Miracle-dz/UniFAR-FTUs huggingface dataset:
INSIGHTS INTO STOICHIOMETRY OF ARGININE MODIFICATION BY PHENYLGLYOXAL AND 1,2-CYCLOHEXANEDIONE PROBED BY LC-ESI-MS

Several arginine modification studies on enzymes have mostly been done by phenylglyoxal (PG) or 1,2-cyclohexanedione (CHD) as the modifying reagents. It has been found that one molecule or two molecules of PG or one CHD molecule covalently modify sidechain guanidine of arginine of the enzymes. To seek clearer insights into stoichiometry of this reaction, herein, we decided to investigate some model amino acids that include L-arginine (L-Arg) and two model peptides (an octapeptide and a 30 amino acids long peptide). Reactions were conducted at room temperature (RT: ~25 ° C), involving ‘equimolar concentrations’ of reactants in seven different mediums: five buffers (all at basic pH, 7.4 - 8.4) and two solvents. The two solvents are: (1) water (H 2 O) and (2) mixture of acetonitrile and water (ACN:H 2 O, 1:1, v/v). Progress of every reaction was monitored as a function of time by liquid chromatography - electrospray ionization mass spectrometry (LC-ESI-MS). With PG, L-Arg forms 1:1 adduct ([L-Arg+PG]; m/z 309), 1:2 adduct ([L-Arg+2PG]; m/z 443) and water condensed products of respective 1:1 and 1:2 adducts ( m/z 291 & m/z 425) in all six mediums, except in borate, where only uncondensed 1:1 adduct ([L-Arg+PG]; m/z 309) was observed. However, with CHD, L-Arg yielded 1:1 adduct ( m/z 287), 1:2 adduct ( m/z 399) and corresponding water condensed products (m/z 269 & m/z 381) in borate. Interestingly, in H 2 O and in ACN:H 2 O (1:1) too, L-Arg undergoes modification. This is the first LC-ESI-MS study illustrating modification of LArg by phenylglyoxal and 1,2-cyclohexanedione. Molecular structures are proposed for every observed modified product, depicting stoichiometry and mode of binding by PG or CHD onto guanidine moiety of L-Arg. Keywords : Arginine Modification; Electrospray Ionization-Mass Spectrometry (ESI-MS); Liquid Chromatography- MS (LC-MS); L-Arginine; Peptides and Proteins; Arginyl Enzymes
A Learning Based Optimal Human Robot Collaboration with Linear Temporal Logic Constraints

This paper considers an optimal task allocation problem for human robot collaboration in human robot systems with persistent tasks. Such human robot systems consist of human operators and intelligent robots collaborating with each other to accomplish complex tasks that cannot be done by either part alone. The system objective is to maximize the probability of successfully executing persistent tasks that are formulated as linear temporal logic specifications and minimize the average cost between consecutive visits of a particular proposition. This paper proposes to model the human robot collaboration under a framework with the composition of multiple Markov Decision Process (MDP) with possibly unknown transition probabilities, which characterizes how human cognitive states, such as human trust and fatigue, stochastically change with the robot performance. Under the unknown MDP models, an algorithm is developed to learn the model and obtain an optimal task allocation policy that minimizes the expected average cost for each task cycle and maximizes the probability of satisfying linear temporal logic constraints. Moreover, this paper shows that the difference between the optimal policy based on the learned model and that based on the underlying ground truth model can be bounded by arbitrarily small constant and large confidence level with sufficient samples. The case study of an assembly process demonstrates the effectiveness and benefits of our proposed learning based human robot collaboration.
Resonator-Loaded Broadband Antenna for LTE700/GSM850/GSM900 Base Stations

A resonator-loaded broadband antenna is proposed, which is composed of a resonator-loaded dipole, a balun, a U-shaped strip feed, and a box-shaped reflector. The resonator beside the dipole is adopted for impedance bandwidth enhancement. The higher resonate modes can be moved lower by using a resonator, and wide bandwidth can be achieved by moving this mode close to the main resonating mode of the dipole. A prototype of the proposed antenna is designed, fabricated, and tested. Measured results show that the antenna achieves an impedance bandwidth of 37.5% (0.67–0.98 GHz) for |<inline-formula><tex-math notation="LaTeX">$S$</tex-math></inline-formula><sub> 11</sub>| < –15 dB.
SocialWave: Visual Analysis of Spatio-temporal Diffusion of Information on Social Media

