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Deep learning based individual identification and population estimation of the yellow spotted mountain newt (Neurergus derjugini)
Electrochemically Initiated Depolymerization of Poly(Methyl Methacrylate)
High-resolution in situ imaging reveals size-specific moonlight responses in zooplankton diel vertical migration
Abstract Light is the primary cue driving zooplankton diel vertical migration (DVM), a strategy that balances predation risk with resource access. However, DVM is often oversimplified, with limited consideration of how light-driven risks and resource needs vary across taxa and life stages. This simplification is partly due to constraints on collecting high-resolution, size-resolved data —especially at night, when subtle shifts in illumination reshape nocturnal risk landscapes. To overcome these limitations, we deployed a high-resolution in situ modular Deep-focus Plankton Imager and an image-recognition approach to quantify fine scale DVM and body sizes of Cladocerans and Copepods in Lake Stechlin, Germany. Data was collected from day into night and across moonrise and was compared with environmental data from vertical profiling sondes. Typical DVM patterns emerged, with deeper daytime distributions, however, moonlight introduced additional behavioural complexity: larger individuals avoided illuminated layers, likely managing predation risk, while smaller individuals moved into these layers, possibly exploiting foraging opportunities and reduced risk. These light-mediated shifts were further shaped by ecological conditions; copepods tracked food-rich layers regardless of light levels at night, while cladocerans showed light-dependent responses to both temperature and food, such that light caused them to avoid otherwise favourable (warm, food-rich) layers. Our approach provides new insight into how zooplankton navigate nocturnal lightscapes, revealing size- and taxon-specific strategies. By establishing size-dependent responses to natural moonlight, this work provides a crucial baseline for predicting how artificial light at night may restructure zooplankton communities and destabilize freshwater food webs.
O <sub>2</sub> -Mediated Synergistic Oxidation of NO and SO <sub>2</sub> on Carbonate Surfaces
The morpho-kinetic landscape of macrophage modes during wound healing in zebrafish
Selective Chemical Looping Combustion of Terminal Alkynes in Mixtures with Alkenes
Dysfunctional connectivity within hippocampal and entorhinal networks underlies early-life iron deficiency induced social recognition deficits, a preliminary study
High-Throughput Characterization of Individual Microdroplets Unveils Ultrasound-Enhanced Radical Production
Integrated preharvest salicylic acid maleic hydrazide and postharvest 1 MCP delay softening and preserve strawberry quality during cold storage
Iridium-Catalyzed B–H/C–H Dehydrogenative Coupling to Enable Boron–Nitrogen-Embedded Polycyclic Aromatic Hydrocarbons
Modeling the mechanical properties of lightweight high-strength concrete incorporating supplementary cementitious materials using multi-expression programming and random forest
A step towards building miniature human livers
A Self-Healing Platinum Catalyst for Methanol Oxidation Reaction
CDS-PD: a novel clinical decision support platform for Parkinson’s disease
Abstract The Movement Disorders Society clinical diagnostic criteria for Parkinson’s disease (MDS-PD) allow highly sensitive and specific diagnosis of Parkinson’s disease. However, their adoption has been limited due to lack of a clinical decision support (CDS) tool to support clinicians and researchers in systematically and accurately applying the MDS-PD criteria. We have developed and performed preliminary validation of a CDS platform for PD (CDS-PD) as a modular and extensible informatics platform with comprehensive functionalities for recording relevant patient information. We have performed real-time application of diagnostic algorithm of the MDS-PD criteria. The CDS-PD platform shows high concordance with application of the MDS-PD criteria by experienced movement disorders neurologists for established PD (disease duration ≥ 5 years). The CDS-PD platform is a step towards realizing the standardized electronic implementation of the MDS-PD criteria for PD patient care and clinical trials at point-of-care. The CDS-PD platform can be accessed after registration at weblink https://www.cdspd.org .