Miracle-dz/UniFAR-FTUs huggingface dataset:
A System for Mapping Text to Specific Reviewers

Automatic reviewer assignment is a common and crucial task faced in either academia or daily life. For example, for program chairs of conference or scientific journal editors, assigning a submitted paper to the most appropriate reviewers is a basic process in order to enable the author to get a fair and high-quality assessment. However, it is not a simple task, as the numbers of both papers and reviewers are fairly large, manually assigning thousands of papers to thousands of reviewers is significantly beyond the ability of one person. Furthermore, another constraint exists: Usually, if a new reviewer need to be added into the review system, and the program chair is not familiar with him or her, a lot of time has to be spent studying the expertise of this reviewer, which is really time-consuming. Selecting appropriate reviewers must certainly includes some consideration regarding a reviewer’s expertise or research interest. This paper provides an overview of the web interface Reviewer Mapping System(RMS) developed by the author. Its features include modifying the set of reviewers in the system (adding and deleting reviewers), providing the suggested URLs of a reviewer’s pages (in this system, is the reviewer’s home page in DBLP computer science bibliography [5]), characterizing a reviewer’s profile by analyzing their published papers, and matching the abstracts of submitted papers to the appropriate reviewers. Nowadays, it is common to convert the task of matching abstracts to appropriate reviewers into an information retrieval task. In this thesis, two approaches are used to implement information retrieval: one is the bag-of-words model, vectorspace model is a typical algorithm, and the other one is the word-embedding model, a typical approach is word2vec. Both approaches will be evaluated in order to determine which model is more appropriate for the Reviewer Mapping System.
Biodiversity of Coastal Marine Ecosystems Functional Aspects

s of the poster presentations 67 Recolonization genetics: The development of genetic diversity during colonization of the seagrass 69 Cymodocea nodosa Filipe Alberto Monothalamous soft-shelled foraminifera in Sevastopol bay (Crimea, the Black Sea) Oksana 69 Anikyeyeva Genetic variability and population stability in Posidonia oceanica (Delile) meadows Sophie 71 Arnaud-Haond Benthic macrofauna as an index to biodiversity, biomass and productivity in Mediterranean coastal 71 lagoons Paolo Breber Is the role of an invasion different in "rich" and "poor" benthic communities? a study on solute 72 transport across the sediment-water interface Darius Daunys Population structure of the dwarf eelgrass Zostera noltii along the Iberian Peninsula: data from 72 microsatellite analyses Onno E Diekmann Determination of phytoplankton community with HPLC pigment analyses from fish farms area 73 Vesna Flander-Putrle Testing the relationship between biodiversity and invasibility of marine communities Jackie Hill 75 The structure and role of the macrofauna community in seaweed disintegration in the supralittoral 75 zone of the Polish sandy coastal system Marcin F J~drzejczak Bryozoan diversity as tool for determining the environmental conditions Piotr Kuklinski 76 Biodiversity of macrofaunal communities in intertidal boulder fields of Brittany (France): patterns of 77 distribution and hierarchical structure Maryvonne Le Hir Toxic phytoplankton species on the shellfish farms on the eastern Adriatic coast Sanda Marinov 77 The effects of artificial Coral Reefs on the marine biodiversity: A case study of the Eastern Black 78 Sea Evren RMazlum Current state and long-term changes of seagrass communities in some temperate Euro-Asian seas 78 Natalya Milchakova The role of biodiversity in seston-suspension feeder trophic interactions Signe Nielsen 79 Benthic habitat quality along a disturbance gradient in Inner Galway Bay: a comparative case study 79 of faunal analyses and sediment profile imagery (SPI) Ronan O'Reilly In-situ assessment of macroinfaunal activity in an inter-tidal mudflat using time-lapse sediment 79 profile imagery (tSPI) Adrian Patterson The effect of pollution and human impact on the biodiversity in the Eastern Black Sea marine 79 ecosystem Nuket Sivri Biodiversity and organic matter processing on a sandy beach: An experimental approach Barbara 80
Design of High Speed Architecture for a LDPC Decoder

