Loop effect in the coherent neutrino-nucleus scattering

A connection between the neutrino and an exotic fermion is described in the general neutrino model. In this model the neutrinos can convert into the new fermion and thus the interaction leads to novel recoil spectrum in the neutrino scattering experiments. We study the general neutrino interaction by evaluating both the tree-level and loop-level contributions to the coherent elastic neutrino-nucleus scattering. We illustrate the scattering by taking the framework of a simplified neutrino model with a Dirac fermion χ and a spin-0 mediator. For the CP phase in the quark sector being 0 and π/2, the detection processes are dominated by the tree-level and loop-level contribution, respectively. We investigate the constraints on the couplings between the mediator and the new particle χ or the quarks by fitting to the COHERENT data. The parameter space with mχ larger than the maximal energy of incoming neutrinos can be also constrained by including the loop-level contribution.

An alternative View on Entropic Measures Applied to the Nervous System

In the same manner that there are several statements of the second law of thermodynamics but all of them are equivalent, it is possible that most of the entropic methods applied to the nervous system and brain in particular share a similar outcome, or essence, that helps understand some aspects of the fundamentals of basic neurodynamics. In this short review focused on certain aspects of the entropic metrics some results are examined that indicate the fundamental importance of the natural tendency towards a maximal energy distribution for healthy brain activity and thus cognition to emerge.

Optimization of Fixed Photovoltaic Panel “Tilt” Angles for Maximal Energy Harvest Considering Year-Around Sky Coverage Conditions

The fixed setup angles of photovoltaic (PV) panels are typically optimized properly in order to maximize the electrical energy harvest. In the present work, the sunlight availability or sky coverage conditions of sufficiently small time intervals for everyday around the year are counted in the modeling for computation of solar energy on the PV panel in order to optimize the panel tilt angles. Maximal energy harvest in a year is the objective of choosing the optimal tilt angles. The analysis calculates vectors of instantaneous sunray and solar panel normal direction to consider the ‘cosine’ effect. The energy harvested in every 6 min by a PV panel of per square meter is summated for day-long period from sunrise to sunset when the sun elevation angle is above 5 deg. The general model is applied to the authors’ local city, Tucson, Arizona, USA. The results show that the annual solar energy received by a solar panel tilted with a fixed angle of equal to the local latitude could reach to 2297 kWh/m2 with the 10-year averaged sky coverage conditions of every 6 min considered. However, if a PV panel is inclined using the discovered optimal angles with two times, four-seasonal, and monthly adjustments, the gain in the yearly solar energy harvest can be 7.59%, 7.60%, and 9.19%, respectively, greater than that with the fixed angle equal to local latitude.

An Integrative View on Entropic Measures Applied to the Nervous System

In the same manner that there are several statements of the second law of thermodynamics but all of them are equivalent, it is possible that most of the entropic methods applied to the nervous system and brain in particular share a similar outcome, or essence, that help understand some aspects of the structure of cognition. In this short review focused on certain aspects of the entropic metrics some results are examined that indicate the fundamental importance of the natural tendency towards a maximal energy distribution for brain activity to be optimal and thus cognition to emerge.

Energy Efficient Routing in Iot Based on Chronological Atom Search Optimization Algorithm

Internet of Things (IoT) is a developing technology used for enhancing the communication and providing flexibility to humans. The data packets are transmitted through better routing path using the IoT nodes in the network. This research presents an effective optimization algorithm for selecting the effective routing path for the transmission of the speech signal to the destination effectively. The optimization algorithm namely, chronological atom search optimization (chronological ASO) algorithm is developed for selecting the routing path. The chronological ASO algorithm is developed by integrating the chronological concept in ASO algorithm. After the initialization of the network, the effective routing path is selected using the fitness parameters, such as energy, delay and distance. Then, the speech signal is transmitted from the source node to the destination node by selecting the routing path having maximum fitness function. The performance analysis of the proposed chronological ASO algorithm is done based on the metrics, such as energy, throughput, and PDR. When compared to the existing methods, the proposed method provided a maximal energy of 0.2375, maximal PDR of 46.1538, and maximal throughput of 0.0792 for 50 nodes and obtained a maximal energy of 0.1381, maximal PDR of 32.0988, and maximal throughput of 0.0395, respectively.

Optimization of Fixed PV Panel “Tilt” Angles for Maximal Energy Harvest Considering Year-Around Sky Coverage Conditions

In order to maximize the electrical energy harvested by photovoltaic panels in a setup with fixed angles, it is important to get the angle optimized. In the present work, sunlight availability or sky coverage conditions of year-long period based on ten years’ data are counted in the modeling to optimize the PV panel tilt angles targeting for the maximal energy in a year. The analysis uses precise sunray calculation models. The energy harvested in every 6 minutes by a PV panel is summated for the daily time period from sunrise to sunset when the sun elevation angles are above 5 degree, with the sky-coverage factor multiplied. The results show that the annual solar energy received by a PV solar panel tilted with a fixed angle equal to the local latitude (at Tucson AZ, USA) could reach 2297 kWh/m2 under 10-year averaged sky coverage conditions. However, the gain in the yearly solar energy harvest is expected to be about 4.28%, 7.06%, and 8.42% higher if a PV panel is inclined optimally according to two-season, four-season, and monthly adjustments, respectively, compared to the optimized life-long fixed angle.