Miracle-dz/UniFAR-FTUs huggingface dataset:
characterization and recycling effect Low combustible polypropylene / flax / magnesium hydroxide composites : mechanical , flame retardation

Natural fibre-reinforced polymer composites are nowadays receiving considerable attention, especially in the automobile and civil engineering industries. Reduction in flammability characteristics besides retention of their excellent mechanical properties will ensure wider market for these composites. Polypropylene matrix was reinforced with 30 and 50 wt% of flax fibres. Magnesium hydroxide was added at different levels of 0, 20 and 30 wt% in order to investigate the flammability resistance behaviour. Thermal and thermomechanical tests were carried out in order to evaluate new and recycled composites. Limited oxygen index was improved to more than 27 with 50 wt% flax/30% magnesium hydroxide, although very slow burning rate in the horizontal test condition was achieved with 30/30, 50/20 and 50/30 wt% for flax/magnesium hydroxides. Regarding the UL94 test, no sample passed vertical burn test. Recycling of these composites was investigated and showed 4 and 10% decrease in strength and stiffness, respectively. Recycling experiments on 50/30 system showed an effect of 5% limited oxygen index decrease after reprocessing for two cycles.
Vegetation structure and potential gross primary productivity of mangroves at Kadolkele in Meegamuwa (Negombo) estuary, Sri Lanka

The potential gross primary productivity of the mangrove stands at Kadolkele in Meegamuwa (Negombo) estuary was studied in relation to vegetation structure with a view to understanding the salient structural components that affect functioning of mangrove ecosystems. Structure of mangrove stands under study was characterized with plant species richness, plant (stem) density, frequency of occurrence of constituent species, plant basal area and height. The structural complexity index values calculated from above parameters revealed a statistically significant (p DOI: 10.4038/sljas.v13i0.2209 Sri Lanka J. Aquat. Sci. 13 (2008): 95-108
A COMPARISON OF ASYMMETRY IN ATHLETIC GROIN PAIN PATIENTS AND ELITE RUGBY UNION PLAYERS USING ANALYSIS OF CHARACTERISING PHASES

This study compared levels of inter limb asymmetry between field sports players with athletic groin pain and international rugby union players. Three dimensional kinematics and kinetics were recorded for the single leg hurdle hop and side cut movement. Analysis of characterising phases was utilised to identify significant differences in asymmetry between the two groups. The rugby union group had significantly greater asymmetry in some kinematic variables and hip kinetic variables at the beginning of the exercises. Overall however, the athletic groin pain group displayed greater asymmetry, particularly in hip moments compared with the rugby union group. These results suggest that an aspect of rehabilitation for athletic groin pain should focus on reducing asymmetric hip moments.
LINEAR BLOCK AND THEIR :E ANALYSIS

This paper presents a new minimum-weight trellis-based soft-decision iterative decoding al-gorithm for binary linear block codes. Simulation results for the RM(64,22), EBCH(64,24), RM(64,42) and EBCH(64,45) codes show that the proposed decoding algorithm achieves practically (or near) optimal error performance with significant reduction in decoding computational complexity. The average number of search iterations is also small even for low signal-to-noise ratio.
Safe Imitation Learning for End-to-End Control

As the use of deep neural networks as controllers for robotic systems becomes more prevalent, the issue of safety within artificial intelligence becomes an increasingly important concern. Recently the deployment of end-to-end imitation learning to develop neural network control policies has increased rapidly in popularity due to the ease with which deep models can learn complex dynamics and infer global state from local data while bypassing the need for significant handtuning of parameters. However, collecting the large datasets required by these methods is a difficult process, and it is often impossible to collect and process a dataset in a sense that is complete enough to cover every possible scenario. Hence the challenge is to design a system capable of taking an appropriate action given novel data at test time. The ability to effectively handle novel data is key to the introduction of safety in intelligent control. Bayesian neural network models may be used to produce an uncertainty estimate along with a prediction. Corrective action, such as a return of control to the optimal controller or human expert, can then be taken when the uncertainty associated with a prediction exceeds a threshold. We propose an algorithm that combines reinforcement learning and end-to-end imitation learning to simultaneously learn a control policy as well as a threshold over the predictive uncertainty of the learned model, with no hand-tuning required. We validate our method on fully-observable and vision-based partially-observable systems on cart-pole and autonomous driving simulations using deep convolutional Bayesian neural networks. We demonstrate that our method is robust to uncertainty resulting from varying system dynamics as well as from partial state observability.
3 Precision Quantitative Proteomics with Fourier-Transform Mass Spectrometry

