The internet has reconstructed information boundaries in the modern world, and along with mobile internet has become the most important source of information for the public. Simultaneously, the internet has brought humanity into an era of information overload. In response to this information overload, recommendation systems backed by big data and smart algorithms have become highly popular on information platforms on the internet. There have already been many studies that attempted to improve and upgrade recommendation algorithms from a technical perspective, but the field lacks a comprehensive reflection on news recommendation algorithms. In our study, we summarize the principles and characteristics of current news recommendation algorithms and discuss “unexpected consequences” that might arise from these algorithms. In particular, technical bottlenecks include cold starts and data sparsity, and moral bottlenecks are presented in the form of information imbalance and manipulation. These problems may cause new recommendation systems to become a “warped mirror”.

One of the main disadvantages of optical concentrators is that the temperature of the panel increases too much due to the radiation being concentrated on it. To reduce the temperature of solar panels, cooling technology is used utilizing an operating fluid (usually water). After cooling the system, the temperature of the operating fluid rises and its heat can be used in the cold seasons for heating purposes and in the hot seasons by the Organic Rankine Cycle (ORC) technology to generate electricity, and in this way, the overall efficiency of the system can be significantly increased. In the proposed system, first, a part of the concentrated solar radiation in the photovoltaic (PV) panel is converted into electrical energy, and the rest of the energy is in the form of heat, a part of which is emitted to the environment by convection and radiation heat transfer from the system itself, and the rest of the heat is emitted by the operating fluid turns the turbine and generates electricity. The simulation results of this system show that for the investment cost of the Rankine cycle in the amount of 1500–3100$/kW, the investment return time is 3.05–5.34 years.