Miracle-dz/UniFAR-FTUs huggingface dataset:
— — Title : Cross-Wire Projection Welding of Aluminium Alloys in Relation to Pneumatic and Electromechanical Electrode Force Systems

The cross wire projection welding of wires (Al 5182, =4 mm) performed using the conventional (i.e. pneumatic) electrode force system was subjected to thorough numerical analysis. Calculations were performed until one of adopted boundary conditions, i.e. maximum welding time, maximum penetration of wires, the occurrence of expulsion or the exceeding of the temperature limit in the contact between the electrode and the welded material was obtained. It was observed that the ring weld was formed within the entire range of welding parameters. The process of welding was subjected to optimisation through the application of a new electromechanical electrode force system and the use of a special hybrid algorithm of electrode force and/or displacement control. Comparative numerical calculations were performed (using SORPAS software) for both electrode force systems. Technological welding tests were performed using inverter welding machines (1 kHz) provided with various electrode force systems. The research also involved the performance of metallographic and strength (peeling) tests as well as measurements of welding process characteristic parameters (welding current and voltage). The welding process optimisation involving the use of the electromechanical force system and the application of the hybrid algorithm of force control resulted in i) more favourable space distribution of welding power, ii) energy concentration in the central zone of the weld, iii) favourable (desired) melting of the material within the entire weld transcrystallisation zone and iv) obtainment of a full weld nugget. Introduction Force is one of the three primary technological parameters of a welding process. The other two parameters are the value of current and the time of current flow. During cross wire projection welding (particularly of aluminium alloys) in a conventional application i.e. using a pneumatic force system, it is very difficult to make a weld with a full weld nugget. The pneumatic force system is characterised by high inertia and cannot be applied changes in force are or must be fast. For this reason, the value of pre-set force is usually constant. If the force is excessively high, the high deformation of welded elements (wires) may occur as a result. If the force is overly low, the formation imperfections of a projection joint (high temperature in contacts, expulsion) may follow [1]. In the pneumatic system, force applied during welding results from specific force pre-set by a pneumatic cylinder. The displacement of electrodes results from the action of this force and of the changeable mechanical resistance of materials being welded. An alternative solution requires another method enabling the exerting of force on materials subjected to welding [1][2][3][4][5][6]. In publication [1], the authors emphasize the growing popularity of the servomechanical (electromechanical) system and an advantage involving an increase in an electrode displacement rate during welding. Publication [2] informs about the possible extension
Band Beam-Steerable and Scalable Phased Antenna Array for 5 G Access Point

Powered by TCPDF (www.tcpdf.org) This material is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Islam, Mazidul; Leino, Mikko; Luomaniemi, Rasmus; Song, Jinsong; Valkonen, Risto; AlaLaurinaho, Juha; Viikari, Ville
4 , Summer 2009 – Continued – 2 272 EXECUTIVE COMPENSATION AND INVESTOR CLIENTELE

We provide a setting where due to a lack of sophistication, possibly arising from high opportunity costs of learning about accounting conventions and financial markets, nave (unsophisticated) investors are unable to decipher true executive compensation accurately. Expected compensation is therefore higher when such investors form a more significant clientele in the market for a firm's stock. Our model further suggests that increased information asymmetry between informed and uninformed traders may deter the entry of uninformed investors and keep executive compensation in check. Technologies that lower the cost of trading facilitate entry of relatively unsophisticated investors and raise expected compensation. In general, such compensation can be reduced through requirements that increase disclosure transparency. Empirical tests provide support to the key implication of the model that indirect executive compensation is higher in stocks with higher liquidity, which are likely to have greater unsophisticated investor participation.
nteractions of zinc with the intestinal epithelium-eff ects on transport properties and zinc homeostasis

s in proceedings and participation in conferences 2014: Lodemann, U, Gefeller EM, Bondzio A, Martens H, Zentek, J, Einspanier R, Aschenbach JR Regulation der intrazellulären Zinkhomöostase in porzinen und humanen Darmepithelzellen. Publikationsliste 77
Diversity Judgments Diverse According to Whom ? Racial Group Membership and Concerns about Discrimination Shape

