64,499 results on '"Magnusson, A"'
Search Results
52. Functional responses of amazonian frogs to flooding by a large hydroelectric dam
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Dayrell, Jussara Santos, Fraga, Rafael de, Peres, Carlos A., Bobrowiec, Paulo Estefano D., Magnusson, William E., and Lima, Albertina Pimentel
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- 2024
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53. Robustness of biodiversity surrogates to temporal variation and imperfect detection
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da Silva Utta, Ana Cristina, Pequeno, Pedro Aurélio Costa Lima, Magnusson, William Ernest, and Souza, Jorge Luiz Pereira
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- 2024
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54. The Impact of the Pandemic on Health and Quality of Life of Informal Caregivers of Older People: Results from a Cross-National European Survey in an Age-Related Perspective
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Socci, Marco, Di Rosa, Mirko, Quattrini, Sabrina, Lamura, Giovanni, Hanson, Elizabeth, Magnusson, Lennart, Yghemonos, Stecy, Cavrini, Giulia, Teti, Andrea, and Santini, Sara
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- 2024
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55. Towards Human-Level Text Coding with LLMs: The Case of Fatherhood Roles in Public Policy Documents
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Lupo, Lorenzo, Magnusson, Oscar, Hovy, Dirk, Naurin, Elin, and Wängnerud, Lena
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Computer Science - Computation and Language ,Computer Science - Computers and Society ,J.4 ,I.2 - Abstract
Recent advances in large language models (LLMs) like GPT-3.5 and GPT-4 promise automation with better results and less programming, opening up new opportunities for text analysis in political science. In this study, we evaluate LLMs on three original coding tasks involving typical complexities encountered in political science settings: a non-English language, legal and political jargon, and complex labels based on abstract constructs. Along the paper, we propose a practical workflow to optimize the choice of the model and the prompt. We find that the best prompting strategy consists of providing the LLMs with a detailed codebook, as the one provided to human coders. In this setting, an LLM can be as good as or possibly better than a human annotator while being much faster, considerably cheaper, and much easier to scale to large amounts of text. We also provide a comparison of GPT and popular open-source LLMs, discussing the trade-offs in the model's choice. Our software allows LLMs to be easily used as annotators and is publicly available: https://github.com/lorelupo/pappa.
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- 2023
56. What's In My Big Data?
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Elazar, Yanai, Bhagia, Akshita, Magnusson, Ian, Ravichander, Abhilasha, Schwenk, Dustin, Suhr, Alane, Walsh, Pete, Groeneveld, Dirk, Soldaini, Luca, Singh, Sameer, Hajishirzi, Hanna, Smith, Noah A., and Dodge, Jesse
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Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
Large text corpora are the backbone of language models. However, we have a limited understanding of the content of these corpora, including general statistics, quality, social factors, and inclusion of evaluation data (contamination). In this work, we propose What's In My Big Data? (WIMBD), a platform and a set of sixteen analyses that allow us to reveal and compare the contents of large text corpora. WIMBD builds on two basic capabilities -- count and search -- at scale, which allows us to analyze more than 35 terabytes on a standard compute node. We apply WIMBD to ten different corpora used to train popular language models, including C4, The Pile, and RedPajama. Our analysis uncovers several surprising and previously undocumented findings about these corpora, including the high prevalence of duplicate, synthetic, and low-quality content, personally identifiable information, toxic language, and benchmark contamination. For instance, we find that about 50% of the documents in RedPajama and LAION-2B-en are duplicates. In addition, several datasets used for benchmarking models trained on such corpora are contaminated with respect to important benchmarks, including the Winograd Schema Challenge and parts of GLUE and SuperGLUE. We open-source WIMBD's code and artifacts to provide a standard set of evaluations for new text-based corpora and to encourage more analyses and transparency around them., Comment: Published at ICLR 2024 spotlight
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- 2023
57. Do we need scan-matching in radar odometry?
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Kubelka, Vladimír, Fritz, Emil, and Magnusson, Martin
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Computer Science - Robotics - Abstract
There is a current increase in the development of "4D" Doppler-capable radar and lidar range sensors that produce 3D point clouds where all points also have information about the radial velocity relative to the sensor. 4D radars in particular are interesting for object perception and navigation in low-visibility conditions (dust, smoke) where lidars and cameras typically fail. With the advent of high-resolution Doppler-capable radars comes the possibility of estimating odometry from single point clouds, foregoing the need for scan registration which is error-prone in feature-sparse field environments. We compare several odometry estimation methods, from direct integration of Doppler/IMU data and Kalman filter sensor fusion to 3D scan-to-scan and scan-to-map registration, on three datasets with data from two recent 4D radars and two IMUs. Surprisingly, our results show that the odometry from Doppler and IMU data alone give similar or better results than 3D point cloud registration. In our experiments, the average position error can be as low as 0.3% over 1.8 and 4.5km trajectories. That allows accurate estimation of 6DOF ego-motion over long distances also in feature-sparse mine environments. These results are useful not least for applications of navigation with resource-constrained robot platforms in feature-sparse and low-visibility conditions such as mining, construction, and search & rescue operations., Comment: Preprint. Submitted to ICRA 2024. 7 pages, 11 figures
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- 2023
58. Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
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Yang, Shih-Min, Magnusson, Martin, Stork, Johannes A., and Stoyanov, Todor
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Computer Science - Robotics ,Computer Science - Machine Learning - Abstract
Many practically relevant robot grasping problems feature a target object for which all grasps are occluded, e.g., by the environment. Single-shot grasp planning invariably fails in such scenarios. Instead, it is necessary to first manipulate the object into a configuration that affords a grasp. We solve this problem by learning a sequence of actions that utilize the environment to change the object's pose. Concretely, we employ hierarchical reinforcement learning to combine a sequence of learned parameterized manipulation primitives. By learning the low-level manipulation policies, our approach can control the object's state through exploiting interactions between the object, the gripper, and the environment. Designing such a complex behavior analytically would be infeasible under uncontrolled conditions, as an analytic approach requires accurate physical modeling of the interaction and contact dynamics. In contrast, we learn a hierarchical policy model that operates directly on depth perception data, without the need for object detection, pose estimation, or manual design of controllers. We evaluate our approach on picking box-shaped objects of various weight, shape, and friction properties from a constrained table-top workspace. Our method transfers to a real robot and is able to successfully complete the object picking task in 98\% of experimental trials. Supplementary information and videos can be found at https://shihminyang.github.io/ED-PMP/., Comment: 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
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- 2023
59. Doppler-only Single-scan 3D Vehicle Odometry
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Galeote-Luque, Andres, Kubelka, Vladimír, Magnusson, Martin, Ruiz-Sarmiento, Jose-Raul, and Gonzalez-Jimenez, Javier
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Computer Science - Robotics - Abstract
We present a novel 3D odometry method that recovers the full motion of a vehicle only from a Doppler-capable range sensor. It leverages the radial velocities measured from the scene, estimating the sensor's velocity from a single scan. The vehicle's 3D motion, defined by its linear and angular velocities, is calculated taking into consideration its kinematic model which provides a constraint between the velocity measured at the sensor frame and the vehicle frame. Experiments carried out prove the viability of our single-sensor method compared to mounting an additional IMU. Our method provides the translation of the sensor, which cannot be reliably determined from an IMU, as well as its rotation. Its short-term accuracy and fast operation (~5ms) make it a proper candidate to supply the initialization to more complex localization algorithms or mapping pipelines. Not only does it reduce the error of the mapper, but it does so at a comparable level of accuracy as an IMU would. All without the need to mount and calibrate an extra sensor on the vehicle., Comment: This work has been submitted to the IEEE for possible publication
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- 2023
60. RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing
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Mock, Alexander, Magnusson, Martin, and Hertzberg, Joachim
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Computer Science - Robotics - Abstract
RadaRays allows for the accurate modeling and simulation of rotating FMCW radar sensors in complex environments, including the simulation of reflection, refraction, and scattering of radar waves. Our software is able to handle large numbers of objects and materials, making it suitable for use in a variety of mobile robotics applications. We demonstrate the effectiveness of RadaRays through a series of experiments and show that it can more accurately reproduce the behavior of FMCW radar sensors in a variety of environments, compared to the ray casting-based lidar-like simulations that are commonly used in simulators for autonomous driving such as CARLA. Our experiments additionally serve as valuable reference point for researchers to evaluate their own radar simulations. By using RadaRays, developers can significantly reduce the time and cost associated with prototyping and testing FMCW radar-based algorithms. We also provide a Gazebo plugin that makes our work accessible to the mobile robotics community.