From the given set of inputs finding the minimum number is a very easy task. But finding the second minimum requires the derivatives of the first minimum and finding the minimum number from the remaining numbers. This paper proposes new two techniques to find the first two minimum numbers. In these techniques first method is based on sorting algorithm and second method is based on tree structure. In this paper, implementation of previous techniques, the new two techniques are done in Altera DE2 FPGA kit. Comparison of performance analysis of previous techniques and the new techniques are done. Efficient algorithms and cost effective hardware of finding the two smallest numbers are greatly needed for low density parity check (LDPC) decoder design. Keywords— Minimum value generator, LDPC Decoder, tree structure approach.
DESIGN OF POWER EFFICIENT ONE-DIMENSIONAL MEDIAN FILTER

There are many established techniques in gray value image processing for noise removal. Median filters are the most popular method for noise extraction to achieve high throughput and low hardware cost. In contrast, energy efficiency architecture remains an untapped area for power improvement though it has become a topic of current technology. This paper proposes efficient low-power architecture for the design of a median filter. This is a pipelined filter architecture which receives input samples and generating a median output for every clock cycle. The number of signal transition in the design is decreased by storing 3 x 3 sample window’s pixel. By this proposed architecture will decrease the power at the expenses of slight increase in area.
Environmental Impact of Pastoral Nomadism on Crop Farming in Ohafia , Abia State , Nigeria *

This study assessed the environmental impact of pastoral Nomadism on crop farming in Ohafia, Abia State, Nigeria. A combination of purposive and multi-stage random sampling techniques were adopted to survey the eight directly affected out of the twenty-six communities in Ohafia Local Government Area. Primary data were sourced using structured questionnaire, a well planned non-participatory observation scheme and an in-depth interview for the non-literate respondents and the Nomads. The origin and migratory pattern of the Nomads were studied. The state of environment before and after the emergence of the nomads was compared. The size of farmlands overtaken by erosion and deforestation, farmers’ expenditure to recover/enrich devastated farmlands and extra cost of recropping were estimated. The farm yields of affected farms were compared before and after the emergence of the nomads, and again with the yields from non affected farms during the same period. Results showed that the activities of the Nomads led to deforestation, erosion, desertification, hardening of top soil surface and loss of fertility among others. The litter from the livestock of the nomads served as manure in the farmlands but also created unsightly surroundings in addition to polluting community streams, children’s play ground, shrines, church premises and village squares (recreation parks). Construction of sedentary or permanent resident for the Nomads and development of fiscal policy that shall provide the Nomads with user rights protecting them from being attacked by villagers are strongly advocated.
Detection of Transportation Mode Using Mobile Phone

As smartphone advance in practicality and capability, they're more and more getting used as instruments for private observance. Applications area unit being developed that make the most of the sensing capabilities of mobile phones several have accelerometers, location capabilities, imagers, and microphones to infer contextual info. My plan is to form Associate in nursing mobile application to observe the transport mode of the vehicle and it's principally employed in the serious vehicles to observe the movement of the vehicle to forestall from accident. To execute this application we'd like a measuring instrument device and GPS device however the most advantage of this idea is, simply a smartphone is enough for this application wherever the each measuring instrument and GPS is on the market on that. The target application for this transportation mode abstract thought involves assessing the hazard exposure Associate in nursing environmental impact of an individual’s travel patterns. Our epitome system consisting of a call tree followed by a first-order Hidden mathematician Model achieves the appliance demand of getting accuracy level larger than ninetieth once testing with our dataset consisting of twenty hours of knowledge collected across six people.
Retention of Title IV ‐ E and Non ‐ Title IV ‐ E Child Protective Service Practitioners

