Dynamic Conveyor will display the DynaClean™ line to the food processing industry at Process Expo in Chicago for the first time

Look at your organization and consider the unstructured text or audio data you gather and the possible revelations it may hold. That data reflects the voices of those you serve and holds the potential to help you deliver better experiences, improve quality of care and enrich human engagement. There are powerful stories to be told from your unstructured text data. And the best way for you to find them is with natural language processing.

Text analytics and natural language processing are not new concepts. Most knowledge management professionals have been grappling with these technologies for years. From the KM perspective, these technologies share the same fundamental purpose: They help get the right information to employees at the right time.

Hard to unwind like knots in a rope, magnetic skyrmions are stable magnetic whirls that behave like tiny particles in magnetic thin films. These whirls, only a few nanometers in size offer great potential for next-generation information storage and processing..

Discover the Straight Through Processing (STP) solution that streamlines the end-to-end trading lifecycle and provides real-time trade flow between the front and middle office.

Gallotta, C; Gouwy, S A; Komaromi, L. Geological Survey of Canada, Open File 8792, 2021, 50 pages, https://doi.org/10.4095/328273
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_328273.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_328273.jpg" title="Geological Survey of Canada, Open File 8792, 2021, 50 pages, https://doi.org/10.4095/328273" height="150" border="1" /></a>

Published at LXer: FFmpeg 7.1 "Peter" debuts with full Vulkan encoding pipelines, enhanced AAC decoding, MV-HEVC support, and more. Here's what's new! Read More......

Podcasting is a relatively small market, closing in on a $1 billion run rate. But the category is on fire right now. The New York Times scooped up Serial Productions for a reported $50 million this week in a creative and strategic alliance with sister company This American Life. Terms of the deal were not disclosed and depend on performance goals. The Times bought podcast studio Audm for $8 million in March and is hiring prominent journalists to host new programs. With Serial, the Times owns the 14th largest podcast production company with roughly 4 million listeners and the iconic Serial franchise that was the first breakout hit. Union Square Ventures also announced on Thursday that it is investing in the podcast studio and ad network Headgum.

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This paper reports on the Joaquim Nabuco Project, a pioneering work in Latin America on document digitalization, enhancement, compression, indexing, retrieval and network transmission of historical document images.

To improve the effectiveness of online training for music education, it was investigated how to improve the pulse-coupled neural network in image processing for spectral image segmentation. The study proposes a two-scale descent method to achieve oblique spectral correction. Subsequently, a convolutional neural network was optimised using a two-channel feature fusion recognition network for music theory notation recognition. The results showed that this image segmentation method had the highest accuracy, close to 98%, and the accuracy of spectral tilt correction was also as high as 98.4%, which provided good image pre-processing results. When combined with the improved convolutional neural network, the average accuracy of music theory symbol recognition was about 97% and the highest score of music majors was improved by 16 points. This shows that the method can effectively improve the teaching effect of online training in music education and has certain practical value.

To achieve psychological and emotional analysis of massive internet chats, researchers have used statistical methods, machine learning, and neural networks to analyse the dynamic tendencies of texts dynamically. For long readers, the author first compares and explores the differences between the two psychoanalysis algorithms based on the emotion dictionary and machine learning for simple sentences, then studies the expansion algorithm of the emotion dictionary, and finally proposes an extended text psychoanalysis algorithm based on conditional random field. According to the experimental results, the mental dictionary's accuracy, recall, and F-score based on the cognitive understanding of each additional ten words were calculated. The optimisation decreased, and the memory and F-score improved. An <i>F</i>-value greater than 1, which is the most effective indicator for evaluating the effectiveness of a mental analysis problem, can better demonstrate that the algorithm is adaptive in the literature dictionary. It has been proven that this scheme can achieve good results in analysing emotional tendencies and has higher efficiency than ordinary weight-based psychological sentiment analysis algorithms.

Intelligent digital virtual technology has become an indispensable part of modern construction, but there are also some problems in its practical application. Therefore, it is necessary to strengthen the design of intelligent building image processing systems from many aspects. Starting from image digital processing methods, this paper studies the digital twin virtual design scene construction method and related algorithms, converts the original image into a colour digital image through a greyscale algorithm, and then combines morphological knowledge and feature point extraction methods to complete the construction of a three-dimensional virtual environment. Finally, through the comparison of traditional image processing effects with smart building images based on digital twins and BIM technology, the results show that the optimised image processing results have higher clarity, sharper contrast, and a sensitivity increased by 5.84%, presenting better visual effects and solving the risk of misjudgement caused by inaccurate image recognition.