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- 2023
61. The Cambridge Law Corpus: A Dataset for Legal AI Research
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Östling, Andreas, Sargeant, Holli, Xie, Huiyuan, Bull, Ludwig, Terenin, Alexander, Jonsson, Leif, Magnusson, Måns, and Steffek, Felix
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Computer Science - Computation and Language ,Computer Science - Computers and Society ,Statistics - Applications - Abstract
We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research. It consists of over 250 000 court cases from the UK. Most cases are from the 21st century, but the corpus includes cases as old as the 16th century. This paper presents the first release of the corpus, containing the raw text and meta-data. Together with the corpus, we provide annotations on case outcomes for 638 cases, done by legal experts. Using our annotated data, we have trained and evaluated case outcome extraction with GPT-3, GPT-4 and RoBERTa models to provide benchmarks. We include an extensive legal and ethical discussion to address the potentially sensitive nature of this material. As a consequence, the corpus will only be released for research purposes under certain restrictions.
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- 2023
62. CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction
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Zhu, Yufei, Rudenko, Andrey, Kucner, Tomasz P., Palmieri, Luigi, Arras, Kai O., Lilienthal, Achim J., and Magnusson, Martin
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Computer Science - Robotics - Abstract
Human motion prediction is important for mobile service robots and intelligent vehicles to operate safely and smoothly around people. The more accurate predictions are, particularly over extended periods of time, the better a system can, e.g., assess collision risks and plan ahead. In this paper, we propose to exploit maps of dynamics (MoDs, a class of general representations of place-dependent spatial motion patterns, learned from prior observations) for long-term human motion prediction (LHMP). We present a new MoD-informed human motion prediction approach, named CLiFF-LHMP, which is data efficient, explainable, and insensitive to errors from an upstream tracking system. Our approach uses CLiFF-map, a specific MoD trained with human motion data recorded in the same environment. We bias a constant velocity prediction with samples from the CLiFF-map to generate multi-modal trajectory predictions. In two public datasets we show that this algorithm outperforms the state of the art for predictions over very extended periods of time, achieving 45% more accurate prediction performance at 50s compared to the baseline., Comment: Accepted to the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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- 2023
63. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.
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Scholz, Markus, Horn, Katrin, Pott, Janne, Wuttke, Matthias, Kühnapfel, Andreas, Nasr, M, Kirsten, Holger, Li, Yong, Hoppmann, Anselm, Gorski, Mathias, Ghasemi, Sahar, Li, Man, Tin, Adrienne, Chai, Jin-Fang, Cocca, Massimiliano, Wang, Judy, Nutile, Teresa, Akiyama, Masato, Åsvold, Bjørn, Bansal, Nisha, Biggs, Mary, Boutin, Thibaud, Brenner, Hermann, Brumpton, Ben, Burkhardt, Ralph, Cai, Jianwen, Campbell, Archie, Campbell, Harry, Chalmers, John, Chasman, Daniel, Chee, Miao, Chen, Xu, Cheng, Ching-Yu, Cifkova, Renata, Daviglus, Martha, Delgado, Graciela, Dittrich, Katalin, Edwards, Todd, Endlich, Karlhans, Michael Gaziano, J, Giri, Ayush, Giulianini, Franco, Gordon, Scott, Gudbjartsson, Daniel, Hallan, Stein, Hamet, Pavel, Hartman, Catharina, Hayward, Caroline, Heid, Iris, Hellwege, Jacklyn, Holleczek, Bernd, Holm, Hilma, Hutri-Kähönen, Nina, Hveem, Kristian, Isermann, Berend, Jonas, Jost, Joshi, Peter, Kamatani, Yoichiro, Kanai, Masahiro, Kastarinen, Mika, Khor, Chiea, Kiess, Wieland, Kleber, Marcus, Körner, Antje, Kovacs, Peter, Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard, Kuokkanen, Mikko, Kähönen, Mika, Lange, Leslie, Lash, James, Lehtimäki, Terho, Li, Hengtong, Lin, Bridget, Liu, Jianjun, Loeffler, Markus, Lyytikäinen, Leo-Pekka, Magnusson, Patrik, Martin, Nicholas, Matsuda, Koichi, Milaneschi, Yuri, Mishra, Pashupati, Mononen, Nina, Montgomery, Grant, Mook-Kanamori, Dennis, Mychaleckyj, Josyf, März, Winfried, Nauck, Matthias, Nikus, Kjell, Nolte, Ilja, Noordam, Raymond, Okada, Yukinori, Olafsson, Isleifur, Oldehinkel, Albertine, Penninx, Brenda, Perola, Markus, Pirastu, Nicola, and Polasek, Ozren
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Humans ,Male ,Female ,Androgens ,Genome-Wide Association Study ,Kidney ,Chromosomes ,Human ,X ,Response Elements ,Polymorphism ,Single Nucleotide ,Genetic Predisposition to Disease ,Tetraspanins - Abstract
X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.
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- 2024
64. 3D cultivation of non-small-cell lung cancer cell lines using four different methods
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Malmros, Karina, Kirova, Nadi, Kotarsky, Heike, Carlsén, Daniel, Mansour, Mohammed S.I., Magnusson, Mattias, Prabhala, Pavan, and Brunnström, Hans
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- 2024
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65. Shared genetic factors between osteoarthritis and cardiovascular disease may underlie common etiology
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Karin Magnusson, Aleksandra Turkiewicz, Andrea Dell’Isola, and Martin Englund
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Science - Abstract
Abstract Osteoarthritis is one of the most common musculoskeletal diseases and increases the risk of severe cardiovascular disease, like heart attack and stroke. In some individuals, osteoarthritis and cardiovascular disease will co-occur. This co-occurrence might be due to shared risk factors, for example high age, lifestyle factors and/or a shared genetic liability for the two diseases. Here, we show that the correlation between osteoarthritis and cardiovascular disease can be explained by shared genetic factors, independent of high age and body weight, and also likely independent of lifestyle factors, like smoking and physical activity level. Findings suggest that genetic factors that are shared for osteoarthritis and cardiovascular disease may contribute to both diseases. Thus, the prevailing idea that osteoarthritis is predominantly a risk factor for cardiovascular disease is challenged. Our findings imply that the current diagnostic boundaries between these diseases may need to be re-evaluated.
