Volume 5 - 2023 | https://doi.org/10.3389/frwa.2023.1298465 This article is part of the Research TopicApplied Machine Learning for River Components StudiesView all 3 articles Supervised Deep Learning (DL) methods have shown promise in monitoring the floating litter in rivers and urban canals but further advancements are hard to obtain due to the limited availability of relevant labeled data researchers often utilize techniques such as transfer learning (TL) and data augmentation (DA) there is no study currently reporting a rigorous evaluation of the effectiveness of these approaches for floating litter detection and their effects on the models' generalization capability To overcome the problem of limited data availability this work introduces the “TU Delft—Green Village” dataset a novel labeled dataset of 9,473 camera and phone images of floating macroplastic litter and other litter items captured using experiments in a drainage canal of TU Delft We use the new dataset to conduct a thorough evaluation of the detection performance of five DL architectures for multi-class image classification We focus the analysis on a systematic evaluation of the benefits of TL and DA on model performances we evaluate the generalization capability of these models for unseen litter items and new device settings such as increasing the cameras' height and tilting them to 45° for the specific problem of floating litter detection fine-tuning all layers is more effective than the common approach of fine-tuning the classifier alone we find that simple image flipping boosts model accuracy the most while other methods have little impact on the performance The SqueezeNet and DenseNet121 architectures perform the best achieving an overall accuracy of 89.6 and 91.7% We also observe that both models retain good generalization capability which drops significantly only for the most complex scenario tested but the overall accuracy raises significantly to around 75% when adding a limited amount of images to training data The detailed analyses conducted here and the released open source dataset offer valuable insights and serve as a precious resource for future research While reported results are encouraging, DL-based detection of floating litter faces several challenges, as recently highlighted by Gnann et al. (2022) and Jia et al. (2023) One major challenge is the need of large annotated datasets to train and validate robust DL models Acquiring a sufficiently large dataset can be time-consuming training models from scratch or with non-augmented datasets) did not generalize well to a different location of the same city resulting in a drop in precision from 68.7 to 54.0% This degradation in performance was attributed to the presence of a large amount of organic material (e.g. which was not accounted for during training no study exists on DL-based litter detection reporting a rigorous comparison of TL strategies DA techniques and their effects on generalization we contribute to closing this gap and reduce the issue of data availability by performing a thorough analysis on a novel dataset of floating litter The key contributions of this paper can be summarized as follows: We release the “TU Delft—Green Village” (TUD-GV) dataset a novel labeled dataset of camera and phone images of floating litter collected from semi-controlled experiments in a drainage canal of the TU Delft Campus We train and test five deep learning architectures for multi-class image classification (ResNet50 and evaluate the benefits of multiple TL strategies and DA techniques on detection performance; We perform tailored experiments to investigate and improve the out-of-sample generalization capability of the best performing architectures considering unseen litter items and new device settings (i.e. increasing the cameras' height and tilting the viewing angle to 45°) This study is aiming primarily at researchers developing novel DL methods for improved detection and quantification of floating litter in rivers and canals. The insights summarized above can contribute to other stakeholders such as various technology providers, consultants, governmental organizations, and Non-Governmental Organizations (NGOs) to develop more robust DL models for cleaning up campaigns and mitigation of environmental pollution (Jia et al., 2023) The remainder of the paper is structured as follows Section 3 presents the methodology used in this study and proposed approaches to improve generalization capability Section 4 describes three sets of experiments we present and discuss the experimental results Monitoring setup at The Green Village: (A) view from the top with the four different filming locations (1–4) on the bridge; (B) details of some camera installation on Locations 1 and 2 Examples of images from the TUD-GV dataset captured from four device setups including (A) 2.7 m/0° The captions for the four images are (A) no litter The image (C) was cropped to omit the bridge The TUD-GV dataset described above is one of the most complete and accessible datasets for detecting floating litter using computer vision, and a much needed supplement to existing datasets made available by other researchers (van Lieshout et al., 2020; Wolf et al., 2020) The reader is referred to the literature for more details on the employed architectures A typical CNN for image classification consists of several convolutional blocks and a classifier. The convolutional blocks are made up of convolutional and pooling layers, which are used to extract features from images. The classifier typically consists of fully connected dense layers that are used to classify images based on the features extracted by the convolutional base (Subramanian et al., 2022) we replaced the original classifier in each CNN architecture with a global average pooling layer followed by a dense layer with a softmax activation function for multi-class classification (i.e. Global average pooling summarizes the feature maps produced by the convolutional base to reduce overfitting and computational costs We evaluated the benefits of the most common transfer learning strategies (Guo et al., 2020): (1) fine-tuning the classifier alone (FTC), and (2) fine-tuning all layers (FTAL). We evaluated the effect of transferring features learned on the ImageNet IC task to floating litter detection, a common approach in the field (Jia et al., 2023) The ImageNet dataset is a widely used benchmark dataset for IC tasks balloon and strawberry) and over 14 million images we first loaded the model pre-trained on ImageNet then replaced and fine-tuned the classifier on the TUD-GV dataset while freezing the convolutional base (i.e. we fine-tuned all layers of the model