Miracle-dz/UniFAR-FTUs huggingface dataset:
ADJOINT SENSITIVITY ANALYSIS OF CONSTANT TEMPERATURE MOLECULAR DYNAMICS

In this research, we proposed an efficient design sensitivity analysis (DSA) method of constant temperature molecular dynamics (MD). A Nose-Hoover thermostat is utilized to represent the possible state of a system that is in thermal equilibrium with a heat bath so that the resulting temperature is constant. The design sensitivity of general performance measures for the constant temperature MD with the Nose-Hoover thermostat is derived using an adjoint variable method (AVM). Since the adjoint system is path-dependent and derived in the form of a terminal value problem, the path of MD analysis is kept and the time reversibility of the MD system with Nose-Hoover thermostat is investigated. The accuracy and efficiency of the developed adjoint DSA method are verified through demonstrative numerical examples.
On the Effectiveness of Automatic Schema Matching Over Heterogeneous Digital Libraries

Schema matching is the problem of finding mappings between different structured schemas. When retrieving information from digital libraries with heterogeneous schemas, the query over a target schema has to be transformed into a query over the schema of the digital library (the source schema) it has been submitted to. Schema mappings define the rules for this query transformation. In this paper we address the issue of automatically learning these mappings; furthermore, we evaluate their effectiveness in accessing distributed, heterogeneous digital libraries.
COINTEGRATION AND CAUSALITY : AN APPLICATION TO GDP AND MAJOR SECTORS OF NIGERIA

The research investigated integration viz. GDP, Agriculture; Industry and Services sectors of Nigeria using Johansen’s multivariate co-integration approach. Findings confirmed the presence of co-integration, implying long-run association among the four-variables. For additional evidence as to whether and in which direction transmission occurred between the pairs, Granger causality test confirmed all the variables to be determining factor in revenue formation. However, all the variables were found efficient as depicted by bidirectional causal relationships among them. Also, the impulse response functions validate the results of co-integration and Granger causality, but the magnitude of revenue transmission of Services to GDP was found to exhibit more effect when compared to impulse shocks from Agriculture and Industry on GDP. The major implication is to design a network of economic development that will enhance economic growth; economic integration and better transmission among them.
User Input BBM Match Template Matching Correspondence , Completion and Layer Results Applications Boundary Band Map

Repeated elements are ubiquitous and abundant in both manmade and natural scenes. Editing such images while preserving the repetitions and their relations is nontrivial due to overlap, missing parts, deformation across instances, illumination variation, etc. Manually enforcing such relations is laborious and error-prone. We propose a novel framework where user scribbles are used to guide detection and extraction of such repeated elements. Our detection process, which is based on a novel boundary band method, robustly extracts the repetitions along with their deformations. The algorithm only considers the shape of the elements, and ignores similarity based on color, texture, etc. We then use topological sorting to establish a partial depth ordering of overlapping repeated instances. Missing parts on occluded instances are completed using information from other instances. The extracted repeated instances can then be seamlessly edited and manipulated for a variety of high level tasks that are otherwise difficult to perform. We demonstrate the versatility of our framework on a large set of inputs of varying complexity, showing applications to image rearrangement, edit transfer, deformation propagation, and instance replacement.
Do Companies Benefit from Public Research Organizations ? The Impact of Fraunhofer

Executive summary Since its inception in 1949, the Fraunhofer-Gesellschaft (FhG) has become Europe’s largest applied research organization. Today, it has more than 60 research institutes in Germany covering a wide range of topics in the natural sciences, engineering, informatics, and economics/social sciences. Taken together, Fraunhofer has approximately 24,500 employees and commands an annual budget of over €2.1 billion. Not only is Fraunhofer successful as a private organization, but it is also recognized for providing the economy with unique scientific knowledge crucial for the development of new and innovative goods and services. Founded with the dedicated mission to bridge the gap between basic science, technological development and commercial application, Fraunhofer has grown to be an attractive partner for industry. About 35% of its budget is financed through projects commissioned by industrial clients.
THE ROLE OF PONDS Colonization of Daphnia magna in a newly created pond : founder effects and secondary immigrants