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- 2024
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66. Suicidal ideation and thoughts of self-harm during the COVID-19 pandemic among Swedish employees: a cohort study on the role of job instability and job insecurity
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Sandra Blomqvist, Hugo Westerlund, and Linda L. Magnusson Hanson
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COVID-19 ,Employment insecurity ,Organizational change ,Restructuring ,Staff reduction ,Suicidality ,Psychology ,BF1-990 - Abstract
Abstract Background Suicidal ideation may be a warning sign for suicide and previous work has indicated a higher prevalence of suicidal ideation during the COVID-19 pandemic. Job loss and job insecurity are potential risk factors for suicidal ideation, but their importance during the pandemic, and the role of organizational changes for suicidal ideation, is unclear. This study examined the association between various experiences associated with job loss and job insecurity during the pandemic and thoughts of suicide/self-harm in Sweden. Methods The study sample was drawn from the Swedish Longitudinal Occupational Survey of Health (SLOSH). Auxiliary data collections in February 2021 and 2022 assessed exposure to job loss/unemployment, furlough, workplace downsizing, or increased job insecurity versus stable employment and thoughts of suicide or self-harm (PHQ-9) during the pandemic. The analyses were based on 1558 individuals (2 349 observations) participating in either or both waves and who had been working before the pandemic. Logistic regression models with cluster-robust standard errors were fitted, including sociodemographic factors and prior mental health problems to control for potential confounding. Measures of personality based on a brief version of the Big-Five personality inventory were also added. Results The results indicated an association between all experiences, except furlough, and thoughts of suicide/self-harm, when adjusting for sex, age, civil status, socioeconomic status and prior mental health (job loss odds ratio (OR) = 3.70, 95% confidence interval (CI) 1.79–7.63, downsizing OR = 2.41, CI 1.24–4.70, job insecurity OR = 2.77, CI 1.15–6.67). The associations for job loss and insecurity were attenuated by adjustment for personality, although it remained statistically significant for downsizing. Conclusions The results suggested a higher risk of suicidal ideation connected with loss of employment and survival of a downsizing, but not a forced reduction in working times/pay during the COVID-19 pandemic. The association for subjective job insecurity was less robust and may be partly explained by personality.
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- 2024
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67. Changes in the prevalence of intellectual disability among 10-year-old children in Sweden during 2011 through 2021: a total population study
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Maki Morinaga, Viktor H. Ahlqvist, Michael Lundberg, Anna-Clara Hollander, Dheeraj Rai, and Cecilia Magnusson
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Intellectual disability ,Autism spectrum disorder ,Prevalence ,Epidemiology ,Sociodemographic factors ,Low birth weight ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Abstract Background Recent studies have suggested an increasing prevalence of intellectual disability diagnoses in some countries. Our aim was to describe the trend in the prevalence of intellectual disability diagnoses in Sweden and explore whether associated sociodemographic and perinatal factors can explain changes in the prevalence. Methods We used a register-based nationwide cohort of residents in Sweden born between 2001 and 2011. We calculated the prevalence of intellectual disability diagnoses by age 10 for each birth cohort and the prevalence ratios in relation to the baseline year 2011, overall and by severity of intellectual disability, and comorbidity of autism and attention-deficit/hyperactivity disorder. The prevalence ratios were stratified and adjusted for associated sociodemographic and perinatal factors. Results Among 1,096,800 individuals, 8,577 were diagnosed with intellectual disability by age 10. Among these, 3,949 (46%) and 2,768 (32%) were also diagnosed with autism and attention-deficit/hyperactivity disorder, respectively, and 4% were diagnosed with profound, 8% severe, 20% moderate, 52% mild, and 16% other/unspecific intellectual disability. The recorded age-10 prevalence of intellectual disability diagnoses increased from 0.64% (95% confidence interval 0.59–0.69%) in 2011 to 1.00% (0.94–1.06%) in 2021, corresponding to an annual prevalence ratio of 1.04 (1.04–1.05). The increase was, however, restricted to mild, moderate, and other/unspecific intellectual disability diagnoses, while the trends for profound and severe intellectual disability diagnoses were stable. The increasing trend was perhaps less pronounced among females and children with diagnosed attention-deficit/hyperactivity disorder, but independent of the co-occurrence of autism. The prevalence ratios did not change with stratification or adjustment for other associated demographic and perinatal factors. Conclusion The recorded prevalence of diagnosed mild and moderate intellectual disability among 10-year-olds in Sweden has increased over the recent decade. This increase could not be explained by changes in associated sociodemographic or perinatal factors, including birth weight, gestational age, and parental age, migration status, and education at the child’s birth. The increase instead may be due to changes in diagnostic practices in Sweden over time.
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- 2024
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68. The biogeography of the Amazonian tree flora
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Bruno Garcia Luize, Hanna Tuomisto, Robin Ekelschot, Kyle G. Dexter, Iêda L. do Amaral, Luiz de Souza Coelho, Francisca Dionízia de Almeida Matos, Diógenes de Andrade Lima Filho, Rafael P. Salomão, Florian Wittmann, Carolina V. Castilho, Marcelo de Jesus Veiga Carim, Juan Ernesto Guevara, Oliver L. Phillips, William E. Magnusson, Daniel Sabatier, Juan David Cardenas Revilla, Jean-François Molino, Mariana Victória Irume, Maria Pires Martins, José Renan da Silva Guimarães, José Ferreira Ramos, Olaf S. Bánki, Maria Teresa Fernandez Piedade, Dairon Cárdenas López, Nigel C. A. Pitman, Layon O. Demarchi, Jochen Schöngart, Evlyn Márcia Moraes de Leão Novo, Percy Núñez Vargas, Thiago Sanna Freire Silva, Eduardo Martins Venticinque, Angelo Gilberto Manzatto, Neidiane Farias Costa Reis, John Terborgh, Katia Regina Casula, Euridice N. Honorio Coronado, Abel Monteagudo Mendoza, Juan Carlos Montero, Flávia R. C. Costa, Ted R. Feldpausch, Adriano Costa Quaresma, Nicolás Castaño Arboleda, Charles Eugene