bluuebunny/crossref_metadata_2025_split huggingface dataset:
Normalized passivity control for hardware-in-the-loop with contact
Authors: Insam Christina , Peiris L. D. Hashan , Rixen Daniel J. 
Published: March 2021

AbstractMechanical contact occurs in many engineering applications. Contact dynamics can lead to unwanted dynamic phenomena in mechanical systems. Hence, it would be desirable to investigate the influence of contact dynamics on a dynamical system already in the development stage. An appropriate method is Hardware-in-the-loop (HiL) on mechanical level. However, the coupling procedure in HiL is prone to stability problems and previous studies revealed that HiL tests of systems with contact are even more challenging, as the system dynamics change rapidly when contact occurs. Passivity-based control schemes, well-known from teleoperation, have recently been used to stabilize HiL simulations of systems with continuous dynamics. Here, we investigate the applicability of Normalized Passivity Control to HiL tests of a one-dimensional mass-spring-damper system experiencing contact. Experimental results reveal that this kind of passivity control keeps the test stable and also improves the test fidelity. This research is an important first step in using passivity control for stable and safe hybrid simulation of complex systems with contact using HiL approaches.
Political orientation and adherence to social distancing during the COVID-19 pandemic in Italy
Authors: Barbieri Paolo Nicola , Bonini Beatrice 
Published: March 2021

AbstractMany governments have implemented social distancing and lockdown measures to curb the spread of the novel coronavirus (COVID-19). Using province-level geolocation data from Italy, we document that political disbelief can limit government policy effectiveness. Residents in provinces leaning towards extreme right-wing parties show lower rates of compliance with social distancing order. We also find that, during the Italian lockdown, provinces with high protest votes virtually disregarded all social distancing orders. On the contrary, in provinces with higher political support for the current political legislation, we found a higher degree of social distancing compliance. These results are robust to controlling for other factors, including time, geography, local COVID-19 cases and deaths, healthcare hospital beds, and other sociodemographic and economic characteristics. Our research shows that bipartisan support and national responsibility are essential to implement and manage social distancing efficiently. From a broader perspective, our findings suggest that partisan politics and discontent with the political class (i.e., protest voting) might significantly affect human health and the economy.
Recognition and Work in the Platform Economy: a Normative Reconstruction
Authors: Visser Max , Arnold Thomas C. 
Published: March 2021

AbstractThe rise of the platform economy in the past two decades (and neoliberal capitalist expansion and crises more in general), have on the whole negatively affected working conditions, leading to growing concerns about the “human side” of organizations. To address these concerns, the purpose of this paper is to apply Axel Honneth’s recognition theory and method of normative reconstruction to working conditions in the platform economy. The paper concludes that the ways in which platform organizations function constitutes a normative paradox, promising flexibility and autonomy while at the same time creating working conditions that undercut these promises. The paper ends with a critical discussion of Honneth’s approach, possible supplementing ideas and further lines of future research.
Energy-aware very fast decision tree
Authors: García-Martín Eva , Lavesson Niklas , Grahn Håkan , Casalicchio Emiliano , Boeva Veselka 
Published: March 2021

AbstractRecently machine learning researchers are designing algorithms that can run in embedded and mobile devices, which introduces additional constraints compared to traditional algorithm design approaches. One of these constraints is energy consumption, which directly translates to battery capacity for these devices. Streaming algorithms, such as the Very Fast Decision Tree (VFDT), are designed to run in such devices due to their high velocity and low memory requirements. However, they have not been designed with an energy efficiency focus. This paper addresses this challenge by presenting the nmin adaptation method, which reduces the energy consumption of the VFDT algorithm with only minor effects on accuracy. nmin adaptation allows the algorithm to grow faster in those branches where there is more confidence to create a split, and delays the split on the less confident branches. This removes unnecessary computations related to checking for splits but maintains similar levels of accuracy. We have conducted extensive experiments on 29 public datasets, showing that the VFDT with nmin adaptation consumes up to 31% less energy than the original VFDT, and up to 96% less energy than the CVFDT (VFDT adapted for concept drift scenarios), trading off up to 1.7 percent of accuracy.
Characterization and efficient dye discoloration of Algerian diatomite from Ouled Djilali-Mostaganem
Authors: Touina Amal , Chernai Safia , Mansour Bouhameur , Hadjar Hafida , Ouakouak Abdelkader , Hamdi Boualem 
Published: March 2021

