A New Image Quality Database for Multiple Industrial Processes

Recent years have witnessed a broader range of applications of image processing technologies in multiple industrial processes, such as smoke detection, security monitoring, and workpiece inspection. Different kinds of distortion types and levels must be introduced into an image during the processes of acquisition, compression, transmission, storage, and display, which might heavily degrade the image quality and thus strongly reduce the final display effect and clarity. To verify the reliability of existing image quality assessment methods, we establish a new industrial process image database (IPID), which contains 3000 distorted images generated by applying different levels of distortion types to each of the 50 source images. We conduct the subjective test on the aforementioned 3000 images to collect their subjective quality ratings in a well-suited laboratory environment. Finally, we perform comparison experiments on IPID database to investigate the performance of some objective image quality assessment algorithms. The experimental results show that the state-of-the-art image quality assessment methods have difficulty in predicting the quality of images that contain multiple distortion types

Implications of Ape1 in reactive oxygen signaling response following cisplatin treatment of dorsal root ganglion neurons

Peripheral neuropathy is one of the major side-effects of the anticancer drug, cisplatin. Although previous work suggests that this neuropathy correlates with formation of DNA adducts in sensory neurons, growing evidence suggests that cisplatin also increases the generation of reactive oxygen species (ROS), which could cause DNA damage. Apurinic/apyrimidinic endonuclease/redox factor-1 (Ape1/Ref-1) is a multifunctional protein involved in DNA base excision repair (BER) of oxidative DNA damage and in redox regulation of a number of transcription factors. Therefore, we asked whether altering Ape1 functions would influence cisplatin induced neurotoxicity. Sensory neurons in culture were exposed to cisplatin for 24 hrs and several endpoints of toxicity were measured including production of ROS, cell death, apoptosis, and release of the immunoreactive calcitonin gene-related peptide (iCGRP). Reducing expression of Ape1 in neuronal cultures using siRNA enhances cisplatin-induced cell killing, apoptosis, ROS generation and the cisplatin-induced reduction in iCGRP release. Overexpressing wild-type (WT)-Ape1 attenuates all the toxic effects of cisplatin in cells containing normal endogenous levels of Ape1 and in cells with reduced Ape1 levels following Ape1siRNA treatment. Overexpressing the redox deficient/repair competent C65-Ape1 provides partial rescue, while the repair deficient Ape1 (N226A+R177A) does not protect neurons from cisplatin toxicity. We also observe an increase in phosphorylation of p53 following a decrease in Ape1 levels in sensory neuronal cultures. These results strongly support the notion that Ape1 is a potential translational target such that protecting Ape1 levels and particularly its DNA repair function could reduce peripheral neuropathy in patients undergoing cisplatin treatment

Epidermal growth factor receptor restoration rescues the fatty liver regeneration in mice

Hepatic steatosis is a common histological finding in obese patients. Even mild steatosis is associated with delayed hepatic regeneration and poor outcomes following liver resection or transplantation. We sought to identify and target molecular pathways that mediate this dysfunction. Lean mice and mice made obese through feeding of a high-fat, hypercaloric diet underwent 70 or 80% hepatectomy. After 70% resection, obese mice demonstrated 100% survival but experienced increased liver injury, reduced energy stores, reduced mitoses, increased necroapoptosis, and delayed recovery of liver mass. Increasing liver resection to 80% was associated with mortality of 40% in lean and 80% in obese mice (P < 0.05). Gene expression profiling showed decreased epidermal growth factor receptor (EGFR) in fatty liver. Meta-analysis of expression studies in mice, rats, and patients also demonstrated reduction of EGFR in fatty liver. In mice, both EGFR and phosphorylated EGFR decreased with increasing percent body fat. Hydrodynamic transfection of EGFR plasmids in mice corrected fatty liver regeneration, reducing liver injury, increasing proliferation, and improving survival after 80% resection. Loss of EGFR expression is rate limiting for liver regeneration in obesity. Therapies directed at increasing EGFR in steatosis might promote liver regeneration and survival following hepatic resection or transplantation

Reduced Expression of DNA Repair and Redox Signaling Protein APE1/Ref-1 Impairs Human Pancreatic Cancer Cell Survival, Proliferation, and Cell Cycle Progression

Pancreatic cancer is a deadly disease that is virtually never cured. Understanding the chemoresistance intrinsic to this cancer will aid in developing new regimens. High expression of APE1/Ref-1, a DNA repair and redox signaling protein, is associated with resistance, poor outcome, and angiogenesis; little is known in pancreatic cancer. Immunostaining of adenocarcinoma shows greater APE1/Ref-1 expression than in normal pancreas tissue. A decrease in APE1/Ref-1 protein levels results in pancreatic cancer cell growth inhibition, increased apoptosis, and altered cell cycle progression. Endogenous cell cycle inhibitors increase when APE1/ Ref-1 is reduced, demonstrating its importance to proliferation and growth of pancreatic cancer

Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports

With the rapid development of the internet technology, a large amount of internet text data can be obtained. The text classification (TC) technology plays a very important role in processing massive text data, but the accuracy of classification is directly affected by the performance of term weighting in TC. Due to the original design of information retrieval (IR), term frequency-inverse document frequency (TF-IDF) is not effective enough for TC, especially for processing text data with unbalanced distributions in internet media reports. Therefore, the variance between the DF value of a particular term and the average of all DFs , namely, the document frequency variance (ADF), is proposed to enhance the ability in processing text data with unbalanced distribution. Then, the normal TF-IDF is modified by the proposed ADF for processing unbalanced text collection in four different ways, namely, TF-IADF, TF-IADF+, TF-IADFnorm, and TF-IADF+norm. As a result, an effective model can be established for the TC task of internet media reports. A series of simulations have been carried out to evaluate the performance of the proposed methods. Compared with TF-IDF on state-of-the-art classification algorithms, the effectiveness and feasibility of the proposed methods are confirmed by simulation results

To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles

Explainable AI, in the context of autonomous systems, like self driving cars, has drawn broad interests from researchers. Recent studies have found that providing explanations for an autonomous vehicle actions has many benefits, e.g., increase trust and acceptance, but put little emphasis on when an explanation is needed and how the content of explanation changes with context. In this work, we investigate which scenarios people need explanations and how the critical degree of explanation shifts with situations and driver types. Through a user experiment, we ask participants to evaluate how necessary an explanation is and measure the impact on their trust in the self driving cars in different contexts. We also present a self driving explanation dataset with first person explanations and associated measure of the necessity for 1103 video clips, augmenting the Berkeley Deep Drive Attention dataset. Additionally, we propose a learning based model that predicts how necessary an explanation for a given situation in real time, using camera data inputs. Our research reveals that driver types and context dictates whether or not an explanation is necessary and what is helpful for improved interaction and understanding.Comment: 9.5 pages, 7 figures, submitted to UIST202

Numerical analysis of initial imperfection influence on the performance of buckling-restrained brace

Potrebno je razmotriti interakciju između jezgre i vanjskih ograničavajućih elemenata kod spojnice ograničenog izvijanja (buckling-restrained brace - BRB) zbog značajnog učinka na ukupnu performansu spojnica. Mehanizam deformacije elementa jezgre u obliku nekoliko valova, po prvi se puta analizira u ovom istraživanju i predstavlja element jezgre kao savojni valoviti oblik s povećavajućim aksijalnim opterećenjem te pokazuje distribuciju i razvoj dodirne sile između vanjskih i ograničavajućih elemenata jezgre analizom konačnih elemenata. Objektno orijentiran programski jezik Python primijenjen je u ABAQUS parametrijskoj analizi, a također se analiziraju utjecaji inicijalne nesavršenosti jezgre i vanjskih elemenata ograničenja kao i amplitude razmaka na performansu BRB. Rezultati numeričke simulacije pokazuju da je povratno savijanje elementa jezgre rezultiralo iznenadnim izvijanjem kod viših tipova oscilacije kao i sveukupno smanjenje naprezanja u vanjskom ograničavajućem elementu, dok je lokalno naprezanje poraslo s razvojem valovitog oblika deformacije jezgre. Spojnica (BRB) s jezgrom simetrične inicijalne nesavršenosti funkcionirala je lošije od one s jezgrom protu-simetrične početne nesavršenosti u kompresiji. Nadalje, manji početni progib vanjskih ograničavajućih elemenata i amplitude razmaka rezultira manjom dodirnom silom te spojnica može stoga učinkovitije funkcionirati.The interaction between the core and external restraining members of the buckling-restrained brace (BRB) should be considered because of the significant effect it may cause on the overall performance of BRBs. The mechanism of core member multi-wave deformation is studied for the first time in this research, which presents an actual flexural wave-shape development of core member with increasing axial load and reveals the contact force distribution and development between the core and external restraining members by employing the refined finite element (FE) analysis. The object-oriented programming language Python is applied in the ABAQUS parameter analysis, and the influences of initial imperfection of the core and external restraining members, as well as that of the gap amplitude, on BRB performance are also investigated. Numerical simulation results show that the reverse bending of core member triggered sudden buckling in high-order modes, as well as the overall stress decrease in the external restraining member, whereas the local stress increased with the development of the core deformation waveform. The BRB with the core of symmetric initial imperfection performed worse than that with the core of anti-symmetric initial imperfection in compression. Furthermore, less initial deflection of external restraining members and gap amplitude leads to smaller contact force, thus the BRB can perform more effectively