nils-herrmann/clean_scirepeval huggingface dataset:
An evaluation of low cost consumer grade UAS systems for 3D reality capture
Year: 2016

Contact: d.backes@ucl.ac.uk UCL, Gower Street, London, WC1E 6BT Fuelled by a vibrant community of scientists, professionals and hobby enthusiasts, drones equipped with low cost cameras have developed into capable cost Unmanned Aerial Systems (UAS) However, how accurate and how reliable are geospatial data products generated from such systems? There is need for a better understanding and best practice use of the new easy to use technology.
Detectability of penetration depth based on weld pool geometry and process emission spectrum in laser welding of copper
Venue: Photonics Europe
Year: 2014

Laser welding is a promising joining process for copper interconnections. A key criterion of quality for these welds is the penetration depth. The penetration depth is subject to intrinsic variation, i.e. by the nature of the welding process. Online detection of penetration depth enables quality assurance and furthermore welding of joint configurations with tighter tolerances via closed loop control. Weld pool geometry and keyhole optical emission in the wavelength interval of 400 1100 nm are investigated with regard to how suitable they are for the detection of penetration depth in laser welding of copper Cu ETP. Different penetration depths were induced by stepwise modulation of laser power in bead on plate welds. The welds have been monitored with illuminated high speed videography of the work piece surface and spectrometry. Increase of the weld pool length (in direction of travel) corresponding to increase in penetration depth has been observed while no noticeable change was observed of the weld pool width (transverse to the direction of travel) No significant lines were observed in the spectrum. The radiant power in VIS spectrum was observed to increase with increasing penetration depth as well. As future work, with increasing understanding and experimental data, online monitoring by indirectly measuring the penetration depth would be possible. The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007 2013) under grant agreement no 260153 (QCOALA: Quality Control for Aluminium Laser Welded Assemblies)
RouAlign: Cross Version Function Alignment and Routine Recovery with Graphlet Edge Embedding
Venue: SEC
Year: 2020

Reverse engineering is labor intensive work to understand the inner implementation of a program, and is necessary for malware analysis, vulnerability hunting, etc. Cross version function identification and subroutine matching would greatly release manpower by indicating the known parts coming from different binary programs. Existing approaches mainly focus on function recognition ignoring the recovery of the relationships between functions, which makes the researchers hard to locate the calling routine they are interested in. In this paper, we propose a method using graphlet edge embedding to abstract high level topology features of function call graphs and recover the relationships between functions. With the recovery of function relationships, we reconstruct the calling routine of the program and then infer the specific functions in it. We implement a prototype model called RouAlign, which can automatically align the trunk routine of assembly codes. We evaluated RouAlign on 65 groups of real world programs, with over two million functions. RouAlign outperforms state of the art binary comparing solutions by over 35% with a high precision of 92% on average in pairwise function recognition.
Symmetrical components based software for three phase load flow analysis
Venue: 2016 International Conference on Applied and Theoretical Electricity (ICATE)
Year: 2016

This paper presents the principle of a load flow algorithm adjusted to asymmetrical operation of the three phase distribution networks. The algorithm is based on an iterative procedure, which is independently applied on three equivalent sequence networks and uses a phase to phase equivalent model for unbalanced loads connected to the analyzed network.
Aluminum Bioaccumulation in the Earthworm and Acute Toxicity to the Earthworm
Venue: 2010 4th International Conference on Bioinformatics and Biomedical Engineering
Year: 2010