Aim/Purpose. The most crucial aspects of teaching a foreign language to more advanced learners are building an awareness of discourse modes, how to regulate discourse, and the pragmatic properties of discourse components. However, in different languages, the connections and structure of discourse are ensured by different linguistic means which makes matters complicated for the learner. Background. By uncovering regularities in a foreign language and comparing them with patterns in one’s own tongue, the corpus research method offers the student unique opportunities to acquire linguistic knowledge about discourse markers. This paper reports on an investigation of the functions of multi-word discourse markers. Methodology. In our research, we combine the alignment model of the phrase-based statistical machine translation and manual treatment of the data in order to examine English multi-word discourse markers and their equivalents in Lithuanian and Hebrew translations by researching their changes in translation. After establishing the full list of multi-word discourse markers in our generated parallel corpus, we research how the multi-word discourse markers are treated in translation. Contribution. Creating a parallel research corpus to identify multi-word expressions used as discourse markers, analyzing how they are translated into Lithuanian and Hebrew, and attempting to determine why the translators made the choices add value to corpus-driven research and how to manage discourse. Findings. Our research proves that there is a possible context-based influence guiding the translation to choose a particle or other lexical item integration in Lithuanian or Hebrew translated discourse markers to express the rhetorical domain which could be related to the so-called phenomenon of “over-specification.” Recommendations for Practitioners. The comparative examination of discourse markers provides language instructors and translators with more specific information about the roles of discourse markers. Recommendations for Researchers. Understanding the multifunctionality of discourse markers provides new avenues for discourse marker application in translation research. Impact on Society. The current study may be a useful method to strengthen students’ language awareness and analytic skills and is particularly important for students specializing in English philology or translation. Beyond the empirical research, an extensive parallel data resource has been created to be openly used. Future Research. It should be noted that the observed phenomenon of “over-specification” could be analyzed further in future research.

Scientific experiments, simulations, and modern applications generate large amounts of data. Analysing resources required to process such big datasets is essential to identify application running costs for cloud or in-house deployments. Researchers have proposed keeping data in raw formats to avoid upfront utilisation of resources. However, it poses reparsing issues for frequently accessed data. The paper discusses detailed comparative analysis of resources required by in-situ engines and traditional database management systems to process a real-world scientific dataset. A resource monitoring framework has been developed and incorporated into the raw data query processing framework to achieve this goal. The work identified different query types best suited to a given data processing tool in terms of data to result time and resource requirements. The analysis of resource utilisation patterns has led to the development of query complexity aware (QCA) and resource utilisation aware (RUA) data partitioning techniques to process big raw data efficiently. Resource utilisation data have been analysed to estimate the data processing capacity of a given machine.

Large graphs or automata have their data that cannot fit in a single machine, or may take unreasonable time to be processed. We implement with MapReduce and Giraph two algorithms for intersecting and minimising large and distributed automata. We provide some comparative analysis, and the experiment results are depicted in figures. Our work experimentally validates our propositions as long as it shows that our choice, in comparison with MapReduce one, is not only more suitable for graph-oriented algorithms, but also speeds the executions up. This work is one of the first steps of a long-term goal that consists in a high level distributed graph processing language.

I had one big question after taking on this review: How relevant is this book with the advent of large language models (LLMs)? In the past two years, the launches of OpenAI’s GPT and Google’s Gemma, amongst others, have severely disrupted the study of natural language

Washington – The U.S. Department of Agriculture’s controversial final rule on its New Poultry Inspection System is set to be published and, in response to public comment, will not increase the maximum speed of processing lines.

Boston — Common types of N95 respirators – widely used by health care professionals providing direct care to patients with COVID-19 – can be safely reprocessed up to 25 times to help augment supplies during future pandemics, results of a recent study by Boston researchers suggest.

Corvallis, OR – Injuries among seafood-processing workers in Oregon have eclipsed the statewide average, and the rate appears to be increasing, according to a recent study from Oregon State University.

Washington – A group of House Democrats, led by Rep. Rosa DeLauro (D-CT), is urging Secretary of Agriculture Sonny Perdue to reject a renewed call to increase line speeds in poultry-processing plants.

San Diego — A U.S. Department of Agriculture proposal to remove maximum line speeds in pork-processing plants “will translate into even more illness and injury” among workers, according to the National Council for Occupational Safety and Health.

Washington — The U.S. Department of Agriculture’s Food Safety Inspection Service has denied a National Chicken Council petition seeking unrestricted line speeds in poultry-processing plants.

Washington — The U.S. Department of Agriculture Office of Inspector General is investigating the effectiveness and integrity of USDA’s procedures to develop and advance a controversial proposed rule that would remove maximum line speeds in pork-processing plants, according to a letter obtained by multiple media outlets.

Washington — More than 3 out of 5 Americans are against a U.S. Department of Agriculture proposed rule to remove maximum line speeds in pork-processing plants, according to the results of a recent survey.

