to analyze the shape and size of nanoparticles in solution. A multitude of models, describing the SAXS intensity resulting from nanoparticles of various shapes, have been developed by the scientific community and are used for data analysis. Choosing the optimal model is a crucial step in data analysis, which can be difficult and time-consuming, especially for non-expert users. An algorithm is proposed, based on machine learning, representation learning and SAXS-specific preprocessing methods, which instantly selects the nanoparticle model best suited to describe SAXS data. The different algorithms compared are trained and evaluated on a simulated database. This database includes 75 000 scattering spectra from nine nanoparticle models, and realistically simulates two distinct device configurations. It will be made freely available to serve as a basis of comparison for future work. Deploying a universal solution for automatic nanoparticle model selection is a challenge made more difficult by the diversity of SAXS instruments and their flexible settings. The poor transferability of classification rules learned on one device configuration to another is highlighted. It is shown that training on several device configurations enables the algorithm to be generalized, without degrading performance compared with configuration-specific training. Finally, the classification algorithm is evaluated on a real data set obtained by performing SAXS experiments on nanoparticles for each of the instrumental configurations, which have been characterized by transmission electron microscopy. This data set, although very limited, allows estimation of the transferability of the classification rules learned on simulated data to real data.

New software capabilities in RMCProfile allow researchers to study the structure of materials by combining machine learning interatomic potentials and reverse Monte Carlo.

This paper describes real-time statistical analysis of liquid jet images for SFX experiments at the European XFEL. This analysis forms one part of the automated jet re-alignment system for SFX experiments at the SPB/SFX instrument of European XFEL.

RAPID (RAtio method Pattern InDexing) is an ImageJ macro script developed for the quick determination of sample orientation and indexing of calibrated and uncalibrated zone axis aligned electron diffraction patterns from materials with a cubic crystal structure. In addition to SAED and NBED patterns, the program is also capable of handling zone axis TEM Kikuchi patterns and FFTs derived from HR(S)TEM images. The software enables users to rapidly determine whether materials are cubic, pseudo-cubic, or non-cubic, and to distinguish between P, I, and F Bravais lattices. It can also provide lattice parameters for material verification and aid in determining the camera constant of the instrument, thus making the program a convenient tool for on-site crystallographic analysis in the TEM laboratory.

N-terminally hexahistidine-tagged O. volvulus macrophage migration inhibitory factor-1 has a unique jellyfish-like structure with the prototypical macrophage migration inhibitory factor trimer as the `head' and a C-terminal extension as the `tail'.

Structure refinement with reverse Monte Carlo (RMC) is a powerful tool for interpreting experimental diffraction data. To ensure that the under-constrained RMC algorithm yields reasonable results, the hybrid RMC approach applies interatomic potentials to obtain solutions that are both physically sensible and in agreement with experiment. To expand the range of materials that can be studied with hybrid RMC, we have implemented a new interatomic potential constraint in RMCProfile that grants flexibility to apply potentials supported by the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) molecular dynamics code. This includes machine learning interatomic potentials, which provide a pathway to applying hybrid RMC to materials without currently available interatomic potentials. To this end, we present a methodology to use RMC to train machine learning interatomic potentials for hybrid RMC applications.

Small-angle X-ray scattering (SAXS) is a widely used method for nanoparticle characterization. A common approach to analysing nanoparticles in solution by SAXS involves fitting the curve using a parametric model that relates real-space parameters, such as nanoparticle size and electron density, to intensity values in reciprocal space. Selecting the optimal model is a crucial step in terms of analysis quality and can be time-consuming and complex. Several studies have proposed effective methods, based on machine learning, to automate the model selection step. Deploying these methods in software intended for both researchers and industry raises several issues. The diversity of SAXS instrumentation requires assessment of the robustness of these methods on data from various machine configurations, involving significant variations in the q-space ranges and highly variable signal-to-noise ratios (SNR) from one data set to another. In the case of laboratory instrumentation, data acquisition can be time-consuming and there is no universal criterion for defining an optimal acquisition time. This paper presents an approach that revisits the nanoparticle model selection method proposed by Monge et al. [Acta Cryst. (2024), A80, 202–212], evaluating and enhancing its robustness on data from device configurations not seen during training, by expanding the data set used for training. The influence of SNR on predictor robustness is then assessed, improved, and used to propose a stopping criterion for optimizing the trade-off between exposure time and data quality.

An integrated computer software system for macromolecular crystallography (MX) data collection at the BL02U1 and BL10U2 beamlines of the Shanghai Synchrotron Radiation Facility is described. The system, Finback, implements a set of features designed for the automated MX beamlines, and is marked with a user-friendly web-based graphical user interface (GUI) for interactive data collection. The Finback client GUI can run on modern browsers and has been developed using several modern web technologies including WebSocket, WebGL, WebWorker and WebAssembly. Finback supports multiple concurrent sessions, so on-site and remote users can access the beamline simultaneously. Finback also cooperates with the deployed experimental data and information management system, the relevant experimental parameters and results are automatically deposited to a database.