bluuebunny/crossref_metadata_2025_split huggingface dataset:
The capabilities of analyzing the seismo-electromagnetic satellite CSES-01 data for monitoring of seismic activity of the Northern Tien Shan
Authors: Nepeina K S 
Published: December 2021

Abstract
The relationship between space weather and earthquakes occurring in seismically active areas with the seismo-electromagnetic satellite CSES-01 data are observed. The study assumes the presence of possible ionospheric precursors of strong earthquakes. The sets of measuring instruments of the satellite and data are considered. Subsequently, to prove the non-random nature of the space weather effects, the results of ground-based geomagnetic or electromagnetic observations should be used, for example, magnetotelluric soundings (MTS). Stationary and regime points of the MTS network of the Research Station RAS in Bishkek (RS RAS) are suitable for these purposes in the Northern Tien Shan. The MTS data are presented in the form of hourly frequency-time series with system rotation from 0° to 180°. To obtain information on earthquakes, it is proposed to use data from the NEIC or ISC seismic catalog, since they aggregate data from regional catalogs, including the KNET seismological network maintained by the RS RAS. It is concluded that it is necessary to select the CSES-01 trajectories and times of flight over the territory of Kyrgyzstan and download the electric field detector (EFD) data. The results of comparing satellite and ground-based observations can be used in future technologies for short-term earthquake prediction.
Peculiarity of the use of pseudonoise signals in electrical prospecting equipment
Authors: Bobrovsky V V , Ilyichev P V 
Published: December 2021

Abstract
The article provides a practical assessment of the effectiveness of the use of electrical prospecting equipment with pseudonoise sounding signals based on the results of field experiments with a new electrical prospecting measuring complex developed at the Scientific Station of the Russian Academy of Sciences. Two main sources of interference are considered, limiting the possibilities of effective use of pseudonoise signals in electrical prospecting equipment: “structural disturbances”, manifested in the process of correlation processing of recorded signals and interference, the source of which is an industrial power network with a frequency of 50 Hz. Methods of reducing the influence of the above noises on the sounding curve obtained during data processing are considered using specially developed algorithms for eliminating “structural disturbances” and suppressing residual noise and interference.
Control of variations in the stress-strain state based on monitoring the apparent resistivity in the well
Authors: Chirkov E.B. , Idarmachev I.Sh. 
Published: December 2021

Abstract
The article gives an example of the application of a new approach to the search for short-term earthquake precursors based on the analysis of the data of three-year monitoring of the apparent resistivity in a water-saturated well on board a reservoir near a hydroelectric power station. The analysis also involved data on atmospheric pressure, water level and temperature in the well. The effects were estimated in a linear approximation, neglecting transients. The method of principal components was used for data processing. The results obtained in the time and frequency domains indicate that a new method for controlling localization variations and searching for short-term precursors of earthquakes is promising.
Resource Regions and the Transition to Sustainable Knowledge-based Development: Escaping the Resource Curse?
Authors: Kochergin D G , Zhernov E E , Logachev V A , Shutko L G 
Published: December 2021

Abstract
According to the economic concept of the “resource curse”, the specialization of countries and regions in the extraction of minerals can have a negative impact on their long-term economic development. The authors of the article propose, that this influence can significantly slow down the transition to development based on knowledge. The article tested this hypothesis using the dynamics of indicators of the knowledge-based economy the group of resource regions of Russia. Of the 12 resource regions of Russia, only two successfully form the knowledge-based economy - Tomsk Region and The Republic of Tatarstan. These regions had a developed education system and research infrastructure even before the discovery of oil here in the 1940s-1960s. For the rest of the resource regions, there is a large lag behind the leading regions of the knowledge economy in Russia, which does not significantly decrease during 2005-2019. At the same time, these regions did not have a developed scientific and educational base by the beginning of the active industrial development of natural resources on their territory. Thus, the formation of the knowledge-based economy in resource regions is strongly influenced by both the resource curse and path dependence effects. The absence of structural economic policies in the regions that are rich in natural resources will hinder their transition to knowledge-based development.
Management of mining wastes through their transformation into useful sorbent
Authors: Grela A , Łach M , Korniejenko K , Mierzwiński D , Bajda T , Hebda M , Figiela B 
Published: December 2021

