Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface-enhanced Raman Scattering (SERS) Substrate of Colloidal Ag Nanoparticles Prepared by Laser Ablation for Ascorbic Acid Detection

Ag nanoparticles were synthesized by laser ablation using an Ag plate in distilled water. This method was performed using a laser with a wavelength of 532 nm and energy of 30 mJ for 60 min. Ag nanoparticles successfully formed, confirmed by the selected area electron diffraction (SAED) which revealed four principal crystal planes of (111), (200), (220) and (311). The size distribution of Ag nanoparticles ranged from 5 to 40 nm, as estimated from electron imaging observed by transmission electron microscope (TEM). Ascorbic acid was used as the analyte to test the characteristics of surface-enhanced Raman scattering (SERS) of colloidal Ag nanoparticles. The concentration of ascorbic acid (1.0, 0.5 and 0.25 wt%) and incubation time (0 and 6 h) were varied to determine the limit of detection and the effect of incubation time. The Raman scattering spectroscopy results showed that the colloidal Ag nanoparticle substrate improved the signals for detection of ascorbic acid.
Interactive comment on “ Estimating the climate significance of halogen-driven ozone loss in the tropical marine troposphere ” by A . Saiz

In this article an analyses of the influence of VSL halocarbons, and reactive iodine and bromine species on tropospheric ozone is provided. In the end the authors assess the radiative impact of the halogen-driven ozone loss. To my knowledge this is the first article trying the quantify radiative impact of VSL halocarbons and reactive iodine and bromine. As the paper is well written and structured, I encourage the publication of this article in ACP after only a few minor revisions.
Analysis of rainfall-induced shallow landslides in Jamne and Jaszcze stream valleys (Polish Carpathians) – preliminary results

Abstract Analysis of rainfall-induced shallow landslides in Jamne and Jaszcze stream valleys (Polish Carpathians) - preliminary results. Preliminary shallow landslide susceptibility mapping of the Jamne and Jaszcze stream valleys, located in the Polish Flysch Carpathians, is presented in the paper. For the purpose of mapping, there were used SINMAP and Iverson’s models integrating infiltration and slope stability calculations. The calibration of the used models parameters, obtained from limited field and laboratory tests, was performed using data from 8-9 July 1997, when as a consequence of a very intense rainfall, 94 shallow landslides were observed on meadows and arable lands. A comparison of the slope stability calculation results and the localisation of the noticed shallow landslides showed satisfactory agreement between localisation of the observed and computed unstable areas. However, it was concluded that better simulation results were obtained using Iverson’s model.
Payload swing control of a tower crane using a neural network–based input shaper

This paper proposes an input shaping technique for efficient payload swing control of a tower crane with cable length variations. Artificial neural network is utilized to design a zero vibration derivative shaper that can be updated according to different cable lengths as the natural frequency and damping ratio of the system changes. Unlike the conventional input shapers that are designed based on a fixed frequency, the proposed technique can predict and update the optimal shaper parameters according to the new cable length and natural frequency. Performance of the proposed technique is evaluated by conducting experiments on a laboratory tower crane with cable length variations and under simultaneous tangential and radial crane motions. The shaper is shown to be robust and provides low payload oscillation with up to 40% variations in the natural frequency. With a 40% decrease in the natural frequency, the superiority of the artificial neural network–zero vibration derivative shaper is confirmed by achieving at least a 50% reduction in the overall and residual payload oscillations when compared to the robust zero vibration derivative and extra insensitive shapers designed based on the average operating frequency. It is envisaged that the proposed shaper can be further utilized for control of tower cranes with more parameter uncertainties.
Next generation sequencing in livestock species-A Review

Technological advances in molecular biology during the last decade have opened up possibilities to rapidly and accurately generate large-scale sequencing data from non-model organisms at an affordable cost. Next generation sequencing (NGS) had led us to a better understanding of genome organization, structure, function and evolution in livestock animals. NGS provides a high resolution view of the DNA/RNA sequence which is a distinct advantage over other methods. NGS is a first step toward understanding the genetic mechanisms of an animal’s functions and its interaction with the environment. It has been utilized widely now to study complex traits in different species. NGS is expected to bring down the overall cost of the animal production, increase the yield, improve the quality of meat and milk, provide better disease resistance and improve reproductive health of livestock. In this paper we review the applications of NGS in livestock animals.
The role of lycopene as antioxidant and anti-inflammatory in protection of oxidative stress induced by metalaxyl