on the TUD-GV dataset after loading the ImageNet weights as the starting point and replacing the classifier We compared the effectiveness of FTC and FTAL against the performances obtained by training the models from scratch Each DA method mentioned above was applied to generate three new images for each original training image MIX DA includes all images generated by the other four DA methods resulting in a total of 12 new images for each original training image Examples of data augmentation techniques used (Left) An original image; (Right) images generated by performing horizontal flipping (top row combined horizontal and vertical flipping (middle row and adding salt and pepper noise (bottom row we tested the generalization capability of the trained models to different types of litter from various device setups (camera height/angle) We trained the models on images of canal litter from the 2.7 m/0° setup and evaluated their out-of-sample performances on images of household waste from 2.7 m/0° we applied three methods to improve the models' generalization capability which are (1) using the best DA method emerging from our study on data augmentation; (2) adding new images to the training dataset (ANI); and (3) using the best DA method after adding new images to the training dataset (ANI-DA) All the new images added to the original training dataset still featured canal litter and 4 m/45° setups to better represent the out-of-sample distributions In this study, we conducted three experiments to: (1) compare the performances of the five DL architectures, with and without transfer learning; (2) assess the performance boost of the five different DA approaches on the two best performing models from (1); and (3) evaluate and improve the generalization capability of the best models for unseen litter (e.g., household waste) and different device setups. Figure 4 shows the flowchart of three experiments mixing all the four aforementioned techniques; DA adding new images to original training dataset; ANI-DA With the first experiment we compared the detection performances of the five chosen DL architectures (i.e., ResNet, InceptionV3, DenseNet121, MobileNetV2, and SqueezeNet) and we assessed the benefits of the FTC and FTAL strategies described in Section 3.2. We used a shuffled subset of 4,005 images with canal litter for model development, subdivided into training, validation, and test datasets following the 80/10/10 split detailed in Table 2 Ratios between the different classes is kept constant across the different datasets All images have been recorded from the action cameras with the 2.7 m/0° setup We applied the five different DA techniques in Section 3.3 to the two top performing baseline models emerging from Experiment 1. These were retrained on the augmented datasets yielded by applying each DA techniques, resulting in 12,812 or 41,639 training images (MIX DA). For a fair comparison against the baselines, we used the same Validation and Test datasets of Experiment 1 (see Table 2) We created the TrainANI dataset by adding 1,523 images (4,726 total) of canal litter to the Train dataset of Experiment 1 from the three missing device setups (2.7 m/45° The TrainANI − DA dataset was created by performing DA on TrainANI resulting in a total of 18,904 training images We validated the models for both ANI and ANI-DA cases on the ValidationANI dataset obtained by adding 188 images of canal litter to the Validation dataset of Experiment 1 We compared these models against the baselines of Experiment 1 and the best performing models with DA of Experiment 2 The weight of each class was calculated as the ratio of the total number of images to the number of images in that particular class we repeated the training 10 times for each model in all experiments All the results reported in Section 5 are mean values calculated from these runs unless we discuss the outcomes of misclassification analysis which we conducted on the best performing models out of the 10 runs We implemented the DL architectures using the Python programming language (version 3.8.5) and the Keras DL framework (version 2.6.0). We used the implementations and pre-trained weights from tf.keras.applications for all architectures, except for SqueezeNet.1 Model development was performed on a local NVIDIA GeForce RTX 3090 GPU (24GB) To evaluate model performances of floating litter detection, we used four metrics commonly employed in multi-class IC tasks: overall accuracy (OA), precision, recall, and F1-score (Jia et al., 2023) We used OA to summarize model performance across all classes This metric measures the percentage of correctly identified images out of the total images in the dataset where N is the total number of images; K represents the number of classes; and Ci i denotes the number of images that are actually in class i and identified as such recall and F1-score to assess the performances for each class Precision for class i is written as follows: where TPi (True Positive) represents the number of correctly classified images of class i; and FPi (False Positive) represents the number of images misclassified as class i Recall for class i is expressed as follows: where FNi (False Negative) represents the number of images that are actually in class i but classified as other classes Precision reflects how accurate is the model in identifying relevant samples It identifies the percentage of correctly identified positive samples over the total identified positive samples recall represents the model's ability to identify all relevant samples It is the percentage of correctly identified positive samples over the total positive samples F1-score combines the two metrics by computing their harmonic mean Table 4 reports the average training time and OA on the Test dataset for the five architectures trained from scratch or fine-tuned after transfer learning. In this table, we only reported the learning rate that yields the best average OA on the validation set for each architecture. The full evaluation of the five architectures with all tested learning rates can be found in Supplementary material The FTAL method consistently outperforms the other methods regardless of the architecture we obtained OA ranging from 85.0 to 87.6% on the Test set Training models from scratch performs slightly worse than the FTAL method with OAs varying between 62.3 and 73.3% depending on the architecture switching from FTC to FTAL with ResNet50 yields a significant improvement of +22.7% in OA the FTC method consistently takes the least training time costing between 2 and 9 s for each training epoch That is ~2 to 5 times faster than using the FTAL method or training the models from scratch