bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of stochastic gradient descent in continuous time
Authors: Latz Jonas 
Published: May 2021

AbstractStochastic gradient descent is an optimisation method that combines classical gradient descent with random subsampling within the target functional. In this work, we introduce the stochastic gradient process as a continuous-time representation of stochastic gradient descent. The stochastic gradient process is a dynamical system that is coupled with a continuous-time Markov process living on a finite state space. The dynamical system—a gradient flow—represents the gradient descent part, the process on the finite state space represents the random subsampling. Processes of this type are, for instance, used to model clonal populations in fluctuating environments. After introducing it, we study theoretical properties of the stochastic gradient process: We show that it converges weakly to the gradient flow with respect to the full target function, as the learning rate approaches zero. We give conditions under which the stochastic gradient process with constant learning rate is exponentially ergodic in the Wasserstein sense. Then we study the case, where the learning rate goes to zero sufficiently slowly and the single target functions are strongly convex. In this case, the process converges weakly to the point mass concentrated in the global minimum of the full target function; indicating consistency of the method. We conclude after a discussion of discretisation strategies for the stochastic gradient process and numerical experiments.
Static balance adaptations after neuromuscular electrical stimulation on quadriceps and lumbar paraspinal muscles in healthy elderly
Authors: Bondi Danilo , Jandova Tereza , Verratti Vittore , D’Amico Moreno , Kinel Edyta , D’Attilio Michele , Di Filippo Ester Sara , Fulle Stefania , Pietrangelo Tiziana 
Published: May 2021

Abstract
Background
Strength training as neuromuscular electrical stimulation (NMES) is effective in counteracting age-related postural impairments in elderly. However, it remains unknown whether training different muscle groups would entail in different adaptations.

Aim
To evaluate the effect of NMES training on balance function in healthy inactive elderly, targeting paravertebral muscles, in addition to thigh muscles.

Methods
Eleven healthy elderly were trained with NMES for 8 week allocated to combined training (CT: quadriceps and lumbar paraspinal muscles) or to quadriceps training (QT), after completing lifestyle questionnaire and spine morphology measurements. Functional balance, static stabilometry, and isometric strength tests were assessed before and after the training period.

Results and conclusion
The CT group showed a greater improve in static balance control, i.e., reducing the CEA of the CoP displacement from 99 ± 38 to 76 ± 42 mm2 (Cohen’s d = 0.947). Benefits for improving static balance through CT might be due to NMES training, which increases spinal stabilization.
Emission of typical pollutants (NOX, SO2) in the oxygen combustion process with air in-leakages
Authors: Moroń Wojciech , Ferens Wiesław , Wach Janusz 
Published: May 2021

AbstractOxygen combustion, being an alternative to air combustion, is distinguished in a variety of modern coal management technologies by quick and easy removal of CO2 from the combustion process, which is the key merit of this oxy-fuel technology. The laboratory work conducted so far has not directly addressed the issue of air in-leakages in the oxy-fuel system. The previous studies showed that air in-leakages in the combustion system (both under the air and oxygen regime) occur and affect the combustion process. However, there are no direct research studies on the volume of air in-leakages and their impact on the individual stages of combustion, including the emission of gaseous pollutants. This article focuses on the assessment of the impact of air in-leakages on NOx and SO2 emissions for a single-stage coal-dust combustion system. Moreover, these studies were supplemented with measurements on the rate of devolatilisation of volatile matters and, in particular, on the rate of nitrogen compounds released from fuel. The obtained results of combustion in the oxy-fuel atmosphere with the following air in-leakage levels: 10, 15 and 20% were compared to combustion conditions in the air. Air in-leakages in the oxygen combustion system create an additional flow of oxygen and nitrogen appearing in the combustion area, which affects the course of pollutants and their emission. The conducted studies have shown that when adequate tightness of the combustion system is provided, it contributes to the reduced emission of nitrogen compounds.
Resilience mechanisms at work: The psychological immunity-psychological elasticity (PI-PE) model of psychological resilience
Authors: IJntema Richta C. , Schaufeli Wilmar B. , Burger Yvonne D. 
Published: May 2021

