bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Up-to-Date Review on Industrially Significant Inhibitors for Corrosion Control of Zinc
Authors: Pais Mikitha , Rao Padmalatha 
Published: June 2021

AbstractZinc, an important nonferrous metal, is the fourth most used metal in the world. It has innumerable uses in industrial as well as in other segments. The primary utility of zinc is in galvanization and as an anode in the battery. Steel coated with zinc, which is known as galvanized steel, is widely used in industries. Even though zinc protects many metals from undergoing corrosion, by itself, it undergoes corrosion in several acidic, alkaline, and neutral environments. The corrosion behavior of zinc is significant in all industries where it is utilized either directly or indirectly in the form of a sacrificial coating. In-depth analysis of the reported literature indicated that corrosion attenuation of zinc in acidic and alkaline medium was studied by many researchers, and various classes of inhibitors were tried under varying experimental conditions. Most inhibitors can be amalgamated as excellent inhibitors with an inhibition efficiency of 80–90%. Even though this is a subject of intense research, systematic documentation on the same is not available in the literature. This review consolidates research work on corrosion and inhibition studies of zinc and galvanized steel over a period of three decades.
Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data
Authors: Bajaj Karan , Sharma Bhisham , Singh Raman 
Published: June 2021

AbstractThe Internet of Things (IoT) applications and services are increasingly becoming a part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating practically in every domain. Data collected over the IoT applications, mostly through the sensors connected over the devices, and with the increasing demand, it is not possible to process all the data on the devices itself. The data collected by the device sensors are in vast amount and require high-speed computation and processing, which demand advanced resources. Various applications and services that are crucial require meeting multiple performance parameters like time-sensitivity and energy efficiency, computation offloading framework comes into play to meet these performance parameters and extreme computation requirements. Computation or data offloading tasks to nearby devices or the fog or cloud structure can aid in achieving the resource requirements of IoT applications. In this paper, the role of context or situation to perform the offloading is studied and drawn to a conclusion, that to meet the performance requirements of IoT enabled services, context-based offloading can play a crucial role. Some of the existing frameworks EMCO, MobiCOP-IoT, Autonomic Management Framework, CSOS, Fog Computing Framework, based on their novelty and optimum performance are taken for implementation analysis and compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks. Based on the study of drawn results and limitations of the existing frameworks, future directions under offloading scenarios are discussed.
A construction of a conformal Chebyshev chaotic map based authentication protocol for healthcare telemedicine services
Authors: Dharminder Dharminder , Kumar Uddeshaya , Gupta Pratik 
Published: June 2021

AbstractThe outbreak of coronavirus has caused widespread global havoc, and the implementation of lockdown to contain the spread of the virus has caused increased levels of online healthcare services. Upgraded network technology gives birth to a new interface “telecare medicine information systems” in short TMIS. In this system, a user from a remote area and a server located at the hospital can establish a connection to share the necessary information between them. But, it is very clear that all the information is always being transmitted over a public channel. Chaotic map possesses a dynamic structure and it plays a very important role in the construction of a secure and efficient authentication protocols, but they are generally found vulnerable to identity-guess, password-guess, impersonation, and stolen smart-card. We have analyzed (Li et al. in Fut Gen Comput Syst 840:149–159, 2018; Madhusudhan and Nayak Chaitanya in A robust authentication scheme for telecare medical information systems, 2008; Zhang et al in Privacy protection for telecare medicine information systems using a chaotic map-based three-factor authenticated key agreement scheme, 2017; Dharminder and Gupta in Pratik security analysis and application of Chebyshev Chaotic map in the authentication protocols, 2019) and found that Bergamo’s attack (IEEE Trans Circ Syst 52(7):1382–1393, 2005) cannot be resisted by the protocol. Although few of the protocols ensures efficient computations but they cannot ensure an anonymous and secure communication. Therefore, we have proposed a secure and efficient chaotic map based authentication protocol that can be used in telecare medicine information system. This protocol supports verified session keys with only two messages of exchange. Moreover, we have analysed the performance of proposed protocol with relevant protocols and it is being implemented in “Automated Validation of Internet Security Protocols and Applications” respectively.
Iron-Imprinted Single-Atomic Site Catalyst-Based Nanoprobe for Detection of Hydrogen Peroxide in Living Cells
Authors: Lyu Zhaoyuan , Ding Shichao , Wang Maoyu , Pan Xiaoqing , Feng Zhenxing , Tian Hangyu , Zhu Chengzhou , Du Dan , Lin Yuehe 
Published: June 2021

