nils-herrmann/clean_scirepeval huggingface dataset:
Punishment or Protest? Understanding European Parliament Elections
Year: 2015

After six sets of European Parliament elections, do voters primarily use these elections to punish their national governments or to express their views on European issues? We answer this question by looking at all European elections (1979 2004) in all 25 EU states. We find that almost 40% of the volatility in party vote shares in European elections compared to national elections is explained by the transfer of votes from large and governing parties to small and opposition parties. Nevertheless, anti EU parties and green parties on average do better in European elections than in national elections. But these "European effects" are minor, and the position a party takes on Europe is largely irrelevant to its performance. Hence, despite the growing powers of the European Parliament, neither positions on matters regarding European integration, nor on matters regarding "normal" left right policy, have much of an effect on electoral outcomes.
Dilated Recurrent Neural Network for Short time Prediction of Glucose Concentration
Venue: KHD@IJCAI
Year: 2018

Diabetes is one of the diseases affecting 415 million people in the world. Developing a robust blood glucose (BG) prediction model has a profound influence especially important for the diabetes management. Subjects with diabetes need to adjust insulin doses according to the blood glucose levels to maintain blood glucose in a target range. An accurate glucose level prediction is able to provide subjects with diabetes with the future glucose levels, so that proper actions could be taken to avoid shortterm dangerous consequences or long term complications. With the developing of continuous glucose monitoring (CGM) systems, the accuracy of predicting the glucose levels can be improved using the machine learning techniques. In this paper, a new deep learning technique, which is based on the Dilated Recurrent Neural Network (DRNN) model, is proposed to predict the future glucose levels for prediction horizon (PH) of 30 minutes. And the method also can be implemented in real time prediction as well. The result reveals that using the dilated connection in the RNN network, it can improve the accuracy of short time glucose predictions significantly (RMSE 19.04 in the blood glucose level prediction (BGLP) on and only on all data points provided)
Wireless Home Automation Control Using Voice Recognition Based on HM2007
Venue: University of Thi Qar Journal
Year: 2019

This paper introduced design and implementation of wireless home automation system (WHAM) which is developed using an Arduino microcontroller, Bluetooth wireless communication technology, and voice recognition based on HM2007. Software Development Kit HM2007 is embedded system to detect and recognize human voice commands and it converts into binary format and send respective digital representations to the microcontroller. The microcontroller then interprets these data signals, compares them with a database and thus identifies the referred load and its desired state. A Bluetooth module was added to microcontroller, so as to control lights and electrical appliances in the home. This system is most suitable for the elderly and the disabled persons, especially those who live alone and since recognize voice so it is secure. The response time is 1.2 sec which is efficient in these applications.
Bacterial secretion system skews the fate of Legionella containing vacuoles towards LC3 associated phagocytosis
Venue: Scientific reports
Year: 2017

The evolutionarily conserved processes of endosome lysosome maturation and macroautophagy are established mechanisms that limit survival of intracellular bacteria. Similarly, another emerging mechanism is LC3 associated phagocytosis (LAP) Here we report that an intracellular vacuolar pathogen, Legionella dumoffii, is specifically targeted by LAP over classical endocytic maturation and macroautophagy pathways. Upon infection, the majority of L. dumoffii resides in ER like vacuoles and replicate within this niche, which involves inhibition of classical endosomal maturation. The establishment of the replicative niche requires the bacterial Dot/Icm type IV secretion system (T4SS) Intriguingly, the remaining subset of L. dumoffii transiently acquires LC3 to L. dumoffii containing vacuoles in a Dot/Icm T4SS dependent manner. The LC3 decorated vacuoles are bound by an apparently undamaged single membrane, and fail to associate with the molecules implicated in selective autophagy, such as ubiquitin or adaptors. The process requires toll like receptor 2, Rubicon, diacylglycerol signaling and downstream NADPH oxidases, whereas ULK1 kinase is dispensable. Together, we have discovered an intracellular pathogen, the survival of which in infected cells is limited predominantly by LAP. The results suggest that L. dumoffii is a valuable model organism for examining the mechanistic details of LAP, particularly induced by bacterial infection.
Low wave speed zones in the crust beneath SE Tibet revealed by ambient noise adjoint tomography
Year: 2014

We present a refined 3D crustal model beneath SE Tibet from ambient noise adjoint tomography. Different from ray theory based tomography, adjoint tomography in this study incorporates a spectral element method (SEM) and takes empirical Green's functions (EGFs) of Rayleigh waves from ambient noise interferometry as the direct observation. The frequency dependent traveltime misfits between SEM synthetic Green's functions and EGFs are minimized with a preconditioned conjugate gradient method, meanwhile the 3D model gets improved iteratively utilizing 3D finite frequency kernels. The new model shows 3 6% shear wave speed increasing beneath the western Sichuan Basin (SCB) (depth 15 km) and the central Chuan Dian Block (CDB) and 6 12% shear wave speed reduction in the mid lower crust beneath the northern and the southern CDB. The inferred spatial pattern of low wave speed zones, consistent with possible partial melt, suggests more complex and disconnected geometry than the pervasive narrow zone from the channel flow models.
What is the real cost of our food? Implications for the environment, society and public health nutrition
Venue: Public Health Nutrition
Year: 2011

