Breast tumor diagnosis in digital mammograms

Breast cancer has been classified as the most common cancer in most part of the world [1]. Breast cancer is caused by the growth of the abnormal cells in the breast. Breast cancer not only develops in women but also on men. However, the incidents of breast cancer in women are more common than men. Breast cancer is dangerous and may take away one’s life if there is no early detection and treatment are not done to remove the cancer cell present in the breast. Although the prevention methods for breast cancer may be unclear, it is found out that the earlier the detection and treatment conducted to the patients, the higher the survivability of the patients. Digital mammography is a specific type of breast imaging that uses low-dose x-rays to detect cancer early especially before women experience any symptoms [2]. The early signs of breast cancer can be detected in mammograms. Hence, digital mammograms have been classified as one of the best methods to detect breast cancer. In the studies [2] has shown that digital mammograms produce a better result than film mammograms in a group of young women, premenopausal and perimenopausal women, and women with dense breasts. 335 women were found to be infected with breast cancer in the test. However, there is also a limitation present in digital mammograms. High breast density can affect the performance of diagnosis in digital mammography as it increases the difficulty in finding abnormalities in a mammogram. Digital mammograms are only able to yield the best accuracy in the result for the women who are under the age of 50 and absent from menopause or undergoes menopause in a period of less than one year

Forecasting electricity consumption using SARIMA method in IBM SPSS software

Forecasting is a prediction of future values based on historical data. It can be conducted using various methods such as statistical methods or machine learning techniques. Electricity is a necessity of modern life. Hence, accurate forecasting of electricity demand is important. Overestimation will cause a waste of energy but underestimation leads to higher operation costs. Univesity Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian technical university, therefore there is a need to forecast UTHM electricity consumption for future decisions on generating electric power, load switching, and infrastructure development. The monthly UTHM electricity consumption data exhibits seasonality-periodic fluctuations. Thus, the seasonal Autoregressive Integrated Moving Average (SARIMA) method was applied in IBM SPSS software to predict UTHM electricity consumption for 2019 via Box-Jenkins method and Expert Modeler. There were a total of 120 observations taken from January year 2009 to December year 2018 to build the models. The best model from both methods is SARIMA(0, 1, 1)(0, 1, 1)12. It was found that the result through the Box-Jenkins method is approximately the same with the result generated through Expert Modeler in SPSS with MAPE of 8.4%

Healthy Options: A Community-Based Program to Address Food Insecurity

The objectives of this study are to better understand the lived experience of food insecurity in our community and to examine the impact of a community-based program developed to increase access to local, healthy foods. Participants were given monthly vouchers to spend at local farmers’ markets and invited to engage in a variety of community activities. Using a community-based participatory research framework, mixed methods were employed. Survey results suggest that most respondents were satisfied with the program and many increased their fruit and vegetable consumption. However, over 40% of respondents reported a higher level of stress over having enough money to buy nutritious meals at the end of the program. Photovoice results suggest that the program fostered cross-cultural exchanges, and offered opportunities for social networking. Building upon the many positive outcomes of the program, community partners are committed to using this research to further develop policy-level solutions to food insecurity

Freshman Connection Mentorship Program

This workshop will present the Freshman Connection mentorship program and its impact on freshman students at Eastern Illinois University. The program focuses on building inclusivity at EIU and supporting students from all backgrounds, like commuters and first generation students. The data will also highlight leadership opportunities and benefits of the program

Developing Engaged Scholars: The Graduate Advisor-Advisee Relationship

A critical dimension in the development of emerging engaged scholars is the advisor-advisee relationship. A multiyear, multiuniversity study of doctoral students interested in community-engaged scholarship and their advisors found that advisors influenced their advisees’ specific approach to community engagement; advisees built extensively on their own community-based experiences and even pushed their advisors in co-learning about communityengaged scholarship; and advisors and advisees shared recognition of lack of support for community engagement but pursued it anyway