Rapid advancement of social media tremendously facilitates and accelerates the information diffusion among users around the world. How and to what extent will the information on social media achieve widespread diffusion across the world? How can we quantify the interaction between users from different geolocations in the diffusion process? How will the spatial patterns of information diffusion change over time? To address these questions, a dynamic social gravity model (SGM) is proposed to quantify the dynamic spatial interaction behavior among social media users in information diffusion. The dynamic SGM includes three factors that are theoretically significant to the spatial diffusion of information: geographic distance, cultural proximity, and linguistic similarity. Temporal dimension is also taken into account to help detect recency effect, and ground-truth data is integrated into the model to help measure the diffusion power. Furthermore, SocialWave, a visual analytic system, is developed to support both spatial and temporal investigative tasks. SocialWave provides a temporal visualization that allows users to quickly identify the overall temporal diffusion patterns, which reflect the spatial characteristics of the diffusion network. When a meaningful temporal pattern is identified, SocialWave utilizes a new occlusion-free spatial visualization, which integrates a node-link diagram into a circular cartogram for further analysis. Moreover, we propose a set of rich user interactions that enable in-depth, multi-faceted analysis of the diffusion on social media. The effectiveness and efficiency of the mathematical model and visualization system are evaluated with two datasets on social media, namely, Ebola Epidemics and Ferguson Unrest.
Cold-Induced Putative DEAD Box RNA Helicases CshA and CshB Are Essential for Cold Adaptation and Interact with Cold Shock Protein B in Bacillus subtilis

ABSTRACT The nucleic acid binding cold shock proteins (CSPs) and the cold-induced DEAD box RNA helicases have been proposed separately to act as RNA chaperones, but no experimental evidence has been reported on a direct cooperation. To investigate the possible interaction of the putative RNA helicases CshA and CshB and the CSPs from Bacillus subtilis during cold shock, we performed genetic as well as fluorescence resonance energy transfer (FRET) experiments. Both cshA and cshB genes could be deleted only in the presence of a cshB copy in trans, showing that the presence of one csh gene is essential for viability. The combined gene deletion of cshB and cspD resulted in a cold-sensitive phenotype that was not observed for either helicase or csp single mutants. In addition to the colocalization of the putative helicases CshA and CshB with CspB and the ribosomes in areas surrounding the nucleoid, we detected a strong FRET interaction in vivo between CshB and CspB that depended on active transcription. In contrast, a FRET interaction was not observed for CshB and the ribosomal protein L1. Therefore, we propose a model in which the putative cold-induced helicases and the CSPs work in conjunction to rescue misfolded mRNA molecules and maintain proper initiation of translation at low temperatures in B. subtilis.
The automatic stitching for underwater close-range images from ROV

In this paper, A method giving consideration to both acquiring interrelated clear underwater-image and realizing fully automatic stitching for that is proposed. The rapidity and precision of stitching for multi-image, especially the underwater-image is influenced by the low resolution and fuzzy target etc. In allusion to influencing factors, a new and reliable approach effective in above two problems is developed. The underwater close-range images are captured from the camera carried on a novel ROV. Considering the changing of angle and lighting conditions etc in underwater, an approach using invariant features, which is insensitive to zoom, orientation and illumination of the input images is used to achieve automatic stitching.
Spread Spectrum Technique to Reduce EMI Emission for an LLC Resonant Converter Using a Hybrid Modulation Method

A spread spectrum technique has been introduced to mitigate electromagnetic interference (EMI) in power converters. However, this technique is difficult to apply to resonant converters that use a pulse frequency modulation (PFM), because the spread spectrum can induce large output voltage fluctuations by PFM's switching frequency variations. In this letter, a hybrid control method using the PFM and phase shift modulation is proposed to obtain tight output voltage regulation under the spread spectrum operation of an LLC resonant converter. The performance of the proposed hybrid control method is experimentally verified using a 500 W prototype LLC resonant converter.
Modulare Kostenschätzung in der chemischen Industrie - Konzept eines integrierten Systems zur Abschätzung und Bewertung des Kapitalbedarfes für die Errichtung einer chemischen Anlage

