Overlay Model Research Articles

Modeling the Desire to have Children Post-Disaster Palu – Indonesian 2018

The impact of a family death, especially on children, causes demographic changes, one of which is the mother's desire to have children. This research problem is how to model with a logistic regression approach and spatial modeling with overlay technique on the desire to have children. The purpose of this study is to model desire to have children with a logistic regression and overlay modeling approach. This research was conducted in Palu City. Participants in this study amounted to 382 mothers with proportional stratified random sampling method as the sampling technique, the data were analyzed using logistic regression modeling and spatial modeling with overlay techniques. In general, the results of logistic regression modeling show a significant effect between the type of disaster and geographical location on the desire to have children after the disaster in Palu City. Mothers who experience disasters (earthquake, tsunami, liquefaction) and live in disaster-prone zones have the opportunity to have children. The results of spatial modeling using the overlay technique show that the parameters of the disaster-affected area have a high priority, indicating that the zone/area of these parameters tends to have children.

Overlay control solution for high aspect ratio etch process induced overlay error

In the semiconductor manufacturing process, especially in the high aspect ratio etch process of 3D NAND, overlay remains a constraint in an increasing device yield. With the increase in 3D layers, the etch process shows extreme inconsistency for different lots with different etch chambers, which makes it difficult to control within the budget. This article gives a systematic analysis on how the overlay feedback model reduces the overlay and which method should be used to reduce the etch-induced overlay residue. The linear and nonlinear inter- and intrafield models are used, and the overlay reduction performance is limited. Then, a correction per exposure (CPE) method is used, which shows the minimum residue. The feedforward overlay method together with the linear and nonlinear CPE method shows the best performance with only 20%–30% overlay residue. Two methods are recommended during the CPE model applied to control overfitting. One is to choose the best CPE order by judging the mark number of each exposure field, and the other is to define the fitting parameter range in a suitable range. Different CPE models are used and compared, and the verification results demonstrate that the suggested method has a great overlay fitting performance and overlay residue even if some parameters are excluded. That is, the study shows a method to balance the process variation, machine performance, feedback model, and metrology data.

DEVELOPMENT OF A FUZZY MODEL OF A STUDENT INTELLIGENT TEACHING SYSTEM OF TECHNICAL DISCIPLINE

The development of computer technology provides great opportunities for modernizing the learning process. Teachers are actively introducing various electronic learning systems, the leading positions among which are occupied by intelligent learning systems. One of the tasks of developing an intelligent learning system is the implementation of dynamic adaptation of educational material to the level of knowledge of students. Therefore, it is necessary that it includes a student model that reflects the characteristics of the student that are important for managing the learning process. The paper describes the development of a fuzzy model of a student in teaching intelligent systems. This model is based on the concept of “student status”, the parameters of which are the level of mastering the discipline and the student’s personal qualities. A distinctive feature of the proposed fuzzy model is the joint use of the stereotypical and overlay models of the student. In addition, the developed fuzzy model is based not only on the assessment of student’s knowledge, but takes into account the personal qualities of students (responsibility, desire for self-learning and development, perseverance, attentiveness, stress tolerance). The paper proposes the use of a fuzzy expert system as a tool for decision support in determining the status of a student. During the operation of the expert system, the characteristics of students are evaluated, which are compared with the rules of the fuzzy rule base. When implementing a logical inference, a student is assigned one of the possible status values (beginner, trainee, master, professional and expert). At the final step, the student is offered to study the theoretical material of the discipline adapted to his characteristics.

Using Geological and Topographic Maps in Site Selection of Solid Waste Disposal

Currently, land shortage for solid waste in most urban areas is a significant and growing potential problem. Although some efforts are made to decrease and recover the waste, landfill is still the most common process for waste disposal. Site selection of solid waste dumping in urban areas is a serious subject because of its huge effect on the economy, ecology, and environmental health. Consequently, several criteria must be created because of the difficulty of the parameters to select the process for combination in social, environmental and technical parameters. In this research, the most appropriate sites for locating dumping garbage are determined using the Geographical Information System (GIS) by implementing both methods Boolean logic model and Index overlay model. Based on several objectives, a provided spatial data set consisting of several maps in the form of layers, such as land use, geological distribution, landslides, etc., were used in the modeling process to choose the best site to dump the garbage of Chinchina city that used as a case in this application. The findings show that the Boolean logic model identified only two areas that met the criteria, whereas the Index overlay model identified three important classes through weight; unsuitable, moderate and suitable regions for construction waste disposal.

