nils-herrmann/clean_scirepeval huggingface dataset:
Cumulative ecological impacts of two successive annual treatments of imidacloprid and fipronil on aquatic communities of paddy mesocosms.
Venue: Ecotoxicology and environmental safety
Year: 2012

Agricultural landscapes, including paddies, play an important role in maintaining biodiversity, but this biodiversity has been under the threat of toxic agro chemicals. Our knowledge about how aquatic communities react to, and recover from, pesticides, particularly in relation to their residues, is deficient, despite the importance of such information for realistic environmental impact assessment of pesticides. The cumulative ecological impacts on aquatic paddy communities and their recovery processes after two successive annual applications of two systemic insecticides, imidacloprid and fipronil, were monitored between mid May and mid September each year. The abundance of benthic organisms during both years was significantly lower in both insecticide treated fields than in the controls. Large impacts of fipronil on aquatic arthropods were found after the two years. Growth of medaka fish, both adults and their juveniles, was affected by the application of the two insecticides. A Principal Response Curve analysis (PRC) showed the escalation and prolongation of changes in aquatic community composition by the successive annual treatments of each insecticide over two years. Residues of fipronil in soil, which are more persistent than those of imidacloprid, had a high level of impact on aquatic communities over time. For some taxonomic groups, particularly for water surface dwelling and water borne arthropods, the second annual treatment had far greater impacts than the initial treatment, indicating that impacts of these insecticides under normal use patterns cannot be accurately assessed during short term monitoring studies, i.e. lasting less than one year. It is concluded that realistic prediction and assessment of pesticide effects at the community level should also include the long term ecological risks of their residues whenever these persist in paddies over a year.
Self Paced Densely Connected Convolutional Neural Network for Visual Tracking
Venue: PRCV
Year: 2018

Convolutional neural networks (CNNs) have achieved surprising results in visual tracking. To address the model drift problem, we propose a novel self paced densely connected convolutional neural netwrok (SPDCT) to distinguish the reliable data from noisy and confusing data. In the proposed model, each sample is given a weight, which is estimated by SPDCT to indicate the reliability of the sample. The self paced learning framework is then integrated into the online update phase to improve the robustness of CNNs. In order to determine the pace parameter of self paced learning effectively, we propose an adaptive method based on the number of training samples. Meanwhile, with the aim of facilitating the representation power of the features, we enhance the feature reuse and the information flow by applying the densely connected learning. Extensive experimental results demonstrate competing performance of the proposed tracker over a number of state of the art algorithms.
TIGIT, A Novel Therapeutic Target for Tumor Immunotherapy
Venue: Immunological investigations
Year: 2017

Co inhibitory and co stimulatory receptors act in concert to regulate adaptive immune cell function, and the balance of these receptors is essential for the maintenance of immune homeostasis. Tumors constitute highly suppressive microenvironments in which elevated expression of co inhibitory receptors on tumor infiltrating lymphocytes (TILs) is often found. Functional blockade of the co inhibitory receptors such as cytotoxic T lymphocyte associated protein 4 (CTLA 4) and programmed cell death 1 (PD 1) have yielded encouraging outcomes in tumors, generating substantial interest in seeking for additional co inhibitory molecules that may act as potential interfering targets. T cell Ig and ITIM domain (TIGIT) is a newly identified co inhibitory receptor expressed by regulatory T cells (Tregs) activated T cells, and natural killer (NK) cells. Several groups reported consistently that TIGIT expression was elevated on CD8+ TILs and Tregs in a variety of tumors. Moreover, TIGIT blockade has exhibited therapeutic benefits in animal models of different tumors. Therefore, TIGIT upregulation plays an important role in tumor immunity and may serve as a promising therapeutic target for tumor management.
Modelling of magnetic components for power electronics: a circuit equivalent approach
Venue: 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
Year: 2019

The use of magnetic components in power electronics is becoming more and more demanding, as well as control systems are pushing these devices to work in precise working points of the magnetic characteristic. These control techniques improve the performance of the power device but force the designer to simulate more and more pushed. It is therefore necessary to find ways to model the magnetic properties of the materials used in order to perform accurate simulations. In this article is proposed a way to realize the model through equivalent circuits and applied to the study of a series of components (inductors, transformers, etc. intended for power electronics.
Evaluating PSO and MOPSO Equipped with Evolutionary Population Dynamics
Venue: Algorithms for Intelligent Systems
Year: 2019

This section presents, discusses and analyses the results of the proposed improved PSO and MOPSO. A variety of test functions with different characteristics and difficulties are employed to efficiently benchmark the performance of the proposed PSO\)EPD and MOPSO\)EPD algorithms. The results are collected and presented quantitatively and qualitatively.
The effects of border control and quarantine measures on global spread of COVID 19
Venue: medRxiv
Year: 2020

