Filtyp
Titel: Tipping or Stiffing? - En kvalitativ studie om dricks i turistnäringen utifrån ett kundperspektiv. Nivå: Kandidatuppsats i Service Management, VT 2018. Institution: Institutionen för Service Management vid Lunds universitet, Campus Helsingborg. Författare: Cassandra Darwiche och Johanna Månsson. Handledare: Johan Hultman. Problemområde: Dricks är en betydande ekonomisk aktivitet som är lös
Recently, several regions in southern Sweden suffered extremely low groundwater levels following a long-term infrequency in rainfall. In response, irrigation was banned in many of the affected municipalities during 2016–2017, amongst which Mörbylånga municipality was one. Because nearly half of the nation’s drinking water is extracted from groundwater, protecting and managing this vital resource i
Date of the seminar: May 23rd, 2018 Course: ENTN39 Master’s Corporate Entrepreneurship and Innovation Internship and degree project (Master’s thesis 15 ECTS) Authors: Matilda Ljudén & Maximilian Schmidt Supervisor: Joakim Winborg Examiner: Sotaro Shibayama Keywords: Front End Innovation, Idea Generation, Creativity, Knowledge, Knowledge Management, Innovation, Social Networks, Explorative In
The anticipated climate changes are predicted to alter the precipitation patterns in Sweden. Increased episodes of intense short-duration rainfall and higher intensities of day long-duration rainfall are expected. Road sections are often a target of flooding, causing impassable roads, due to the lack of capacity of drainage systems. One of the factors determining the water flow to a depression is
Bakgrund Massage är vanligt förekommande inom idrotten. Syftet är att förebygga skador, förbättra prestationen och påskynda återhämtningen. Studier som undersökt om massage innan aktivitet (pre-performance) påverkar prestationsförmågan har visat varierande resultat. En muskelgrupp som är särskilt viktig för friidrottare/sprinters är hamstringsmuskulaturen. Denna muskelgrupp utsätts för stora belas
Despite a growing body of research on the role of the Sustainable Development Goals (SDGs) at the local level, knowledge on how they are taken up in local governance processes remains limited. This article contributes to knowledge on SDG implementation by examining how the SDGs can contribute to governance change at the local level. We develop a process-oriented analytical framework that examines
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
The advances in understanding and producing heavy and super-heavy elements is the subject of this topical collection. The main covered subjects are: the description of the theory, developments of super-heavies and the determination of the Island of Stability as well as the role of these nuclei as part of the r-process scenario. The accurate determination of reaction processes are crucial to enable
We evaluated the association between cardiopulmonary bypass (CPB) time during surgery for acute type A aortic dissection (ATAAD) and mid-term survival. Data of 1122 patients who underwent surgery for ATAAD in eight Nordic centers from January 2005 to December 2014 were retrospectively analyzed. An adjusted logistic regression analysis was performed to investigate the association of incremental 30
Logs are prevalent in modern cloud systems and serve as a valuable source of information for system maintenance. Over the years, many supervised, semi-supervised, and unsupervised log analysis methods have been proposed to detect system anomalies. In particular, semi-supervised methods have garnered increasing attention as they balance reduced labeled data requirements and optimal detection perfor
Background and aims: The relationship between uncommon phenotypes, such as metabolically healthy obesity and normal weight with metabolic syndrome (MetS), and cardiovascular disease (CVD) risk, remains unclear. We investigated how different combinations of body mass index (BMI) and MetS are associated with overall and specific CVDs and how the number of MetS components influences CVD risk in indiv
In 2009, consistent with its objective to support and develop a European research infrastructure, the European Union (EU) created a neworganizational form for research collaborations: the European Research Infrastructure Consortium (ERIC). Since then, 21 different ERICs havebeen established in the EU Member States; the largest being the European Spallation Source (ESS).The financing of this ERIC i
A search for pair production of scalar leptoquarks, each decaying into either an electron or a muon and a top quark, is presented. This is the first leptoquark search using ATLAS data to investigate top-philic cross-generational couplings that could provide explanations for recently observed anomalies in B meson decays. This analysis targets high leptoquark masses which cause the decay products of
The results of a search for direct pair production of top squarks and for dark matter in events with two opposite-charge leptons (electrons or muons), jets and missing transverse momentum are reported, using 139 fb−1 of integrated luminosity from proton-proton collisions at s = 13 TeV, collected by the ATLAS detector at the Large Hadron Collider during Run 2 (2015–2018). This search considers the
The results of a search for pair production of supersymmetric partners of the Standard Model third-generation quarks are reported. This search uses 20.1 fb(-1) of pp collisions at root s = 8 TeV collected by the ATLAS experiment at the Large Hadron Collider. The lightest bottom and top squarks ((b) over tilde (1) and (t) over tilde (1) respectively) are searched for in a final state with large mis
We introduce a new dataset, Human3.6M, of 3.6 Million 3D Human poses, acquired by recording the performance of 11 subjects, under 4 different viewpoints, for training realistic human sensing systems and for evaluating the next generation of human pose estimation models. Besides increasing the size the current state of the art datasets by several orders of magnitude, we aim to complement such datas