Abstract
Abstract Every year a few hundred million or so tons of industrial waste are generated all over Europe. A considerable share is attributable to exploratory wastes from the mining sector and combustion byproducts. The process of their reprocessing and utilization fits into the following rules subject to intensive development, viz.: zero waste economy (Zero Waste Europe), effective use of resources (Resource Efficient Europe) as well as closed-circuit economy (Circular Economy). The article shows some research results to corroborate the concept of industrial waste processing of carbonaceous shales into sorbent materials. The applied process of carbonaceous shale calcination led to the obtaining of a material containing metakaolinite, then used in the synthesis of zeolites. The specific surface of the sorbent obtained in the aforesaid way exceeded 100 m2/g.
Drill bit deterioration estimation with the Random Forest Regressor
Authors: Góralczyk Mateusz , Michalak Anna , Śliwiński Paweł 
Published: December 2021

Abstract
Blastholes drilling performance is crucial for ensuring good performance of the whole excavation process, the correctness of which demands ‘healthy’ drill bit and appropriate behavior of an operator. Given the large volume of non-linear parameters describing the process, it appears reasonable to employ supervised learning methods to obtain drilling performance insights. Random Forest Regressor model has been trained on the dataset corresponding to correct performance of blastholes drilling and its hyperparameters have been tuned to obtain the highest possible accuracy. It has been later tested on three datasets corresponding to a good performance of drilling, and two cases of its non-optimal execution. Estimation errors are proposed to be used as bit technical state condition indicators (or more generally - process performance indicators). Root Mean Squared Error has been proven to differ significantly when compared estimation based on datasets corresponding to execution of drilling with ‘healthy’ drill bit, and its execution with worn-off one, however, it has been not sufficient to distinguish non-optimal drilling when additional feed pressure has been exerted by an operator to compensate the reduced pace of drilling. It has been, however, possible when the mean of absolute estimation errors has been used.
Two sides of radon - a radioactive and healing component of water and air
Authors: Maciejewski P , Kowalska A 
Published: December 2021

Abstract
This work presents two sides of radon - a radioactive, toxic element which has healing properties. Authors in this work present selected data about radon measurements in medicinal waters commonly used for radon therapy, to describe a phenomenon of radiation hormesis and healing properties of radon waters. From the other side, authors present the data about radon as a component of the atmosphere: radon-enriched air in health resorts, buildings (indoor radon). Authors present advantages and disadvantages of radon occurrence in human environment.
Methodologies for geological-geotechnical characterization of rock masses: role of geomechanical classifications and indexes
Authors: Santa C , Fernandes I , Chaminé HI 
Published: December 2021

Abstract
The geological and geotechnical description and evaluation are fundamental in engineering projects and the extractive industry, emphasizing underground environments where the rock mass is subjected to high stresses. In excavating rock masses, the classification systems contribute to parameterizing the rock material and rock mass characteristics. In addition, it is essential to the definition of the support to be applied, which limits are often based on the value of the geomechanical classifications. Therefore, determining the characteristics demands structured techniques to reconcile rigour, accuracy, and efficiency in the execution of the site investigation to obtain reliable data in an integrated action of the work cycle. This study analyses the applicability and feasibility of the Geological Strenght Index (GSI), based on field data collected in different underground projects. Various geological environments and distinct excavation purposes were selected to evaluate the possibility of expanding this version of the GSI to other rock types with the inclusion of the influence of groundwater on this classification.
From local to global matrix organization by fibroblasts: a 4D laser-assisted bioprinting approach
Authors: Douillet Camille , Nicodeme Marc , Hermant Loïc , Bergeron Vanessa , Guillemot Fabien , Fricain Jean-Christophe , Oliveira Hugo , Garcia Mikael 
Published: December 2021

