bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preserved action recognition in children with autism spectrum disorders: Evidence from an EEG and eye‐tracking study
Authors: Sotoodeh Mohammad Saber , Taheri‐Torbati Hamidreza , Hadjikhani Nouchine , Lassalle Amandine 
Published: December 2020

AbstractIndividuals with Autism Spectrum Disorder (ASD) have difficulties recognizing and understanding others’ actions. The goal of the present study was to determine whether children with and without ASD show differences in the way they process stimuli depicting Biological Motion (BM). Thirty‐two children aged 7–16 (16 ASD and 16 typically developing (TD) controls) participated in two experiments. In the first experiment, electroencephalography (EEG) was used to record low (8‒10 Hz) and high (10‒13 Hz) mu and beta (15‒25 Hz) bands during the observation three different Point Light Displays (PLD) of action. In the second experiment, participants answered to action‐recognition tests and their accuracy and response time were recorded, together with their eye‐movements. There were no group differences in EEG data (first experiment), indicating that children with and without ASD do not differ in their mu suppression (8‒13 Hz) and beta activity (15‒25 Hz). However, behavioral data from second experiment revealed that children with ASD were less accurate and slower than TD children in their responses to an action recognition task. In addition, eye‐tracking data indicated that children with ASD paid less attention to the body compared to the background when watching PLD stimuli. Our results indicate that the more the participants focused on the PLDs, the more they displayed mu suppressions. These results could challenge the results of previous studies that had not controlled for visual attention and found a possible deficit in MNS functions of individuals with ASD. We discuss possible mechanisms and interpretations.
Empowering the Female City Manager to Succeed: What Role Does Mentoring Play in the Personal Development and Preparation of Women for this Leadership Position?
Authors: French P. Edward , Eskridge Robert D. 
Published: December 2020

AbstractHow does mentoring impact the personal work‐related attitudes of female city managers in the United States? Data from a survey of female city managers from cities of 5,000 people or more show that mentoring relationships often have a positive impact on the participant's self‐confidence and preparation for her position in terms of understanding work processes, responsibilities, and relationships. Mentoring is especially important to females who are employed in their first city manager position as survey data indicate that nonmentored female managers perceive more personal challenges with several activities including general administrative duties, developing and managing the budget and policies, and preparing and implementing a strategic plan, as well as a healthy balance of their work and personal life.
Defining Dependence: The Natural Resource Community Typology*
Authors: Mueller J. Tom 
Published: December 2020

AbstractNatural resource dependence, although commonly invoked in natural resource sociology, has often been ambiguously defined. Communities are frequently described as dependent on natural resource development, but limited attention has been paid to what that means. In the literature, resource dependence is often treated as over‐specialization in, or over‐reliance upon, the natural resource sectors. However, the logic of over‐specialization conceptually grounds dependence in poor economic outcomes. Thus, a one‐dimensional typology of dependence based on a threshold of the share of development in the natural resource sector—as commonly used—does not fully capture the concept and risks tautology. In this paper, I address this ambiguity by formally defining natural resource dependence as over‐specialization in the natural resource sectors. I then present an ideal typology, known as the Natural Resource Community Typology, and a corresponding classification scheme for rural communities in the United States. The typology integrates both extractive and non‐extractive natural resource activity and has two dimensions—the level of development and the level of economic prosperity—and six mutually exclusive categories—extractive specialized, extractive dependent, non‐extractive specialized, non‐extractive dependent, hybrid specialized, and hybrid dependent. I classify counties from 2000 to 2015 and find that while extractive dependence decreased over the study period, non‐extractive dependence increased.
Exact analytical solution of a novel modified nonlinear Schrödinger equation: Solitary quantum waves on a lattice
Authors: Luo Jingxi 
Published: December 2020