Zartman, Timothy J. Killeen, Beatriz S. Marimon, Ben Hur Marimon, Rodolfo Vasquez, Bonifacio Mostacedo, Rafael L. Assis, Chris Baraloto, Dário Dantas do Amaral, Julien Engel, Pascal Petronelli, Hernán Castellanos, Marcelo Brilhante de Medeiros, Marcelo Fragomeni Simon, Ana Andrade, José Luís Camargo, William F. Laurance, Susan G. W. Laurance, Lorena Maniguaje Rincón, Juliana Schietti, Thaiane R. Sousa, Gisele Biem Mori, Emanuelle de Sousa Farias, Maria Aparecida Lopes, José Leonardo Lima Magalhães, Henrique Eduardo Mendonça Nascimento, Helder Lima de Queiroz, Caroline C. Vasconcelos, Gerardo A. Aymard C, Roel Brienen, Pablo R. Stevenson, Alejandro Araujo-Murakami, Bruno Barçante Ladvocat Cintra, Tim R. Baker, Yuri Oliveira Feitosa, Hugo F. Mogollón, Joost F. Duivenvoorden, Carlos A. Peres, Miles R. Silman, Leandro Valle Ferreira, José Rafael Lozada, James A. Comiskey, José Julio de Toledo, Gabriel Damasco, Nállarett Dávila, Freddie C. Draper, Roosevelt García-Villacorta, Aline Lopes, Alberto Vicentini, Fernando Cornejo Valverde, Alfonso Alonso, Luzmila Arroyo, Francisco Dallmeier, Vitor H. F. Gomes, Eliana M. Jimenez, David Neill, Maria Cristina Peñuela Mora, Janaína Costa Noronha, Daniel P. P. de Aguiar, Flávia Rodrigues Barbosa, Yennie K. Bredin, Rainiellen de Sá Carpanedo, Fernanda Antunes Carvalho, Fernanda Coelho de Souza, Kenneth J. Feeley, Rogerio Gribel, Torbjørn Haugaasen, Joseph E. Hawes, Marcelo Petratti Pansonato, John J. Pipoly, Marcos Ríos Paredes, Domingos de Jesus Rodrigues, Jos Barlow, Erika Berenguer, Izaias Brasil da Silva, Maria Julia Ferreira, Joice Ferreira, Paul V. A. Fine, Marcelino Carneiro Guedes, Carolina Levis, Juan Carlos Licona, Boris Eduardo Villa Zegarra, Vincent Antoine Vos, Carlos Cerón, Flávia Machado Durgante, Émile Fonty, Terry W. Henkel, John Ethan Householder, Isau Huamantupa-Chuquimaco, Marcos Silveira, Juliana Stropp, Raquel Thomas, Doug Daly, William Milliken, Guido Pardo Molina, Toby Pennington, Ima Célia Guimarães Vieira, Bianca Weiss Albuquerque, Wegliane Campelo, Alfredo Fuentes, Bente Klitgaard, José Luis Marcelo Pena, J. Sebastián Tello, Corine Vriesendorp, Jerome Chave, Anthony Di Fiore, Renato Richard Hilário, Luciana de Oliveira Pereira, Juan Fernando Phillips, Gonzalo Rivas-Torres, Tinde R. van Andel, Patricio von Hildebrand, William Balee, Edelcilio Marques Barbosa, Luiz Carlos de Matos Bonates, Hilda Paulette Dávila Doza, Ricardo Zárate Gómez, Therany Gonzales, George Pepe Gallardo Gonzales, Bruce Hoffman, André Braga Junqueira, Yadvinder Malhi, Ires Paula de Andrade Miranda, Linder Felipe Mozombite Pinto, Adriana Prieto, Agustín Rudas, Ademir R. Ruschel, Natalino Silva, César I. A. Vela, Stanford Zent, Egleé L. Zent, María José Endara, Angela Cano, Yrma Andreina Carrero Márquez, Diego F. Correa, Janaina Barbosa Pedrosa Costa, Bernardo Monteiro Flores, David Galbraith, Milena Holmgren, Michelle Kalamandeen, Guilherme Lobo, Luis Torres Montenegro, Marcelo Trindade Nascimento, Alexandre A. Oliveira, Maihyra Marina Pombo, Hirma Ramirez-Angulo, Maira Rocha, Veridiana Vizoni Scudeller, Maria Natalia Umaña, Geertje van der Heijden, Emilio Vilanova Torre, Tony Mori Vargas, Manuel Augusto Ahuite Reategui, Cláudia Baider, Henrik Balslev, Sasha Cárdenas, Luisa Fernanda Casas, William Farfan-Rios, Cid Ferreira, Reynaldo Linares-Palomino, Casimiro Mendoza, Italo Mesones, Germaine Alexander Parada, Armando Torres-Lezama, Ligia Estela Urrego Giraldo, Daniel Villarroel, Roderick Zagt, Miguel N. Alexiades, Edmar Almeida de Oliveira, Riley P. Fortier, Karina Garcia-Cabrera, Lionel Hernandez, Walter Palacios Cuenca, Susamar Pansini, Daniela Pauletto, Freddy Ramirez Arevalo, Adeilza Felipe Sampaio, Elvis H. Valderrama Sandoval, Luis Valenzuela Gamarra, Marina Hirota, Clarisse Palma-Silva, and Hans ter Steege
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Biology (General) ,QH301-705.5 - Abstract
Abstract We describe the geographical variation in tree species composition across Amazonian forests and show how environmental conditions are associated with species turnover. Our analyses are based on 2023 forest inventory plots (1 ha) that provide abundance data for a total of 5188 tree species. Within-plot species composition reflected both local environmental conditions (especially soil nutrients and hydrology) and geographical regions. A broader-scale view of species turnover was obtained by interpolating the relative tree species abundances over Amazonia into 47,441 0.1-degree grid cells. Two main dimensions of spatial change in tree species composition were identified. The first was a gradient between western Amazonia at the Andean forelands (with young geology and relatively nutrient-rich soils) and central–eastern Amazonia associated with the Guiana and Brazilian Shields (with more ancient geology and poor soils). The second gradient was between the wet forests of the northwest and the drier forests in southern Amazonia. Isolines linking cells of similar composition crossed major Amazonian rivers, suggesting that tree species distributions are not limited by rivers. Even though some areas of relatively sharp species turnover were identified, mostly the tree species composition changed gradually over large extents, which does not support delimiting clear discrete biogeographic regions within Amazonia.
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- 2024
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69. CDK4 is co-amplified with either TP53 promoter gene fusions or MDM2 through distinct mechanisms in osteosarcoma
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Karim H. Saba, Valeria Difilippo, Emelie Styring, Jenny Nilsson, Linda Magnusson, Hilda van den Bos, René Wardenaar, Diana C. J. Spierings, Floris Foijer, Michaela Nathrath, Felix Haglund de Flon, Daniel Baumhoer, and Karolin H. Nord
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Medicine ,Genetics ,QH426-470 - Abstract
Abstract Amplification of the MDM2 and CDK4 genes on chromosome 12 is commonly associated with low-grade osteosarcomas. In this study, we conducted high-resolution genomic and transcriptomic analyses on 33 samples from 25 osteosarcomas, encompassing both high- and low-grade cases with MDM2 and/or CDK4 amplification. We discerned four major subgroups, ranging from nearly intact genomes to heavily rearranged ones, each harbouring CDK4 and MDM2 amplification or CDK4 amplification with TP53 structural alterations. While amplicons involving MDM2 exhibited signs of an initial chromothripsis event, no evidence of chromothripsis was found in TP53-rearranged cases. Instead, the initial disruption of the TP53 locus led to co-amplification of the CDK4 locus. Additionally, we observed recurring promoter swapping events involving the regulatory regions of the FRS2, PLEKHA5, and TP53 genes. These events resulted in ectopic expression of partner genes, with the ELF1 gene being upregulated by the FRS2 and TP53 promoter regions in two distinct cases.
