328,832 results on '"Schulz"'
Search Results
102. 7. Islamic Renewal, Muslim Divorce, and Gender Relations in Mali
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
103. Preface and Acknowledgments
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
104. Note on Transliteration
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
105. 2. Male-Initiated Divorce before the Egyptian Judiciary
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
106. Introduction: Muslim Marital Disputes and Islamic Divorce Law in Twenty-First-Century Practice
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
107. Contents
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
108. 1. Divorce by khulʿ in Pakistani Courts: Expanding Women's Rights through Reconfiguring Religious Authority
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
109. Dedication
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
110. Title Page
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
111. Series Page
- Author
-
Hussain, Nadia, Lemons, Katherine, Steenberg, Rune, Diallo, Souleymane, Schulz, Dorothea, Landry, Jean-Michel, Issaka-Toure, Fulera, Essop, Fatima, Bernard-Maugiron, Nathalie, Giunchi, Elisa, Yakin, Ayang Utriza, and Stiles, Erin E.
- Published
- 2022
112. Performance evaluation of automated white matter hyperintensity segmentation algorithms in a multicenter cohort on cognitive impairment and dementia
- Author
-
Malo Gaubert, Andrea Dell’Orco, Catharina Lange, Antoine Garnier-Crussard, Isabella Zimmermann, Martin Dyrba, Marco Duering, Gabriel Ziegler, Oliver Peters, Lukas Preis, Josef Priller, Eike Jakob Spruth, Anja Schneider, Klaus Fliessbach, Jens Wiltfang, Björn H. Schott, Franziska Maier, Wenzel Glanz, Katharina Buerger, Daniel Janowitz, Robert Perneczky, Boris-Stephan Rauchmann, Stefan Teipel, Ingo Kilimann, Christoph Laske, Matthias H. Munk, Annika Spottke, Nina Roy, Laura Dobisch, Michael Ewers, Peter Dechent, John Dylan Haynes, Klaus Scheffler, Emrah Düzel, Frank Jessen, Miranka Wirth, for the DELCODE study group, Amthauer Holger, Cetindag Arda Can, Cosma Nicoleta Carmen, Diesing Dominik, Ehrlich Marie, Fenski Frederike, Freiesleben Silka Dawn, Fuentes Manuel, Hauser Dietmar, Hujer Nicole, Incesoy Enise Irem, Kainz Christian, Lange Catharina, Lindner Katja, Megges Herlind, Peters Oliver, Preis Lukas, Altenstein Slawek, Lohse Andrea, Franke Christiana, Priller Josef, Spruth Eike, Villar Munoz Irene, Barkhoff Miriam, Boecker Henning, Brosseron Frederic, Daamen Marcel, Engels Tanja, Faber Jennifer, Fließbach Klaus, Frommann Ingo, Grobe-Einsler Marcus, Hennes Guido, Herrmann Gabi, Jost Lorraine, Kalbhen Pascal, Kimmich Okka, Kobeleva Xenia, Kofler Barbara, McCormick Cornelia, Miebach Lisa, Miklitz Carolin, Müller Anna, Oender Demet, Polcher Alexandra, Purrer Veronika, Röske Sandra, Schneider Christine, Schneider Anja, Spottke Annika, Vogt Ina, Wagner Michael, wolfsgruber Steffen, Yilmaz Sagik, Bartels Claudia, Dechent Peter, Hansen Niels, Hassoun Lina, Hirschel Sina, Nuhn Sabine, Pfahlert Ilona, Rausch Lena, Schott Björn, Timäus Charles, Werner Christine, Wiltfang Jens, Zabel Lioba, Zech Heike, Bader Abdelmajid, Baldermann Juan Carlos, Dölle Britta, Drzezga Alexander, Escher Claus, Ghiasi Nasim Roshan, Hardenacke Katja, Jessen Frank, Lützerath Hannah, Maier Franziska, Marquardt Benjamin, Martikke Anja, Meiberth Dix, Petzler Snjezana, Rostamzadeh Ayda, Sannemann Lena, Schild Ann-Katrin, Sorgalla Susanne, Stockter Simone, Thelen Manuela, Tscheuschler Maike, Uhle Franziska, Zeyen Philip, Bittner Daniel, Cardenas-Blanco Arturo, Dobisch Laura, Düzel Emrah, Grieger-Klose Doreen, Hartmann Deike, Metzger Coraline, Nestor Peter, Ruß Christin, Schulze Franziska, Speck Oliver, Yakupov Renat, Ziegler Gabriel, Brauneis Christine, Bürger Katharina, Catak Cihan, Coloma Andrews Lisa, Dichgans Martin, Dörr Angelika, Ertl-Wagner Birgit, Frimmer Daniela, Huber Brigitte, Janowitz Daniel, Kreuzer Max, Markov Eva, Müller Claudia, Rominger Axel, Schmid (ehemals Spreider) Jennifer, Seegerer Anna, Stephan Julia, Zollver Adelgunde, Burow Lena, de Jonge Sylvia, Falkai Peter, Garcia Angarita Natalie, Görlitz Thomas, Gürsel Selim Üstün, Horvath Ildiko, Kurz Carolin, Meisenzahl-Lechner Eva, Perneczky Robert, Utecht Julia, Dyrba Martin, Janecek-Meyer Heike, Kilimann Ingo, Lappe Chris, Lau Esther, Pfaff Henrike, Raum Heike, Sabik Petr, Schmidt Monika, Schulz Heike, Schwarzenboeck Sarah, Teipel Stefan, Weber Marc-Andre, Buchmann Martina, Heger Tanja, Hinderer Petra, Kuder-Buletta Elke, Laske Christoph, Munk Matthias, Mychajliw Christian, Soekadar Surjo, sulzer Patricia, and Trunk Theresia
- Subjects
white matter hyperintensities segmentation ,evaluation ,FLAIR ,deep learning ,aging ,Alzheimer’s disease ,Psychiatry ,RC435-571 - Abstract
BackgroundWhite matter hyperintensities (WMH), a biomarker of small vessel disease, are often found in Alzheimer’s disease (AD) and their advanced detection and quantification can be beneficial for research and clinical applications. To investigate WMH in large-scale multicenter studies on cognitive impairment and AD, appropriate automated WMH segmentation algorithms are required. This study aimed to compare the performance of segmentation tools and provide information on their application in multicenter research.MethodsWe used a pseudo-randomly selected dataset (n = 50) from the DZNE-multicenter observational Longitudinal Cognitive Impairment and Dementia Study (DELCODE) that included 3D fluid-attenuated inversion recovery (FLAIR) images from participants across the cognitive continuum. Performances of top-rated algorithms for automated WMH segmentation [Brain Intensity Abnormality Classification Algorithm (BIANCA), lesion segmentation toolbox (LST), lesion growth algorithm (LGA), LST lesion prediction algorithm (LPA), pgs, and sysu_media] were compared to manual reference segmentation (RS).ResultsAcross tools, segmentation performance was moderate for global WMH volume and number of detected lesions. After retraining on a DELCODE subset, the deep learning algorithm sysu_media showed the highest performances with an average Dice’s coefficient of 0.702 (±0.109 SD) for volume and a mean F1-score of 0.642 (±0.109 SD) for the number of lesions. The intra-class correlation was excellent for all algorithms (>0.9) but BIANCA (0.835). Performance improved with high WMH burden and varied across brain regions.ConclusionTo conclude, the deep learning algorithm, when retrained, performed well in the multicenter context. Nevertheless, the performance was close to traditional methods. We provide methodological recommendations for future studies using automated WMH segmentation to quantify and assess WMH along the continuum of cognitive impairment and AD dementia.
