How to represent paintings: a painting classification using artistic comments

The goal of large-scale automatic paintings analysis is to classify and retrieve images using machine learning techniques. The traditional methods use computer vision techniques on paintings to enable computers to represent the art content. In this work, we propose using a graph convolutional network and artistic comments rather than the painting color to classify type, school, timeframe and author of the paintings by implementing natural language processing (NLP) techniques. First, we build a single artistic comment graph based on co-occurrence relations and document word relations and then train an art graph convolutional network (ArtGCN) on the entire corpus. The nodes, which include the words and documents in the topological graph are initialized using a one-hot representation; then, the embeddings are learned jointly for both words and documents, supervised by the known-class training labels of the paintings. Through extensive experiments on different classification tasks using different input sources, we demonstrate that the proposed methods achieve state-of-art performance. In addition, ArtGCN can learn word and painting embeddings, and we find that they have a major role in describing the labels and retrieval paintings, respectively

Novel free paclitaxel-loaded poly(L-γ-glutamylglutamine)–paclitaxel nanoparticles

The purpose of this study was to develop a novel formulation of paclitaxel (PTX) that would improve its therapeutic index. Here, we combined a concept of polymer–PTX drug conjugate with a concept of polymeric micelle drug delivery to form novel free PTX-loaded poly(L-γ-glutamylglutamine) (PGG)–PTX conjugate nanoparticles. The significance of this drug formulation emphasizes the simplicity, novelty, and flexibility of the method of forming nanoparticles that contain free PTX and conjugated PTX in the same drug delivery system. The results of effectively inhibiting tumor growth in mouse models demonstrated the feasibility of the nanoparticle formulation. The versatility and potential of this dual PTX drug delivery system can be explored with different drugs for different indications. Novel and simple formulations of PTX-loaded PGG–PTX nanoparticles could have important implications in translational medicines

Anoxia Treatment for Delaying Skin Browning, Inhibiting Disease Development and Maintaining the Quality of Litchi Fruit

Litchi fruit has a very short shelf life after harvest, so marketers and consumers alike desire longer periods of storage, transportation and distribution. To extend shelf life, anoxia treatments were used for the fruit. Litchi fruit were exposed to pure N2 for 0, 3, 6, 12 or 24 h. They were then kept individually in closed but vented containers for 6 days in the dark at 20 °C and 95–100 % relative humidity. Exposure of litchi fruit to N2 for 3 or 6 h markedly delayed skin browning, reduced rot development and maintained higher concentrations of total soluble solids, titratable acidity and ascorbic acid after 6 days of storage. Anoxia treatment for 24 h reduced browning index, but it accelerated disease development, compared to the control. Thus, a pre-storage pure N2 treatment for 3 or 6 h can be an effective means of reducing rotting while maintaining the physical quality of the fruit

Macrophages in solid organ transplantation

Macrophages are highly plastic hematopoietic cells with diversified functions related to their anatomic location and differentiation states. A number of recent studies have examined the role of macrophages in solid organ transplantation. These studies show that macrophages can induce allograft injury but, conversely, can also promote tissue repair in ischemia-reperfusion injury and acute rejection. Therapeutic strategies that target macrophages to improve outcomes in solid organ transplant recipients are being examined in preclinical and clinical models. In this review, we discuss the role of macrophages in different types of injury and rejection, with a focus on macrophage-mediated tissue injury, specifically vascular injury, repair and remodeling. We also discuss emerging macrophage-centered therapeutic opportunities in solid organ transplantation

Accurate and Stable Camera Calibration of Broadcast Tennis Video

Abstract: This paper presents an original algorithm for accurate and stable camera calibration of broadcast tennis video (BTV). That frame-data of BTV is often erroneous results in wildly fluctuating camera parameters. To meet this challenge, we propose a frame grouping technique, which groups frames together according to camera viewpoint. We then use a group-wise data analysis to obtain more stable parameters. Recognizing the fact that some of these parameters do vary somewhat even if they have a similar camera viewpoint, we further employ a Hough-like search to tune them, maximizing the reprojection similarity. This twotiered process gains stability of the camera parameters, and yet ensures large reprojection similarity via the tuning step. The experimental results show that our algorithm is able to acquire accurate camera matrix