People often treat diversity as an objective feature of situations that everyone perceives similarly. The current research shows, however, that disagreement often exists over whether a group is diverse. We argue that diversity judgments diverge because they are social perceptions that reflect, in part, individuals’ motivations and experiences, including concerns about how a group would treat them. Therefore, whether a group includes in-group members should affect how diverse a group appears because the inclusion or apparent exclusion of in-group members signals whether perceivers can expect to be accepted and treated fairly. Supporting our claims, three experiments demonstrate that racial minority group members perceive more diversity when groups included racial in-group members rather than members of other racial minority groups. Moreover, important differences exist between Asian Americans and African Americans, which underscore the need for more research to explore uniqueness rather than commonalities across racial minority groups.
De Novo DNA assembler for third generation sequencers’ reads based on BLASR algorithm

The most significant differences between second and third sequencing generation are length of reads and percentage of errors. In the field of de novo DNA assembly there is a need for new effective algorithms as these used for second generation reads are highly ineffective or even unusable when applied to the successor. In this article we propose a solution tailored for DNA assembly of reads from third generation sequencers. In this approach we use overlap-layout-consensus (OLC) graph method. It is composed of number of algorithms focusing on time and memory optimization. The proposed algorithm was implemented as shared library and added as a new module to the ’dnaasm’ de novo assembler. The implementation has been tested on simulated as well as real data. Results prove increase in speed and memory consumption in comparison with other de novo DNA assemblers.
DarkNER: a platform for named entity recognition in Tor darknet

In this paper, we introduce DarkNER, an application of Named Entity Recognition (NER) based on neural networks to identify six categories of named entities: Location, Person, Products, Corporation, Group, and Creative-work, in onion domains on the Tor network. The presented NER model is trained on the W-NUT-2017 dataset and tested on manually tagged samples of Tor hidden services. The experiments show the adaptability and effectiveness of neural networks models in detecting new textual entities, such as drugs names and weapons brands. The proposed application could help the authorities in filtering and monitoring the contents of the Tor domains.
Solid Particle Seeding using Cyclone Gas Flow for Optical Flow Visualization : Design Parameters to be Considered

Flow Visualization is an evolving field that has many advantages over intrusive testing methods. Commonly employed methods of Flow Visualization include Particle Image Velocimetry, Planar Laser-Induced Fluorescence, Laser Doppler Velocimetry and Schlieren Imaging. These not only vary in terms of the type of visualization equipment used, but also in terms of the way in which the Flow is finally visualized. Flow Visualization begins with flow “seeding” i.e. the introduction of discrete & definite alien particles into the flow. Seeding of Solid Particles in a compressible flow stream, using a Cyclone Jet is a much-favored and commonly employed method for Seeding, owing to its simplicity of design, construction and operation. Design Parameters that have to be considered for a cyclone-based seeding have been discussed in this paper, vis-à-vis the general properties of the seed particle and the nature of visualization techniques employed. An analytical view of Cyclone Seeding is also presented. Mei’s particle tracking model [5] is used as a base reference for the flow visualization. A simple design which was used for Particle Image Velocimetry testing, is also described.
Training WGANs with Peer Instruction

Generative adversarial networks (GANs) have shown superb results for generating synthetic data via a competitive game between two networks (Goodfellow et al., 2014). In these models, a generator network maps random noise to produce synthetic data, and a discriminator network discriminates whether the data fed to it is real or synthetic. Regardless of their success, GANs suffer from instability and difficulties in training. In (Arjovsky et al., 2017; Gulrajani et al., 2017), an alternative model, the WGAN, was proposed to improve the stability by using the Wasserstein distance and enforcing a Lipschitz constraint through weight clipping in the former, and a gradient penalty in the latter.
I. STRUCTURAL AND FUNCTIONAL DIVERSITY OF PLANT ORGANISMS GENETIC TRAITS IN PINUS PALLASIANA D.DON TREES WITH DIFFERENCES IN RADIAL GROWTH IN THE PLANTATIONS OF SOUTH-EAST OF UKRAINE