The current, globalised food system supplies 'cheap' food to a large proportion of the world's population, but with significant social, environmental and health costs that are poorly understood. The present paper examines the nature and extent of these costs for both rural and urban communities, by illustrating the financial pressures on food producers and manufacturers to produce cheap food, the disconnection people experience with how and where their food is produced, and the rise in obesity levels that plague the globe. The paper then proposes that community food systems may play an important role in mitigating the adverse environmental, economic and social effects of the dominant food system, by the use of more sustainable food production methods, the development of local economies and enabling closer connections between farmers and consumers. There are many opportunities for public health nutritionists to contribute to the local food system literature to ascertain whether these systems improve inequities, provide better access to healthy food and help stem the tide of rising global obesity levels. Public health nutritionists can play a key role in supporting people to become food citizens and to advocate for democratic and sustainable food systems.
Epidemiological, Ecological, and Public Health Effects of Antibiotics and AMR/ARGs
Year: 2020

Worldwide morbidity and mortality caused by infectious diseases is high, mandating high rates of antibiotic use among humans and animals. Antibiotics of anthropogenic origin often contaminate the environment. The arising ecological pressure results in alteration of bacterial "biomes," high resistance rates in environmental microorganisms, and increase in the gene pool which contributes to antibiotic resistance. A number of such antibiotic resistance genes are carried on mobile genetic elements that can easily be exchanged between bacteria. The ecological net effect is an expanding population of resistant organisms contributing to spread of antibiotic resistance in both the clinical and the nonclinical environments. In nonclinical environments, antibiotics upset the natural symbiotic balance between microorganism and macroorganism communities. In clinical environments, while therapeutic antibiotic adverse effects are easily observed, the, impact of sub inhibitory concentrations of antimicrobials on human health are less apparent and require investigations. In summary, impact of antimicrobial resistance is extensive, threatening not just health and food safety but also our environment. Actions are thus required to both safeguard efficacies of antimicrobial agents, and also to protect the environment from damage by them.
A Spatial Analysis of Gaziantep Railway and Its Station Throughout History
Year: 2020

The invention and proliferation of railways around the world emerged from the need for transport networks that would facilitate the movement of industrial goods produced during the Industrial Revolution. They were introduced to the Anatolian region in the late Ottoman period and gained importance as an indispensable part of the internal market in a new nation state, the Republic of Turkey. Thanks to its location on the Silk Road, Gaziantep city in the southeastern part of Turkey, has always been a particularly important node on commercial routes. The present study describes the introduction of railways to Gaziantep province and the effects of Gaziantep Railway Station on the city at an urban and structural scale. Although the first city plan was the Barsumyan Nazaryan Plan (1920s) the railway system was introduced as a design object to Gaziantep City in the Jansen Plan (1938) and followed by the Aru Soylemezoglu Plan (1950) Gaziantep Plan (1973) and Oguz Aldan Plan (1990) It can be concluded that its late introduction to Gaziantep delayed its integration with the transportation network covering other Anatolian cities at an urban and spatial level from an urban design perspective.
The Bielefeld Longitudinal Study of Adult Twins (BiLSAT)
Venue: Twin Research and Human Genetics
Year: 2012

The Bielefeld Longitudinal Study of Adult Twins (BiLSAT) is a German longitudinal study of monozygotic and dizygotic twins reared together, including more than 1,100 twin pairs aged between 14 and 80 who participated in the first wave. Data were collected at five waves of assessment between 1993 and 2009. Initially, the study focused on genetic and environmental influences on the structure and the development in adult temperament and personality. Today, the study includes a broad range of individual variables, such as personality disorders, major life goals, interests, attitudes, values, life and work satisfaction, and major life events. A special feature of this genetically informative study lies in the multiple rater approach (i.e. self reports and peer reports) Longitudinal multiple rater analyses allow researchers to go beyond the basic nature nurture decomposition of variance in self reports examining genetic and environmental influences on stability and change in more accurately measured individual attributes. In the current article, we briefly describe the design and contents of BiLSAT as well as some recent major findings and future plans.
Automatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes
Venue: ISPRS Int. J. Geo Inf.
Year: 2019