Abstract
Fibroblasts and myofibroblasts play a central role in skin homeostasis through dermal organization and maintenance. Nonetheless, the dynamic interactions between (myo)fibroblasts and the extracellular matrix (ECM) remain poorly exploited in skin repair strategies. Indeed, there is still an unmet need for soft tissue models allowing to study the spatial-temporal remodeling properties of (myo)fibroblasts. In vivo, wound healing studies in animals are limited by species specificity. In vitro, most models rely on collagen gels reorganized by randomly distributed fibroblasts. But biofabrication technologies have significantly evolved over the past ten years. High-resolution bioprinting now allows to investigate various cellular micropatterns and the emergent tissue organizations over time. In order to harness the full dynamic properties of cells and active biomaterials, it is essential to consider ‘time’ as the 4th dimension in soft tissue design. Following this 4D bioprinting approach, we aimed to develop a novel model that could replicate fibroblast dynamic remodeling in vitro. For this purpose, (myo)fibroblasts were patterned on collagen gels with laser-assisted bioprinting (LAB) to study the generated matrix deformations and reorganizations. First, distinct populations, mainly composed of fibroblasts or myofibroblasts, were established in vitro to account for the variety of fibroblastic remodeling properties. Then, LAB was used to organize both populations on collagen gels in even isotropic patterns with high resolution, high density and high viability. With maturation, bioprinted patterns of fibroblasts and myofibroblasts reorganized into dispersed or aggregated cells, respectively. Stress-release contraction assays revealed that these phenotype-specific pattern maturations were associated with distinct lattice tension states. The two populations were then patterned in anisotropic rows in order to direct the cell-generated deformations and to orient global matrix remodeling. Only maturation of anisotropic fibroblast patterns, but not myofibroblasts, resulted in collagen anisotropic reorganizations both at tissue-scale, with lattice contraction, and at microscale, with embedded microbead displacements. Following a 4D bioprinting approach, LAB patterning enabled to elicit and orient the dynamic matrix remodeling mechanisms of distinct fibroblastic populations and organizations on collagen. For future studies, this method provides a new versatile tool to investigate in vitro dermal organizations and properties, processes of remodeling in healing, and new treatment opportunities.
Memory effects in black phosphorus field effect transistors
Authors: Grillo Alessandro , Pelella Aniello , Faella Enver , Giubileo Filippo , Sleziona Stephan , Kharsah Osamah , Schleberger Marika , Di Bartolomeo Antonio 
Published: December 2021

Abstract
We report the fabrication and the electrical characterization of back-gated field effect transistors with a black phosphorus (BP) channel. We show that the hysteresis of the transfer characteristic, due to intrinsic defects, can be exploited to realize non-volatile memories. We demonstrate that gate voltage pulses allow to trap and store charge inside the defect states, which enable memory devices with endurance over 200 cycles and retention longer than 30 min. We show that the use of a protective poly(methyl methacrylate) layer, positioned on top of the BP channel, does not affect the electrical properties of the device but avoids the degradation caused by the exposure to air.
2D porous Nb4N5@Nb2C heterojunctions for high-performance Li-ion batteries
Authors: Wu Jingsong , Guan Yunfeng , Li Ke , Xie Qun , Wang Zhiming , Zhu Hui , Zhang Qin , Li Xuanke , Yuan Guanming , Cong Ye 
Published: December 2021

Abstract
Constructing transition metal nitrides (TMNs) with a 2D porous structure is an effective strategy to alleviate their volume expansion and self-aggregation issues, eventually enhancing their electrochemical performance. However, very few studies have been reported up to now. Herein, 2D porous Nb4N5@Nb2C heterojunctions are successfully synthesized from Nb2C MXene precursor by employing a two-step nitridation method in NH3 atmosphere. Owing to the abundant active sites, fast Li-ions diffusion paths, and sufficient buffer space for releasing volume expansion, 2D porous Nb4N5@Nb2C heterojunctions achieve high rate performance and excellent cycling stability, maintaining 109.2 mAh g−1 at 2 A g−1 after 800 cycles. This work provides a facile strategy for building 2D porous TMNs and their heterojunctions with excellent electrochemical performances.
Witnessing objectivity on a quantum computer
Authors: Chisholm Diana A , García-Pérez Guillermo , Rossi Matteo A C , Maniscalco Sabrina , Palma G Massimo 
Published: December 2021