AbstractA series of naturally occurring diatomaceous earth samples from Ouled Djilali, Mostaganem (Lower Chelif basin, Algeria northwestern), were investigated, which are characterized by the expansion and evolution during the Messinian age. Four varieties of diatomite were distinguished, characterized, and successfully used to adsorb methylene blue dye in aqueous medium. Several properties and characteristics of diatomite have been outlined using analytical methods such as X-ray fluorescence spectrometry, X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), N2 adsorption–desorption (BET), and scanning electron microscopy (SEM), as well as other complementary analysis tests. Results showed that silica and calcium carbonates were the main constituents of the diatomite samples (ranging between 32.8 and 61.5% for SiO2; and 13.8–25.9% for CaO), with a slight difference in chemical composition between selected samples. Typical for all diatomite samples, the XRD analysis suggests a high mass quantity of amorphous phase (Opal); high content of crystal phase was also registered. FTIR allowed determining the basic characteristic silica bands regarding diatomite samples. While the BET and SEM investigations revealed that the studied diatomite material has a highly porous structure and was very rich in diatoms. The maximum adsorption capacity of methylene blue that was calculated from the Langmuir isotherm model was 116.59 mg/g (for Ouled Djilali: OD05 sample) at 25 °C and pH 7.0. The diatomite from Mostaganemian (Ouled Djilali) deposit may find promising applications as low-cost adsorbent for dyes removal from water.
Recent developments in terrain identification, classification, parameter estimation for the navigation of autonomous robots
Authors: Nampoothiri M. G. Harinarayanan , Vinayakumar B , Sunny Youhan , Antony Rahul 
Published: March 2021

AbstractThe work presents a review on ongoing researches in terrain-related challenges influencing the navigation of Autonomous Robots, specifically Unmanned Ground ones. The paper aims to highlight the recent developments in robot design and advanced computing techniques in terrain identification, classification, parameter estimation, and developing modern control strategies. The objective of our research is to familiarize the gaps and opportunities of the aforementioned areas to the researchers who are passionate to take up research in the field of autonomous robots. The paper brings recent works related to terrain strategies under a single platform focusing on the advancements in planetary rovers, rescue robots, military robots, agricultural robots, etc. Finally, this paper provides a comprehensive analysis of the related works which can bridge the AI techniques and advanced control strategies to improve navigation. The study focuses on various Deep Learning techniques and Fuzzy Logic Systems in detail. The work can be extended to develop new control schemes to improve multiple terrain navigation performance.
Metallic oxide–graphene composites as a catalyst for gas-phase oxidation of benzyl alcohol to benzaldehyde
Authors: Li Ruibing , Cheng Wenjun , Yan Yunong , Shi Ying , Wei Linlin , Yu Sansan , Li Shuangming 
Published: March 2021

AbstractA new catalyst (FAG) composed of Fe, Al, and graphene (G) was prepared for catalyzing the reaction of benzyl alcohol (BA) to benzaldehyde (BD). The catalyst was characterized by XRD, XPS, SEM, and BET analyses. The catalytic performance of FAG for oxidation of BA to BD was studied by comparing with the catalysts ferrous oxide (Fe), ferrous oxide doped with aluminum (FA), and ferrous oxide doped with graphene (FG). The effects of amount of graphene additive, temperature, and ratio of Fe and Al were also studied. The results show that the catalyst FAG has a great specific surface area of 80.40 m2 g−1 and an excellent catalytic performance for the reaction of BA to BD: the conversion of BA and yield of BD significantly increased, and the selectivity of BD reached 87.38%.
Design and performance evaluation of Improved DFACO protocol based on dynamic clustering in VANETs
Authors: Ebadinezhad Sahar 
Published: March 2021