Aluminum is a highly cytotoxic metal to plants, but its toxicity and accumulation to invertebrates in neutral soils is still unknown. This study is to determine the acute toxicity and bioaccumulation of aluminum to the earthworm. The ecotoxicity tests were based on the methods of international standardization of organization (ISO) and OECD guideline with some modification. The contents of aluminum were measured with Graphite Furnace Atomic Absorption Spectrometry. The experimental period of accumulation test was 32 days. The experiments indicated that aluminum had strongly toxic to earthworms with LC50 of 532.33 mg Al/kg dry soil at pH of 7.0. There were about 1.7 mg monomeric Al/kg dry soil and 2.5 mg water soluble Al/kg dry soil. Earthworms had ability to enrich aluminum at the low contaminated soils doses and bioaccumulation attained maximum then biodegraded obviously. There was a negative correlation evidently between the bioconcentration factor and the dose contaminated soils by Al.
UAV Flight Instructional Design for Industry 4.0 based on the Framework of Educational Mechatronics
Venue: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Year: 2020

The new stage of the industrial revolution, called industry 4.0, involves the use of Internet of Things, Artificial Intelligence, process automation and cyber physical systems to achieve smart factories; these technologies are part of the Information and Communications Technology (ICT) and are devoted to increase levels of industrial intelligence. Within Industry 4.0, drones appear as intelligent devices that have been changing the rules of the game in the industrial sector, providing benefits with innovative applications. However, the required knowledge, skills and attitudes to manage these technological devices are not being developed in most of the Universities. This paper presents an instructional design for teaching UAV flight dynamics based on the Educational Mechatronics Conceptual Framework (EMCF) with the aim to develop the mechatronic concept. This EMCF includes the macro process levels: concrete, graphic and abstract, and the processes involved to promote learning construction. Moreover, it takes into account the perspective entities: flight Dynamics (Process) Aerial Robotics (Application) and Drone (Artifact) The designed manual is focused on developing knowledge, skills and attitudes in the new jobs generated in Industry 4.0. We consider it key to disseminate educational mechatronics to help Countries in its transformation to become a relevant actor in the fourth industrial revolution.
On the Optimality of Nominal GDP Targeting Under Distortionary Taxation
Year: 2018

In this thesis the welfare properties of three different monetary policy rules are considered, (i) inflation targeting, (ii) nominal GDP targeting, and (iii) a standard Taylor rule. This is done in the hope of determining whether or not the frequently discussed nominal GDP targeting rule for monetary policy possesses any welfare improving properties over the other two policy rules considered. To perform this analysis a New Keynesian dynamic stochastic general equilibrium model featuring imperfect competition, nominal rigidities, investment, and distortionary taxation is derived and then solved using perturbation methods, with various parameters of the model being estimated for Icelandic data using Bayesian estimation techniques. The main findings of the thesis are that nominal GDP targeting seems to possess significant welfare improving properties over the other two monetary policy rules considered, managing to minimise the welfare loss resulting from the nominal rigidities as well as the significant welfare loss resulting from the presence of distortionary taxes. This however does not necessarily imply that nominal GPD targeting is an optimal monetary policy rule, owing to the fact that there are significant practical problems associated with the adoption of such a rule.
"The Greatest Nation on Earth" The Politics and Patriotism of the First Anglo American Immigrants to Mexican Texas, 1820 1824
Year: 2017

Between 1820 and 1827 approximately 1,800 U.S. citizens immigrated to northern Mexico as part of that country's empresario program, in which the federal government granted foreigners land if they promised to develop and secure the region. Historians have long argued that these settlers, traditionally seen as the vanguard of Manifest Destiny, were attracted to Mexico for its cheap land and rich natural resources. Such interpretations have lent a tone of inevitability to events like the Texas Revolution. This article argues that the early members of these groups were attracted to Mexico for chiefly political reasons. At a time when the United States appeared to be turning away from its commitment to a weak federal government, Mexico was establishing itself on a constitution that insured local sovereignty and autonomy. Thus, the Texas Revolution was far from the result of two irreconcilable peoples and cultures. Moreover, the role that these settlers played in the United States' acquisition of not just Texas, but ultimately half of Mexico's national territory, was more paradoxical than inevitable.
A modified Boltzmann Annealing Differential Evolution algorithm for inversion of directional resistivity logging while drilling measurements
Year: 2020