Pesticides are used widely through the world for control agricultural pests and protect public health. Though these chemicals have many profitable purposes, they may also cause negative effects in both humans and animals. These chemicals are extensively used in industry, agriculture, home and gardens for several different purposes including the protection of seed grain during storage and germination[1]. Pesticidescontaminations of the environment have become one of the main problems in the region of Europe, Eastern Mediterranean and Africa, as well as worldwide importance. The presences of these toxic chemicals were recorded in water, air, house dust and in the tissues of non-occupationally exposed people, predominately in the adipose tissue, blood and urine[2]. Many pesticides extend their biological effects basically through electrophilic attack of cellular constituents with simultaneous production of Reactive Oxygen Species (ROS). ROS is a main cellular origin of oxidative stress[3,4]. Metalaxyl is a systemic benzenoid fungicide used in a mix of foliar spray for tropical and subtropical crops, such as a soil treatment for inhibit of soil-borne pathogens, and as a seed treatment to inhibit downy mildews, fungal diseases on cotton, fruits, peanuts, ornamentals and soybeans[1]. It is used in several states worldwide including USA, European nations, Australia and India[5]. The issues causing from metalaxyl originate from their high residual level in agriculture crops predominately cultivated vegetables under greenhouse situation and other components of the environment[6]. Metalaxyl exposure caused abnormal
UvA-DARE ( Digital Academic Repository ) Time-aware online reputation analysis

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
The concentric model of human working memory: A validation study using complex span and updating tasks

Background. Working memory (WM) seems to be central to most forms of high-level cognition. This fact is fueling the growing interest in studying its structure and functional organization. The influential “concentric model” (Oberauer, 2002) suggests that WM contains a processing component and two storage components with different capacity limitations and sensitivity to interference. There is, to date, only limited support for the concentric model in the research literature, and it is limited to a number of specially designed tasks. objective. In the present paper, we attempted to validate the concentric model by testing its major predictions using complex span and updating tasks in a number of experimental paradigms. method. The model predictions were tested with the help of review of data obtained primarily in our own experiments in several research domains, including Sternberg’s additive factors method; factor structure of WM; serial position effects in WM; and WM performance in a sample with episodic long-term memory deficits. Results. Predictions generated by the concentric model were shown to hold in all these domains. In addition, several new properties of WM were identified. In particular, we recently found that WM indeed contains a processing component which functions independent of storage components. In turn, the latter were found to form a storage hierarchy which balances fast access to selected items, with the storing of large amounts of potentially relevant information. Processing and storage in WM were found to be dependent on shared cognitive resources which are dynamically allocated between WM components according to actual task requirements. The implications of these findings for the theory of WM are discussed. conclusion. The concentric model was shown to be valid with respect to standard WM tasks. The concentric model offers promising research perspectives for the study of higherorder cognition, including underlying neurobiological mechanisms.
A noncooperative model of contest network formation

In this paper we study a situation in which agents embedded in a network simultaneously play interrelated bilateral contest games with their neighbors. Spillovers between contests induce complex local and global network effects. We first characterize the equilibrium of the game on a given network. Then we study a network formation model, introducing a novel but intuitive link formation protocol. As links represent negative relationships, link formation is unilateral while link destruction is bilateral. The unique stable network topology is a complete K-partite network with partitions of different sizes. Stable networks exhibit properties that are in line with empirical and theoretical findings from other disciplines.
Poster : The Side Channel Menagerie

Temporal keylogging attacks exploit betweensubject similarities in typing behavior to recognize which keys were pressed based only on key-press timings. However, due to differences in behavior, such an attack may work well for some users and not for others. We examine temporal keylogging performance from the perspective of keystroke biometrics and attempt to establish some preliminary linkages between behavioral biometrics and human-based side channel attacks. I. BACKGROUND AND PROBLEM Temporal keylogging attacks, as introduced by Song et al. [1], attempt to recognize which keys a user typed on a keyboard based only on the key press and release timings. Such an attack may target client/server applications that emit network traffic in response to keyboard events, such as SSH in interactive mode or a web search query box with autocomplete functionality. In both applications, the client responds to keypress events by immediately emitting a burst of network traffic, which, when observed remotely, reveals key-press timings. Keyboard interrupt events may also be detected from within a sandboxed environment [2] or on a multi-user system [3]. Consequently, the ability to recognize which keys were typed based only on event timings is a major threat to user privacy. Such temporal keylogging attacks exploit the similarity with which different people type on a keyboard [4]. The touch typist is generally quicker to press keys that are far apart compared to keys that are close together, a consequence of having to reposition the hand or finger to strike neighboring keys. This inverse scaling between key-distance and key-press latency is common among touch typists [5], enabling general inferences to be made about which keys were pressed based only on the time interval between key-presses. At the same time, between-subject differences in typing behavior enable its use in biometric applications. Keystroke biometrics exploits the differences with which different people type on a keyboard to perform user identification and authentication. It is also well-known that the performance of such a biometric authentication system will vary from user to user. This phenomenon is referred to as the biometric menagerie [6]. For many users (the “sheep”), the system works quite well; some may have difficulty authenticating (the “goats”); others may be vulnerable to impersonation (the “lambs”). Reminiscent of the biometric menagerie, we observe differences in temporal keylogging performance across users; the attack works well for some users (the side channel “lambs”) and not so for others (the side channel “goats”) [4]. It is not yet well understand which users are more or less vulnerable to this kind of human-based side channel attack. This abstract is a first attempt to reconcile these seemingly contradictory applications and develop user-specific criteria for side channel attack performance. We aim to determine whether the biometric “animal types” carry over to a side channel attack and establish some preliminary linkages between behavioral biometrics and side channels targeting human behavior.
Southern California Bight 1998 Regional Monitoring Program: I. Summer Shoreline Microbiology