AbstractFe-based single-atomic site catalysts (SASCs), with the natural metalloproteases-like active site structure, have attracted widespread attention in biocatalysis and biosensing. Precisely, controlling the isolated single-atom Fe-N-C active site structure is crucial to improve the SASCs’ performance. In this work, we use a facile ion-imprinting method (IIM) to synthesize isolated Fe-N-C single-atomic site catalysts (IIM-Fe-SASC). With this method, the ion-imprinting process can precisely control ion at the atomic level and form numerous well-defined single-atomic Fe-N-C sites. The IIM-Fe-SASC shows better peroxidase-like activities than that of non-imprinted references. Due to its excellent properties, IIM-Fe-SASC is an ideal nanoprobe used in the colorimetric biosensing of hydrogen peroxide (H2O2). Using IIM-Fe-SASC as the nanoprobe, in situ detection of H2O2 generated from MDA-MB-231 cells has been successfully demonstrated with satisfactory sensitivity and specificity. This work opens a novel and easy route in designing advanced SASC and provides a sensitive tool for intracellular H2O2 detection.
Functional Surfactants for Molecular Fishing, Capsule Creation, and Single-Cell Gene Expression
Authors: Chowdhury Mohammad Suman , Zhang Xingcai , Amini Leila , Dey Pradip , Singh Abhishek Kumar , Faghani Abbas , Schmueck-Henneresse Michael , Haag Rainer 
Published: June 2021

AbstractCreating a single surfactant that is open to manipulation, while maintaining its surface activity, robustness, and compatibility, to expand the landscape of surfactant-dependent assays is extremely challenging. We report an oxidation-responsive precursor with thioethers and multiple 1,2-diols for creating a variety of functional surfactants from one parent surfactant. Using these multifunctional surfactants, we stabilize microfluidics-generated aqueous droplets. The droplets encapsulate different components and immerse in a bioinert oil with distinct interfaces where an azide-bearing surfactant allow fishing of biomolecules from the droplets, aldehyde-bearing surfactant allow fabrication of microcapsules, and hydroxyl-bearing surfactants, with/without oxidized thioethers, allow monitoring of single-cell gene expression. Creating multifunctional surfactants poses opportunities for broad applications, including adsorption, bioanalytics, catalysis, formulations, coatings, and programmable subset of emulsions.
Punishing defectors and rewarding cooperators: Do people discriminate between genders?
Authors: Capraro Valerio , Barcelo Hélène 
Published: June 2021

AbstractDo people discriminate between men and women when they have the option to punish defectors or reward cooperators? Here, we report on four pre-registered experiments that shed some light on this question. Study 1 (N = 544) shows that people do not discriminate between genders when they have the option to punish (reward) defectors (cooperators) in a one-shot prisoner’s dilemma with third-party punishment/reward. Study 2 (N = 253) extends Study 1 to a different method of punishing/rewarding: participants are asked to rate the behaviour of a defector/cooperator on a scale of 1–5 stars. In this case too, we find that people do not discriminate between genders. Study 3a (N = 331) and Study 3b (N = 310) conceptually replicate Study 2 with a slightly different gender manipulation. These latter studies show that, in situations where they do not have specific beliefs about the gender of the defector/cooperator’s partner, neither men nor women discriminate between genders.
Virulence of Rhynchosporium commune isolates collected in Iceland
Authors: Novakazi Fluturë , Göransson Magnus , Stefánsson Tryggvi Sturla , Jalli Marja , Hallsson Jón Hallsteinn 
Published: June 2021