- Published
- 2023
- Full Text
- View/download PDF
113. Combined Open Prostatectomy and Kidney Surgery: Feasibility and 12-Month Outcome
- Author
-
Rath L, Jokisch F, Schulz GB, Kretschmer A, Buchner A, Stief CG, and Weinhold P
- Subjects
retropubic prostatectomy ,kidney surgery ,simultaneous prostate and kidney cancer ,combined surgery ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Lukas Rath, Friedrich Jokisch, Gerald Bastian Schulz, Alexander Kretschmer, Alexander Buchner, Christian G Stief, Philipp Weinhold Department of Urology, Ludwig-Maximilians-University, Munich, GermanyCorrespondence: Philipp WeinholdDepartment of Urology, Ludwig-Maximilians-University, Marchioninistrasse 15, Munich, 81377, GermanyTel +4989-4400-73528Fax +49894400-78735Email philipp.weinhold@med.uni-muenchen.dePurpose: There are only a few case reports and case series that investigated combined laparoscopic or robotic surgery for simultaneous prostate and kidney cancer. In this study, we want to close a gap in existing research to assess the feasibility and oncological outcome of combined open prostatectomy and kidney surgery.Methods: We retrospectively analyzed patients who underwent a combined open prostatectomy and either a partial or complete nephrectomy from 2013 to 2020. Descriptive statistics were used to assess perioperative parameters and the 12-month functional and oncological outcomes after combined surgery.Results: We identified 10 patients undergoing combined open surgery. Partial nephrectomy was performed in 4, radical nephrectomy in 6 patients. For prostate cancer, histopathological analysis showed a tumor stage ≥ pT2c in all 10 patients. For renal tumors, histopathological analysis showed clear cell renal cell carcinoma in 8 patients and oncocytoma in 2 patients. Operating time was 177 ± 36 minutes. Two perioperative complications (Clavien 2a and 3) were observed. Three months postoperatively, the International Index of Erectile Function (IIEF-5) score was 5.6 ± 5.9, the ICIQ-SF score was 7.3 ± 5.6 and were using 1.9 ± 2.2 pads per day. This improved after 12 months postoperatively, as patients had an IIEF-5 score of 6.33 ± 6.5, an ICIQ-SF score of 4.4 ± 5.7 and were using pads 0.9 ± 1.7 per day.Conclusion: In this study, we showed that open surgery is a safe and valid approach for combined prostatectomy and renal surgery with acceptable complications and oncological outcomes. The combined open approach could be a good alternative to combined laparoscopic/robotic surgery in this field, especially to treat patients with advanced renal tumors or previous abdominal surgery or radiation.Keywords: retropubic prostatectomy, kidney surgery, simultaneous prostate and kidney cancer, combined surgery
- Published
- 2021
114. Surface texture analysis in Toothfrax and MountainsMap® SSFA module: Different software packages, different results?
- Author
-
Calandra, Ivan, Bob, Konstantin, Merceron, Gildas, Blateyron, François, Hildebrandt, Andreas, Schulz-Kornas, Ellen, Souron, Antoine, and Winkler, Daniela E.
- Subjects
Archaeology ,CC1-960 ,Science - Abstract
The scale-sensitive fractal analysis (SSFA) of dental microwear textures is traditionally performed using the software Toothfrax. SSFA has been recently integrated to the software MountainsMap® as an optional module. Meanwhile, Toothfrax support has ended. Before switching to the new module, the outputs between the two software packages must be compared for consistency. We have performed such a test using Bayesian modelling on three datasets including dental surfaces of sheep (Merceron, Ramdarshan, et al., 2016) and guinea pigs (Winkler, Schulz-Kornas, Kaiser, Cuyper, et al., 2019) from controlled feeding experiments, as well as surfaces of quartzite and flint flakes used in an actualistic archeological experiment on cleaning procedures (Pedergnana, Calandra, Bob, et al., 2020). We found that the two software packages calculate significantly different values for the SSFA parameters epLsar, Asfc, HAsfc9 and R2, even when the same settings are used. Nevertheless, the treatments (different diets or cleaning procedures) are discriminated similarly within each dataset. While the new software module is as good as the original software to differentiate treatments, our results imply that the outputs from the two software packages are not directly comparable and, as such, cannot be merged. Surface texture analysts should therefore consider re-analyzing published surfaces before integrating them in their studies.
- Published
- 2022
- Full Text
- View/download PDF
115. Outpatient teaching in specialist practices – a qualitative study with doctors about attitudes, influencing factors and specialist features
- Author
-
Schulz, Sven, Hesse, Miriam, Matthes, Anni, Petruschke, Inga, and Bleidorn, Jutta
- Subjects
medical training ,outpatient teaching ,specialist ,teaching motivation ,teaching practice ,Special aspects of education ,LC8-6691 ,Medicine - Abstract
Aim: The aim is to record existing attitudes, influencing factors and specialised requirements with regard to the training of medical students in specialist outpatient care with doctors working in outpatient care.Method: Between September 2020 and May 2021, individual interviews with 15 specialists employed in outpatient care were held as part of this qualitative study. The recorded interviews were evaluated structurally in accordance with the Kuchartz method.Results: Enhanced outpatient training for medical students in specialist teaching practices was considered as important by all participants. Among other things, motivational factors were pleasure in teaching, a feeling of duty, the desire to pass something on, the need to convey one’s own ideas and to generate future talent for the field. A lack of time, greater organisational effort and legal concerns were stated as hurdles. Reducing organisational effort for teaching practices, appreciation of their teaching activity and financial considerations were in particular given as significant incentives for participating. The attitude of participants towards financial remuneration was heterogeneous. Different specialist features and requirements for student training were mapped out. Conclusion: This study provides, for the first time, findings about teaching in specialist outpatient establishments. They point to a great degree of willingness of specialist doctors to undertake teaching and provide starting points for creating concepts about producing teaching practices in specialist fields. Further quantitative investigation is required to substantiate the findings before us.