Washington — A controversial U.S. Department of Agriculture final rule unveiled Sept. 17 removes maximum line speeds in pork-processing plants and transfers certain inspection responsibilities to plant workers.

Minneapolis — A coalition consisting of the United Food and Commercial Workers International Union, three local affiliate unions and watchdog group Public Citizen is suing the U.S. Department of Agriculture over a controversial final rule that removes maximum line speeds in pork-processing plants and transfers certain inspection responsibilities to plant workers.

Washington — The U.S. Department of Agriculture’s Food Safety Inspection Service in April approved 15 poultry processing plants’ requests to increase line speeds 25% – despite reported cases of COVID-19 among workers and at least one fatality related to the ongoing pandemic, according to a new policy brief from the National Employment Law Project.

Tumwater, WA — A new fact sheet from the Washington State Department of Labor & Industries is aimed at helping food processing and warehouse employers protect their workers from exposure to COVID-19.

Washington — The U.S. Department of Agriculture “did not take adequate steps to determine whether the worker safety data it used … were reliable” when proposing a controversial rule that removes line speeds in pork-processing plants and transfers certain inspection responsibilities to plant workers, the USDA Office of Inspector General concludes in a report released June 25.

Washington — A new online toolkit from the Centers for Disease Control and Prevention is intended to assist safety professionals and health officials in assessing COVID-19 pandemic-related prevention and control measures at meat and poultry processing facilities.

Washington — OSHA, the Centers for Disease Control and Prevention, and the Food and Drug Administration have released joint interim guidance intended to help seafood processing employers reduce COVID-19 exposure among workers, including those at onshore facilities and aboard offshore vessels.

Washington — A controversial U.S. Department of Agriculture rule that would permit line speeds at certain poultry processing plants to increase to 175 birds a minute from the current 140 is under review by the White House Office of Management and Budget.

Washington — President Joe Biden on Jan. 22 signed an Executive Order withdrawing a controversial U.S. Department of Agriculture proposed rule that would have permitted line speeds at certain poultry-processing plants to increase to 175 birds a minute from the current 140.

Washington — Legislation reintroduced March 11 by Sen. Cory Booker (D-NJ) and Reps. Rosa DeLauro (D-CT) and Bennie Thompson (D-MS) would prohibit line speed increases in meat and poultry-processing plants during the evolving COVID-19 pandemic.

Minneapolis — The U.S. District Court for the District of Minnesota upheld a lawsuit against the U.S. Department of Agriculture on March 31, ruling that a controversial final rule that removes line speeds in pork-processing plants and transfers certain inspection responsibilities to plant workers compromises worker health and consumer welfare.

Washington — The U.S. Department of Agriculture has indicated it will accept a March ruling of the U.S. District Court for the District of Minnesota that prohibits the removal of maximum line speeds in pork-processing plants.

Washington — The U.S. Department of Agriculture’s Food Safety Inspection Service, in collaboration with OSHA, will allow select pork-processing facilities – on a trial basis – to operate at increased line speeds for up to one year while gathering data that “measures the impact of line speed on workers.”

Washington — Seeking to “best assess” the impact of increased line speeds on worker safety in poultry-processing plants, the U.S. Department of Agriculture’s Food Safety Inspection Service plans to study the effects.

Washington — A trial that allows select pork-processing facilities to operate at increased line speeds will continue, the U.S. Department of Agriculture’s Food Safety Inspection Service says.

Washington – A coalition of advocacy groups is calling for the U.S. Department of Agriculture to restart the rulemaking process on a proposed poultry rule and address worker safety concerns.

Atlanta – As the nation prepares to cook millions of turkeys in recognition of Thanksgiving Day, a coalition of worker safety and consumer advocates once again have voiced their opposition to a proposed Department of Agriculture rule that would speed up line speeds at poultry-processing plants.

Washington — The U.S. Department of Agriculture used flawed worker injury data to advance its controversial proposal to remove maximum line speeds in pork-processing plants, according to the National Employment Law Project, an advocacy group.

Washington — Current NIOSH and industry regulations and professional guidelines aimed at preventing unintentional exposure to pathogens during the sterile processing of medical devices may not be sufficient to ensure provider and patient safety, results of a recent study suggest.

Washington — The U.S. Department of Agriculture says it’s extending a trial of faster line speeds at select pork-processing facilities so it can design a study to assess worker safety.

Washington — The U.S. Department of Agriculture has again extended a trial of faster line speeds at select pork-processing facilities, saying it’s continuing to study the effect on worker safety.

Washington — A new hazard alert from OSHA is aimed at increasing awareness and ensuring actions are being taken to reduce the “alarming number” of serious, preventable injuries in poultry, meat and other food processing establishments.