Bielefeld University

Decoding the autotetraploid origin of the stress-tolerant wild beet Beta corolliflora

Abstract Background Most crop plants, including sugar beet ( Beta vulgaris subsp. vulgaris ), suffer from domestication bottlenecks and low genetic diversity caused by extensive selection for few traits. However, crop wild relatives (CWRs) harbour useful traits relevant for crop...

Variational inequalities and smooth-fit principle for singular stochastic control problems in Hilbert spaces

We consider a class of infinite-dimensional singular stochastic control problems. These can be thought of as spatial monotone follower problems and find applications in spatial models of production and climate transition. Let (D,M,μ) be a finite measure space and consider the Hil...

Magnetocaloric Properties of Centered Molecular Quantum Spin Systems

We investigate the magnetocaloric properties of a class of centered magnetic molecules that are very similar in their magnetic properties. In particular, we study the magnetocaloric response of these molecules in the space of two exchange parameters and as function of the spin qu...

Structural validity and measurement invariance of the WHO-5 Well-Being Index among young adolescents in a family-focused prevention context in Southeastern Europe

Abstract Background The World Health Organization Five Well-Being Index (WHO-5) is a widely used, open-access measure of subjective well-being. However, evidence on its psychometric properties among young adolescents participating in preventive interventions in low- and middle-in...

La escuela como ingeniería social progresista: Análisis narratológico de la literatura de las derechas emergentes en América Latina

Resumen Este artículo trata sobre recientes textos de las derechas emergentes en América Latina mediante el uso de narratología posclásica (Herman y Vervaeck 2019) y la teoría de mundos posibles (Torres Perdigón 2018). Se abordan diez obras producidas entre 2016 y 2026 de Argenti...

Deterrence or prevention? The challenges of algorithmic crime prediction in urban spaces

Predictive policing emerged as a promise to prevent crime before it occurs. Despite the waning hype, predictive policing remains an active practice, especially in urban contexts. Drawing on ethnographic research on a predictive policing system of a German state police force, this...

Divided Dieudonné crystals

Abstract We define a category of divided Dieudonné crystals which classifies 𝑝-divisible groups over schemes in characteristic 𝑝 with certain finiteness conditions, including all 𝐹-finite noetherian schemes. For formally smooth schemes or locally complete intersections, this gene...

Citations of sport management publications: the role of authorship demographics and prestige

Scharfenkamp K, Lesch L, Wicker P. Citations of sport management publications: The role of authorship demographics and prestige. European Sport Management Quarterly. In Press.

Psychotherapy remission prediction models show limited cross-clinic generalizability in routine outpatient care

Abstract Clinical prediction models for psychotherapy outcomes have the potential to assist therapists in planning a patient’s individual treatment, but their clinical utility depends on maintaining predictive performance across settings. We assessed prediction of post-treatment...

Residential relocations, well-being and mover characteristics in Sweden: divergences between distances and ethnicity

Residential relocation is a life course event that most people undergo several times in their life course. Nevertheless, how overall well-being changes as a consequence thereof is rarely assessed. Moreover, relocation is often taken as a one-size-fits-all life event. This study e...

Components of Psychosocial Treatments for Perinatal Mental Health Problems in Conflict and Post-Conflict Settings: A Scoping Review

Perinatal mental health problems (PMHP) are a critical public health concern, profoundly affecting mothers and their infants by impairing maternal well-being and mother-infant bonding. The burden is especially high in conflict-affected settings, where trauma, violence, and ongoin...

ImaGGen: Zero-Shot Generation of Co-Speech Semantic Gestures Grounded in Language and Image Input

Human communication combines speech with expressive nonverbal cues such as hand gestures that serve manifold communicative functions. Yet, current generative AI-based gesture generation approaches are, for the most part, restricted to simple, repetitive beat gestures that accompa...

Percentile-Based Normative Standards for Strength Assessment Beyond Linear Bodyweight Multipliers in Competitive Powerlifters

Abstract Background Bodyweight multipliers (BM = L/M, where L denotes the absolute load lifted in kilograms and M the athlete's recorded body mass) represent the dominant benchmarking heuristic in strength and conditioning. However, because relative strength declines non-linearly...

Rules for Using AI with Research Data: Lessons Learned at the FDZ Bildung

The presentation held at the Workshop “AI for Handling (Sensitive) Data in Research Data Centre Contexts: Risks, Mitigation, Training Requirements” on September 14th at GESIS in Cologne. Included are also drafts of the AI Policy in German and ENglish. The English version was tran...

Multi-Methodological Characterization of Sleep Deprivation: From Standard EEG Power Spectra to Aperiodic Dynamics in Humans and Mice.

Sleep deprivation is a potent, rapid-acting therapeutic intervention for major depressive disorder, yet its underlying neural mechanisms remain poorly understood, hindering the development of predictive biomarkers. Here, we systematically characterize the electro-physiological si...

The integration of social determinants of health in antenatal care policies in Brazil: a content analysis of five federal documents

Background Inequities shaped by the Social Determinants of Health (SDH) and intersecting forms of discrimination such as race, age, and socioeconomic status critically influence access to and quality of antenatal care (ANC), a key intervention for preventing maternal mortality. B...

Post-traumatic stress disorder following intensive care for COVID-19: a single-center retrospective follow-up study

Abstract Background Severe COVID-19 frequently required prolonged intensive care, including mechanical ventilation or extracorporeal membrane oxygenation (ECMO). Survivors of such critical illness may develop post-traumatic stress disorder (PTSD). Methods We conducted a single-ce...

OPTICAT: A Deep Reinforcement Learning Framework for Instance-Specific Algorithm Configuration

Optimization algorithms contain parameters that greatly influence their behavior. Finding the right settings for parameters through automated algorithm configuration has become a critical component of designing competitive algorithms. While traditional offline configurators tackl...

Existence and Uniqueness Results for a Mean-Field Game of Optimal Investment

Abstract We establish the existence and uniqueness of the equilibrium for a stochastic mean-field game of optimal investment. The analysis covers both finite and infinite time horizons, and the mean-field interaction of the representative company with a mass of identical and indi...

Walking in circles: Linking high- and low-level parameter scaling of visually guided and spontaneous turning behaviour

The ability to change one's current heading, i.e. to turn, is essential for all walking animals. While several studies have addressed how leg movement or inter-leg coordination may change during turning, relatively little is known about how turning-related changes at the level of...