Influence of Environmental Factors on the Site Selection and Layout of Ancient Military Towns (Zhejiang Region)

There are many subjective inferences regarding environment-related studies in modern studies of ancient military defense heritage, and the objective quantitative analysis of citadel site selection and layout has become the key to interpreting the environmental adaptability of citadels under defense strategies. Based on this, it has been proposed in this research that the site selection of ancient military citadels in a specific region (Zhejiang) has environmental adaptability characteristics. Firstly, an elevated hydrological overlay model was established by predicting and graphically verifying the ancient hydrological thresholds through geospatial analysis strategies. Secondly, the hydrological and topographical indicators of the regional environment where the military citadel is located were digitally extracted. Finally, correlation and weight influence calculations were performed for different environmental data. The environmental adaptability characteristics of the site layout of the Ming dynasty-era Zhejiang coastal defense military citadel, based on military defense needs, were obtained. In this way, we promote digital technology for the excavation, conservation and sustainable use of heritage resources.

Analytical modelling of ultra-thin white topping cement concrete overlay on bituminous concrete pavement using ANSYS

PurposeThe ultra-thin white topping (UTW) is a cement concrete overlay of the thickness of 50–100 mm on bituminous concrete pavements with surface failures. This is a long-lasting solution without having short-term failures. This paper aims to design an ultra-thin cement concrete overlay using a developed critical stress model with sustainable concrete materials for low-volume roads.Design/methodology/approachIn this research paper, a parametric study was conducted using the ultra-thin concrete overlay finite element model developed with ANSYS software, considering the significant parameters affecting the performance and development. The non-linear regression equation was formed using a damped least-squares method to predict critical stress due to the corner load of 51 kN.FindingsThe parametric study results indicate that with a greater elastic modulus of bituminous concrete, granular layer along with 100 mm thickness of concrete layer reduces the critical corner stress, interface shear stress in a significant way responsible for debonding of concrete overlay, elastic strains in the pavement further the concrete overlay can bear infinite load repetitions. From validation, it is understood that the non-linear regression equation developed is acceptable with similar research work done.Originality/valueFrom the semi-scale experimental study, it is observed that the quaternary blended sustainable concrete overlay having a high modulus of rupture of 6.34 MPa is competent with conventional cement concrete overlay in terms of failure load. So, concrete overlay with sustainable materials of 100 mm thickness and higher elastic modulus of the layers can perform in a sustainable way meeting the environmental and long-term performance requirements.

The evolution, benefits, and challenges of preprints and their interaction with journals

This article presents the growth and development of preprints to help authors, editors, and publishers understand and adopt appropriate strategies for incorporating preprints within their scholarly communication strategies. The article considers: preprint history and evolution, integration of preprints and journals, and the benefits and disadvantages, and challenges that preprints offer. The article discusses the two largest and most established preprint servers, arXiv.org (established in 1991) and SSRN (1994), the OSF (Open Science Foundation) initiative that supported preprint growth (2010), bioRxiv (2013), and medRxiv (2019). It then discusses six different levels of acceptance of preprints within journals: uneasy relationship, acceptance of preprint articles, encouraging authors to preprint their articles, active participation with preprints, submerger by reviewing preprints, and finally merger and overlay models. It is notable that most journals now accept submissions that have been posted as preprints. The benefits of preprints include fast circulation, priority publication, increased visibility, community feedback, and contribution to open science. Disadvantages include information overload, inadequate quality assurance, citation dilution, information manipulation and inflation of results. As preprints become mainstream it is likely that they will benefit authors but disadvantage publishers and journals. Authors are encouraged to preprint their own articles but to be cautious about using preprints as the basis for their own research. Editors are encouraged to develop preprint policies and be aware that double-blind review is not possible with preprinting of articles and that allowing citations to preprints is to be encouraged. In conclusion, journal-related stakeholders should consider preprints as an unavoidable development, taking into consideration both the benefits and disadvantages.

Optimized wavelength selection for diffraction-based overlay measurement by minimum asymmetry factor variation with finite-difference time-domain simulation.

A robust and wafer-less wavelength selection methodology was proposed. An overlay calculation model considering the asymmetric bottom grating structure showed that additional intensities diffracted from the asymmetric structure caused the overlay error. An asymmetry factor was introduced to describe the intensity ratio of the original overlay mark and a mark with bottom grating only. Based on the simulation results, the optimized wavelength was selected by analyzing the wavelength at which there is the minimum variation of the asymmetry factor. Four cases were tested by the simulation, and the maximum overlay error of the optimized wavelength selected by this method was 0.21 nm.

