bluuebunny/crossref_metadata_2025_split huggingface dataset:
A cross-sectional study of Chinese women facial skin status with environmental factors and individual lifestyles
Authors: Yi Fan , Yang Xiao-xiao , Yang Ru-ya , Zhao Meng-meng , Dong Yin-mao , Li Li , He Yi-fan , Guo Miao-miao , Li Jing , Zhang Xiao-hui , Lu Zhi , Gu Jie , Bao Jing-lin , Meng Hong 
Published: October 2022

AbstractGeographical, environmental and pollution conditions affect facial skin health, but their effects on skin appearance have not been elucidated. This study aimed to describe the skin barrier and skin tone characteristics of Chinese subjects according to lifestyle and environmental conditions using in vitro measurements. In total, 1092 women aged 22–42 years were recruited from 7 representative Chinese cities. Eight skin parameters (hydration, sebum, pH, transdermal water loss, individual type angle, melanin index, erythema index, yellowness) were measured using noninvasive instruments; individual lifestyle data were also collected. Data on four meteorological factors (air temperature, relative humidity, sunshine duration, wind speed) and seven air pollution indicators (air quality index, fine particulate matter, breathable particulate matter, sulfur dioxide, nitrogen dioxide, carbon monoxide and ozone) were collected in each city from the China Meteorological Administration. Facial skin characteristics differed significantly between cities. Facial skin barrier characteristics and skin tones showed regional differences, with a better skin barrier associated with the western region, as indicated by high skin hydration and sebum secretion and a low pH value. According to the value of transdermal water loss, lighter and darker skin tones were found in the western and southern regions, respectively. Environmental conditions affected facial skin status. Air pollution induced facial skin issues, with fine particulate matter and nitrogen dioxide contributing the most. Individual lifestyles affected the facial skin barrier and skin tone.
Evaluation of coal seam floor water bursting in multi-aquifer Gequan coal mine, China
Authors: Lv Situ , Zeng Yifan , Zhang Longqiang , Zhao Haonan 
Published: October 2022

AbstractA water-bursting evaluation of the coal seam floor is critical to ensure safety of coal mine production. The vulnerability index method based on AHP is selected for this study’s evaluation method. Water pressure, measured specific yield, equivalent thickness of effective aquiclude, brittle rock thickness under mining pressure damage zone, distribution of faults, distribution of collapse column, distribution of endpoints, and the intersection of fault are taken as the evaluation index based on the analysis of geological data in the study area. The authors assessed the threat posed by the two aquifers in the lower portion of the coal seam. Separate evaluations were conducted on the Benxi and Ordovician limestone aquifers. The results’ veracity was confirmed by comparing the obtained results to the water bursting point and a few boreholes. The evaluation results provide recommendations for the safe operation of coal mines.
Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030
Authors: Nsashiyi Raïssa Shiyghan , Rahman Md Mizanur , Ndam Lawrence Monah , Hashizume Masahiro 
Published: October 2022

AbstractEstimates of married women of reproductive age (MWRA) are needed for policy decisions to enhance reproductive health. Given the unavailability in Cameroon, this study aimed to derive MWRA counts by regions and divisions from 2000 to 2030. Data included 1976, 1987, and 2005 censuses with 606,542 women, five Demographic and Health Surveys from 1991 to 2018 with 48,981 women, and United Nations World Population Prospects from 1976 to 2030. Bayesian models were used in estimating fertility rates, net-migration, and finally, MWRA counts. The total MWRA population in Cameroon was estimated to increase from 2,260,665 (2,198,569–2,352,934) to 6,124,480 (5,862,854–6,482,921), reflecting a 5.7 (5.2–6.2) percentage points (%p) annual rise from 2000–2030. The Centre and Far North regions host the largest numbers, projected to reach 1,264,514 (1,099,373–1,470,021) and 1,069,814 (985,315–1,185,523), respectively, in 2030. The highest divisional-level increases are expected in Mfoundi [14.6%p (11.2–18.8)] and Bénoué [14.9%p (11.1–20.09). This study’s findings, showing varied regional- and divisional-level estimates of and trends in MWRA counts should set a baseline for determining the demand for programmes such as family planning, and the scaling of relevant resources sub-nationally.
Association of health asset value with subjective well-being, depression, health management strategy and habits in South Korea
Authors: Yun Young Ho , Yoon Hyejeong , Park Eunwoo 
Published: October 2022

