The Peeing Pitcher: An Inquiry-Based, Laboratory Case Study of the Endocrine and Renal Systems

2017 ◽  
Vol 79 (5) ◽  
pp. 387-392
Author(s):  
Parker Stuart ◽  
Kelsey Stuart ◽  
Mark Milanick
Keyword(s):  
Grocery Store ◽  
Diagnostic Methods ◽  
Feedback Systems ◽  
Testing Procedures ◽  
Detection Techniques ◽  
Glucose Levels ◽  
Real World Problem ◽  
Urine Production ◽  
Patient Prognosis

In this inquiry-based lab, students are provided with a case study involving a young boy with a head injury exhibiting various symptoms, as well as simulated blood and urine samples to help diagnose the boy's disease. Throughout the course of the lab, students research, design, and conduct a series of tests culminating in a patient prognosis. All of the materials, which simulate the blood, urine, and testing compounds, are readily available at the grocery store or online. This real-world problem engages the students to think about negative feedback systems, patient symptoms, the hormones associated with blood glucose levels and urine production, as well as the detection techniques employed by physicians to diagnose patients. Diagnostic methods, testing procedures, and the disease itself make this lab extraordinarily relevant to the lives of students, as evidenced by our students’ reactions to the lab.

Are They Bloody Guilty? Blood Doping with Simulated Samples

2014 ◽  
Vol 76 (5) ◽  
pp. 328-332
Author(s):  
Parker E. Stuart ◽  
Kelsey D. Lees ◽  
Mark A. Milanick
Keyword(s):  
News Coverage ◽  
Testing Procedure ◽  
Grocery Store ◽  
Blood Doping ◽  
Detection Techniques ◽  
Real World Problem ◽  
The World ◽  
World Anti Doping Agency ◽  
Blood And Urine Samples ◽  
Olympic Athlete

In this practice-based lab, students are provided with four Olympic athlete profiles and simulated blood and urine samples to test for illegal substances and blood-doping practices. Throughout the course of the lab, students design and conduct a testing procedure and use their results to determine which athletes won their medals fairly. All of the materials, which simulate the blood, urine, and testing compounds, are available at the grocery store. This real-world problem engages students to think about blood doping, hormones associated with red-blood-cell production, and detection techniques employed by the World Anti-Doping Agency. The Olympics, as well as the news coverage of Lance Armstrong’s admission to blood doping in 2013, makes this lab more relevant to students’ lives, which is supported by our students’ reactions to the lab.

Acute mesenteric ischemia with necrosis of entire small intestine

2019 ◽  
Vol 98 (4) ◽  
pp. 174-177
Keyword(s):  
Small Intestine ◽  
Mesenteric Ischemia ◽  
Severe Disease ◽  
Acute Mesenteric Ischemia ◽  
Diagnostic Methods ◽  
Entire Small Intestine ◽  
Common Etiology

The case study describes a case of a patient with acute mesenteric ischemia with necrosis of entire small intestine. In following text there is an overview of the incidence of acute mesenteric ischemia, its most common etiology, diagnostic methods and treatment of this severe disease.

Measuring the Impact of a Full Service Grocery Store in a Food Desert

2021 ◽  
Vol 3 (2) ◽  
pp. 161-176
Author(s):  
Kellie Schneider ◽  
Diana Cuy Castellanos ◽  
Felix Fernando ◽  
Jeanne A. Holcomb
Keyword(s):  
Systems Engineering ◽  
Low Income ◽  
Social Impact ◽  
Food Deserts ◽  
Well Being ◽  
Environmental Indicators ◽  
Grocery Store ◽  
The Impact ◽  
Health And Well Being

Food deserts, areas in which it is difficult to obtain affordable, nutritious food, are especially problematic in low-income neighbourhoods. One model for addressing food hardship and unemployment issues within low-income food deserts is a cooperative grocery store. Through the cooperative model, the grocery store can serve as a cornerstone to address socio-economic marginalisation of low-income neighbourhoods and improve the health and well-being of its residents. It is important for communities and policymakers to be able to assess the effectiveness of these types of endeavours beyond traditional economic factors such as profitability. This article uses a systems engineering approach to develop a framework for measuring the holistic impact of a cooperative grocery store on community health and well-being. This framework encompasses values that characterise the relationship between food retail, economic viability and social equality. We develop a dashboard to display the key metrics for measuring the economic, social and environmental indicators that reflect a grocery store’s social impact. We demonstrate the usefulness of the framework through a case study of a full-service cooperative grocery store that is planned within the city of Dayton, OH.