AbstractRecently, scientists have shifted their focus from studying psychological resilience as a single, isolated construct (e.g. attribute or outcome) to studying it as a dynamic process encompassing a number of temporally related elements. Models depicting this process explain why some people adapt to stressor exposure, whereas others do not. To date, these process models did not sufficiently explain how people adapt differently to a stressor. To address this issue, we developed a new model of psychological resilience, called the Psychological Immunity-Psychological Elasticity (PI-PE) model. The aim of this article is to clarify this model and to discuss its added value. First, we explain how we derived the PI-PE model from the literature regarding both the crucial elements in any resilience process model and the (mal)adaptive outcomes following stressful events. Secondly, we describe the different elements that make up the model. Characteristic of the PI-PE model is that it distinguishes between two pathways of psychological resilience – psychological immunity and psychological elasticity – with four adaptive outcomes, namely sustainability, recovery, transformation and thriving. To explain how people arrive at these different outcomes, we argue that two consecutive mechanisms are critical in these pathways: tolerance and narrative construction. Taken as a whole, the PI-PE model presents a comprehensive framework to inspire both research and practice. It explains how the process of psychological resilience works differently for different people and how to support individuals in their process towards successfully and differently adapting to stressors.
Bayesian Optimization Approaches for Identifying the Best Genotype from a Candidate Population
Authors: Tsai Shin-Fu , Shen Chih-Chien , Liao Chen-Tuo 
Published: May 2021

AbstractBayesian optimization is incorporated into genomic prediction to identify the best genotype from a candidate population. Several expected improvement (EI) criteria are proposed for the Bayesian optimization. The iterative search process of the optimization consists of two main steps. First, a genomic BLUP (GBLUP) prediction model is constructed using the phenotype and genotype data of a training set. Second, an EI criterion, estimated from the resulting GBLUP model, is employed to select the individuals that are phenotyped and added to the current training set to update the GBLUP model until the sequential observed EI values are less than a stopping tolerance. Three real datasets are analyzed to illustrate the proposed approach. Furthermore, a detailed simulation study is conducted to compare the performance of the EI criteria. The simulation results show that one augmented version derived from the distribution of predicted genotypic values is able to identify the best genotype from a large candidate population with an economical training set, and it can therefore be recommended for practical use. Supplementary materials accompanying this paper appear on-line.
Assessing perceptions and priorities for health impacts of climate change within local Michigan health departments
Authors: Carter Julie M. , Koman Patricia D. , Cameron Lorraine , Ferguson Aaron , Jacuzzo Patrick , Duvall Jason 
Published: May 2021

AbstractClimate change affects Michigan’s public health in several primary ways, including increased incidences of vector-borne, waterborne, heat-related, and respiratory illness. Because local health departments (LHDs) play a central role in surveillance and preventative health services, they are among the first institutions to contend with the local impacts of climate change. To assess current perceptions among Michigan public health officials, an online survey was conducted in partnership with the Michigan Association for Local Public Health (MALPH). Most of the Michigan respondents (62%, n = 34) agreed that their jurisdictions have experienced climate change in the last 20 years, and 77% agreed that climate change will impact their jurisdictions in the coming 20 years. However, only 35% (n = 34) of Michigan officials agreed that climate change is a priority in their departments. About one quarter (25%, n = 34) of Michigan LHD respondents did not know about the level of expertise of either the state and federal agencies, responsible for assisting them with information and programs related to climate change and health. Uncertainty regarding the resources available to them may hinder LHDs from developing necessary preparedness, so meeting this need could bolster the public health response to climate change.
Simulation of methane adsorption in diverse organic pores in shale reservoirs with multi-period geological evolution
Authors: Chen Shangbin , Zhang Chu , Li Xueyuan , Zhang Yingkun , Wang Xiaoqi 
Published: May 2021