In habitats recently colonized by cyclical parthenogens, founder events lead to genetic differences between populations that do not erode quickly despite ongoing dispersal. By comparing the genetic composition during initial colonization with that of the diapausing egg bank at a local scale, we here present the relative contribution of the founding clones to the build-up of genetic diversity and differentiation of a newly established cladoceran population. We monitored the population genetic structure of Daphnia magna in one newly created pond as well as the diapausing egg banks of four water bodies in the neighbouring area. Our population was founded by four individuals. After the first growing season, the largest contribution to the sexually produced resting egg bank came from only two clones. Descendants of initially rare clones and potentially also additional immigrant clones profited from outbreeding vigour and increased their frequency during the first few years after colonization. Beyond this, no further significant changes in genetic structure were observed in the egg bank. At this point, priority effects became fully operational and led to sustained population genetic differentiation from nearby ponds. Our results support that colonization dynamics strongly influence within and among population genetic variation and evolutionary potential of populations.
Parallel K-Means Clustering for Image Colour Quantization

Image colour quantization is an important problem in Computer Graphics and Image Processing. This reduces the number of colours in the image and facilitates the display, storage, and transmission of images. This is a necessary prepossessing to make images compatible low-end hardware device which can display a limited number of devices. This work shows how this quantization can be achieved by the means of k-Means clustering. The algorithm is implemented in parallel for efficient execution and we provide a performance comparison of various platforms such as OpenMP, CUDA, and MPI. We find that CUDA outperforms other platforms by a large margin due to fine-grained parallelism and a higher degree of concurrency. Keywords—Colour quantization, K-means clustering, Parallel Programming, OpenMP, CUDA, MPI
Synchronizing quantum harmonic oscillators through two-level systems

Two oscillators coupled to a two-level system which in turn is coupled to an infinite number of oscillators (reservoir) are considered, bringing to light the occurrence of synchronization. A detailed analysis clarifies the physical mechanism that forces the system to oscillate at a single frequency with a predictable and tunable phase difference. Finally, the scheme is generalized to the case of $N$ oscillators and $M(lN)$ two-level systems.
정치학석사학위논문 A Study on Implementation of E-Government for Public Service Performance in Kenya : Framework of Opportunities and Challenges

E-Government (electronic government) involves the use of Information and Communication Technology (ICT) in order to enhance the functions and service delivery of the government to the citizens, employees, businesses and various other stakeholders. Adoption and implementation of e-government by the state gives the citizens an opportunity to be involved in the decision-making process, get access to government functions in a swift manner and thus enhancing transparency, effectiveness, openness, inclusivity and revenue facilitation among others. The use of E-Government application services has tremendously risen in developing countries over the last two decades. Kenyan government being part of the developing nations has also made strides by enhancing the use of Information and Communication Technology (ICT) platforms across all the government related services delivery ends such as administration, socio-political and economic institutions among others within the public sector. Before the nineties, the governments from across the world just like the business entities used the e-services to run the backroom operations.
Cross-Lingual Sentiment Analysis

Sentiment Analysis requires large sentiment labelled corpus for training. Many rare languages have insufficient labelled corpus. Such languages are called low resource languages. Training for such languages leads to insignificant results. In this paper, we study various approaches to perform sentiment analysis for low resource languages using high resource languages. We also look into word embedding approaches, different models to train cross-lingual word embeddings and their evaluation techniques.
MIGRATION PATTERNS OF MISSISSIPPI KITES (ICTINIA MISSISSIPPIENSIS) IN THE EASTERN LOWLANDS OF BOLIVIA

– Bolivia is a crossroads for austral, intratropical and Nearctic migrants. Concepción, one of the seven raptor migration watchsites identified in Bolivia, has the highest counts of migrating raptors. Between 17 September and 26 November 2001, Mississippi Kite (Ictinia mississippiensis) migration was monitored in Concepción. A total of 118,153 kites, many of which migrated in large flocks, were counted during this period. The mean passage rate was 238 kites/h. Most kites passed between 10:00 and 14:00 h. Flocks of kites were largest around 11:00 h and between 14:00 and 16:00 h. The 2001 counts differed from earlier observations at Concepción in that most kites were seen migrating to the north into northernnorthwestern head winds. The reason for enhanced migration during these conditions is unknown. Accepted 15 January 2004.
OF MICROCORYPHIA FAUNA FROM VIETNAM , WITH NEW SUBGENUS , NEW SPECIES OF MACHILONTUS SILVESTRI ( MACHILOIDEA : MEINERTELLIDAE ) , AND NEW DATA FOR SEXUAL DIMORPHISM IN THE ORDER

