With the development of renewable energy technologies, the recovery and utilization of low-grade energy based on hydroelectric effect have drawn much attention owing to its environmental friendliness. Herein, a novel hydroelectric generator utilizing sodium alginate-graphene oxide (SA-GO) fibers is proposed, which is ecofriendly and low-cost. These fibers with a length of 5 cm and a diameter of 0.15 mm can generate an open circuit voltage (Voc) of approximately 0.25 V and a short circuit current (Isc) of 4 µA. By connecting SA-GO fibers in either series or parallel, this combination can power some electronic devices. Furthermore, these fibers enable the recovery of low-grade energy from the atmosphere or around the human body. Both experimental and theoretical analysis confirm that the directional flow of protons driven by water molecules is the main mechanism for power generation of SA-GO fibers. This study not only presents a simple energy transformation method that is expected to be applied to our daily life, but also provides a novel idea for the design of humidity electricity-generation devices.

To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O absorption refrigeration system (ARS) driven by solar energy was designed and analyzed. The system was optimized using a multi-objective optimization method based on Sobol sensitivity analysis to enhance solar energy efficiency and reduce costs. The model of the solar single-double-effect LiBr-H2O ARS was developed, and the continuous operation characteristics of the system in different configurations were simulated and compared. The results show that the average cooling time of the system without auxiliary heat source is approximately 8.5 h per day, and the double-effect mode (DEM) generates about 11 kW of cooling capacity during continuous operation for one week under the designated conditions, and the system with adding auxiliary heat source meet the requirements of daily cooling time, the solar fraction (SF) of the system reaches 59.29%. The collector area has a greater effect on SF, while the flowrate of the hot water circulating pump and the volume of storage tank have little effect on SF. The optimized SF increases by 3.22% and the levelized cost decreases by 10.18%. Moreover, compared with the solar single-effect LiBr-H2O ARS, the SF of the system is increased by 15.51% and 17.42% respectively after optimization.

 Research team releases the first panoramic LoRA survey, mapping five research fronts—task adaptation, plug-in generalization, speed-ups, federated privacy and real-world deployment—and charting GaaS, continued pre-training and agent roles as next horizons.

Researchers deliver the first comprehensive survey and open NNLCB benchmark of neural universal lossless compressors, taxonomizing 17 state-of-the-art static/adaptive/semi-adaptive algorithms tested across 8.5 GB of multi-source data on CPUs/GPUs.

EduStudio unifies Cognitive Diagnosis and Knowledge Tracing in a modular PyTorch library, cutting new-model code to templated inheritance and offering live leaderboards at edustudio.ai.

ECG-I2S, an open-source Python toolkit, turns smartphone photos of printed ECGs into beat-aligned digital signals and real-time cardiac diagnoses via a one-line pip install.