Fruit and Vegetable Bucks: Adams County Grocery Store Snap Incentive Program

Veggie Bucks provides a 50% discount on all fresh fruits and vegetables sold through Kennie’s Market produce department at the point of sale for the 5 highest cost items. The incentive period ran January - April, 2017. Intended outcomes include an increase in the number of fresh fruits and vegetables purchased by SNAP recipients at Kennie’s Market locations in Biglerville and Gettysburg by 10% in January-April 2017 compared to baseline figures obtained in 2016, and to familiarize SNAP recipients with fresh fruits and vegetables and to provide information about the ACFMA markets’ Double Dollars program. SNAP recipients were invited to sign up for the program upon showing their ID and EBT card and were provided a Kennie\u27s Frequent Shopper card if they did not have one already

Activin-A and Bmp4 Levels Modulate Cell Type Specification during CHIR-Induced Cardiomyogenesis

The use of human pluripotent cell progeny for cardiac disease modeling, drug testing and therapeutics requires the ability to efficiently induce pluripotent cells into the cardiomyogenic lineage. Although direct activation of the Activin-A and/or Bmp pathways with growth factors yields context-dependent success, recent studies have shown that induction of Wnt signaling using low molecular weight molecules such as CHIR, which in turn induces the Activin-A and Bmp pathways, is widely effective. To further enhance the reproducibility of CHIR-induced cardiomyogenesis, and to ultimately promote myocyte maturation, we are using exogenous growth factors to optimize cardiomyogenic signaling downstream of CHIR induction. As indicated by RNA-seq, induction with CHIR during Day 1 (Days 0–1) was followed by immediate expression of Nodal ligands and receptors, followed later by Bmp ligands and receptors. Co-induction with CHIR and high levels of the Nodal mimetic Activin-A (50–100 ng/ml) during Day 0–1 efficiently induced definitive endoderm, whereas CHIR supplemented with Activin-A at low levels (10 ng/ml) consistently improved cardiomyogenic efficiency, even when CHIR alone was ineffective. Moreover, co-induction using CHIR and low levels of Activin-A apparently increased the rate of cardiomyogenesis, as indicated by the initial appearance of rhythmically beating cells by Day 6 instead of Day 8. By contrast, co-induction with CHIR plus low levels (3–10 ng/ml) of Bmp4 during Day 0–1 consistently and strongly inhibited cardiomyogenesis. These findings, which demonstrate that cardiomyogenic efficacy is improved by optimizing levels of CHIR-induced growth factors when applied in accord with their sequence of endogenous expression, are consistent with the idea that Nodal (Activin-A) levels toggle the entry of cells into the endodermal or mesodermal lineages, while Bmp levels regulate subsequent allocation into mesodermal cell types

Analisis Tingkat Kepuasan Pelanggan Terhadap Pelayanan Apotek Kimia Farma Jakarta Menggunakan Model Servqual (Studi Kasus Pada Tiga Apotek)

Since policy sector pharmaceutical affairs 1993 by government about deregulations sector community pharmacy, competition business community pharmacy in Jakarta was very strict. For win something this competitions, Kimia Farma communitypharmacy as the biggest community pharmacy network in Indonesia have propagan-dized vision be the foremost business networking community pharmacy in Indonesiaand mission first-rate services for customers with customer satisfaction. The objec-tive of this research is detect satisfaction level of service quality of Kimia Farma community pharmacy Jakarta, in particular Kimia Farma community pharmacy -1Kemayoran, Kimia Farma community pharmacy-48 Matraman, Kimia Farma com-munity pharmacy-147 Duren Sawit. Beside This research also objective for knowed vision, mission of Kimia Farma community pharmacy was reached. This researchusing survey method with quisionaire Single Cross Sectional Study approaches.Research using Servqual (Service Quality) model was  discovered by Parasuraman, Zeithaml and Berry use five dimensions of service quality, that was tangible, reli-ability, responsiveness, assurance, and emphaty. Satisfaction level measured with Gap analysis that was difference expectation before customer receiving the service and perception after that; and Cartesian Diagram analysis, that was mapping atributservice quality on Cartesian Diagram. Analysis difference on customer satisfaction within community pharmacy used analysis varian (Anova). Result: dimension that highest satisfaction level was emphaty (gap -0.37 or satisfactions levels 91.88 %);attribute that highest satisfaction level was well designed interior/exterior building (gap -0.14 or satisfaction levels 96.4 %). Mapping attribute on Cartesian Diagram majority on quadrat B, means service quality Kimia Farma community pharmacy was sufficient. Based on hypothesis test, was not difference significant satisfactions level Kimia Farma community pharmacy was research (alpha > 0.05). Conclusions:generally satisfactions level Kimia Farma community pharmacy that researched nearly satisfy, with satisfaction levels within community pharmacy was not significant difference

