Graph run-length matrices for histopathological image segmentation

Cataloged from PDF version of article.The histopathological examination of tissue specimens is essential for cancer diagnosis and grading. However, this examination is subject to a considerable amount of observer variability as it mainly relies on visual interpretation of pathologists. To alleviate this problem, it is very important to develop computational quantitative tools, for which image segmentation constitutes the core step. In this paper, we introduce an effective and robust algorithm for the segmentation of histopathological tissue images. This algorithm incorporates the background knowledge of the tissue organization into segmentation. For this purpose, it quantifies spatial relations of cytological tissue components by constructing a graph and uses this graph to define new texture features for image segmentation. This new texture definition makes use of the idea of gray-level run-length matrices. However, it considers the runs of cytological components on a graph to form a matrix, instead of considering the runs of pixel intensities. Working with colon tissue images, our experiments demonstrate that the texture features extracted from "graph run-length matrices" lead to high segmentation accuracies, also providing a reasonable number of segmented regions. Compared with four other segmentation algorithms, the results show that the proposed algorithm is more effective in histopathological image segmentatio

Pazarlamanın Şirketlerin İş Performansı Üzerindeki Etkisi: Bir Literatür Taraması

The technology-based global competition environment that pushes businesses to constructive transformation in order to ensure customer satisfaction has further increased the importance of marketing capabilities in business strategies. The purpose of the literature review is to summarize the previous studies about marketing-financial performance nexus. Studies that were published between 1969 and 2019 could be reached from the EBSCO database were included in the literature review. A significant number of studies conducted in different countries have shown that marketing spending is an investment that creates value for the company and has a positive impact on firm profitability, firm value or firm sales. This study contributes to the literature by summarizing the research findings on the effects of marketing investments on business performance.TR - Dizi

Student induction experiences: Through the lens of gamification

Student induction serves as the first step of the learning journey, helping students understand the resources, facilities, and supporting infrastructures in the learning environment. A positive induction experience helps improve better learning efficacy and boost performance later on. However, students nowadays complain induction as boring, time-wasting and useless. Given the importance of induction, scholars have called for new research, finding a new way to deliver better-quality and more engaging induction. To respond to this call, the current research aims to investigate whether gamification offers better induction experiences to the students. Gamification is the use of game design techniques, game thinking, and game mechanics in a non-game context. Drawing on the student-centred learning theory, we propose that, through the game-play process, students shall feel less stressed but more confident in learning, leading to a more positive learning experience and outcome. Following the same logic, we hypothesise that gamification is positively correlated with the experiences of induction. That is, gamification-empowered induction brings better experiences to the new students. To examine the research hypothesis, we plan to recruit 200 students (research participants) through flyers and noticeboards during the university induction period in September 2023 (Ethics Approval Ref: ETH2223-0198). The recruitment is operated on a voluntary basis and participants can drop out at any time. Participant Information Letter, Consent Form, and other participant protection measures are arranged in line with the guidance of institutional ethics committee. The participants will be randomly assigned into two conditions. In Condition A, participants will receive a conventional induction through a regular teaching classroom. All documents and instructions are communicated through paper-based handouts. Participants will receive a campus map, explaining the location of buildings and respective services. The induction will be completed inside the classroom. In Condition B, participants will receive gamification-empowered induction. All documents and instructions are communicated through a gamification APP (to be installed in participants’ mobiles). To complete the induction, participants must visit the designated locations in the campus, exploring the services in person. To further understand participants' views and experiences of the induction, we plan to collect data through anonymous questionnaires surveys at the end of induction. Condition A will receive questions through web-based surveys, where Condition B will receive questions through APP-based surveys. Both conditions will receive the same survey questions, and Condition B will receive additional questions of APP-user experiences (A copy of the survey questions is enclosed in appendix). The data collected will be analysed and compared through SPSS and Excel software. Research findings will first and foremost examine whether gamification-empowered induction offers better induction experiences to the students. The answers will bring new insights to the gamification-induction literatures. Research findings will be important to the teaching practitioners and policy makers, particularly for those who wish to create better induction programmes through innovative strategies. Implications on induction design and delivery will be clarified. Research limitation and suggestions for future research will also be discussed

Cerebral Amyloid and Hypertension are Independently Associated with White Matter Lesions in Elderly.

In cognitively normal (CN) elderly individuals, white matter hyperintensities (WMH) are commonly viewed as a marker of cerebral small vessel disease (SVD). SVD is due to exposure to systemic vascular injury processes associated with highly prevalent vascular risk factors (VRFs) such as hypertension, high cholesterol, and diabetes. However, cerebral amyloid accumulation is also prevalent in this population and is associated with WMH accrual. Therefore, we examined the independent associations of amyloid burden and VRFs with WMH burden in CN elderly individuals with low to moderate vascular risk. Participants (n = 150) in the Alzheimer's Disease Neuroimaging Initiative (ADNI) received fluid attenuated inversion recovery (FLAIR) MRI at study entry. Total WMH volume was calculated from FLAIR images co-registered with structural MRI. Amyloid burden was determined by cerebrospinal fluid Aβ1-42 levels. Clinical histories of VRFs, as well as current measurements of vascular status, were recorded during a baseline clinical evaluation. We tested ridge regression models for independent associations and interactions of elevated blood pressure (BP) and amyloid to total WMH volume. We found that greater amyloid burden and a clinical history of hypertension were independently associated with greater WMH volume. In addition, elevated BP modified the association between amyloid and WMH, such that those with either current or past evidence of elevated BP had greater WMH volumes at a given burden of amyloid. These findings are consistent with the hypothesis that cerebral amyloid accumulation and VRFs are independently associated with clinically latent white matter damage represented by WMHs. The potential contribution of amyloid to WMHs should be further explored, even among elderly individuals without cognitive impairment and with limited VRF exposure