AbstractA novel modified nonlinear Schrödinger equation is presented. Through a traveling wave ansatz, the equation is solved exactly and analytically. The soliton solution is characterized in terms of waveform and wave speed, and the dependence of these properties upon parameters in the equation is detailed. It is discovered that some parameter settings yield unique waveforms, while others yield degeneracy, with two distinct waveforms per set of parameter values. The uniwaveform and biwaveform regions of parameter space are identified. Finally, the equation is shown to be a model for the propagation of a quantum mechanical exciton, such as an electron, through a collectively‐oscillating plane lattice with which the exciton interacts. The physical implications of the soliton solution are discussed.
The burden of injury in field hockey: A secondary analysis of prospective cohort data
Authors: Rees Huw , McCarthy Persson Ulrik , Delahunt Eamonn , Boreham Colin , Blake Catherine 
Published: December 2020

Most studies report injuries based upon their incidence rate, or the number of injuries which occur in a sport per unit of time. While this is recommended across numerous consensus statements on reporting injury data in sport, it may be of benefit to consider injury burden also. Reporting injuries as the duration of injury per 1000 exposure hours highlights those injuries which will likely cause greater disruption within a team. Therefore, the primary aim of this study was to report the burden of injury in field hockey. This secondary analysis of epidemiological data employed two methods of data collection: self‐reported through an online reporting software, and through contact with the team physiotherapist. Athletes reported injury‐related symptoms for 4170 days in total, giving rise to an injury burden of 121.0/1000 h, of which 61.4/1000 h were days lost through injury. Injuries to the hamstring, as well as muscle strain injuries, caused the most significant injury burden in athletes (22.6 and 35.8/1000 h respectively). Reporting injuries as the duration of injuries per 1000 hours highlights those injuries which cause the most significant disruption within a squad. Future injury prevention strategies in field hockey should prioritize the injuries which are most burdensome.
To dry perchance to live: Insights from the genome of the desiccation‐tolerant biocrust moss Syntrichia caninervis
Authors: Silva Anderson T. , Gao Bei , Fisher Kirsten M. , Mishler Brent D. , Ekwealor Jenna T. B. , Stark Lloyd R. , Li Xiaoshuang , Zhang Daoyuan , Bowker Matthew A. , Brinda John C. , Coe Kirsten K. , Oliver Melvin J. 
Published: December 2020

SummaryWith global climate change, water scarcity threatens whole agro/ecosystems. The desert moss Syntrichia caninervis, an extremophile, offers novel insights into surviving desiccation and heat. The sequenced S. caninervis genome consists of 13 chromosomes containing 16 545 protein‐coding genes and 2666 unplaced scaffolds. Syntenic relationships within the S. caninervis and Physcomitrella patens genomes indicate the S. caninervis genome has undergone a single whole genome duplication event (compared to two for P. patens) and evidence suggests chromosomal or segmental losses in the evolutionary history of S. caninervis. The genome contains a large sex chromosome composed primarily of repetitive sequences with a large number of Copia and Gypsy elements. Orthogroup analyses revealed an expansion of ELIP genes encoding proteins important in photoprotection. The transcriptomic response to desiccation identified four structural clusters of novel genes. The genomic resources established for this extremophile offer new perspectives for understanding the evolution of desiccation tolerance in plants.
Complications of blood donation reported to haemovigilance systems: analysis of eleven years of international surveillance
Authors: Wiersum‐Osselton Johanna C , Politis Constantina , Richardson Clive , Goto Naoko , Grouzi Elisavet , Marano Giuseppe , Land Kevin J 
Published: December 2020