- Published
- 2022
- Full Text
- View/download PDF
116. English Language Arts Performance of Grade 6 Students in an Intensive French Program
- Author
-
Joy, Rhonda, Schulz, Henry, FitzPatrick, Beverly, and Hancock, Stephanie
- Published
- 2021
117. A multisource approach helps to detect a forest as a reference site in an intensively used rural landscape (Uckermark, NE Germany)
- Author
-
Wulf M, Kaiser K, Mrotzek A, Geiges-Erzgräber L, Schulz L, Stockmann I, Schneider T, Kappler C, and Bens O
- Subjects
Ancient Forest ,Geo-bio-archives ,Historic Maps ,Land Use Legacy ,Pollen Analysis ,Reference Site ,Forestry ,SD1-669.5 - Abstract
The sharp decline in seminatural areas worldwide is undisputed, but the consequences of this decline, apart from the loss of biodiversity, cannot be fully assessed. To restore ecosystems or landscapes, it is essential to have so-called reference sites. We want to show how reliable reference sites can be found in heavily used landscapes with the help of independent sources, and we present an approach that can be used in other regions, because it is very well suited for developing essential databases in the context of theses at different levels. A forest of seminatural stocking was selected in northeast Germany as a case study. The mapping of archival sources and the analyses of historical maps as well as field investigations were combined to reconstruct the dynamics of vegetation and soil for the last several centuries to thousands of years. Palynological data from nearby sites show that the study area has been forested for several millennia and has been less influenced by humans in the last 450 years. Together with historical maps of tree species composition, it allows to infer that the specific forest has been preserved in good ecological conditions for at least 250 years. Soil inventory and field studies on two catenas and corings support this conclusion, as they rarely show signs of anthropogenic erosion and related colluviation. Using a multisource approach, it is possible to identify potential reference sites that provide a reliable basis for ecosystem or landscape restoration.
- Published
- 2021
- Full Text
- View/download PDF
118. Scirrhous Hepatocellular Carcinoma: Systematic Review and Pooled Data Analysis of Clinical, Radiological, and Histopathological Features
- Author
-
Murtha-Lemekhova A, Fuchs J, Schulz E, Sterkenburg AS, Mayer P, Pfeiffenberger J, and Hoffmann K
- Subjects
scirrhous hcc ,s-hcc ,rare liver tumors ,relive initiative ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Anastasia Murtha-Lemekhova,1,2 Juri Fuchs,1,2 Erik Schulz,1,2 Anthe Suzan Sterkenburg,1 Philipp Mayer,2,3 Jan Pfeiffenberger,2,4 Katrin Hoffmann1,2 1Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; 2RELIVE Initiative, Heidelberg University Hospital, Heidelberg, Germany; 3Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany; 4Department of Gastroenterology and Hepatology, Heidelberg University Hospital, Heidelberg, GermanyCorrespondence: Katrin HoffmannDepartment of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, Heidelberg, 69120, GermanyTel +49 6221 56 6110Fax +49 6221 56 5450Email katrin.hoffmann@med.uni-heidelberg.deBackground: Aberrant subtypes of hepatocellular carcinoma (HCC) account for 20– 30% of all HCCs and habitually present a challenge in diagnosis and treatment. Scirrhous hepatocellular carcinoma (s-HCC) is often misdiagnosed as cholangiocarcinoma, fibrolamellar hepatocellular carcinoma, or metastasis.Methods: Electronic databases (PubMed, Web of Knowledge, Google Scholar, Cochrane Library, and WHO International Clinical Trials Registry Platform) were searched for publications on scirrhous hepatocellular carcinoma without date or language restrictions. Quality assessment was performed using a tool proposed by Murad et al for case reports and series. For observational studies, MINORS quality assessment tool was used. This study was registered at PROSPERO (CRD42020212323).Results: S-HCC arises in patients with chronic hepatitis (hepatitis B in 60% and hepatitis C in 21%). S-HCC primarily affects men with a mean age of 55.8 years. Serum AFP is elevated above 20IU/mL in 66.7% of the patients. On ultrasound, s-HCC presents as hypoechoic or mosaic pattern lesions (47.6% each) and causes a retraction of the liver surface (70%) when near the capsule. Delayed enhancement of the tumor is evident in 87.0%. On MRI, 65.0% of s-HCCs show a target appearance. Histopathologic pattern is mostly irregular (97.6%). Lesions show a bulging appearance (100%), septae (85.6%) and a central scar (63.5%), and usually lack central necrosis (75%). Immunohistochemistry shows HepPar 1 positivity in 64.6%, CK7 in 40.7%, and EMA in 41.9%. The 5-year overall survival rate estimates 45.2% and 45.5% of the patients experience a recurrence after hepatectomy.Conclusion: S-HCC is a rare subtype of HCC primarily arising in hepatitis- or cirrhosis-afflicted livers and incorporates atypical radiological and histopathological HCC features. Despite lower recurrence rates, overall survival of patients with s-HCC is poorer than generally for HCC, underlining the need for individualized treatment. Patients with atypical lesions of the liver should be referred to tertiary hospitals for interdisciplinary assessment and treatment.Keywords: scirrhous HCC, s-HCC, rare liver tumors, RELIVE initiative
- Published
- 2021
119. Effect of volume flows on the viability of MSCs during injection through a cannula
- Author
-
Nießen Lina, Facchinetti Giulia, Elsner Till, Wendlandt Robert, Gemoll Timo, Habermann Jens K., and Schulz Arndt-Peter
- Subjects
mesenchymal stem cells ,cell viability ,nonunion ,volume flows ,shear forces ,Medicine - Abstract
Introduction: Clinical trials currently evaluate the use of mesenchymal stem cells (MSCs) for the treatment of non-union bone fractures. The stem cells are injected directly into the non-union area of a bone via a cannula. During this injection process, pressure and shear forces affect the MSCs which could influence the viability of the cells. One parameter that influences the level of the shear forces is the volume flow. The aim of this study is to show whether the injection process with two different volume flows influences the cell viability. Methods: MSCs were isolated from bone tissue, harvested during arthroplasty. Afterwards, they were diluted to a concentration of 1 million cells/mL and 1 mL of this suspension was injected through a cannula with 200 mm length and 2 mm diameter (14 G) with volume flows of 38 and 100 mL/min. The evaluation was performed by detecting living, apoptotic, and dead cells using flow cytometry. The statistical analysis was performed with a Kruskal-Wallis-test to identify significant differences and with a TOST procedure for significant equivalence. The significance level was set to 5 % and the equivalence margin to 20 %. Results: The cell population of healthy cells was in the control group 85.88±2.98 %. After an injection with 38 mL/min the population of healthy cells was 86.04±2.53 % and with 100 ml/min 85.48±1.64 %. The statistical analysis revealed no significant difference between these groups (p = 0.99), but a significant equivalence between the control group and the two volume flows (38 mL/min: p = 0.002, 100 mL/min: p = 0.001). In addition the results show no increase of apoptotic and dead cells in the population after injection. Conclusion: The results indicate that the injection process through the cannula with these volume flows has no effect on the viability of the MSCs.