Being introduced in the last decade for proactive geosteering, directional resistivity logging while drilling (DRLWD) measurements have been used to predict and invert formation boundary, which provides more confidence to geosteering engineers in steering a well towards reservoirs' sweet spots. However, the strong non uniqueness of the inversion problems in the data processing in the DRLWD measurements requires a robust algorithm having a global optimization capability. We propose a modified Boltzmann Annealing Differential Evolution (BADE) algorithm to optimize the inversion problem in the DRLWD measurements. The algorithm combines a multi population Differential Evolution (DE) algorithm with an annealing strategy. Controlled by the annealing temperature, a bad solution may be accepted probabilistically to avoid the local minima. Moreover, different differential strategies are employed at different stages of annealing to improve the convergence as well as to save computation time. The proposed algorithm is suitable for parallel implementation and it can be accelerated drastically. Synthetic and field examples are presented to showcase the effectiveness and accuracy of the BADE algorithm. Compared to the standard DE algorithm, the modified algorithm converges faster and finds global optimization easier. Combined with a multi layer model, the BADE algorithm can be used to predict multiple formation boundaries and to evaluate the anisotropic formation resistivities, which will be of great help for proactive geosteering and well placement.
Fruit Shape Classification in Cantaloupe Using the Analysis of Geometrical Attributes
Year: 2013

Fruit shape is one of the most important physical properties and quality parameters of all agricultural produce. Moreover, classification of fruit shape is vital in evaluating agricultural produce, meeting quality standards and increasing market value. It is also helpful in planning packaging, transportation and marketing operations. Misshapen fruits are generally rejected according to sorting standards of fruit. Therefore, this study was carried out to establish quantitative algorithm for classification of fruit shape in cantaloupe (Cucumis melo) and to determine detection algorithm for misshapen cantaloupes. Geometrical attributes and some physical characteristics of cantaloupe such as length, major diameter, minor diameter, mass, volume and density were measured. To achieve objective and reproducible results, an assessment based on geometrical attributes analysis was proposed. Significant differences in fruit shape parameters i.e. length to lateral geometric mean diameter ratio (roundness ratio) and major diameter to minor diameter ratio (ellipsoid ratio) were detected between fruit shapes. The results of the study indicated that roundness ratio and ellipsoid ratio can be used successfully to classify fruit shape and determine normal and misshapen fruit.
GPT 3 Models are Poor Few Shot Learners in the Biomedical Domain
Venue: ArXiv
Year: 2021

Deep neural language models have set new breakthroughs in many tasks of Natural Language Processing (NLP) Recent work has shown that deep transformer language models (pretrained on large amounts of texts) can achieve high levels of taskspecific few shot performance comparable to state of the art models. However, the ability of these large language models in few shot transfer learning has not yet been explored in the biomedical domain. We investigated the performance of two powerful transformer language models, i.e. GPT 3 and BioBERT, in few shot settings on various biomedical NLP tasks. The experimental results showed that, to a great extent, both the models underperform a language model fine tuned on the full training data. Although GPT 3 had already achieved near state of the art results in few shot knowledge transfer on opendomain NLP tasks, it could not perform as effectively as BioBERT, which is orders of magnitude smaller than GPT 3. Regarding that BioBERT was already pretrained on large biomedical text corpora, our study suggests that language models may largely benefit from in domain pretraining in taskspecific few shot learning. However, indomain pretraining seems not to be sufficient; novel pretraining and few shot learning strategies are required in the biomedical NLP domain.
Drosophila Pico and Its Mammalian Ortholog Lamellipodin Activate Serum Response Factor and Promote Cell Proliferation
Venue: Developmental cell
Year: 2008

