As the demand for electric vehicles (EVs) continues to surge, ensuring the efficiency and safety of their battery systems has become a critical focus for researchers. A groundbreaking study from the Training and Workshops Center at the University of Technology, Baghdad, Iraq, introduces an innovative approach to predicting thermal heat flux distribution in EV battery cells. By combining finite element analysis (FEA) with neural network (NN) models, this research promises to enhance battery performance and longevity, paving the way for more reliable and sustainable electric transportation.

Li–CO₂ batteries are considered promising energy storage systems in extreme environments such as Mars; however, severe performance degradation will occur at a subzero temperature owning to the sluggish reaction kinetics. Herein, a photo-energized strategy adopting sustainable solar energy in wide working temperature range Li–CO₂ battery was achieved with a binder-free MoS₂/carbon nanotube (CNT) photo-electrode as cathode. The unique layered structure and excellent photoelectric properties of MoS₂ facilitate the abundant generation and rapid transfer of photo-excited carriers, which accelerate the CO₂ reduction and Li₂CO₃ decomposition upon illumination. The illuminated battery at room temperature exhibited high discharge voltage of 2.95 V and mitigated charge voltage of 3.27 V, attaining superior energy efficiency of 90.2% and excellent cycling stability of over 120 cycles. Even at an extremely low temperature of − 30 °C, the battery with same electrolyte can still deliver a small polarization of 0.45 V by the photoelectric and photothermal synergistic mechanism of MoS₂/CNT cathode. This work demonstrates the promising potential of the photo-energized wide working temperature range Li–CO₂ battery in addressing the obstacle of charge overpotential and energy efficiency.

This paper explores the potential of mitochondrial-associated programmed-cell-death (mtPCD) patterns as biomarkers for predicting the prognosis of non-small-cell lung cancer (NSCLC). NSCLC is the most common type of lung cancer, accounting for 85% of all cases, and despite advances in treatment, prognosis remains poor for many patients. The study investigates various mtPCD-related genes and their association with patient outcomes, aiming to identify a prognostic signature that can guide personalized treatment.

Recently, the research team led by Professor Heping Zhang at the Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, published a groundbreaking study in the prestigious journal Science Bulletin. Titled "A Genomic Compendium of Cultivated Food-Derived Lactic Acid Bacteria Unveils Their Contributions to Human Health", the study details the development of the comprehensive genomic dataset of food-derived lactic acid bacteria (FLAB). By systematically revealing their diversity and potential applications in food fermentation and human health, this research provides valuable scientific insights and foundational support for future studies and practical applications of LAB.

Purpose

We estimate the marginal cost curve of each dealer in each auction, based on structural models of the multiunit discriminatory-price auction.

Design/methodology/approach

Auction theory has ambiguous implications regarding the relative performance of three formats of multiunit auctions: uniform-price, discriminatory-price and Vickrey auctions. We evaluate the performance of these three auction formats using bid-level data of the Federal Reserve’s purchase auctions of agency MBS from June 2014 through November 2014.

Findings

Our results suggest that neither uniform-price nor Vickrey auctions outperform discriminatory-price auctions in terms of the total expenditure. However, Vickrey auctions outperform discriminatory-price auctions in terms of efficiency, with the efficiency gain around 0.74% of the surplus that dealers extract on average.

Originality/value

To the best of our knowledge, this paper provides the first structural analysis of the auctions used by the Federal Reserve in implementing its monetary policies.

Research team introduced CHASER, an incentive mechanism for blockchain-based EMCS systems. It ensures budget balance, truthfulness, rationality, and high social welfare. Simulations show a 42% increase in social welfare and high task completion rates.