- Published
- 2021
- Full Text
- View/download PDF
120. Psychosocial Burden and Quality of Life of Lung Cancer Patients: Results of the EORTC QLQ-C30/QLQ-LC29 Questionnaire and Hornheide Screening Instrument
- Author
-
Koch M, Gräfenstein L, Karnosky J, Schulz C, and Koller M
- Subjects
lung cancer ,quality of life ,psychosocial burden ,eortc qlq-c30/qlq-lc29 questionnaire ,hornheide screening instrument ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Myriam Koch,1 Laura Gräfenstein,2,3 Julia Karnosky,4 Christian Schulz,1 Michael Koller2 1Department of Internal Medicine 2, University Hospital Regensburg, Regensburg, Germany; 2Center for Clinical Studies University Hospital Regensburg, Regensburg, Germany; 3Hospital Wörth an der Donau, Germany; 4Department of Surgery, University Hospital Regensburg, Regensburg, GermanyCorrespondence: Myriam KochKlinik und Poliklinik für Innere Medizin II, Universitätsklinikum Regensburg, Franz-Josef-Strauß Allee 11, Regensburg, D-93053, GermanyTel +49 941 9440Email Myriam.Koch@ukr.deBackground: Overall survival is the ultimate criterion for the therapy of lung cancer, but psychosocial care, which helps the patient to cope with the disease, becomes a more and more important issue in the treatment of this life-threatening disease.Methods: We report the satellite project within a prospective, international, cross-cultural, multicenter study to validate the EORTC QLQ-LC29, a new designed module to assess the quality of life of lung cancer patients. The participants filled in the EORTC QLQ-C30, the recently updated lung cancer module QLQ-LC29 and the Hornheide questionnaire (HSI).Results: A total of 81 patients (32 female and 49 male, mean age 65.2 years, SD = 9.7) were enrolled in this study by completing the questionnaires. Fatigue (mean 55.4, SD = 26.3) and dyspnea (mean 46.3, SD = 36.2) were the most prominent symptoms. Thirty-nine patients (48.1%) according to the HSI needed psychosocial support. When using the EORTC questionnaires as screening instrument with 50 as cut-off in contrast only 29.5% of our patients needed psychosocial support. The need for psychosocial support according to the HSI correlated most with the EORTC scales “fatigue” (38.3% overlap between the two questionnaires), “existential fear” (38.3% overlap between the two questionnaires) and worse “global quality of life” (27.2% overlap between the two questionnaires).Conclusion: If psychosocial distress is at the core, the HSI is a suitable instrument for quick screening. The EORTC measures help to specify impaired quality of life areas and also cover somatic symptoms that are specific for cancer patients. Once psychosocial distress has been ascertained, clinicians should be particularly aware of specific problems regarding “fatigue”, “existential fear” and diminished “global quality of life”.Trial Registration: clinicaltrials.gov, reference number NCT02745691. Registered 20 April 2016.Keywords: lung cancer, quality of life, psychosocial burden, EORTC QLQ-C30/QLQ-LC29 questionnaire, Hornheide screening instrument
- Published
- 2021
121. 3D Stent Graft Guidance based on Tracking Systems for Endovascular Aneurysm Repair
- Author
-
Jäckle Sonja, Eixmann Tim, Matysiak Florian, Sieren Malte Maria, Horn Marco, Schulz-Hildebrandt Hinnerk, Hüttmann Gereon, and Pätz Torben
- Subjects
endovascular navigation ,stent graft system ,fiber bragg gratings ,em sensor ,Medicine - Abstract
In endovascular aneurysm repair (EVAR) procedures, the stent graft navigation and implantation is currently performed under a two-dimensional (2D) imaging based guidance requiring X-rays and contrast agent. In this work, a novel 3D stent graft guidance approach based on tracking systems is introduced. A calibration method and the visualization of the stent graft guidance are described. The tracking based stent graft guidance is evaluated by conducting an EVAR procedure on a torso phantom using a stent graft system equipped with an optical fiber and three EM sensors. The physicians were able to navigate the stent graft to the landing zone, and to place and implant it as intended using the introduced guidance. This showed that the application of the stent graft guidance is feasible in a clinical environment and promising for the reduction of radiation and contrast agent.
- Published
- 2021
- Full Text
- View/download PDF
122. Movement acts in breakdown situations: How a robot's recovery procedure affects participants' opinions
- Author
-
Schulz Trenton, Soma Rebekka, and Holthaus Patrick
- Subjects
non-verbal cues and expressiveness ,movement ,recovery ,human–robot interaction ,study design ,adoption of technology ,trust ,Technology - Abstract
Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot would unexpectedly pause or rotate itself to recover from a navigation problem. The serendipity of the recovery procedure and people’s understanding of it became a case study to examine how future study designs could consider breakdowns better and look at suggestions for better robot behaviors in such situations. We present the original experiment with the recovery procedure. We then examine the responses from the participants in this experiment qualitatively to see how they interpreted the breakdown situation when it occurred. Responses could be grouped into themes of sentience, competence, and the robot’s forms. The themes indicate that the robot’s movement communicated different information to different participants. This leads us to introduce the concept of movement acts to help examine the explicit and implicit parts of communication in movement. Given that we developed the concept looking at an unexpected breakdown, we suggest that researchers should plan for the possibility of breakdowns in experiments and examine and report people’s experience around a robot breakdown to further explore unintended robot communication.
- Published
- 2021
- Full Text
- View/download PDF
123. Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study
- Author
-
Schulz-Kümpel, Hannah, Fischer, Sebastian, Nagler, Thomas, Boulesteix, Anne-Laure, Bischl, Bernd, and Hornung, Roman
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
When assessing the quality of prediction models in machine learning, confidence intervals (CIs) for the generalization error, which measures predictive performance, are a crucial tool. Luckily, there exist many methods for computing such CIs and new promising approaches are continuously being proposed. Typically, these methods combine various resampling procedures, most popular among them cross-validation and bootstrapping, with different variance estimation techniques. Unfortunately, however, there is currently no consensus on when any of these combinations may be most reliably employed and how they generally compare. In this work, we conduct the first large-scale study comparing CIs for the generalization error - empirically evaluating 13 different methods on a total of 18 tabular regression and classification problems, using four different inducers and a total of eight loss functions. We give an overview of the methodological foundations and inherent challenges of constructing CIs for the generalization error and provide a concise review of all 13 methods in a unified framework. Finally, the CI methods are evaluated in terms of their relative coverage frequency, width, and runtime. Based on these findings, we are able to identify a subset of methods that we would recommend. We also publish the datasets as a benchmarking suite on OpenML and our code on GitHub to serve as a basis for further studies.