— The Microcoryphia fauna of Vietnam remains inadequately studied. Only three species were described before the present study: Pedetontus (Verhoeffi lis) bouvieri (Silvestri, 1906), P. (V.) meridionalis Mendes, 1981 (Machilidae), and Machilellus heteropalpus Mendes, 1981 (Meinertellidae). Two new species Machilontus (s. str.) phami, new species, and M. (Protumidolontus) lii, new species, are described and illustrated from northern Vietnam, with the latter representing a new subgenus of Machilontus. The material was collected from the canopy layer of tropical rainforests in northern Vietnam with the canopy fogging technique. Protumidolontus, new subgenus, provides new data on sexual dimorphism in the order. A key to the genera (including subgenera) of Microcoryphia from Vietnam is provided.
EPIQ ’ 18 , December 4 , 2018 , Heraklion , Greece

The QUIC protocol combines features that were initially found inside the TCP, TLS and HTTP/2 protocols. The IETF is currently finalising a complete specification of this protocol. More than a dozen of independent implementations have been developed in parallel with these standardisation activities. We propose and implement a QUIC test suite that interacts with public QUIC servers to verify their conformance with key features of the IETF specification. Our measurements, gathered over a semester, provide a unique viewpoint on the evolution of the QUIC protocol and of its implementations. They highlight the introduction of new features and some regressions among the different implementations. ACM Reference Format: Maxime Piraux, Quentin De Coninck, Olivier Bonaventure. 2018. Observing the Evolution of QUIC Implementations. In Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ’18), December 4, 2018, Heraklion, Greece. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3284850.3284852
White-Box Atomic Multicast

Atomic multicast is a communication primitive that delivers messages to multiple groups of processes according to some total order, with each group receiving the projection of the total order onto messages addressed to it. To be scalable, atomic multicast needs to be genuine, meaning that only the destination processes of a message should participate in ordering it. In this paper we propose a novel genuine atomic multicast protocol that in the absence of failures takes as low as 3 message delays to deliver a message when no other messages are multicast concurrently to its destination groups, and 5 message delays in the presence of concurrency. This improves the latencies of both the fault-tolerant version of classical Skeen's multicast protocol (6 or 12 message delays, depending on concurrency) and its recent improvement by Coelho et al. (4 or 8 message delays). To achieve such low latencies, we depart from the typical way of guaranteeing fault-tolerance by replicating each group with Paxos. Instead, we weave Paxos and Skeen's protocol together into a single coherent protocol, exploiting opportunities for white-box optimisations. We experimentally demonstrate that the superior theoretical characteristics of our protocol are reflected in practical performance pay-offs.
Growth Pattern , Molecular Identification and Bio molecules Analysis of FOMITOPSIS FEEI

Fomitopsis feei, a brown rot fungus is identified tentatively using morphological characteristics and confirmed phylogenetically by 28S rDNA analysis and sequence was submitted in EMBL Nucleotide Sequence Database. Its growth pattern was studied on eight different solid media and found to be good on Malt extract agar medium. Biomolecules such as proteins and lipid were screened qualitatively and estimated quantitatively. Aminoacid analysis by chromatography and fatty acid analysis by FAME were also done and revealed that tryptophan (20.53%), valine (20.51%) and cis-linoleic acid (43.38%) and palmetic acid (17.88%) were in high percentage.
Hierarchical Manipulation Learning From Demonstration

Despite many efforts in the field of Robotics, human-robot interface still suffers from unnecessary complexities that in turn restricts the application of robots. A plausible solution is an intuitive interface to teach robots variety of tasks via demonstration. In this work, we attempt to design such a framework that allows the robot to learn multi step object manipulation tasks from only a handful of demonstration. In particular, we are interested in the problem of pick and placing. To make the learning process tractable and allow the skills to be generalized, we break down the monolithic policies to hierarchical skills. In other words, Robot acquires different set of skills such as grasping different object and variety of trajectories from different learning sessions and is then able to combine those skills to achieve the objective of a novel task the might require a combination of the previously learned skills by the robot. To accomplish this, we define a notion of action types and use them as labels to train our segmentation model. The process of features extraction from the segmentation process will then be merged with the training process of our controller model where it helps the controller to more carefully learn the relevant features that are associated with the preconditions and postconditions of each segment. To efficiently extract visual features from the cameras installed on the robot, we propose a novel method of training an encoder to transform RGB stereo images into their corresponding depth map, and while doing that, extracting the most important visual features that are relevant to object positions and their corresponding distance from the camera. This is implemented using convolutional neural networks with a bottleneck (feature vector) in the middle to reduce the dimensionality of the data. Next, the extracted visual features are combined with the kinematic features of the demonstrations i.e. pose of the robot’s end-effector as an input to our segmentation and controller modules. Moreover, we introduce a novel methods of grasp prediction using a two-step prediction model. Our algorithm uses a coarse to fine approach to predict the position and orientation of the free grasping points on different object. Also grasp predictions are based on the user predefined position on each object, which is one of the practical requirements in robot grasping tasks in industrial applications. Only the simulated scenes has been used in this work. This might raise the concern over the transferability of the learned skills to the real world applications. We address this issue by suggesting different ways to mitigate this problem, especially for the grasp prediction skill.
Live Writing the Live Coding Book