This is expected since training or fine-tuning the entire network takes significantly more time than fine-tuning the classifier alone and overall accuracy of all architectures for Experiment 1 Our findings are similar to those reported by Marin et al. (2021) for a study on CNN architectures detecting underwater litter The authors classified images into six classes: glass the FTAL strategy proved more successful than resorting to FTC with best performance on the test dataset of OA = 91.4% compared to 83.0% We observed a relatively high number of errors for images belonging to the “moderate litter” class are sometimes confused with “little litter” (14 case) or “lots of litter” (5 case) resulting in the lowest F1-scores for this class across all architectures F1-score per class of all architectures trained using the FTAL strategy for Experiment 1 Confusion matrix of the best performing DenseNet121 trained with the FTAL strategy for Experiment 1 Performances of SqueezeNet and DenseNet121 using different DA techniques for Experiment 2 The horizontal dashed line represents the OA of the baseline models and (5) mixing the four above-mentioned techniques (MIX DA) This trade-off should be considered when choosing a model for a particular specific litter detection task Although the generalization capability in this case is already satisfactory DenseNet121 models trained with DA and ANI-DA show significant increases is OA of +5.4 and +6.2% while ANI alone does not provide a similar boost Lesser improvements are also measured for SqueezeNet it requires the time-consuming and costly collection of new data simple flipping augmentation may be the most cost-effective method to improve the generalization capability under the same device setup Out-of-sample generalization performances of SqueezeNet (A) and DenseNet121 (B) on Experiment 3 featuring baseline models and models leveraging techniques for improved generalization Comparison performed on datasets of four device setups (2.7 m/0° and 4 m/45°) with household litter The SqueezeNet and DenseNet121 baselines exhibit good performances on Test2.7m/45°, with OA of 90.7 and 83.8%, respectively. Overall, results are similar or better than for the simpler Test2.7m/0° because Test2.7m/45° consists exclusively of images taken in cloudy weather. Sunny weather images are harder to classify due to the presence of sun glints (Jakovljevic et al., 2020) The three approaches significantly improve the generalization capability of DenseNet121 we could not improve the performances of SqueezeNet further suggesting that this small architecture cannot incorporate larger amount of data effectively SqueezeNet still retains good generalization capability with OAs above 86.7% Common misclassified examples in the Test4m/0° and the Test4m/45° datasets for the best baseline SqueezeNet model Common misclassification include identifying sun glints as litter and detection of background objects or external items The ANI method outperforms simple flipping augmentation on these harder datasets with improvements of around +11% for both architecture in each setup While flipping grants significant increases of up to +9.4% in Test4m/0° it fails to support generalization for the more complex Test4m/45° This suggests that simple data augmentation fails to boost generalization when the out-of-sample distribution is significantly different from the training one (e.g. collecting new data from the new setup is necessary to achieve satisfactory performances Performing DA after gathering new images can result in further improvements as demonstrated in Test4m/0° for both SqueezeNet and DenseNet121 (i.e. respectively) and in Test4m/45° for DenseNet121 (OA = 77.7%) providing more meaningful context than ImageNet or other general purpose datasets the development of these models can benefit directly from the insights provided by this study Supervised Deep Learning methods are increasingly used for automatic detection of floating litter in aquatic environments These methods require large amounts of carefully labeled data to reach satisfactory performances and exhibit strong generalization capability there is a major lack of available datasets for researchers and practitioners willing to develop and test their models we introduced the “TU Delft-Green Village” (TUD-GV) dataset a collection of almost 10,000 labeled images of different floating litter recorded from semi-controlled experiments on a small drainage canal in the TU Delft Campus We demonstrated the usefulness of our data by carrying out a thorough comparison of different DL architectures and approaches to improve out-of-sample generalization for unseen litter and device setups The main findings of our work are as follows: (1) DenseNet121 and SqueezeNet proves the most successful architectures thanks to their innovative designs that allow for efficient feature discovery for floating litter classification with limited trainable parameters (2) We obtained the highest accuracy by loading models pre-trained on ImageNet and fine-tuning the entire network on floating litter images The benefits of this approach in terms of detection performance outweigh the shorter training times required by fine-tuning the classifier alone Transferring the convolutional base from ImageNet seems a better approach than training the models from scratch (3) We recommend flipping data augmentation (DA) to improve model detection performances at relatively low cost since the additional images are easy to generate and maintain high fidelity to the original labels while providing extra training information and adding noise do not show a significant improvement in detecting floating litter (4) The trained models generalize well to similar conditions such as detecting unseen litter items from images captured at the same height Flipping data augmentation may boost generalization performance in these circumstances but it is insufficient when transferring to more complex scenarios (e.g. different camera heights and different viewing angle) We demonstrated that adding a limited amount of images from these new settings to the original training dataset can substantially improve generalization in these cases scaling and perspective skewing transformations may improve generalization for the most complex scenario featured in TUD-GV This investigation should be paired with an in-depth analysis to evaluate the variation of litter detection performance with respect to item size and camera inclination Multi-scale data augmentation can also improve generalization performances for applications using cameras with different resolutions The code for this study is available on https://github.com/TianlongJia/deep_plastic. The “TU Delft-Green Village” dataset is available for download from Zenodo at https://doi.org/10.5281/zenodo.7636124 The author(s) declare financial support was received for the research This work was supported by China Scholarship Council (No 202006160032) and the Directorate-General for Public Works and Water Management of The Netherlands (Rijkswaterstaat) AV and RV were employed by Noria Sustainable Innovators The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/frwa.2023.1298465/full#supplementary-material 1. ^https://github.com/rcmalli/keras-squeezenet CrossRef Full Text | Google Scholar Predicted growth in plastic waste exceeds efforts to mitigate plastic pollution An embeddable algorithm for automatic garbage detection based on complex marine environment Google Scholar Synthetic and non-synthetic anthropogenic fibers in a river under the impact of paris megacity: Sampling methodological aspects and flux estimations CrossRef Full Text | Google Scholar Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R CrossRef Full Text | Google Scholar Google Scholar Google Scholar Google Scholar Google Scholar CrossRef Full Text | Google Scholar CrossRef Full Text | Google Scholar Evidence that the great pacific garbage patch is rapidly accumulating plastic The danube so colourful: a potpourri of plastic litter outnumbers fish larvae in europe's second largest river CrossRef Full Text | Google Scholar Improved yolo based detection algorithm for floating debris in waterway Google Scholar CrossRef Full Text | Google Scholar More than 1000 rivers account for 80% of global riverine plastic emissions into the ocean CrossRef Full Text | Google Scholar CrossRef Full Text | Google Scholar CrossRef Full Text | Google Scholar Google Scholar CrossRef Full Text | Google Scholar Google Scholar Google Scholar Amsterdam urban water system as entry point of river plastic pollution Google Scholar Google Scholar CrossRef Full Text | Google Scholar CrossRef Full Text | Google Scholar CrossRef Full Text | Google Scholar Limited long-distance transport of plastic pollution by the orange-vaal river system Google Scholar CrossRef Full Text | Google Scholar CrossRef Full Text | Google Scholar Kapelan Z and Taormina R (2023) Advancing deep learning-based detection of floating litter using a novel open dataset Received: 21 September 2023; Accepted: 14 November 2023; Published: 06 December 2023 Copyright © 2023 Jia, Vallendar, de Vries, Kapelan and Taormina. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) distribution or reproduction in other forums is permitted provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited in accordance with accepted academic practice distribution or reproduction is permitted which does not comply with these terms *Correspondence: Tianlong Jia, dC5qaWFAdHVkZWxmdC5ubA== †These authors have contributed equally to this work and share first authorship Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher 94% of researchers rate our articles as excellent or goodLearn more about the work of our research integrity team to safeguard the quality of each article we publish Browse Departments & Services About Kogod Experience Kogod Career Development Research Current Students News kogod@american.edu KSB - Kogod School of Business on a map Back to top Jason Javier, BSA ‘19, takes experiential learning to the next level. He recently accepted a position with EY in Berlin strengthening his global perspective full-time within the “Big Four” accounting firm It’s essential to understand his passion for new cultures and languages to also understand his journey at American University After taking a German course in his first year Javier knew he had to experience the country’s culture up-close In spring 2018, he spent the semester studying at the WHU – Otto Beisheim School of Management Javier said was initially hesitant to apply because of its competitive reputation “if you have the capability and if you study the language a town of about 8,000 people ninety minutes between both Frankfurt and Cologne he said the small town feel “was something I’ve never experienced.” He relished Vallendar’s multinational culture being exposed to a new community of industry leaders and learning from business students from across the globe as well as life in the professional world in DC Javier began an internship with EY in Tyson’s Corner Virginia—but it wasn’t long before he was called back to Germany He joined the company’s Global Student Experience program which placed him at one of EY’s branches in Berlin “I never thought accounting and German would go together,” said Javier his experience at EY and with German work culture was defining and experienced a completely new approach to business He was particularly struck by how transparent his supervisors were with the difference he was making in the company “I felt like I was adding value to the team After another highly selective interview process Javier accepted a full-time position with EY in Berlin now Javier hopes to bring American perspectives to Germany and to continue to identify ways for each country to help the triple bottom line of people He ultimately hopes to affect change in the workplace by becoming a Certified Public Accountant helping others plan and reach their financial goals Learn more about Kogod’s bachelor of science in accounting program A business degree can be a powerful tool in today’s workforce From Apple CEO Tim Cook to Alphabet CEO Sundar Pichai some of the most notable names in today’s workforce gained an edge by pursuing an education in business Armed with the critical tools and strategies to lift their ideas off the ground they’re spearheading innovations that have altered modern society as we know it Business school does more than just elevate aspiring entrepreneurs however — it can lead to advances that change our world for the better all business schools strive to continuously adapt their curriculums to meet business needs and challenges From climate change to social and ethical concerns business schools are offering an education that prepares graduates to address such issues The best business degrees take this one step further: by grounding students in a globalised mindset Graduates from these programmes have the chance to partake in a variety of experiences that grants them real-world exposure on an international scale business-ready graduates with the insights and experiences to inspire real Here are four business schools to save the world: Source: WHU – Otto Beisheim School of Management Take the Master in Finance this programme immerses students in the finance industry through a comprehensive but flexible curriculum What sets