Abstract. Using 15 isozyme loci, analysis of 220 trees of Pinus pallasiana D.Don with different radial growth rates (stem diameters) aged 9 to 40 years was performed. The deficit of heterozygous genotypes (5.7 – 32.1%) was found for all of the studied trees samples. The tendency of increasing the level of multilocus heterozygosity in groups of older age trees (40 years) and the larger stem diameter in comparison to smaller stem diameter trees was observed. This tendency was also observed in the analysis of individual loci (namely Got-1, Mdh-2, Mdh-3). Nei’s genetic distances coefficient (DN) between groups of trees with larger and smaller stem diameter was insignificant and ranged from 0.003 to 0.008.
Intra- and Inter-temporal Redistribution with Borrowing Constraints and Distortionary Taxation

In a dynamic general equilibrium model with financial imperfections and heterogeneous agents, we revisit the effects of two types of fiscal policy: intratemporal redistribution; and a debt-financed uniform transfer, which is interpreted as intertemporal redistribution. We find that, under flexible prices, a uniform debt-financed transfer has a positive effect on consumption on impact but not in the long-run; and it causes a persistent contraction of output. Moreover, due to distortionary taxation and borrowing constraints, the uniform transfer leads to heterogeneous impacts and welfare implications on households. A Robin-Hood intratemporal redistribution to low wealthy households is found to be expansionary on private consumption and effective labor hours. In addition, its output multiplier is positive on impact but turns into a negative value in the long run. JEL Classification: E32, E62, H30, H31
A Design Methodology and Various Performance and Fabrication Metrics Evaluation of 3 D Network-on-Chip with Multiplexed Through-Silicon Vias

The use of short Through-Silicon Vias (TSVs) in 3D integration Technology introduces a significant reduction in routing area, power consumption, and delay. Although, there are still several challenges in 3D integration technology; mainly low yield, which is a direct result of extra fabrication steps of TSVs. Therefore, reducing TSV count has a considerable effect on improving yield and hence reducing cost. A TSV multiplexing technique called TSVBOX was introduced in [1] to reduce the TSV count without affecting the direct benefits of TSVs. Although, the TSVBOX introduces some delay to the signals to be multiplexed, this delay effect of TSV multiplexing is not addressed yet. In this paper, we analyze the TSVBOX timing requirements and propose a design methodology for TSVBOXbased 3D Network-on-Chip (NoC). Then performance and power comparisons are conducted to investigate the direct effects of TSV multiplexing on these two metrics. After that the basic fabrication metrics are compared to investigate the effect of the proposed design methodology on yield and cost. We show that the TSVBOX extremely enhances the fabrication metrics at minimal degradation in performance and power consumption, especially for Hotspot-like traffic patterns.
Cross-dialectal speech processing: perception of lexical stress by Indian English listeners

In English, lexical stress provides essential information guiding lexical activation. However, little is known about the processing of lexical stress in postcolonial Englishes. The present study examines the perception of lexical stress in disyllabic words by adult speakers of Standard Indian English. Results show that in iambic words (second syllable stressed), participants perform at about 54% accuracy, regardless of social background. In trochaic words, participants with private schooling perform significantly better (60% accuracy; p<0.05) than those with a government school background, approaching the level of accuracy reported for Australian English listeners. Our results suggest that processing of the commonly occurring trochaic condition is easier for participants from private schools, while processing of the rare iambic pattern is not eased by such experience. L1 background and onset of learning English show no systematic effect on participants’ performance. Variability in Standard Indian English is shaped mainly by schooling and not L1 background.
P o S ( N I CI X ) 0 9 0 Present status of the KADoNiS database

