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"Gao, James"
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Pro JavaFX 9 : a definitive guide to building desktop, mobile, and embedded Java clients
Use the JavaFX platform to create rich-client Java applications and discover how you can use this powerful Java-based UI platform, which is capable of handling large-scale data-driven business applications for PC as well as mobile and embedded devices. The expert authors cover the new more modular JavaFX 9 APIs, development tools and best practices, as well as providing code examples that explore the exciting new features provided with JavaFX 9, part of Oracle's Java 9 release.
Book
Visual and linguistic semantic representations are aligned at the border of human visual cortex
Semantic information in the human brain is organized into multiple networks, but the fine-grain relationships between them are poorly understood. In this study, we compared semantic maps obtained from two functional magnetic resonance imaging experiments in the same participants: one that used silent movies as stimuli and another that used narrative stories. Movies evoked activity from a network of modality-specific, semantically selective areas in visual cortex. Stories evoked activity from another network of semantically selective areas immediately anterior to visual cortex. Remarkably, the pattern of semantic selectivity in these two distinct networks corresponded along the boundary of visual cortex: for visual categories represented posterior to the boundary, the same categories were represented linguistically on the anterior side. These results suggest that these two networks are smoothly joined to form one contiguous map.
This study shows that visual areas pass information to the amodal semantic system through semantically selective channels aligned at the border of visual cortex. This architecture might support the integration of visual perception and semantic memory.
Journal Article
Pycortex: an interactive surface visualizer for fMRI
Surface visualizations of fMRI provide a comprehensive view of cortical activity. However, surface visualizations are difficult to generate and most common visualization techniques rely on unnecessary interpolation which limits the fidelity of the resulting maps. Furthermore, it is difficult to understand the relationship between flattened cortical surfaces and the underlying 3D anatomy using tools available currently. To address these problems we have developed pycortex, a Python toolbox for interactive surface mapping and visualization. Pycortex exploits the power of modern graphics cards to sample volumetric data on a per-pixel basis, allowing dense and accurate mapping of the voxel grid across the surface. Anatomical and functional information can be projected onto the cortical surface. The surface can be inflated and flattened interactively, aiding interpretation of the correspondence between the anatomical surface and the flattened cortical sheet. The output of pycortex can be viewed using WebGL, a technology compatible with modern web browsers. This allows complex fMRI surface maps to be distributed broadly online without requiring installation of complex software.
Journal Article
Voxel-Based State Space Modeling Recovers Task-Related Cognitive States in Naturalistic fMRI Experiments
Complex natural tasks likely recruit many different functional brain networks, but it is difficult to predict how such tasks will be represented across cortical areas and networks. Previous electrophysiology studies suggest that task variables are represented in a low-dimensional subspace within the activity space of neural populations. Here we develop a voxel-based state space modeling method for recovering task-related state spaces from human fMRI data. We apply this method to data acquired in a controlled visual attention task and a video game task. We find that each task induces distinct brain states that can be embedded in a low-dimensional state space that reflects task parameters, and that attention increases state separation in the task-related subspace. Our results demonstrate that the state space framework offers a powerful approach for modeling human brain activity elicited by complex natural tasks.
Journal Article
A specific missense mutation in GTF2I occurs at high frequency in thymic epithelial tumors
Giuseppe Giaccone and colleagues identify a recurrent missense mutation in
GTF2I
in a high percentage of thymic epithelial tumors. The mutation occurs more commonly in type A and AB thymomas and is associated with a more favorable clinical outcome.
We analyzed 28 thymic epithelial tumors (TETs) using next-generation sequencing and identified a missense mutation (chromosome 7 c.74146970T>A) in
GTF2I
at high frequency in type A thymomas, a relatively indolent subtype. In a series of 274 TETs, we detected the
GTF2I
mutation in 82% of type A and 74% of type AB thymomas but rarely in the aggressive subtypes, where recurrent mutations of known cancer genes have been identified. Therefore,
GTF2I
mutation correlated with better survival.
GTF2I
β and δ isoforms were expressed in TETs, and both mutant isoforms were able to stimulate cell proliferation
in vitro
. Thymic carcinomas carried a higher number of mutations than thymomas (average of 43.5 and 18.4, respectively). Notably, we identified recurrent mutations of known cancer genes, including
TP53
,
CYLD
,
CDKN2A
,
BAP1
and
PBRM1
, in thymic carcinomas. These findings will complement the diagnostic assessment of these tumors and also facilitate development of a molecular classification and assessment of prognosis and treatment strategies.
