Miracle-dz/UniFAR-FTUs huggingface dataset:
Disaster Management System using Energy Harvesting Sensor Network Technology: A Research Propos

Disaster management have received much attention recently; this interest comes from the increasing number of disasters all around the world. Monitoring process is the most fundamental aspect that must be considered, recently wireless sensor network become the most popular technology have been used for monitoring. Sensor node life time in wireless sensor network has long become an issue. Node sensor in WSN technology usually is supplied by battery to active the sensor. In this paper will be proposed power harvesting technology to supply energy for node sensor. In this technology, sensor will be activated by energy from solar cell harvesting energy which collected by mini solar cell. Solar cell is chosen because of abundance of this resource in environment. WSN is applied to detect flood, avalanche and weather. Those data sensing will visualize to operator by using HMI application.
se of molecular imprinted nanoparticles as biorecognition element on surface lasmon resonance sensor

In this study, we have prepared lysozyme imprinted poly(ethylene glycol dimethacrylate-Nmethacryloyl-l-histidine methylester) (PEDMAH) nanoparticles and then attached on the surface of surface plasmon resonance (SPR) sensor. Lysozyme imprinted SPR nanosensor was characterized by Fourier transform infrared spectroscopy, atomic force microscopy, and ellipsometry. The nanosensor has an ability to detect lysozyme molecules from both aqueous and natural complex source, chicken egg
Study on Control Strategy of Food Borne Stimulant and Security Administration of Long Distance Runners Food

In order to improve the risk evaluation level of food borne stimulant for long distance runner, food borne stimulant is bad for long distance runner, it is necessary to take measurement to control the food borne stimulant and the corresponding food security system should be constructed for the long distance runner. Firstly, the basic characteristic of food borne stimulant is analyzed. Secondly, the controlling measurements of food borne stimulant are put forward from different aspects. Thirdly, the risk identification of food borne stimulant for long distance runner is studied. Finally, the risk evaluation model of food borne stimulant for long distance runner is constructed.
A Radiation-Resistant Rod-Shaped Bacterium, Deinobacter grandis gen. nov., sp. nov., with Peptidoglycan Containing Ornithine

Four similar strains of gram-negative, red or pink, radiation-resistant, rod-shaped bacteria were isolated from animal feces and freshwater fish. Cell division was a simple type. The deoxyribonucleic acid guanineplus-cytosine (G + C) base ratio was 69 mol%, and menaquinone (MK-8) was found in their respiratory chain. The predominant cellular fatty acids were C15:1 and C16:1. Ornithine was the diamino acid in the peptidoglycan, and the peptidoglycan type of a representative strain was the ornithine-glycine2 (A3β) type. They stained gram negative (by the Hucker modification staining method), and they showed an unusual cell wall structure similar to that of the genus Deinococcus. Their chemotaxonomic features were also very close to those of Deinococcus species. The ribonuclease T1 catalog of 16S ribosomal ribonucleic acid showed a close relationship to those of Deinococcus species. It is proposed that they be named Deinobacter grandis gen. nov., sp. nov.; the designated type strain is KS 0485 (= IAM 13005).
A GEO-ELECTRICAL RESISTIVITY CONCEPTUAL MODEL UPDATE FOR THE MENENGAI GEOTHERMAL SYSTEM

A geo‐electrical conceptual model for the Menengai geothermal prospect is built using magnetotellurics data both of low and high amplitude collected over time. The data is corrected for static shift by use of transient electromagnetic data collected at the same data stations. Data collected previously in the same area using these techniques is also incorporated into the working data base. The entire data set is jointly inverted and cross sections taken along four profiles cutting across the caldera and intersecting major structures in the area. An interpretation of these results show the existence of geothermal indicators within the caldera bounds with a general north‐eastern to south‐western trend and is significantly shallower towards the east
Basic Units for Chinese Opinionated Information Retrieval

This paper presents the results of experiments in which the authors tested different types of features for retrieval of Chinese opinionated texts. We assume that the task of retrieval of opinionated texts (OIR) can be regarded as a subtask of general IR, but with some distinct features. The experiments showed that the best results were obtained from combinating character-based processing, dictionary look up (maximum matching) and a negation check.
Influence of airmass transport events on the variability of surface ozone at Xianggelila Regional Atmosphere Background Station, Southwest China