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- 2024
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70. The effect of six-week regular stretching exercises on regional and distant pain sensitivity: an experimental longitudinal study on healthy adults
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Morten Pallisgaard Støve, Janus Laust Thomsen, Stig Peter Magnusson, and Allan Riis
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Active stretching ,Pain sensitivity ,Range of motion ,Pain threshold ,Stretching cessation ,Sports medicine ,RC1200-1245 - Abstract
Abstract Background Stretching exercises are widely used for pain relief and show positive effects on musculoskeletal, nociplastic and neuropathic pain; the magnitude of altered pain sensitivity responses following regular stretching is currently unknown. This study aimed to investigate the effect of six weeks of regular stretching exercise on regional and widespread pain sensitivity and range of motion and the effect of stretching cessation on regional and widespread pain sensitivity and range of motion. Methods An experimental single-blind longitudinal repeated measures study. Twenty-six healthy adults were recruited. Regional and distant pressure pain thresholds and passive knee extension range of motion were measured at three points: before (baseline) and after six weeks (post-stretch) of daily bilateral hamstring stretching exercises and following four weeks of cessation (post-cessation) from stretching exercises. Results Participants had a mean ± standard deviation (range) age of 23.8 ± 2.1 (21–30) years. There was a 36.7% increase in regional (p = 0.003), an 18.7% increase in distant pressure pain thresholds (p = 0.042) and a 3.6% increase in range of motion (p = 0.002) between baseline and post-stretch measures. No statistically significant differences were found for regional (p = 1.000) or distant pressure pain thresholds (p = 1.000), or range of motion (p = 1.000) between post-stretch and post-cessation. A 41.2% increase in distant pressure pain thresholds (p = 0.001), a 15.4% increase in regional pressure pain thresholds from baseline to post-cessation (p = 0.127) and a 3.6% increase in passive knee extension range of motion (p = 0.005) were found from baseline to post-cessation. Conclusions Six weeks of regular stretching exercises significantly decreased regional and widespread pain sensitivity. Moreover, the results showed that the hypoalgesic effect of stretching on regional and widespread pain sensitivity persisted following four weeks of cessation. The results further support the rationale of adding stretching exercises to rehabilitation efforts for patients experiencing nociceptive, nociplastic, and neuropathic pain. However, further research is needed to investigate how the long-term effects of stretching exercises compare with no treatment in clinical populations. Trial registration The trial was registered June 1st, 2021 at ClinicalTrials.gov (Trial registration number NCT04919681).
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- 2024
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71. Structured diabetes care routines in cardiac rehabilitation are associated with increased diabetes detection and improved treatment after myocardial infarction: a nationwide observational study
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Bashaaer Sharad, Nils Eckerdal, Martin Magnusson, Halldora Ögmundsdottir Michelsen, Amra Jujic, Matthias Lidin, Linda Mellbin, Nael Shaat, Ronnie Pingel, John Wallert, Emil Hagström, and Margrét Leósdóttir
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Cardiac rehabilitation ,Myocardial infarction ,Diabetes ,Secondary prevention ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background Despite the detrimental impact of abnormal glucose metabolism on cardiovascular prognosis after myocardial infarction (MI), diabetes is both underdiagnosed and undertreated. We investigated associations between structured diabetes care routines in cardiac rehabilitation (CR) and detection and treatment of diabetes at one-year post-MI. Methods Center-level data was derived from the Perfect-CR survey, which evaluated work routines applied at Swedish CR centers (n = 76). Work routines involving diabetes care included: (1) routine assessment of fasting glucose and/or HbA1c, (2) routine use of oral glucose tolerance test (OGTT), (3) having regular case rounds with diabetologists, and (4) whether glucose-lowering medication was adjusted by CR physicians. Patient-level data was obtained from the national MI registry SWEDEHEART (n = 7601, 76% male, mean age 62.6 years) and included all post-MI patients irrespective of diabetes diagnosis. Using mixed-effects regression we estimated differences between patients exposed versus. not exposed to the four above-mentioned diabetes care routines. Outcomes were newly detected diabetes and the proportion of patients receiving oral glucose-lowering medication at one-year post-MI. Results Routine assessment of fasting glucose/HbA1c was performed at 63.2% (n = 48) of the centers, while 38.2% (n = 29) reported using OGTT for detecting glucose abnormalities. Glucose-lowering medication adjusted by CR physicians (n = 13, 17.1%) or regular case rounds with diabetologists (n = 7, 9.2%) were less frequently reported. In total, 4.0% of all patients (n = 304) were diagnosed with diabetes during follow-up and 17.9% (n = 1361) were on oral glucose-lowering treatment one-year post-MI. Routine use of OGTT was associated with a higher rate of newly detected diabetes at one-year (risk ratio [95% confidence interval]: 1.62 [1.26, 1.98], p = 0.0007). At one-year a higher proportion of patients were receiving oral glucose-lowering medication at centers using OGTT (1.22 [1.07, 1.37], p = 0.0046) and where such medication was adjusted by CR physicians (1.31 [1.06, 1.56], p = 0.0155). Compared to having none of the structured diabetes care routines, the more routines implemented the higher the rate of newly detected diabetes (from 0 routines: 2.7% to 4 routines: 6.3%; p for trend = 0.0014). Conclusions Having structured routines for diabetes care implemented within CR can improve detection and treatment of diabetes post-MI. A cluster-randomized trial is warranted to ascertain causality.
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- 2024
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72. Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
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J. Dorrington, M. Wenta, F. Grazzini, L. Magnusson, F. Vitart, and C. M. Grams
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Environmental technology. Sanitary engineering ,TD1-1066 ,Geography. Anthropology. Recreation ,Environmental sciences ,GE1-350 ,Geology ,QE1-996.5 - Abstract
The ever-increasing complexity and data volumes of numerical weather prediction demand innovations in the analysis and synthesis of operational forecast data. Here we show how dynamical thinking can offer directly applicable forecast information, taking as a case study the extreme northern Italy flooding of May 2023. We compare this event with long-lasting historical northern Italy rainfall events in order to determine (a) why it was so extreme, (b) how well it was predicted, and (c) how we may improve our predictions of such extremes. Lagrangian analysis shows, in line with previous work, that 48-hourly extreme rainfall in Italy can be caused by moist air masses originating from the North Atlantic; North Africa; and, to a lesser extent, eastern Europe, with compounding moisture contributions from all three regions driving the May 2023 event. We identify the large-scale precursors of typical northern Italy rainfall extremes based on geopotential height and integrated vapour transport fields. We show in European Centre for Medium-Range Weather Forecasts (ECMWF) operational forecasts that a precursor perspective was able to identify the growing possibility of the Emilia-Romagna extreme event 8 d beforehand – 4 d earlier than the direct precipitation forecast. Such dynamical precursors prove to be well suited for identifying and interpreting predictability barriers and could help build forecasters' understanding of unfolding extreme scenarios in the medium range. We conclude by discussing the broader implications and operational potential of dynamically rooted metrics for understanding and predicting extreme events, both in retrospect and in real time.
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- 2024
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73. Life Experience Pathways to College Student Emotional and Mental Health: A Structural Equation Model
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Carl L. Hanson, Brianna M. Magnusson, Alice Ann Crandall, Michael D. Barnes, Emily McFarland, and McKaylee Smith
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Objective: Previous research suggests that both adverse childhood experiences (ACEs), positive childhood experiences (PCEs), and current life experiences are associated with emotional wellbeing and mental health. The purpose of this study was to explore the influence of these life experience and coping processes on college student emotional and mental health. Participants: College students (N = 555) were recruited from a large western university. Methods: Participants completed an online cross-sectional survey measuring early and current life experiences, cognitive and emotional coping efforts, and emotional and mental health outcomes. Data were analyzed using structural equation modeling. Results: There was an indirect effect of PCEs on emotional and mental health through cognitive and emotional coping efforts. No association was observed between ACEs and mental health. Conclusions: Increases in PCEs are protective, enhance coping efforts, and strengthen emotional and mental health outcomes among college students.