Professional Development: The International Journal of Continuing Social Work Education is a refereed journal concerned with publishing scholarly and relevant articles on continuing education, professional development, and training in the field of social welfare. The aims of the journal are to advance the science of professional development and continuing social work education, to foster understanding among educators, practitioners, and researchers, and to promote discussion that represents a broad spectrum of interests in the field. The opinions expressed in this journal are solely those of the contributors and do not necessarily reflect the policy positions of The University of Texas at Austin’s School of Social Work or its Center for Social Work Research. Professional Development: The International Journal of Continuing Social Work Education is published three times a year (Spring, Summer, and Winter) by the Center for Social Work Research at 1 University Station, D3500 Austin, TX 78712. Journal subscriptions are $110. Our website at www.profdevjournal. org contains additional information regarding submission of publications and subscriptions. Copyright © by The University of Texas at Austin’s School of Social Work’s Center for Social Work Research. All rights reserved. Printed in the U.S.A.
An approach towards a new phylogenetic classification in Diatrypaceae

The ascal morphology and its taxonomic significance were explored in almost all species of octosporous Diatrypaceae: Cryptosphaeria, Diatrype, Echinomyces, Eutypa and Eutypella. The resulting character information along with other morphological characters were used to infer phylogenetic relationships among species and genera in the family. Peroneutypa, is resurrected to accommodate seven species and the following new combinations are proposed: Peroneutypa alsophila, Peroneutypa arecae, Peroneutypa comosa, Peroneutypa curvispora, Peroneutypa gliricidiae, Peroneutypa kochiana, Peroneutypa scoparia and Peroneutypa obesa. A key to species of Peroneutypa is provided. These new taxonomic arrangements, based on phylogenetic evidence, are proposed here for the first time.
A triplex-PCR for SE 33 , D 12 S 391 and D 8 S 1132 and a singleplex-PCR for D 6 S 389 in a single run

In this study, we investigated the loci SE33, D12S391 and D8S1132 in a triplex-PCR and the locus D6S389 in a singleplex-PCR, which were analyzed simultaneously in a single run, within a sample of 342 unrelated Austrian Caucasoid individuals. D 2005 Elsevier B.V. All rights reserved.
Nutrient Composition and Digestibility of Corn Distillers Co-Products Beef Cattle

THE U.S. BEEF CATTLE INDUSTRY has been a major consumer of wet and dried corn distillers co-products for decades. In 2017, the U.S. beef industry was the greatest consumer of distillers co-products amount all animal species, which represent 44 percent of total domestic use. As a result, there has been a signi cant amount of research conducted to evaluate the feeding value of corn distillers co-products to beef cattle, of which most has focused on optimizing use in nishing feedlot beef cattle where it is used in the greatest quantities. Several excellent research summaries and feeding recommendations were been published 10 or more years ago (Erickson et al., 2005; Tjardes and Wright, 2002; Loy et al., 2005a; Loy et al., 2005b, Klopfenstein et al. (2008)). However, over 140 studies have been published since 2010 and the results of these studies are summarized in this chapter.
Effect of wall heat transfer on screech in a turbulent premixed combustor

Large eddy simulation (LES) of adiabatic and thermally coupled walls are compared for a turbulent bluff-body flame which exhibits a strong unstable transverse mode called screech. The flame is stabilized behind a triangular flame holder. LES captures the highfrequency mode, but results depend on the condition used for heat transfer on the flame holder. Going from an adiabatic simulation to a thermally coupled case shifts the LES instability frequency: conjugate heat transfer (CHT) also modifies the limit-cycle amplitude: a decrease of 30 % of the maximal amplitude is found compared to the adiabatic LES. An active control methodology is applied to control the mode and trigger it in order to study growth rates. In the linear regime, CHT results have growth rates which are half of those obtained for the adiabatic LES. This study shows the effect of wall temperature on flame dynamics and the importance of wall temperatures for LES of combustion instabilities.
Between generative prototyping and work of synthesis in design: Interplay and adding value in the early concept development