AbstractThis study aims to measure the monetary value of health asset based on the self-reported health status and rate of health asset value (HAV), and to evaluate its application to the subjective well-being and health competency of a representative sample of South Korea. From March to April 2021, 1000 participants were randomly sampled nationwide in South Korea and administered questionnaires including self-reported rate of health asset value and health status, the Subjective Well-Being Index (SWBI), Patient Health Questionnaire-9 (PHQ-9), Smart Management Strategy for Health Assessment Tool (SAT), and 11 health habits. In multiple stepwise logistic regression model adjusted for basic demographic variables (age, sex, region, monthly income level, and comorbidity), current HAV was independently associated positively with SWBI (adjusted odds ratio [aOR], 4.32; confidence interval [CI] 2.27–8.23) and negatively with PHQ-9 (aOR 0.68; 95% CI 0.51–0.90). Core (aOR 1.66; CI 1.25–2.19), Preparation (aOR 1.79; CI 1.24–2.59), and Implementation Strategy scores of SAT (aOR 1.79; CI 1.26–2.55) were independently associated positively with current HAV. All 11 health habits were independently associated positively with current HAV (aOR range from 1.80 to 3.19). The HAV approach offers a new monetary value of health that can be used in making individual or political decisions of improving health or reducing health inequity.
Synthesis and preliminary biological evaluation of gabactyzine, a benactyzine-GABA mutual prodrug, as an organophosphate antidote
Authors: Weitman Michal , Eisenkraft Arik , TaShma Zeev , Makarovsky Igor , Last David , Daniels Dianne , Guez David , Shneor Ran , Mardor Yael , Nudelman Abraham , Krivoy Amir 
Published: October 2022

AbstractOrganophosphates (OPs) are inhibitors of acetylcholinesterase and have deleterious effects on the central nervous system. Clinical manifestations of OP poisoning include convulsions, which represent an underlying toxic neuro-pathological process, leading to permanent neuronal damage. This neurotoxicity is mediated through the cholinergic, GABAergic and glutamatergic (NMDA) systems. Pharmacological interventions in OP poisoning are designed to mitigate these specific neuro-pathological pathways, using anticholinergic drugs and GABAergic agents. Benactyzine is a combined anticholinergic, anti-NMDA compound. Based on previous development of novel GABA derivatives (such as prodrugs based on perphenazine for the treatment of schizophrenia and nortriptyline against neuropathic pain), we describe the synthesis and preliminary testing of a mutual prodrug ester of benactyzine and GABA. It is assumed that once the ester crosses the blood–brain-barrier it will undergo hydrolysis, releasing benactyzine and GABA, which are expected to act synergistically. The combined release of both compounds in the brain offers several advantages over the current OP poisoning treatment protocol: improved efficacy and safety profile (where the inhibitory properties of GABA are expected to counteract the anticholinergic cognitive adverse effects of benactyzine) and enhanced chemical stability compared to benactyzine alone. We present here preliminary results of animal studies, showing promising results with early gabactyzine administration.
Estimates of regeneration potential in the Pannonian sand region help prioritize ecological restoration interventions
Authors: Csákvári Edina , Molnár Zsolt , Halassy Melinda 
Published: October 2022

AbstractRestoration prioritization helps determine optimal restoration interventions in national and regional spatial planning to create sustainable landscapes and maintain biodiversity. Here we investigate different forest-steppe vegetation types in the Pannonian sand region to provide restoration recommendations for conservation management, policy and research. We create spatial trajectories based on local, neighbouring and old-field regeneration capacity estimates of the Hungarian Habitat Mapping Database, compare the trajectories between different mesoregions and determine which environmental predictors possibly influence them at the mesoregion level using a random forest model. The trajectories indicate which types of passive or active restoration intervention are needed, including increasing connectivity, controlling invasive species, or introducing native species. Better restoration results can be achieve in the vicinity of larger (semi-)natural areas, but the specific site conditions must also be taken into account during prioritization. We also propose large-scale grassland restoration on abandoned agricultural fields instead of industrial forest plantations and afforestation with non-native species.
N/O abundance ratio and the progenitor mass for the most luminous planetary nebulae of M 31
Authors: Ueta Toshiya , Otsuka Masaaki 
Published: October 2022