The rapid expansion of coronavirus (COVID 19) has been observed in many parts of the world. Many newly reported cases of this new coronavirus during early outbreak phases have been associated with travel history from an epidemic region (identified as imported cases) For those cases without travel history, the risk of wider spreads through community contact is even higher. However, most population models assume a homogeneous infected population without considering that the imported and secondary cases contracted by the imported cases can pose a different risk to community spread. We have developed an "easy to use" mathematical framework extending from a meta population model embedding city to city connections to stratify the dynamics of transmission waves caused by imported, secondary, and others from an outbreak source region when control measures are considered. Using the dynamics of the secondary cases, we are able to determine the probability of community spread. Using the top 10 visiting cities from Wuhan in China as an example, we first demonstrated that the arrival time and the dynamics of the outbreaks at these cities can be successfully predicted under the reproductive number R0 2.92 and latent period t 5.2 days. Next, we showed that although control measures can gain extra 32.5 and 44.0 days in arrival time through a high intensive border control measure and a shorter time to quarantine under a low R0 (1.4) if the R0 is higher (2.92) only 10 extra days can be gained for each of the same measures. This suggests the importance of lowering the incidence at source regions together with infectious disease control measures in susceptible regions. The study allows us to assess the effects of border control and quarantine measures on the emergence and the global spread in a fully connected world using the dynamics of the secondary cases.
Cyclic lateral response of piles in dry sand Effect of pile slenderness
Year: 2017

During the past decades, many wars were trigged in the world and in particularly in the Middle East region. Those wars destroyed structure and foundations of buildings and bridges due to dynamical loads generated by explosions. Those explosions generate lateral dynamic loads which are not generally considered in pile foundation design and which can damage them. To assess the behavior of a pile under lateral load, the foundation French code "Fasicule 62 titre V" define three types of pile according to their flexibility: rigid, semi rigid and flexible. In order to statue the behavior of each type of pile under lateral cyclic load we have performed a finite element analysis model using the finite element software package PLAXIS 2D Dynamics, in conjunction with Hardening Soil model with small strain stiffness. The constitutive model was first calibrated and validated using measured data from centrifuge tests on a monopile in Fontainebleau sand that have been conducted in "Laboratoire Centrale des Ponts et Chaussees" by Rosquoet F (2004) A series of analyses were then carried out where cyclic lateral loads were applied to the pile for investigating pile slenderness effects on a monopile. Results from the study show that the head displacement of flexible and semi rigid pile increases according to the number of cycle following a logarithmic function. However, for the rigid pile, the head displacements increase in a linear function.
Electrical resistivity and induced polarization techniques for groundwater exploration
Year: 2018

Electrical resistivity and induced polarization surveys have been conducted for groundwater exploration at two different sites of geological aged i.e. Carboniferous and Quaternary. This study discussed the earth materials resistivity and chargeability for metasedimentary rock and unconsolidated sediment for groundwater exploration at Kampung Jongok Batu, Dungun and Kampung Paya Rawa, Besut, respectively. For this study Terrameter LS2, cable, electrode, cable connector, battery and remote cable are tools for measurement. The spacing between electrodes is 5 m, maximum length of spread line is 400 m and using Pole Dipole protocol. Via comparing between the resistivity and chargeability values able to provide better interpretation for ground water exploration for metasedimentary rock and unconsolidated quaternary sediment. The result shows the important of chargeability for refining the resistivity value for locating the groundwater position.
Model of Knowledge Management via Social Media to Enhance Graduated Student's Self Directed Learning Skill
Year: 2015

This research aims to develop the model of knowledge management and social media technology that appropriate with teaching and learning for graduated student, in particular to enhance graduated student's self directed learning skill and practices that including knowledge management process: creating, analyzing, nurturing, disseminating, and optimizing as part of the teaching and learning activity. In this process which driven by social media tools: Facebook, twitter, YouTube, Wikis, and blogs it's has a necessary role to drive and integrate knowledge and learning activities within the knowledge management process, and the self directed learning skill steps included planning, strategy, motivation, monitoring, evaluating, and summary. In this respect, this research explored the appropriate model of knowledge management via social media that enhance the graduate student's self directed learning skill.
Basic teledermatology solving 2 cases of crusted scabies
Venue: Dermatologic therapy
Year: 2020

Dear Editor, Telemedicine has been available for several years, but the pandemic of coronavirus disease 2019 (COVID 19) has highlighted its importance as an immediate, safe, and high standard of care. Dermatology is among the most suited specialties for teleassistance, as its visual nature allows for an expert opinion without the need for an in person referral. Here, we present two cases of crusted scabies that were successfully diagnosed and treated with the help of teledermatology.
Connections Between Long Genetic and Literary Texts. The Quantum Algorithmic Modelling
Venue: Advances in Computer Science for Engineering and Education II
Year: 2019