Bimodal transit design with heterogeneous demand elasticity under different fare structures

The study develops a new optimisation model to design a bimodal transit system from a microeconomic view to maximise the profit of a transit agency considering heterogeneous demand elasticity and different fare structures. Bimodal transit network parameters are optimized to better serve passenger demand. An elastic demand function is devised to include various time components and incorporate flat, distance-based, and hybrid fares. A nested iterative procedure is developed to find a near-optimal solution. Numerical experiments reveal the following interesting findings. First, the increase in elasticity parameters has a knock-on effect on the financial performance, consequently leading to a net profit reduction. Second, a distance-based fare scheme brings in the least actual demand but makes the most profit, compared with the flat and hybrid fare schemes. Third, passengers prefer using a rail-bus system to a BRT-bus system, especially at a higher demand level

Ex-ante robustness measures for single track train timetables

Cilj je ovoga rada predložiti mjerenje u svrhu kvantificiranja i poboljšanja dugotrajnosti voznih redova već kod izrade. U radu se predstavlja modeliranje i primjena ex-ante mjere dugotrajnosti za vozne jednokolosiječne željezničke pruge, poznate kao Critical Robustness Measure (CRM). Učinkovitost te mjere demonstrira se usporedbom te metode s dostupnim ex-ante mjerama izdržljivosti, tj. brojem vlakova po satu po dionici, ukupnim iznosom granice vremena vožnje za svaki pojedinačni vlak, zbirom najkraćih uzajamnih vemenskih intervala između dva vlaka, ponderiranim prosjekom udaljenosti, marginalnom razlikom u vremenu vožnje, izdržljivosti u kritičnim točkama, i granicama vremena vožnje na najdužoj stazi. Numerički eksperimenti provedeni su na hipotetičkom primjeru i izabranom dijelu jednokolosiječne pruge na pakistanskim željeznicama. Rezultati proračuna pokazuju da nije korisno dodati vremenska ograničenja kod svih aktivnosti (na pr. vrijeme vožnje, vremenski razmak između dva vlaka) u voznom redu jer nisu sve komponente uključene u granicu vremena vožnje korisne za dugotrajnost nekog voznog reda. Nadalje, ta se dugotrajnost ne može statistički kvantificirati budući da se tijekom vremena može promijeniti i povezati s načinom interakcija između vlakova.The goal of the paper is to propose a measurement to quantify and improve the robustness of the train timetables at the design stage. The paper presents the modeling and application of an ex-ante robustness measure for single track railways, known as the Critical Robustness Measure (CRM). Efficiency of the CRM is demonstrated by comparing the technique with the available ex-ante robustness measures, e.g., the number of trains per hour per section, the total amount of runtime margin for each individual train, sum of shortest headway reciprocals, weighted average distance, marginal runtime difference, robustness at the critical points, and margins along the longest path. Numerical experiment sare conducted on a hypothetical example and a selected single track segment of the Pakistan Railways. Computational results reveal that it is not useful to add the time margins to all activites (e.g., running times, headways) in the timetable because not all components of margins are effective for the robustness of a timetable. Furthermore, the robustness is not statically quantifiable, since it may change with time and be associated with the way of the train’s interactions

Transcriptional profiling analysis in Populus yunnanensis provides insights into molecular mechanisms of sexual differences in salinity tolerance

Physiological responses to abiotic stress in plants exhibit sexual differences. Females usually experience greater negative effects than males; however, little is known about the molecular mechanisms of sexual differences in abiotic stress responses. In the present study, transcriptional responses to salinity treatments were compared between male and female individuals of the poplar Populus yunnanensis. It was found that several functional groups of genes involved in important pathways were differentially expressed, including photosynthesis-related genes, which were mainly up-regulated in males but down-regulated in females. This gene expression pattern is consistent with physiological observations showing that salinity inhibited photosynthetic capacity more in females than in males. Furthermore, genes located in autosomes rather than in the female-specific region of the W chromosome are the major contributors to the sexual differences in the salinity tolerance of poplars. In conclusion, this study provided molecular evidence of sexual differences in the salinity tolerance of poplars. The identified sex-related genes in salinity tolerance and their functional groups will enhance our understanding of sexual differences in salinity stress at the transcription level