In this work a modular concept to estimate investment cost of chemical plants based on object-oriented tools was examined. The concept is used in early engineering stages such as prebasic engineering. In the past efficiency increase at the design process was the topic of several research projects. In contrast cost estimation and bid preparation were left unattended. The bid quality greatly in-fluences the economic success of companies. Bids are usually prepared under great time pres-sure and results of commercial tools and conventional methods disappoint in terms of quality and precision. The presented concept is based on a modular engineering approach implemented in an inte-grated engineering system. Modules were developed and defined based on several existing projects. The analyze used functional engineering (PID) and layout design to develop standards and dependences. The defined equipment modules include the main equipment, for instance heat exchanger with the redundancies, if necessary, and the dedicated auxiliary positions. The auxiliary positions are pipework, steelwork, auxiliary equipment and instrumentation. The modu-lar approach was extended to steelwork and pipe bridges of chemical plants. The use of the modular approach towards engineering is based on information of process simulation and proc-ess flow diagrams. The results are standardized PID’s and layouts in three dimensions with the possibility to analyze several layout sketches. The use of established design standards with the modular approach increases the efficiency of the engineering process. Modular methods show a great advantage for cost estimating processes. In early engineering stages the results of the modularisation are PID’s, layout sketches and bill of quantities. The bill of quantities is based on results from equipment and steelwork modules and autorouter’s pipe-lines. Using cost estimation in later engineering stages increases transparency into investment cost and allows the decoupling of equipment and auxiliary cost positions. Cost estimation re-sults could be improved, especially valuable in a highly volatile cost environment. The method was validated with an example chemical plant. Results of the cost estimation were compared to a completed project. The difference between both results was smaller than 10%. Significantly lower than the normal variation in prebasic engineering stages.
60GHz quadrature signal generation with a single phase VCO and polyphase filter in a 0.25μm SiGe BiCMOS technology

This paper describes a single-phase VCO followed by a polyphase filter to generate 60 GHz quadrature signals. The IC is implemented in a SiGe:C-BiCMOS process. A quadrature down-conversion mixer is included for accurate evaluation of I/Q-matching. The RF inputs of the mixers are driven via an on-chip passive power splitter. The VCO exhibits a tuning range between 59.5-61.5 GHz and a phase noise of -92 dBc/Hz at 1 MHz offset from the carrier. The measured I/Q-matching of 28.6 dB corresponds to a phase error of 4.2deg. The power consumption of the IC including the mixers is 150 mW at a supply voltage of 4.5 V and the chip area including bondpads is 1 mm2.
Fabrication of a Novel Electrochemical Nanosensor for Voltammetric Determination of Naproxen

A novel carbon paste electrode modified with NiO/CNTs nanocomposite and an ionic liquid (n-hexyl-3-methylimidazolium hexafluoro phosphate) was fabricated. The electrochemical study of the modified electrode, as well as its efficiency for voltammetric oxidation of naproxen, is described. The electrode was also employed to study the electrochemical oxidation of naproxen, using cyclic voltammetry, chronoamperometry and square wave voltammetry as diagnostic techniques. Square wave voltammetry exhibits a linear dynamic range from 7.5×10−7 to 8.0×10−4 M and a detection limit of 1.2×10−7 M for naproxen. KeywordsNaproxen, NiO/CNTs nanocomposite, Drug analysis, Ionic liquids, Carbon paste electrode
Perceived QoS assessment for Voip networks

As the Internet evolves into a ubiquitous communications, VoIP network becomes more important and popular. It will be expected to meet the quality standards for VoIP networks. The aim of this paper is to undertake a fundamental investigation to quantify the impact of network impairment and speech relates parameters on perceived QoS in VoIP networks. Our contribution is threefold. First, a new VoIP simulation platform is established. The network simulation software is WANem, the voice communication protocol is implemented by OpenPhone. Secondly, we analyze the factors that affect the perceive QoS of VoIP networks. Thirdly, we use the newest NPESQ (New Perceptual Evaluation of Speech Quality) algorithm to assess the perceived QoS value under different IP impairment parameters for VoIP networks.
Rotational Diffusion and Order Parameters of a Liquid Crystalline Polymer Studied by ESR: Molecular Weight Dependence