Context. Plasma diagnostics form the basis of investigation into the physico-chemical properties of line-emitting gaseous systems.
Aims. To perform plasma diagnostics properly, it is essential to accurately correct the input spectrum for extinction because determining the degree of extinction is dependent on the physical properties of the line-emitting gas. Hence, both extinction correction and plasma diagnostics have to be performed simultaneously and self-consistently.
Methods. By comparing the results of analyses performed for a sample of nine bright planetary nebulae in M 31, both with and without the fully iterative self-consistent simultaneous extinction correction and plasma diagnostics, we demonstrate how a seemingly benign initial assumption of the physical conditions of the line-emitting gas in extinction correction could compromise the results of the entire analyses in terms of the extinction, electron density and temperature, and ionic and elemental abundances.
Results. While the electron density and temperature are relatively immune to the imposed inconsistent assumptions, the compromised extinction would cause systematic offsets in the extinction-corrected spectrum, and hence, line strengths, which consequently would impose adverse effects on the resulting ionic and elemental abundances, and other inferences made from the incorrect results.
Conclusions. We find that this M 31 PN sample simply represents those around the high-mass end of the mass range for low-mass planetary nebula progenitor stars as expected from the existing theoretical models. It appears that the suspicion raised in the previous study – that these PNe could be anomalously nitrogen-overabundant for the expected progenitor mass range – is simply caused by the apparent underestimation in extinction that originates from the imposed inconsistent assumptions in extinction correction. In a larger context, the results of plasma diagnostics in the literature that are done without seeking simultaneous self-consistency with extinction corrections have to be handled with caution. Ideally, such previous results should be re-evaluated by always seeking simultaneous self-consistency.
Research hotspots and trends in heritage building information modeling: A review based on CiteSpace analysis
Authors: Zhang Ziyi , Zou Yiquan 
Published: October 2022

AbstractThe year 2022 marks the 50th anniversary of the signing of the Convention Concerning the Protection of World Cultural and Natural Heritage. Heritage building information modeling (HBIM), which is a digital method of conserving architectural heritage, has recently received a great deal of attention from researchers, planners, and policy-makers in related fields around the world. However, there is not yet a complete analysis of the hot spots and trends in this area of research, nor has a complete workflow based on the practical application of HBIM been developed. In this article, we analyzed the research progress, hot spots, and trends in HBIM since 2010. We used the CiteSpace scientometric analysis tool to analyze 372 documents with high relevance to HBIM from the Web of Science core database using literature co-citation analysis, keyword co-occurrence analysis, cluster analysis, and keyword emergence detection. The findings show that research in the field of HBIM was still in the conceptualization stage during 2010–2017, and with the continuous development of various technologies, attention to HBIM has gradually accelerated since 2017 by expanding its uses to multidisciplinary fields such as artificial intelligence. In the cluster analysis of literature co-citations, 14 clusters were generated, and four clusters, semiautomatic 3D modeling, heritage information system, pilot study, and virtual reality, which have high rates of citation, are discussed in this paper. These clusters reflect the hot spots and frontiers of research in HBIM to a certain extent. In the “Discussion” section, a systematic and complete workflow of HBIM application to heritage architecture is proposed for three levels: modeling, data exchange, and auxiliary management. On this basis, the development of the field of heritage building conservation and sustainable development is analyzed to provide valuable theoretical and practical references to propose future research directions.
Upgraded main ion charge exchange recombination spectroscopy on the C-2W field reversed configuration (FRC) plasma
Authors: Marshall Ryan S. , Gupta Deepak K. , Leinweber Hannes , Aviles Juan , Nations Marcel , Sweeney James ,   TAE Team
Published: October 2022