AbstractIn shale reservoirs, the organic pores with various structures formed during the thermal evolution of organic matter are the main storage site for adsorbed methane. However, in the process of thermal evolution, the adsorption characteristics of methane in multi type and multi-scale organic matter pores have not been sufficiently studied. In this study, the molecular simulation method was used to study the adsorption characteristics of methane based on the geological conditions of Longmaxi Formation shale reservoir in Sichuan Basin, China. The results show that the characteristics of pore structure will affect the methane adsorption characteristics. The adsorption capacity of slit-pores for methane is much higher than that of cylindrical pores. The groove space inside the pore will change the density distribution of methane molecules in the pore, greatly improve the adsorption capacity of the pore, and increase the pressure sensitivity of the adsorption process. Although the variation of methane adsorption characteristics of different shapes is not consistent with pore size, all pores have the strongest methane adsorption capacity when the pore size is about 2 nm. In addition, the changes of temperature and pressure during the thermal evolution are also important factors to control the methane adsorption characteristics. The pore adsorption capacity first increases and then decreases with the increase of pressure, and increases with the increase of temperature. In the early stage of thermal evolution, pore adsorption capacity is strong and pressure sensitivity is weak; while in the late stage, it is on the contrary.
Subjective sleep quality, quantitative sleep features, and their associations dependent on demographic characteristics, habitual sleep–wake patterns, and distinction of weekdays/weekends
Authors: Choilek Siwalee , Karashima Akihiro , Motoike Ikuko , Katayama Norihiro , Kinoshita Kengo , Nakao Mitsuyuki 
Published: May 2021

AbstractGenerally applicable qualifications of sleep and principles for achieving better sleep are difficult to design, because sleep quality can depend on individual demographic characteristics and lifestyles. In this study, the static and dynamic features of sleep–wake patterns were analyzed in association with quantitative sleep-related parameters and self-rated sleep quality to serve as a practical selection of sleep–wake patterns fitted to individual conditions. Data obtained over a 2-week period by actigraphy from university students and information technology workers were measured to obtain a daily subjective rating of sleep quality using the Oguri–Shirakawa–Azumi (OSA) sleep inventory. Qualitative sleep quality in terms of OSA score and quantitative sleep-related and chronobiological features were analyzed with regard to their dependency on the demographic characteristics, habitual sleep–wake patterns (HSWP), and distinction of weekdays/weekends. Multi-factor ANOVA was used to further investigate their dependencies regarding multiple ways of interactions between the demographic characteristics, HSWP, and distinction of weekdays/weekends. Subjective sleep quality and quantitative sleep-related parameters depended on the demographic characteristics, and so did their associations. The classification of day-to-day variations in HSWP showed four clusters that were effective factors for understanding their dependencies. Multi-factor analysis revealed demographic characteristics, HSWP, distinction of weekdays/weekends, and their multi-way interactions up to 3rd order as significant effectors of qualitative and quantitative quality of sleep. This study clarified how quantitative sleep-related parameters, subjective sleep quality, and their associations depended on demographic characteristics. Furthermore, their dependency was understood as a combination of multi-way interactions between the demographic characteristics, HSWP, and the distinction of weekdays/weekends. Our findings could provide a basis for the design of individually matched sleep–wake patterns.
Mapping Young NEETs Across Europe: Exploring the Institutional Configurations Promoting Youth Disengagement from Education and Employment
Authors: Assmann Marie-Luise , Broschinski Sven 
Published: May 2021

AbstractOver the past decade, the number of young people neither in employment, education, or training (NEET) has reached a seriously high level in many European countries. Previous studies have illustrated the heterogeneity of this group and that they differ considerably across Europe. However, the reasons of these cross-country differences have hardly been investigated so far. This study explores how the rates of different NEET subgroups are conditioned by various institutional configurations by applying fuzzy-set Quantitative Comparative Analysis for 26 European countries using aggregated EU Labour Force Survey data from 2018. The analysis reveals that institutional causes of being NEET are as diverse as the group itself. Thus, high levels of young NEETs with care responsibilities are found in countries with a lack of family-related services in conjunction with weak formalised long-term care as it is true in mostly Central Eastern European countries. In contrast, high rates of NEETs with a disability are prevalent mainly in Northern European countries where generous and inefficient disability benefit schemes exist that create false incentives to stay away from the labour market. Finally, high proportions of unemployed and discouraged young NEETs are found in those countries hit hardest by the crisis and with high labour market rigidities, low vocational specificity, and a lack of active labour market policies like in the Southern and some Central Eastern European countries. The results illustrate that young people face very different barriers across Europe and that country-specific measures must be taken to reduce the number of NEETs in Europe.
Tuberculous and non‐tuberculous cervical lymphadenopathy incidence and distribution in Somalia from 2016 to 2020: A review of 241 cases
Authors: Tahtabasi Mehmet , Sahiner Fatih 
Published: May 2021