Background and ObjectivesThe International Haemovigilance Network collects aggregate data on complications of blood donation from member haemovigilance systems (HVS). We analysed the data collected in 2006–2016 in order to learn from it and consider future improvements.Materials and MethodsNational HVS entered annual data on donation complications and on annual whole blood and apheresis donations in the ‘ISTARE’ (International Surveillance of Transfusion Adverse Reactions and Events) online database. We calculated national and aggregate donation complication rates.ResultsTwenty‐four HVS provided data for 138 country years (CY; median 7 CY, IQR 2–8), covering 155 M donations. The overall complication rate was 6·3/1000 donations and the median country rate 3·2/1000 (IQR 1·1–10·1). Overall and severe complication rates varied considerably between HVS. Vasovagal reactions (VVR) were most commonly reported: 4·6/1000 donations, median country rate 3·1/1000 donations (IQR 0·6–7·7). Rare complications included generalized allergic reaction (0·10/100 000) and major blood vessel injury (category available since 2015; 0·12/100 000). Eighteen HVS reported complications of whole blood donation (WBD) and apheresis separately (89 CY, 101·6 M WBD and 26·3 M apheresis donations). The median country VVR rate was 3·4/1000 WBD (IQR 1·0–9·1) and 1·5/1000 apheresis donations (1·0–4·2). Rates of venepuncture‐related complications tended to be higher for apheresis: the median country rate of reported haematomas was 0·39/1000 WBD (IQR 0·31–1·2) vs. 4·2/1000 apheresis donations (0·69–5·6).ConclusionInternational reporting allows HVS to study rates of blood donation complications and capture information about very rare events. The present variability of reporting and severity assessment hampers comparisons between HVS and requires further work.
Degradation of tetracycline in aqueous solution by persulphate assisted gas‐liquid dielectric barrier discharge
Authors: Wu Haixia , Fan Jiawei , Liu Feng , Shu Lisha , Yin Baojian 
Published: December 2020

AbstractIn order to promote the decomposition of pollutants, potassium peroxodisulphate (PDS) has been added to a gas‐liquid dielectric barrier discharge (DBD) reactor with rod plate configuration for processing tetracycline (TC) wastewater. The effects of applied voltage, PDS dose, discharge gap, initial pH and TC concentration are discussed. The results show that the addition of PDS can significantly improve the removal efficiency of TC, the kinetic constant and the energy utilization of DBD. Compared with DBD treatment alone, the removal efficiency of TC (80 mg/L) can be increased by 45.5% after adding 0.6 g/L PDS. The TC removal efficiency increases with the increase of applied voltage and the decrease of TC concentration and discharge gap. The PDS dose has an optimal value. Weakly alkaline conditions are conducive to the removal of TC. Inorganic ions (Cl− and
) have a significant effect on removing TC. The overall findings suggest an effective method to remove organic pollutants in wastewater.
Stochastic Response Analysis and Reliability-Based Design Optimization of Nonlinear Electromechanical Energy Harvesters With Fractional Derivative Elements
Authors: Petromichelakis Ioannis , Psaros Apostolos F. , Kougioumtzoglou Ioannis A. 
Published: December 2020

Abstract
A methodology based on the Wiener path integral (WPI) technique is developed for stochastic response determination and reliability-based design optimization of a class of nonlinear electromechanical energy harvesters endowed with fractional derivative elements. In this regard, first, the WPI technique is appropriately adapted and enhanced to account both for the singular diffusion matrix and for the fractional derivative modeling of the capacitance in the coupled electromechanical governing equations. Next, a reliability-based design optimization problem is formulated and solved, in conjunction with the WPI technique, for determining the optimal parameters of the harvester. It is noted that the herein proposed definition of the failure probability constraint is particularly suitable for harvester configurations subject to space limitations. Several numerical examples are included, while comparisons with pertinent Monte Carlo simulation (MCS) data demonstrate the satisfactory performance of the methodology.
Investigation of the Mechanical Integrity of Prismatic Li-Ion Batteries Under Multi-Position Indentation
Authors: Wang Tao , Hu Rufu , Chen Xiaoping , Wu Yaobo , Raleva Katerina , Ji Hongbo , Li Ling , Yuan Quan , Ji Yingping , Liu Yuezhuan , Zheng Weigong 
Published: December 2020

Abstract
Understanding the mechanical, thermal, and electrical properties of prismatic lithium-ion batteries (LIBs) is vital to battery safety design, which is key to electric vehicle safety. This study investigated prismatic LIBs subjected to multiple-position indentation loading. The side face of an intact prismatic LIB cell is divided into 15 compressed sections. Experimental results indicate that indentation loading of all sections could initiate thermal runaway. Among the sections studied, that near the positive terminal shows the highest risk of thermal runaway, whereas that near the top-right corner is relatively safe. Failure mode analysis reveals that short circuits may result from contact between the positive and negative current collectors.
Influence of Carbon Nanoparticles Additives on Nanosilver Joints in LTJT Technology
Authors: Szałapak Jerzy , Kiełbasiński Konrad , Dybowska-Sarapuk Łucja , Krzeminski Jakub , Teodorczyk Marian , Kowaluk Tomasz , Jakubowska Małgorzata 
Published: December 2020

