The Underutilization of Lifestyle Modifications in Primary Care Medicine

Jean-Marc Lucas(Jean-Marc Lucas ),Karl F. Kozlowski(Karl F. Kozlowski ) 사피엔시아 2019 Exercise Medicine Vol.3 No.-

Chronic disease accounts for the majority of deaths in the United States and is often attributed to obesity. A sedentary lifestyle and poor nutrition are primary contributing factors to the development of obesity and thus chronic disease. Primary care providers are optimally positioned to prescribe exercise and nutrition (lifestyle medicine) as a treatment for chronic disease. Unfortunately, this opportunity seems to be regularly lost. Primary care providers often rely too heavily on weight loss pharmaceuticals and bariatric surgeries to treat obesity. This treatment approach however also does little to prevent and treat the accumulation of chronic diseases. The purpose of this review was to evaluate the efficacy of conventional medical weight loss treatments and determine why primary care providers may not prescribe exercise and nutrition more frequently. Our findings suggest that some primary care providers may be uncomfortable prescribing lifestyle medicine as they receive little formal education in this field. In conclusion, prescription of exercise and nutrition by primary care providers may elicit greater long-term weight loss than current medical weight management practices. Medical management is most likely effective when combined with lifestyle medicine. We propose that primary care providers be better trained in lifestyle medicine through their formal and clinical education. Rates of chronic disease accumulation may potentially decrease if providers prescribe lifestyle medical treatments more frequently.

The effect of repeated surface treatment of zirconia on its bond strength to resin cement

Lucas Campagnaro Maciel,Marina Amaral,Daher Antonio Queiroz,Kusai Baroudi,Laís Regiane Silva-Concílio 대한치과보철학회 2020 The Journal of Advanced Prosthodontics Vol.12 No.5

PURPOSE. The aim of this study is to evaluate the influence of repeated surface treatments on wettability and surface roughness for zirconia surface and bond strength of zirconia-based ceramics to resin cement. MATERIALS AND METHODS. Seventy blocks (10 × 10 × 3 mm) of zirconia-based ceramics were fabricated and divided into two groups according to the surface treatments: (A) 110 μm Al2O3 airborne-particle abrasion and (R) 110 μm silica modified Al2O3 airborne-particle abrasion. At stage 2, each group was subdivided into 5 groups according to the surface retreatments: (a) 110 μm Al2O3 airborne-particle abrasion, (r) 110 μm silica modified Al2O3 airborne-particle abrasion, (D) diamond bur, (Da) diamond bur + 110 μm Al2O3 airborne-particle abrasion, and (Dr) diamond bur + 110 μm silica modified Al2O3 airborne-particle abrasion. Cylinders of self-adhesive resin cement were cemented onto each treated ceramic surface and subjected to micro-shear bond strength test. Additional specimens were prepared for roughness and wettability analyses. The data were subjected to t-test and One-way ANOVA followed by Tukey’s post hoc test (α=.05). RESULTS. At stage 1, group R presented higher bond strength values than group A (P=.000). There was a statistically significant increase of bond strength at stage 2 for group A (P=.003). The diamond bur influenced the surface roughness, increasing the values (P=.023). Group R provided better wettability. Regardless of the applied surface treatment, most of failures were adhesive. CONCLUSION. The combination of application and reapplication of Rocatec Plus showed the best results of bond strength. Surface retreatment and recementation might be an indicated clinical strategy.

La Luna

Lucas Redondo Bonet 한국디자인학회 2019 한국디자인학회 국제초대전도록 Vol.2019 No.6

Using Workers' Compensation Claims Data to Describe Nonfatal Injuries among Workers in Alaska

Lucas, Devin L.,Lee, Jennifer R.,Moller, Kyle M.,O'Connor, Mary B.,Syron, Laura N.,Watson, Joanna R. Occupational Safety and Health Research Institute 2020 Safety and health at work Vol.11 No.2

