L-DOPA-induced dyskinesia (LID) is the most common form of hyperkinetic movement disorder resulting from altered information processing in the cortico-basal ganglia network. We here review recent advances clarifying the altered interplay between striatal output pathways in this movement disorder. We also review studies revealing structural and synaptic changes to the striatal microcircuitry and al

When we speak, we typically also gesture. Gestures are an integral part of language use in both production and comprehension. They are therefore also vital in second language (L2), foreign language (FL), and bilingualism studies since they can open new windows on cognitive processes, interaction practices, and learning. This entry discusses methods and tools for studying second language users' and

Many insects depend on high-altitude, migratory movements during part of their life cycle. The daily timing of these migratory movements is not random, e.g. many insect species show peak migratory flight activity at dawn, noon or dusk. These insects provide essential ecosystem services such as pollination but also contribute to crop damage. Quantifying the diel timing of their migratory flight and

The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of access points (APs) where user equipments (UEs) are served in each set, termed a federation, without inter-federation interference. The combination of federations

System logs are crucial for understanding the state and health of systems, yet manual inspection becomes impractical due to the high volume of messages. Consequently, machine learning-based log anomaly detection has emerged to automatically identify irregularities. This study investigates the effectiveness of log message embeddings, a novel parsing method, for anomaly detection in complex systems.

Dm STYR 2021/1211 LUNDS U N !VERS ITET 202[-05-12 Institutionen för psykologi Ledningsgruppen för fristående kurser Närvaran Simon Graner Studierektor, ordförande de Bertil Persson Personlighets- o utvecklingspsykologi ledamöter Geoffrey Patching Översiktskurs och kandidatkurs Fredrik Björklund Social psykologi Roger Persson Arbets- o organisationspsykologi Roger Johansson Examensuppsats Ines Brar

https://www.psy.lu.se/sites/psy.lu.se/files/2021-05/FK_protokoll_2103.pdf - 2025-05-17

Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litteraturlistan är fastställd av Styrelsen vid institutionen för psykologi 2014- 11-03 att gälla från och med 2014-11-04 Litteratur Delkurs 1. Utveckling fram till tonåren (7,5 högskolepoäng) Berk, Laura E. (2012). Infants, Children, and Adolescents, 7 th Ed. Bo

https://www.psy.lu.se/sites/psy.lu.se/files/psyd61_litteratur_14467_h14.pdf - 2025-05-17

Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litteraturlistan är fastställd av Styrelsen vid institutionen för psykologi 2014- 08-15 att gälla från och med 2014-09-01 Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litt

https://www.psy.lu.se/sites/psy.lu.se/files/psyd61_litteraturfasth14.pdf - 2025-05-17

Accelerated biodiversity loss has destabilized functional links within and between ecosystems. Species that cross different ecosystems during migration between breeding and nonbreeding sites are particularly sensitive to global change because they are exposed to various, often ecosystem-specific, threats. Because these threats have lethal and nonlethal effects on populations, many migratory specie

BACKGROUND: The degree to which avian migrants revisit the same sites to replicate routes from previous years has received more and more attention as the possibilities of tracking small to medium-size birds over multiple annual cycles have improved. Repeated measurements of individuals with an appropriate sampling resolution can potentially inform about their navigation and migration strategies an

Research connecting text and images has recently seen several breakthroughs, with models like CLIP, DALL•E 2, and Stable Diffusion. However, the connection between text and other visual modalities, such as lidar data, has received less attention, prohibited by the lack of text-lidar datasets. In this work, we propose LidarCLIP, a mapping from automotive point clouds to a pre-existing CLIP embeddin

With the emergence of autonomous vehicles comes requirements on adequate and rigorous testing techniques, particularly as systems continuously adapt to changing environments. Scenario-based, simulated testing is one approach that has received attention, where deriving relevant scenarios from various sources is still a challenge. We therefore explore creating executable test scenarios from textual

Testing of autonomous driving systems (ADS) is a crucial, yet complex task that requires different approaches to ensure the safety and reliability of the system in various driving scenarios. Currently, there is a lack of understanding of the industry practices for testing such systems, and also the related challenges. To this end, we conduct a secondary analysis of our previous exploratory study,

We describe and demonstrate our work on multimodal filtered vector search in tabular data. It offers a practical way for businesses to vectorize their product assortments or any other business-critical data and then simultaneously retrieve and filter this information using state-of-the-art similarity search. Our methodology is based on the extended vector space model, with multiple modalities repr

Frequent language exposure and use are among the most important conditions for successful language learning whether in classrooms, during study abroad, or in other informal contexts. Research probing exposure and usage often relies on one-off self-report questionnaires in which participants estimate their typical level of language exposure over extended periods of time, often long after it occurre

Autonomous driving has become an important research area for road traffic, whereas testing of autonomous driving systems to ensure a safe and reliable operation remains an open challenge. Substantial real-world testing or massive driving data collection does not scale since the potential test scenarios in real-world traffic are infinite, and covering large shares of them in the test is impractical

It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distibution detector. A small-scale study is conducted which shows that adapting camera parameters according to this out-of-distibution detector leads to an average increase of 3 to 4% poin