Digital Commons Network^™

Transcriptomic-Assisted Immune And Neoantigen Profiling In Premalignancy, Kyle Chang, Florencia Mcallister, Eduardo Vilar

Faculty, Staff and Student Publications

Immune-based cancer therapies such as checkpoint inhibitors (CPI) and vaccines have been increasingly studied across different cancer types. Response to such therapies depends on a number of factors such as mutational burden, neoantigen load, presence of tumor infiltrating lymphocytes, among others. Next-generation sequencing (NGS) technologies are particularly attractive to interrogate the immune response compared to traditional assays such as qRT-PCR and immunohistochemistry (IHC) because they enable the discovery of neoantigens and simultaneous profiling of immune infiltration using gene expression on a large scale. Current approaches in immune profiling utilizes whole-exome sequencing (WES) for human leukocyte allele (HLA) typing and neoantigen …

Surgical Management Of Brain Metastasis: Challenges And Nuances, Chibawanye I Ene, Sherise D Ferguson

Faculty, Staff and Student Publications

Brain metastasis is the most common type of intracranial tumor. The contemporary management of brain metastasis is a challenging issue and traditionally has carried a poor prognosis as these lesions typically occur in the setting of advanced cancer. However, improvement in systemic therapy, advances in radiation techniques and multimodal therapy tailored to the individual patient, has given hope to this patient population. Surgical resection has a well-established role in the management of brain metastasis. Here we discuss the evolving role of surgery in the treatment of this diverse patient population.

High-Resolution Metabolomics Of Exposure To Tobacco Smoke During Pregnancy And Adverse Birth Outcomes In The Atlanta African American Maternal-Child Cohort, Youran Tan, Dana Boyd Barr, P Barry Ryan, Veronika Fedirko, Jeremy A Sarnat, Audrey J Gaskins, Che-Jung Chang, Ziyin Tang, Carmen J Marsit, Elizabeth J Corwin, Dean P Jones, Anne L Dunlop, Donghai Liang

Faculty, Staff and Student Publications

Exposure to tobacco smoke during pregnancy has been associated with a series of adverse reproductive outcomes; however, the underlying molecular mechanisms are not well-established. We conducted an untargeted metabolome-wide association study to identify the metabolic perturbations and molecular mechanisms underlying the association between cotinine, a widely used biomarker of tobacco exposure, and adverse birth outcomes. We collected early and late pregnancy urine samples for cotinine measurement and serum samples for high-resolution metabolomics (HRM) profiling from 105 pregnant women from the Atlanta African American Maternal-Child cohort (2014-2016). Maternal metabolome perturbations mediating prenatal tobacco smoke exposure and adverse birth outcomes were assessed …

Progression Free Survival Prediction For Head And Neck Cancer Using Deep Learning Based On Clinical And Pet/Ct Imaging Data, Mohamed A Naser, Kareem A Wahid, Abdallah S R Mohamed, Moamen Abobakr Abdelaal, Renjie He, Cem Dede, Lisanne V Van Dijk, Clifton D Fuller

Faculty, Staff and Student Publications

Determining progression-free survival (PFS) for head and neck squamous cell carcinoma (HNSCC) patients is a challenging but pertinent task that could help stratify patients for improved overall outcomes. PET/CT images provide a rich source of anatomical and metabolic data for potential clinical biomarkers that would inform treatment decisions and could help improve PFS. In this study, we participate in the 2021 HECKTOR Challenge to predict PFS in a large dataset of HNSCC PET/CT images using deep learning approaches. We develop a series of deep learning models based on the DenseNet architecture using a negative log-likelihood loss function that utilizes PET/CT …

Deep-Learning-Based Generation Of Synthetic 6-Minute Mri From 2-Minute Mri For Use In Head And Neck Cancer Radiotherapy, Kareem A Wahid, Jiaofeng Xu, Dina El-Habashy, Yomna Khamis, Moamen Abobakr, Brigid Mcdonald, Nicolette O' Connell, Daniel Thill, Sara Ahmed, Christina Setareh Sharafi, Kathryn Preston, Travis C Salzillo, Abdallah S R Mohamed, Renjie He, Nathan Cho, John Christodouleas, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

Background: Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head and neck (HN) cancer, these images are often insufficient for discriminating target volumes and organs at risk (OARs). In this study, we investigated a deep learning (DL) approach to generate high-quality synthetic images from low-quality images.