The paper analyzes a case in which generative prototypes are applied as part of a participatory design methodology to elicit insights from practitioners, and how these insights are translated and represented, to inform the following work of synthesis in design. In literature, arguments are made for the value of involving practitioners as active participants in the development process, which holds the potential to develop innovative products. The paper unfolds a discussion on how knowledge from different sources can be qualified and re-qualified through a methodology of generative iterations, creating a valuable interplay between participatory sessions and background development work. Through an empirical study, it is analyzed how this can be achieved through intermediate methods informing decisions in design to be made based on practitioner wishes and desires, but necessitating re-qualification through iterations. The paper concludes, that the methodology can frame a process of eliciting explicit and implicit knowledge from different sources, but that the designer, as being part of the entire process, comes to hold ‘sticky’ knowledge that difficult to transfer, which implicitly influences the design process. It is considered how such brokering of knowledge by the designer can have a role in the further downstream of product development.
Inner and Outer Set-membership State Estimation

The main contribution of this paper is to provide a method (probably the first), based on separator algebra, which makes it possible to compute an inner and an outer approximations of the set X (t) of all states that are consistent with an initial set X (0) containing the initial state vector x (0) and a state equation of the form ẋ (t) = f (x (t)) , t ∈ R. As an application, we consider the state estimation problem where feasible state vectors have to be consistent with some data intervals.
Integrated Systems and Technologies Apoptosis Imaging for Monitoring DR 5 Antibody Accumulation and Pharmacodynamics in Brain Tumors Noninvasively

High-grade gliomas often possess an impaired blood–brain barrier (BBB), which allows delivery of large molecules to brain tumors. However, achieving optimal drug concentrations in brain tumors remains a significant hurdle for treating patients successfully. Thus, detailed investigations of drug activities in gliomas are needed. To investigate BBB penetration, pharmacodynamics, and tumor retention kinetics of an agonistic DR5 antibody in a brain tumor xenograft model, we utilized a noninvasive imaging method for longitudinal monitoring of apoptosis induction. Brain tumors were induced by intracranial (i.c.) implantation of a luciferase-expressing tumor cell line as a reporter. To quantify accumulation of anti-DR5 in brain tumors, we generated a dosage–response curve for apoptosis induction after i.c. delivery of fluorescence-labeled anti-DR5 at different dosages. Assuming 100% drug delivery after i.c. application, the amount of accumulated antibody after i.v. application was calculated relative to its apoptosis induction. We found that up to 0.20% to 0.97% of antibody delivered i.v. reached the brain tumor, but that apoptosis induction declined quickly within 24 hours. These results were confirmed by three-dimensional fluorescence microscopy of antibody accumulation in explanted brains. Nonetheless, significant antitumor efficacy was documented after anti-DR5 delivery. We further demonstrated that antibody penetration was facilitated by an impaired BBB in brain tumors. These imaging methods enable the quantification of antibody accumulation and pharmacodynamics in brain tumors, offering a holistic approach for assessment of central nervous system–targeting drugs. Cancer Res; 74(7); 1913–23. 2014 AACR.
Some remarks on area-preserving actions of lattices

In the spirit of Zimmer’s study of large groups actions on closed manifolds, we discuss the existence of area-preserving actions of higher rank lattices on surfaces. We explain why certain vanishing results in bounded cohomology, due to Burger and Monod, combined with some constructions by Gambaudo and Ghys, give some constraints on the measure theoretical properties of such actions.
A perceptual mapping of online travel agencies and preference attributes

Planning and booking a trip online is now increasingly common for travelers. This manuscript addresses two purposes. One is to investigate the important choice attributes of online travel agencies from which online customers may select. Two, the study identifies the current positions of seven online travel agencies in the perception of the customer. The data for this study was collected from the directories of seven universities through an online survey. In terms of the importance of online travel agency attributes, finding low fares was the most critical followed by security. Customers considered various attributes simultaneously, other than bargain price and security. Furthermore, the result from the multidimensional scaling showed how travelers perceived the seven online travel agencies in comparison with each other. The results also revealed that each online agency had some different patterns based on a b Purchase Export Previous article Next article Check if you have access through your login credentials or your institution.
Study objectives : what can MCS tell us ?