proteins link activated Ras GTPases with actin regulatory Ena/VASP proteins to induce local changes in cytoskeletal dynamics and cell motility. MRL proteins alter monomeric (G):filamentous (F) actin ratios, but the impact of these changes had not been fully appreciated. We report here that the Drosophila MRL ortholog, pico, is required for tissue and organismal growth. Reduction in pico levels resulted in reduced cell division rates, growth retardation, increased G:F actin ratios and lethality. Conversely, pico overexpression reduced G:F actin ratios and promoted tissue overgrowth in an epidermal growth factor (EGF) receptor (EGFR) dependent manner. Consistently, in HeLa cells, lamellipodin was required for EGF induced proliferation. We show that pico and lamellipodin share the ability to activate serum response factor (SRF) a transcription factor that responds to reduced G:F actin ratios via its co factor Mal. Genetics data indicate that mal/SRF levels are important for pico mediated tissue growth. We propose that MRL proteins link EGFR activation to mitogenic SRF signaling via changes in actin dynamics.
Dynamic Performance Assessment of NG MVDC Shipboard Power System with Distributed Electric Propulsions
Venue: 2020 IEEE Electric Power and Energy Conference (EPEC)
Year: 2020

In recent years, DC distribution system has been considered as an efficient solution in Shipboard Power Systems (SPS) to improve the system performance in several aspects such as overall efficiency, reliability, security and size. However, rising fuel price, its unpredictability, growing global demand for energy and the necessity to decrease environmental pollution have led to an ever increasing trend for using Alternative Power Sources (APSs) and Energy Storage Systems (ESSs) into Next Generation Shipboard Power Systems (NG SPS) In this respect, the future SPSs provide great advantages but really complicate and introduce new challenges about system security and stability. Hence, exact evaluation of system dynamic performance has become a major concern and require an effective simulation based modeling. This paper developed a modeling approach for Medium Voltage Direct Current (MVDC) of NG SPS using Distributed Electric Propulsion (DEP) along with lithium ion battery and Solid Oxide Fuel Cell (SOFC) as an ESS and APS, respectively. The major objective is precise assessment of system dynamic behavior under various operating states in order to take full advantage of the system over dynamic events, effectively and keep the system secure. The proposed system has been simulated in MATLAB/Simulink and the results are presented for various operational modes.
A New Vision About AI and Situation Awareness Model of Auto driving with Implicit Memory
Year: 2018

As AI developed with the relationships with other science, such as Psychology, needs of human machine cooperation appear and situation awareness is modeled to evaluate driver and other kinds of operators in complex working condition. As to car driving, an action taking model based on situation awareness is presented, which shows two main action taking ways. One is Reaction Chain; the other is Implicit/Action Ring. This paper is enlightenment by implicit memory, situation awareness model of Ensley's and the way a very young child watching, touching and knowing the objects of the world. Although human take actions sometimes unconsciously, they are orientated by implicit memory. Similarly, some skills and knowledge are acquired by implicit learning and this kind of learning show an enormous migration and analogy ability. Finally, Reaction Chain which includes Perception Comprehension Projection Decision Action in driving is discussed with RL.
On the occurrence and toxicity of Cylindrospermopsis raciborskii in Poland
Year: 2017

Cylindrospermopsis raciborskii which belongs to the order of Nostocales has continuously been at the centre of interest of various research groups owing to its great ecological plasticity, wide distribution and potential to produce different metabolites known to be harmful for humans and animals. Over recent decades, Polish strains of C. raciborskii have also been studied with regard to these issues. The present paper is a brief review of the present state of knowledge respecting the occurrence and toxicity of this species with emphasis on Polish strains, and indicates potential directions for future research.
Characterization of anti viral immunity in recovered individuals infected by SARS CoV 2
Venue: medRxiv
Year: 2020