Recent initiatives to develop regionallnational assessments of beach quality require consolidation of bacteriological data across multiple laboratories. In southern California, 22 laboratories routinely measure bacterial indicators of fecal contamination using several methods. To assess data comparability, each of these labs quantified total colifom, fecal colifom or E. coli, and enterococci density from thirteen common samples. Three sources of variability (among laboratories, among analytical methods and within laboratory) were also quantified and compared. The average difference among methods was less than 6%. The average difference among laboratories was less than 2%. The greatest source ofvariability was among replicateswithinindividual laboratories. Combining data from all laboratories using different methods increased variability by only about 30%over that which would be expected if a single laboratory using a single method generated all of the data.
Flexibility Assessment of Multi-Energy Residential and Commercial Buildings

With the growing concern about decreasing CO 2 emissions, renewable energy sources are being vastly integrated in the energy systems worldwide. This will bring new challenges to the network operators, which will need to find sources of flexibility to cope with the variable-output nature of these technologies. Demand response and multi-energy systems are being widely studied and considered as a promising solution to mitigate possible problems that may occur in the energy systems due to the large-scale integration of renewables. In this work, an optimal model to manage the resources and loads within residential and commercial buildings was developed, considering consumers preferences, electrical network restrictions and CO 2 emissions. The flexibility that these buildings can provide was analyzed and quantified. Additionally, it was shown how this model can be used to solve technical problems in electrical networks, comparing the performance of two scenarios of flexibility provision: flexibility obtained only from electrical loads vs. flexibility obtained from multi-energy loads. It was proved that multi-energy systems bring more options of flexibility, as they can rely on non-electrical resources to supply the same energy needs and thus relieve the electrical network. It was also found that commercial buildings can offer more flexibility during the day, while residential buildings can offer more during the morning and evening. Nonetheless, Multi-Energy System (MES) buildings end up having higher CO 2 emissions due to a higher consumption of natural gas.
Using Facebook to gain health information and support: How attitude, norms, and locus of control predict women's intentions

Abstract Objective As a popular social networking site, Facebook may assist in promoting health behaviours and delivering interventions. However, women rarely use social media for health‐related purposes. This study aimed to identify factors influencing women's intentions to use Facebook to gain health‐related support or information. Method Using an online survey, data were collected from 159 adult females (Mean age = 26.81-years). Two hierarchical regressions were performed (Outcomes: health‐related emotional support‐seeking intentions on Facebook; health‐relatedinformation‐seeking intentions on Facebook). Predictors were age, past information/support‐seeking on Facebook, time spent on Facebook per day (Step 1), health concern, appearance concern (Step 2), health locus of control (LOC; Step 3) and Theory of Planned Behaviour (TPB) variables (Step 4). Results As hypothesised, the TPB constructs significantly predicted intention to use Facebook for health information and support. For information‐seeking intention, TPB variables explained an additional 18.3% of the variance over and above that explained in previous steps of the model. Significant contributors were past information‐seeking, attitude towards seeking health‐related information on Facebook, and subjective norm. For support‐seeking intention, TPB variables explained an additional 20.2% of variance. Significant contributors were attitude towards seeking health‐related support on Facebook, past support‐seeking, and powerful others LOC. Both final models accounted for 56.5% of the variance in information/support‐seeking intentions. Conclusions The TPB constructs effectively predict intentions to seek health information/support on Facebook in women. To increase women's engagement with Facebook for health information and support‐seeking purposes, previous behaviours, attitudes, perceived social pressures, and locus of control warrant consideration.
Mapping Matrix Design and Improved Belief Propagation Decoding Algorithm for Rate-Compatible Modulation

