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Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets

The availability of high-quality datasets is crucial for developing behavior prediction algorithms in autonomous vehicles. This paper highlights the need to standardize the use of certain datasets for motion forecasting research to simplify comparative analysis and proposes a set of tools and practices to achieve this. Drawing on extensive experience and a comprehensive review of current literatur

Ultrafast dynamics in QD based photoelectrochemical cells

We have prepared electrodes for photo-electro-chemical cells which have enabled to pre-charge colloidal quantum dots in well-controlled fashion. Femtosecond transient absorption measurements were carried out revealing clear speed-up of the photo-induced charge carrier dynamics, particularly the recombination. Such studies allow to understand the behavior of light harvesting materials in operationa

Experiences of the urban green local environment as a factor for well-being among adults : An exploratory qualitative study in southern Sweden

The amount and quality of greenness in the local outdoor environment has repeatedly been linked to human well-being. Different types of green areas are likely required in order to meet the various needs of people throughout the course of their lives and with regard to individual social and economic living conditions. The aim of the present study was to increase the understanding of different pathw

A prescription for “nature” – The potential of using virtual nature in therapeutics

Many studies suggest that increased exposure to urban greenness is associated with better population health. Accessing nature can in some circumstances, however, be difficult, especially for individuals with mobility constraints. Therefore, a growing body of work is investigating the ways to replace the in vivo experience with forms of “virtual” contact, in order to provide these individuals with

Skin-replaceable antifouling cellulose ceramic membranes from jute agro-waste for sustainable and efficient oily wastewater treatment

Oily wastewater presents a serious environmental challenge, demanding sustainable and regenerative membrane technologies. Here, we report a green and scalable method for fabricating skin-replaceable cellulose membranes (SRC-M) from jute agro-waste, using a NaOH/urea activation route and argon-pressurized deposition onto ceramic supports. The resulting Cellulose II-based asymmetric membranes exhibi

Uncovering Exotic Topological Quantum States in Pure and Magnetically-Doped Pyrite OsS2

Discovering topological quantum materials that combine nontrivial topology with large bandgaps and experimentally accessible signatures remains a central pursuit in condensed matter physics. We demonstrate, through first-principles calculations and tight-binding modeling, that pyrite-type osmium disulfide (OsS2) is a fragile topological insulator (FTI) characterized by an exceptionally large direc

What do we know about software analytics research? : A critical review of secondary studies

Software analytics (SA) is often proposed as a tool to support software engineering (SE) tasks. Several secondary studies on SA have been published, some published within the same calendar year. This presents an opportunity to take a meta-perspective and examine how the field of SA has been conceptualized and synthesized so far. By analyzing how SA is defined, which topics are emphasized, what sea

Vanessa smith

Climate Change- Introduction Lund University International Master´s Programme in Environmental Studies and Sustainable Science DROUGHT MANAGEMENT IN CATALONIA A case study in Riudecanyes and its water basin towards reducing vulnerability to water stress Supervised by: Johanna Alkan Olsson Researcher Lund University Centre for Sustainability Studies +46 (0)46 222 04 20 johanna.alkan_olsson@lucsus.l

https://www.lumes.lu.se/sites/lumes.lu.se/files/vanessa_smith.pdf - 2026-05-30

Compressed Sensing for Reconstructing Coherent Multidimensional Spectra

We apply two sparse reconstruction techniques, the least absolute shrinkage and selection operator (LASSO) and the sparse exponential mode analysis (SEMA), to two-dimensional (2D) spectroscopy. The algorithms are first tested on model data, showing that both are able to reconstruct the spectra using only a fraction of the data required by the traditional Fourier-based estimator. Through the analys

HERFD-XANES probes of electronic structures of ironII/IIIcarbene complexes

Iron centeredN-heterocyclic carbene (Fe-NHC) complexes have shown long-lived excited states with charge transfer character useful for light harvesting applications. Understanding the nature of the metal-ligand bond is of fundamental importance to rationally tailor the properties of transition metal complexes. The high-energy-resolution fluorescence detected X-ray absorption near edge structure (HE

Magnetic Resonance Spectroscopic Methods for the Assessment of Metabolic Functions in the Diseased Brain.

Magnetic resonance spectroscopy (MRS) is a non-invasive technique that can be used to detect and quantify multiple metabolites. This chapter will review some of the applications of MRS to the study of brain functions. Typically, (1)H-MRS can detect metabolites reflecting neuronal density and integrity, markers of energy metabolism or inflammation, as well as neurotransmitters. The complexity of th

Bättre tillsammans : – en modell för stöd i livet utanför vården

I artikeln presenterar forskarna Tillsammans-projektet, som syftar till att förbättra socialt stöd genom samverkan mellan civilsamhället och vården. Projektet bygger på community connector-modellen, där en samhällskontakt agerar som mellanhand för att koppla patienter till stöttande resurser. Modellen, som utvecklats genom workshops, strävar efter att skapa ett mer omfattande stöd utanför vården, I artikeln presenterar forskarna Tillsammans-projektet, som syftar till att förbättra socialt stöd genom samverkan mellan civilsamhället och vården. Projektet bygger på community connector-modellen, där en samhällskontakt agerar som mellanhand för att koppla patienter till stöttande resurser. Modellen, som utvecklats genom samskapande workshops, strävar efter att skapa ett mer omfattande stöd utan

Optimization-Based Path-Velocity Control for Time-Optimal Path Tracking under Uncertainties

This paper addresses the path-tracking problem of time-optimal trajectories under model uncertainties, by proposing a real-time predictive scaling algorithm. The algorithm is formulated as a convex optimization problem, designed to balance the trade-off between improving feasibility and time optimality of a trajectory. The predicted trajectory is scaled based on the presence of path segments that

Nature of Temperature-Induced Phase Transitions in Secondary Organic Aerosol Particles

This study investigates how changes in temperature affect the secondary organic aerosol (SOA) phase state. SOA was formed by α-pinene ozonolysis in an atmospheric simulation chamber at temperatures (T0) in the range of 257–283 K at RH0< 20%. After more than 14 h of SOA aging, one or more heating and cooling ramps were performed. Upon heating, we observe that the onset of evaporative SOA shrinkage

Apalutamide in Patients with High Burden of Metastatic Hormone-sensitive Prostate Cancer : A Subgroup Analysis of TITAN

BACKGROUND AND OBJECTIVE: A post hoc analysis of TITAN evaluated the clinical benefit of apalutamide plus androgen-deprivation therapy (ADT) versus ADT alone in metastatic hormone-sensitive prostate cancer (mHSPC) with high disease burden. METHODS: Patients were assessed in subgroups of those with four to fewer than ten, ten to <20, or ≥20 bone metastases; with lung but not liver metastases; and w