The article is devoted to a development of quantum biology as a known scientific direction, which can give new decisions for various fields of science and technology. More precisely, the article describes some deep analogies between the structural organisation of long DNA sequences and of long literary texts; in addition, applications of formalisms of quantum informatics for modeling phenomenological results are shown. The described results support thoughts of some authors that linguistic languages are a continuation of the genetic language and that formalisms of quantum informatics can be effectively used for modelling and understanding biological structures. The author believes that the further usage of the concepts and formalisms of quantum informatics in genetics and bioinformatics will lead to the development of quantum algorithmic bioinformatics, achievements of which will be useful, in particular, for a creation of systems of artificial intelligence.
Nickel extraction from nickel matte
Year: 2018

In present work, the results of research activities to make nickel metal from nickel matte are presented. The research activities were covering a) nickel matte characterization using Inductively Couple plasma (ICP) Electron Probe Micro Analyzer (EPMA) and X Ray Diffraction (XRD) b) nickel matte dissolution process to dissolve nickel from nickel matte into the spent electrolyte solutions that contains hydrochloric acid, c) purification of nickel chloride leach solution by copper cementation process to remove copper using nickel matte, selective precipitation process to remove iron, solvent extraction using Tri normal octyl amine to separate cobalt from nickel chloride solutions and d) Nickel electro winning process to precipitate nickel into the cathode surface from purified nickel chloride solution by using direct current. The research activities created 99, 72 pure nickel metal as the final product of the process.
Impacto social del desarrollo de la industria azucarera en la region del Guacanayabo (1902 1934) (Revision)
Year: 2019

espanolEste articulo hace referencia al impacto social del desarrollo de la industria azucarera en la region del Guacanayabo. En tal sentido, se define para su estudio, el periodo comprendido entre 1902 y 1934, donde se evidencia el impacto continuo que experimenta el desarrollo de la industria azucarera en la sociedad de la region del Guacanayabo. Para el analisis de esta etapa, se realiza un estudio de documentos historicos del Archivo Historico Municipal de Manzanillo, Archivo Historico Municipal de Niquero, Casa de la Nacionalidad Cubana, revistas y periodicos de la etapa. El estudio permite la profundizacion de la realidad social en la etapa. EnglishThis article makes reference to the social impact of the development of the Sugar Industry in the Guacanayabo region. In that case it is defined for its study the period between 1902 y 1934, where is evident the continuous impact that experiment the the development of the sugar industry in the society in the Guacanayabo region. For the analysis of this stage it is made a study of historical documents of the Municipal Historical Archive of Manzanillo, Municipal Historical of Niquero, Cuban Nationality House, magazines and newspapers of this stage. The study allows the deepening of the social in this stage.
CD36 Mediated Metabolic Rewiring of Breast Cancer Cells Promotes Resistance to HER2 Targeted Therapies
Venue: Cell reports
Year: 2019

Although it is established that fatty acid (FA) synthesis supports anabolic growth in cancer, the role of exogenous FA uptake remains elusive. Here we show that, during acquisition of resistance to HER2 inhibition, metabolic rewiring of breast cancer cells favors reliance on exogenous FA uptake over de novo FA synthesis. Through cDNA microarray analysis, we identify the FA transporter CD36 as a critical gene upregulated in cells with acquired resistance to the HER2 inhibitor lapatinib. Accordingly, resistant cells exhibit increased exogenous FA uptake and metabolic plasticity. Genetic or pharmacological inhibition of CD36 suppresses the growth of lapatinib resistant but not lapatinib sensitive cells in vitro and in vivo. Deletion of Cd36 in mammary tissues of MMTV neu mice significantly attenuates tumorigenesis. In breast cancer patients, CD36 expression increases following anti HER2 therapy, which correlates with a poor prognosis. Our results define CD36 mediated metabolic rewiring as an essential survival mechanism in HER2 positive breast cancer.
Kunstliche Intelligenz in der Plastischen Chirurgie
Venue: Der Chirurg
Year: 2019

