Active Learning for Argument Strength Estimation

High-quality arguments are an essential part of decision-making. Automatically predicting the quality of an argument is a complex task that recently got much attention in argument mining. However, the annotation effort for this task is exceptionally high. Therefore, we test uncertainty-based active learning (AL) methods on two popular argument-strength data sets to estimate whether sample-efficient learning can be enabled. Our extensive empirical evaluation shows that uncertainty-based acquisition functions can not surpass the accuracy reached with the random acquisition on these data sets.

Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing

We review two features of mixture of experts (MoE) models which we call averaging and clustering effects in the context of graph-based dependency parsers learned in a supervised probabilistic framework. Averaging corresponds to the ensemble combination of parsers and is responsible for variance reduction which helps stabilizing and improving parsing accuracy. Clustering describes the capacity of MoE models to give more credit to experts believed to be more accurate given an input. Although promising, this is difficult to achieve, especially without additional data. We design an experimental set-up to study the impact of these effects. Whereas averaging is always beneficial, clustering requires good initialization and stabilization techniques, but its advantages over mere averaging seem to eventually vanish when enough experts are present. As a by product, we show how this leads to state-of-the-art results on the PTB and the CoNLL09 Chinese treebank, with low variance across experiments.

The influence of the cyclic loading on the moment capacity and deflection of HSC beams

This research presents an empirical study about the behavior of High Strength Concrete beams under the static cyclic loading. It determines the influence of cyclic loading on the moment capacity and deflection of HSC beams. A comparison of the moment capacity and deflection in both kinds of loading (monotonic and cyclic loading) were achieved. High Strength Concrete mixture was designed, based on the specifications of the American code ACI 211.4R-93. Thirty six concrete beams were prepared, nine of them were tested under monotonic loading and the rest of beams were tested under cyclic loading. The cyclic loading was performed for (5,10,15) cycles, at a range from zero to 65%, 75%, 85% of the minimum expected monotonic load. The results showed that the cyclic loading have positive effect on the flexural behavior of HSC members, whereas the moment capacity increased and the deflection decreased, especially at a range from zero to 75% of the minimum expected monotonic load, when the number of cycles was 5,10,15.

Experimental Study to determine Elastic Modulus of Natural-Pozzolan- Modified Concrete

This research presents an empirical relationship between modulus of elasticity with compressive strength concrete that is prepeard from localized materials and containing several perecentages of natural pozzolan (0 ,10 ,15, 20)% , also for tow cement quantity (350 ,400 ) Kg/m3 and for tow ages(28 ,90 ) day .Then comparing the experimentally obtained result with the mechanical properties calculated using the recommend relationship from the various design codes. A new empirical relationship between elastic modulus, and compressive strength for concrete containing natural pozzolan is proposed.

Effect Of Different Types Of Irrigant Solutions On Dentin Flexural Strength (in-vitro study)

The aim of this study was to evaluate and compare the effect of irrigation solutions on the dentin flexural strength .(20) extracted third molars were gathered with age avarege (18-24) years old, and the dentine bars that will be prepared and designed for study with similar dimensions (width 1 mm, thickness 2 mm, Length of at least 7 mm).

دراسة تأثير الاضافة المشتركة للغضار السوري و أوكسيد المغنيزيوم على مرونة الحجر الإسمنتي

The study of the effect of the common addition of Syrian Clay and magnesium oxides on the specifications of the resulting cement stone and specifically its effect on the elasticity of the resulting stone.

Evaluation of Fracture Resistance of EGlass Fiber Reinforced Composite when Used to Repair two Different Kinds of Dental Ceramic (In-vitro study)

This study aimed to evaluate the fracture resistance of the E glass Fiber Reinforced Composite when used to repair two different kinds of dental porcelain.

An In Vitro Comparative Study On The Effect Of Different Etching Systems On Bonding Strength Of Giomer To Conventional Glass Ionomer Cement

An appropriate bond between glass‑ionomer and the superficial resin materials is very important for the success of sandwich technique. The aim of the present in vitro study was to evaluate the effect of three surface treatments of conventional glass‑ionomer on its shear bond strength to giomer

An Enhanced Real-Time Routing Protocol with load distributionERTLD ;Compared to Baseline Routing Protocols In MWSN

Mobile wireless sensor network (MWSN) is a wireless ad hoc network that consists of avery large number of tiny sensor nodes communicating with each other in which sensornodes are either equipped with motors for active mobility or attached to mobile objectsfor passive mobility. A real-time routing protocol for MWSN is an exciting area of research because messages in the network are delivered according to their end-to-end deadlines (packet lifetime) while sensor nodes are mobile. This paper proposes an enhanced realtime with load distribution (ERTLD) routing protocol for MWSN which is based on our previousrouting protocol RTLD. ERTLD utilized corona mechanism and optimal forwardingmetrics to forward the data packet in MWSN. It computes the optimal forwarding nodebased on RSSI, remaining battery level of sensor nodes and packet delayover one-hop. ERTLDensures high packet delivery ratio and experiences minimum end-to-end delay in WSNand MWSN compared to baseline routing protocol. . In this paper we consider a highly dynamic wireless sensor network system in which the sensor nodes and the base station(sink) are mobile.ERTLD has been studied and verified and compared with baseline routing protocols RTLD,MM-SPEED , RTLCthrough Network Simulator- 2(NS2)

Study the effect of agar extraction pH on its yield and physical properties from the Syrian marine alga Pterocladia capillacea

The research aims to study is to study the effect of the pH factor of Pterocladia capillacea on agar yield and some of its physical properties using different degrees of pH (4- 5.5 - 5.5 - 6.5 - 7.5 - 7.5 - 8). The maximum yield of agar was 37.45% at pH = 5 and 562g / cm2 and viscosity 10.7cP and 15.45% at pH = 8 with the highest strength of 768 g /cm2 and viscosity of cP 156. The degree of melting and melting of agar Between (22- 33.5 οC) and (75- 86 οC), respectively.