Miracle-dz/UniFAR-FTUs huggingface dataset:
Edge Computing Enabled Cognitive Portable Ground Penetrating Radar

With distributed communication, computation, and storage resources close to end users, edge computing has great potentials to support delay-sensitive industrial applications involving intelligent edge devices. Cognitive portable ground penetrating radars (GPRs) are expected to achieve high-quality sensing performance in a variety of industrial environments by operating intelligently and adaptively under varying sensing conditions. Although edge computing makes it very promising to develop cognitive portable GPRs, both strict performance requirement and trade-offs between communication and computation pose signiﬁcant challenges. This paper presents a n edge computing framework for cognitive portable GPRs. Speciﬁcally, the system architecture of an EC-enabled cognitive portable GPR is developed. Based on the iden tiﬁcation of various involved computation tasks, an ofﬂoading policy was proposed to determine whether computation tasks should be executed locally or ofﬂoaded to the edge server. Experimental results show the efﬁcacy of the proposed methods. The framework also provides insight into the design of cognitive Internet of things (IoT) supported by edge computing.
High tropane alkaloid levels in cereal products : Health impairments are possible in individuals with heart problems

Tropane alkaloids (TA) are natural components contained in certain plants such as henbane, thorn-apple and deadly nightshade. To date, a total of more than 200 different TA have been identified in plants. Some of these alkaloids are also used in medicinal products, for example atropine (a mixture containing equal amounts of the isomers (-)-hyoscyamine and (+)hyoscyamine), (-)-hyoscyamine and (-)-scopolamine. These alkaloids are known to affect the heart rate and the central nervous system even at low doses; drowsiness, headaches and nausea are typical symptoms.
A Multi-criterion Active Learning strategy : Application to Emotion Detection in Speech

Résumé : Exploratory activities seem to be crucial for our cognitiv e development. According to psychologists, exploration is an intrin sically rewarding behaviour. The developmental robotics aims to design computa tion l systems that are endowed with such an intrinsic motivation mechanism. Th ere are possible links between developmental robotics and machine learning . Affective computing takes into account emotions in human machine interacti ons for intelligent system design. The main difficulty to implement automatic de tection of emotions in speech is the prohibitive labelling cost of data. Active l earning tries to select the most informative examples to build a training set for a pr edictive model. In this article, the adaptive curiosity framework is used in te rms of active learning terminology, and directly compared with existing algorith ms on an emotion detection problem.
Effects of plastic film mulching on rainfall storage and water use in forage maize fields in the cold and arid areas of Northern China

An experiment was carried out in 2016-2017 at the Zhangbei agricultural resource and ecological environment key field research station, Ministry of Agriculture and Rural Affairs of the P.R. C. in order to explore the way of stable and high yield of forage maize under the unstable time sequence and quantity of precipitation in cold arid area of Northern China. Soil water dynamics, yield and water use efficiency (WUE) in maize field were studied with 4 treatments of Flat cultivation without mulching (CK), Double ridges furrow planting cultivation with film mulching (DM), Flat cultivation with film mulching (FM) and cultivation with film mulching under soil layer (UM). The main aquifers of the meadow chestnut soil in the cold and arid areas of Northern China are 060 cm. The soil water storage during the growth period was significantly affected by precipitation and field water consumption. FM and DM stored the unstable precipitation in time and quantity in soil, thereby promoting water infiltration, accumulation of biomass and WUE in the early growing period of maize, increasing yield by 40.6%-67.2%, increasing WUE by 49.3%-87.5%, and their effect became more obvious in the year of abundant water. UM suppressed soil water evaporation and ensured a stable water supply, and promoted the accumulation of biomass in the mid-term growth of maize. It increased yield of forage maize by 10.6%-71.3%, increased the WUE by 17.1%-79.5%, and the effect was obvious in the dry year. DM and FM can effectively improve the rainfall storage and the WUE of maize in the rain-fed farmland in Northern China, and the UM is more suitable for the high efficiency production of farmland with rich soil water storage.
Practical regularization approach to simultaneous estimation of seismic source wavelet and reflectivity