The Fourier-transform mass spectrometry (FTMS) instrument offers a mass resolution higher than most of other mass spectrometers. This high resolution is in part due to the better stability offered by a superconductor magnet in FTMS than a radio frequency voltage utilized in many other mass spectrometers. The extremely high resolution of FTMS has very important application in biomedical proteomics research. The high resolution not only dramatically improves the reliability of protein identification but also the accuracy of protein quantitation. In this chapter, we present several examples of proteomics study that takes advantage of the high resolution offered by FTMS. Particularly, we describe examples of proteome dynamic study with isotopomer analysis, and precise peptide and protein label-free quantitation with rigorous statistical assessments. In protein dynamic studies, FTMS readily resolves all of the isotopomer peaks for peptides. The well-resolved isotopomer peaks allow a direct integration of the intensities of different isotopologue envelopes without the need of a deconvolution algorithm. With the highresolution data, we were able to show that protein turnover measurement revealed more subtle changes in the dynamics of a proteome. The high resolution of FTMS helps to reduce the interference of contaminant peaks (Fig. 1). The ability to resolve the targeted peptide isotopomer peaks from interfering ones greatly facilitates the implementation of a label-free quantitative proteomics method that relies on peptide cross reference between liquid chromatography runs and the integration of extracted ion chromatographic intensities (Lipton et al., 2002). With both high confidence in peptide identification and quantitation, we showed that the major source of variability lies more in sample preparation than in liquid chromatography/mass spectrometry analysis. Such a result has a direct consequence in the statistical approaches utilized to assign significance in label-free quantitative proteomics. Two sections are presented in this chapter. The first one briefly discusses the general aspect of a protein turnover analysis followed by examples of proteome dynamics study in acid stressed and iron limited mycobacterial cells. The second one describes the utilization of high-resolution FTMS data for label-free quantitation of proteins with a rigorous statistical assessment of significance in differential protein abundances. The spectra shown in the panels a to e of Fig. 1 are for a tryptic peptide from a superoxide dismutase in M. smegmatis (MSMEG_6427; Mn) with a sequence of AFWNVVNWDDVQNR.
Accelerator-based facility design in association with nuclear data

At present, large research infrastructures using high energy and high beam intensity accelerator have been almost realized as examples of SINQ, J-PARC and SNS. In the design study of such accelerator facilities, it is required to seek the best neutronic performance and assure engineering feasibilities such as heat removal from the target and its surroundings, material selection to have enough life-time under radiation environment for reasonable operation duration. It is also important to design sophisticated maintenance scheme including remote handling to treat highly activated components, and optimal radiation shield around them. The roles of nuclear data to these aspects and perspectives are reviewed through the design of J-PARC spallation neutron source.
Multi-Attribute Combinatorial Reverse Auction Model for Resource Procurement in Fog Integrated Cloud Architecture