Hintergrund Kunstliche Intelligenz (KI) ist durch die Instrumentalisierung von Maschinen und Robotik in der Industrie, durch das autonome Fahren und die rasante Entwicklung computerbasierter Systeme langst Bestandteil unseres taglichen Lebens. Fragestellung Darstellung aktueller Entwicklungen und Perspektiven von KI in der Plastischen Chirurgie. Material und Methoden Auswertung von Statistiken, Evaluation von Originalarbeiten und Ubersichtsarbeiten aus Fachzeitschriften. Ergebnisse Im Gesundheitswesen und in der Plastischen Chirurgie wird KI im klinischen Alltag im Rahmen der Datenauswertung digitaler Patientenakten oder der Big Data aus zentralen Registern verwendet. 3 D Bildgebungssysteme mit intelligenter Software konnen Operationsergebnisse im Hinblick auf Volumen und Asthetik beurteilen. Intelligente Roboter unterstutzen die mikrochirurgische Anastomosierung immer kleinerer Gefasse und die Implementation von KI im Bereich der Prothetik ermoglicht Patienten eine immer bessere Handfunktion nach Amputationsverletzungen. Diskussion Im Sinne der Patienten liegt es in der Verantwortung der experimentellen Chirurgie, die Chancen, Risiken und auch Grenzen von KI Anwendungen zu erforschen.  Artificial intelligence (AI) has long been established in various parts of everyday life due to the instrumentalization of machines and robotics in industry, autonomous vehicles and the rapid development of computer based systems.  Demonstration of current developments and perspectives of AI in plastic surgery.  Evaluation of statistics, press releases and original articles from journals and discussion of reviews.  In the healthcare system and in plastic surgery AI is particularly useful in the context of data analysis from digital patient files and big data from central registers. The use of 3D imaging systems provides objective feedback on surgical results in terms of volume and aesthetics. Intelligent robots assist plastic surgeons in microsurgical anastomoses of increasingly smaller vessels and the implementation of AI in the field of prosthetics enables patients to regain hand function following amputation injuries.  For the benefit of the patients, it is the responsibility of experimental surgery to explore the opportunities, risks and limitations of applications with AI.
Oral 15 Hydroxyeicosatetraenoic Acid Induces Pulmonary Hypertension in Mice by Triggering T Cell Dependent Endothelial Cell Apoptosis
Venue: Hypertension
Year: 2020

Supplemental Digital Content is available in the text. Pulmonary arterial hypertension (PAH) is a fatal disease characterized by increased mean pulmonary arterial pressure. Elevated plasma and lung concentrations of oxidized lipids, including 15 hydroxyeicosatetraenoic acid (15 HETE) have been demonstrated in patients with PAH and animal models. We previously demonstrated that feeding mice with 15 HETE is sufficient to induce pulmonary hypertension, but the mechanisms remain unknown. RNA sequencing data from the mouse lungs on 15 HETE diet revealed significant activation of pathways involved in both antigen processing and presentation and T cell mediated cytotoxicity. Analysis of human microarray from patients with PAH also identified activation of identical pathways compared with controls. We show that in both 15 HETE fed mice and patients with PAH, expression of the immunoproteasome subunit 5 is significantly increased, which was concomitant with an increase in the number of CD8/CD69 (cluster of differentiation 8 cluster of differentiation 69) double positive cells, as well as pulmonary arterial endothelial cell apoptosis in mice. Human pulmonary arterial endothelial cells cultured with 15 HETE were more prone to apoptosis when exposed to CD8 cells. Cultured intestinal epithelial cells secreted more oxidized lipids in response to 15 HETE, which is consistent with accumulation of circulating oxidized lipids in 15 HETE fed mice. Administration of an apoA I (apolipoprotein A I) mimetic peptide, Tg6F (transgenic 6F) which is known to prevent accumulation of circulating oxidized lipids, not only inhibited pulmonary arterial endothelial cell apoptosis but also prevented and rescued 15 HETE induced pulmonary hypertension in mice. In conclusion, our results suggest that (1) 15 HETE diet induces pulmonary hypertension by a mechanism that involves oxidized lipid mediated T cell dependent pulmonary arterial endothelial cell apoptosis and (2) Tg6F administration may be a novel therapy for treating PAH.
The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection
Venue: NeurIPS
Year: 2019

Modern photo editing tools allow creating realistic manipulated images easily. While fake images can be quickly generated, learning models for their detection is challenging due to the high variety of tampering artifacts and the lack of large labeled datasets of manipulated images. In this paper, we propose a new framework for training of discriminative segmentation model via an adversarial process. We simultaneously train four models: a generative retouching model G_R that translates manipulated image to the real image domain, a generative annotation model G_A that estimates the pixel wise probability of image patch being either real or fake, and two discriminators D_R and D_A that qualify the output of G_R and G_A. The aim of model G_R is to maximize the probability of model G_A making a mistake. Our method extends the generative adversarial networks framework with two main contributions: (1) training of a generative model G_R against a deep semantic segmentation network G_A that learns rich scene semantics for manipulated region detection, (2) proposing per class semantic loss that facilitates semantically consistent image retouching by the G_R. We collected large scale manipulated image dataset to train our model. The dataset includes 16k real and fake images with pixel level annotations of manipulated areas. The dataset also provides ground truth pixel level object annotations. We validate our approach on several modern manipulated image datasets, where quantitative results and ablations demonstrate that our method achieves and surpasses the state of the art in manipulated image detection. We made our code and dataset publicly available.