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There is ever growing interest in sensitive detection of short wavelength (SWL) radiation, ultraviolet (UV) and X-rays. We report on our efforts to develop sensitive SWL detectors based on the nanoparticles (NPs) of lanthanide (Ln) doped Cs-Pb-bromide perovskite and oxysulfides that down-convert the spectrum of SWL radiation into visible and near-infrared (NIR) light. The spectrum of this light matches the spectral response of inexpensive and rugged silicon avalanche photo diodes (APDs) and image sensors with an electron gain of >106. Synthesized Eu-doped perovskite NPs demonstrated a down-shifted visible-NIR photoluminescence (PL) response to UV radiation with the spectral peaks attributed to both perovskite matrix and Eu dopant. A scintillating screen made of red nanophosphor Gd2O2S: Eu was used for X-ray see-through imaging of a metal object hidden in an opaque medium. Integration of the nanophosphor with a silicon APD made it possible to detect pulsating X-rays at frequencies of 20 and 40Hz with a signal-to-noise ration of ~5. The results obtained might be used in the field of sensitive detection of SWL radiation. 

Recent advances show the wide-ranging applications of machine learning for solving multi-disciplinary problems in cancer cell growth detection, modeling cancer growths and treatments, etc. There is growing interests among the faculty and students at Clayton State University to study the applications of machine learning for medical imaging and propose new algorithms based on a recently funded NSF grant proposal in medical imaging, skin cancer detection, and associated smartphone apps and a web-based user-friendly diagnosis interface. We tested many available open-source ML algorithm-based software sets in Python as applied to medical image data processing, and modeling used to predict cancer growths and treatments. We study the use of ML concepts that promote efficient, accurate, secure computation over medical images, identifying and classifying cancer cells, and modeling the cancer cell growths. In this collaborative project with another university, we follow a holistic approach to data analysis leading to more efficient cancer detection based upon both cell analysis and image recognition. Here, we compare ML based software methods and analyze their detection accuracy. In addition, we acquire publicly available data of cancer cell image files and analyze using deep learning algorithms to detect benign and suspicious image samples. We apply the current pattern matching algorithms and study the available data with possible diagnosis of cancer types. 

Teamwork has been identified as one of the essential professional skills for the 21st century. Business, industries, and corporates require their employees to work in teams on various projects. Therefore, it is crucial to introduce and train undergraduate students on teamwork skills. Working in teams is not easy as one needs to collaborate with people from diverse backgrounds, skillsets, and opinions. The disagreement among the team members may lead to conflict and chaos that jeopardizes the team's harmony. Therefore, just creating teams and assigning a group project is insufficient to help undergraduate students develop teamwork skills. Instructors need to help students become cognizant of their teamwork skills, such as conflict resolution, scrum values, and cultural self-awareness. In this research paper, we intend to understand the perception of students enrolled in a sophomore-level system's course regarding conflict resolution skills, scrum values, and cultural self-awareness. We also want to understand how the perception of these values is related to one another. In the light of this study, we want to answer the following research questions (1) How do students' reported conflict management skills relate to their reported scrum values? (2) How do students' cultural self-awareness relate to their conflict management skills? (3) How do students' cultural self-awareness relate to their reported scrum values? A course on system analysis and design followed a project-based cooperative learning approach. The students were required to work in teams and complete the course deliverables, including the final course project. The team projects followed a scrum approach that helped students identify the project requirements, perform modeling and develop a prototype. Since students worked on scrum- driven projects in a cooperative learning environment, the students were required to participate in a survey study that allowed the instructional team to develop an understanding of the students' perception of conflict management, scrum values, and cultural self-awareness. The responses of the students were analyzed using descriptive and inferential statistics. The results suggest that students found themselves competent in managing conflict, adhering to scrum values, and demonstrating a high-level cultural self-awareness. 

Teamwork has been identified as one of the essential professional skills for the 21st century. Business, industries, and corporates require their employees to work in teams on various projects. Therefore, it is crucial to introduce and train undergraduate students on teamwork skills. Working in teams is not easy as one needs to collaborate with people from diverse backgrounds, skillsets, and opinions. The disagreement among the team members may lead to conflict and chaos that jeopardizes the team's harmony. Therefore, just creating teams and assigning a group project is insufficient to help undergraduate students develop teamwork skills. Instructors need to help students become cognizant of their teamwork skills, such as conflict resolution, scrum values, and cultural self-awareness. In this research paper, we intend to understand the perception of students enrolled in a sophomore-level system's course regarding conflict resolution skills, scrum values, and cultural self-awareness. We also want to understand how the perception of these values is related to one another. In the light of this study, we want to answer the following research questions (1) How do students' reported conflict management skills relate to their reported scrum values? (2) How do students' cultural self-awareness relate to their conflict management skills? (3) How do students' cultural self-awareness relate to their reported scrum values? A course on system analysis and design followed a project-based cooperative learning approach. The students were required to work in teams and complete the course deliverables, including the final course project. The team projects followed a scrum approach that helped students identify the project requirements, perform modeling and develop a prototype. Since students worked on scrum- driven projects in a cooperative learning environment, the students were required to participate in a survey study that allowed the instructional team to develop an understanding of the students' perception of conflict management, scrum values, and cultural self-awareness. The responses of the students were analyzed using descriptive and inferential statistics. The results suggest that students found themselves competent in managing conflict, adhering to scrum values, and demonstrating a high-level cultural self-awareness.