Methods: We used 108 unique HN image sets of paired 2-minute T2-weighted scans (2mMRI) and 6-minute T2-weighted scans (6mMRI). 90 image sets (~20,000 slices) were used to train a 2-dimensional generative adversarial DL model that utilized 2mMRI as input and …

Head And Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling Of Deep Learning In Pet/Ct Images, Mohamed A Naser, Kareem A Wahid, Lisanne V Van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede, Abdallah S R Mohamed, Clifton D Fuller

Faculty, Staff and Student Publications

Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology workflows. In this study, we develop a series of deep learning models based on a 3D Residual Unet (ResUnet) architecture that can segment oropharyngeal tumors with high performance as demonstrated through internal and external validation of large-scale datasets (training size = 224 patients, testing size = 101 patients) as part of the 2021 HECKTOR Challenge. Specifically, we leverage ResUNet models with either 256 or 512 bottleneck layer channels that demonstrate internal validation (10-fold cross-validation) mean Dice similarity coefficient …

Deep Learning Auto-Segmentation Of Cervical Skeletal Muscle For Sarcopenia Analysis In Patients With Head And Neck Cancer, Mohamed A Naser, Kareem A Wahid, Aaron J Grossberg, Brennan Olson, Rishab Jain, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S R Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D Fuller

Faculty, Staff and Student Publications

Background/purpose: Sarcopenia is a prognostic factor in patients with head and neck cancer (HNC). Sarcopenia can be determined using the skeletal muscle index (SMI) calculated from cervical neck skeletal muscle (SM) segmentations. However, SM segmentation requires manual input, which is time-consuming and variable. Therefore, we developed a fully-automated approach to segment cervical vertebra SM.

Materials/methods: 390 HNC patients with contrast-enhanced CT scans were utilized (300-training, 90-testing). Ground-truth single-slice SM segmentations at the C3 vertebra were manually generated. A multi-stage deep learning pipeline was developed, where a 3D ResUNet auto-segmented the C3 section (33 mm window), the middle slice of the …

Evaluation Of Deep Learning-Based Multiparametric Mri Oropharyngeal Primary Tumor Auto-Segmentation And Investigation Of Input Channel Effects: Results From A Prospective Imaging Registry, Kareem A Wahid, Sara Ahmed, Renjie He, Lisanne V Van Dijk, Jonas Teuwen, Brigid A Mcdonald, Vivian Salama, Abdallah S R Mohamed, Travis Salzillo, Cem Dede, Nicolette Taku, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

Background/purpose: Oropharyngeal cancer (OPC) primary gross tumor volume (GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) is increasingly used for OPC adaptive radiotherapy but relies on manual segmentation. Therefore, we constructed mpMRI deep learning (DL) OPC GTVp auto-segmentation models and determined the impact of input channels on segmentation performance.

Materials/methods: GTVp ground truth segmentations were manually generated for 30 OPC patients from a clinical trial. We evaluated five mpMRI input channels (T2, T1, ADC, Ktrans, Ve). 3D Residual U-net models were developed and assessed using leave-one-out cross-validation. A baseline T2 model was compared to mpMRI models (T2 + T1, …

Behavioural Immune Landscapes Of Inflammation, Georgiana Crainiciuc, Miguel Palomino-Segura, Miguel Molina-Moreno, Jon Sicilia, David G Aragones, Jackson Liang Yao Li, Rodrigo Madurga, José M Adrover, Alejandra Aroca-Crevillén, Sandra Martin-Salamanca, Alfonso Serrano Del Valle, Sandra D Castillo, Heidi C E Welch, Oliver Soehnlein, Mariona Graupera, Fátima Sánchez-Cabo, Alexander Zarbock, Thomas E Smithgall, Mauro Di Pilato, Thorsten R Mempel, Pierre-Louis Tharaux, Santiago F González, Angel Ayuso-Sacido, Lai Guan Ng, Gabriel F Calvo, Iván González-Díaz, Fernando Díaz-De-María, Andrés Hidalgo

Faculty, Staff and Student Publications

Transcriptional and proteomic profiling of individual cells have revolutionized interpretation of biological phenomena by providing cellular landscapes of healthy and diseased tissues1,2. These approaches, however, do not describe dynamic scenarios in which cells continuously change their biochemical properties and downstream 'behavioural' outputs3-5. Here we used 4D live imaging to record tens to hundreds of morpho-kinetic parameters describing the dynamics of individual leukocytes at sites of active inflammation. By analysing more than 100,000 reconstructions of cell shapes and tracks over time, we obtained behavioural descriptors of individual cells and used these high-dimensional datasets to build behavioural landscapes. These landscapes recognized leukocyte …