A prototype main-ion CHarge Exchange Recombination Spectroscopy (mCHERS) diagnostic is providing measurements of the main-ion (hydrogen or deuterium) temperature and velocity in the C-2W field reversed configuration plasma using charge exchange Balmer-alpha emission at five different radial locations with 500 Hz frequency and a per-pixel velocity resolution of 15 km/s. Measurement along the entire plasma radius of C-2W is enabled by a diagnostic neutral beam (DNB) that passes through the center of plasma, unlike the larger diameter heating neutral beams that have impact parameters of 20 cm. DNB provides high time resolution via beam modulation and spatial resolution via its small cross section. The goals of the current mCHERS upgrade are to double the number of spatial channels, improve the per-pixel velocity resolution by three times, and increase the measurement frequency to match the maximum modulation frequency of the diagnostic neutral beam (∼10 kHz). To accomplish these goals, a new astigmatism-free Isoplane spectrometer has been commissioned. Progress and results from the newly upgraded mCHERS system are detailed.
Effects of germination on the energy value of cereal grains for livestock
Authors: Black J. L. , Tredrea A. M. , Bird S. H. , Hughes R. J. , Nielsen S. G. 
Published: October 2022

Context Unusually wet weather in eastern Australia during the 2021 spring resulted in prolonged preharvest germination of a large proportion of cereal crops. An estimated 40–45% of wheat grown in New South Wales was downgraded from human consumption to feed-wheat. Similarly, preharvest germination of barley renders it unsuitable for malting or brewing. Aims To investigate the impact of wheat grown in 2021 and of various germination times on the energy value of cereal grain species for different livestock types. Methods Twenty-three samples of wheat harvested in 2021 were evaluated. Three experiments were also conducted with increasing germination times, as follows: (1) grain from wheat, barley and sorghum cultivars were germinated for 0–100 h; (2) sorghum grain was steeped in water and germinated for 5 or 10 days, with different periods of ensiling to simulate grain ‘reconstitution’ as practiced in cattle feedlots; (3) barley, wheat, sorghum and triticale grain was germinated for 0, 20 or 48 h and fed to meat chickens. Experiments 1 and 2 were conducted in vitro, with starch disappearance, starch digestion by animal-derived enzymes and starch fermentation by rumen microbes measured. Key results Short-term germination did not affect grain starch content within a cultivar, increased animal enzyme digestion of starch for barley, but not for wheat or sorghum. Longer germination of sorghum grain for 5–10 days substantially increased starch fermentability, which was further enhanced by anaerobic ensiling. Germination significantly increased the available-energy content of barley grain, but not wheat, sorghum or triticale for meat chickens. Conclusions The energy content of preharvest germinated grains for animals was not decreased, but increased for barley fed to chickens and for sorghum fed to ruminants after 5 days of germination. Implications Feeding preharvest germinated grains to livestock does not reduce energy availability, but may lead to fungal growth and mycotoxin formation.
The effects of Heisenberg constraint on the classical cross sections in proton hydrogen collision
Authors: Ziaeian Iman , Tőkési Károly 
Published: October 2022

Abstract
The interaction between a proton and a ground state hydrogen atom is studied using a standard three-body classical trajectory Monte Carlo (CTMC) and a quasi-classical trajectory Monte Carlo (QCTMC) model where the quantum feature of the collision system is mimicked using the model potential in the Hamiltonian as was proposed by Kirschbaum and Wilets (1980 Phys. Rev. A 21 834). The influence of the choice of the model potential parameters (α, ξ) on the initial radial and momentum distribution of the electron are analyzed and optimized. We found that although these distributions may not be as close to the quantum results as the distribution of standard CTMC results, we can find the combination of the (α, ξ) where the calculated cross sections are closer to the experimental data and closer to the results obtained quantum mechanically. We show that the choice of 3 < α < 5 is reasonable. To validate our observation, we present cross sections for ionization, excitation, charge exchange (CX), and state selective CX to the projectile bound state. Calculations are carried out in the projectile energy range between 10 and 1000 keV amu−1.
Driving induced ergodicity breaking in a kinetic constraint quantum system
Authors: Dai C M , Zhang Yunbo , Yi X X 
Published: October 2022