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- 2024
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74. Read-Aloud and Writing Practices in Nordic Preschools
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Tarja Alatalo, Martina Norling, Maria Magnusson, Sofie Tjäru, Hanne Naess Hjetland, and Hilde Hofslundsengen
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Preschool teachers' read-aloud and writing practices were investigated using a questionnaire about how activities were planned and organized, and what their purpose was. The results indicate that early literacy practices were not planned systematically. Most of the preschool teachers (77%) reported having storybook read-alouds at least three times per week. A large minority (45.5%) reported never or seldom using writing activities, and rarely in play. The main aims of read-alouds were to promote learning and development, create a sense of community, and regulate group activities. The main aims of writing practices were to learn about letters, understand the function of print, and arouse interest in writing. We discuss the implications of these findings in relation to a need for a didactic approach, where play is the core of early literacy practices.
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- 2024
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75. Workplace flexibility and the dilemmas of family-friendly choice: a new perspective on the puzzling gender inequality in Sweden
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Grönlund, Anne, primary and Magnusson, Charlotta, additional
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- 2024
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76. The rise of data-driven weather forecasting
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Ben-Bouallegue, Zied, Clare, Mariana C A, Magnusson, Linus, Gascon, Estibaliz, Maier-Gerber, Michael, Janousek, Martin, Rodwell, Mark, Pinault, Florian, Dramsch, Jesper S, Lang, Simon T K, Raoult, Baudouin, Rabier, Florence, Chevallier, Matthieu, Sandu, Irina, Dueben, Peter, Chantry, Matthew, and Pappenberger, Florian
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Physics - Atmospheric and Oceanic Physics - Abstract
Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications. The uptake of ML methods could be a game-changer for the incremental progress in traditional numerical weather prediction (NWP) known as the 'quiet revolution' of weather forecasting. The computational cost of running a forecast with standard NWP systems greatly hinders the improvements that can be made from increasing model resolution and ensemble sizes. An emerging new generation of ML models, developed using high-quality reanalysis datasets like ERA5 for training, allow forecasts that require much lower computational costs and that are highly-competitive in terms of accuracy. Here, we compare for the first time ML-generated forecasts with standard NWP-based forecasts in an operational-like context, initialized from the same initial conditions. Focusing on deterministic forecasts, we apply common forecast verification tools to assess to what extent a data-driven forecast produced with one of the recently developed ML models (PanguWeather) matches the quality and attributes of a forecast from one of the leading global NWP systems (the ECMWF IFS). The results are very promising, with comparable skill for both global metrics and extreme events, when verified against both the operational analysis and synoptic observations. Increasing forecast smoothness and bias drift with forecast lead time are identified as current drawbacks of ML-based forecasts. A new NWP paradigm is emerging relying on inference from ML models and state-of-the-art analysis and reanalysis datasets for forecast initialization and model training.
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- 2023
77. Integrating holomorphic sectional curvatures
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Magnússon, Gunnar Þór
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Mathematics - Differential Geometry ,Mathematics - Algebraic Geometry ,Mathematics - Complex Variables - Abstract
We calculate the $L^2$-norm of the holomorphic sectional curvature of a K\"ahler metric by representation-theoretic means. This yields a new proof that the holomorphic sectional curvature determines the whole curvature tensor. We then investigate what the holomorphic sectional curvature of a Hermitian metric determines and calculate the $L^2$-norm of the holomorphic bisectional curvature., Comment: 9 pages, comments welcome
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- 2023
78. Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver
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Schreiter, Tim, Morillo-Mendez, Lucas, Chadalavada, Ravi T., Rudenko, Andrey, Billing, Erik, Magnusson, Martin, Arras, Kai O., and Lilienthal, Achim J.
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Computer Science - Robotics - Abstract
Robots are increasingly used in shared environments with humans, making effective communication a necessity for successful human-robot interaction. In our work, we study a crucial component: active communication of robot intent. Here, we present an anthropomorphic solution where a humanoid robot communicates the intent of its host robot acting as an "Anthropomorphic Robotic Mock Driver" (ARMoD). We evaluate this approach in two experiments in which participants work alongside a mobile robot on various tasks, while the ARMoD communicates a need for human attention, when required, or gives instructions to collaborate on a joint task. The experiments feature two interaction styles of the ARMoD: a verbal-only mode using only speech and a multimodal mode, additionally including robotic gaze and pointing gestures to support communication and register intent in space. Our results show that the multimodal interaction style, including head movements and eye gaze as well as pointing gestures, leads to more natural fixation behavior. Participants naturally identified and fixated longer on the areas relevant for intent communication, and reacted faster to instructions in collaborative tasks. Our research further indicates that the ARMoD intent communication improves engagement and social interaction with mobile robots in workplace settings., Comment: This paper has been accepted to the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), which will be held in Busan, South Korea on August 28-31, 2023. For more information, please visit: https://ro-man2023.org/main
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- 2023
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79. Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall
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Dorrington, Joshua, Grams, Christian, Grazzini, Federico, Magnusson, Linus, and Vitart, Frederic
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Physics - Atmospheric and Oceanic Physics ,Physics - Data Analysis, Statistics and Probability - Abstract
A number of studies have investigated the large-scale drivers and upstream-precursors of extreme weather events, making it clear that the earliest warning signs of extreme events can be remote in both time and space from the impacted region. Integrating and leveraging our understanding of dynamical precursors provides a new perspective on ensemble forecasting for extreme events, focused on building story-lines of possible event evolution. This then acts as a tool for raising awareness of the conditions conducive to high-impact weather, and providing early warning of their possible development. However, operational applications of this developing knowledge-base is limited so far, perhaps for want of a clear framework for doing so. Here, we present such a framework, supported by open software tools, designed for identifying large-scale precursors of categorical weather events in an automated fashion, and for reducing them to scalar indices suitable for statistical prediction, forecast interpretation, and model validation. We demonstrate this framework by systematically analysing the precursor circulations of daily rainfall extremes across 18 regional- to national-scale European domains. We discuss the precursor rainfall dynamics for three disparate regions, and show our findings are consistent with, and extend, previous work. We provide an estimate of the predictive utility of these precursors across Europe based on logistic regression, and show that large-scale precursors can usefully predict heavy rainfall between two and six days ahead, depending on region and season. We further show how for more continental-scale applications the regionally-specific precursors can be synthesised into a minimal set of indices that drive heavy precipitation. We then provide comments and guidance for generalisation and application of our demonstrated approach to new variables, timescales and regions., Comment: 3 figure SI, 22 manuscript pages, 10 figures, submitted to QJRMS
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- 2023
80. On the curvature of the blowup of a point
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Magnússon, Gunnar Þór
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Mathematics - Differential Geometry ,Mathematics - Algebraic Geometry ,Mathematics - Complex Variables ,32Q15, 32J27 - Abstract
We consider the blowup of a point of a compact K\"ahler manifold and a metric of the form $\mu^*h + t b$ on it, where $h$ is a K\"ahler metric on the original manifold and $b$ is Hermitian form that looks like the Fubini--Study metric near the exceptional divisor. We calculate the curvature tensor of this metric on the exceptional divisor and show that its holomorphic sectional curvature is negative in some directions for all small enough $t$, which torpedos a natural approach to showing that blowups of manifolds of positive holomorphic sectional curvature have positive curvature., Comment: 6 pages, comments welcome