- Published
- 2024
124. Relativistic diffusion model for hadron production in p-Pb collisions at the LHC
- Author
-
Schulz, Philipp and Wolschin, Georg
- Subjects
High Energy Physics - Phenomenology ,Nuclear Theory - Abstract
We investigate charged-hadron production in relativistic heavy-ion collisions of asymmetric systems within a nonequilibrium-statistical framework. Calculated centrality-dependent pseudorapidity distributions for p-Pb collisions at sqrt(s_NN)=5.02 and 8.16 TeV are compared with data from the Large Hadron Collider (LHC). Our approach combines a relativistic diffusion model with formulations based on quantum chromodynamics while utilizing numerical solutions of a Fokker-Planck equation to account for the shift and broadening of the fragmentation sources for particle-production with respect to the stopping (net-baryon) rapidity distributions. To represent the centrality dependence of charged-hadron production in asymmetric systems over a broad region of pseudorapidities, the consideration and precise modelling of the fragmentation sources - along with the central gluon-gluon source - is found to be essential. Specifically, this results in an inversion of the particle-production amplitude from backward- to forward-dominance when transitioning from central to peripheral collisions, in agreement with recent ATLAS and ALICE p-Pb data at sqrt(s_NN)=5.02 TeV., Comment: 13 pages, 6 figures, submitted to Phys. Rev. C
- Published
- 2024
125. Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT
- Author
-
Isaradech, Natthanaphop, Riedel, Andrea, Sirikul, Wachiranun, Kreuzthaler, Markus, and Schulz, Stefan
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Introduction: Medication prescriptions are often in free text and include a mix of two languages, local brand names, and a wide range of idiosyncratic formats and abbreviations. Large language models (LLMs) have shown promising ability to generate text in response to input prompts. We use ChatGPT 3.5 to automatically structure and expand medication statements in discharge summaries and thus make them easier to interpret for people and machines. Methods: Named-entity Recognition (NER) and Text Expansion (EX) are used in a zero- and few-shot setting with different prompt strategies. 100 medication statements were manually annotated and curated. NER performance was measured by using strict and partial matching. For the task EX, two experts interpreted the results by assessing semantic equivalence between original and expanded statements. The model performance was measured by precision, recall, and F1 score. Results: For NER, the best-performing prompt reached an average F1 score of 0.94 in the test set. For EX, the few-shot prompt showed superior performance among other prompts, with an average F1 score of 0.87. Conclusion: Our study demonstrates good performance for NER and EX tasks in free-text medication statements using ChatGPT. Compared to a zero-shot baseline, a few-shot approach prevented the system from hallucinating, which would be unacceptable when processing safety-relevant medication data.
- Published
- 2024
126. Comparison of Atom Detection Algorithms for Neutral Atom Quantum Computing
- Author
-
Winklmann, Jonas, Alberti, Andrea, and Schulz, Martin
- Subjects
Quantum Physics ,Computer Science - Software Engineering - Abstract
In neutral atom quantum computers, readout and preparation of the atomic qubits are usually based on fluorescence imaging and subsequent analysis of the acquired image. For each atom site, the brightness or some comparable metric is estimated and used to predict the presence or absence of an atom. Across different setups, we can see a vast number of different approaches used to analyze these images. Often, the choice of detection algorithm is either not mentioned at all or it is not justified. We investigate several different algorithms and compare their performance in terms of both precision and execution run time. To do so, we rely on a set of synthetic images across different simulated exposure times with known occupancy states. Since the use of simulation provides us with the ground truth of atom site occupancy, we can easily state precise error rates and variances of the reconstructed property. To also rule out the possibility of better algorithms existing, we calculated the Cram\'er-Rao bound in order to establish an upper limit that even a perfect estimator cannot outperform. As the metric of choice, we used the number of photonelectrons that can be contributed to a specific atom site. Since the bound depends on the occupancy of neighboring sites, we provide the best and worst cases, as well as a half filled one. Our comparison shows that of our tested algorithms, a global non-linear least-squares solver that uses the optical system's PSF to return a each sites' number of photoelectrons performed the best, on average crossing the worst-case bound for longer exposure times. Its main drawback is its huge computational complexity and, thus, required calculation time. We manage to somewhat reduce this problem, suggesting that its use may be viable. However, our study also shows that for cases where utmost speed is required, simple algorithms may be preferable., Comment: 10 pages, 11 figures
- Published
- 2024
- Full Text
- View/download PDF
127. Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution
- Author
-
Hinterleitner, Alexander, Bartz-Beielstein, Thomas, Schulz, Richard, Spengler, Sebastian, Winter, Thomas, and Leitenmeier, Christoph
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,68 ,I.2.0 - Abstract
Research in Explainable Artificial Intelligence (XAI) is increasing, aiming to make deep learning models more transparent. Most XAI methods focus on justifying the decisions made by Artificial Intelligence (AI) systems in security-relevant applications. However, relatively little attention has been given to using these methods to improve the performance and robustness of deep learning algorithms. Additionally, much of the existing XAI work primarily addresses classification problems. In this study, we investigate the potential of feature attribution methods to filter out uninformative features in input data for regression problems, thereby improving the accuracy and stability of predictions. We introduce a feature selection pipeline that combines Integrated Gradients with k-means clustering to select an optimal set of variables from the initial data space. To validate the effectiveness of this approach, we apply it to a real-world industrial problem - blade vibration analysis in the development process of turbo machinery.
- Published
- 2024
128. A Probabilistic Approach to Shape Derivatives
- Author
-
Schlegel, Luka, Schulz, Volker, Seifried, Frank T., and Würschmidt, Maximilian
- Subjects
Mathematics - Optimization and Control ,Mathematics - Probability - Abstract
We introduce a novel mesh-free and direct method for computing the shape derivative in PDE-constrained shape optimization problems. Our approach is based on a probabilistic representation of the shape derivative and is applicable for second-order semilinear elliptic PDEs with Dirichlet boundary conditions and a general class of target functions. The probabilistic representation derives from an extension of a boundary sensitivity result for diffusion processes due to Costantini, Gobet and El Karoui [14]. Moreover, we present a simulation methodology based on our results that does not necessarily require a mesh of the relevant domain, and provide Taylor tests to verify its numerical accuracy
- Published
- 2024
129. Revealing the state transition of Cen X-3 at high spectral resolution with Chandra
- Author
-
Sanjurjo-Ferrín, Graciela, Torrejón, Jose Miguel, Oskinova, Lida, Postnov, Konstantin, Rodes-Roca, Jose Joaquín, Schulz, Norbert, and Nowak, Michael
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
Cen X-3 is a compact, high-mass X-ray binary (HMXRB), likely powered by Roche lobe overflow. We present a phase-resolved X-ray spectral and timing analysis of a target of opportunity \textit{Chandra} observation made during a low-flux to high-flux transition. The high-resolution spectra allow us to delve into the events that occurred during this episode. The spectrum is described by a single black body absorbed by a local column density of the order of $10^{23-24}$ cm$^{-2}$, which is one to two orders of magnitude higher than found for previous analyses of data taken at similar orbital phases. Such a large column produces a Compton shoulder in the Fe K$\alpha$ line. The transition appears to be caused by the onset of efficient cooling, which cools the plasma by 10 million degrees in just 10 ks, allowing matter to enter the magnetosphere. This happens after a major disturbance, probably the arrival of a train of wind clumps with individual masses in the range $10^{19-20}$ g. This train moves ballistically in an eccentric orbit around the NS, producing a distinctive Doppler modulation in the \ion{Fe}{xxv} line.
- Published
- 2024
- Full Text
- View/download PDF
130. Genus one critical catenoid
- Author
-
Franz, Giada, Ketover, Daniel, and Schulz, Mario B.
- Subjects
Mathematics - Differential Geometry - Abstract
We use variational methods to construct a free boundary minimal surface in the three-dimensional unit ball with genus one, two boundary components and prismatic symmetry. Key ingredients are an extension of the equivariant min-max theory to include orientation-reversing isometries and the discovery of a nontrivial two-parameter sweepout.