AbstractVarious fungal species continue to be one of the most difficult challenges faced by farmers, and hence societies in whole, when it comes to securing plentiful and wholesome food for a rapidly growing human population. Understanding the biology of pathogenic fungi in detail, both at the population and molecular levels, combined with continued emphasis on resistance breeding of important crops, offers the most obvious sustainable solution to this pressing problem. Here we present results of virulence testing and microsatellite analysis on a collection of Icelandic Rynchosporium commune isolates to test whether the previously demonstrated genetic diversity observed translated into functional diversity in the virulence of these isolates. Our results show considerable diversity in the virulence of the Icelandic R. commune samples with each isolate having a unique virulence spectrum on the 15 near-isogenic barley lines used for screening. Our findings have practical implications, showing that even with short continuous barley cultivation and isolation by geographical distance, breeding for Icelandic, and likely other remote or isolated locations, still needs to consider the importance of disease resistance in breeding decisions and variation in local pathotypes. Moreover, our analysis is the first step to focused breeding for disease resistance for Icelandic conditions, an important step in the ongoing Icelandic barley breeding project.
Multi-channel capsule network ensemble for plant disease detection
Authors: Peker Musa 
Published: June 2021

Abstract
This study presents a new deep learning approach based on capsule networks and ensemble learning for the detection of plant diseases. The developed method is called as multi-channel capsule network ensemble. The main innovation behind the proposed method is the use of multi-channel capsule networks, individually trained on images applied different preprocessing techniques and then combined together. In this way, the final ensemble can better detect plant diseases by making use of different attributes of the data. Our experiments carried out using a well-known data set and various state-of-the-art classification methods demonstrate that our classification approach can provide competitive advantages in terms of classification accuracy.

Article Highlights

An ensemble of capsule networks has been developed for the automated detection of plant diseases with high accuracies.

Better accuracy has been achieved with ensemble learning compared to a single model

With the proposed method, better results have been obtained compared to state-of-the-art classification methods in the literature
Towards Regulatory-Compliant MLOps: Oravizio’s Journey from a Machine Learning Experiment to a Deployed Certified Medical Product
Authors: Granlund Tuomas , Stirbu Vlad , Mikkonen Tommi 
Published: June 2021

AbstractAgile software development embraces change and manifests working software over comprehensive documentation and responding to change over following a plan. The ability to continuously release software has enabled a development approach where experimental features are put to use, and, if they stand the test of real use, they remain in production. Examples of such features include machine learning (ML) models, which are usually pre-trained, but can still evolve in production. However, many domains require more plan-driven approach to avoid hazard to environment and humans, and to mitigate risks in the process. In this paper, we start by presenting continuous software engineering practices in a regulated context, and then apply the results to the emerging practice of MLOps, or continuous delivery of ML features. Furthermore, as a practical contribution, we present a case study regarding Oravizio, first CE-certified medical software for assessing the risks of joint replacement surgeries. Towards the end of the paper, we also reflect the Oravizio experiences to MLOps in regulatory context.
Autonomy for Space Robots: Past, Present, and Future
Authors: Nesnas Issa A.D. , Fesq Lorraine M. , Volpe Richard A. 
Published: June 2021

Abstract
Purpose of Review
The purpose of this review is to highlight space autonomy advances across mission phases, capture the anticipated need for autonomy and associated rationale, assess state of the practice, and share thoughts for future advancements that could lead to a new frontier in space exploration.

Recent Findings
Over the past two decades, several autonomous functions and system-level capabilities have been demonstrated and used in spacecraft operations. In spite of that, spacecraft today remain largely reliant on ground in the loop to assess situations and plan next actions, using pre-scripted command sequences. Advances have been made across mission phases including spacecraft navigation; proximity operations; entry, descent, and landing; surface mobility and manipulation; and data handling. But past successful practices may not be sustainable for future exploration. The ability of ground operators to predict the outcome of their plans seriously diminishes when platforms physically interact with planetary bodies, as has been experienced in two decades of Mars surface operations. This results from uncertainties that arise due to limited knowledge, complex physical interaction with the environment, and limitations of associated models.