The "Karlsruhe Astrophysical Database of Nucleosynthesis in Stars" (KADoNiS) project is an online database for experimental cross sections relevant t o the s process andp process. It is available underhttp://nuclear-astrophysics.fzk. de/kadonis and consists of two parts. Part 1 is an updated sequel to the well-known Bao et al. compilations fro m 1987 and 2000, which is online since April 2005. An extension of this s-process database to (n, p) and(n,α) cross sections at kT= 30 keV, as in the first version of the Bao compilation, is plan ned. The second part of KADoNiS is a p-process library, which includes all available experiment al data from(p,γ), (p,n), (α,γ), (α,n), (α,α), (n,α) and(γ,n) reactions in or close to the respective Gamow window. Despit the great number of reactions required for a p-process reaction network, experimental data is still scarce and up to now restricted to stable targets. Given here is a short overview about the present status of the KADoNiS database.
Measuring Beginner Friendliness of Chinese Web Pages explaining Academic Concepts using Deep Learning and Text / HTML Features

Search engine is an important tool of modern academic study, but the results are lack of measurement of beginner friendliness. For improving the efficiency of using search engine for academic study, it is necessary to find a method of measuring the beginner friendliness of Web pages explaining academic concepts and to build an automatic measurement system. In this thesis, we first formalize the measurement of beginner friendliness by several individual factors, including definition, formula and so on. We collect about 2,000 Web pages for manual measurement based on the individual factors and build a reference dataset. Then, we analyze the HTML data of the collected dataset, and extract specific features for measuring beginner friendliness. And we use a modified VGG16 model (a convolutional neural network model for image classification) to measure the layout of Web pages we have collected. The results are taken as features for further measurement. All the features are evaluated using SVM and the performance is shown in a recall-precision curve. Finally, we test about 300 Web pages and evaluate the performance of different features of HTML data and CNN measurement results of Chinese Web pages. The result of this thesis would be an important reference for further work of a practical assistance system on Web learning.
Effect of one-step polishing systems and bleaching on color of resin composites after staining

Purpose:The aims of this study were to evaluate the effects of OneGloss and PoGo one-step polishing systems and an office-bleaching agent (Ultradent Opalescence Boost PF 40%) oncolor of two nanocomposite resin restorative materials (Clearfil Majesty Esthetic and Filtek Z350 XTafter exposure to a staining solution. Methods:Forty-five cylindrical specimens (8 mm diameter, 2 mm thickness) were prepared from each resin composite according to the manufacturer's instructions. Specimens were finished using a tungsten carbide finishing bur andthen thermocycled. The specimens prepared from each material were randomly allocated to three subgroups with 15 specimens in each restorative material. All specimens were measured for color (T1) using spectrophotometer Color-Eye 7000A. All specimens were immersed in staining coffee solution for 4 days and then measured for color (T2). Each group was subjected to different surface treatment, which included OneGloss or PoGo polishing systems for 30 seconds or bleaching using Ultradent Opalescence Boost PF 40% for 40 minutes. All specimens were measured for color (T3). Results:No statistically significant color difference was observed between Clearfil Majesty Esthetic and Filtek Z350 XT at the testing phase one (T1) after finishing/thermocycling. Comparing the ΔE value of each resin composite at testing phases T2 and T3 showed significant change in color between preand post-staining steps as well as post-staining steps and polishing/bleaching step. Horizontal comparison between both resin composites for ΔE value between testing phases T2 and T3 showed a statistically significant change with Clearfil Majesty Esthetic having the largest color change after staining for all test subgroups. Conclusions:Filtek Z350 XT nanofilled resin is more color stable than Clearfil Majesty Esthetic nanofilled resin. PoGo one-step polishing system resulted in more color change after staining than OneGloss one-step polishing system. Color change for Filtek Z350 XT, after polishing with PoGo or bleaching with Ultradent Opalescence Boost PF 40%, removed coffee staining to less than pre-stained values.
FlowShader: a Generalized Framework for GPU-accelerated VNF Flow Processing