- Published
- 2024
131. Force Myography based Torque Estimation in Human Knee and Ankle Joints
- Author
-
Marquardt, Charlotte, Schulz, Arne, Dezman, Miha, Kurz, Gunther, Stein, Thorsten, and Asfour, Tamim
- Subjects
Computer Science - Robotics - Abstract
Online adaptation of exoskeleton control based on muscle activity sensing is a promising way to personalize exoskeletons based on the user's biosignals. While several electromyography (EMG) based methods have been shown to improve joint torque estimation, EMG sensors require direct skin contact and complex post-processing. In contrast, force myography (FMG) measures normal forces from changes in muscle volume due to muscle activity. We propose an FMG-based method to estimate knee and ankle joint torques by combining joint angles and velocities with muscle activity information. We learn a model for joint torque estimation using Gaussian process regression (GPR). The effectiveness of the proposed FMG-based method is validated on isokinetic motions performed by two subjects. The model is compared to a baseline model using only joint angle and velocity, as well as a model augmented by EMG data. The results show that integrating FMG into exoskeleton control improves the joint torque estimation for the ankle and knee and is therefore a promising way to improve adaptability to different exoskeleton users., Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
- Published
- 2024
132. Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping
- Author
-
Schulz, Andrew K., Ahmad, Ayah G., and Tucker, Maegan
- Subjects
Computer Science - Robotics - Abstract
In contrast with the diversity of materials found in nature, most robots are designed with some combination of aluminum, stainless steel, and 3D-printed filament. Additionally, robotic systems are typically assumed to follow basic rigid-body dynamics. However, several examples in nature illustrate how changes in physical material properties yield functional advantages. In this paper, we explore how physical materials (non-rigid bodies) affect the functional performance of a hopping robot. In doing so, we address the practical question of how to model and simulate material properties. Through these simulations we demonstrate that material gradients in the limb system of a single-limb hopper provide functional advantages compared to homogeneous designs. For example, when considering incline ramp hopping, a material gradient with increasing density provides a 35\% reduction in tracking error and a 23\% reduction in power consumption compared to isotropic stainless steel. By providing bio-inspiration to the rigid limbs in a robotic system, we seek to show that future fabrication of robots should look to leverage the material anisotropies of moduli and density found in nature. This would allow for reduced vibrations in the system and would provide offsets of joint torques and vibrations while protecting their structural integrity against reduced fatigue and wear. This simulation system could inspire future intelligent material gradients of custom-fabricated robotic locomotive devices.
- Published
- 2024
133. Determinism in Multi-Soliton Automata
- Author
-
Bordihn, Henning and Schulz, Helena
- Subjects
Computer Science - Formal Languages and Automata Theory - Abstract
Soliton automata are mathematical models of soliton switching in chemical molecules. Several concepts of determinism for soliton automata have been defined. The concept of strong determinism has been investigated for the case in which only a single soliton can be present in a molecule. In the present paper, several different concepts of determinism are explored for the multi-soliton case. It is shown that the degree of non-determinism is a connected measure of descriptional complexity for multi-soliton automata. A characterization of the class of strongly deterministic multi-soliton automata is presented. Finally, the concept of perfect determinism, forming a natural extension of strong determinism, is introduced and considered for multi-soliton automata., Comment: In Proceedings NCMA 2024, arXiv:2409.06120
- Published
- 2024
- Full Text
- View/download PDF
134. A Hardened CO$_2$ Sensor for In-Ground Continuous Measurement in a Perennial Grass System
- Author
-
Schulz, Bobby, Runck, Bryan, Hollman, Andrew, Piotrowski, Ann, and Watkins, Eric
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Carbon dioxide levels below the soil surface are an important measurement relating to plant health, especially for plants such as perennial grasses in northern climates where ice encasement can occur over winter. In such cases, the CO$_2$ levels can build up and become toxic. This is likely a significant contributor to turfgrass death over winter; however, there is an insufficient amount of data regarding this phenomenon in large part due to the lack of effective sensors. Many off the shelf CO$_2$ sensors exist, but they are not sufficiently hardened for in ground deployment over winter. As a result, the only options currently available are very costly automated gas samplers or manual sampling at intervals with laboratory testing -- a process that results in a limited number of data points and is labor intensive. To combat this problem we have taken an established NDIR CO$_2$ sensor and hardened it for use in winter and ice encased environments to allow for continuous automated sampling of subsurface CO$_2$ levels to better understand ice encasement damage in perennial grass systems.
- Published
- 2024
135. Fitting the Discrete Swept Skeletal Representation to Slabular Objects
- Author
-
Taheri, Mohsen, Pizer, Stephen M., and Schulz, Jörn
- Subjects
Statistics - Methodology - Abstract
Statistical shape analysis of slabular objects like groups of hippocampi is highly useful for medical researchers as it can be useful for diagnoses and understanding diseases. This work proposes a novel object representation based on locally parameterized discrete swept skeletal structures. Further, model fitting and analysis of such representations are discussed. The model fitting procedure is based on boundary division and surface flattening. The quality of the model fitting is evaluated based on the symmetry and tidiness of the skeletal structure as well as the volume of the implied boundary. The power of the method is demonstrated by visual inspection and statistical analysis of a synthetic and an actual data set in comparison with an available skeletal representation.
- Published
- 2024
136. Digital Ecosystem for FAIR Time Series Data Management in Environmental System Science
- Author
-
Bumberger, J., Abbrent, M., Brinckmann, N., Hemmen, J., Kunkel, R., Lorenz, C., Lünenschloß, P., Palm, B., Schnicke, T., Schulz, C., van der Schaaf, H., and Schäfer, D.
- Subjects
Computer Science - Software Engineering - Abstract
Addressing the challenges posed by climate change, biodiversity loss, and environmental pollution requires comprehensive monitoring and effective data management strategies that are applicable across various scales in environmental system science. This paper introduces a versatile and transferable digital ecosystem for managing time series data, designed to adhere to the FAIR principles (Findable, Accessible, Interoperable, and Reusable). The system is highly adaptable, cloud-ready, and suitable for deployment in a wide range of settings, from small-scale projects to large-scale monitoring initiatives. The ecosystem comprises three core components: the Sensor Management System (SMS) for detailed metadata registration and management; timeIO, a platform for efficient time series data storage, transfer, and real-time visualization; and the System for Automated Quality Control (SaQC), which ensures data integrity through real-time analysis and quality assurance. The modular architecture, combined with standardized protocols and interfaces, ensures that the ecosystem can be easily transferred and deployed across different environments and institutions. This approach enhances data accessibility for a broad spectrum of stakeholders, including researchers, policymakers, and the public, while fostering collaboration and advancing scientific research in environmental monitoring.