AbstractThis study focuses on Vehicular Ad-hoc Networks (VANETs) stability in an environment that is dynamic which often leads to major challenges in VANETs, such as dynamic topology changes, shortest routing paths and also scalability. One of the best solutions for such challenges is clustering. In this study, we present five novel routing protocols based on Dynamic Flying Ant Colony Optimization (DFACO) algorithm to achieve minimum number of clusters, high accuracy, minimum time and solution cost by selecting the best cluster-head which is obtained from a new mechanism of dynamic metaheuristic-based clustering. In this regard, major improvements are applied on classical DFACO by adjusting the procedure for updating the pheromone and tuning the evaporation rate that has a major role in DFACO. In this research two individual phases of experiments are conducted for performance evaluation of proposed routing protocols. The presented solution is verified and compared to classic Ant Colony Optimization (ACO), DFACO and ACO Based Clustering Algorithm for VANET (CACONET) algorithms in phase one; and compared to clustering algorithms such as Center Position and Mobility CPM), Highest-Degree algorithm (HD), Angle-based Clustering Algorithm (ACA) in phase two through NS-2 and SUMO simulation tools. Simulation results have confirmed the expected behaviour and show that our proposed protocols achieve better node connectivity and cluster stability than the former.
Design of power-efficient CMOS based oscillator circuit with varactor tuning control
Authors: Dwivedi Dileep , Kumar Manoj , Niranjan Vandana 
Published: March 2021

AbstractThis paper presents a low-power, wide tuning range CMOS voltage-controlled oscillator with MCML (MOS current mode logic) differential delay cell. Voltage controlled oscillator (VCO) circuit is designed in TSMC 0.25 μm CMOS process. To achieve the broad frequency range concept of variable capacitance is employed in the proposed VCO circuit. Source/drain tuning voltage (Vtune) and body bias voltage (Vb) of I-MOS varactor are used to achieve variable capacitance at different I-MOS varactor widths (W). The dual control voltage of I-MOS varactor results in a tuning range from 0.528 GHz to 2.014 GHz. VCO's figure of merit (FoM) is 152.13 dBc/Hz with phase noise of −93.77 dBc/Hz at 1 MHz offset from the oscillation frequency. The proposed VCO dissipates maximum power of 3.127 mW.
Expert consensus on the management process of gynecological emergency under the regular epidemic prevention and control of COVID-19
Authors: Wang Hongbo , Zhang Wei , Du Xin , Kuang Yan , Li Xiaomao , Ma Xiaoxin , Xiao Lan , Chen Xiaojun , Zhang Yu , Li Donglin , Zheng Lang , Li Yanhui , Wang Jianliu 
Published: March 2021

AbstractAt present, China is in the stage of the COVID-19 epidemic where regular prevention and control measures are required to contain the spread of disease. Reports of new sporadic cases are still widespread across China and medical personnel remain at high risk of exposure to infection. This is especially the case for medical staff working within emergency departments. Most gynecological emergency cases are complex and a high proportion require emergency surgical treatment. By referring to national regulations and requirements on COVID-19 prevention and control, and by summarizing our experiences in the battle against COVID-19 within Wuhan, this consensus report provides recommendations on the triage, reception, consultation, admission and surgical management of gynecological emergency patients. We also make suggestions for the environmental layout and disinfection and the medical waste management. This consensus aims to optimize the diagnosis and treatment process of gynecological emergency patients and reduce the exposure risk of medical staff within the current context of routine COVID-19 prevention and control.
Global Profiling of the Lysine Crotonylome in Different Pluripotent States
Authors: Lv Yuan , Bu Chen , Meng Jin , Ward Carl , Volpe Giacomo , Hu Jieyi , Jiang Mengling , Guo Lin , Chen Jiekai , Esteban Miguel A. , Bao Xichen , Cheng Zhongyi 
Published: March 2021