Journal Article
Flexible delivery by an autonomous robot in a secure building
In industrial settings, autonomous robotic systems have become more common. Companies use autonomous robots to optimise repetitive, time-consuming tasks and improve efficiency. Strategically integrating robots frees up human resources from manual tasks to boost workplace efficiency and productivity. As they pursue Industry 4.0 goals, companies need autonomous robots to meet strict security standards. This depends on preserving confidentiality regarding sensitive information and protecting personnel health and safety. The mobile robot in this experiment aimed to simplify the transportation of standard load carriers, such as plastic boxes used in Kanban storage racks. A controlled lab environment was needed to recreate the robot’s working environment. To streamline delivery, an innovative optical camera and depth vision were added. With this technology configuration, the robot could perform tasks independently. Limiting data retrieval helped the depth camera distinguish conventional boxes. The main project achievement was proving that an autonomous guided vehicle could transport plastic boxes while protecting company data. This method replaced manual part retrieval from secure locations, improving operational efficiency and reinforcing data security.
Journal Article
A multi-perspective dynamic feature concept in adaptive NC machining of complex freeform surfaces
This paper presents a new concept of feature for freeform surface machining that defines the changes in feature status during real manufacturing situations which have not been sufficiently addressed by current international standards and previous research in feature technology. These changes are multi-perspective, including (i) changes in depth-of-cut: the geometry of a feature in the depth-of-cut direction changes during different machining operations such as roughing, semi-finishing and finishing; (ii) changes across the surface: a surface may be divided into different machining regions (effectively sub-features) for the selection of appropriate manufacturing methods for each region such as different cutting tools, parameters, set-ups or machine tools; and (iii) changes in resources or manufacturing capabilities may require the re-planning of depth-of-cuts, division of machining regions and manufacturing operations (machines, tools, set-ups and parameters). Adding the above dynamic information to the part information models in current CAD systems (which only represent the final state of parts) would significantly improve the accuracy, efficiency and timeliness of manufacturing planning and optimisation, especially for the integrated NC machining planning for complex freeform surfaces. A case study in an aircraft manufacturing company will be included in this paper.
Journal Article
An overview of knowledge sharing in new product development
This paper provides an overview of some of the issues in knowledge management related to the sharing of knowledge in new product development. Previous research and concepts reported by international researchers and examples of the research projects carried out by the authors will be introduced. The paper first provides an overview of the history and importance of innovation and challenges in manufacturing. Then, the importance of new product development in the sustainable success of manufacturing enterprises in the globalised business operations is discussed. The formalisation and modelling of product development processes will also be introduced. The concept and different definitions of knowledge management by previous researchers are then introduced, with further discussion on knowledge sharing. At this point, the authors’ research in knowledge sharing is also introduced. Finally, the trend of using social media and Enterprise 2 technologies in knowledge management and sharing is introduced using the recent research projects of the authors as examples.
Journal Article
A Study on Improving Efficiency and Reliability of Automated Connector Testing for Aerospace Applications
Automation is crucial for the future of the industry as it enhances efficiency, quality, and accuracy while reducing operating time and the occurrence of human errors. Establishing an automated factory requires significant resources, including robot installation, worker training, program development, and ensuring quality and safety measures. This paper presents a study on automating the testing process for an aerospace company aiming to enhance productivity and minimise errors. The study aimed to achieve full task automation using a Universal Robotics Arm (UR5), which undertook the tasks of retrieving, inserting, securely locking, and removing the six connectors into the equipment, effectively executing the entire process. In initial trials, wireless connectors exceeded expectations, achieving 16 cycles in 2 hours. The inclusion of cables brought about significant challenges, particularly in terms of cable entanglement and concerns regarding the durability of connectors. Proposed solutions include improving the rack system and refining the gripper’s functionalities. This highlights the project’s potential for transformative advancements in aerospace manufacturing.
Journal Article
Genomics: Revolutionizing Medicine and Shaping the Future of Healthcare
Keywords: Genomics + Personalized medicine + Cancer treatment + Gene editing Introduction Genomics, the study of the complete set of genes or genetic material in an organism, has emerged as one of the most promising fields in modern medicine. The human genome contains over 3 billion DNA base pairs, and the interpretation of this vast amount of information requires highly skilled professionals and sophisticated tools. The integration of Artificial Intelligence (Al) and Machine Learning (ML) with genomic data analysis promises to enhance our ability to predict disease risk, discover new therapeutic targets, and design individualized treatment plans.
Journal Article