Popularity-Guided Cost Optimization for Live Streaming in Mobile Edge Computing

Live streaming service usually delivers the content in mobile edge computing (MEC) to reduce the network latency and save the backhaul capacity. Considering the limited resources, it is necessary that MEC servers collaborate with each other and form an overlay to realize more efficient delivery. The critical challenge is how to optimize the topology among the servers and allocate the link capacity so that the cost will be lower with delay constraints. Previous approaches rarely consider server collaborations for live streaming service, and the scheduling delay is usually ignored in MEC, leading to suboptimal performances. In this paper, we propose a popularity-guided overlay model which takes the scheduling delay into consideration and utilizes MEC collaboration to achieve efficient live streaming service. The links and servers are shared among all channel streams and each stream is pushed from cloud servers to MEC servers via the trees. Considering the optimization problem is NP-hard, we propose an effective optimization framework called cost optimization for live streaming (COLS) to predict the channel popularity by a LSTM model with multiscale input data. Finally, we compute topology graph by greedy scheme and allocate the capacity with convex programming. Experimental results show that the proposed approach achieves higher prediction accuracy, reducing the capacity cost by more than 40% with an acceptable delay compared with state-of-the-art schemes.

Overlay models for nanoimprint lithography

Nanoimprint lithography (NIL) manufacturing equipment utilizes a patterning technology that involves the field-by-field deposition and exposures of a low-viscosity resist deposited by jetting technology onto the substrate. The technology faithfully reproduces patterns with a higher resolution and greater uniformity compared to those produced by photolithography equipment. Previous studies have demonstrated NIL resolution better than 10 nm, making the technology resolution suitable for the patterning of several generations of critical memory levels with a single mask. Overlay is critical for advanced memory devices such as dynamic random-access memory and phase change memory. Both device types continue to scale, with expected half pitches down to 14 nm and beyond. Typical overlay budgets are on the order of 20% of the half pitch, meaning overlay requirements of <3 nm. Previously, we have employed systems (such as high-order distortion correction) to improve upon higher order distortion errors, thereby improving the overlay performance of our process. Some process variables that are unique to NIL and that can be considered as process tunable variables include imprint force and tip/tilt of the imprint head relative to the wafer. These were identified to be significant variables to further improve the overlay and to achieve good overlay stability in a production run at throughput. We introduce these overlay tuning knobs for NIL and present the techniques and models to achieve stability of imprint force and tip/tilt in order to reduce both wafer to wafer variation as well as the field–field variation of these variables. Applying these techniques enables NIL to meet the overlay requirements for advanced memory device production.

Identification of Suitable Site-specific Recharge Areas using Fuzzy Analytic Hierarchy Process (FAHP) Technique: A Case Study of Iranshahr Basin (Iran)

Iranshahr Basin is located in the Sistan and Baluchistan province, subject to severe drought and excessive groundwater utilization. Over-reliance on groundwater resources in this area has led to aquifer drawdowns and socio-economic problems. The present study aimed to identify appropriate sites for Artificial Recharge Groundwater (ARG) in a single platform by applying GIS fuzzy logic spatial modeling. Three stages were performed. In stage one, nine factors affecting ARG were collected based on the literature review. In stage two, geology, soil, and land-use layers were digitized from the existing maps. Some layers such as rainfall, unsaturated thickness, water quality, and transmissivity data were imported to ArcGIS environments, and their surface maps were made by Ordinary Kriging (OK) method. In stage three, the parameters were standardized with the fuzzy membership functions, and the GAMMA 0.5 fuzzy overlay model was applied for aggregation parameters. Results showed that 72.8%, 16.7%, 7.7%, 2.5% of the areas were classified as unsuitable, moderate, suitable, and perfectly suitable sites for planning a groundwater recharge site. Subsequently, the minimum area required regarding the possible errors based on the literature review determined six sites (A–E) as areas with higher priority. Then, the recommended unsuitable/suitable sites were validated and omitted by using some more detailed views. Finally, two sites (E and F) were omitted, and four sites (A, B, C, D) were recommended for future artificial recharge planning.