the WHU programme apart is the opportunity to gain international insight into the field Outside of their usual classes in Vallendar students can participate in a semester abroad Those looking to gain practical experience can join internships taking advantage of WHU’s broad network of professionals and industry contacts to do so Ambitious learners can take this one step further by pursuing a double degree students can take two semesters at WHU and two more at a partner university after which they will earn two degree qualifications The Part-time Master in Management is another top-ranked programme in Germany that turns learners into experts in general management It gives working professionals the rare chance to pursue a Master of Arts whilst being employed It doesn’t sacrifice all that makes a WHU education stand out guaranteeing exposure to international contexts a focus on practical tasks and forming connections with future entrepreneurs and business leaders Throw in small classes that ensure personalised guidance and instruction and it’s no wonder why hundreds of students across the world are choosing WHU. Its focus on diversity, inclusivity and “cosmopoliteness” is just as influential in bringing together bright minds from every corner of the globe While Cergy, France, is known for its popular attractions, that’s not all the city is unique for. Though a little town, the city is home to one of the top business schools in the world. The ESSEC Business School focuses on educating students at all levels from undergraduate to postgraduate and doctoral The school aims to nurture future business leaders who are ready to take on careers that will benefit society Its Global MBA programme ranks #93 globally This programme is designed to focus on business concepts and international markets It isn’t just about theory — students will gain first-hand experience through immersion in real-world projects and company visits While the main part of the programme will be conducted on the Cergy campus students will get the opportunity to either travel to Singapore for five weeks or one week in an emerging market or multiple other countries this intensive programme will give students the knowledge and experience to boost their careers This is thanks to its varied and challenging content that covers Luxury Brand Management giving students a macro view of core business functions coupled with industry-specific skills and knowledge to help them successfully switch careers to industries such as consulting Find out more about its exceptional MBA programme here a Warwick postgraduate education ensures you are prepared for every aspect of it you will get involved in MSc and MBA group and individual projects you will also have the opportunity to participate in one of the LeadershipPlus Projects with an external corporate Every postgraduate student draws from a wealth of human capital resources from administrative staff and faculty members to peers and industry partners You stand to learn from established leaders in the Change Maker Speaker Series which has hosted the likes of Barclays Ireland CEO Kevin Wall and NASA Chief Technologist Dr Here is a school that takes pride in producing change-makers through personal transformation and thought leadership in an inspirational and diverse applied learning environment. This spirit extends to its virtual offerings; the Warwick Business School’s MBA is ranked the top distance learning MBA in the Financial Times Online MBA Ranking 2020 Source: Darden School of Business – University of Virginia Facebook Preparing responsible leaders to lead the global business landscape through social transformation — that’s what the Darden School of Business aims to do it opened as the graduate business school of the Thomas Jefferson-founded University of Virginia and has since become one of the top institutions in the nation to offer a career-focused postgraduate education for ambitious individuals Darden’s Full-Time MBA is a 21-month taught programme that gives students unmatched access to more than 80 of the most innovative and influential business thought leaders It begins with a core curriculum that offers a rigorous case-based learning experience in the first year The second year makes room for personalised interests alongside real-world exposure where students work on consulting projects Faculty at Darden are some of the best thinkers in the world educating students whilst pursuing research that advances the nature of business They are supported by a range of research centres and initiatives to progress knowledge about the field enrich student experiences and convene forums with academics and executives in the name of promoting business development What follows is a cohort of business leaders and executives who have the grit and tenacity to succeed in a competitive environment They take their first steps at Darden — and graduate with the expertise to change the world *Some of the institutions featured in this article are commercial partners of Study International This website is using a security service to protect itself from online attacks The action you just performed triggered the security solution There are several actions that could trigger this block including submitting a certain word or phrase You can email the site owner to let them know you were blocked Please include what you were doing when this page came up and the Cloudflare Ray ID found at the bottom of this page Christmas Song Aims to Inspire Peace in the Holy Land Pope’s Message of Hope Launched into Space to Orbit Earth Here is Pope Francis’ Schedule for World Youth Day 2023 in Lisbon Marian Apparitions Must Always Point to Jesus Germany (CNS) — The German Catholic bishops’ conference and the council of the Evangelical Church in Germany plan to continue their discussions about shared Communion German Catholic and Protestant theologians and bishops had published an appraisal of the topic in May and it was scheduled to be discussed at the German bishops’ fall plenary assembly in Fulda at the end of September the Vatican Congregation for the Doctrine of the Faith voiced strong objections to the appraisal saying that differences between Catholics and Protestants in the understanding of the Eucharist and the ministry were “still so grave” that they ruled out the attendance of at each other’s services leaders of both churches identified questions that “still need to be clarified” and addressed by Catholic and Protestant sides in different ways the open questions are so weighty that it does not feel able to allow mutual participation in general before they are clarified especially since the question of the unity of the Catholic Church