- Published
- 2024
137. First Competition on Presentation Attack Detection on ID Card
- Author
-
Tapia, Juan E., Damer, Naser, Busch, Christoph, Espin, Juan M., Barrachina, Javier, Rocamora, Alvaro S., Ocvirk, Kristof, Alessio, Leon, Batagelj, Borut, Patwardhan, Sushrut, Ramachandra, Raghavendra, Mudgalgundurao, Raghavendra, Raja, Kiran, Schulz, Daniel, and Aravena, Carlos
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB2024). The competition attracted a total of ten registered teams, both from academia and industry. In the end, the participating teams submitted five valid submissions, with eight models to be evaluated by the organisers. The competition presented an independent assessment of current state-of-the-art algorithms. Today, no independent evaluation on cross-dataset is available; therefore, this work determined the state-of-the-art on ID cards. To reach this goal, a sequestered test set and baseline algorithms were used to evaluate and compare all the proposals. The sequestered test dataset contains ID cards from four different countries. In summary, a team that chose to be "Anonymous" reached the best average ranking results of 74.80%, followed very closely by the "IDVC" team with 77.65%.
- Published
- 2024
138. The Effect of Ga-Ion Irradiation on Sub-Micron-Wavelength Spin Waves in Yttrium-Iron-Garnet Films
- Author
-
Greil, Johannes, Kiechle, Martina, Papp, Adam, Neumann, Peter, Kovács, Zoltán, Volk, Janos, Schulz, Frank, Wintz, Sebastian, Weigand, Markus, Csaba, György, and Becherer, Markus
- Subjects
Physics - Applied Physics - Abstract
We investigate the effect of focused-ion-beam (FIB) irradiation on spin waves with sub-micron wavelengths in Yttrium-Iron-Garnet (YIG) films. Time-resolved scanning transmission X-ray (TR-STXM) microscopy was used to image the spin waves in irradiated regions and deduce corresponding changes in the magnetic parameters of the film. We find that the changes of Ga$^+$ irradiation can be understood by assuming a few percent change in the effective magnetization $M_\mathrm{eff}$ of the film due to a trade-off between changes in anisotropy and effective film thickness. Our results demonstrate that FIB irradiation can be used to locally alter the dispersion relation and the effective refractive index $n_\textrm{eff}$ of the film, even for submicron wavelengths. To achieve the same change in $n_\textrm{eff}$ for shorter wavelengths, a higher dose is required, but no significant deterioration of spin wave propagation length in the irradiated regions was observed, even at the highest applied doses., Comment: 5 pages, 6 figures
- Published
- 2024
139. Engineering Hypergraph $b$-Matching Algorithms
- Author
-
Großmann, Ernestine, Joos, Felix, Reinstädtler, Henrik, and Schulz, Christian
- Subjects
Computer Science - Data Structures and Algorithms - Abstract
Recently, researchers have extended the concept of matchings to the more general problem of finding $b$-matchings in hypergraphs broadening the scope of potential applications and challenges. The concept of $b$-matchings, where $b$ is a function that assigns positive integers to the vertices of the graph, is a natural extension of matchings in graphs, where each vertex $v$ is allowed to be matched to up to $b(v)$ edges, rather than just one. The weighted $b$-matching problem then seeks to select a subset of the hyperedges that fulfills the constraint and maximizes the weight. In this work, we engineer novel algorithms for this generalized problem. More precisely, we introduce exact data reductions for the problem as well as a novel greedy initial solution and local search algorithms. These data reductions allow us to significantly shrink the input size. This is done by either determining if a hyperedge is guaranteed to be in an optimum $b$-matching and thus can be added to our solution or if it can be safely ignored. Our iterated local search algorithm provides a framework for finding suitable improvement swaps of edges. Experiments on a wide range of real-world hypergraphs show that our new set of data reductions are highly practical, and our initial solutions are competitive for graphs and hypergraphs as well.
- Published
- 2024
140. Large-scale cosmic ray anisotropies with 19 years of data from the Pierre Auger Observatory
- Author
-
The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Ambrosone, A., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Freitas, M., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Ghia, P. L., Giaccari, U., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kubatova, M., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lundquist, J. P., Payeras, A. Machado, Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Sampathkumar, P., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Weitz, M., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
Results are presented for the measurement of large-scale anisotropies in the arrival directions of ultra-high-energy cosmic rays detected at the Pierre Auger Observatory during 19 years of operation, prior to AugerPrime, the upgrade of the Observatory. The 3D dipole amplitude and direction are reconstructed above $4\,$EeV in four energy bins. Besides the established dipolar anisotropy in right ascension above $8\,$EeV, the Fourier amplitude of the $8$ to $16\,$EeV energy bin is now also above the $5\sigma$ discovery level. No time variation of the dipole moment above $8\,$EeV is found, setting an upper limit to the rate of change of such variations of $0.3\%$ per year at the $95\%$ confidence level. Additionally, the results for the angular power spectrum are shown, demonstrating no other statistically significant multipoles. The results for the equatorial dipole component down to $0.03\,$EeV are presented, using for the first time a data set obtained with a trigger that has been optimized for lower energies. Finally, model predictions are discussed and compared with observations, based on two source emission scenarios obtained in the combined fit of spectrum and composition above $0.6\,$EeV.
- Published
- 2024
141. SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
- Author
-
Gamerdinger, Jörg, Teufel, Sven, Schulz, Patrick, Amann, Stephan, Kirchner, Jan-Patrick, and Bringmann, Oliver
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
Collective perception has received considerable attention as a promising approach to overcome occlusions and limited sensing ranges of vehicle-local perception in autonomous driving. In order to develop and test novel collective perception technologies, appropriate datasets are required. These datasets must include not only different environmental conditions, as they strongly influence the perception capabilities, but also a wide range of scenarios with different road users as well as realistic sensor models. Therefore, we propose the Synthetic COllective PErception (SCOPE) dataset. SCOPE is the first synthetic multi-modal dataset that incorporates realistic camera and LiDAR models as well as parameterized and physically accurate weather simulations for both sensor types. The dataset contains 17,600 frames from over 40 diverse scenarios with up to 24 collaborative agents, infrastructure sensors, and passive traffic, including cyclists and pedestrians. In addition, recordings from two novel digital-twin maps from Karlsruhe and T\"ubingen are included. The dataset is available at https://ekut-es.github.io/scope
- Published
- 2024
142. Tensor Network Python (TeNPy) version 1
- Author
-