Abstract
Pluripotent stem cells (PSCs) can be expanded in vitro in different culture conditions, resulting in a spectrum of cell states with distinct properties. Understanding how PSCs transition from one state to another, ultimately leading to lineage-specific differentiation, is important for developmental biology and regenerative medicine. Although there is significant information regarding gene expression changes controlling these transitions, less is known about post-translational modifications of proteins. Protein crotonylation is a newly discovered post-translational modification where lysine residues are modified with a crotonyl group. Here, we employed affinity purification of crotonylated peptides and liquid chromatography–tandem mass spectrometry (LC–MS/MS) to systematically profile protein crotonylation in mouse PSCs in different states including ground, metastable, and primed states, as well as metastable PSCs undergoing early pluripotency exit. We successfully identified 3628 high-confidence crotonylated sites in 1426 proteins. These crotonylated proteins are enriched for factors involved in functions/processes related to pluripotency such as RNA biogenesis, central carbon metabolism, and proteasome function. Moreover, we found that increasing the cellular levels of crotonyl-coenzyme A (crotonyl-CoA) through crotonic acid treatment promotes proteasome activity in metastable PSCs and delays their differentiation, consistent with previous observations showing that enhanced proteasome activity helps to sustain pluripotency. Our atlas of protein crotonylation will be valuable for further studies of pluripotency regulation and may also provide insights into the role of metabolism in other cell fate transitions.
Microseismicity and Lava Flows Hint at Magmato‐Tectonic Processes Near the Southern Tip of the Fonualei Rift and Spreading Center in the Lau Basin
Authors: Schmid F. , Cremanns M. , Augustin N. , Lange D. , Petersen F. , Kopp H. 
Published: March 2021

AbstractSpreading centers in the proximity of back‐rolling subduction zones constitute an ideal natural laboratory to investigate the interaction of magmatism and tectonism during the early evolution of back‐arc basins. Using 32 days of ocean bottom seismometer data, we located 697 micro‐earthquakes at the southern Fonualei Rift and Spreading Center (S‐FRSC). The majority of epicenters concentrate along the central region of the axial valley, marking the active ridge axis. Only odd events were associated with the prominent faults bounding the axial valley. About 450 events are spatially clustered around 17°42′S and their waveforms show a pronounced similarity. Most of these events are associated with a 138 h lasting earthquake swarm. The tectonic structure of the ridge axis in the S‐FRSC resembles a series of left‐stepping en echelon segments, expressed at the seafloor by numerous volcanic ridges. The recorded earthquake swarm is located at the stepover of two en echelon segments suggesting that the earthquake swarm is mainly tectonically driven. The events directly beneath our seismic network indicate a maximum depth of brittle faulting down to about 14 km below the seafloor. This is within the maximum depth range of brittle faulting at ultraslow mid‐ocean ridges. Since the thickness of the brittle lithosphere is mainly controlled by temperature, our results suggest a sub‐axial thermal structure similar to that of ultraslow mid‐ocean ridges of similar opening rates.
Formation and Evolution of a Freshwater Plume in the Northwestern Tropical Atlantic in February 2020
Authors: Reverdin G. , Olivier L. , Foltz G. R. , Speich S. , Karstensen J. , Horstmann J. , Zhang D. , Laxenaire R. , Carton X. , Branger H. , Carrasco R. , Boutin J. 
Published: March 2021

AbstractIn February 2020, a 120‐km‐wide freshwater plume was documented by satellite and in situ observations near the Demerara Rise (7°N/54°W‐56°W). It was initially stratified in the upper 10 m with a freshwater content of 2–3 m of Amazon water distributed down to 40 m. On February 2nd, ship transects indicate an inhomogeneous shelf structure with a propagating front in its midst, whereas minimum salinity close to 30 pss was observed close to the shelf break on February 5th. The salinity minimum eroded in time but was still observed 13–16 days later with 33.3 pss minimum value up to 400 km from the shelf break. At this time, the mixed layer depth was close to 20 m. The off‐shelf flow lasted 10 days, contributing to a plume area extending over 100,000 km2 and associated with a 0.15 Sv (106 m3 s−1) freshwater transport. The off‐shelf plume was steered northward by a North Brazil Current ring up to 12°N and then extended westward toward the Caribbean Sea. Its occurrence followed 3 days of favorable wind direction closer to the Amazon estuary, which contributed to north‐westward freshwater transport on the shelf. Other such events of freshwater transport in January–March are documented since 2010 in salinity satellite products in 7 out of 10 years, and in 6 of those years, they were preceded by a change in wind direction between the Amazon estuary and the Guianas favoring the north‐westward freshwater transport toward the shelf break.
Impacts of Extreme Air Pollution Meteorology on Air Quality in China
Authors: Yang Jianbo , Shao Min 
Published: March 2021