Background: To gain a better understanding of nonfatal injuries in Alaska, underutilized data sources such as workers' compensation claims must be analyzed. The purpose of the current study was to utilize workers' compensation claims data to estimate the risk of nonfatal, work-related injuries among occupations in Alaska, characterize injury patterns, and prioritize future research. Methods: A dataset with information on all submitted claims during 2014-2015 was provided for analysis. Claims were manually reviewed and coded. For inclusion in this study, claims had to represent incidents that resulted in a nonfatal acute traumatic injury, occurred in Alaska during 2014-2015, and were approved for compensation. Results: Construction workers had the highest number of injuries (2,220), but a rate lower than the overall rate (34 per 1,000 construction workers, compared to 40 per 1,000 workers overall). Fire fighters had the highest rate of injuries on the job, with 162 injuries per 1,000 workers, followed by law enforcement officers with 121 injuries per 1,000 workers. The most common types of injuries across all occupations were sprains/strains/tears, contusions, and lacerations. Conclusion: The successful use of Alaska workers' compensation data demonstrates that the information provided in the claims dataset is meaningful for epidemiologic research. The predominance of sprains, strains, and tears among all occupations in Alaska indicates that ergonomic interventions to prevent overexertion are needed. These findings will be used to promote and guide future injury prevention research and interventions.

Exploring the Potential of Push Notification in ESL : A Qualitative Inquiry

Lucas Kohnke,Di Zou,Eric Ho,Eric Ho 아시아영어교육학회 2021 The Journal of Asia TEFL Vol.18 No.3

Dental students’ ability to detect maxillary sinus abnormalities: A comparison between panoramic radiography and cone-beam computed tomography

Lucas de Paula Lopes Rosado,Izabele Sales Barbosa,Sibele Nascimento de Aquino,Rafael Binato Junqueira,Francielle Silvestre Verner 대한영상치의학회 2019 Imaging Science in Dentistry Vol.49 No.3

Purpose: To compare the diagnostic ability of undergraduate dental students to detect maxillary sinus abnormalities in panoramic radiographs (PR) and cone-beam computed tomography (CBCT). Materials and Methods: This was a retrospective study based on the evaluation of PR and CBCT images. A pilot study was conducted to determine the number of students eligible to participate in the study. The images were evaluated by 2 students, and 280 maxillary sinuses were assessed using the following categories: normal, mucosal thickening, sinus polyp, antral pseudocyst, nonspecific opacification, periostitis, antrolith, and antrolith associated with mucosal thickening. The reference standard was established by the consensus of 2 oral radiologists based on the CBCT images. The kappa test, receiver operating characteristic curves, and 1-way analysis of variance with the Tukey-Kramer post-hoc test were employed. Results: Intraobserver and interobserver reliability showed agreement ranging from substantial (0.809) to almost perfect (0.922). The agreement between the students’ evaluations and the reference standard was reasonable (0.258) for PR and substantial (0.692) for CBCT. Comparisons of values of sensitivity, specificity, and accuracy showed that CBCT was significantly better (P<0.05). Conclusion: CBCT was better than PR for the detection of maxillary sinus abnormalities by dental students. However, CBCT should only be requested after a careful analysis of PR by students and more experienced professionals.

Distortional Moment Capacity Prediction Analysis of Cold-Formed Rack Section Steel Beams Using the Direct Strength Method (DSM)

Lucas Rabelo Crunivnel,Gregorio Sandro Vieira,Juliano Geraldo Ribeiro Neto 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.6

Due to the wide variety of cross-sections and their good mass/strength ratio, cold-formed steel (CFS) components are gaining prominence among steel structures, although this material is more susceptible to local, distortional, and global buckling. The design procedure based on the direct strength method (DSM) presented in some codes as the Brazilian, the American Iron and Steel Institute, and the Australia/New Zealand (AS/NZ), have been well accepted for estimating simply and safely the moment capacity of beams subject to distortional buckling. However, more recent studies show that DSM design can lead to unsafe moment capacity for beams with a high slenderness factor of distortional buckling. This study analyzes the results from 64 models developed using the fi nite element analyses (FEA) with the Abaqus software to determine the distortional moment capacity of CFS rack type beams. The selection of the specimens in which the distortional buckling mode is predominant (modal participation analysis) was performed through a linear stability analysis using the GBTul software. The nonlinear elastoplastic fi nite element model was created, including initial imperfections, and a parametric study was developed to investigate the infl uence of the slenderness factor of distortional buckling on CFS rack beams' moment capacity. The FEA results were compared with DSM results to verify the accuracy of this method to predict distortional moment capacity. It is shown that, for CFS rack beams subject to uniform bending and distortional buckling with slenderness factor of distortional buckling higher than 1.0, the DSM overestimates the moment capacity.