General Remarks The manuscript describes results of atmospheric measurements obtained at a high-altitude station at the edge of the Tibetan Plateau. Observations in that region are highly relevant, but still sparse, which emphasizes the value of this manuscript. However, there are a few deficiencies the authors should consider addressing before publication in ACP. First of all, the investigations cited refer to work related to mid-latitudes. This is highly welcome, but downward transport in the subtropics is more controlled by the subtropical jet stream. Therefore, the relevant literature must be included. Also, the role of the monsoon in vertical exchange and the position of the jet stream require more details including literature.
Detection of Corrosion Processes in Metallic Samples of Copper by CND Control

When diffusing object is illuminated by a laser, it gives the impression of being covered with a very fine grain structure. This structure commonly is nothing but the result of the interference of random waves from the object. In the early years of the invention of the laser sources, the CND control was considered a birth which severely affects the image resolution. Various studies have been developed to remove. The development of new systems for capturing images CCD coupled with tools image processing techniques has made the CND control most interesting for industrial control real-time and non-destructive. Metrology of photography and optic interferometry are two methods that provide the ability to analyze and determine deformations of structures. The CND technique is the most answered and more particularly the technical of interferometry. This method is simple to implement, follow the evolution of the interference of a speckle fields diffracted by an object and a reference fields. Images are recorded by a CCD camera and digitally processed by computer to generate correlograms from which is extracted the gauging. CND techniques have provided only qualitative measures as correlation fringes. The application process and digital image processing techniques to measure phase yielded quantitative measures. Among the techniques for calculating phase, the phase shift method is the most used because it is the most accurate. This technique is based on a combination of shifted interferograms to extract the phase. It requires a phase modulator for generating phase-shifted interferograms speckle and an algorithm for calculating the phase.
Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings

This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.
Improving New Product Development Using Big Data: A Case Study of an Electronics Company

Big data is becoming more important to the new product development (NPD) efforts of global firms. Although the term of big data is not new, very few studies have investigated how firms can harvest big data to facilitate NPD. The purpose of this article is to present the means by which big data can be used to assist firms in NPD to shorten the time to market, improving customers’ product adoption and reducing costs. This research is based on a two-step approach. First, we identified and analysed three world-leading firms that have successfully integrated big data in supporting their NPD. Then, the observations from the firms were used to determine the principle involved in leveraging big data to reduce product development lead times and costs. Given the exploratory nature of the research objective, a participant-observation case study is adopted in which during a 6-month period a NPD project in a fast moving high-tech industry was investigated. This study provides empirical confirmation for the three principles to big data supported NPD: (a) Autonomy; (b) Connection; and (c) Ecosystem. It is termed the ACE principles which we believe represent a paradigm shift to help firms unlock the power of big data and make NPD faster and less costly. This article provides guideline to firms in harvesting big data to better support their NPD: it allows organisations to launch new products to market as quickly as possible; it helps organisations to determine the weaknesses of the product earlier in the development cycle; it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they do not want; and it identifies and then prioritises customer needs for specific markets.
Between the Herring Gull Larus argentatus and the bulldozer: Black-headed Gull Larus ridibundus feeding sites on a refuse dump

Flock composition and interspecific dominance were studied in Black-headed Gulls and Herring Gulls wintering at an inland refuse dump in Germany. Herring Gulls were the dominant species and forced the much more numerous Black-headed Gulls to forage close to operating bulldozers. This supports the hypothesis that dominance governs the relationship between gulls feeding on refuse dumps and that this relationship is mediated through operating bulldozers favouring the smaller gull species.
Comparative Protein Analysis of Non-salmonid Fish Rhabdoviruses

Summary On the basis of gel precipitation, reactions with rabbit anti-pike fry rhabdovirus sera, a recent virus isolate (V75/94) from pike fry, and the grass carp rhabdovirus were found to be indistinguishable from pike fry rhabdovirus. The proteins of these viruses were compared to those of spring viraemia of carp virus. In ‘rocket’ immunoelectrophoresis the pike fry rhabdoviruses and the grass carp rhabdovirus showed up to 4 lines with homologous antiserum in which the precipitates formed by the G and M proteins were fused. With this antiserum, spring viraemia of carp virus gave only one precipitation are which was formed by the N protein. All the viruses are very similar to vesicular stomatitis virus with respect to the mol. wt. , localization and phosphorylation of structural proteins. In polyacrylamide-SDS slab gels the viruses showed minor differences in the migration of their respective NS proteins.
A Dynamic Analysis of Growth via Acquisition