A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on Quantitative Land Degradation in the North Delta, Egypt

In the current study the processes of soil deterioration over the past five decades was evaluated. Land degradation risk, status, and rate were assessed in Kafr El-Sheikh Governorate, Egypt, in 2016 using OLI and ETM (2002) remote sensing data, and soil data from 1961.A quantitative deterioration was produced based on the comparative study approach in the integrated weighted sum, weighted overlay, and fuzzy model. The parameters used were soil depth, texture, pH, EC, OM, SAR, ESP, CEC, CaCO3, BD, N, P, K. The variables were based on the measurements derived from the Universal Soil Loss Equation (USLE). The results of the implemented USLE in the GIS model-builder revealed the prevalence of severe soil deterioration processes in the region, and include four main deterioration risks: water-logging, soil compaction, salinization, and alkalization. During 2002–2016, soil sealing took place on 36,297.87 ha of the study area (9.7% of the total area). Urban sprawl was one of the most noticed problems that became apparent during the fieldwork during the inventory of land resources in the investigation area. Soil sealing is one of the hidden manifestations of desertification, and it is the implicit explanation for the lost land for the agricultural production process. The study showed that the investigated soil, as a part of north Nile Delta, is a very fragile system that needs to be protected, especially under the effect of climate change in areas overloaded with population, and because of their negative effects on soil properties. According to the results of this study, it is recommended that the same approach be applied to similar agricultural semi-arid regions to help in building a database of land resources for agricultural use that will be very useful for the decision-maker to monitor changes on agricultural lands.

Maluku Leading Sector Determination Overlay Model

The Overlay Model is an analysis in economic development planning used to understand economic development, the Overlay Model is a combination modeling of LQ (Location Quentient), MRP (Growth Ratio Model) and modified SS-EM (Shift Share Estaban Marquillas). This study aims to analyze the leading sectors in Maluku Province and their effects among external and internal areas. The results show that the economic development in Maluku Province during the 2010-2020 period have three leading sectors that are potential in palying the economy. The results of the research can be used as a policy evaluation for the local government and a consideration in future decision making.

Formation of Individual Educational Trajectory in Adaptive Learning Management Systems

Purpose of the study. The purpose of this article is to consider the theoretical and practical aspects of designing adaptive training courses aimed at creating an individual educational trajectory, taking into account various mechanisms of adaptation.Materials and methods. This study includes a review of bibliographic sources on the formation of an individual learning path and the implementation of adaptive learning in e-learning courses. It also includes constructing of a structural model of an adaptive learning management system with a description of possible adaptation mechanisms that act as parameters for the formation of a personalized learning path, and a description of an example of the implementation of an adaptive course in the LMS of the Bashkir State Agrarian University.Results. An analysis of factors that influence the choice of a professional educational trajectory is presented. At the same time, different levels of formation of factors are described, for instance, such groups as macrofactors, mesofactors and microfactors are distinguished and characterized. The concept of a flexible adaptive learning model is considered and possible resources (mechanisms) for its adaptation are analyzed. With regard to the management model of the formation of an individual trajectory of training, such parameters as the form of training, the content of training, training methods, the organization of e-learning in the electronic training course, the model of a student, and the trajectory of training are distinguished as adaptation resources. A structural model of an adaptive learning management system is being made, including the following series of structural elements: block of educational content; block of the knowledge control, skills and abilities; communicative block; reflection block; personal identification unit; navigation system; learning path control module. Various approaches to the concept of a learner’s model are also considered (in particular, scalar, overlay and cognitive models).To test the adaptive learning model, an electronic course in the discipline “Informatics and Information Technologies” was designed and implemented in the e-learning management system of the Bashkir State Agrarian University on the LMS Moodle platform. The e-course is used in the educational process for full-time and parttime education, as well as a form of support for distance learning during periods of self-isolation. A comparative analysis of the progress of students who study by using linear and adaptive versions of the e-course is carried out. Students studying with the adaptive version of the e-course showed better learning outcomes. From this, it is concluded that the adaptive course allowed students to better adapt to the conditions of forced distance learning in the new reality.Conclusion. An individual educational trajectory is one of the effective ways of realizing the professional and educational potential of an individual and is based on certain forms, methods, technologies and learning mechanisms. Modern e-learning technologies provide vast opportunities for implementing the concept of personalized flexible learning, in particular, using adaptive training courses. In this case, both the parameters of the learning management environment and the characteristics of the students can act as a resource (parameter) of adaptation.