Fractal dimension analysis as an easy computational approach to improve breast cancer histopathological diagnosis

Lucas Glaucio da Silva,Waleska Rayanne Sizinia da Silva Monteiro,Tiago Medeiros de Aguiar Moreira,Maria Aparecida Esteves Rabelo,Emílio Augusto Campos Pereira de Assis,de Souza Gustavo Torres 한국현미경학회 2021 Applied microscopy Vol.51 No.1

Histopathology is a well-established standard diagnosis employed for the majority of malignancies, including breast cancer. Nevertheless, despite training and standardization, it is considered operator-dependent and errors are still a concern. Fractal dimension analysis is a computational image processing technique that allows assessing the degree of complexity in patterns. We aimed here at providing a robust and easily attainable method for introducing computer-assisted techniques to histopathology laboratories. Slides from two databases were used: A) Breast Cancer Histopathological; and B) Grand Challenge on Breast Cancer Histology. Set A contained 2480 images from 24 patients with benign alterations, and 5429 images from 58 patients with breast cancer. Set B comprised 100 images of each type: normal tissue, benign alterations, in situ carcinoma, and invasive carcinoma. All images were analyzed with the FracLac algorithm in the ImageJ computational environment to yield the box count fractal dimension (Db) results. Images on set A on 40x magnification were statistically different ( p = 0.0003), whereas images on 400x did not present differences in their means. On set B, the mean Db values presented promissing statistical differences when comparing. Normal and/or benign images to in situ and/or invasive carcinoma (all p < 0.0001). Interestingly, there was no difference when comparing normal tissue to benign alterations. These data corroborate with previous work in which fractal analysis allowed differentiating malignancies. Computer-aided diagnosis algorithms may beneficiate from using Db data; specific Db cut-off values may yield ~ 99% specificity in diagnosing breast cancer. Furthermore, the fact that it allows assessing tissue complexity, this tool may be used to understand the progression of the histological alterations in cancer.

Fault diagnosis of rolling bearings using unsupervised dynamic time warping-aided artificial immune system

Lucas Veronez Goulart Ferreira,Laxmi Rathour,Devika Dabke,Fabio Roberto Chavarette,Vishnu Narayan Mishra 한국전산응용수학회 2023 Journal of applied mathematics & informatics Vol.41 No.6

Rotating machines heavily rely on an intricate network of interconnected sub-components, with bearing failures accounting for a substantial proportion (40$\%$ to 90$\%$) of all such failures. To address this issue, intelligent algorithms have been developed to evaluate vibrational signals and accurately detect faults, thereby reducing the reliance on expert knowledge and lowering maintenance costs. Within the field of machine learning, Artificial Immune Systems (AIS) have exhibited notable potential, with applications ranging from malware detection in computer systems to fault detection in bearings, which is the primary focus of this study. In pursuit of this objective, we propose a novel procedure for detecting novel instances of anomalies in varying operating conditions, utilizing only the signals derived from the healthy state of the analyzed machine. Our approach incorporates AIS augmented by Dynamic Time Warping (DTW). The experimental outcomes demonstrate that the AIS-DTW method yields a considerable improvement in anomaly detection rates (up to 53.83$\%$) compared to the conventional AIS. In summary, our findings indicate that our method represents a significant advancement in enhancing the resilience of AIS-based novelty detection, thereby bolstering the reliability of rotating machines and reducing the need for expertise in bearing fault detection.

Economic Growth and Public Debt Threshold: New Evidence from An Emerging Economy

Lucas Sagire,Peter W. Muriu 중앙대학교 경제연구소 2021 Journal of Economic Development Vol.46 No.4

The threshold beyond which debt accumulation hinders economic growth in Kenya has not been established. This paper sought to investigate whether a threshold exists in the country’s debt level and its influence on economic growth beyond the threshold. Using annual data from 1980 to 2018, threshold regression technique and statistical loss functions, we found out that there exists a debt-to-GDP threshold of 55.5%. Beyond the threshold, a 10% increase in debt leads to a 1.4% decline in growth. As such, during periods of high debt, policymakers may have to rely on robust economic growth to ensure debt sustainability.