Abstract
Ninety percent of high temperature electronic devices operate in temperatures in the range of 150 to 300 °C, and for such temperature needs, technologies typical for the military range might be adapted. To make it possible, new joining techniques are developed, one of them is use of pastes with silver nanoparticles sintered with low temperature joining technique. Silver sintered joints have three times higher thermal conductivity and five times lower electrical resistivity than typical solders, while being able to operate in temperatures reaching 350 °C. In this paper, the authors show the impact of additions of carbon nanoparticles on joints prepared in low temperature joining technology (LTJT). The authors prove that an addition of few percent of graphene nanoplatelets (GNPs) or carbon nanotubes (CNTs) improves joints mechanical, thermal, and electrical properties, while ensuring proper rheology of pastes.
An Enhanced Semi-Coupled Methodology for the Analysis and Design of Floating Production Systems
Authors: Cruces-Giron Aldo Roberto , Mendez Rodriguez William Steven , Correa Fabrício Nogueira , Jacob Breno Pinheiro 
Published: December 2020

Abstract
This work presents an enhanced hybrid methodology for the analysis and design of floating production systems (FPS). The semi-coupled (S-C) procedure exploits the advantages of coupled and uncoupled models, incorporated into a three-stage sequence of analyses that can be fully automated within a single analysis program, presenting striking reductions of computational costs. The procedure begins by determining, through a full nonlinear static coupled analysis, the mean equilibrium position of the FPS with its mooring lines and risers. Then, it automatically evaluates equivalent six degrees-of-freedom (6DOF) stiffness matrices and force vectors representing the whole array of lines. Finally, these matrices/vectors are transferred to the dynamic analysis, solving the global 6DOF equations of motion restarted from the static equilibrium position. This way, the S-C methodology represents all nonlinear effects associated with the lines and considers their influence on the dynamic behavior of the hull. However, in some situations, it could still overestimate dynamic amplitudes of low-frequency (LF) motions and/or underestimate amplitudes of line tensions. Thus, to improve the overall accuracy, enhanced procedures are incorporated to better represent damping and inertial contribution of the lines. Results of case studies confirm that this methodology provides results adequate for preliminary or intermediary design stages.
Comparative Assessment of Fouling Scenarios in an Axial Flow Compressor
Authors: Templalexis Ioannis , Pachidis Vasilios , Aguirre Hasani Azamar 
Published: December 2020

Abstract
It is commonly accepted that fouling degrades severely axial compressor performance. Deposits build up as operating hours sum up, causing a decrease in the compressor's delivery pressure, efficiency, and flow capacity. Compressor susceptibility to fouling depends on many factors, such as atmospheric conditions, air quality, filtration system, and the size and design of the compressor. The current study identifies four basic operating scenarios which refer to the same compressor, in order to put forward a comparative assessment as to how incoming air quality would affect compressor performance. SOCRATES, an in-house, streamline curvature-based through-flow tool, in conjunction with a detailed, fully customizable fouling empirical model, conceived based on flow physics and relevant experimental data, is used to qualify and quantify compressor degradation with time.
Percutaneous cervical cordotomy for cancer-related pain: prospective multimodal outcomes evaluation
Authors: Doyle Aimee , Sharma Manohar Lal , Gupta Manish , Goebel Andreas , Marley Kate 
Published: December 2020

