The dimension of a variety

We invent the notion of a {\it dimension of a variety} $V$ as the cardinality of all its proper {\it derived} subvarieties (of the same type). The dimensions of varieties of lattices, varieties of regular bands and other general algebraic structures are determined.Comment: The results of the paper were presented at the workshop AAA71 and CYA21 at B\c{e}dlewo, Poland on February 11, 2006. the paper is submitted to Discussiones Mathematicae Algebra and Stochastc Methods, special issu

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Early detection of pulmonary cancer is the most promising way to enhance a patient's chance for survival. Accurate pulmonary nodule detection in computed tomography (CT) images is a crucial step in diagnosing pulmonary cancer. In this paper, inspired by the successful use of deep convolutional neural networks (DCNNs) in natural image recognition, we propose a novel pulmonary nodule detection approach based on DCNNs. We first introduce a deconvolutional structure to Faster Region-based Convolutional Neural Network (Faster R-CNN) for candidate detection on axial slices. Then, a three-dimensional DCNN is presented for the subsequent false positive reduction. Experimental results of the LUng Nodule Analysis 2016 (LUNA16) Challenge demonstrate the superior detection performance of the proposed approach on nodule detection(average FROC-score of 0.891, ranking the 1st place over all submitted results).Comment: MICCAI 2017 accepte

S4ND: Single-Shot Single-Scale Lung Nodule Detection

The state of the art lung nodule detection studies rely on computationally expensive multi-stage frameworks to detect nodules from CT scans. To address this computational challenge and provide better performance, in this paper we propose S4ND, a new deep learning based method for lung nodule detection. Our approach uses a single feed forward pass of a single network for detection and provides better performance when compared to the current literature. The whole detection pipeline is designed as a single $3D$ Convolutional Neural Network (CNN) with dense connections, trained in an end-to-end manner. S4ND does not require any further post-processing or user guidance to refine detection results. Experimentally, we compared our network with the current state-of-the-art object detection network (SSD) in computer vision as well as the state-of-the-art published method for lung nodule detection (3D DCNN). We used publically available $888$ CT scans from LUNA challenge dataset and showed that the proposed method outperforms the current literature both in terms of efficiency and accuracy by achieving an average FROC-score of $0.897$. We also provide an in-depth analysis of our proposed network to shed light on the unclear paradigms of tiny object detection.Comment: Accepted for publication at MICCAI 2018 (21st International Conference on Medical Image Computing and Computer Assisted Intervention

ExoMol molecular line lists - XVI. The rotation-vibration spectrum of hot H2S

This work presents the AYT2 line list: a comprehensive list of 115 million 1H232S vibration–rotation transitions computed using an empirically adjusted potential energy surface and an ab initio dipole moment surface. The line list gives complete coverage up to 11 000 cm−1 (wavelengths longer than 0.91 μm) for temperatures up to 2000 K. Room temperature spectra can be simulated up to 20 000 cm−1 (0.5 μm) but the predictions at visible wavelengths are less reliable. AYT2 is made available in electronic form as supplementary data to this paper at www.exomol.com

YopN and TyeA Hydrophobic Contacts Required for Regulating Ysc-Yop Type III Secretion Activity by Yersinia pseudotuberculosis

Yersinia bacteria target Yop effector toxins to the interior of host immune cells by the Ysc-Yop type III secretion system. A YopN-TyeA heterodimer is central to controlling Ysc-Yop targeting activity. A + 1 frameshift event in the 3-prime end of yopN can also produce a singular secreted YopN-TyeA polypeptide that retains some regulatory function even though the C-terminal coding sequence of this YopN differs greatly from wild type. Thus, this YopN C-terminal segment was analyzed for its role in type III secretion control. Bacteria producing YopN truncated after residue 278, or with altered sequence between residues 279 and 287, had lost type III secretion control and function. In contrast, YopN variants with manipulated sequence beyond residue 287 maintained full control and function. Scrutiny of the YopN-TyeA complex structure revealed that residue W 279 functioned as a likely hydrophobic contact site with TyeA. Indeed, a YopN W 279 G mutant lost all ability to bind TyeA. The TyeA residue F 8 was also critical for reciprocal YopN binding. Thus, we conclude that specific hydrophobic contacts between opposing YopN and TyeA termini establishes a complex needed for regulating Ysc-Yop activity

Analisis Harga Air untuk Irigasi Padi Sawah di Wilayah Perkotaan (Kasus Subak Pakel I dan Subak Pagutan Kota Denpasar)

