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Associations of maternal diabetes during pregnancy with overweight in the offspring - results from t

Associations of maternal diabetes during pregnancy with overweight in the offspring – Results from the prospective TEDDY study Associations of maternal diabetes during pregnancy with overweight in the offspring – Results from the prospective TEDDY study MRS. Anitha Pitchika1, Kendra Vehik2, Sandra Hummel1, Jill M. Norris3, Ulla M. Uusitalo2, Jimin Yang2, Suvi M. Virtanen4, Sibylle Koletzko5, Carin

https://www.teddy.lu.se/sites/teddy.lu.se/files/associations_of_maternal_diabetes_during_pregnancy_with_overweight_in_the_offspring_-_results_from_the_prospective_teddy_study.pdf - 2026-06-28

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Today's test methods used for verifying the performance and robustness of automotive applications using wireless communication are often based on fieldtrails, which are time consuming, costly, and not repeatable. Therefore, there is an urgent need for new verification methods that can be performed in lab environment, where the realistic radio propagation environment can be emulated. The telecom in

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In sociology, new institutionalists led the revival in interest in institutions in organizational theory and economic sociology by shifting the focus of causal reasoning from agent-centric studies of economic and organizational actors to the relationship connecting the firm with its institutional environment. We suggest a multilevel causal model incorporating the connection between the subinstitut

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As custom architectures become more and more common for DSP applications, instruction selection and scheduling for such applications and architectures become important topics. In this paper, we explore the effects of defining the problem of finding an optimal instruction selection and scheduling as a constraint satisfaction problem (CSP). We incorporate methods based on sub-graph isomorphism and g

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Video content constitutes a large share of residential Internet traffic. The major source of video content as of today is YouTube. In this paper, we analyse the user demand patterns for YouTube in two metropolitan access networks with more than 1 million requests over three consecutive weeks in the first network and more than 600,000 requests over four consecutive weeks in the second network. In p

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This paper presents an exploration framework which performs data assignment and access scheduling exploration for applications given a multilayer memory architecture. Our framework uses multiobjective criteria during exploration, such as application execution time, energy, bandwidth, and data size. In order to tackle the complexity of the exploration, it is divided into three phases; Pareto diagra

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This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the unc

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Background In a competitive market place a competing company has to focus on continuous improvements and effectiveness, something that can be achieved by investing in product resources which then generates a need of capital. The need of capital can be financed through direct financing or external financing such as leasing where the leasing company offers the customer capital support. Since 1999, A

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This article considers state estimation of rigid-body dynamics where the positions q are available to measurement but where the angular velocities ̇or accelerations are not available to measurement. Using a stability-oriented approach to model-based design of state estimation for Euler–Lagrange systems and rigid-body dynamics, state estimation based on position measurement is shown to guarantee se

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Indoor sensing is challenging because of the multi-bounce effect, spherical wavefront, and spatial nonstationarity (SNS) of the near-field effect. This paper addresses radio-based environment sensing considering these issues. Specifically, graph theory (GT) is used to model the multi-bounce propagation of the near field. In this manner, indoor reflectors/scatterers are modeled as vertices in a pro

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Perceiving and understanding human motion is a fundamental problem in computer vision, with diverse applications encompassing sports analytics, healthcare monitoring, entertainment, and intelligent interactive systems. Multi-camera systems, by capturing multiple viewpoints simultaneously, enable robust tracking and reconstruction of human poses in 3D, overcoming limitations of single-view approach

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In Chapter 11, Oksana Mont and Yuliya Voytenko Palgan examine the relationship between the sharing economy and the concept of sufficiency. The chapter highlights how shared access to goods and services can change consumption patterns, maximising resource use and reducing the need for new production. This can decrease resource extraction and reduce greenhouse gas emissions. The authors discuss how

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This paper presents the design and comparison of an active Gm-C and a passive baseband filter for 6G applications. Both presented circuits are 5th-order differential low-pass filters with 3-dB cut-off frequencies of 4.9 and 4.7 GHz, respectively, implemented in a 22 nm FD-SOI CMOS technology. The active filter uses back-gate tuning to optimize the transfer function, and achieves a measured in-band

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A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination with low-complexity peeling decoding was introduced and analyzed by Karimi et al.. In this work, we propose a variant of this scheme based on low-density parity-check codes where the BCH codes at the constraint nodes are replaced by simple single parity-check codes. Furthermore, we apply spatial co

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Lines and points are complementary local features, whose combination has proven effective for applications such as SLAM and Structure-from-Motion. The backbone of these pipelines are the local feature matchers, establishing correspondences across images. Traditionally, point and line matching have been treated as independent tasks. Recently, GlueStick proposed a GNN-based network that simultane-ou