Abstract
Periodically driving an interacting many-body system generically leads to a featureless ergodic phase, in which the memory of initial condition is completely erased in the long time limit. Here we study the quantum East model under periodic driving, and show that the strength of the kinetic constraint can be effectively tuned by manipulating the driving amplitude when the driving frequency is high enough. Using numerical simulations, we find that there is a driving induced ergodic to non-ergodic phase transition for high frequency driving and a wide range of driving amplitude. For driven system in the non-ergodic phase, it exhibits slow dynamics and the localization of excitation. Our findings show the possibility of engineering long live Floquet states in translation-invariant quantum systems.
The theory of transport in helical spin-structure crystals
Authors: Zadorozhnyi Andrei , Dahnovsky Yuri 
Published: October 2022

Abstract
We study helical structures in spin-spiral single crystals. In the continuum approach for the helicity potential energy the simple electronic band splits into two non-parabolic bands. For low exchange integrals, the lower band is described by a surface with a saddle shape in the direction of the helicity axis. Using the Boltzmann equation with the relaxation due to acoustic phonons, we discover the dependence of the current on the angle between the electric field and helicity axis leading to the both parallel and perpendicular to the electric field components in the electroconductivity. The latter can be interpreted as a planar Hall effect. In addition, we find that the transition rates depend on an electron spin allowing the transition between the bands. The electric conductivities exhibit nonlinear behaviors with respect to chemical potential µ. We explain this effect as the interference of the band anisotropy, spin conservation, and interband transitions. The proposed theory with the spherical model in the effective mass approximation for conduction electrons can elucidate nonlinear dependencies that can be identified in experiments. We find the excellent agreement between the theoretical and experimental data for parallel resistivity depending on temperature at the phase transition from helical to ferromagnetic state in a

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single crystal. In addition, we predict that the perpendicular resistivity abruptly drops to zero in the ferromagnetic phase.
Shape memory polymer composites (SMPCs) using interconnected nanowire network foams as reinforcements
Authors: Chen Yixi , Kazerooni Nazanin Afsar , Srinivasa Arun , Chapkin Wesley A , Sihn Sangwook , Roy Ajit K , Vaddiraju Sreeram 
Published: October 2022

Abstract
Shape memory polymers (SMPs), although offer a suite of advantages such as ease of processability and lower density, lag behind their shape memory alloy counterparts, in terms of mechanical properties such as recovery stress and cyclability. Reinforcing SMPs with inorganic nanowires and carbon nanotubes (CNTs) is a sought-after pathway for tailoring their mechanical properties. Here, inorganic nanowires also offer the added advantage of covalently binding the fillers to the surrounding polymer matrices via organic molecules. The SMP composites (SMPCs) thus obtained have well-engineered nanowire-polymer interfaces, which could be used to tune their mechanical properties. A well-known method of fabricating SMPCs involving casting dispersions of nanowires (or CNTs) in mixtures of monomers and crosslinkers typically results in marginal improvements in the mechanical properties of the fabricated SMPCs. This is owed to the constraints imposed by the rule-of-mixture principles. To circumvent this limitation, a new method for SMPC fabrication is designed and presented. This involves infiltrating polymers into pre-fabricated nanowire foams. The pre-fabricated foams were fabricated by consolidating measured quantities of nanowires and a sacrificial material, such as (NH4)2CO3, followed by heating the consolidated mixtures for subliming the sacrificial material. Similar to the case of traditional composites, use of silanes to functionalize the nanowire surfaces allowed for the formation of bonds between both the nanowire-nanowire and the nanowire-polymer interfaces. SMPCs fabricated using TiO2 nanowires and SMP composed of neopentyl glycol diglycidyl ether and poly(propylene glycol) bis(2-aminopropyl ether) (Jeffamine D230) in a 2:1 molar ratio exhibited a 300% improvement in the elastic modulus relative to that of the SMP. This increase was significantly higher than SMPC made using the traditional fabrication route. Well-known powder metallurgy techniques employed for the fabrication of these SMPCs make this strategy applicable for obtaining other SMPCs of any desired shape and chemical composition.