An alternative least-squares algorithm for simultaneous estimation of the seismic source wavelet and reflectivity, i.e., blind deconvolution, requires a solution of the constrained optimization problem with constraints imposed on both reflectivity and wavelet. Herein, a smoothness constraint on the wavelet in the form of a wavelet base function is proposed. The reason behind such a proposal is that the physical seismic wavelet can be presented as a bandlimited, smooth function. Numerical experiments show that wavelet smoothness constraints can improve the deconvolution robustness when dealing with data contaminated by noise.
Increased Intracellular Hydrogen Peroxide Observed in Escherichia coli in the Presence of Two Classes of Antibiotics

The modes of action of antibiotics on their target cells are well established. It has been shown previously that bactericidal classes of antibiotics stimulate hydroxyl radical production in cells as a result of the oxidative damage cellular pathway, in addition to their specific drug-target interactions; however, the production of reactive oxygen species (ROS) as a general cell death mechanism is a point of contention. This study aimed to investigate the effects of norfloxacin and tobramycin, two classes of bactericidal antibiotics, on growth rates and intracellular H2O2 production of Escherichia coli. Three E. coli strains, BW25113 (the wild type), JW3914-1, and JW1721-1 (∆katG and ∆katE mutants respectively), were exposed to H2O2. Both mutants had a depressed growth rate compared to the wild type, although growth was further reduced in ∆katG , which is consistent with the role of KatG as the main catalase responsible for scavenging H2O2 during log phase growth. When exposed to sub-inhibitory levels of tobramycin and norfloxacin, results indicated that there was no difference between the growth of BW25113 or ∆katG. A reporter system consisting of BW25113 transformed with a plasmid containing katG::luxCDABE was used to establish if norfloxacin and tobramycin indirectly induced the production of H2O2. Luminescence was greater in the presence of tobramycin compared to norfloxacin, although both antibiotics did produce a signal. This experiment therefore supports the hypothesis that bactericidal antibiotics elicit the production of ROS, as indicated by the results of our lux reporter system.
A review of research on three-dimensional reconstruction of capsule endoscope

In view of the unprecedented threat to the human body caused by digestive tract diseases, the emergence of capsule endoscopy technology has solved many problems in the treatment of digestive tract diseases. Based on the basic principle of capsule endoscope, this paper analyzes the main technical means of capsule endoscope, and discusses the advantages, basic composition and the latest research progress at home and abroad. The capsule endoscope is mainly divided into three parts, image detection algorithm, positioning and three-dimensional reconstruction direction. This paper will focus on the latest methods and techniques of 3D reconstruction.
Nash : A Tracing JIT For Extension Language

This paper introduces Nash, a virtual machine (VM) for GNU Guile with tracing just-in-time (JIT) compiler. Nash is designed as a drop-in replacement for Guile’s existing VM. Nash could be used for running script, interacted with REPL, and embedded in other programs. Design of Nash internal is discussed, including VM interpreter which records frequently executed instructions found in Guile’s bytecode, and JIT compiler which emits native code from recorded instructions. Nash coexists with Guile’s existing VM. Lots of Guile’s features, such as bytecode interpreter, are reused in Nash. When conditions were met, Nash runs more than 40× faster than Guile’s existing VM, without modifying the input program. Benchmark results of Nash are shown, including comparisons with other Scheme implementations.
S.IM.PL Serialization: Type System Scopes Encapsulate Cross-Language, Multi-Format Information Binding