In the domain of computer vision, object recognition aims at detecting and classifying objects in data sets. Model driven approaches are typically constrained through their focus on either a specific type of data, a context (indoor, outdoor) or a set of objects. Machine learning based approaches are more flexible but also constrained as they need annotated data sets to train the learning process. That leads to problems when this data is not available through the specialty of the application field, like archaeology, for example. In order to overcome such constraints, we present a fully semantic guided approach. The role of semantics is to express all relevant knowledge of the representation of the objects inside the data sets and of the algorithms which address this representation. In addition, the approach contains a learning stage since it adapts the processing according to the diversity of the objects and data characteristics. The semantic is expressed via an ontological model and uses standard web technology like SPARQL queries, providing great flexibility. The ontological model describes the object, the data and the algorithms. It allows the selection and execution of algorithms adapted to the data and objects dynamically. Similarly, processing results are dynamically classified and allow for enriching the ontological model using SPARQL construct queries. The semantic formulated through SPARQL also acts as a bridge between the knowledge contained within the ontological model and the processing branch, which executes algorithms. It provides the capability to adapt the sequence of algorithms to an individual state of the processing chain and makes the solution robust and flexible. The comparison of this approach with others on the same use case shows the efficiency and improvement this approach brings.
The Credit Risk Relevance of Bank Loan Loss Provisions Under IFRS 9: Early Evidence
Year: 2020

Since the first fiscal quarter of 2018, banks have implemented a new expected credit loss (ECL) model to estimate loan loss provisions (LLPs) under International Financial Reporting Standard (IFRS) 9, which replaces the incurred loss model under International Accounting Standard (IAS) 39. The major difference in provisioning approaches between the two models is the incorporation of forward looking information under the IFRS 9 ECL model. This paper examines whether IFRS 9 improves the credit risk relevance of LLPs for credit default swap (CDS) market participants. The findings suggest that LLPs under IFRS 9 are marginally more credit risk relevant than under IAS 39. Moreover, LLPs under IFRS 9, to a greater extent than under the IAS 39 regime, affect the pricing of credit risk for longer CDS maturities. This finding is consistent with the IFRS 9 ECL model that provides a more forward looking measure of credit risk. Finally, cross sectional tests highlight the importance of institutional features that play a significant role in the relevance of accounting information. To address endogeneity concerns, I implement a dynamic panel data two step model and a two stage instrumental variable approach. These alternative tests confirm the enhancement of the credit risk relevance of LLPs following the adoption of IFRS 9.
Spintronics based Systems for AI Nano Robots
Venue: 2018 International Conference on Computing, Power and Communication Technologies (GUCON)
Year: 2018

In very near future human blood will be streaming with tiny nanorobots to get exact information about the infected cells or as intelligent drug delivery system and transmit the information to wireless cloud. Accordingly, low power and low dimensional electronics technology needs to be incorporated in a single agenda to show the path for development of these types of robots. Hence, the idea is to build low power, low dimensional nano robotic system which can be achieved by new generation ULSI hardware implementation. As an attempt towards this, here we present a straintronics based nano robotic system and its ULSI architecture. Straintronics or strain based spin electronics is an emerging field of IC fabrication technology for modern and future electronics. In straintronics data manipulate, control and store with spin degree of freedom. Electron spin instead of electron charge carries information in these devices. Hence, it requires very low power to operate and also the device can generate its own power from any stress upon it. This aspect offers opportunities for development of new generation of nano robotic devices with spin based electronics.
O ciclo economico em Kalecki, Schumpeter e seus interpretes Possas e Minsky
Year: 2015

A presente dissertacao tem como objetivo apresentar as teorias do ciclo economico elaboradas por Kalecki e Schumpeter, expor as suas diferencas e destacar seus pontos de convergencia. Por meio de uma analise sistematica das obras destes autores, se averiguou que eles se distinguiram no enfoque sobre o tema. Kalecki apresentou uma teoria do ciclo baseada em um estudo sobre a demanda, enquanto Schumpeter demonstrou o ciclo por meio da sua analise sobre a oferta. Esses autores serviram de referencia para diversos estudos sobre o tema, entre eles os realizados por Possas e Minsky, que tambem tem suas teorias aqui expostas. Pretendeu se demonstrar como Possas e Minsky conseguiram reunir elementos Kaleckianos e Schumpeterianos para compor suas respectivas teorias. Por fim, defende se que as teorias de Kalecki e Schumpeter sobre o ciclo economico sao complementares e que as teorias elaboradas por Possas e Minsky ajudam a comprovar esta conclusao.
Graph Theoretic Approach for Cache Placement and Delay optimization in Cache Enabled Mobile Networks
Venue: 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2018

