Efficient table-top dual-wavelength beamline for ultrafast transient absorption spectroscopy in the soft X-ray region.

We present a table-top beamline providing a soft X-ray supercontinuum extending up to 370 eV from high-order harmonic generation with sub-13 fs 1300 nm driving pulses and simultaneous production of sub-5 fs pulses centered at 800 nm. Optimization of high harmonic generation in a long and dense gas medium yields a photon flux of  ~ 1.4 × 106 photons/s/1% bandwidth at 300 eV. The temporal resolution of X-ray transient absorption experiments with this beamline is measured to be 11 fs for 800 nm excitation. This dual-wavelength approach, combined with high flux and high spectral and temporal resolution soft X-ray absorption spectroscopy, is a new route to the study of ultrafast electronic dynamics in carbon-containing molecules and materials at the carbon K-edge

Impact of music in the operating room: EBP

Research shows that music is commonly played in the OR environment. A critical appraisal of evidence showed the effect music has in the OR has been found to cause errors, interfere with communication and the critical phases. OR protocols and hard stops should be implemented to minimize controllable errors

A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models

Emotion recognition is a critical aspect of human interaction. This topic garnered significant attention in the field of artificial intelligence. In this study, we investigate the performance of convolutional neural network (CNN) and Modified VGG16 models for emotion recognition tasks across two datasets: FER2013 and AffectNet. Our aim is to measure the effectiveness of these models in identifying emotions and their ability to generalize to different and broader datasets. Our findings reveal that both models achieve reasonable performance on the FER2013 dataset, with the Modified VGG16 model demonstrating slightly increased accuracy. When evaluated on the Affect-Net dataset, performance declines for both models, with the Modified VGG16 model continuing to outperform the CNN. Our study emphasizes the importance of dataset diversity in emotion recognition and discusses open problems and future research directions, including the exploration of multi-modal approaches and the development of more comprehensive datasets.Comment: 5 Pages, 9 figure

Role of HR and the entire organization in talent management in the upcoming 4th Industrial Revolution

The Fourth Industrial Revolution depicts the accelerated alterations as to how we live, work, and relate to each other due to the implementation of computer network-physical systems, the Artificial intelligence, and IoT. In our manufacturing plants and places of work, as we incorporate smart innovations, networked systems interact, conceptualize the entire production chain, and make independent decisions. It is anticipated that such a revolution will influence all professions, sectors, and markets. Even as this is in some ways an expansion of the 3rd Industrial Revolution (Digital Revolution) technology and automation due to speed, scope and system impact of the fourth revolution changes, it is considered the new and next age. With skill replacement by Artificial Intelligence being inevitable, role of Human Resource (HR) has become more challenging and crucial. With higher competition, human workforce is locking horns with technology and system to stay ahead in the race. The expectations of organisations are ever rising with cost reduction and increased productivity, HR has been the linking bridge between organisations and manpower. The outcome of this report is to understand the impact 4th Industrial Revolution has on the workforce, how HR has developed different procedures and process to attract new talent and retain existing talent. The methodologies HR has to undertake to develop knowledge and skills of the current talent are also explained in this report

Building an Ignatian Ummah: The Experience of Muslim International Students at an American Jesuit University

In 2020, over a million international students enrolled at universities in the United States. A significant percent come from Muslim-majority countries whose governments sponsor their education abroad. As overall international enrollments decrease, recruiting this population remains attractive to U.S. institutions. International students face the challenge of entering higher education in a foreign country and culture, navigating their education during a time of political battles over immigration and issues of diversity. Muslim students face prejudice and exclusion due to Islamophobia in the U.S. Universities have a responsibility to understand and fully support students from whom they benefit financially. This study examined the experiences of 11 Muslim international students and alumni at one American Jesuit university, exploring how being at a religiously affiliated institution influenced their university experience. A qualitive approach was utilized to understand their experiences through semi-structured, in-depth interviews. Findings confirmed that Muslim international students experience multiple challenges and demonstrated the importance of community and impact of institutional interfaith identity on supporting and shaping their experiences. The framework of Community Cultural Wealth and spiritual capital highlight the tools and strengths students engage to successfully navigate their time at the institution. Findings supported the opportunities universities have to push back against Islamophobia by providing opportunities for all to engage with and learn from one another, and showed Jesuit universities’ institutional interfaith identities and educational pedagogy as critical in helping students fully develop themselves and influence the good of society