Fog computing is an emerging service-oriented market with cloud association to fulfill mobile users resource demands for real-time applications. This work aims to develop a Fog Integrated Cloud Auctioning Model (FICAM) for resource provisioning using multi-attribute combinatorial reverse auction mechanism. Due to the unique need of the data sources mobility and limited resources in fog, existing cloud computing reverse auction architecture and techniques cannot be directly applied for resource procurement in fog integrated cloud architecture. To overcome this architectural limitation, we have developed a reverse auction based model which includes the customer, broker, fog providers, cloud providers and fog and cloud providers as participants. A pricing scheme is proposed which divides prices into three types, depending on resource requirement, i.e., local fog, remote fog, and cloud. A truthful, robust and fair algorithm for resource allocation is proposed which considers response time, data source mobility requirements and fog resource limitation. To encourage providers to bid truthfully, an incentive scheme inspired by Vickery Auction is proposed. An algorithm for resource procurement is also proposed in which instead of all resources proposed by winning provider in bundle; algorithm takes only that much resources as required by customer i.e., acquire as per need. Experimental results show that the proposed model offers a lower resource procurement cost in polynomial time in comparison to other states of the art. Customer is given bundle discount based on certain threshold, and that discount will be in a ratio of amount of resources taken by amount of the proposed resources. To the best of authors knowledge, this is the first model which implements an auctioning model for resource procurement in fog integrated cloud architecture.
Simulation Techniques for Noise in Non-Autonomous Radio Frequency Circuits

In this paper we consider the problem of noise analysis for non-autonomous nonlinear RF circuits in presence of input signal phase noise. We formulate this prob lem as a stochastic differential equation and solve it in the presence of white-noise sources. We then relate this solution to results of the existing nonlineax timedomain and frequency-domain methods of noise anal ysis and point out the modifications required for the present techniques. We illustrate our technique using an example.
XXI ° CICLO FERMENTATIVE DISTURBS IN DAIRY COW : SUBACUTE RUMINAL ACIDOSIS IN FIELD CONDITIONS AND METABOLIC-INFLAMMATORY EFFECTS OBSERVED

1 RIASSUNTO . 3 INTRODUCTION . 6 THE TRANSITION COW . 6 DIGESTIVE AND RUMINAL FERMENTATION DISTURBANCES . 8 Simple indigestion . 8 Rumen alkalosis and putrefaction of rumen ingesta . 8 Ruminal tympany . 9 Ruminal parakeratosis . 10 Vagus indigestion . 10 Acute carbohydrate engorgement (Ruminal acidosis) . 11 Subacute Ruminal Acidosis (SARA) . 11 METABOLIC DISEASES OF THE TRANSITION . 13 NUTRITIONAL STRATEGIES TO SUPPORT METABOLIC DEMAND . 15 BCS control . 16 Prepartum diet . 16 NUTRITIONAL MANAGEMENT OF TRANSITION COWS: THE FIBER . 18 RELATIONSHIP BETWEEN SUBACUTE RUMINAL ACIDOSIS AND GENERAL HEALTH STATUS . 19 SARA and acute phase response . 19 SARA and stress, dry matter intake, body condition score . 23 SARA and other systemic/metabolic disturbs. 25 MATHERIALS AND METHODS . 30 FARMS . 30 ANIMALS . 31 SAMPLES . 32 IN FIELD: DATA AND ANALYSIS . 33 LABORATORY ANALYSES . 34 STATISTICAL ANALYSIS . 36 RESULTS . 38 FIELD DATA . 38 LABORATORY DATA . 44 DISCUSSION . 62 CONCLUSIONS . 69 REFERENCES . 73
Measuring Persuasiveness in Behaviour Change Support Systems

In order to guide, measure and record progress in BCSS’s a framework which outlines relevant aspects and methods by which they may be measured must be agreed. In this paper we introduce relevant criteria from argumentation: argument mode, initial position, belief entrenchment and incremental persuasion and show how these apply to a real world example of behaviour change. We ﬁnish by proposing a preliminary evaluation matrix which places our new criteria into context with existing criteria. This has three dimensions: (i) the type of persuasion, (ii) the person being persuaded and (iii) the type of evaluation.
TRANSIENCY, FLY-IN-FLY-OUT WORKERS, AND SUSTAINABILITY: PERCEPTIONS FROM WITHIN A RESOURCE-BASED COMMUNITY