Gender, store satisfaction and antecedents: a case study of a grocery store

2010 ◽  
Vol 27 (2) ◽  
pp. 114-126 ◽  
Author(s):  
Øyvind Helgesen ◽  
Erik Nesset
Keyword(s):  
Grocery Store

scholarly journals Texture analysis in perfusion images of prostate cancer—A case study

2010 ◽  
Vol 20 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Jacek Śmietański ◽  
Ryszard Tadeusiewicz ◽  
Elżbieta Łuczyńska
Keyword(s):  
Prostate Cancer ◽  
Texture Analysis ◽  
Medical Diagnosis ◽  
Diagnostic Methods ◽  
Tomographic Images ◽  
Perfusion Computed Tomography ◽  
Independent Verification ◽  
Cancerous Lesion ◽  
Difficult Cases

Texture analysis in perfusion images of prostate cancer—A case studyThe analysis of prostate images is one of the most complex tasks in medical images interpretation. It is sometimes very difficult to detect early prostate cancer using currently available diagnostic methods. But the examination based on perfusion computed tomography (p-CT) may avoid such problems even in particularly difficult cases. However, the lack of computational methods useful in the interpretation of perfusion prostate images makes it unreliable because the diagnosis depends mainly on the doctor's individual opinion and experience. In this paper some methods of automatic analysis of prostate perfusion tomographic images are presented and discussed. Some of the presented methods are adopted from papers of other researchers, and some are elaborated by the authors. This presentation of the method and algorithms is important, but it is not the master scope of the paper. The main purpose of this study is computational (deterministic and independent) verification of the usefulness of the p-CT technique in a specific case. It shows that it is possible to find computationally attainable properties of p-CT images which allow pointing out the cancerous lesion and can be used in computer aided medical diagnosis.

scholarly journals Comparison of a PCR-based diagnostic assay for Mycoplasma pulmonis with traditional detection techniques

1994 ◽  
Vol 28 (3) ◽  
pp. 249-256 ◽  
Author(s):  
S. Sanchez ◽  
K. Tyler ◽  
N. Rozengurt ◽  
J. Lida
Keyword(s):  
Diagnostic Methods ◽  
Diagnostic Assay ◽  
Mycoplasma Pulmonis ◽  
Chain Reaction ◽  
Pcr Assay ◽  
Culture Techniques ◽  
Detection Techniques ◽  
Laboratory Rodent ◽  
Polymerase Chain ◽  
Diagnosis Of Infection

Current diagnosis of infection by Mycoplasma pulmonis, an important pathogen of laboratory rodent colonies worlwide, is based on serological, histopathological and culture techniques which can be slow and unreliable. A polymerase chain reaction (PCR) assay for M. pulmonis diagnosis was compared to current diagnostic methods. This PCR based technique allows a more specific, sensitive and rapid diagnosis of M. pulmonis from various tissues by comparison with culture and histopathology.

T1D Hypoglycemia Prediction Algorithms: A Systematic Review (Preprint)

2021 ◽  
Author(s):  
Stella Tsichlaki ◽  
Lefteris Koumakis ◽  
Manolis Tsiknakis
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Digital Libraries ◽  
Predictive Models ◽  
Real Life ◽  
Blood Glucose Monitoring ◽  
Detection Techniques ◽  
Glucose Levels ◽  
Wide Range