is affected here as well,” said the statement from the church leaders Germany has many mixed marriages — Catholic and Protestant — and the issue of being able to receive Communion at each other’s churches has long been an issue of concern one Catholic-Lutheran couple who had been married 24 years told Catholic News Service that many couples like themselves “have experienced rebuffs and coldheartedness from the churches which has strained their marriage and led to estrangement from church.” “It would be totally unimaginable to us to be separated from each other at the table of the Lord when we share our whole life together in everything else,” said Herbert and Ines Heinecke When Pope Francis visited a Lutheran parish in Rome in November 2015 a Lutheran woman married to a Catholic asked Pope Francis why she could not receive Communion when she went to Mass with her husband The pope responded that he could not issue a general rule on shared Communion study and then act according to their consciences Pope Francis asked the bishops of Germany to continue working together to find broader consensus on guidelines for allowing a Protestant married to a Catholic to receive the Eucharist The Vatican said the German bishops were told “Pope Francis appreciates the ecumenical commitment of the German bishops and asks them to find a result as unanimously as possible.” CatholicPhilly.com works to strengthen the connections between people families and communities every day by delivering the news people need to know about the Catholic Church you and hundreds of other people become part of our mission to inform form in the Catholic faith and inspire the thousands of readers who visit every month Please join in the church's vital mission of communications by offering a gift in whatever amount that you can ― a single gift of $40 Your gift will strengthen the fabric of our entire Catholic community and sustain CatholicPhilly.com as your trusted news source PREVIOUS: Pope calls for politics to renew focus on the common good NEXT: Eventual coronavirus vaccine should belong to everyone USCCB: Statement of USCCB on Vatican’s Document Addressing Pastoral Blessings Pope Francis’ May 2023 Prayer Intention | Watch Video Catholic Charities of Philadelphia Returns to Roots Dan Tarrant Brings God to the World Through Catholic Filmmaking HomeComillas teams shine in EuropeComillas teams shine in EuropeComillas competed in various sports disciplines at the World InterUniversities Championships (Paris) and the WHU Euromasters (Vallendar The Comillas women's basketball team was one of the participants Month of international competitions for Comillas Pontifical University, with the participation of its official teams in the 8th World InterUniversities Championships, held in Paris, and the WHU Euromasters 2023 The World InterUniversities Championships hosts official teams from 75 universities around the world More than 3,000 university athletes participated which included teams from 12 sporting disciplines the seven official university teams participated: basketball (women's) indoor football (men's and women's) and rugby 7 (men's) three coaches and two expedition leaders from Comillas Bienestar All the students from Comillas enjoyed the experience of participating in one of the most important inter-university sports tournaments in the world, endorsed by the IUSF Inter Universities Sports Federation aims to offer our students experiences through sport as a complement to their comprehensive education to strengthen their sense of belonging and enrich their life on campus Comillas also participated in the WHU Euromasters with the official basketball team (men's) champions of the Rector's Trophy for men's indoor football and men's football 7-a-side in the previous academic year This is a competition created in 1997 for business schools from all over Europe in an event hosted every year by the Otto Beisheim School of Management (Vallendar Bienestar y deporte4 March 2025Comillas organises the XXV Unijes 2025 Sports TournamentThe Comillas teams won the title of Global Champions in a competition in which more than 400 students from Jesuit universities participated Comillas competed in various sports disciplines at the World InterUniversities Championships (Paris) and the WHU Euromasters (Vallendar Month of international competitions for Comillas Pontifical University, with the participation of its official teams in the 8th World InterUniversities Championships, held in Paris, and the WHU Euromasters 2023 the seven official university teams participated: basketball (women's) indoor football (men's and women's) and rugby 7 (men's) All the students from Comillas enjoyed the experience of participating in one of the most important inter-university sports tournaments in the world, endorsed by the IUSF Inter Universities Sports Federation champions of the Rector's Trophy for men's indoor football and men's football 7-a-side in the previous academic year .st1{fill-rule:evenodd;clip-rule:evenodd;fill:#2a2a2a}By Von Lozon | vlozon@mlive.comSAGINAW TWP MI -- Officers from the Saginaw Township Police Department and residents of the township were recognized at the department's yearly Awards Program and Memorial Service Tuesday night The event recognizes officers that have been killed in the line of duty and officers who go "beyond the normal calls and may have done something extraordinary," according to Saginaw Township Police Chief Don Pussehl This ceremony happens during Police Memorial Week every year for the Saginaw Township Police Department Eighteen people were recognized for their service over the past year who has been with the department for 18 years He was selected by his peers due to "putting a lot of time and effort into working on several burglary cases in the township," Pussehl said "There were four separate groups of people committing burglaries and detective Jackson was able to get them solved and hold the suspects accountable," Pussehl said "He's also a fire investigator and works with the fire department to investigate serious fire The Civilian Citation Award went to Phyllis Filiczkowski McTaggart and Titus helped the police at an armed robbery scene They got a good description of the suspect and tried to stop her before she got away They then relayed information to Central Dispatch Officer Matthew Oswald and Trooper Michael Roth won the Chief's Commendation Award for that burglary case Officer Michael Andrews won the Lifesaving Award for saving a 65-year-old man in January "(The man) went for a walk and didn't come back (home)," Pussehl said "It was a bitter cold night in January where it was below 10 degrees His family called the police