AbstractExtreme air pollution meteorological events (EAPMEs), such as atmospheric stagnation (AS), heat wave (HW), and temperature inversion, significantly affect regional air quality. In the present study, considerably increased EAPME frequency with clear spatial variations is identified in China from 1960 to 2019. Strong air quality sensitivities to EAPMEs are identified by combing air quality and meteorological observations. We found that HW greatly affects ozone concentration and may enhance the generation of fine particles. AS showed a noticeable but opposite impact on fine particle pollution between northern and southern China owing to the wintertime heating policy. EAPMEs may increase the probability of air pollution for pollution levels greater than 2. For example, the synthetic effects of multiple EAPMEs could increase the probability of summer ozone and winter fine particle pollution in China by factors of up to 5 and 2, respectively. Based on such information, more attention may be needed on the collaborative prediction of extreme meteorological events and air pollution episodes.
Near‐Global Variability of Stratospheric Water Vapor Observed by SAGE III/ISS
Authors: Park Mijeong , Randel William J. , Damadeo Robert P. , Flittner David E. , Davis Sean M. , Rosenlof Karen H. , Livesey Nathaniel , Lambert Alyn , Read William 
Published: March 2021

AbstractThe Stratospheric Aerosol and Gas Experiment III instrument on the International Space Station (SAGE III/ISS) has been making high quality solar occultation measurements of stratospheric water vapor since June 2017. Here we evaluate the large‐scale geophysical variability of the SAGE III/ISS water vapor measurements for the first 3 years of observations (2017–2020) as part of data validation for retrieval version 5.1 (v5.1). Detailed comparisons of SAGE III/ISS v5.1 with the Aura Microwave Limb Sounder (MLS) version 5 retrievals show overall excellent agreement in terms of seasonal mean structure and large‐scale variability. SAGE III/ISS data capture the well‐known seasonal variations in water vapor including the vertically propagating “tape recorder” in the tropics and lower stratospheric maxima linked to the NH summer monsoons. The high vertical resolution (∼2 km) measurements from SAGE III/ISS demonstrate contributions of the monsoons to the wet phase of “tape recorder” during the Northern Hemisphere (NH) summer. Interannual variations over the short data record are also consistent between SAGE III/ISS and MLS in the stratosphere between 16 and 30 km. We furthermore evaluate large‐scale variations in relative humidity (RH) derived from the high vertical resolution SAGE III/ISS water vapor measurements, highlighting the detailed seasonal behavior and links to thermal structure near the tropical tropopause. Spatial distributions of RH at the cold point tropopause (CPT) show a close link between high RH and the minimum CPT temperature in both the NH winter and summer, consistent with temperature control of water vapor near the tropopause.
A Scalable Semi‐Implicit Barotropic Mode Solver for the MPAS‐Ocean
Authors: Kang Hyun‐Gyu , Evans Katherine J. , Petersen Mark R. , Jones Philip W. , Bishnu Siddhartha 
Published: March 2021

AbstractA scalable semi‐implicit barotropic mode solver for the ocean component of the model for prediction across scales has been implemented as a competitor to an existing explicit‐subcycling scheme to allow faster and more stable simulations while not sacrificing accuracy. The semi‐implicit solver adopts the pipelined preconditioned bi‐conjugate gradient stabilization algorithm as an iterative solver in conjunction with the restricted additive Schwarz preconditioner that accelerates the convergence rate of the iterative solver. The preconditioner is constructed from a linearized barotropic system that also reorders the system for optimal performance, while the semi‐implicit solver deals with the fully nonlinear barotropic system that requires reassembly of the coefficient matrix for every time step. Several numerical experiments, from simple one‐dimensional tests to three‐dimensional real‐world tests, demonstrate that the semi‐implicit solver has almost the same accuracy and better parallel scalability compared with the existing scheme while allowing faster and more stable simulations. The semi‐implicit solver accelerates the barotropic mode up to 2.9 times faster than the existing scheme on 16,320 processors, leading to an overall runtime speedup of 1.9.