Firms have a choice: grow through internal investment, or grow through acquisition. While internal growth takes time, an acquisition provides cash flows immediately, as the acquirer benefits from the investments of previous owners. The opportunity to grow internally affects the price of an acquisition as it is a fall-back option for the acquirer should negotiations break down. Thus, internal growth opportunities speed up acquisitions when integration costs are significant or synergies not too great. Because investors do not have full information about the time a firm requires to grow internally, acquirers earn positive returns before announcement of an acquisition, and there are negative stock price reactions to acquisition announcements for a wide range of parameter values. This research provides novel predictions about how pre-announcement price run-up and negative announcement returns relate to high integration costs and low synergies from acquisition, without requiring learning about these variables. The model also predicts that buyer-initiated acquisitions result in more pronounced negative acquirer announcement returns than seller-initiated acquisitions.
Recycling carbon fibre composites

A clear case for carbon fibre recovery and reuse exists on environmental grounds due to the high cost and energy use of virgin fibre production. On a specific energy basis, carbon fibres can be recovered at around 10% of the energy required to manufacture virgin fibres but the scale of the recovery process can make a large difference to overall cost effectiveness. This study will describe the technical and economic challenges associated with the recycling of carbon fibres, the state of the art in recycling technologies and the re-use of fibres in high performance composites.
Plume-SPH 1.0: a three-dimensional, dusty-gas volcanic plume model based on smoothed particle hydrodynamics

Abstract. Plume-SPH provides the first particle-based simulation of volcanic plumes. Smoothed particle hydrodynamics (SPH) has several advantages over currently used mesh-based methods in modeling of multiphase free boundary flows like volcanic plumes. This tool will provide more accurate eruption source terms to users of volcanic ash transport and dispersion models (VATDs), greatly improving volcanic ash forecasts. The accuracy of these terms is crucial for forecasts from VATDs, and the 3-D SPH model presented here will provide better numerical accuracy. As an initial effort to exploit the feasibility and advantages of SPH in volcanic plume modeling, we adopt a relatively simple physics model (3-D dusty-gas dynamic model assuming well-mixed eruption material, dynamic equilibrium and thermodynamic equilibrium between erupted material and air that entrained into the plume, and minimal effect of winds) targeted at capturing the salient features of a volcanic plume. The documented open-source code is easily obtained and extended to incorporate other models of physics of interest to the large community of researchers investigating multiphase free boundary flows of volcanic or other origins. The Plume-SPH code (https://doi.org/10.5281/zenodo. 572819) also incorporates several newly developed techniques in SPH needed to address numerical challenges in simulating multiphase compressible turbulent flow. The code should thus be also of general interest to the much larger community of researchers using and developing SPH-based tools. In particular, the SPH−ε turbulence model is used to capture mixing at unresolved scales. Heat exchange due to turbulence is calculated by a Reynolds analogy, and a corrected SPH is used to handle tensile instability and deficiency of particle distribution near the boundaries. We also developed methodology to impose velocity inlet and pressure outlet boundary conditions, both of which are scarce in traditional implementations of SPH. The core solver of our model is parallelized with the message passing interface (MPI) obtaining good weak and strong scalability using novel techniques for data management using space-filling curves (SFCs), object creation time-based indexing and hash-table-based storage schemes. These techniques are of interest to researchers engaged in developing particles in cell-type methods. The code is first verified by 1-D shock tube tests, then by comparing velocity and concentration distribution along the central axis and on the transverse cross with experimental results of JPUE (jet or plume that is ejected from a nozzle into a uniform environment). Profiles of several integrated variables are compared with those calculated by existing 3-D plume models for an eruption with the same mass eruption rate (MER) estimated for the Mt. Pinatubo eruption of 15 June 1991. Our results are consistent with existing 3-D plume models. Analysis of the plume evolution process demonstrates that this model is able to reproduce the physics of plume development.
Design of Phenyl keto butanoic acid derivatives as Inhibitors against Malate Synthase of M.Tuberculosis based on Docking & MD Simulation Studies