and began searching for him Officer Andrews found him in the Nouvel Central High School parking lot where he had fallen and was laying on the ground and if it hasn't been for officer Andrews locating him he could've died." Use of and/or registration on any portion of this site constitutes acceptance of our User Agreement, (updated 8/1/2024) and acknowledgement of our Privacy Policy, and Your Privacy Choices and Rights (updated 1/1/2025) © 2025 Advance Local Media LLC. All rights reserved (About Us) The material on this site may not be reproduced except with the prior written permission of Advance Local Community Rules apply to all content you upload or otherwise submit to this site YouTube's privacy policy is available here and YouTube's terms of service is available here Ad Choices \n m_gallery = \"saginaw_township_police_awards\";\n m_gallery_id = \"17856237\";\n m_gallery_title = \"Saginaw Township Police awards ceremony \";\n m_gallery_blog_id = \"4473\";\n m_gallery_creation_date = \"Tuesday 9:25 PM\";\n m_gallery_permalink = \"http://photos.mlive.com/4473/gallery/saginaw_township_police_awards/index.html\";\n m_gallery_json = \"https://blog.mlive.com/photogallery/4473/17856237.json\";\n m_gallery_pagetype = \"embed\";\n m_gallery_type = \"photo\";\n <\/script>\n Gallery: Saginaw Township Police awards ceremony Red little spotlights moved constantly across the Húrra logo on the wall and I could feel the relaxed vibes lingering in the air Every seat was taken by folks enjoying pints of beer and chitchatting in the dimmed room and everyone seemed to be looking forward to an evening of newcomer Geislar’s yet unknown tunes The band Geislar was formed earlier this year and has just released its debut album (it was not yet out at the time of this show) I had no idea what to expect from this novel arrangement of respected local artists as they had only released a single song from their album the audience clearly expecting greatness from this band of veterans the Iceland Music Export refers to Geislar as “the new Icelandic supergroup.” So the stage started filling up with more and more musicians The assembly went beyond Geislar’s six official members as a string quartet was situated halfway on and next to the stage I was surprised to see so many musicians on stage curious and excited to hear how all of these artists would together The band began by tuning their instruments sharing a few jokes and laughs amongst each other before starting The harmony emanating from the stage soothed the crowd The first song was a purely instrumental piece with Óskar Guðjónsson leading on the saxophone—a great way of warming the audience up to the jazzy tunes During the first instrumental piece I wasn’t sure if the walls of Húrra could hold such a grand combination of instruments and present Geislar’s large band at its best Once the second song began and Sigríður Thorlacius (of Hjaltalín fame) launched into the first notes of “Stone Cold Stone,” it all came gloriously together Her clear and characteristic voice filled the entire room harmonizing pleasantly between every part of this strong ensemble keyboard and a string quartet transformed Húrra into a sparkling bubble filled with warm and soothing jazz tunes and dreamy vocals Geislar went on to play a number of gripping tune all of them well received by the multigenerational crowd it felt like waking up from a dream that I didn’t want to end Tourist Sexually Harassed In Blue Lagoon Tourist Held Hostage On May Day Culture Night Killer Sentenced To Prison Starbucks To Open In Reykjavík Soon An Ode to Flateyri Grapevine Events: The Clock, Other-Grounds Film Festival, Icelandic Sorcery Festival & More Police Officers Spied On Citizens For Iceland’s Richest Man From Army Brats To Luxury Flats Five whole days of running from one venue to another Iceland Airwaves 2014 has come to an end— and Day 1 +2: During the first two days of the festival The queues at some venues were ridiculously long everyone’s ‘party battery’ was fully charged Day 3: Those of you that partied a bit too hard during the first two nights you would have first played with the thought of just staying in and having a quiet night But then you felt guilty for not making the most of your yellow Airwaves wristband you could miss out on a great night of music and fun it ended up in another late night of musical wonders… and drinking Day 4: Saturday finds you wishing you hadn’t gone out the night before And all those shots of Brennivín and Ópal and the rest of Iceland’s liquor-oddities weren’t such a great idea- ouch You wanted to stay in bed forever but there was NO WAY you could miss the almost compulsory Saturday night of the festival you ended up having a massively amusing night… yet again Day 5: Sunday approaches and you just think: ‘Enough too bad Sunday is the day of the Airwaves finale show which you probably had tickets for Most of the day was probably spent indoors watching movies or maybe some of you did have the strength to check out some off-venue gigs… judging by those I spoke to most likely still as tired and hungover as in the morning It is freezing cold outside and you wish you were in your bed… but hey it’s the Flaming Lips – and no one would want to miss how they set that unusual Airwaves venue on fire Many of us were well knackered at this point but it is the finale of Iceland Airwaves 2014 Even if you’re normally big a party animal at this point you would rather just sit down comfortably and watch the band perform The hall was full of people and you expected to get crushed by the crowd or someone pouring half their beer over you while squeezing past you it seemed like people had decided not to invade one people’s privacy in that spectacularly Icelandic fashion Finally a show with  enough space for everyone space to chill – even space to keep witner coats scarves and such on the floor without worrying about anything disappearing You would not be separated from your friends Nobody was left standing by the ‘unofficial aisle’  getting pushed around by people that are trying to get passed You could sway and peacefully sip that beer you decided on getting after all as you kind of have to celebrate the final night of this amazing festival And seeing The Flaming Lips with all their lights balloons and other colourful props was just a treat for the eyes After an overwhelming performance by the Flaming Lips and a few beers you thought you might as well check out what else is happening in the last few hours of Airwaves You head to Húrra with your friends to hear the Zebra Katz play the last few tunes of Iceland Airwaves 2014 And at some point you realize: It’s time to go to sleep Your walk back home is