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An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories is different and also, there is insufficiency of high-scale databases for training. The purpose of the study is to provide high security.

In this research, optimization-assisted federated learning (FL) is introduced for thermoplastic waste segregation and classification. The deep learning (DL) network trained by Archimedes Henry gas solubility optimization (AHGSO) is used for the classification of plastic and resin types. The deep quantum neural networks (DQNN) is used for first-level classification and the deep max-out network (DMN) is employed for second-level classification. This developed AHGSO is obtained by blending the features of Archimedes optimization algorithm (AOA) and Henry gas solubility optimization (HGSO). The entities included in this approach are nodes and servers. Local training is carried out depending on local data and updations to the server are performed. Then, the model is aggregated at the server. Thereafter, each node downloads the global model and the update training is executed depending on the downloaded global and the local model till it achieves the satisfied condition. Finally, local update and aggregation at the server is altered based on the average method. The Data tag suite (DATS_2022) dataset is used for multilevel thermoplastic waste segregation and classification.

By using the DQNN in first-level classification the designed optimization-assisted FL has gained an accuracy of 0.930, mean average precision (MAP) of 0.933, false positive rate (FPR) of 0.213, loss function of 0.211, mean square error (MSE) of 0.328 and root mean square error (RMSE) of 0.572. In the second level classification, by using DMN the accuracy, MAP, FPR, loss function, MSE and RMSE are 0.932, 0.935, 0.093, 0.068, 0.303 and 0.551.

The multilevel thermoplastic waste segregation and classification using the proposed model is accurate and improves the effectiveness of the classification.

The onset of the COVID-19 pandemic certainly exacerbated the teacher shortage in the United States for all racial/ethnic groups, but especially for Black teachers. Black teachers account for 7–8% of the total teacher population and this percentage is the direct result of decades of systemic and structural barriers set against Black teachers in the form of racism. Still, Black teachers who enter the profession do so with the willingness to support all students and uplift Black students who often go years without seeing a teacher that looks like them. Black teachers often face different expectations than their white counterparts and these expectations, without the proper support, lead to Black teachers burning out at higher rates. In an effort to understand Black teachers' and the experiences that contribute them remaining in the classroom, the researchers explored Black teachers' working conditions through a phenomenological approach. The findings of this study suggest that Black teachers deserve working conditions that nurture who they are culturally and professionally, that reject actions of oppression toward them – both implicitly and explicitly, and offer spaces for Black teachers to be authentically heard.

Intense interest has been shown in creating new and effective biocide agents as a result of changes in bacterial isolates, bacterial susceptibility to antibiotics, an increase in patients with burns and wounds and the difficulty of treating infections and antimicrobial resistance. Woven, nonwoven and knitted materials are used to make dressings; however, nonwoven dressings are becoming more popular because of their softness and high absorption capacity. Additionally, textiles have excellent geometrical, physical and mechanical features including three-dimensional structure availability, air, vapor and liquid permeability, strength, extensibility, flexibility and diversity of fiber length, fineness and cross-sectional shapes. It is necessary to treat every burn according to international protocol and along with it has to focus on particular problems of patients and the best possible results.

The objective of this paper is to conduct a thorough examination of research pertaining to the utilization of textiles, as well as alternative materials and innovative techniques, in the context of burn wound dressings. Through a critical analysis of the findings, this study intends to provide valuable insights that can inform and guide future research endeavors in this field.

In the past years, there have been several dressings such as xeroform petrolatum gauze, silver-impregnated dressings, biological dressings, hydrocolloid dressings, polyurethane film dressings, silicon-coated nylon dressings, dressings for biosynthetic skin substitutes, hydrogel dressings, newly developed dressings, scaffold bandages, Sorbalgon wound dressing, negative pressure therapy, enzymatic debridement and high-pressure water irrigation developed for the fast healing of burn wounds.

This research conducts a thorough analysis of the role of textiles in modern burn wound dressings.

The average woman educator spends more time in the classroom than their male counterpart before ascending to an administrator position. Women educators spends on average 10–11 years as a teacher and as an administrator before becoming promoted to the superintendent position (Kingsberry & Jean-Marie, 2018; Manuel & Slate, 2003; Robinson, Shakeshaft, Grogan, & Newcomb, 2017). However, when they do reach this position, women superintendents lead in a different manner than men. They tend to focus on the well-being of children and families. They bring a strong interest in educating the child as a whole and place those at high risk a priority (Grogan, 2005). Women are finding way(s) to bring women's way(s) of knowing and expertise into this position. Women tend to keep instruction at the forefront and develop relationships with school and wider community members that can help foster the academic and social growth of the student (Grogan, 2005; Robinson et al., 2017; Wilmore, 2008).

Therefore, feminist@ leaders surface from their feminist and cultural knowledge (Sanchez & Ek, 2013) as a form of traditional resistance. They create pathways for other Latinas on their journey to claim Chicana feminism. As such, this chapter highlights the voices of four valiant women of color leaders on the path toward the superintendency whose personal and professional pathways intersect to create a feminist@ leadership identity.

The son of academics Monica and Godfrey Wilson, Francis Wilson (b. 1939) was raised in a Zulu-speaking locale of rural South Africa. Despite a keen interest in history imbued by his anthropologist parents, Wilson completed his undergraduate degree in physics at the University of Cape Town (UCT) before pursuing his doctorate at Cambridge University. Fascinated by the economics of discrimination and their relationship to the Apartheid regime in South Africa, Wilson spent a year in the United States as a visiting graduate fellow at the University of Virginia’s Thomas Jefferson Center for Political Economy (TJC) in 1964.

This paper examines the post-COVID-19 travel intentions to Kenya among Hong Kong outbound travelers using the theory of planned behavior (TPB) over three different time horizons of 1, 5, and 10 years.

An extension was made by including two new constructs of perceived destination image and travel constraints. A cross-sectional sample of Hongkongers was surveyed. Data were collected using a self-administrated bilingual (English and Chinese) online survey. Exploratory factor analysis, linear regression and mediation analysis were conducted to test the research model.

The findings from 216 Hongkongers reveal that different combinations of the four constructs, namely, perceived behavioral control, attitude, subjective norms, and destination image, share a positive effect on individuals' travel intention to Kenya over the three different time horizons. Travel constraints act as a significant negative mediator on the four constructs in predicting travel intention to Kenya among Hongkongers.

The results provide useful insight to Kenya's destination marketing organization (DMO) and Hong Kong outbound travel agencies to integrate prominent elements into marketing strategies to arouse travel intention and expand their business prospects, which will also accelerate tourism recovery in the post-pandemic era.

By integrating two extended variables into the TPB model, this study makes a contribution by overcoming the deficiency of the original theory.