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- 2023
81. Reproducibility in NLP: What Have We Learned from the Checklist?
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Magnusson, Ian, Smith, Noah A., and Dodge, Jesse
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Computer Science - Computation and Language - Abstract
Scientific progress in NLP rests on the reproducibility of researchers' claims. The *CL conferences created the NLP Reproducibility Checklist in 2020 to be completed by authors at submission to remind them of key information to include. We provide the first analysis of the Checklist by examining 10,405 anonymous responses to it. First, we find evidence of an increase in reporting of information on efficiency, validation performance, summary statistics, and hyperparameters after the Checklist's introduction. Further, we show acceptance rate grows for submissions with more Yes responses. We find that the 44% of submissions that gather new data are 5% less likely to be accepted than those that did not; the average reviewer-rated reproducibility of these submissions is also 2% lower relative to the rest. We find that only 46% of submissions claim to open-source their code, though submissions that do have 8% higher reproducibility score relative to those that do not, the most for any item. We discuss what can be inferred about the state of reproducibility in NLP, and provide a set of recommendations for future conferences, including: a) allowing submitting code and appendices one week after the deadline, and b) measuring dataset reproducibility by a checklist of data collection practices., Comment: To be published in ACL 2023 Findings
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- 2023
82. A Data-Efficient Approach for Long-Term Human Motion Prediction Using Maps of Dynamics
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Zhu, Yufei, Rudenko, Andrey, Kucner, Tomasz P., Lilienthal, Achim J., and Magnusson, Martin
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Computer Science - Robotics - Abstract
Human motion prediction is essential for the safe and smooth operation of mobile service robots and intelligent vehicles around people. Commonly used neural network-based approaches often require large amounts of complete trajectories to represent motion dynamics in complex semantically-rich spaces. This requirement may complicate deployment of physical systems in new environments, especially when the data is being collected online from onboard sensors. In this paper we explore a data-efficient alternative using maps of dynamics (MoD) to represent place-dependent multi-modal spatial motion patterns, learned from prior observations. Our approach can perform efficient human motion prediction in the long-term perspective of up to 60 seconds. We quantitatively evaluate its accuracy with limited amount of training data in comparison to an LSTM-based baseline, and qualitatively show that the predicted trajectories reflect the natural semantic properties of the environment, e.g. the locations of short- and long-term goals, navigation in narrow passages, around obstacles, etc., Comment: in 5th LHMP Workshop held in conjunction with 40th IEEE International Conference on Robotics and Automation (ICRA), 29/05 - 02/06 2023, London
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- 2023
83. Polynomials with exponents in compact convex sets and associated weighted extremal functions -- The Bernstein-Walsh-Siciak theorem
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Magnússon, Benedikt Steinar, Sigurðsson, Ragnar, and Snorrason, Bergur
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Mathematics - Complex Variables ,32U35 (Primary) 32A08, 32A15, 32U15, 32W05 (Secondary) - Abstract
We generalize the Bernstein-Walsh-Siciak theorem on polynomial approximation in $\mathbb{C}^n$ to the case where the polynomial ring $\mathcal{P}(\mathbb{C}^n)$ is replaced by a subring $\mathcal{P}^S(\mathbb{C}^n)$ consisting of all polynomials with exponents restricted to sets $mS$, where $S$ is a compact convex subset of $\mathbb{R}_+^n$ with $0 \in S$ and $m = 0, 1, 2, 3, \dots$, and uniform estimates of error in the approximation are replaced by weighted uniform estimates with respect to an admissible weight function., Comment: 10 pages, 1 figure
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- 2023
84. Health Disparities in Rehabilitation--Education Focus
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Magnusson, Dawn
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Health - Abstract
Keywords: Health Disparities, Health Equity, Rehabilitation, The 2001 National Academy of Medicine (previously the Institute of Medicine) report Crossing the Quality Chasm: A New Health System for the 21st Century listed health equity as one of [...]
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- 2024
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85. A rebuttal to “The ineffectiveness of stretching exercises in patients with fibromyalgia: A systematic review discussion” — comments on “The effectiveness of stretching exercises in patients with fibromyalgia”
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Støve, Morten Pallisgaard, Dissing, Anne Mette Lücke, Thomsen, Janus Laust, Magnusson, Stig Peter, and Riis, Allan
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- 2024
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86. Assessment of the probability of introduction of Thaumatotibia leucotreta into the European Union with import of cut roses.
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Bragard, Claude, Baptista, Paula, Chatzivassiliou, Elisavet, Di Serio, Francesco, Gonthier, Paolo, Jaques Miret, Josep, Fejer Justesen, Annemarie, MacLeod, Alan, Magnusson, Christer, Navas-Cortes, Juan, Parnell, Stephen, Potting, Roel, Reignault, Philippe, Stefani, Emilio, Thulke, Hans-Hermann, Vicent Civera, Antonio, Van der Werf, Wopke, Yuen, Jonathan, Zappalà, Lucia, Loomans, Antoon, Ponti, Luigi, Crotta, Matteo, Maiorano, Andrea, Mosbach-Schulz, Olaf, Rossi, Eugenio, Stancanelli, Giuseppe, Milonas, Panagiotis, and Gutierrez, Andrew
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Africa ,Israel ,climate suitability ,false codling moth ,pathway model ,quantitative assessment ,waste management - Abstract
Following a request from the European Commission, the EFSA Panel on Plant Health performed a quantitative pest risk assessment to assess whether the import of cut roses provides a pathway for the introduction of Thaumatotibia leucotreta (Lepidoptera: Tortricidae) into the EU. The assessment was limited to the entry and establishment steps. A pathway model was used to assess how many T. leucotreta individuals would survive and emerge as adults from commercial or household wastes in an EU NUTS2 region climatically suitable in a specific season. This pathway model for entry consisted of three components: a cut roses distribution model, a T. leucotreta developmental model and a waste model. Four scenarios of timing from initial disposal of the cut roses until waste treatment (3, 7, 14 and 28 days) were considered. The estimated median number of adults escaping per year from imported cut roses in all the climatically suitable NUTS2 regions of the EU varied from 49,867 (90% uncertainty between 5,298 and 234,393) up to 143,689 (90% uncertainty between 21,126 and 401,458) for the 3- and 28-day scenarios. Assuming that, on average, a successful mating will happen for every 435 escaping moths, the estimated median number of T. leucotreta mated females per year from imported cut roses in all the climatically suitable NUTS2 regions of the EU would vary from 115 (90% uncertainty between 12 and 538) up to 330 (90% uncertainty between 49 and 923) for the 3- and 28-day scenarios. Due to the extreme polyphagia of T. leucotreta, host availability will not be a limiting factor for establishment. Climatic suitability assessment, using a physiologically based demographic modelling approach, identified the coastline extending from the northwest of the Iberian Peninsula through the Mediterranean as area suitable for establishment of T. leucotreta. This assessment indicates that cut roses provide a pathway for the introduction of T. leucotreta into the EU.