The microscopic rotational dynamics of a main chain liquid crystalline (LC) poly(ether) in its nematic phase is studied in detail by nonlinear least squares analysis of ESR spectra in the slow motional regime. This complements results reported in an accompanying paper, which focuses on macroscopic translational diffusion using the DID-ESR (dynamic imaging of diffusion by ESR) technique. Far infrared 250 GHz ESR spectroscopy is used to determine the magnetic g and A tensors of the 3-carboxy-PROXYL spin label attached to the LC polymer. ESR spectra of the labeled polymers of varying molecular weights are analyzed to yield the rotational diffusion coefficients and orientational order parameters. Different cases of the degree of macroscopic alignment are observed in these samples and accounted for in the simulations. For molecular weights lower than 11 000 (for both tracers and matrices), the rotational diffusion coefficient R is found to correlate with the molecular weight of the polymer matrix and to be in.
A simple way to improve the relative and absolute reliability of handheld dynamometer measurements using learners

Background: To investigate a simple way to improve the reliability of handheld dynamometer (HHD) measurements using learners.Methods: Maximal voluntary contractions (MVCs) of 21 healthy young adults were tested by 2 HHD learners with the subjects in supine position. The MVCs of the elbow flexor, elbow extensor, hip flexor, and knee extensor were tested bilaterally at two different joint angles. The intraclass correlation coefficients (ICCs) and the smallest real differences (SRD) were used to examine the relative and absolute reliabilities. Bland-Altman analyses were used to assess differences between rater measurements, and paired t-tests were used to check for systematic bias.Results: Reliability was better when the muscle was tested in the weaker position. (E1 < E2 (P < 0.0001), ICCs of E1 (0.78) > E2 (0.76), SRD of E1 (29.7) < E2 (34.6); E3 > E4 (P < 0.0001), ICCs of E3 (0.74) < E4 (0.86), SRD of E3 (38.3) > E4 (25.5); H1 > H2 (P < 0.0001), ICCs of H1 (0.19) < H2 (0.62), SRD of H1 (80.4) > H2 (42.1); K1 < K2 (P = 0.0001), ICCs of K1 (0.22) > K2 (0.06), SRD of K1 (59.0) <K2 (94.5)). Systematic bias existed in one of the testing positions (E4). Conclusions: Changing the joint angle of the limb tested could be a simple way to improve the reliability of handheld dynamometer measurements.
A Model to Prevent Stockouts in Retail using Time Series Sales Forecasting

Stockouts have a huge impact on retailers and customer satisfaction. In recent years, machine learning has proved useful for accurate time series sales forecasting. And accurate forecasts helps retailers make accurate purchasing decisions. But a lot of retailers still rely on an old-fashioned way of forecasting. In this paper a model is proposed that aims to tackle this problem and provide retailers worldwide with a methodology to make time series sales forecasting using machine learning accessible. The proposed model is created and verified based on a case study at a large retailer. All steps needed for a retailer to gain valuable business understanding and make decisions that help to prevent stockouts are discussed, from data exploration, processing to the actual forecasting techniques. The research shows that every article needs to be handled individually to get the optimal results. While the implemented forecasting technique in the case study is more successful in maintaining a healthy inventory level, it is not able to prevent stockouts in all cases. The model could easily be extended with more advanced techniques, making it a valuable tool for retailers worldwide.
3-D comb electrodes for amperometric immuno sensors

An efficient electrochemical biosensor using 3-D comb electrodes was proposed and fabricated by simple micro fabrication technology. The dimensions of the fabricated 3-D electrodes were 10-20 /spl mu/m in width, 10-20 /spl mu/m spacing and 20-30 /spl mu/m in height. The efficiency of the electrochemical reaction in the enzyme immunoassay demonstrated an increase for the 3-D electrodes compared with the 2-D electrodes. The 3-D comb electrodes is applicable for high sensitive enzyme immunoassays.
Performance measures for mass customization strategies in an ETO environment