S.IM. PL Serialization: Type System Scopes Encapsulate Cross-Language, Multi-Format Information Binding. (December 2011) Nabeel Shahzad, B.S., National University of Computer and Emerging Sciences Chair of Advisory Committee: Dr. Andruid Kerne Representing data outside of and between programs is important in software that stores, shares, and manipulates information. Formats for representing information, varying from human-readable verbose (XML) to light-weight, concise (JSON), and non-human-readable formats (TLV) have been developed and used by applications based on their data and communication requirements. Writing correct programs that produce information represented in these formats is a difficult and time-consuming task, as developers must write repetitive, tedious code to map loosely-typed serialized data to strongly-typed program objects. We developed S.IM. PL Serialization, a cross-language multi-format information binding framework to relieve developers from the burdens associated with the serialization of strongly-typed data structures. We developed type system scopes, a means of encapsulating data types and binding semantics as a cross-language abstract semantics graph. In comparison to representing data binding semantics and information structure through external forms such as schemas, configuration files, and interface description languages, type system scopes can be automatically generated from declarations in a data binding annotation language, facilitating software engineering. Validation is based on use in research applications, a study of how computer science graduate students use the software to develop applications, and performance
1 NETWORK DEVELOPMENT OF LOGISTICS FIRMS Competitive paper

Purpose of the paper and literature addressed: Logistics industry is an important industry and it has been growing constantly due to deregulation, mergers and alliances, and growth of logistics firms. However, little has been written on logistics firms per se. The research purpose of this paper is to describe and analyze how three basic types of logistics firms differ in terms of core competence and network development. This paper presents a conceptual model of the logistics firms focusing on three types of networks, which distinguishes different types of logistics firms.
On the MTI Teaching from the Perspective of AI——Comparing Computer Language with English Language

The rapid development of MAT & MAI under artificial intelligence (AI) has brought new opportunities and challenges to the cultivation of MTI talents. Under the situation of a single foreign language discipline, the MTI talent training model can no longer meet the needs of specialized talents in the rapidly changing new market, so the reform of foreign language education into a comprehensive talent training model combining multiple disciplines is imperative. Under the new situation, the cultivation of translation talents cannot be separated from the fundamental of language, and all kinds of technical translation means under artificial intelligence can only play a subordinate role in this process.
Vegetation-Soil Relationships in Wadi El-Rayan Protected Area , Western Desert , Egypt

The present study provides an analysis of the soil and vegetation composition at 10 sites in Wadi El Rayan Protected Area and concentrates on the environmental factors that affect plant species distribution. A total of 17 vascular plant species belonging to 13 botanical families was recorded. Poaceae, Chenopodiaceae, and Zygophyllaceae were the largest families identified. Chorological analysis revealed that 47% of the studied species are Pluri-regional, 41% are Bi-regional and 12% are Monoregional. The recorded species extend their distribution all over the Saharo-Arabian (33%) followed by IranoTuranian (24%), Mediterranean (22%), Palaeotropical (8%), Sudano-Zambezian (5%), Neotropical (5%), and EuroSiberian (3%). The life-form spectrum revealed that the phanerophytes (35%) and geophytes helophytes (23%) are the most frequent, followed by chamaephytes (18%), therophytes (12%), hemicryptophytes (6%), and helophytes (6%). The dominant species were Phragmites australis, Tamarix nilotica and Zygophyllum album; while the co-dominant species were Juncus rigidus, Nitraria retusa, Alhagi graecorum, Typha domingensis, Zygophyllum coccineum and Eucalyptus camaldulensis. Variation in species diversity among different locations were evident, the Northeast of the Lower Lake(9 species), followed by the Southwest of the Lower Lake and the Northeast of the Upper Lake(6 species each) showed highest species richness, while the Southeast of the Lower Lake showed the lowest recorded species richness (one species). Detrended Correspondence Analysis (DCA) and Canonical Correspondence Analysis (CCA) Ordination techniques were used to examine the relationship between the vegetation and soil parameters; pH, electric conductivity, CaCO3, organic matter and relative concentrations of cations.CCA analysis showed positive correlations of species and sites along the most important ecological gradients. Both ordination techniques clearly indicated the importance of these ecological factors on the distribution of the vegetation pattern in the area.
Wireless Sensor Network Technology and Networking Algorithms for Wireless Sensor Network Applications: A Survey

