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Procedures for the production of syntheses, reports, policy briefs and science briefs at the CEC 1. Contact the synthesis manager at CEC, Markku Rummukainen, for green light If you wish to produce and publish syntheses, reports, or policy briefs/science briefs, contact Markku Rummukainen, the person responsible for this at CEC. The following needs to be clarified: Purpose and target group Fund
Programme syllabus Bachelor of Science Programme in Development Studies Faculty of Social Sciences SGUTV, Bachelor of Science Programme in Development Studies, 180 credits Kandidatprogram i utvecklingsstudier, 180 högskolepoäng First cycle degree programme not requiring previous university study / Program utan akademiska förkunskapskrav och med slutlig examen på grundnivå Decision The programme sy
https://www.keg.lu.se/en/sites/keg.lu.se.en/files/2024-01/SGUTV-programme-syllabus-2020%20(1).pdf - 2026-05-22
ODEUM LUNDS UNIVERSITETS MUSIKCENTRUM PROGRAM VT 2024 Välkomna till Odeum! Denna vår har vi inget övergripande tema för våra evenemang utan bjuder i stället på ett brett spektrum av kör- och orkesterkonserter, gästspel, lunchkonserter och samtal om musik. I mitten av februari kan den kärlekskranke gå på Valentinkonsert då Lunds akademiska kör gör ett gästspel på Skissernas museum. Hjärtevärmande m
https://www.odeum.lu.se/sites/odeum.lu.se/files/2024-02/ODEUM_Program_VT_2024.pdf - 2026-05-22
LL_KSME22_161221 Litteraturlista för Hospitality Management: Värdskap och personal, 15 hp (KSME22) Litteraturlistan är fastställd av styrelsen för institutionen för service management och tjänstevetenskap 2016-12-21. Kompletterad med litteratur om arbetsrätt 170102. Litteraturlistan gäller fr o m 2017-01-16. Eksell, Jörgen. (2013). Värdeskapande gästfrihet: hur gästfrihet som värde ramas in, etabl
https://www.ses.lu.se/sites/ses.lu.se/files/ll_ksme22_161221_0.pdf - 2026-05-22
Childhood stunting is a serious global public health issue that exhibits local spatial variations. Previous studies have used traditional statistical methods to identify stunting risk factors, and little is known about the application and usefulness of spatial machine learning techniques in identifying localized stunting risk factors based on complex datasets. This study assesses the performance o
Environmental changes over time and across different regions profoundly affect agriculture, forestry, water management, public health, and ecosystems. Therefore, monitoring these fluctuations is crucial for informing decision-making and developing strategies for long-term sustainability. While ground-based methods provide valuable insights into environmental dynamics, they are inherently limited i
Elisabeth Melander - SångHåkan Rydin - PianoLars Danielsson - BasTerje Sundby - Trummor & slagverkGöran Klinghagen - GitarrAnders Bergcrantz - TrumpetInge Petersson - Tenorsax"En av Sveriges stora jazzröster är tillbaka tillsammans med några av landets främsta musiker. En själfull röst, värme och känsla präglar mixen av egna kompositioner och spännande tolkningar av såväl Chick Corea, Miles Da
Accurate prediction of spatial yield variations within individual fields is crucial for precision agriculture, as it enables optimized resource allocation and targeted crop management. In this study, we propose a novel framework that leverages remote sensing data and Graph Attention Networks (GATv2) to predict fine-scale yield variations for winter wheat at a high resolution (10 m × 10 m). The obj
El Niño–Southern Oscillation (ENSO) events, whether in warm or cold phases, that persist for two or more consecutive years (multi-year), are relatively rare. Compared with single-year events, they create cumulative impacts and are linked to extended periods of extreme weather worldwide. Here we combine central Pacific fossil coral oxygen isotope reconstructions with a multimodel ensemble of transi
Small area childhood stunting risk estimations remain a critical tool for shaping the surveillance policies of such a public health concern. With classical statistical methods, stunting risk metrics are mainly reported at a national level, which inhibits fine-scale insights at a more localized level. To this end, we implemented a novel multilevel small area estimation (SAE) approach for effectivel
Many crucial activities in software development are linked to gaze and can potentially benefit from gaze-assisted developer tools. However, despite the maturity of eye trackers and the potential for such tools, we see very few studies of practitioners. Here, we present a systematic mapping study to examine recent developments in the field with a focus on the experimental setup of eye-tracking stud
The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, originally proposed for solving the Learning Parity with Noise (LPN) problem, performs well, especially for certain parameter settings with cryptographic importance. The BKW a
Mission-critical applications such as industrial control processes are evolving towards a new development paradigm by offloading their heavy computations to the edge of the emerging Fifth Generation Wireless Specifications (5G) network. In this manner, the applications can gain the economical and efficiency benefits of cloud computing, as well as reliable communication from the 5G network. However
The aim of the present study was to estimate the range of climate variability in Central Poland during the Eemian Interglacial (MIS 5e). High resolution pollen records are available for all seven RPAZs typical of this interglacial in Central Europe. These pollen records were used to estimate total annual precipitation and mean annual temperature, as well as the mean temperatures of the warmest and
In this paper we revisit the Time-of-Arrival self-calibration problem. In particular we focus on imbalanced problem instances where there are significantly more sources compared to the number of receivers, which is a common configuration in real applications. Using an implicit representation, we are able to re-parameterize the sensor node self-calibration problem using only the parameters of the r
This paper suggests an approach to solving the time-of-arrival self-calibration problem for imbalanced problems, where there is a low number of receivers but many senders. The idea is to solve several subproblems created by only using data relating to four receivers. The solutions are then clustered according to a proposed metric in order to remove failed reconstructions. They are then combined in
In the following study, using highly-developed remote sensing methodologies, a historical over-ten-year study of the LULC phenomenon of the Khorezm Oasis was conducted. The analysis provides valuable insights about agricultural change, water management policies and the alteration of LULC in the region, including several processes, changes in plants and irrigation levels, population density and gro
We present a novel, global 30 arc seconds (∼1 km at the equator) population projection dataset covering each year from 2010 to 2100 that is consistent with both country level population and gridded urban fractions from the Coupled Model Intercomparison Project 6 (CMIP6). While IPCC population projections until 2100 are available at country level for Socio-Economic Pathways (SSPs), land cover (incl
Simultaneous sound event localization and detection (SELD) for multi-source sound events is an open research field. The Multi-ACCDOA format is a popular way to handle activity-coupled sound events where the same class occurs at multiple locations at the same time. An important part is the Auxiliary Duplicating Permutation Invariant Training (ADPIT) paradigm that calculates the loss for order-agnos