GPU acceleration has been widely investigated for packet processing in virtual network functions (NFs), but not for L7 flow-processing NFs. In L7 NFs, reassembled TCP messages of the same flow should be processed in order in the same processing thread, and the uneven sizes among flows pose a major challenge for full realization of GPU’s parallel computation power.To exploit GPUs for L7 NF processing, this paper presents FlowShader, a GPU acceleration framework to achieve both high generality and throughput even under skewed flow size distributions. We carefully design an efficient scheduling algorithm that fully exploits available GPU and CPU capacities; in particular, we dispatch large flows which seriously break up the size balance to CPU and the rest of flows to GPU. Furthermore, FlowShader allows similar NF logic (as CPU-based NFs) to run on individual threads in a GPU, which is more generalized and easy to take on as compared to redesigning an NF for operation parallelism on GPU. We implemented a number of L7 flow processing NFs based on FlowShader. Evaluations are conducted under both synthetic and real-world traffic traces and results show that the throughput achieved by FlowShader is up to 6x that of the CPU-only baseline and 3x of the GPU-only design.
Evolutionary Game Theory-Based Collaborative SensingModel in Emergency CRAHNs

Game theory has been a tool of choice for modeling dynamic interactions between autonomous systems. Cognitive radio ad hoc networks (CRAHNs) constituted of autonomous wireless nodes are a natural fit for game theory-based modeling. The game theory-based model is particularly suitable for “collaborative spectrum sensing” where each cognitive radio senses the spectrum and shares the results with other nodes such that the targeted sensing accuracy is achieved. Spectrum sensing in CRAHNs, especially when used in emergency scenarios such as disaster management and military applications, needs to be not only accurate and resource efficient, but also adaptive to the changing number of users as well as signal-to-noise ratios. In addition, spectrum sensing mechanism must also be proactive, fair, and tolerant to security attacks. Existing work in collaborative spectrum sensing has mostly been confined to resource efficiency in static systems using request-based reactive sensing resulting in high latencies. In this paper, evolutionary game theory (EGT) is used to model the behavior of the emergency CRAHNS, providing an efficient model for collaborative spectrum sensing. The resulting implementation model is adaptive to the changes in its environment such as signal-to-noise ratio and number of users in the network. The analytical and simulation models presented validate the system design and the desired performance.
Explorer Visually Grounded Meaning Representations

In this paper we address the problem of grounding distributional representations of lexical meaning. We introduce a new model which uses stacked autoencoders to learn higher-level representations from textual and visual input. The visual modality is encoded via vectors of attributes obtained automatically from images. We create a new large-scale taxonomy of 600 visual attributes representing more than 500 concepts and 700K images. We use this dataset to train attribute classifiers and integrate their predictions with text-based distributional models of word meaning. We evaluate our model on its ability to simulate word similarity judgments and concept categorization. On both tasks, our model yields a better fit to behavioral data compared to baselines and related models which either rely on a single modality or do not make use of attribute-based input.
NOVEL NEURAL NETWORK BASED FUSION FOR MULTISTREAM ASR Sri

Robustness of automatic speech recognition (ASR) to acoustic mismatches can be improved by multistream framework. Frequently used approach to combine decisions from individual streams involve training large number of neural networks, one for each possible stream combination. In this work, we propose to simplify the fusion by replacing the large number of fusion networks with a single fusion network. During training of the proposed fusion network, features from a stream are randomly dropped out. At test time, corrupted streams are identified and dropped out to improve robustness. Using the proposed approach, we were able to achieve significant reduction in number of parameters, while remaining in less than 2.5 % relative degradation of conventional fusion technique. Furthermore, proposed fusion network is also applied in a multistream ASR system to improve noise robustness of Aurora4 speech recognition task. Noticeable improvements were observed over baseline systems (relative improvement of 9.2 % in microphone mismatch and 3.2 % in additive noise conditions).