Image processing and machine learning techniques used in computer-aided detection system for mammogram screening - a review

This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with regular screening. Till now mammography is the widely used breast imaging modality. CAD systems have been adopted by the radiologists to increase the accuracy of the breast cancer diagnosis by avoiding human errors and experience related issues. This study reveals that in spite of the higher accuracy obtained by the earlier proposed CAD systems for breast cancer diagnosis, they are not fully automated. Moreover, the false-positive mammogram screening cases are high in number and over-diagnosis of breast cancer exposes a patient towards harmful overtreatment for which a huge amount of money is being wasted. In addition, it is also reported that the mammogram screening result with and without CAD systems does not have noticeable difference, whereas the undetected cancer cases by CAD system are increasing. Thus, future research is required to improve the performance of CAD system for mammogram screening and make it completely automated

Efficacy of Revefenacin in treatment of moderate-to-very-severe Chronic Obstructive Pulmonary Disease: a systematic review and meta-analysis

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a major global health issue responsible for 5% of global deaths each year, and novel treatments are at a premium. Long acting-muscarinic antagonists are a standard treatment for COPD, and the recent approval of Revefenacin, a novel, once-daily, nebulized LAMA, prompts a need for a systematic review and meta-analysis of results. OBJECTIVES: To assess the efficacy of Revefenacin, a novel, once-daily, nebulized LAMA in the treatment of moderate to very severe COPD. DATA SOURCES: MEDLINE (OVID), EMBASE, and CINAHL databases, as well as grey literature sources Clinicaltrials.gov and the International Clinical Trials Registry Portal. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: No age, geographical, contextual or other restrictions were imposed on populations. All human subjects diagnosed with moderate to severe Chronic Obstructive Pulmonary Disease (COPD) were eligible. Intervention: a novel bronchodilator (Revefenacin). Comparator: Placebo. Outcomes: the efficacy of Revefenacin, measured as the endpoint change in trough FEV1 from baseline. Study design: Randomised Controlled Trials (RCTs). Only studies written in English were considered. STUDY APPRAISAL AND SYNTHESIS METHODS: 1571 records were initially screened, with 27 being eligible for full text review. Eventually, 12 articles for 7 trials were included. A random-effects meta-analysis was conducted with the primary outcome of difference in means for change in trough FEV1 from baseline to study endpoint. RESULTS: 1472 patients were analysed, and the overall difference in means was an increase of 119.073 mL in change in trough FEV1 from baseline to study endpoint for the Revefenacin group compared to the placebo. This result was statistically significant, with a 95% confidence interval of 102.254 mL to 135.893 mL. LIMITATIONS: Limitations of the study include possible risk of publication bias and placebo as the only comparator, relatively few trials (7), and a low generalizability of findings due to the specific nature of RCT populations excluding multi-morbid, and other complicated patients. CONCLUSIONS: Revefenacin is an efficacious intervention when compared to placebo in the treatment of moderate to very severe COPD. Further research is needed in order to assess its efficacy compared to current standard of care, through RCTs or network meta-analysis. What is known: - Existing COPD treatments aim to relief symptoms and improve quality of life. - Revefenacin a novel bronchodilator, was approved in 2018 by the US FDA. - Mong-acting muscarinic antagonists are often used in the management of COPD symptoms. What this study adds: - Revefenacin is a novel drug and no systematic review has been conducted on its efficacy. - The meta-analysis utilised a novel method which accounts for the unit-of-analysis error, when comparing multi- arms studies to a single placebo group (technique of exact adjustment