BackgroundPercutaneous cervical cordotomy (PCC) offers pain relief to patients with unilateral treatment-refractory cancer-related pain. There is insufficient evidence about any effects of this intervention on patients’ quality of life.MethodComprehensive multimodal assessment to determine how PCC affects pain, analgesic intake and quality of life of patients with medically refractory, unilateral cancer-related pain.This study was set in a multidisciplinary, tertiary cancer pain service. Patient outcomes immediately following PCC were prospectively recorded. Patients were also followed up at 4 weeks.ResultsOutcome variables collected included: background and breakthrough pain numerical rating scores before PCC, at discharge and 4 weeks postprocedure; oral morphine equivalent opioid dose changes, Patient’s Global Impression of Change, Eastern Cooperative oncology group performance status and health related quality of life score, that is, EuroQol-5 dimension-5 level (EQ-5D).ConclusionsDespite significant improvement in pain and other standard outcomes sustained at 4 weeks, there was little evidence of improvement in EQ-5D scores. In patients with terminal cancer, improved pain levels following cordotomy for cancer-related pain does not appear to translate into improvements in overall quality of life as assessed with the generic EQ-5D measure.
Deep Learning for EEG Seizure Detection in Preterm Infants
Authors: O’Shea Alison , Ahmed Rehan , Lightbody Gordon , Pavlidis Elena , Lloyd Rhodri , Pisani Francesco , Marnane Willian , Mathieson Sean , Boylan Geraldine , Temko Andriy 
Published: December 2020

EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the preterm group is particularly challenging; trained experts are scarce and the task of interpreting EEG in real-time is arduous. Preterm infants are reported to have a higher incidence of seizures compared to term infants. Preterm EEG morphology differs from that of term infants, which implies that seizure detection algorithms trained on term EEG may not be appropriate. The task of developing preterm specific algorithms becomes extra-challenging given the limited amount of annotated preterm EEG data available. This paper explores novel deep learning (DL) architectures for the task of neonatal seizure detection in preterm infants. The study tests and compares several approaches to address the problem: training on data from full-term infants; training on data from preterm infants; training on age-specific preterm data and transfer learning. The system performance is assessed on a large database of continuous EEG recordings of 575[Formula: see text]h in duration. It is shown that the accuracy of a validated term-trained EEG seizure detection algorithm, based on a support vector machine classifier, when tested on preterm infants falls well short of the performance achieved for full-term infants. An AUC of 88.3% was obtained when tested on preterm EEG as compared to 96.6% obtained when tested on term EEG. When re-trained on preterm EEG, the performance marginally increases to 89.7%. An alternative DL approach shows a more stable trend when tested on the preterm cohort, starting with an AUC of 93.3% for the term-trained algorithm and reaching 95.0% by transfer learning from the term model using available preterm data. The proposed DL approach avoids time-consuming explicit feature engineering and leverages the existence of the term seizure detection model, resulting in accurate predictions with a minimum amount of annotated preterm data.
Theoretical studies of structure, mechanics and electronic structures of four structures for CaSi2 under high pressure
Authors: Guo Ying , Wang Yuze , Xia Dezhu , Li Jun 
Published: December 2020

In this work, detailed DFT calculations of the structural, mechanical and electronic properties of crystalline CaSi2 with four different structures in the pressure range of 0–50 GPa are performed by GGA-PBE. It is found that the Enthalpy differences imply that the R[Formula: see text]m phase [Formula: see text] I41/amd phase [Formula: see text] P6/mmm phase transition in CaSi2 occur at [Formula: see text][Formula: see text]GPa, [Formula: see text][Formula: see text]GPa by using the XC of GGA, which is consistent with previous experiments and theoretical conclusions. Besides, the elastic stability criterion is used to study the change of the elastic constant of CaSi2 under pressures. In particular, the bulk modulus [Formula: see text], shear modulus [Formula: see text], Young’s modulus [Formula: see text], sound velocity [Formula: see text] and brittleness and toughness properties of CaSi2 under pressures are comprehensively studied for the first time. Finally, the changes of the anisotropy factor of CaSi2 are studied under different pressures, and the electronic structure is studied in detail.
Search for rare and lepton-flavor violating decays of the Higgs boson with the ATLAS detector
Authors: Mlynáriková Michaela 
Published: December 2020

The Standard Model predicts several rare Higgs boson decays, which have not yet been observed, but that could be enhanced in theories beyond the Standard Model. Among these are decays to light leptons, e.g. [Formula: see text]. In addition, theories beyond the Standard Model may predict lepton-flavor violating decays of the Higgs boson. Results for these searches based on LHC [Formula: see text] collision data recorded at 13 TeV by the ATLAS experiment will be presented.