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Your search for "what do you do on the dark web 【Visit Sig8.com】9ZP42K8.5R9I" yielded 102646 hits

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There are many ways to acquire and process diffusion MRI (dMRI) data for group studies, but it is unknown which maximizes the sensitivity to white matter (WM) pathology. Inspired by this question, we analyzed data acquired for diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) at 3T (3T-DTI and 3T-DKI) and DTI at 7T in patients with systemic lupus erythematosus (SLE) and healthy c

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The Storage Location Assignment Problem (SLAP) has a significant impact on the efficiency of warehouse operations. We propose a multi-phase optimizer for the SLAP, where the quality of an assignment is based on distance estimates of future-forecasted order-picking. Candidate assignments are first sampled using a Markov Chain accept/reject method. Order-picking Traveling Salesman Problems (TSPs) ar

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Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexib

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Massive multiple-input multiple-output (MIMO) technology will continue playing an important role in beyond 5G wireless systems. Fully digital beamforming at the millimeter wave (mmWave) spectrum enables applications that require high data rates and low latency. This paper investigates the development and deployment of mmWave massive MIMO systems in an in-flight cabin environment, from both system

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The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing the SLAP such that it is not tied to certain order-picking methodologies, constraints, or warehouse layouts. We propose the OBP-based SLAP, where the quality of a location assignment is obtained by optimizing an Order Batching Problem (OBP). For the

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Nanowires offer unprecedented flexibility as nanoscale building blocks for future optoelectronic devices, especially with respect to nanowire solar cells and light-emitting diodes. A relatively new concept is that of charge carrier diffusion-induced light-emitting diodes, for which nanowires offer an interesting architecture by use of particle-assisted core-branch growth. The branches should be hoNanowires offer unprecedented flexibility as nanoscale building blocks for future optoelectronic devices, especially with respect to nanowire solar cells and light-emitting diodes. A relatively new concept is that of charge carrier diffusion-induced light-emitting diodes, for which nanowires offer an interesting architecture by use of particle-assisted core-branch growth. The branches should be ho

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High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr

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High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The

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Most work implies the use of digital systems and tools, thus, digital technology plays a vital role in modern work environments. Even so, ergonomics and usability of IT systems and digital tools used at work are often weak, which causes work-related health problems including physical, visual, cognitive, and stress-related issues. We pose that one important reason for these types of issues is the l

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In healthcare, data privacy of patients regulations prohibits data from being moved outside the hospital, preventing international medical datasets from being centralized for AI training. Federated learning (FL) is a data privacy-focused method that trains a global model by aggregating local models from hospitals. Existing FL techniques adopt a central server-based network topology, where the serv

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The landscape of healthcare is experiencing a digitalization shift, transferring many medical activities to the patients’ homes, a phenomenon commonly referred to as Hospital-at-Home. While Internet of Things (IoT) devices facilitate the building of such systems, there is a need for powerful middleware that encapsulates device-to-device communication, and enables the construction of user-friendly,

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Following the record company Blue Note’s publicity campaign for jazz pianist Thelonious Monk in 1948, the image of Monk commonly presented in Swedish as well as American media was one of an eccentric, mysterious, even weird musician, sometimes viewed as a genius. This article presents and discusses the development of the Swedish media image of Monk during the period 1948–63, from the first mention

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This paper evaluates the history and cycling accessibility of Nova, a shopping centre established in Lund, Sweden, in 2002. The current situation was also analysed through observation and a literature review. Moreover, the study conducted a closer analysis of the history and role of the municipality based on further literature study and interviews with officials. The conclusion of the analysis ind

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The purpose of the present chapter is to outline the principles of experimental phenomenology as an approach to research on spirituality. Experimental phenomenology is the investigation of phenomenological practices and their impact. Essential to phenomenological practices is that they involve intentional variations of experiencing by means of changes in the direction of attention and the choice o

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Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned manually, the current, faster transition times call for robust, modular and interpretable solutions that also allow a robotic system to learn how to perform a task. We propose the method Behavior-based Bayesian Optimizatio

Tobias Karlsson

Director of first and second cycle studies, Department of Economic History, Senior lecturer Contact details Email: tobias [dot] karlsson [at] ekh [dot] lu [dot] se Phone: +46 46 222 08 37 Mobile: +46 73 276 58 47Organisation Department of Economic History Visiting address: Scheelevägen 15 B, Room number: Alfa 1:2088 Service point: 10 WebpageTobias Karlssons profile in Lund University research port

https://www.lusem.lu.se/tobias-karlsson - 2026-07-14

Lunds universitets högskolepedagogiska utvecklingskonferens (LUTL)

24 november 2026 09:00 till 17:00 | Konferens Välkomna till årets pedagogiska utvecklingskonferens: Lund University Conference on Teaching and Learning (LUTL). Konferensen anordnas av fakulteterna och avdelningen för högskolepedagogisk utveckling (AHU). I år är Ekonomihögskolan vid Lunds universitet värd och inbjuder härmed undervisande personal samt studenter att inkomma med bidrag till konferens

https://www.intramed.lu.se/evenemang/lunds-universitets-hogskolepedagogiska-utvecklingskonferens-lutl - 2026-07-14

Lunds universitets högskolepedagogiska utvecklingskonferens (LUTL)

24 november 2026 09:00 till 17:00 | Konferens Välkomna till årets pedagogiska utvecklingskonferens: Lund University Conference on Teaching and Learning (LUTL). Konferensen anordnas av fakulteterna och avdelningen för högskolepedagogisk utveckling (AHU). I år är Ekonomihögskolan vid Lunds universitet värd och inbjuder härmed undervisande personal samt studenter att inkomma med bidrag till konferens

https://www.lu.se/evenemang/lunds-universitets-hogskolepedagogiska-utvecklingskonferens-lutl - 2026-07-14

Lunds universitets högskolepedagogiska utvecklingskonferens (LUTL)

24 november 2026 09:00 till 17:00 | Konferens Välkomna till årets pedagogiska utvecklingskonferens: Lund University Conference on Teaching and Learning (LUTL). Konferensen anordnas av fakulteterna och avdelningen för högskolepedagogisk utveckling (AHU). I år är Ekonomihögskolan vid Lunds universitet värd och inbjuder härmed undervisande personal samt studenter att inkomma med bidrag till konferens

https://www.medarbetarwebben.lu.se/evenemang/lunds-universitets-hogskolepedagogiska-utvecklingskonferens-lutl - 2026-07-14