Α PATTERN-BASED AUGMENTED REALITY APPLICATION FOR THE DISSEMINATION OF CULTURAL HERITAGE

Abstract. Augmented Reality (AR) is more than an added value for Cultural Heritage (CH); it is vital for its sustainability, promotion and dissemination, increasing accessibility in CH even during difficult periods of time, like the Covid-19 pandemic. In order to be meaningful and engaging, an AR application should have the following characteristics: easiness of use, high-quality representations and compatibility. This paper presents a marker-less mobile AR application for the display and inspection of high-resolution 3D cultural assets, overlayed on a particular location in the real-world scene. Instead of predefined markers, an image captured by the user is exploited as a pattern for real-time feature matching, pose estimation and scene augmentation. Our approach is based on pure computer vision and photogrammetric techniques, implemented using native C++ and Java code for Android mobile platforms. It is built with the use of the OpenCV library and the OpenGL ES graphics API without any dependencies of AR Software Development Kits (SDKs). Therefore, it supports cross-vendor portability regarding mobile model devices and hardware specifications. The evaluation of the developed application examines the performance of various matching techniques and the overall responsiveness of processing and 3D rendering on mid-range and low-end smartphones. The results showcase the reliability and responsiveness of the pattern recognition as well as the potential of the 3D graphics engine to render and overlay complex 3D models balancing between visual quality and time. The proposed methodology is applied to the Ciborium of the church of St. Charalabos, located at St. Stephen’s Monastery in Meteora, Greece.

BWM-SAW: A new hybrid MCDM technique for modeling of chromite potential in the Birjand district, east of Iran

The Birjand chromite district, eastern Iran, is a part of the Birjand ophiolite complex. Although there is no known chromite mineralization in this district, its favorable geological setting suggests the presence of chromite endowment. Therefore, this study adopted a novel hybrid multiple-criteria decision making (MCDM) technique called BWM-SAW to mineral potential modeling (MPM) of chromite deposits in the Birjand district. For this, the authors developed three exploration evidence maps, including (1) proximity to the host rock, (2) fault density, and (3) multi-element geochemical signature. In addition, a further AHP-TOPSIS potential model was merely generated to check the adequacy of the developed BWM-SAW model. Also in this study, for the purpose of comparison and further investigation, we applied the above hybrid MCDM techniques to generate mineral potential map in the Dolatabad district hosting numerous chromite deposits. For this, we utilized three evidential maps previously generated and described by Roshanravan (2020). The results of this study manifest that the BWM-SAW technique to MPM outperformed the AHP-TOPSIS potential model and the previous continuous (i.e., data-driven index overlay, geometric average and fuzzy gamma) models of Roshanravan (2020).

Sense of Place Destinasi Wisata Urban: Kasus Titik Nol Kilometer, Yogyakarta

Urban tourism phenomenon has rarely been studied using both tourism and urban studies approach, whereas urban environment play an essential role in tourism attractiveness. This research investigates the considerably high tourist visit in public space of Titik Nol Kilometer Yogyakarta as an urban tourism phonemenon using a multidimensional concept of sense of place which explains relationship between the tourist (people) and the public area (place). The analysis is focused on the place making components that creates sense of place. The sense of place concept is explored through qualitative analysis, with data collected from physical and behavioural mapping, and online interviews with tourists. Overlay and interactive analytical model is performed to identify the sense of place and its component. Sense of place in Titik Nol Kilometer is identified as emotional relationship between tourist and public space setting which becomes not only a place for recreational or creative events performed by the citizen or local people, but also an attractive destination for tourist that brings personal experience of the unique life of Yogyakarta city. Sense of place is created by the connectedness of various elements based on physical setting, activity, and meaning parameters which coherently combined and complement each other’s existence. The process involved the collaboration of planned place making and organic place making, which enable the coexistence of ‘old and new’, and ‘local and tourist’ contrast.

A use case of exclusive economic zone of Pakistan for wave power potential estimation

The demand for energy is constantly rising in developing countries. Ocean waves with continuous energy flux can contribute to universal energy production. The wave energy has its advantages of renewable, non-polluting and large storage, however, the technological solution to extract energy from oceans is still at early stages. In this paper, a strategy is devised to estimate wave power potential for a developing country. Pakistan is considered as a use case on the basis of less renewable energy share and facing energy crises. In this study, wave energy potential is estimated for power generation by excluding the sensitive areas from the exclusive economic zone. The year long significant wave height and mean wave period data set is used for the purpose. A GIS based multi-criteria overlay analysis model is implemented using different restriction and weighted factors such as ocean bathymetry, distance to ports and shoreline. The results show that average wave power is peaked at 9.15 kW/m in the summer season and 85% of Pakistan economic zone is suitable for wave farm development. The wave energy potential assessment is coupled by extractable power estimation that is worked out by assessing the performance of commercial wave energy converters in regional context.