Screening Of Hydrocarbon-Stapled Peptides For Inhibition Of Calcium-Triggered Exocytosis, Ying Lai, Michael J Tuvim, Jeremy Leitz, John Peters, Richard A Pfuetzner, Luis Esquivies, Qiangjun Zhou, Barbara Czako, Jason B Cross, Philip Jones, Burton F Dickey, Axel T Brunger

Faculty, Staff and Student Publications

The so-called primary interface between the SNARE complex and synaptotagmin-1 (Syt1) is essential for Ca2+-triggered neurotransmitter release in neuronal synapses. The interacting residues of the primary interface are conserved across different species for synaptotagmins (Syt1, Syt2, Syt9), SNAP-25, and syntaxin-1A homologs involved in fast synchronous release. This Ca2+-independent interface forms prior to Ca2+-triggering and plays a role in synaptic vesicle priming. This primary interface is also conserved in the fusion machinery that is responsible for mucin granule membrane fusion. Ca2+-stimulated mucin secretion is mediated by the SNAREs syntaxin-3, SNAP-23, VAMP8, Syt2, and other proteins. Here, we designed and screened a …

Exploiting Induced Vulnerability To Overcome Parpi Resistance And Clonal Heterogeneity In Brca Mutant Triple-Negative Inflammatory Breast Cancer, David J H Shih, Mei-Kuang Chen, Jun Yin, Daniel J Mcgrail, Hui Dai, Rongbin Wei, Jing Zhang, Wenjin Jim Zheng, Kim-Anh Do, Liuqing Yang, Mien-Chie Hung, Shiaw-Yih Lin

Faculty, Staff and Student Publications

Acquired resistance and clonal heterogeneity are critical challenges in cancer treatment, and the lack of effective computational tools hampers the discovery of new treatments to overcome resistance. Using high-throughput transcriptomic databases of compound perturbation profiles, we have developed a bioinformatic strategy for identifying candidate drugs to overcome resistance with combinatorial therapy. We devised this strategy during an investigation into the acquired resistance against PARP inhibitors (PARPi) in a triple-negative inflammatory breast cancer cell line. In this study, we derived multiple PARPi-resistant clones and characterized their transcriptomic adaptations compared to the parental clone. The transcriptomes of the resistant clones showed substantial …

The Current Status And Shortcomings Of Stereotactic Radiosurgery, Hunter Mehrens, Trang Nguyen, Sharbacha Edward, Shannon Hartzell, Mallory Glenn, Daniela Branco, Nadia Hernandez, Paola Alvarez, Andrea Molineu, Paige Taylor, Stephen Kry

Faculty, Staff and Student Publications

Background: Stereotactic radiosurgery (SRS) is a common treatment for intracranial lesions. This work explores the state of SRS treatment delivery to characterize current treatment accuracy based on treatment parameters.

Methods: NCI clinical trials involving SRS rely on an end-to-end treatment delivery on a patient surrogate (credentialing phantom) from the Imaging and Radiation Oncology Core (IROC) to test their treatment accuracy. The results of 1072 SRS phantom irradiations between 2012 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom performance. The following categories were evaluated in terms of how they predicted …

Application Of Artificial Intelligence To Plasma Metabolomics Profiles To Predict Response To Neoadjuvant Chemotherapy In Triple-Negative Breast Cancer, Ehsan Irajizad, Ranran Wu, Jody Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathym, Vicente Valero, Senthil Damodaran, Gaiane M Rauch, Beatriz Adrada, Rosalind Candelaria, Jason B White, Abenaa Brewster, Banu Arun, James P Long, Kim Anh Do, Sam Hanash, Johannes F Fahrmann

Faculty, Staff and Student Publications

There is a need to identify biomarkers predictive of response to neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). We previously obtained evidence that a polyamine signature in the blood is associated with TNBC development and progression. In this study, we evaluated whether plasma polyamines and other metabolites may identify TNBC patients who are less likely to respond to NACT. Pre-treatment plasma levels of acetylated polyamines were elevated in TNBC patients that had moderate to extensive tumor burden (RCB-II/III) following NACT compared to those that achieved a complete pathological response (pCR/RCB-0) or had minimal residual disease (RCB-I). We further applied …