The emergence of multidrug-resistant strains of Mycobacterium tuberculosis (Mtb) has intensified efforts to discover novel drugs for tuberculosis (TB) treatment. Targeting the persistent state of Mtb, a condition in which Mtb is resistant to conventional drug therapies, is of particular interest. Persistent bacterial population relies on metabolic pathways that become active in low nutrient environment like glyoxylate shunt. Since the glyoxylate shunt enzymes are not present in mammals, they make attractive drug targets. This study is focused on malate synthase (MS), one of the enzymes in the glyoxylate shunt. Computational approach was used to identify potential inhibitors of MS. Crystal structure of MS (PDB ID-1N8I) in complex with inhibitor was used to rationally design better MS inhibitors. PKBA is identified to be potent inhibitor of malate synthase enzyme. 30 molecules were designed based on malate (product of Malate Synthase) and Phenyl keto butanoic acid (PKBA) backbone. All molecules were screened based on the lowest energy with repeated conformation of ligands, and passed through ADME/tox filters to sort out the toxic compounds. Molecular docking of all designed molecules with the receptor protein (malate synthase) was performed. The binding energy and inhibitory concentration was observed. On the basis of this study, the best molecule having the lowest binding energy and inhibitory concentration was identified. The best molecule identified was further evaluated by molecular dynamics simulation of protein-ligand complex in water solvent model. The rmsd close to 2 A◦ shows the stability of the complex. Inhibitors against MS have been identified and characterized for further development into potential novel anti-tubercular drugs.
From Icon of Empire to National Emblem: New Evidence for the Fallow Deer of Barbuda

ABSTRACT Barbuda and Antigua’s national animal is the fallow deer, Dama dama dama, a species native to the eastern Mediterranean that has been transported around the world by people during the last 8000 years. The timing and circumstances by which fallow deer came to be established on Barbuda are currently uncertain but, by examining documentary, osteological and genetic evidence, this paper will consider the validity of existing theories. It will review the dynamics of human–Dama relationships from the 1500s AD to the present day and consider how the meaning attached to this species has changed through time: from a symbol of colonial authority and dominance, to a ‘walking larder’ after the slave emancipation of 1834, and now an important part of the island’s economy and cultural heritage that requires careful management.
Closing the Energy Balance using a Canopy Heat Capacity n Aphysically based Approach for the Land Component JSBACHv3.11

Land surface-atmosphere interaction is one of the most important characteristic for understanding the terrestrial climate system, as it determines the exchange fluxes of energy and water between the land and the overlying air mass. In several current climate models, it is common practice to use an unphysical approach to close the surface energy balance within the uppermost soil layer with finite thickness and heat capacity. In this study, a different approach is investigated by means of a physical based estimation of the canopy heat capacity (SkIn). 5 Therefore, in a first step, results of an offline simulation of the land component JSBACH of the MPI-ESM – constrained with atmospheric observations – are compared to energyand water fluxes derived from eddy covariance measurements observed at the CASES-99 field experiment in Kansas where only shallow vegetation prevails. This comparison of energy and evapotranspiration fluxes with observations at the site-level provides an assessment of the model’s capacity to correctly reproduce the coupling between the land and the atmosphere throughout the diurnal cycle. In a further step, a global coupled land-atmosphere 10 experiment is performed using an AMIP type simulation over thirty years to evaluate the regional impact of the SkIn scheme on longer time scale, in particular, in respect to the effect of the canopy heat capacity. The results of the offline experiment show that SkIn leads to a warming during the day and to a cooling in the night relative to the old reference scheme, thereby improving the performance in the representation of the modeled surface fluxes on diurnal time scales. In particular: nocturnal heat releases unrealistically destroying the stable boundary layer disappear and phase 15 errors are removed. On the global scale, for regions with no or low vegetation and a pronounced diurnal cycle, the nocturnal cooling prevails due to the fact that stable conditions at night maintain the delayed response in temperature, whereas the daytime turbulent exchange amplifies it. For the tropics and boreal forests as well as high latitudes, the scheme tends to warm the system.
Intent Flow Analysis of Android Applications

This work is focused on the implementation of an intent analysis, integrated into the Julia static analyzer, to discover intent flows inside Android applications. An intent is a message that can be sent inside or outside the application, passing through various components, and finally reach a destination. Our analysis warns when an intent carries sensitive information, or even worse, when tainted information are retrieved from it. It tracks intent flows, from the starting point in any component of the application, and exploit Julia’s flow analysis in order to know about the taintedness of the information carried around. This tool is first tested on a well-known open tests suite (DroidBench), widely used to evaluate the effectiveness of taint-analysis tools for any Android application, and it is finally tested over a real world open source application (Telegram), where two dangerous flows of sensitive data towards an email service application are discovered.