Public procurement is often used to achieve policy goals beyond the purchase of the required goods and services. These goals include the economic advancement of minorities, the promotion of fair labour practices and climate action. In the last two decades, many countries have used public procurement to advance gender equality. This is referred to as gender-responsive procurement and is often implemented through the award of public contracts to women-owned businesses. While many countries have legal provisions designed to increase the award of public contracts to women, gender-responsive procurement is extremely limited and women-owned businesses are not fully integrated into public sector supply chains. This is unfortunate, given that gender-responsive procurement can improve women's economic empowerment, with implications for sustainable development. This article adopts a gender equality and women's economic empowerment lens to examine the legal, policy and cultural barriers to gender-responsive procurement and recommends measures to improve the award of public contracts to women-owned businesses.

The purpose of this study was to measure the prevalence of use of driver monitoring systems among U.S. adults, and factors influencing their adoption. One in five U.S. adults has used driver monitoring, primarily to obtain a discount on insurance. Safety benefits and financial incentives are likely to influence adoption.

Antisocial behaviour arises from a complex interplay of innate and environmental factors, with the brain’s adaptability to shifting environmental demands playing a pivotal role. An important but scantly studied environmental factor – micro-geographic hot spots of crime – covers a broad array of problems that produce frequent triggers for antisocial behaviour. Despite the established influence of neural substrates and various environmental factors on antisocial behaviour, the impact of residing in high-risk, violent crime hot spots in Israel, as well as other global locales, remains understudied. This paper aims to elucidate the intricate interplay between neurobiological mechanisms and crime hot spots in the context of antisocial behaviour. Its objectives are twofold: first, to acquaint researchers with the existing literature on the subject; and second, to catalyse further research and robust discourse in this domain. The article commences by reviewing the behavioural manifestations of antisocial tendencies within the framework of crime hot spots. Subsequently, it delves into the influence of crime hot spots on neurocognitive substrates, particularly emphasizing their impact on developmental trajectories associated with antisocial tendencies and the expression of antisocial behaviours. In closing, the paper offers implications and conclusions pertinent to crime hot spots in Israel.

Due to the safety threats caused by icing, the de-icing system is essential in the aviation industry. As an effective method, the electromechanical de-icing system (EDS) is a new ice-protection system based on mechanical vibration principles. For the majority of the current research on system de-icing capability estimation, the effect of impedance-matching is not considered. Impedance matching plays a very important role in improving the performance of the electromechanical system, so we must also consider the impact of impedance matching when designing the EDS. In the present study, a de-icing capability prediction method considering the impact of an impedance-matching device is established based on experimental and numerical methods. The results indicate that the impedance-matching effect has no impact on the mechanical vibration of the structure for the same load power. Meanwhile, impedance-matching devices can significantly improve the power factor and increase the interface shear stress/strain for de-icing. Eight different vibrational modes were tested, and the experimental results showed that the actual interface shear strain after impedance matching is inversely proportional to the de-icing time. The verification experiments were conducted and the accuracy of the proposed prediction method was verified.