Rate-compatible modulation (RCM) can achieve adaptive transmission in a variable channel environment. However, there are two problems with conventional RCM. Firstly, there is a large number of four rings in the mapping matrix of the conventional RCM, which blocks the delivery of messages in the decoding. Secondly, in the conventional decoding of RCM, the soft information of the last decoding will be discarded when cyclic redundancy check (CRC) is failed, which decreases the performance significantly. In order to address these two problems, in this paper, we propose a new method to construct a mapping matrix without four rings (MMwoFR) and an improved belief propagation (IBP) algorithm for RCM decoding. On the one hand, by using MMwoFR, the constructed matrix is able to prevent the existence of four rings which have much side influence of reliability performance. On the other hand, the IBP is able to make the most use of the soft information in RCM decoding. Simulation results show that using MMwoFR and IBP can bring at least 12% goodput gain for RCM at the high signal-to-noise ratio (SNR) region while maintaining the same performance in the low and moderate SNR regions. Moreover, complexity analysis shows that the new scheme has comparable complexity compared with a conventional RCM.
EdgeCFD: a parallel residual-based variational multiscale code for multiphysics

High fidelity multiphysics simulations are ubiquitous in science and engineering but still face many challenges to run efficiently in today's supercomputers. This work reports advanced technologies present in EdgeCFD, a hybrid parallel variational multiscale multiphysics finite element software capable of running industrial problems involving turbulent incompressible, compressible, free-surface flows, advection-diffusion of multiple scalar fields, fluid-object interaction using an Arbitrary Lagrangian-Eulerian formulation, and, more recently, used to supporting uncertainty quantification. We also show the strategies to support the solution of large scale problems, including in-situ visualisation and how EdgeCFD handles computational steering. Industrial applications in the oil and gas industry are shown to demonstrate EdgeCFD capabilities. We present the analysis of vortex-induced vibration in cylindrical risers with appendages to reduce drag and lift, and the simulation of successive discharges of turbidity currents, a critical process for understanding the formation of oil reservoirs.
Identification of a novel ZmSBEIIb-interacting protein involved in apparent amylose synthesis

Abstract: Inhibition of the maize starch branching enzyme IIb (ZmSBEIIb) significantly alters the amylose content and grain yield in maize. Only a few ZmSBEIIb-interacting proteins involved in the starch branching process have been identified, and the understanding of this mechanism is limited. We report here the successful isolation of an Anoctamin protein, ZmSIP, that binds directly to ZmSBEIIb. In our study, the detection of interaction between ZmSIP and different truncated ZmSBEIIb baits in yeast showed that the full-length ZmSBEIIb is essential for binding. The direct protein–protein interaction could also be found in co-transformed tobacco protoplasts. Moreover, knocking out the ZmSIP gene using the CRISPR/Cas9 system could effectively increase the apparent amylose content but maintain the maize kernel weight. Thus, our results suggest that ZmSIP may be involved in the ZmSBEIIb-mediated amylose synthesis pathway through its physical interaction with ZmSBEIIb.
Real driving emissions : vehicle tests in variable terrain

This paper presents the results of tests conducted in real traffic conditions in a mountainous area, taking into account the natural topography characteristics. The tested vehicle was of SUV type (Sport Utility Vehicle) with gasoline and Diesel engine, complying with emission standard Euro 5. Using the portable system for measurement of harmful substances, measurements of pollution emissions were conducted. The results obtained confirmed the substantial changes in the emission of harmful components of exhaust fumes with the change of the road grade. In all considered cases, it was confirmed that with the increasing route grade, the road emissions of all harmful components of exhaust fumes increase, however this increase varies for different pollutants. The most sensitive for spark ignition engines is emission of particulate matter, which is associated mainly with the compression ignition engines. For small changes of the road grade, the most sensitive seems to be road emission of carbon monoxide, for gasoline engines emission of particulate matter is specific, first, to all diesel engines, increase of the road grade to 10% caused on average twofold increase in the emission of harmful components of exhaust gases.
Nanoforest: Polyaniline Nanotubes Modified with Carbon Nano-Onions as a Nanocomposite Material for Easy-to-Miniaturize High-Performance Solid-State Supercapacitors

This article describes a facile low-cost synthesis of polyaniline nanotube (PANINT)–carbon nano-onion (CNO) composites for solid-state supercapacitors. Scanning electron microscopic (SEM) analyses indicate a uniform and ordered composition for the conducting polymer nanotubes immobilized on a thin gold film. The obtained nanocomposites exhibit a brush-like architecture with a specific capacitance of 946 F g−1 at a scan rate of 1 mV s−1. In addition, the nanocomposites offer high conductivity and a porous and well-developed surface area. The PANINT–CNO nanocomposites were tested as electrodes with high potential and long-term stability for use in easy-to-miniaturize high-performance supercapacitor devices.