surprisingly quiet compared to the last four nights Some of you might have been clever enough to take Monday off Those Airwaves venues: they’re scattered around the downtown Reykjavík area just a few minutes walking distance from one another hailing or you have no idea what you want to see The Harpa concert hall has been part of  Iceland Airwaves  for three years now The entire building dedicates three rooms to Airwaves: Kaldalón songwriter and guitarist Anna Calvi at Silfurberg But if you’re more in the mood to listen to Vök’s low key electronic melodies and singing all you have to do is walk to the next room Harpa gives you options all night long and you don’t have to leave the building and deal with the weather outside I met an older Airwaves veteran couple (attending for their tenth year now!) at Húrra on Thursday during the Ojba Rasta set They did not seem to be feeling the reggae beats They enjoy music and have been for the past ten years they have no interest in standing around in long queues outside or arriving at gigs and realize the music sucks Last year we spent the entire Airwaves at Harpa and it was great There will always be something we can or want to see in one of the three rooms.” They had spent the whole of Wednesday night at Harpa and decided to be more adventurous on Thursday by trying a few different venues We feel a bit out of place here and we are too old to jump from venue to venue It is too chaotic for us,” they said noting they would spend the entire next day at Harpa So it seems like Harpa is not only the place to be when the weather is bad or you have no clue what you want to see.It is also for those Airwaves veterans that have just come to enjoy a more sophisticated night of music .st1{fill-rule:evenodd;clip-rule:evenodd;fill:#2a2a2a}By Maura Grunlund | mauragrunlund@siadvance.comStaten Island Advance/Irving SilversteinOutside the shrine Sister Mary Angela Macari welcomes the visitors disembarking from their bus.STATEN ISLAND - More than 50 pilgrims from Puerto Rico visited the Schoenstatt Shrine of Light in West Brighton in anticipation of a jubilee celebration While the shrine isn’t well known among Staten Islanders it is part of the worldwide Schoenstatt Apostolic Movement that has a strong following in Puerto Rico it is one of only nine such shrines in the U.S About 200 identical shrines are located worldwide The Schoenstatt movement was founded in 1914 shortly after the start of WWI by the Rev Father Kentenich was interned in Dachau concentration camp from 1941 to 1945 and is on the path to sainthood in the Roman Catholic Church some New Yorkers who originally were from Puerto Rico heard about the Schoenstatt Apostolic Movement while attending their parishes in Brooklyn The priest returned the favor when he visited the movement members on Sept established in that same year on Castleton Avenue Some of those who met Father Kentenich in Milwaukee later returned to their native land and established the movement in Puerto Rico 52 pilgrims — including four who made the trip to Milwaukee in 1962—and two Schoenstatt sisters flew to New York as a culmination and high point of their golden jubilee pilgrimage The group had visited Milwaukee prior to seeing the Island The pilgrims were “following in the footsteps” of not only Father Kentenich but the original ones who brought the movement to Puerto Rico The pilgrims left the small island of Puerto Rico in many cases to live in Brooklyn and work in Manhattan “Schoenstatt spirituality gave them encouragement and assistance in their everyday life,” Sister Macari said of them While retracing their founding heritage here in the U.S. the pilgrims visited the Schoenstatt Sisters of Mary house in West Brighton The pilgrims then headed immediately into the shrine the pilgrims also walked to the previous Schoenstatt house on Castleton Avenue listened to a recording of Father Kentenich speaking Church in Brooklyn and went sightseeing in Manhattan The West Brighton shrine has been located at its current location also living in the West Brighton house are Sisters M the West Brighton shrine is unique as it is inside the house and not in a separate chapel with a Madonna and Child painting of the Mother Thrice Admirable Saint Paul and Saint Joseph remind people of the intercession of holy people in heaven who join their prayers with those of the visitors,” Sister Macari said reminder of the loving fatherly care of God and a silver and gold dove suspended from the ceiling symbolizes the constant presence and power of the Holy Spirit The Blessed Sacrament is reserved in the tabernacle as the focus of the prayers demonstrating that Mary leads everyone to her Son.” Use of and/or registration on any portion of this site constitutes acceptance of our User Agreement, (updated 8/1/2024) and acknowledgement of our Privacy Policy, and Your Privacy Choices and Rights (updated 1/1/2025) © 2025 Advance Local Media LLC. All rights reserved (About Us) Community Rules apply to all content you upload or otherwise submit to this site Ad Choices .st1{fill-rule:evenodd;clip-rule:evenodd;fill:#2a2a2a}By Staten Island AdvanceAdvance File PhotoThe Schoenstatt Shrine of Light and activites by the Schoenstatt Sisters of Mary both based at 337 Cary Avenue.STATEN ISLAND -- A hidden gem in West Brighton is the Schoenstatt Shrine of Light which averages about 200 faithful visitors per month About 200 shrines are located throughout the world for the Roman Catholic Schoenstatt Apostolic Movement As one of nine Schoenstatt Shrines in the United States the annual May Crowning at the borough shrine typically attracts more than 450 people from as far north as Massachusetts to as far south as Washington The original Schoenstatt shrine is located in a chapel dating from the 1400s in the town of Vallendar in the Schoenstatt valley near Koblenz The movement was founded in that chapel in 1914 He was interned in Dachau concentration camp from 1941-1945 and is on the path to sainthood in the Roman Catholic Church Each of the 200 Schoenstatt shrines look identical inside -- they feature a baroque wood-carved altar; a painting of Madonna and Child; statues of saints Michael Paul and Joseph; an eye symbol representing God Father Kentenich visited Staten Island and its Schoenstatt Sisters of Mary at their first convent on Castleton Avenue Today -- and since 1977 -- the shrine is located at 337 Cary Ave on the anniversary of Father Kentenich's visit the faithful gathered at the shrine to pray for the victims of 9/11 and their families The Schoenstatt Shrine Light is open daily from 8 a.m. to 8 p.m. For more information, call 718-727-8005, or email Sister Angela Macari at shrineNY@schsrsmary.org