Hauschild, Johannes, Unfried, Jakob, Anand, Sajant, Andrews, Bartholomew, Bintz, Marcus, Borla, Umberto, Divic, Stefan, Drescher, Markus, Geiger, Jan, Hefel, Martin, Hémery, Kévin, Kadow, Wilhelm, Kemp, Jack, Kirchner, Nico, Liu, Vincent S., Möller, Gunnar, Parker, Daniel, Rader, Michael, Romen, Anton, Scalet, Samuel, Schoonderwoerd, Leon, Schulz, Maximilian, Soejima, Tomohiro, Thoma, Philipp, Wu, Yantao, Zechmann, Philip, Zweng, Ludwig, Mong, Roger S. K., Zaletel, Michael P., and Pollmann, Frank
- Subjects
Condensed Matter - Strongly Correlated Electrons - Abstract
TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to achieve a balance of readability and usability for new-comers, while at the same time providing powerful algorithms for experts. The focus is on MPS algorithms for 1D and 2D lattices, such as DMRG ground state search, as well as dynamics using TEBD, TDVP, or MPO evolution. This article is a companion to the recent version 1.0 release of TeNPy and gives a brief overview of the package., Comment: v2: updated funding acknowledgement
- Published
- 2024
143. Rehabilitation & Sports Medicine
- Author
-
Steinacker JM, Kirsten J, Schulz SVW, Jerg A, Kersten J, Matits L, and Schellenberg J
- Subjects
Sports medicine ,RC1200-1245 - Published
- 2022
- Full Text
- View/download PDF
144. Rehabilitation & Sports Medicine
- Author
-
Schmucker A, Jerg A, Schulz SVW, Zorn J, Vollrath S, and Steinacker JM
- Subjects
Sports medicine ,RC1200-1245 - Abstract
Objectives: By now, many long-term symptoms after COVID-19 are described, mostly concerning hospitalized patients. Our aim was to investigate the long-term effect of COVID-19 on the lung function with focus on the diffusion capacity of athletes. Methods: 99 athletes (34.1711.94 years, 56% female) after COVID-19 and 36 athletes (25.806.70 years, 65% female) without COVID-19 as controls were included. Symptom severity and lung function were assessed. Lung function of controls were compared with athletes after COVID-19 and changes in patients with dyspnea (during infection and at time of appointment) and changes over time between infection and examination on lung function were examined. Results: Exertional dyspnea during the infection was reported by 51% of athletes after COVID-19, respectively 27% at the time of examination (158137 days after infection). 30% of athletes after COVID-19 showed a reduced Diffusion Capacity of the Lungs for Carbon Monoxide (DLCO
- Published
- 2022
- Full Text
- View/download PDF
145. The Piwil1 N domain is required for germ cell survival in Atlantic salmon
- Author
-
Almeida F. L, Skaftnesmo K. O, Andersson E, Kleppe L, Edvardsen R. B, Norberg B, Fjelldal P. G, Hansen T. J, Schulz R. W, and Wargelius A
- Subjects
germline ,CRISPR/Cas9 ,spermatogenesis ,argonaute protein (AGO) ,fish sterility ,Biology (General) ,QH301-705.5 - Abstract
Genetic introgression of farmed salmon into wild populations can damage the genetic integrity of wild stocks and is therefore considered as an environmental threat. One possible solution is to induce sterility in farmed salmon. We have searched for proteins potentially essential for germline survival in Atlantic salmon. One of these is the argonaute protein Piwil1, known to be required for germ cell survival. To examine Piwil1 function in salmon, we induced indels in the N domain by CRISPR-Cas9. The encoded domain is present in all vertebrate Piwi proteins and has been linked to Tdrd1 protein interaction and PAZ lobe structure. The F0 founder generation of piwil1 crispant males and females displayed a mosaic pattern of piwil1 mutations, exhibiting highly mutated alleles (53%–97%) in their fin gDNA samples. In general, piwil1 crispants carried germ cells, went through puberty and became fertile, although a transient and partial germ cell loss and delays during the spermatogenic process were observed in many male crispants, suggesting that Piwil1 functions during salmon spermatogenesis. By crossing highly mutated F0 founders, we produced F1 fish with a mixture of: loss-of-function alleles (−); functional in frame mutated alleles (+) and wt alleles (+). In F1, all piwil1−/− fish lacked germ cells, while piwil1+/+ siblings showed normal ovaries and testes. Yet, most juvenile F1 piwil1+/−males and females displayed an intermediate phenotype with a higher somatic/germ cell ratio without an increase in germ cell apoptosis, suggestive of a gene dose effect on the number of germ cells and/or insufficient replacement of lost germ cells in heterozygous fish. Interestingly, the two longest in-frame indels in the N domain also ensured germ cell loss. Hence, the loss of 4–6 aa in this region Phe130-Ser136 may result in crucial changes of the protein structure, potentially affecting piRNA binding of the PAZ lobe, and/or affecting the binding of Piwil1 interacting proteins such as Tdrd protein, with critical consequences for the survival of primordial germ cells. In conclusion, we show that loss of piwil1 leads to loss of germ cells in salmon and that part of the N domain of Piwil1 is crucial for its function.
- Published
- 2022
- Full Text
- View/download PDF
146. Didattica e inclusione scolastica – Inklusion im Bildungsbereich 2023
- Author
-
Berti, Francesca, Bešić, Edvina, Bocci, Fabio, Cappello, Silver, Carlà, Andrea, Dell'Anna, Silvia, Demo, Heidrun, Emili, Enrico Angelo, Failo, Alessandro, Frizzarin, Anna, Gousis, Sarah, Holzinger, Andrea, Imperio, Alessandra, Kofler, Doris, Lange, Sarah Desirée, Macchia, Vanessa, Medda-Windischer, Roberta, Moser, Vera, Platte, Andrea, Rigo, Valeria, Sannipoli, Moira, Seitz, Simone, Schulz, Oksana Kseniya, DEMO, Heidrun, Cappello, Silver, MACCHIA, Vanessa, and Seitz, Simone
- Subjects
Education ,Special needs education ,Networking ,Italy ,South Tyrol ,thema EDItEUR::J Society and Social Sciences::JN Education ,thema EDItEUR::J Society and Social Sciences::JN Education::JNF Educational strategies and policy - Abstract
The eighth edition of the conference ‘Didattica e Inclusione Scolastica - Inclusion in Education’, which was organised under the direction of the Competence Centre for Inclusion in Education at the Free University of Bozen-Bolzano, is dedicated to the topic of networking and community building in a multilingual, intercultural dialogue that builds a bridge between German- and Italian-speaking discourses. The fourteen contributions explore theoretical references, methods and tools for the development of inclusive education from different perspectives, with a particular focus on didactics.
- Published
- 2024
- Full Text
- View/download PDF
147. Sexual misconduct by New Zealand lawyers
- Author
-
Forster, Christine, Schulz, Jennifer, and Diesfeld, Kate
- Published
- 2023
148. Kō; Buy now, pay later
- Author
-
Schulz, Derek
- Published
- 2023
149. Meet the people spurning supermarkets
- Author
-
Schulz, Chris
- Published
- 2023
150. The Cum-ex Case: A Look at Germany
- Author
-
Schulz, Bastian
- Subjects
tax fraud ,dividend taxes ,cum-ex trading ,tax evasion ,withholding tax ,Economics as a science ,HB71-74 - Abstract
This paper focuses on a particular form of stock-market trades around ex-dividend days, so-called “cum-ex” transactions, which have resulted in major revenue losses due to illegitimate tax refunds in Germany and other European nations. Until 2012, the loophole in the German withholding tax scheme made it possible for cum-ex traders to receive withholding-tax certificates without prior withholding-tax payment. Because a certain category of investors might use the tax certificates to gain a tax exemption, this opened up the prospect of a particular form of tax arbitration. It was not until 2018 that a cross-border investigation team called the Cum-Ex Files revealed the scandal to its full extend. This paper will mainly focus on the cum-ex scandal in Germany since the literature on the topic is very limited.
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.