Abstract
Understanding the emergence of objectivity from the quantum realm has been a long standing issue strongly related to the quantum to classical crossover. Quantum Darwinism (QD) provides an answer, interpreting objectivity as consensus between independent observers. Quantum computers provide an interesting platform for such experimental investigation of QD, fulfiling their initial intended purpose as quantum simulators. Here we assess to what degree current Noisy intermediate-scale quantum devices can be used as experimental platforms in the field of QD. We do this by simulating an exactly solvable stochastic collision model, taking advantage of the analytical solution to benchmark the experimental results.
Generation of long- and short-range potentials from atom-molecules to quark-gluon systems by the GPT potential
Authors: Oryu Shinsho 
Published: December 2021

Abstract
The general particle transfer (GPT) potential generates not only the Yukawa-type potential but also the 1/r
n
-type potential in the hadron system, where the mass dependence of the transferred (exchanged) particle is clarified. The GPT potential from the atom-molecule system to the quark-gluon system was studied, where pico-meter physics could be highlighted. It is demonstrated that the long-range three-body Efimov potential is connected with the short-range three-body force potential by the GPT potential. Some applications for historical few-body problems in physics are summarized.
Stochasticity invariance control in Pr1−x
Ca
x
MnO3 RRAM to enable large-scale stochastic recurrent neural networks
Authors: Saraswat Vivek , Ganguly Udayan 
Published: December 2021

Abstract
Emerging non-volatile memories have been proposed for a wide range of applications, from easing the von-Neumann bottleneck to neuromorphic applications. Specifically, scalable RRAMs based on Pr1−x
Ca
x
MnO3 (PCMO) exhibit analog switching have been demonstrated as an integrating neuron, an analog synapse, and a voltage-controlled oscillator. More recently, the inherent stochasticity of memristors has been proposed for efficient hardware implementations of Boltzmann machines. However, as the problem size scales, the number of neurons increases and controlling the stochastic distribution tightly over many iterations is necessary. This requires parametric control over stochasticity. Here, we characterize the stochastic set in PCMO RRAMs. We identify that the set time distribution depends on the internal state of the device (i.e., resistance) in addition to external input (i.e., voltage pulse). This requires the confluence of contradictory properties like stochastic switching as well as deterministic state control in the same device. Unlike ‘stochastic-everywhere’ filamentary memristors, in PCMO RRAMs, we leverage the (i) stochastic set in negative polarity and (ii) deterministic analog Reset in positive polarity to demonstrate 100× reduced set time distribution drift. The impact on Boltzmann machines’ performance is analyzed and as opposed to the ‘fixed external input stochasticity’, the ‘state-monitored stochasticity’ can solve problems 20× larger in size. State monitoring also tunes out the device-to-device variability effect on distributions providing 10× better performance. In addition to the physical insights, this study establishes the use of experimental stochasticity in PCMO RRAMs in stochastic recurrent neural networks reliably over many iterations.
Inappropriate prescribing: hazards and solutions
Authors: Petrovic Mirko , O’Mahony Denis , Cherubini Antonio 
Published: December 2021