AbstractObjectiveTo determine the incidence of tuberculous lymphadenitis (TBL) and other pathologies in cervical lymphadenopathies in Somalia and accompanying radiological findings.MethodsIn this hospital‐based retrospective study, the demographic characteristics, pathology results and radiological findings of 263 patients who underwent ultrasound (US)‐guided cervical lymph node biopsy between January 2016 and February 2020 were analyzed.ResultsOf 241 patients 118 men and 123 women (mean age 27.9 ± 18.1 years) included in the study, 46.1% (n = 111) were diagnosed as necrotizing granulomatous lymphadenitis (caseified, consistent with TBL) and 21.6% (n = 12, atypical lymphoid cells and n = 40, metastases) as malignancy. The most common type of metastasis was squamous cell cancer (n = 31), and the primary source of most of them was esophageal cancer (16/31, 51.6%). The age of patients with TBL was significantly lower than that of non‐TBL (21.9 ± 14.6 vs. 41.9 ± 24.6, P = 0.003) and the incidence of TBL in pediatric patients was statistically higher (58.0% vs. 21.5%, P = 0.019). The rate of patients with TBL being localized at level 4 and level 5 was significantly more than non‐TBL patients (18.0% vs. 10.0% and 23.4% vs. 10.8%, respectively, P = 0.01). Half of patients with TBL who have chest radiography had pathological findings; consolidation and bronchopneumonia were present in 52.6% of them. There were 2 patients with paravertebral abscess and one patient with gastrointestinal tuberculosis.ConclusionIn Somalia, in the presence of cervical lymphadenopathy, after diagnosis by using US‐guided biopsy; primarily considering of TBL and malignancy, thoracic involvement should be investigated, and esophageal carcinoma must be excluded in terms of metastatic lymph node.
US Surveillance of Foreign Currency Exchange and Macroeconomic Practices
Authors: Qureshi Asif H. 
Published: May 2021

AbstractThis article focuses on the manner in which the US identifies the exchange rate and macroeconomic policies of its key trading partners and the policy advice it gives to them, when according to the US set criteria the trading partner's exchange rate and macroeconomic policies contribute to the US trade deficit. The article focuses on the US apparatus that is set in two different pieces of US legislation concerned essentially with currency manipulation mainly from the perspective of the WTO and IMF legal regimes. The paper concludes that although the US regime concerns currency manipulation, and is implemented to address a compliance void under the IMF and WTO procedures, it is flawed and that the Reports prepared under the US legislation are not qualitatively enlightening.
New Drought Projections Over East Asia Using Evapotranspiration Deficits From the CMIP6 Warming Scenarios
Authors: Kim Daeha , Ha Kyung‐Ja , Yeo Ji‐Hye 
Published: May 2021