Automated Segmentation Of Colorectal Liver Metastasis And Liver Ablation On Contrast-Enhanced Ct Images, Brian M Anderson, Bastien Rigaud, Yuan-Mao Lin, A Kyle Jones, Hynseon Christine Kang, Bruno C Odisio, Kristy K Brock

Faculty, Staff and Student Publications

Objectives: Colorectal cancer (CRC), the third most common cancer in the USA, is a leading cause of cancer-related death worldwide. Up to 60% of patients develop liver metastasis (CRLM). Treatments like radiation and ablation therapies require disease segmentation for planning and therapy delivery. For ablation, ablation-zone segmentation is required to evaluate disease coverage. We hypothesize that fully convolutional (FC) neural networks, trained using novel methods, will provide rapid and accurate identification and segmentation of CRLM and ablation zones.

Methods: Four FC model styles were investigated: Standard 3D-UNet, Residual 3D-UNet, Dense 3D-UNet, and Hybrid-WNet. Models were trained on 92 patients from …

Metal Coordinating Inhibitors Of Rift Valley Fever Virus Replication, Elizabeth Geerling, Mohamed Elagawany, Bahaa Elgendy, Et Al

2020-Current year OA Pubs

Rift Valley fever virus (RVFV) is a veterinary and human pathogen and is an agent of bioterrorism concern. Currently, RVFV treatment is limited to supportive care, so new drugs to control RVFV infection are urgently needed. RVFV is a member of the order Bunyavirales, whose replication depends on the enzymatic activity of the viral L protein. Screening for RVFV inhibitors among compounds with divalent cation-coordinating motifs similar to known viral nuclease inhibitors identified 47 novel RVFV inhibitors with selective indexes from 1.1-103 and 50% effective concentrations of 1.2-56 μM in Vero cells, primarily α-Hydroxytropolones and N-Hydroxypyridinediones. Inhibitor activity and selective …

Recent Advances On Dna Base Flipping: A General Mechanism For Writing, Reading, And Erasing Dna Modifications, Ren Ren, John R Horton, Samuel Hong, Xiaodong Cheng

Faculty, Staff and Student Publications

The modification of DNA bases is a classic hallmark of epigenetics. Four forms of modified cytosine-5-methylcytosine, 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine-have been discovered in eukaryotic DNA. In addition to cytosine carbon-5 modifications, cytosine and adenine methylated in the exocyclic amine-N4-methylcytosine and N6-methyladenine-are other modified DNA bases discovered even earlier. Each modified base can be considered a distinct epigenetic signal with broader biological implications beyond simple chemical changes. Since 1994, several crystal structures of proteins and enzymes involved in writing, reading, and erasing modified bases have become available. Here, we present a structural synopsis of writers, readers, and erasers of the modified …

Use Of The Fully Spectroscopic Pixelated Cadmium Telluride Detector For Benchtop X-Ray Fluorescence Computed Tomography, Sandun Jayarathna, Hem Moktan, Sang Hyun Cho

Faculty, Staff and Student Publications

In this work, we integrated a commercially-available fully-spectroscopic pixelated cadmium telluride (CdTe) detector system as a two-dimensional (2D) array detector into our existing benchtop cone-beam x-ray fluorescence computed tomography (XFCT) system. After integrating this detector, known as High-Energy X-ray Imaging Technology (HEXITEC), we performed quantitative imaging of gold nanoparticle (GNP) distribution in a small animal-sized phantom using our benchtop XFCT system. Owing to the upgraded detector component within our benchtop XFCT system, we were able to conduct this phantom imaging in an unprecedented manner by volumetric XFCT scans followed by XFCT image reconstruction in 3D. The current results showed that …

Cell-Directed Aptamer Therapeutic Targeting For Cancers Including Those Within The Central Nervous System, Jun Wei, Renduo Song, Aria Sabbagh, Anantha Marisetty, Neal Shukla, Dexing Fang, Hinda Najem, Martina Ott, James Long, Lijie Zhai, Maciej S Lesniak, Charles David James, Leonidas Platanias, Michael Curran, Amy B Heimberger