AbstractWith population ageing, the number of older people is growing, which results in increasing number of people with multimorbidity and related polypharmacy. Polypharmacy in its turn leads to drug-related problems (DRPs) and potentially inappropriate prescribing (IP) in older people. In this commentary, susceptibility of older people to DRPs due to changes in pharmacokinetics and pharmacodynamics, plurality of prescribing physicians, inadequate consideration of patients’ characteristics, polypharmacy and its consequences such as prescribing cascades, drug interactions and potentially IP have been discussed respectively. Consecutively, identifying DRPs and optimizing of IP, including drug reconciliation, application of criteria for identifying and preventing IP, implementation of computer-based prescribing systems, and comprehensive geriatric assessment and management have been elaborated as well. One of the main challenges regarding appropriate and tailored prescribing in older people is to evaluate whether the expected benefits of pharmacotherapy are bigger than the risks in a population with multimorbidity, decreased tolerance to vulnerability and limited life expectancy. Comprehensive geriatric assessment enables informed prescribing decisions in the context of such variables. A challenge for future research is how to integrate important clinical information obtained by existing methods into a comprehensive and wide-reaching approach targeting all potential factors involved in causing DRPs. Good prescribing in late life accommodates the needs of older patients with multimorbidity. Individualized, interactive, multidisciplinary, and multifaceted approach to geriatric pharmacotherapy should be promoted and encouraged. How to optimize pharmacological prescription in complex older patients is a major legacy of geriatrics to contemporary medicine/medical practice.
Secondhand Smoke Exposure During Childhood and Cancer Mortality in Adulthood Among Never Smokers: The Japan Collaborative Cohort Study for Evaluation of Cancer Risk
Authors: Teramoto Masayuki , Iso Hiroyasu , Wakai Kenji , Tamakoshi Akiko 
Published: December 2021

AbstractWe examined whether secondhand smoke exposure during childhood was associated with cancer mortality in adulthood among never smokers. In the Japan Collaborative Cohort Study for Evaluation of Cancer Risk, we analyzed data from 45,722 Japanese lifetime nonsmokers aged 40–79 years with no history of cancer at baseline (1988–1990) who had completed a lifestyle questionnaire, including information on the number of family members who had smoked at home during their childhood (0, 1, 2, or ≥3 family members). A Cox proportional hazards model and competing-risks regression were used to calculate multivariable hazard ratios and subdistribution hazard ratios with 95% confidence intervals for overall and site-specific cancer mortality according to the number of family members who smoked during the participant’s childhood, after adjusting for potentially confounding factors. During a median follow-up period of 19.2 years, a total of 2,356 cancer deaths were documented. Secondhand smoke exposure was positively associated with the risk of mortality from pancreatic cancer in adulthood; the multivariable hazard ratio for having 3 or more family members who smoked (as compared with none) was 2.32 (95% confidence interval: 1.14, 4.72). Associations were not evident for total cancer risk or risk of other types of smoking-related cancer. In this study, secondhand smoke exposure during childhood was associated with an increased risk of pancreatic cancer mortality in adulthood.
Comethyl: a network-based methylome approach to investigate the multivariate nature of health and disease
Authors: Mordaunt Charles E , Mouat Julia S , Schmidt Rebecca J , LaSalle Janine M 
Published: December 2021

Abstract
Health outcomes are frequently shaped by difficult to dissect inter-relationships between biological, behavioral, social and environmental factors. DNA methylation patterns reflect such multivariate intersections, providing a rich source of novel biomarkers and insight into disease etiologies. Recent advances in whole-genome bisulfite sequencing enable investigation of DNA methylation over all genomic CpGs, but existing bioinformatic approaches lack accessible system-level tools. Here, we develop the R package Comethyl, for weighted gene correlation network analysis of user-defined genomic regions that generates modules of comethylated regions, which are then tested for correlations with multivariate sample traits. First, regions are defined by CpG genomic location or regulatory annotation and filtered based on CpG count, sequencing depth and variability. Next, correlation networks are used to find modules of interconnected nodes using methylation values within the selected regions. Each module containing multiple comethylated regions is reduced in complexity to a single eigennode value, which is then tested for correlations with experimental metadata. Comethyl has the ability to cover the noncoding regulatory regions of the genome with high relevance to interpretation of genome-wide association studies and integration with other types of epigenomic data. We demonstrate the utility of Comethyl on a dataset of male cord blood samples from newborns later diagnosed with autism spectrum disorder (ASD) versus typical development. Comethyl successfully identified an ASD-associated module containing regions mapped to genes enriched for brain glial functions. Comethyl is expected to be useful in uncovering the multivariate nature of health disparities for a variety of common disorders. Comethyl is available at github.com/cemordaunt/comethyl with complete documentation and example analyses.