The dynamics of the modern workforce required for large industrial development has changed over the last several decades. More specifically, many companies based in oil and gas extraction are opting to adopt a fly-in-fly-out (FIFO) workforce model, in particular those based on the extraction and production of oil and gas, in an attempt to minimize infrastructure costs and alter the cyclic boom/bust nature associated with resource extraction. Employing semi-structured interviews with key informants from Fort McMurray, Alberta, perhaps the most notorious resource-based community in Canadian history, this paper details how residents perceive the FIFO workers and what impacts this new employment strategy may have on their community. The primary findings indicate that while it is necessary to have access a large workforce, the use of FIFO workers negatively impacts the local community in several ways. First, the use of FIFO workers not only reduces the interaction that employees have with the nearby community, but alters their perception of that community. Second, FIFO workers access local infrastructure (e.g. healthcare) but do not support further development through taxes and discretionary income. Third, the transiency of FIFO workers affects place-attachment and long-term sustainability of the region. This research contributes to existing literature on resourcebased communities, sustainable urban development, and FIFO employment through use of a Canadian case-study that illustrates local experiences of the impacts of a relatively new employment model that has the potential to significantly impact resource-based communities.
No free polluting anymore: The impact of a vehicle pollution charge on air quality

The paper analyzes the impact of a vehicle pollution charge (Ecopass), enforced at peak time, on nitrogen oxides concentration in Milan. Using hourly data on pollution concentration and a vector auto regressive model, I estimate the short and long run effects of the policy, the effects outside the Ecopass area and during off-peak time. Results suggest that Ecopass reduced pollution in the short run, but had no effect in the long run. The effect on zones outside Ecopass area is not homogeneous, suggesting substitution effects in some areas of the city. There is no systematic evidence of increased pollution levels during off-peak time due to Ecopass.
Acute Toxicity of Methanolic Extract of Anabasis articulata Stems

Background: The LD50 value, defined as the statistically derivative dose that, when given in an acute toxicity test, is predictable to cause death in 50% of the treated animals in a specified period, is presently the basis for toxicological classification of chemicals.Anabasis articulata also called Ajrem, broadly distributed in the desert of Iraq and widely used for treatment of eczema, fever, kidney infections and diabetes. Objective: to investigate the acute toxicity of methanolic extract of Anabasis articulata stems. Subjects and methods: safety of methanolic extract that displayed potential antiangiogenic activity was tested against two species of animals: rats and mice. Swiss albino mice were used to evaluate the toxicity of the methanolic extract of Anabasis articulata. Animals were orally feed with serial doses of the extract between 2.5 to 30.0 g/kg body weight and detected continuously for the first 4 h and then every hourfor the next 24 h, then 6 hourly for 48 h (72 h, acute toxicity) , after two weeks the results were collected. In addition to above rats were also fed with 5000mg/kg of extract. Subsequent oral administration of Anabasis articulata methanolic extract the toxicity in the animals was done by evaluating the effects of herb on body weight, biochemical parameters, and histopathological investigation ofintestine, liver, lung, spleen, heart, stomach, testisand kidney. Results: The average acute toxicity value (LD50) of Anabasis articulata stemsmethanolic extract was found to be 26.18 g/kg body weight. The extract reduced glucose level significantly, the remaining biochemical findingsdisplay no significant different in comparison to control. Body weight was detected in totally of the groups that treated with the extract. No significant changes in the body weight happen throughout the study, and no important alteration in histopathological study. Conclusion: The LD50 value indicated the drug to be fairly safe in single dose treatment. The study also presented the extract had worthyhypoglycemiceffects.
Wireless Sensor Networks: Standards and Driving Forces