Faculty, Staff and Student Publications

Osteopontin (OPN) is produced by tumor cells as well as by myeloid cells and is enriched in the tumor microenvironment (TME) of many cancers. Given the roles of OPN in tumor progression and immune suppression, we hypothesized that targeting OPN with aptamers that have high affinity and specificity could be a promising therapeutic strategy. Bi-specific aptamers targeting ligands for cellular internalization were conjugated to siRNAs to suppress OPN were created, and therapeutic leads were selected based on target engagement and

Impact Of Psychosocial, Behavioral And Lifestyle Factors On Subjective Cognitive Complaints And Perceived Quality Of Life In A Large Cohort Of Italian Breast Cancer Patients, Thomas West, Corrado Cavallero, Rita Ceccherini, Silva Foladore, Daniele Generali, Francesco Versace, Bruna Scaggiante

Faculty, Staff and Student Publications

The impact of psychosocial and behavioral factors on Cancer Related Cognitive Impairment manifestations is still under debate. Study's purpose is to determine the prevalence rate of cancer related cognitive impairment in a cohort of Italian breast cancer patients and to evaluate the implication of specific behavioral factors. For these purposes, a total of 233 women (106 breast cancer patients and 127 age-matched controls without oncological diagnosis) completed a questionnaire investigating cognitive functionality (FACT-Cog v3.0), sociodemographic characteristics, clinical information, psychosocial and behavioral factors (cognitive reserve, sleep quality, dietary habits, physical activity). The results indicated a higher prevalence rate of subjective cognitive …

Comparing The Assessment Knowledge And Self-Efficacy Of Science, Technology, Engineering, And Mathematics Faculty With Faculty From Other Disciplines, Karen Elizabeth Braley

Walden Dissertations and Doctoral Studies

Based on reported success and retention rates, there is a need to improve education in 2-year colleges for science, technology, engineering, and mathematics (STEM) majors. Instructors’ assessment knowledge and self-efficacy have not been studied in 2-year or STEM higher education. The problem addressed in this study was that scholars do not know the extent of differences in assessment knowledge and assessment self-efficacy of STEM and non-STEM faculty that could be a contributing factor in student success rates. The purpose of this quantitative study was to determine the extent of differences in STEM and non-STEM instructor assessment knowledge and self-efficacy as …

Mothers’ Perceptions Of Quality Of Life After A Prison Nursery Program, Gwendolyn D. Burke

Walden Dissertations and Doctoral Studies

AbstractRoughly 1,400 babies are born annually to incarcerated women in the United States. A few mothers keep their babies with them in a prison nursery program. Most incarcerated women return to living in a community setting. The purpose of this qualitative study was to explore the experience of mothers transitioning from a prison nursery program to a community-based program with their prison-born child and their perception of their quality of life (QOL) postincarceration. Sen’s capability approach of well-being, including a multidimensional measure of QOL, was the theoretical foundation for this study. In-depth semistructured interviews were used to explore the experience …

Understanding Effective Parental Involvement Activities Across Ses, Monique Antoinette Carrington Young

Walden Dissertations and Doctoral Studies

Parental involvement is pivotal for impoverished middle school students to achieve academic achievement. The purpose of this study was to evaluate the relationship of parental involvement activities and academic achievement for impoverished middle school students. Epstein’s six parental involvement types was the theoretical framework for the research study. The six independent variables of parental involvement were parenting, volunteering, learning at home, decision making, communicating, and collaborating with community The relationship for each parental involvement activated to academic achievement as measured by grade point average was evaluated. A quantitative research design was applied using archival data from the U.S. Department of …

Leadership Styles And Rn Turnover Intentions In Long-Term Care Facilities, Kelli M. Casey

Walden Dissertations and Doctoral Studies

Employee turnover is a concern for leaders in the nursing home industry because employees with turnover intentions may negatively impact the continuity of operations and strategic plans, resulting in poor quality of care for residents. Grounded in House's path-goal theory, the purpose of this quantitative, correlational study was to examine the relationship among idealized attributes, idealized behaviors, inspirational motivation, intellectual stimulation, individualized consideration, contingent reward, management by exception-active management by exception-passive, and turnover intentions in RNs. The independent variables were the subcategories of transformational and transactional leadership. The dependent variable was turnover intentions. Participants included 110 nonmanagement RNs working in …

Small Construction Business Owners’ Strategies To Reduce Voluntary Employee Turnover., Joel Chagadama