: Recent advances in the electronics technologies results into revolutionary developments in fields of science and technology. Due to relentless efforts of scientists and technologists the fields such as Embedded Technology, Integration technology, communication technology, smart sensor design technology etc are pervasively growing and evolving innovative fields for research and developments. On confluence of embedded technology and communication technology with computer technology, a novel field called Wireless Sensor Network is emerged. Wireless sensor network provides new paradigm for sensing and disseminating information from various environments with a great potential to serve many and diverse applications. The monitoring of various physical parameters such as temperature, fluid level, relative humidity, intensity of light, concentration of gasses dissolved in the atmosphere, vibrations, strain, soil moisture, industrial process parameters, pH and salinity of water etc plays commendable role in various sectors such as environmental pollution monitoring, high-tech agriculture, structural engineering, chemical and physical industries, transportation, military and defense, healthcare, forestry etc. The WSN is the network of smart sensor nodes, wherein the standard protocols such as Zigbee, Bluetooth, wifi, GSM etc technologies are employed to establish the RF communication. The distributed sensor nodes must be routed in the network to ensure cooperative collection of the data. Different routing protocols have been studied for their suitability to use in the WSN. It is found that, to establish the WSN, different routing protocols have been reported. Therefore, in present paper wireless sensor network technology and networking algorithms used in wireless sensor network for diverse applications are discussed.
08-02 * Momentum Profits and Time-Varying Unsystematic Risk

This study assesses whether the widely documented momentum profits can be attributed to time-varying risk as described by a GJR-GARCH(1,1)-M model. We reveal that momentum profits are a compensation for time-varying unsystematic risks, which are common to the winner and loser stocks but affect the former more than the latter. In addition, we find that, perhaps because losers have a higher propensity than winners to disclose bad news, negative return shocks increase their volatility more than it increases those of the winners. The volatility of the losers is also found to respond to news more slowly, but eventually to a greater extent, than that of the winners.
Unified modeling language class diagram translator for the online design pattern library system

This project, UML Class Diagram Translator (UMLCDT), is a software program designed to work in the Online Design Pattern Library (DPL) system [12], which is an implementation of a tool in Applying Designs And Patterns (ADAP) Project [3] . UMLCDT project is designed to provide a useful tool that helps designers to use design patterns for software design. This project stores all the design patterns from Gamma's book, including Creational Design Patterns, Structural Design Patterns and Behavioral Design Patterns. The pattern structures are written in XML. UMLCDT translates from class diagrams to XML files and vice versa. The server side allows the user to download the structures in XML and browse the UML class diagrams and description of each design patterns. A Graphic User Interface (GUI) was developed to provide better visual and operational convenience for the client side. For novice designers, UMLCDT is a good tool as it helps them get familiar with design patterns and use them for designing their software applications. But its main contribution is providing an XML file, which is a translation of class diagrams. Future directions can
How to increase the effectiveness of AES by knowing farmer perceptions – a choice experiment on pesticide free buffer zones

Danish farmers have been far less interested in agr i-environmental subsidy schemes than anticipated. W e use choice experiments to estimate 486 Danish farme rs’ preferences for a number of policy relevant sch emecharacteristics. Subsidy schemes for pesticide free buffer zones along hedgerows are used as a case. A random parameter logit framework is applied. By qua ntifying farmers’ preferences, we are able to asses the relative importance of individual scheme-characteri stics. Our results indicate that overall contract t erms (length and flexibility) are more important to farm ers than practical management restrictions (choice of buffer zone width, using fertilizer, and reduced ad ministrative burden). As a novelty, the administrat ive burden is captured by estimating how farmers value costless assistance to the actual application. For example, our model estimates indicate that an avera ge f rmer is willing to give up 120 Euros per hecta re per year for changing a 5 year contract to a one year c ontract. However, whether a shorter contract is preferable from a societal point of view still depe nds on the environmental costs of reducing the cont ract
EasyChair Preprint No 1242 Analysis of Three Phase Quasi Switched Boost Inverter Topology for Renewable Energy Applications