Summary
Robotics and autonomy are synergistic, wherein robotics provides flexibility, autonomy exercises it to more effectively and robustly explore unknown worlds. Such capabilities can be substantially advanced by leveraging the rapid growth in SmallSats, the relative accessibility of near-Earth objects, and the recent increase in launch opportunities.
Maternal feeding patterns affect the offspring’s brain: focus on serotonin 5-HT2C and 5-HT2A receptors
Authors: Gawlińska Kinga , Gawliński Dawid , Filip Małgorzata , Przegaliński Edmund 
Published: June 2021

Abstract
Background
Recent studies have shown a relationship between the composition of the maternal diet and acquiring a risk of mental illnesses through changes in the offspring’s brain. This study assessed the role of a modified maternal diet on the levels of serotonin (5-HT)2C and 5-HT2A receptors in the offspring brain.

Methods
Wistar rat dams during gestation and lactation were maintained either on a standard (SD) or special diets: high-fat (HFD), high-carbohydrate (rich in sucrose, HCD) or mixed (MD). Offspring were weaned to SD after lactation, and at postnatal days (PNDs) 28 and 63 changes in the 5-HT2C and 5-HT2A receptor levels were evaluated in their prefrontal cortex (PFCx), nucleus accumbens (NAc), dorsal striatum (DSTR) and hippocampus (HIP).

Results
Maternal HFD reduced the expression of 5-HT2C receptors in male rats at PND 28 in the PFCx, NAc, and DSTR but increased it at PND 63 in male animals in the NAc and DSTR. HCD induced a decrease in the expression of 5-HT2C receptors in male offspring at PND 28 but increased it in female rats at PND 63 in the PFCx. MD reduced 5-HT2C receptor expression in males at PND 28 in the PFCx and increased it in male and female offspring at PND 28 in the HIP. Moreover, maternal HFD reduced 5-HT2A receptor levels within the PFCx in adolescent male offspring.

Conclusion
Our findings indicate that a modified maternal diet induces age- and sex-specific adaptive changes mainly in 5-HT2C receptors, which may contribute to disturbances in the offspring brain.

Graphic abstract
Promoting college and career readiness among underserved adolescents: A mixed methods pilot study
Authors: Gee Kevin A. , Beno Carolynne , Lindstrom Lauren , Lind John , Gau Jeff , Post Cindy 
Published: June 2021

ABSTRACTIntroductionMany underserved adolescents, defined as those with inequitable access to educational resources, face limited access to interventions that develop their college and career know‐how. In our study, we implemented and evaluated a pilot college and career readiness curriculum intervention called Paths to the Future for All (P2F4A). P2F4A takes a developmental approach to college and career development, weaving together the procedural know‐how of college and career planning with a broader focus on building social‐emotional skills that support positive trajectories towards the future. We evaluated pre‐post changes in adolescents’ career‐related and social‐emotional outcomes alongside views of their personal growth.MethodsWe used a purposeful sample of five schools in the Western region of the United States and recruited a sample of adolescents (N = 61; Mage = 16.3 years; 57.4% female) who experienced challenging academic and life circumstances to participate in P2F4A. We conducted pre‐post surveys as well as focus groups and interviews with adolescents.ResultsWe detected significant (p < .05) pre‐post gains in adolescents’ knowledge of P2F4A curricular content and selected coping skills, such as relaxing and solving family problems. Our focus groups and interviews revealed that P2F4A helped adolescents build stronger interpersonal relationships with peers and the content was directly applicable to real life.ConclusionOur new findings suggest that college and career readiness curriculum interventions—if appropriately developed for and targeted to underserved adolescents—have strong potential to build underserved adolescents’ foundational skills that they can apply towards realizing their future college and career aspirations.
Rocket Observation of Sub‐Relativistic Electrons in the Quiet Dayside Auroral Ionosphere
Authors: Namekawa T. , Mitani T. , Asamura K. , Miyoshi Y. , Hosokawa K. , Ogawa Y. , Saito S. , Hori T. , Sugo S. , Kawashima O. , Kasahara S. , Nomura R. , Yagi N. , Fukizawa M. , Sakanoi T. , Saito Y. , Matsuoka A. , Shinohara I. , Fedorenko Y. , Nikitenko A. , Koehler C. 
Published: June 2021