Walden Dissertations and Doctoral Studies

Voluntary employee turnover has caused considerable damage to small construction businesses, significantly affecting productivity, profitability, and sustainability. Small construction business owners who lack strategies to reduce voluntary employee turnover may lose experience and valuable knowledge among their employees, negatively impacting the team’s ability to perform. Grounded in the job embeddedness theory, the purpose of this qualitative multiple case study was to explore strategies small construction business owners use to reduce voluntary employee turnover. Participants were four successful small construction business owners in Virginia who successfully implemented strategies that reduced voluntary employee turnover by 75% over 5 years. Data were collected …

Caregiver Perceptions Of The Helping Families In Mental Health Crisis Act, Odinakachi Chigewe

Walden Dissertations and Doctoral Studies

Caregivers often experience increased stress when raising children who have a mental illness. Awareness of the various challenges caregivers face enables the offering of improved support. The Helping Families in Mental Health Crisis Act of 2016 (HR2646) improves and raises the profile of mental health within the government chart. This qualitative phenomenological study was guided by questions aimed at identifying caregiver perceptions of The Act and understanding caregiver input and opinions on the impact of this policy. Howlett’s five stream framework of the policy process and Kingdon’s multiple streams model provide the theoretical framework for this study. Individual telephonic interviews …

Physician Authentic Leadership As Health Care Managers And Its Impact On Subordinates’ Ethical Strength, Eddie M. Christian

Walden Dissertations and Doctoral Studies

Physicians exercising the characteristics of authentic leaders may be better equipped to affect the ethical strength of health care staff and provide a vehicle for reducing corruption in the health care industry. This position suggests that physicians practicing with these particular qualities are more effective than those who are not genuine, transparent, or committed to maintaining emotional balance in their work relations. The purpose of this quantitative correlational study was to determine whether physician authentic leadership (AL) moderated the relationship between physician emotional intelligence (EI) and the moral potency of their billing and codes managers. Survey data were collected from …

The Longevity Of A Law Enforcement Career Post Critical Incident, Alyce E. Clark

Walden Dissertations and Doctoral Studies

Law enforcement officers experience traumatic events that can have an impact on their health and their career. Regardless of the continued research on police and mental health, challenges persist. The stigma is that law enforcement officers are tough and keep their emotions to themselves; however, they are human, like the community they serve. Due to possible consequences related to officers discussing having mental health problems after critical incidents, police officers may be reluctant to seek help due to backlash. Interviews were completed in a two-tier format that led to follow-up questions with surveys specifically related to alcohol and burnout found …

Parenting Style Influence On Future Criminal Behaviors Among Adopted Children In Mozambique, Neidi De Carvalho

Walden Dissertations and Doctoral Studies

Adoption is the process by which an adult legally becomes the parent of a child. This results in the child having the protection of a family and the same rights as a biological child. In Mozambique, there is a lack of research concerning the parenting practices of adoptive parents. This study was conducted to identify the parenting styles of Mozambican adoptive parents to determine if these parenting practices affect the well-being of the adopted child. In this qualitative study, data were collected through virtual interviews with four adoptive parents. Interviews were transcribed manually, and participants confirmed the accuracy of the …

How Social Workers Contribute To Outcomes Of Adolescent Participants In Wilderness Programs, Tracy Dockler

Walden Dissertations and Doctoral Studies

The wilderness environment has become recognized as a viable treatment modality for addressing the psychosocial and behavioral needs of treatment-resistant adolescents. Even though social workers provide services in these specialized programs, little is known about how they perceive the contributions they make to the outcomes of the adolescent participants. The conceptual framework of wilderness treatment with a focus on the wilderness experience, as well as on the physical, social, and psychosocial aspects of participant functioning guided this study. In this qualitative study, a semistructured interview guide was used to elicit the thoughts of five master’s level social workers (MSWs) regarding …

Leadership Strategies To Motivate And Retain Employees In Small And Medium Enterprises, Shirley Jean Doescher

Walden Dissertations and Doctoral Studies

Organizational leaders find it challenging to determine what leadership strategies motivate and retain employees in their company, especially during a pandemic. Not knowing which leadership strategies would successfully motivate employees leads to higher turnover, less profitability, and higher costs to replace employees. Grounded in transformational leadership theory, the purpose of this multiple case study was to explore strategies corporate leaders use to motivate and retain employees in small and medium businesses (SMEs) in southeastern Wisconsin (WI). Data were collected from semi-structured interviews with eight participants from eight SMEs of southeast WI, as well as analyzing company documents. Yin’s 5-step process …