A technical feasibility study was carried out at the wastewater treatment plant (WWTP) Hamm-West in 2018, which included preliminary planning for the improvement of the plant, using different advanced wastewater technologies. The results of the technical feasibility study show that the application of activated carbon or ozone, in combination with an additional filtration system, can not only remove organic micropollutants efficiently but can also significantly improve the quality of other standard parameters in the WWTP effluent. This technical feasibility study, along with seven other studies, is part of the module-based approach the Emschergenossenschaft and Lippeverband (EGLV) is pursuing in order to improve wastewater treatment plants with advanced treatment systems. Finally, the module-based approach can be used to pair the most suitable WWTPs with the best applicable technologies to improve the treatment process in the whole Lippe catchment area.
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http://dx.doi.org/10.2166/wst.2021.029 | DOI Listing |
PeerJ Comput Sci
February 2024
School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Named entity recognition (NER) and relation extraction (RE) are two important technologies employed in knowledge extraction for constructing knowledge graphs. Uni-modal NER and RE approaches solely rely on text information for knowledge extraction, leading to various limitations, such as suboptimal performance and low efficiency in recognizing polysemous words. With the development of multi-modal learning, multi-modal named entity recognition (MNER) and multi-modal relation extraction (MRE) have been introduced to improve recognition performance.
View Article and Find Full Text PDFBMC Bioinformatics
December 2024
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
Indian J Psychol Med
May 2024
Dept. of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Background: Common mental health disorders (CMDs) affect nearly 10% of the population, with the majority (80%) remaining untreated. Culturally relevant counseling approaches can be a means to reach many untreated persons. We describe the development and validation of a socioculturally relevant counseling module based on the for persons with CMDs.
View Article and Find Full Text PDFMed Image Anal
January 2025
Department of Surgical & Interventional Engineering, King's College London, United Kingdom. Electronic address:
Online surgical phase recognition plays a significant role towards building contextual tools that could quantify performance and oversee the execution of surgical workflows. Current approaches are limited since they train spatial feature extractors using frame-level supervision that could lead to incorrect predictions due to similar frames appearing at different phases, and poorly fuse local and global features due to computational constraints which can affect the analysis of long videos commonly encountered in surgical interventions. In this paper, we present a two-stage method, called Long Video Transformer (LoViT), emphasizing the development of a temporally-rich spatial feature extractor and a phase transition map.
View Article and Find Full Text PDFSci Rep
October 2024
College of Computer and Communication, Hunan Institute of Engineering, Xiangtan, 411104, Hunan, China.
Monocular depth estimation is an important but challenging task. Although the performance has been improved by adopting various encoder-decoder architectures, the estimated depth maps lack structure details and clear edges due to simple repeated upsampling. To solve this problem, this paper presents the novel LapUNet (Laplacian U-shape networks), in which the encoder adopts ResNeXt101, and the decoder is constructed with the novel DLRU (dynamic Laplacian residual U-shape) module.
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