The WHO has declared SARS CoV 2 outbreak a public health emergency of international concern. However, to date, there was hardly any study in characterizing the immune responses, especially adaptive immune responses to SARS CoV 2 infection. In this study, we collected blood from COVID 19 patients who have recently become virus free and therefore were discharged, and analyzed their SARS CoV 2 specific antibody and T cell responses. We observed SARS CoV 2 specific humoral and cellular immunity in the patients. Both were detected in newly discharged patients, suggesting both participate in immune mediated protection to viral infection. However, follow up patients (2 weeks post discharge) exhibited high titers of IgG antibodies, but with low levels of virus specific T cells, suggesting that they may enter a quiescent state. Our work has thus provided a basis for further analysis of protective immunity to SARS CoV 2, and understanding the pathogenesis of COVID 19, especially in the severe cases. It has also implications in designing an effective vaccine to protect and treat SARS CoV 2 infection.
Pencapaian prestasi dalam olahraga bukanlah pekerjaan yang mudah, dibutuhkan usaha yang maksimal untuk mencapai prestasi tersebut. Oleh karena itu, dalam olahraga perlu pembinaan dan pengembangan olahraga wan secara terencana, berjenjang, dan berkelanjutan. Peningkatan kompetensi sebagai usaha untu
Year: 2016

This study was conducted to determine the different effect between half part/sections method and overall method in Sepak Takraw service of the male athletes of SMPN1 Keluang Musi Banyuasin. The sample of this study was 20 male athletes of Sepak Takraw club of SMPN1. T test analysis results are as follows: 1. Halfpart exercises can significantly improve the service ability with tobtained 6.70 ttable 1.83 and p 0.00 a 0.05. 2. Whole part exercises can significantly improve service ability with tobtained 6.70 ttable 1.83 and p 0.00 a 0.05. 3. There are no significant difference in the service skills by using half part and whole part exercises, tobtained 0.52 ttable 1.83 and p 0.614 a 0.05.
Memristor based 3D neuromorphic computing system and its application to associative memory learning
Venue: 2017 IEEE 17th International Conference on Nanotechnology (IEEE NANO)
Year: 2017

3D integration technology offers a near term strategy for bypassing Moore's Law. Applying 3D integration to neuromorphic computing (NC) could provide a low power consumption, high connectivity, and massively parallel processed system that can accommodate high demand computational tasks. This paper proposes a novel analog spiking nanoscale 3D NC system, wherein both neurons and synapses are stacked three dimensionally, with monolithic inter tier via (MIV) technology, and vertical resistive random access memory (V RRAM) structures. An application of the proposed system to associative memory learning is performed to demonstrate its capability in high demand computational tasks. The computational efficiency and performance improvement of the proposed architecture are demonstrated.
Nutritional composition, mineral content, antioxidant activity and quantitative estimation of water soluble vitamins and phenolics by RP HPLC in some lesser used wild edible plants
Venue: Heliyon
Year: 2019

The present study aimed to investigate the nutritional properties and antioxidant activities of six underutilized wild edible plants viz. Ipomoea aquatica, Achyranthes aspera, Aasystasia ganjetica, Enhydra fluctuans, Oldenlandia corymbosa and Amaranthus viridis that are commonly consumed as food in the India The antioxidant properties of the plants were evaluated by using 1,1 diphenyl 2 picryl hydrazyl (DPPH) radical scavenging activity, ABTS radical scavenging ability, reducing power capacity, metal chelating activity, lipid peroxidation assay, estimation of total phenolic content and flavonoids content in different solvent extraction system like benzene, chloroform, methanol and 70% aqueous (aq. ethanol. The quantitation of phenolic acids and flavonoids and water soluble vitamins in these plants were carried out by HPLC using Acclaim C 18 column (5 mm particle size, 250 x 4.6 mm) Dionex Ultimate 3000 liquid chromatograph and detection was carried out in photo diode array (PDA) detector. The results of investigation showed that these plants are rich sources of protein, carbohydrate minerals and vitamins, especially the B group of vitamins that can contribute immensely to nutrition, food security, and health and therapeutic benefits. The different levels of antioxidant activities were found in the solvent systems used. The HPLC analysis also showed the presence of phenolic acids and flavonoids in various amounts in these plants which could be utilized as natural antioxidant.