The paper will provide a state-of-the-art report of Wireless Sensor Networking technologies, including ZigBee, WirelessHART, LowPower Bluetooth and others. The main advantages and drawbacks of these technologies will be described, focusing on application-driven requirements. Special focus will be put on standardization activities in the areas of WSN design itself, as well as domain-specific WSN-related standards (Energy, Industry, Healthcare and Environmental). A review of application frameworks will also be provided, including OS-level platforms (TinyOS, Contiki OS).
Quantitative assessment of hyaline cartilage elasticity during optical clearing using optical coherence elastography

We report the first study on using optical coherence elastography (OCE) to quantitatively monitor the elasticity change of the hyaline cartilage during the optical clearing administrated by glucose solution. The measurement of the elasticity is verified using uniaxial compression test, demonstrating the feasibility of using OCE to quantify the Young’s modulus of the cartilage tissue. As the results, we found that the stiffness of the hyaline cartilage increases during the optical clearing of the tissue. This study might be potentially useful for the early detection of osteoarthritis disease.
Fault-Tolerant Routing Algorithms for Hypercube Interconnection Networks

SUMMARY Many researchers have used hypercube interconnection networks for their good properties to construct many parallel processing systems. However, as the number of processors increases, the probability of occurrences of faulty nodes also increases. Hence, for hypercube interconnection networks which have faulty nodes, several efficient dynamic routing algorithms have been proposed which allow each node to hold status information of its neighbor nodes. In this paper, we propose an improved version of the algorithm proposed by Chiu and Wu by introducing the notion of full reachability. A fully reachable node is a node that can reach all nonfaulty nodes which have Hamming distance l from the node via paths of length l. In addition, we further improve the algorithm by classifying the possibilities of detours with respect to each Hamming distance between current and target nodes. We propose an initialization procedure which makes use of an equivalent condition to perform this classification efficiently. Moreover, we conduct a simulation to measure the improvement ratio and to compare our algorithms with others. The simulation results show that the algorithms are effective when they are applied to low-dimensional hypercube interconnec
An Empirical Study of Human-Capital as a Mediator on the Relationship between Strategic Leadership Styles and Sustainable Competitive Advantage in Iraqi Private Universities

The purpose of this research is to examine the relationship between the Strategic Leadership styles and Sustainable Competitive Advantage via the mediating role of Human Capital as a vital matter in the Iraqi private Universities. The suggested model design of Strategic Leadership styles as an independent variable and Sustainable Competitive Advantage as the dependent variable, asked the participants of questionnaire response. To determine strategic leadership styles with sustainable competitive advantage in the universities' factor analysis was conducted. In this research, the population was consisted of 22 Universities in Iraq. The participants 254 academic staff members with leadership positions were selected. The respondents are chancellors, Vice chancellors, Deans, Deputy Deans, and Departments heads, Division heads, and Heads of centers. Based on a number of relevant measures of research topic, the hypotheses have been prepared. The data were analyzed statistically using several ranges, and the structural equation model has been used to extract results. The regression analysis results indicate a positive and statistically significant association between Strategic Leadership styles with Sustainable Competitive Advantage. Based on this, the researcher recommends the academic staff member with leadership positions to encourage the use Of Human Capital In Iraqi for expand Universities Knowledge Of Human Capital And Promote Sustainable Competitive Advantage In These Universities.
Phytochemistry, pharmacology and toxicology properties of Strobilanthes crispus.

Strobilanthes crispus (S. crispus) is an herbal medicine plant which is native to countries from Madagascar to Indonesia. The plants contained high amount of mineral content and vitamin C, B1 and B2. This plant are used in medicinal and to treat a variety of ailments in the various traditional systems of medicine. Phytochemical investigations have revealed that the plant contain polyphenols, flavonoids, catechins, alkaloids, caffeine, tannins, compounds known to possess multiple health beneficial effects. Preclinical studies have shown that the plant possess antioxidant, free radical scavenging, anticancer, antidiabetic, antimicrobial, wound healing and antiulcerogenic activities. This review presents the comprehensive overview of phytochemical constituents, pharmacological and toxicological properties of S. crispus and to provide preliminary information for future research and for commercial exploitation.