Caching at base stations (BSs) is a promising scheme to alleviate the traffic burden in mobile communication systems. In this paper, we aim to minimize the average delay of all users in the cache enabled mobile network where the BSs can exchange data with each other via X2 interface. We jointly consider cache placement and user association problems and employ graph theory to deal with the optimization task. For a given network graph, we aim to find the maximum cliques and place different files in the maximum clique so as to improve local cache hit probability. In the user association procedure, we make the BSs which store the requested files of users serve these users as many as possible. Simulation results show that our proposed algorithm yields the lowest delay among the other representative algorithms.
Hemolytic Disease of the Fetus and Newborn
Venue: Blood Groups
Year: 2019

Hemolytic disease of the fetus and newborn (HDFN) also called as "erythroblastosis fetalis" is characterized by the increased rate of red blood cells (RBCs) destruction. Hemolysis should always be investigated even if the anemia is mild and apparently trivial. The principle clues which suggest hemolytic anemia includes: increased number of reticulocytes and/or circulating nucleated RBCs, unconjugated hyperbilirubinemia, a positive direct antiglobulin test and characteristic changes in red cells in the blood films. Based on etiology, hemolysis in newborn can be immune or non immune mediated. The immune mediated hemolysis due to blood group incompatibility between the mother and the fetus is the main cause of HDFN.
Impacts of Human Recreation on Brown Bears (Ursus arctos) A Review and New Management Tool
Venue: PloS one
Year: 2016

Increased popularity of recreational activities in natural areas has led to the need to better understand their impacts on wildlife. The majority of research conducted to date has focused on behavioral effects from individual recreations, thus there is a limited understanding of the potential for population level or cumulative effects. Brown bears (Ursus arctos) are the focus of a growing wildlife viewing industry and are found in habitats frequented by recreationists. Managers face difficult decisions in balancing recreational opportunities with habitat protection for wildlife. Here, we integrate results from empirical studies with expert knowledge to better understand the potential population level effects of recreational activities on brown bears. We conducted a literature review and Delphi survey of brown bear experts to better understand the frequencies and types of recreations occurring in bear habitats and their potential effects, and to identify management solutions and research needs. We then developed a Bayesian network model that allows managers to estimate the potential effects of recreational management decisions in bear habitats. A higher proportion of individual brown bears in coastal habitats were exposed to recreation, including photography and bear viewing than bears in interior habitats where camping and hiking were more common. Our results suggest that the primary mechanism by which recreation may impact brown bears is through temporal and spatial displacement with associated increases in energetic costs and declines in nutritional intake. Killings in defense of life and property were found to be minimally associated with recreation in Alaska, but are important considerations in population management. Regulating recreation to occur predictably in space and time and limiting recreation in habitats with concentrated food resources reduces impacts on food intake and may thereby, reduce impacts on reproduction and survival. Our results suggest that decisions managers make about regulating recreational activities in time and space have important consequences for bear populations. The Bayesian network model developed here provides a new tool for managers to balance demands of multiple recreational activities while supporting healthy bear populations.
Autologous Tooth Graft after Endodontical Treated Used for Socket Preservation: A Multicenter Clinical Study
Year: 2019

The aim of the study was to evaluate the tooth extracted use as autologous tooth graft after endodontic root canal therapies used for socket preservation. To this purpose, the Tooth Transformer shredding and decontamination machine has been used. The graft obtained in this way, was inserted at the time of the extraction or at a second surgery altogether with the chosen regenerative therapy. This clinical trial enrolled patients with post estractive defects requiring the restoration bone dimension and shape in the maxillary and mandibular zone. In addition, 98 patients with 119 extraction sockets were enrolled across 10 standardized centers. An innovative preparation method, using the dedicated automated device Tooth Transformer, able to transform autologous teeth in suitable grafting material, has been used. The extracted tooth was cleaned and treated using a Tooth Transformer and made a socket preservation. Thirteen Biopsies were realized to analyze the histologic outcomes at the average time of four months to demonstrate that the autologous tooth graft made from root after endodontic therapy should be used in human bone regeneration as graft for dental implant placement.
Imidacloprid smearing: A new technique to control early sucking insect pests of cotton
Year: 2020

An experiment was carried out at Regional Agricultural Research Station, Raichur, Karnataka India, during 1999 2002, to evaluate the bioefficacy of imidacloprid 17.8 SL as both stem and top growing shoots smearing against early sucking insect pests of cotton under irrigated condition. Monocrotophos 36 SL and imidacloprid 17.8 SL at different dosages were evaluated as smearing on stem and growing shoots of the cotton plants. Three years results indicated that imidacloprid 17.8 SL water (1 ml and 20 ml) treatment proved to be best in reducing the early sucking insect pests like leaf hoppers, thrips and aphids without affecting the natural predatory population like spiders, Chrysopa, coccinellids etc. The cost of the application was less than spraying. The role of this technique in integrated pest management is dis