When following mass customization (MC) principles, manufacturing companies have to consider several aspects. Complexity is thereby seen as a major challenge to be handled. Especially for ETO companies the movement towards MC is much more complex, as products are not standardized, processes are seldom automated and little control over the customer portfolio is obtained. Based on case studies, this research proposes a new way of effectively and efficiently implementing MC strategies. It closely investigates deviations between contribution margins and between pre- and post-calculations of operational measures. The results show the negative impact of high deviations on the corresponding performance
Realization of energy harvesting system using a frequency generator

This paper presents the hardware implementation of a frequency converter and AC/DC step up converter for realising the low voltage energy harvesting. In the simulation part, the input of the AC/DC converter is from an electromagnetic micro generator which converts vibration into electrical energy. The electromagnetic micro generator is being modelled and simulated. But in the hardware implementation, a frequency generator has been designed to generate the output of micro generator. The AC/DC converter is controlled by ARM7 microcontroller. A closed loop control is incorporated.
Deep Learning and Adaptation in e-Learning Systems

In this paper we study the mechanism and application of deep learning techniques in the context of e-Learning in a multi-agent system. We use an underlying multi-agent system to simulate agents’ behaviour and determine the best (perturbed) strategy for reaching equilibrium of the stochastic system. We propose a unifying learning framework to develop and analyse the properties of the equilibrium outcomes for e-Learning multi-agent system, where the agents have clearly defined goals and capabilities. These results potentially have a wider reach to other situations of social interaction often encountered in other domains, for
TruSense: Information Leakage from TrustZone

With the emergence of Internet of Things, mobile devices are generating more network traffic than ever. TrustZone is a hardware-enabled trusted execution environment for ARM processors. While TrustZone is effective in providing the much-needed memory isolation, we observe that it is possible to derive secret information from secure world using the cache contention, due to its high-performance cache sharing design. In this work, we propose TruSense to study the timing-based cache side-channel information leakage of TrustZone. TruSense can be launched from not only the normal world operating system but also a non-privileged user application. Without access to virtual-to-physical address mapping in user applications, we devise a novel method that uses the expected channel statistics to allocate memory for cache probing. We also show how an attacker might use the less accurate performance event interface as a timer. Using the T-table based AES implementation in OpenSSL 1.0. 1f as an example, we demonstrate how a normal world attacker can steal fine-grained secret in the secure world. We also discuss possible mitigations for the information leakage.
Physically Connected Stacked Patch Antenna Design With 100% Bandwidth

Typically, stacked patch antennas are parasitically coupled and provide larger bandwidth (BW) than a single patch antenna. Here, we show a stacked patch antenna design where square patches with semicircular cutouts are physically connected to each other. This arrangement provides 100% BW from 23.9 to 72.2 GHz with consistent high gain (5 dBi or more) across the entire BW. In another variation, a single patch loaded with a superstrate provides 83.5% BW from 25.6 to 62.3 GHz. The mechanism of BW enhancement is explained through electromagnetic simulations. Measured reflection coefficient, radiation patterns, and gain results confirm the extremely wideband performance of the design.
The size–grain hypothesis: do macroarthropods see a fractal world?

Abstract 1. In the size–grain hypothesis (a) long legs allow walking organisms to step over gaps and pores in substrate but prohibit them from entering those gaps; (b) the world is more rugose for small organisms; and (c) the relative cost of long legs increases as organisms grow smaller. The hypothesis predicts a positive allometry of leg length ( = massb where b > 0.33 of isometry), a pattern that robustly holds for ants.
A novel microstrip absorptive bandstop filter

A novel absorptive bandstop microstrip filter utilizing two couplers is presented in this letter. The proposed absorptive bandstop filer (ABSF) with four ports is achieved by combing two quadrature couplers with two conventional microstrip bandstop filters. Unwanted energy within the stopband will be absorbed by absorptive port instead of reflecting to incident port so that the property of absorption could be realized. The theory is analyzed and a microstrip bandstop filter with a center frequency f0 of 5GHz is demonstrated and simulated, the maximal stopband rejection is 38 dB with an input return loss of 31 dB, which implies that almost of the input power is dissipated by the proposed ABSF.