Digital Commons Network^™

Investigation Of The Relationship Between Mindfulness And Empathy In Pre-Nursing Students Exposed To A Four-Week Mindfulness Training, Debra L. Klich

Theses and Dissertations

Objective: To investigate the effects of a four-week mindfulness program on levels of mindfulness, empathy, and anxiety in a group of pre-nursing students.

Methods: This study utilized a multiple-baseline across subjects design. Results from nine study participants were examined.

Results: Data demonstrates that a detectable decrease in anxiety levels can result from participation in self-directed mindfulness program as short as four weeks. Results regarding mindfulness and empathy levels were less conclusive. A specific relationship between empathy and mindfulness cannot be determined from this study.

Conclusions: Because previous studies have demonstrated a persistence of skills, practice, and benefits acquired through mindfulness …

Engaging Hmong Americans Long-Term Use Of Healthcare Technology Using Culturally Revised Social Cognitive Theory Model, Peggy Xiong

Theses and Dissertations

Purpose: Information technology benefits the world, and it’s required for health care system, such as electronic medical records (EMR). User acceptance model is to systematically study how users come to accept and use a technology. For example, the cultural values of a society restrict use of technology in which an individual can be less incline to accept it. There is a significant amount of Hmong population in great Milwaukee area. Spirits are a central part of Hmong religious beliefs where the spirit is tied to health. Chronic disease is believed to be caused by bad actions done by the individual’s …

Engaging Hmong Americans Long-Term Use Of Healthcare Technology Using Culturally Revised Social Cognitive Theory Model, Peggy Xiong

Theses and Dissertations

Purpose: Information technology benefits the world, and it’s required for health care system, such as electronic medical records (EMR). User acceptance model is to systematically study how users come to accept and use a technology. For example, the cultural values of a society restrict use of technology in which an individual can be less incline to accept it. There is a significant amount of Hmong population in great Milwaukee area. Spirits are a central part of Hmong religious beliefs where the spirit is tied to health. Chronic disease is believed to be caused by bad actions done by the individual’s …

The Effect Of Rapid Solidification And Heat Treatment On Microstructure And Electrochemical Properties Of Advanced Biomaterial Co-Cr-Mo-C Alloy, Hamid Reza Erfanian Nazif Toosi

Theses and Dissertations

Co-Cr-Mo-C alloys have been used for implant materials for decades because of their strength, corrosion resistance, wear resistance, and biocompatibility. To develop durable low-friction joint replacement implants, it is important to understand the solidification structure and properties of these materials. While HCP phase is the thermodynamically stable phase in these alloys, they maintain their high-temperature γ-FCC matrix and coarse dendritic structure on cooling to room temperature when cast by conventional methods. In this research, a wedgeshaped copper chill mold was used to examine the effect of cooling rates from 10 K/s to 450 K/s on the microstructure, HCP fraction, and …

That Other Form Of Madness: A Multidisciplinary Study Of Infectious Disease Within The Milwaukee County Poor Farm Cemetery, Helen Marie Werner

Theses and Dissertations

Between the years of 1882 and 1925, the Milwaukee County Poor Farm buried several

thousand members of Milwaukee’s indigent population in what would later be designated

Cemetery II. In 1991 and early 1992, after discovery of the cemetery during construction of parts

of the Milwaukee Regional Medical Center, 1,649 burials were excavated. The graves had long

been abandoned and the headstones bulldozed, leaving a register of burials without any obvious

way of associating each individual with their identity. A copy of the register is curated at the

University of Wisconsin-Milwaukee Archaeological Research Laboratory. The Milwaukee

County Poor Farm was a …

Development Of Investment Casting Method For Production Of Metal Foams For Tissue Engineering, Justin Aaron Womack

Theses and Dissertations

Ideal biomaterials for bone tissue regeneration are bone-mimicking structures that present a fully interconnected porous structure, have similar mechanical properties to bone, and exhibits a specific biodegradation behavior that is at the same rate as adjoining cell growth. Metals have high wear resistance, ductility, impact strength, and strain energy absorption capacity compared to other materials, which makes them suitable candidates for tissue engineering scaffolds. Magnesium and zinc are of interest for bone tissue regeneration for their biocompatibility and mechanical properties close to human bone. A newly developed process, presented in this thesis, for the creation of porous magnesium and zinc …

"Buried...Like A Human Being" At The Milwaukee County Poor Farm Cemetery: A Bioarchaeological Approach To Defining Fetal And Infant Personhood Through Biological Development, Historical Discourse, And Diapering, Brianne Charles

Theses and Dissertations

The ambiguity of life is visible in the complex sets of beliefs that cultures develop around abortion, stillbirth, and neonatal death. This research grew out of ambiguities surrounding bioarchaeological methods of age estimation among fetal and infant remains and the need for additional lines of evidence to define what a prenatal or postnatal age contextually means, how these definitions were upheld or challenged, and what impact these definitions had on the mortuary treatment of these bodies.

Discernment between fetal and infant skeletal remains is important to forensic investigations and bioarchaeological questions of personhood, infant mortality, and maternal health. However, skeletal …

Deep Learning Applications In Medical Image And Shape Analysis, Jingtao Yang

Theses and Dissertations

Deep learning is one of the most rapidly growing fields in computer and data science in the past few years. It has been widely used for feature extraction and recognition in various applications. The training process as a black-box utilizes deep neural networks, whose parameters are adjusted by minimizing the difference between the predicted feedback and labeled data (so-called training dataset). The trained model is then applied to unknown inputs to predict the results that mimic human's decision-making. This technology has found tremendous success in many fields involving data analysis such as images, shapes, texts, audio and video signals and …

A Real-Time Approach To Process Monitoring Of Heavy Metals: Spectrophotometric Characterization And Application Of Novel Azo, Joseph Timothy Labeots

Theses and Dissertations

I will describe studies in developing an on-line system for process monitoring that is based upon spectrophotometric methods. Heavy metals that are discarded into the environment may pose severe threats to public health, and are thus heavily regulated. Currently, there is no reasonably affordable, reliable, real-time monitoring method for heavy metals in water. This lack of feedback for industrial applications often leads to wasted resources due to massive overtreatment to avoid costly penalties. Spectrophotometry is a viable analysis option assuming a suitable sensor molecule is available as seemingly conflicting requirements may occur. Characterization of the sensor is one of the …

Deep Learning Applications In Medical Image And Shape Analysis, Jingtao Yang

Theses and Dissertations

Deep learning is one of the most rapidly growing fields in computer and data science in the past few years. It has been widely used for feature extraction and recognition in various applications. The training process as a black-box utilizes deep neural networks, whose parameters are adjusted by minimizing the difference between the predicted feedback and labeled data (so-called training dataset). The trained model is then applied to unknown inputs to predict the results that mimic human's decision-making. This technology has found tremendous success in many fields involving data analysis such as images, shapes, texts, audio and video signals and …