This paper is a speculation on the relationship between coding and writing, and the ways in which technical innovations and capabilities enable us to rethink each in terms of the other. As a case study, we draw on recent experiences of preparing a book on live coding, which integrates a wide range of personal, historical, technical and critical perspectives. This book project has been both experimental and reflective, in a manner that allows us to draw on critical understanding of both code and writing, and point to the potential for new practices in the future.
RhetoRical StRuctuRe theoRy aS a FeatuRe FoR Deception Detection in newS RepoRtS in the RuSSian language

The framework of the Rhetorical Structure Theory (RST) can be used to reveal the differences between structures of truthful and deceptive (fake) news. This approach was already used for English. In this paper it is applied to Russian. Corpus consists of 134 truthful and deceptive news stories in Russian. Texts annotations contain 33 relation categories. Three data sets of experimental data were created: with only rhetorical relation categories (frequencies), with rhetorical relation categories and bigrams of categories, with rhetorical relation categories and trigrams of categories. Support Vector Machines and Random Forest Classifier were used for text classification. The best results we got by using Support Vector Machines with linear kernel for the first data set (0.65). The model could be used as a preliminary filter for fake news detection.
Selected Harmonic Elimination for Cascaded Multilevel Inverter Based on Photovoltaic with Fuzzy Logic Control Maximum Power Point Tracking Technique

This paper describes the work performed on a single phase 9-level cascaded H-Bridge multilevel inverter (CHB-MLI) for photovoltaic (PV) power generation, using two methods of maximum power point tracking (MPPT)—namely fuzzy logic controller (FLC) and perturbation & observation (P&O). The MPPT scheme is used to extract maximum power from solar PV cells. PV cell temperature and solar irradiation are input quantities and the two used methods estimate the optimum duty cycle to ensure DC-DC boost converter maximum output. This paper also compares the results obtained by the work performed on CHB-MLI with DC-DC boost converter using FLC based MPPT controller to that of results obtained with the conventional P&O method. The fuzzy logic controller works with imprecise inputs, it does not need an accurate mathematical model and it can handle nonlinearity well. Besides, fuzzy is more robust as compared to the conventional non-linear controller. The genetic algorithm (GA) based Selective Harmonic Elimination (SHE) technique is also applied to CHB-MLI for the elimination of harmonics from the output voltage. In the work reported in this paper on PV inverter making use of the Fuzzy MPPT technique, the obtained total harmonic distortion (THD) of the output voltage without filter circuit and with filter circuit are within IEEE standard 519.
Rurality in Brazilian Northeast : spatial distribution and cluster identification

Analyzing the configuration of rurality in Northeast Brazil and correlation structures between the counties of this region enables identification of more or less rural clusters. To that end, multivariate statistics using factorial analysis of principal components was used to obtain the suggested rurality variable proposed by Ocaña-Riola and Sánchez-Cantalejo (2005). Moreover, the local and global Moran indexes were used to determine correlation structures throughout the northeast and between counties, allowing identification of clusters and outliers. Statistical computations are based on a demographic census and agriculture census, both conducted by the Brazilian Institute of Geography and Statistics (IBGE). Results show a tendency to form clusters in the Northeast, the most consolidated located in the less rural regions, demonstrating isolation and low dynamics in more rural areas, as well as intensification of the link between rural and urban areas. However, some clusters covering large areas and many counties in more rural areas also deserve attention. There is also a tendency to proximity between counties with similar characteristics, in relation to rurality. For methodological purposes, the tools used were appropriate for the type of analysis, given the comparison between results and expectations, interpretation based on statistical results, and results of suitability tests and validity of the model used.