A class of single phase quasi Switched Boost Inverter (qSBI) topology is developed for low power Renewable Energy Source (RES) applications. This paper analyzes a three phase Embedded type qSBI (E-qSBI) topology which is capable of boosting and inverting the available dc voltage in a single stage. The operating modes, steady state analysis and PWM (Pulse Width Modulation) control of the boost inverter topology is discussed in detail in this work. The E-qSBI supplying, 100W RL-Load is designed and simulated with MATLAB/Simulink software tool. The Fast Fourier Transform analysis (FFT) of output voltage waveform is carried out and the harmonic profile is presented. The simulation results are presented to show the effectiveness of single stage embedded type qSBI topology. KeywordsSwitched Boost Inverter (SBI), Embedded type quasi Switched Boost Inverter (E-qSBI), simple boost control, shoot-through, Z Source Inverter (ZSI)
Location 2 Vec : Generating Distributed Representation of Location by Using Geotagged Microblog Posts

This paper proposes a method to represent the characteristics of a place (i.e., use of the venue, atmosphere of the area) by using geo-tagged microblog posts around the place. It enables a vector representation of a location similar to the distributed representation of a term in Word2Vec. Our method uses a simple neural network that is trained through the task of estimating the terms that appear in tweets posted from the area. The effectiveness of our method is illustrated through an experiment of a comparison of similar locations in Tokyo and Kyoto.
Optimal Placement of Distributed Generation for Reliability Benefit in Distribution Systems

A distributed generator is a small-scaled active generating unit located <st1:data language="0" startpos="73" context="A distributed generator is a small-scale active generating unit located on or near the site where it is to be used. Several benefits have been realized by installing DGs in the distribution network. Among them is a reduction in the
Structural Collapse in Kaolinite , Montmorrilonite and Illite Clays by 1 Infrared Spectroscopy and its Role in Ceramic Rehydroxylation Dating 2 of Low-Fired Earthenware

15 16 The rehydroxylation dating of ancient pottery estimates the age of ceramic manufacture 17 based upon the total hydroxyl (OH) accumulation since initial firing. The diffusion of 18 OH is impacted by the structural porosity of the ceramic that becomes progressively, or 19 suddenly, closed with increasing temperature as the clay structure collapses. Changes in 20 ceramic mineral structure along the temperature continuum occur at certain thermal set 21 points. Infrared spectroscopic analysis of thermally treated kaolin, illite, and 22 montmorillonite reveals that shifts in the Si-O band correlate with the extent of structural 23 © 2016. This manuscript version is made available under the Elsevier user license http://www.elsevier. com/open-access/userlicense/1.0/ 2 collapse occurring between 600-1000 o C and the degree of structural collapse in 24 prehistoric earthenware ceramics may be estimated using this approach. Accelerated 25 rehydroxylation experiments reveal that the activation energy of rehydroxylation 26 decreases with greater structural collapse and indicates that the rate of rehydroxylation 27 will be faster for ceramics fired at more elevated temperatures. 28 29
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

The dynamic nature of cities, understood as complex systems with a variety of concurring factors, poses significant challenges to urban analysis for supporting planning processes. This particularly applies to large urban events because their characteristics often contradict daily planning routines. Due to the availability of large amounts of data, social media offer the possibility for fine-scale spatial and temporal analysis in this context, especially regarding public emotions related to varied topics. Thus, this article proposes a combined approach for analyzing large sports events considering event days vs comparison days (before or after the event) and different user groups (residents vs visitors), as well as integrating sentiment analysis and topic extraction. Our results based on various analyses of tweets demonstrate that different spatial and temporal patterns can be identified, clearly distinguishing both residents and visitors, along with positive or negative sentiment. Furthermore, we could assign tweets to specific urban events or extract topics related to the transportation infrastructure. Although the results are potentially able to support urban planning processes of large events, the approach still shows some limitations including well-known biases in social media or shortcomings in identifying the user groups and in the topic modeling approach.