Early-stage breast cancer is often asymptomatic, highlighting the critical role of computer-aided diagnostic(CAD) systems in mammography screening. While radiologists often refer to bilateral symmetry to identify abnormalities, most existing CAD methods analyze unilateral views or require image registration, which limits their ability to model structural heterogeneity and often introduces distortion. To address this, we propose a registration-free, structure-aware diagnostic framework that integrates bilateral mammography with soft spatial prompting via Vision Transformers (ViT). By directly concatenating bilateral images and introducing a soft attention mask generated from a lightweight segmentation network, our approach enables end-to-end modeling of cross-breast structural differences without the need for region-of-interest extraction. Extensive evaluations on both public and clinical datasets demonstrate that our method consistently outperforms CNN and lightweight Transformer baselines, achieving up to 0.930 accuracy and 0.972 AUC. To our knowledge, this is the first framework to combine bilateral structural modeling and soft guidance in a unified, interpretable, and scalable ViT-based pipeline for breast cancer diagnosis.

Living Lab, one of the recent emerging smart city concepts, faces long-term sustainability challenges associated with its complexity and breadth of use. To be efficient, it must rely on comprehensive set of information distributed appropriately among all stakeholders to unleash its full innovation potential. This is especially true in the case of positive energy districts, where timely data dissemination is essential for prosumager decisions and their greedy behaviour. This paper interconnects intelligent information exchange, supported by ultra-low latency hybrid access network infrastructure, with the clever use of available fog computing resources to properly disseminate complex energy details to all participating entities. As the optimal distribution of information using proper task offloading is the convergence problem, we recalled higher-order neural units that helped maintain computational and energy efficiency in conjunction with the preservation of the overall system stability. We have achieved a reliable hourly energy consumption prediction with a computationally very lightweight alternative to commonly used deep neural network approaches that can be deployed on available smart appliances with ease. The application and simulation were performed on the dataset provided by one of Europe’s smart city pioneers, where the prosumager positive energy district transition has already started.

Current intelligent transport systems (ITS) and trends in their development are weekly consider all involved elements and do not cover the topic of cooperative work of services. In this paper the concept of the cooperative ITS as a digital ecosystem (DE) of services, sensors, hardware devices and users is presented.

Ideal particle accumulation on an curve is studied in this paper. Particles are assumed to be emitted from a fixed point location at the same emission speed onto the surface of the ground, a wall, or a ceiling, depending on their relative positions. Since particles acted on by gravity travel in space via parabolic trajectories, by grouping parabolas, the accumulation of particles on such surfaces can be deduced. An analytical equation, namely the accumulation density function, is subsequently established to represent particle accumulation on each such surface. This accumulation function provides a basis for simulating accumulation of materials on surfaces in diverse application areas, including agricultural spraying irrigation, seeding, chemical vapor deposition, and spray painting.

The objective of this study is to develop an integrated approach to process design for air cargo transportation. This work integrated the methodologies of quality function deployment (QFD), balanced scorecard (BSC), and theory of constraints (TOC) to ensure that the internal process design meets the needs of employees, shareholders, and customers. This integrated approach is constructed by three stages. In the first stage, the strategies, strategic objectives, and key performance indicators (KPIs) of the company are developed through the conceptual framework of BSC. In the second stage, the initiator' actions are developed through the five logic tools of TOC. Furthermore, in the third stage, through the integration of BSC and TOC with QFD, KPIs and initiator' actions were transformed into the design requirements and the technical requirements. Finally, the house of quality (HOQ) is built for designing the service process of air cargo transportation based on QFD.

The technique of layered manufacturing in rapid prototyping is to fabricate product prototype by scanning the cross-sectional contours of the product using a laser beam layer by layer. The outlines of geometrical objects on each layer are different, and each layer may contain several geometrical objects. In order to simplify the problem, each geometrical object on the same plane is approximating by its own minimum circumscribed circle. Therefore, the minimum traversal path between circles can be the based model of the minimum traversal path between scanning geometrical objects. Furthermore, the minimum traversal path of three circles is the degenerated case of the minimum traversal path between circles. And the problem of the minimum traversal path of three circles can be transferred to the problem of the minimum traversal path of one circle and two points in this research. By using the concepts of reflection of light in physics and geometrical mathematics, the equation of the minimum traversal path between three circles will be derived in this paper. This equation of minimum traversal path can be applied in many application areas, including robotic motion planning and path planning for submarine, ship, and airplane.

We consider the computation of an optimal workpiece orientation allowing the maximal number of surfaces to be machined in a single setup on a three-, four-, or five-axis numerically controlled machine. Assuming the use of a ball-end cutter, we establish the conditions under which a surface is machinable by the cutter aligned in a certain direction, without the cutter's being obstructed by portions of the same surface. The set of such directions is represented on the sphere as a convex region, called the visibility map of the surface. By using the Gaussian maps and the visibility maps of the surfaces on a component, we can formulate the optimal workpiece orientation problems as geometric problems on the sphere. These and related geometric problems include finding a densest hemisphere that contains the largest subset of a given set of spherical polygons, determining a great circle that separates a given set of spherical polygons, computing a great circle that bisects a given set of spherical polygons, and finding a great circle that intersects the largest or the smallest subset of a set of spherical polygons. We show how all possible ways of intersecting a set of n spherical polygons with v total number of vertices by a great circle can be computed in O ( vn log n ) time and represented as a spherical partition. By making use of this representation, we present efficient algorithms for solving the five geometric problems on the sphere.