Because anurans rely on vocalization for most communication, detection of species-specifi c calls provides relatively effi cient mechanisms for studying and evaluating the status of anuran populations. Consequently, most amphibian monitoring programs focus on anurans and use call detection as their sole or primary monitoring technique. The overall goal of these programs is to determine and monitor the status of populations over time. Some monitoring programs may actually attempt some form of quantifi cation of anuran population size or density, but this is often diffi cult when using only calling data. In this chapter we describe approaches for monitoring anuran populations based solely on auditory techniques. These approaches include manual calling surveys (MCS), automated recording systems (ARS), or some combination of the two. MCS can be used by researchers to monitor multiple amphibian populations, often over large spatial scales. ARS can be used by researchers interested in intensively monitoring populations of anurans at a single or a few locations. In this chapter, we describe both approaches and the potential costs and benefi ts of each. We also explain how data resulting from ARS can be used to optimize manual survey protocol and to interpret data resulting from MCS. Our goal is to provide an overview of these techniques and questions that can be addressed using them.
C R ] 3 J un 2 01 9 Encryption Scheme Based on Expanded Reed-Solomon Codes

We present a code-based public-key cryptosystem, in which we use Reed-Solomon codes over an extension field as secret codes and disguise it by considering its expanded code over the base field. Considering the expanded codes provide a safeguard against distinguisher attacks based on the Schur product. Moreover, without using cyclic or quasi-cyclic structure we obtain a key size reduction of nearly 60% compared to the classic McEliece cryptosystem proposed by Bernstein et al.
Summarizing the Evolutionary Tweet Streams with Timeline Generation

Short-instant messages, for example, tweets are being made and shared at an exceptional rate. Tweets, in their crude structure, while being enlightening, can likewise be overpowering. For both end-clients and information investigators, it is a bad dream to push through a large number of tweets which contain gigantic measure of commotion and repetition. In this paper, we propose a novel ceaseless synopsis structure called Sumblr to reduce the issue. As opposed to the customary record outline strategies which concentrate on static and little scale information set, Sumblr is intended to manage progressive, quick arriving, and extensive scale tweet streams. Our proposed structure comprises of three noteworthy segments. In the first place, we propose an online tweet stream grouping calculation to bunch tweets and keep up refined measurements in an information structure called tweet group vector (TCV). Second, we build up a TCVRank rundown procedure for creating online synopses and authentic outlines of self-assertive time lengths. Third, we plan a viable point advancement location technique, which screens rundown based/volume-based varieties to create courses of events consequently from tweet streams. Our trials on substantial scale genuine tweets show the productivity and adequacy of our system.
Learning to Recognize Speech From Chaotically Synthesized Data

Academic researchers in speech recognition have for years been stymied by a lack of large data corpora of speech audio with accurate transcripts. To combat this, we present a novel method to synthetically create an arbitrarily large dataset of transcribed speech. We designed a synthetic speech generator to create speech audio from Wikipedia articles. In order to model human variation and natural noise, we injected “chaos” into the speech generation pipeline. This newly generated corpus of chaotically synthesized speech became the input data to our end-to-end deep learning speech recognizer. Through experiments, we show that our synthetic speech data can be successfully used to augment a model trained off of the Switchboard dataset. With more computation, we hope that the synthetic speech model will be able to exceed state-of-the-art results in speech recognition.
Susceptible to Social Influence : Risky “ Driving ” in Response to Peer Pressure

In 2 studies, college students were socially influenced to be risky or not in a driving simulation. In both studies, confederate peers posing as passengers used verbal persuasion to affect driving behavior. In Study 1, participants encouraged to drive riskily had more accidents and drove faster than those encouraged to drive slowly or not encouraged at all. In Study 2, participants were influenced normatively or informationally to drive safely or riskily. As in Study 1, influence to drive riskily increased risk taking. Additionally, informational influence to drive safely resulted in the least risk taking. Together, the studies highlight the substantial influence of peers in a risk-related situation; in real life, peer influence to be risky could contribute to automobile accidents. jasp_735 773.797