Cuckoo optimization algorithm for support vector regression potential analysis: An example from the Granites-Tanami Orogen, Australia

This study describes the supervised support vector regression method and cuckoo optimization algorithm (COA-SVR), a newly developed mineral potential modelling (MPM) technique, and a case study of its application to predicting gold potential in the Granites-Tanami Orogen (GTO), Australia. COA-SVR, which was borne out of a computer program coded in MATLAB®, incorporates a popular radial basis function (RBF) known as the Gaussian kernel function. The COA-SVR model was trained using a series of predictor maps previously generated and described by Roshanravan et al. (2020a), and corroborated by way of a 10-fold cross-validation. The modelling results indicate that the COA-SVR approach to MPM outperformed the previous data-driven (i.e., random forest) and continuous (i.e., fuzzy gamma, geometric average, and data-driven index overlay) models of Roshanravan et al. (2020a). As such, the newly proposed COA-SVR method presents a valid approach to MPM. To further constrain the results, the gold prospective domains identified via COA-SVR and the previous models of Roshanravan et al. (2020a) were delimited, using the student's t-value and concentration-area (C-A) fractal techniques. Following the above, indices of overall performance (Oe), accuracy (A), kappa (K) and normalized density (Nd) were applied to further assess the gold prospective domains as delimited by the student's t-value and C-A fractal techniques. The results are consistent with the COA-SVR and random forest models having outperformed the more traditional modelling approaches documented by Roshanravan et al. (2020a). Given the positive results obtained in this study and similarly positive results reported by others, we believe that the apparent superior nature of machine-learning algorithms strongly merits further consideration, research and more widespread application in MPM.

Abstract LB243: Implantable and insertable miniature dual-axis confocal (DAC) microscope to detect epithelial-mesenchymal transition (EMT) in the breast cancer microenvironment

Abstract The tumor microenvironment (TME) can be defined as non-transformed stromal elements within the tumor, effecting their growth, invasion, and metastatic ability. Cancer cells leave the primary tumor during metastasis, then spread and colonize in distant organs. In breast cancer, metastasis mechanisms are not yet fully understood within the TME. However, epithelial to mesenchymal transition (EMT) is a known essential step in metastasis, in which patterned epithelial cells transform into migratory cells with mesenchymal phenotypes. Developing state-of-the-art multiparametric in vivo imaging devices increases the opportunities to observe dynamic cellular properties and their interactions with the surrounding stroma and TME during the critical steps of invasion and metastasis. Currently available commercial imaging technologies only enable in vivo imaging under anesthesia in a fixed posture. In contrast, real-time confocal imaging of the EMT and TME is not possible in animals. We have adapted our miniature dual-axis confocal (DAC) fluorescent microscope to track breast cancer cells having fluorescent reporters indicating key molecular splicing events during EMT to overcome these limitations. This project aims to study EMT more thoroughly using rat breast cancer MTLn3 cell lines by mimicking in vivo scenarios through 3D in vitro mono/co-culture spheroids, 3D multi-spheroid matrix overlay models, and 3D sandwich. We have engineered MTLn3 cells with fluorescent reporters correlating with different EMT stages, depending on their invasiveness levels. The ultra-low attachment method is used to engineer 3D MTLn3 spheroids, embed within TME matrices, and monitor advanced in vitro live-cell imaging techniques for up to 10 days. Another goal is to use miniature DAC microscopes, implanted in animal models, to study the fundamental changes occurring during carcinoma progression. This transdisciplinary project's final goal is to optimize the DAC microscope as an implantable and insertable device to investigate EMT-associated splicing events in the TME of orthotopic rat breast carcinoma models. This will be achieved by growing engineered MTLn3 cells and spheroids in their mammary fat pads and following microscopic changes for a certain period. This work will contribute to further developing the miniature implantable DAC microscopes for 3D high resolution, multiparametric imaging to reveal dynamic changes within the TME during carcinoma progression. Citation Format: Ehsanul Hoque Apu, Seock-Jin Chung, Michael J. Mandella, Frank Schonig, Frank B. Gertler, Zhen Qiu, Christopher H. Contag. Implantable and insertable miniature dual-axis confocal (DAC) microscope to detect epithelial-mesenchymal transition (EMT) in the breast cancer microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB243.