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- 2023
87. Sensitivity of South American tropical forests to an extreme climate anomaly
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Bennett, Amy C, Rodrigues de Sousa, Thaiane, Monteagudo-Mendoza, Abel, Esquivel-Muelbert, Adriane, Morandi, Paulo S, Coelho de Souza, Fernanda, Castro, Wendeson, Duque, Luisa Fernanda, Flores Llampazo, Gerardo, Manoel dos Santos, Rubens, Ramos, Eliana, Vilanova Torre, Emilio, Alvarez-Davila, Esteban, Baker, Timothy R, Costa, Flávia RC, Lewis, Simon L, Marimon, Beatriz S, Schietti, Juliana, Burban, Benoît, Berenguer, Erika, Araujo-Murakami, Alejandro, Restrepo Correa, Zorayda, Lopez, Wilmar, Delgado Santana, Flávia, Viscarra, Laura Jessica, Elias, Fernando, Vasquez Martinez, Rodolfo, Marimon-Junior, Ben Hur, Galbraith, David, Sullivan, Martin JP, Emilio, Thaise, Prestes, Nayane CCS, Barlow, Jos, Alencar Fagundes, Nathalle Cristine, Almeida de Oliveira, Edmar, Alvarez Loayza, Patricia, Alves, Luciana F, Aparecida Vieira, Simone, Andrade Maia, Vinícius, Aragão, Luiz EOC, Arets, Eric JMM, Arroyo, Luzmila, Bánki, Olaf, Baraloto, Christopher, Barbosa Camargo, Plínio, Barroso, Jorcely, Bento da Silva, Wilder, Bonal, Damien, Borges Miranda Santos, Alisson, Brienen, Roel JW, Brown, Foster, Castilho, Carolina V, Cerruto Ribeiro, Sabina, Chama Moscoso, Victor, Chavez, Ezequiel, Comiskey, James A, Cornejo Valverde, Fernando, Dávila Cardozo, Nállarett, de Aguiar-Campos, Natália, de Oliveira Melo, Lia, del Aguila Pasquel, Jhon, Derroire, Géraldine, Disney, Mathias, do Socorro, Maria, Dourdain, Aurélie, Feldpausch, Ted R, Ferreira, Joice, Forni Martins, Valeria, Gardner, Toby, Gloor, Emanuel, Gutierrez Sibauty, Gloria, Guillen, René, Hase, Eduardo, Hérault, Bruno, Honorio Coronado, Eurídice N, Huaraca Huasco, Walter, Janovec, John P, Jimenez-Rojas, Eliana, Joly, Carlos, Kalamandeen, Michelle, Killeen, Timothy J, Lais Farrapo, Camila, Levesley, Aurora, Lizon Romano, Leon, Lopez Gonzalez, Gabriela, Maës dos Santos, Flavio Antonio, Magnusson, William E, Malhi, Yadvinder, Matias de Almeida Reis, Simone, Melgaço, Karina, Melo Cruz, Omar A, Mendoza Polo, Irina, Montañez, Tatiana, Morel, Jean Daniel, Núñez Vargas, M Percy, Oliveira de Araújo, Raimunda, Pallqui Camacho, Nadir C, Parada Gutierrez, Alexander, Pennington, Toby, and Pickavance, Georgia C
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Agricultural ,Veterinary and Food Sciences ,Climate Change Impacts and Adaptation ,Biological Sciences ,Ecology ,Environmental Sciences ,Forestry Sciences ,Climate Action ,Life on Land ,Atmospheric Sciences ,Physical Geography and Environmental Geoscience ,Environmental Science and Management - Abstract
Abstract: The tropical forest carbon sink is known to be drought sensitive, but it is unclear which forests are the most vulnerable to extreme events. Forests with hotter and drier baseline conditions may be protected by prior adaptation, or more vulnerable because they operate closer to physiological limits. Here we report that forests in drier South American climates experienced the greatest impacts of the 2015–2016 El Niño, indicating greater vulnerability to extreme temperatures and drought. The long-term, ground-measured tree-by-tree responses of 123 forest plots across tropical South America show that the biomass carbon sink ceased during the event with carbon balance becoming indistinguishable from zero (−0.02 ± 0.37 Mg C ha−1 per year). However, intact tropical South American forests overall were no more sensitive to the extreme 2015–2016 El Niño than to previous less intense events, remaining a key defence against climate change as long as they are protected.
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- 2023
88. ECOLOGICAL WORLDVIEW AMONG UNIVERSITY STAFF
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Wallhagen, Marita and Magnusson, Peter
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Sustainable development -- Surveys ,Education, Higher -- Surveys ,Environmentalists -- Surveys ,Natural resources -- Sweden -- Canada -- United Kingdom ,Environmental services industry ,Philosophy and religion - Abstract
University staff play an important role in the development of a more sustainable world. Their attitudes towards pro-environmental behavior and environmental values likely have an influence on ethics, the current society and future generations. Therefore, this study aims to measure and interpret the ecological world-view among university staff using the validated New Environmental Paradigm (NEP) survey. The mean NEP-score was 3.68. This overall value is of the same magnitude as many samples from diverse geographical areas with representatives and students, but it is considerably lower than for environmentalists. The facet Balance of nature reported the highest score whereas Limits to growth the lowest score. Women had higher mean score, mainly explained by the higher score in the facet Human domination over nature. There is a potential for improving the ecological world-view scores of University staff, who are an unstudied and important group. Values in higher education may influence sustainable development, environmental ethics and society., 1. INTRODUCTION There is an increased awareness of the fast and vast environmental changes that face human living conditions. Human action and interaction in a more pro-environmental direction is needed [...]
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- 2024
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89. Academic Supervision and Student Independence
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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90. Scaffolding Tools for Student Independence
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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91. Concluding Findings and Reflections
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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92. The Supervisor as Assessor
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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93. The Supervisor-Student Relationship
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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94. Emotional Dimensions of Supervision
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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95. Starting Points and Theoretical Perspectives
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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96. Introduction
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Zackariasson, Maria, Magnusson, Jenny, Zackariasson, Maria, and Magnusson, Jenny
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- 2024
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97. Adaption of a trigger tool to identify harmful incidents, no harm incidents, and near misses in prehospital emergency care of children
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Packendorff, Niclas, Magnusson, Carl, Axelsson, Christer, and Hagiwara, Magnus Andersson
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- 2024
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98. Shared genetic factors between osteoarthritis and cardiovascular disease may underlie common etiology
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Magnusson, Karin, Turkiewicz, Aleksandra, Dell’Isola, Andrea, and Englund, Martin
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- 2024
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99. Changes in the prevalence of intellectual disability among 10-year-old children in Sweden during 2011 through 2021: a total population study
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Morinaga, Maki, Ahlqvist, Viktor H., Lundberg, Michael, Hollander, Anna-Clara, Rai, Dheeraj, and Magnusson, Cecilia
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- 2024
- Full Text
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100. Suicidal ideation and thoughts of self-harm during the COVID-19 pandemic among Swedish employees: a cohort study on the role of job instability and job insecurity
- Author
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Blomqvist, Sandra, Westerlund, Hugo, and Hanson, Linda L. Magnusson
- Published
- 2024
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