BACKGROUND Diabetes is a chronic condition that necessitates regular monitoring and self-management of the patient's blood glucose levels. People with type 1 diabetes (T1D) can live a productive life if they receive proper diabetes care. Nonetheless, a loose glycemic control might increase the risk of developing hypoglycemia. This incident can occur due to a variety of causes, such as taking additional doses of insulin, skipping meals, or over-exercising. Mainly, the symptoms of hypoglycemia range from mild dysphoria to more severe conditions, if not detected in a timely manner. OBJECTIVE In this review, we report on innovative detection techniques and tactics for identifying and preventing hypoglycemic episodes, focusing on type 1 diabetes. METHODS A systematic literature search following the PRISMA guidelines was performed focusing on the “PUBMED”, “Google Scholar”, “IEEE Xplore” and “ACM” digital libraries to find articles about technologies related to hypoglycemia detection in type 1 diabetes patients. RESULTS The presented approaches have been utilized or devised to enhance blood glucose monitoring and boost its efficacy to forecast future glucose levels, which could aid the prediction of future episodes of hypoglycemia. We detected nineteen predictive models for hypoglycemia, specifically on type 1 diabetes, utilizing a wide range of algorithmic methodologies, spanning from statistics (10%) to machine learning (52%) and deep learning (38%). The algorithms employed most are the kalman filtering and classification models (SVM, KNN, random forests). The performance of the predictive models was found overall to be satisfactory, reaching accuracies between 70% and 99% which proves that such technologies are capable to facilitate the prediction of T1D hypoglycemia. CONCLUSIONS It is evident that CGM can improve the glucose control in diabetes but predictive models for hypo- and hyper- glycemia using only mainstream noninvasive sensors such as wristbands and smartwatches are foreseen to be the next step for mHealth in T1D. Prospective studies are required to demonstrate the value of such models in real-life mHealth interventions.

Diagnostic Challenges and Surgical Strategies in Ossification of the Posterior Longitudinal Ligament. Case Study

2021 ◽  
Vol 23 (2) ◽  
pp. 129-137
Author(s):  
Mateusz Pawłowski ◽  
Andrzej Bojda ◽  
Piotr Morasiewicz ◽  
Bogdan Czapiga
Keyword(s):  
Female Patient ◽  
Cervical Myelopathy ◽  
Clinical Case ◽  
Treatment Options ◽  
Posterior Longitudinal Ligament ◽  
European Population ◽  
Diagnostic Methods ◽  
Surgical Strategies

This article presents the case of a female patient suffering from cervical myelopathy due to ossification of the posterior longitudinal ligament (OPLL) which was undiagnosed for a number of years. Besides presenting the clinical case, we describe the pathophysiology, symptoms, diagnostic methods and treatment options related to this condition, which is unusual in the European population.

Vibration-Based Damage Detection Techniques for Health Monitoring of Construction of a Multi-Storey Building

2018 ◽  
Vol 931 ◽  
pp. 178-183 ◽  
Author(s):  
Yuriy Y. Shatilov ◽  
Alexander A. Lyapin
Keyword(s):  
Damage Detection ◽  
Damage Index ◽  
The State ◽  
Diagnostic Methods ◽  
Detection Methods ◽  
Mode Shapes ◽  
Dynamic Parameters ◽  
Labor Costs ◽  
Detection Techniques ◽  
Storey Building

Conducting surveys of multi-storey buildings is a laborious task, because large volumes of visual and instrumental research should be carried out. Reduction of labor costs with an increase in the reliability of information about the state of damage and technical condition is an actual scientific and practical task. One of the ways to solve it is to use non-destructive vibration diagnostic methods. The purpose of carrying out diagnostics with the use of vibration based damage detection methods is to search for damages in structural elements that can cause the deviation of the dynamic parameters of a structure from calculated ones. Determination of the dynamic parameters of the structure, in particular natural frequencies and mode shapes of mechanical systems, is one of the most important tasks that allows obtaining integral information about the state of a structure. This article presents the results of calculations for the localization of slabs defects in a multi-storey building with a transverse crack, span L = 4.5 (m), height H = 0.2 (m), with prestressed reinforcement d = 0.05 (m). Vibration based Damage Index method was used to localize the defect. During the study, reliable localization values of the defect area of the slab were obtained, this indicates that the vibration method for determining the damage index with a sufficient degree of accuracy allowed predicting the site of damage to the structure.

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