Inflammation of the lungs, called pneumonia, is a disease characterized by inflammation of the air sacs that interfere with the exchange of oxygen and carbon dioxide. It is caused by a variety of infectious organisms, including viruses, bacteria, fungus, and parasites. Pneumonia is more common in people who have pre-existing lung diseases or compromised immune systems, and it primarily affects small children and the elderly. Diagnosis of pneumonia can be difficult, especially when relying on medical imaging, because symptoms may not be immediately apparent. Convolutional neural networks (CNNs) have recently shown potential in medical imaging applications. A CNN-based deep learning model is being built as part of ongoing research to aid in the detection of pneumonia using chest X-ray images. The dataset used for training and evaluation includes images of people with normal lung conditions as well as photos of people with pneumonia. Various preprocessing procedures, such as data augmentation, normalization, and scaling, were used to improve the accuracy of pneumonia diagnosis and extract significant features. In this study, a framework for deep learning with four pre-trained CNN models—InceptionNet, ResNet, VGG16, and DenseNet—was used. To take use of its key advantages, transfer learning utilizing DenseNet was used. During training, the loss function was minimized using the Adam optimizer. The suggested approach seeks to improve early diagnosis and enable fast intervention for pneumonia cases by leveraging the advantages of several CNN models. The outcomes show that CNN-based deep learning models may successfully diagnose pneumonia in chest X-ray pictures.

Oil spill clean-up is a long-standing challenge for researchers to prevent serious environmental pollution. A new kind of oil-absorbent based on silicon-containing polymers (e.g., poly(dimethylsiloxane) (PDMS)) with high absorption capacity and excellent reusability was prepared and used for oil-water separation. The PDMS-based oil absorbents have highly interconnected pores with swellable skeletons, combining the advantages of porous materials and gels. On the other hand, polymer/silica composites have been extensively studied as high-performance functional coatings since, as an organic/inorganic composite material, they are expected to combine polymer flexibility and ease of processing with mechanical properties. Polymer composites with increased impact resistance and tensile strength without decreasing the flexibility of the polymer matrix can be achieved by incorporating silica nanoparticles, nanosand, or sand particles into the polymeric matrices. Therefore, polymer/silica composites have attracted great interest in many industries. Some potential applications, including high-performance coatings, electronics and optical applications, membranes, sensors, materials for metal uptake, etc., were comprehensively reviewed. In the first part of the review, we will cover the recent progress of oil absorbents based on silicon-containing polymers (PDMS). In the later details of the review, we will discuss the recent developments of functional materials based on polymer/silica composites, sand, and nanosand systems.

This study investigates the relationship between Corporate Social Responsibility (CSR) dimensions and employees’ satisfaction and retention for sustainability in banks.  Four components (economic, legal, ethical, and philanthropic) are analyzed CSR activities and their effects on employee’s satisfaction and retention in the company. Purposive and convenient sampling method was used to get the information from 221 participants. The entire form of the dataset is utilized to execute regression and correlation analysis using SPSS. In order to find out the relationship between economic, legal, ethical, and philanthropic factors and employee’s satisfaction and retention, regression beta coefficient and correlation were used to analyze. This study also examines the relationship between job satisfaction and intentions to retain with an organization. The findings demonstrate that the CSR aspects of ethical and philanthropic have a considerable and favorable influence on employee’s satisfaction. The outcome also demonstrates a good and prominent influence of legal CSR on the satisfaction of employee’s to retain with the firm. Moreover, this study demonstrates that economic aspect of CSR has no significant impact on employee’s retention and satisfaction. Correlation analysis depicts that economic CSR is positively and significantly connected with employee’s retention and satisfaction. This research came to the conclusion that enhancing employees view regarding CSR activities such as economic, legal, ethical, and philanthropic will increase employee’s satisfaction. Therefore, executives and managers in the banks should take steps to influence how employees see CSR areas in order to raise employee’s satisfaction and retention in the banks for sustainability.

This study considers the role of leadership within the hospitality sector as a key tool in raising performance levels. Hospitality is unique in its service-based approach, which relies on employees to ensure effective service. Post-COVID-19 and Brexit, the hospitality sector has seen a shift in reliance towards a home workforce, and as such, retention has become an area of greater importance. This case study investigation adopted a qualitative approach to consider the perceptions of six managers within a UK-based luxury hotel. Semi-structured interviews were used to draw out their experience of approaches used to ensure effective delivery in their areas of responsibility. The research concludes that a shift in leadership approach (from autocratic to democratic) is a necessity to retain staff, particularly as the shift to a greater reliance on a home workforce due to COVID-19 and Brexit starts to impact the sector. There does, however, remain a need to be more autocratic in certain situations to ensure the quality of service. Subsequently, communication becomes critical in the building of relationships. The research considers leadership approaches from a managerial perspective and is based on individual perceptions. Traditionally, research has been conducted from an employee perspective.