AbstractAn energy spectrum of electrons from 180 to 550 keV precipitating into the dayside polar ionosphere was observed under a geomagnetically quiet condition (AE ≤ 100 nT, Kp = 1‐). The observation was carried out at 73–184 km altitudes by the HEP instrument onboard the RockSat‐XN sounding rocket that has been launched from Andøya, Norway. The observed energy spectrum of precipitating electrons follows a power law of −4.9 ± 0.4 and the electron flux does not vary much over the observation period (∼274.4 s). A nearby ground‐based VLF receiver observation at Lovozero, Russia shows the presence of whistler‐mode wave activities during the rocket observation. A few minutes before the RockSat‐XN observation, POES18/MEPED observed precipitating electrons, which also suggest whistler‐mode chorus wave activities at the location close to the rocket trajectory. A test‐particle simulation for wave‐particle interactions was carried out using the data of the Arase satellite as the initial condition which was located on the duskside. The result of the simulation shows that whistler‐mode waves can resonate with sub‐relativistic electrons at high latitudes. These results suggest that the precipitation observed by RockSat‐XN is likely to be caused by the wave‐particle interactions between whistler‐mode waves and sub‐relativistic electrons.
3D Space‐Time Adaptive Hybrid Simulations of Magnetosheath High‐Speed Jets
Authors: Omelchenko Y. A. , Chen L.‐J. , Ng J. 
Published: June 2021

AbstractWe study the generation and evolution of spatially localized dynamic plasma pressure enhancements in the magnetosheath (high‐speed jets) by carrying out three‐dimensional hybrid simulations of the Earth's dayside magnetosphere with a novel, space‐time adaptive code, HYPERS. High‐speed jets are shown to occur downstream of quasi‐parallel bow shocks under southward and northward quasi‐radial interplanetary magnetic field conditions. The physical properties and three‐dimensional morphology of simulation jets are found to be consistent with general statistical knowledge acquired from the satellite observations. We discuss a “magnetokinetic” mechanism for jet origin whereby the compression of solar wind plasma and its penetration into the magnetosheath is tied to the turbulence‐driven magnetic field perturbations. We compare three‐dimensional jets to dynamic pressure structures observed in two‐dimensional hybrid simulations and demonstrate the impact of large jets on the magnetopause and the cusp.
Global Pc5 Pulsations From the Polar Cap to the Equator: Wave Characteristics, Phase Variations, Disturbance Current System, and Signal Transmission
Authors: Huang Chao‐Song 
Published: June 2021

AbstractWe present observations of global Pc5 pulsations by ∼180 ground magnetometers during the recovery phase of an intense geomagnetic storm. Measurements of magnetic fields along four latitudinal magnetometer chains and one longitudinal magnetometer chain are used to determine the wave characteristics of Pc5 pulsations. Many new features of Pc5 pulsations are identified from a single event for the first time. The Pc5 pulsations occur simultaneously at all latitudes and longitudes/local times, and the period of the Pc5 pulsations is about 10 min and does not depend on latitude and longitude. The latitudinal distributions of the northward (H) component and magnetic pressure of Pc5 perturbations are derived. The phase of the H component reverses across 50–70° magnetic latitude (MLat) but is nearly the same at middle and low latitudes. The phase of the H component at low latitudes does not vary much with longitude/local time. The phase of the D component magnetic field reverses near the equator in the latitudinal direction and also reverses around dawn, noon, dusk, and midnights in the longitudinal direction. The distribution and evolution of global ionospheric equivalent disturbance currents during Pc5 pulsations are derived. A coupled magnetospheric‐ionospheric current system is proposed to explain the observed characteristics of global Pc5 pulsations. It is suggested that the variations of the phase of Pc5 pulsations with latitude and local time are determined by the global distribution of the coupled magnetospheric‐ionospheric current system but not caused by propagation delay of the signals.