Water Value Analysis for Rice Irrigation in Urban Areas (Case Study of Subak Pakel I and Subak Pagutan Denpasar City) This study is analyzing the real price of water that must be spend by the rice farmer, the contribution of water for rice production by it coefficient elasticity and irrigation trouble that facing the rice farmer in city area, specifically in Denpasar city Bali province. This study uses the regression method and value of marginal product method to reach the water contribution by coefficient elasticity value and the water price. The result of study shows that water contribution to the rice production by coefficient elasticity is high. The water price that must be spend by the rice farmer by value of marginal product analysis is Rp 358.515/ha/season. The irrigation trouble that facing the farmer is irrigation way damage, garbage that obstruct water flowing, crab pest that discourage water in rice field, and the river damage that obstruct water flowing. The result of this study leads to the following recommendations. Firstly, the irrigation trouble must be fixed by the all subak member in united without expecting help from other stakeholder. Secondly, in the applying trouble fixing need a cost. The cost can be taken by implementation of the real water price by value Rp 358.515/ha/season

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database

Radiologists in their daily work routinely find and annotate significant abnormalities on a large number of radiology images. Such abnormalities, or lesions, have collected over years and stored in hospitals' picture archiving and communication systems. However, they are basically unsorted and lack semantic annotations like type and location. In this paper, we aim to organize and explore them by learning a deep feature representation for each lesion. A large-scale and comprehensive dataset, DeepLesion, is introduced for this task. DeepLesion contains bounding boxes and size measurements of over 32K lesions. To model their similarity relationship, we leverage multiple supervision information including types, self-supervised location coordinates and sizes. They require little manual annotation effort but describe useful attributes of the lesions. Then, a triplet network is utilized to learn lesion embeddings with a sequential sampling strategy to depict their hierarchical similarity structure. Experiments show promising qualitative and quantitative results on lesion retrieval, clustering, and classification. The learned embeddings can be further employed to build a lesion graph for various clinically useful applications. We propose algorithms for intra-patient lesion matching and missing annotation mining. Experimental results validate their effectiveness.Comment: Accepted by CVPR2018. DeepLesion url adde

TECHXPO 2020 - If you have a question regarding any of the projects listed below, you can contact the student(s) by sending an email to [email protected]. Any communication received via the Techxpo email address will be forwarded onto the respective student(s) who will then respond directly to the sender. When commenting, please reference the project title in its entirety to ensure the comment is forwarded to the appropriate student(s). Any viewer who comments on/responds to at least 5 projects by April 30, 2020, will receive a Techxpo t-shirt.

If you have a question regarding any of the projects listed below, you can contact the student(s) by sending an email to [email protected]. Any communication received via the Techxpo email address will be forwarded onto the respective student(s) who will then respond directly to the sender. When commenting, please reference the project title in its entirety to ensure the comment is forwarded to the appropriate student(s). Any viewer who comments on/responds to at least 5 projects by April 30, 2020, will receive a Techxpo t-shirt

Development of a Novel Antibacterial and Remineralising Dental Composite for Paediatric Dentistry

The aim of this study was to develop new high strength dental composites with antimicrobial release, using primarily high molecular weight monomers for reduced shrinkage but additional inclusion of components that might promote dentine adhesion and remineralisation. Urethane dimethacrylate : poly(propylene glycol) dimethacryate (3:1) was mixed with 5 wt% adhesive monomer (2-hydroxyethyl methacrylate or methacrylate phosphate). This was combined with glass particles mixed with chlorhexidine diacetate (CHX, 5 or 10 wt%) and mono and tri calcium phosphate (CaP 10 or 40 wt%) in a powder to liquid ratio of 4:1 Light activated monomer conversion was assessed by FITR. Biaxial flexural strength of set discs (10 mm diameter, 1 mm thick, n=8) was determined after 24 hours in distilled water and compared with a commercial control (Gradia). CHX release (24 hours, 2 weeks, and 4 weeks) was assessed using UV spectrometry. The monomer conversion of experimental formulations was 71% and 81% with 5 and 10 wt% CHX respectively and not affected by other variables. Gradia conversion was 50%. New material strengths ranged between 130 and 180 MPa being lower with higher CHX and CaP. Varying adhesive monomer type had negligible effect. Gradia strength was 70 MPa. Over 4 weeks, CHX release was 2.9 - 7.1 wt% and mass increase 1.2 - 3.9 wt%. In conclusion, experimental composites containing antibacterial, remineralising and adhesion promoting components have been produced with flexural strengths comparable with commercial materials and higher monomer conversion