We have developed a homemade neutron flux detection module with 3He tube hot-swap capability and control-rich Android software interface. Real-time data analysis is done by a smartphone with Android application interfaced with the detector via a USB cable. This setup can be used as a neutron and gamma ray background detector or as a compact, mobile 3He tubes calibration tool making it a cheap and easy-to-use alternative for the stationary setups. A fast neutron detection algorithm was implemented as a set of Java scripts and tested for real-time signal analysis. The modular structure of the device allows easy deployment and customization with further software development and regular upgrades. The current prototype was tested at the Nuclear Physics Research Institute under different neutron flux intensity conditions from the VVR-K water-cooled research reactor. Its simplicity and significantly lower cost, compared with conventional detector equipment, make it valuable for easy repetitive tasks with medium requirements for precision and neutron flux intensities.

Climate warming is affecting plant growth and CO ₂ fluxes in high‐latitude ecosystems. However, soil moisture – and how it responds to warming – can alter the shape of the relationship between temperature and both plant performance and ecosystem processes. We conducted a microcosm experiment to test the interactive effects of temperature, soil moisture, and plant species identity on plant biomass and CO ₂ fluxes. The experiment included five temperature levels (ambient to 9°C above ambient) and three soil moisture treatments, including ambient and drought conditions simulating severe drought stress predicted for future dry summers. We grew four ecologically contrasting plant species commonly found in sub‐Arctic alpine meadow under these conditions to explicitly test for non‐linear temperature responses in key ecosystem processes: above‐ and belowground plant biomass, gross primary productivity (GPP), ecosystem respiration (R _eco ) and net ecosystem exchange (NEE). Overall, warming enhanced all measured processes non‐linearly, with stronger responses at higher temperatures. However, the magnitude and shape of these relationships varied depending on the interaction between soil moisture and plant species identity. For example, reducing soil moisture from 55% (ambient) to 33% significantly suppressed warming‐induced increases in above‐ and belowground biomass, GPP, NEE and R _eco at the warmer end of the temperature gradient – especially for Phleum alpinum , which showed a greater reduction than did the other species. Taken together, our findings indicate that the positive effects of warming on plant biomass and CO ₂ flux rates are constrained by lower soil moisture levels. This suggests that the impacts of climate warming on high‐latitude meadow ecosystems will be strongly shaped by warming‐induced changes in soil moisture and shifts in precipitation regimes.

We introduce an algorithm which can be directly used to feasible and optimum search in linear programming. Starting from an initial point the algorithm iteratively moves a point in a direction to resolve the violated constraints. At the same time, it ensures that previously fulfilled constraints are not breached during this process. The method is based on geometrical properties of n-dimensional space and can be used on any type of linear constraints (>, =, $\geq$), moreover it can be used when the feasible region is non-full-dimensional.