AbstractIn this work, we projected future drought risks over East Asia from the perspective of evapotranspiration (ET) deficit using the new climate projections of the Coupled Model Intercomparison Project Phase 6 (CMIP6). For the regional drought projections, we employed a state‐of‐the‐art complementary relationship (CR) method to estimate ET and atmospheric evaporative demand (Ep) that quantify the combined impact of water deficiency and vapor pressure deficit stress. The performance of the CR method was validated using the reanalysis climate data and independent water‐balance ET estimates. The same CR method was again applied to hindcasts and projections of seven global climate models (GCM) in the CMIP6 archive. Results showed that the CR ET estimates and the GCM‐driven ET products were both able to approximately close the basin‐scale water balance and tightly correlated with each other. The application with the CMIP6 GCM hindcasts provided the same indication that the CR ET and the GCM‐driven ET are consistent. The drought assessments using the ET deficit (ET − Ep) from the CMIP6 projections implicates that future drought risks over East Asia would be much higher than indicated by precipitation or soil moisture projections. Rising trends of Ep are expected to outpace those of ET even under the medium‐level greenhouse gas emission scenario. Our new drought projections suggest that Ep amplified by soil water deficiency could raise agricultural and wildfire risks substantially by the end of the 21st century.
Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections
Authors: Nicholls Z. , Meinshausen M. , Lewis J. , Corradi M. Rojas , Dorheim K. , Gasser T. , Gieseke R. , Hope A. P. , Leach N. J. , McBride L. A. , Quilcaille Y. , Rogelj J. , Salawitch R. J. , Samset B. H. , Sandstad M. , Shiklomanov A. , Skeie R. B. , Smith C. J. , Smith S. J. , Su X. , Tsutsui J. , Vega‐Westhoff B. , Woodard D. L. 
Published: May 2021

AbstractOver the last decades, climate science has evolved rapidly across multiple expert domains. Our best tools to capture state‐of‐the‐art knowledge in an internally self‐consistent modeling framework are the increasingly complex fully coupled Earth System Models (ESMs). However, computational limitations and the structural rigidity of ESMs mean that the full range of uncertainties across multiple domains are difficult to capture with ESMs alone. The tools of choice are instead more computationally efficient reduced complexity models (RCMs), which are structurally flexible and can span the response dynamics across a range of domain‐specific models and ESM experiments. Here we present Phase 2 of the Reduced Complexity Model Intercomparison Project (RCMIP Phase 2), the first comprehensive intercomparison of RCMs that are probabilistically calibrated with key benchmark ranges from specialized research communities. Unsurprisingly, but crucially, we find that models which have been constrained to reflect the key benchmarks better reflect the key benchmarks. Under the low‐emissions SSP1‐1.9 scenario, across the RCMs, median peak warming projections range from 1.3 to 1.7°C (relative to 1850–1900, using an observationally based historical warming estimate of 0.8°C between 1850–1900 and 1995–2014). Further developing methodologies to constrain these projection uncertainties seems paramount given the international community's goal to contain warming to below 1.5°C above preindustrial in the long‐term. Our findings suggest that users of RCMs should carefully evaluate their RCM, specifically its skill against key benchmarks and consider the need to include projections benchmarks either from ESM results or other assessments to reduce divergence in future projections.
The Importance of Water Mass Transport and Dissolved‐Particle Interactions on the Aluminum Cycle in the Subtropical North Atlantic
Authors: Artigue Lise , Wyatt Neil J. , Lacan François , Mahaffey Claire , Lohan Maeve C. 
Published: May 2021

AbstractNew dissolved aluminum (dAl) data from the 2017 GEOTRACES process study GApr08 along 22°N in the subtropical North Atlantic are presented. They show an east to west increase in dAl concentration in the surface waters. Simulation of these data with a 1D advection‐dust deposition revealed that, (a) advection and dust dissolution are equally important dAl sources, (b) scavenging plays a minor role compared to advection in dAl removal, and (c) in addition to dust dissolution, another dAl source is required at the westernmost stations to fully explain our observations. We attribute this additional source to the dissolution of erosion products delivered to the western subtropical North Atlantic by the Lesser Antilles. For waters deeper than ∼200–300 m, an optimum multi‐parameter analysis allowed to separate the component of the dAl signal derived from water mass transport from its biogeochemical component. This revealed, (a) a major role played by water mass transport, (b) a net dAl removal between 200 and 800 m, attributed to scavenging at the subtropical North Atlantic scale, and (c) internal dAl inputs between 800 m and the seafloor, attributed to reversible scavenging. While the dAl oceanic distribution is usually considered to be dominated by the atmospheric dust input and removal by particle scavenging, this study highlights the important role played by advection, and the need to explicitly take this into account in order to quantitatively reveal the impact of external sources and dissolved‐particulate interactions on the Al cycle in the North Atlantic Ocean.