bluuebunny/crossref_metadata_2025 huggingface dataset:
A Closed-Loop Optimized System with CFD Data for Liquid Maldistribution Model
Authors: Zhang Wei , Li Liyi , Zhang Baoping , Xu Xin , Zhai Jian , Wang Junwen
Published: October 2020

For the simulation of a trickle-bed reactor (TBR) in coal and oil refining, modeling the liquid maldistribution of the gas-liquid distributor incurs enormous pre-processing work and bears a huge computational cost. A closed-loop optimized system with computational fluid dynamic (CFD) data is therefore proposed for the first time in this paper. A fast prediction model based on support vector regression (SVR) is developed to simplify the modeling of the liquid flow rate in TBRs. The model uses CFD simulation results to determine an optimized set of structural parameters for the gas-liquid distributor in TBRs. In order to obtain an accurate SVR model quickly, the particle swarm optimization (PSO) algorithm is employed to optimize the SVR parameters. Then, the structural parameters corresponding to the minimum liquid maldistribution factor are calculated using the response surface methodology (RSM) based on the hybrid PSO-SVR model. The CFD validation results show a good agreement with the values predicted by RSM, with liquid maldistribution factors of 0.159 and 0.162, respectively.
Radiation Response of Human Cardiac Endothelial Cells Reveals a Central Role of the cGAS-STING Pathway in the Development of Inflammation
Authors: Philipp Jos , Le Gleut Ronan , Toerne Christine von , Subedi Prabal , Azimzadeh Omid , Atkinson Michael J. , Tapio Soile
Published: October 2020

Radiation-induced inflammation leading to the permeability of the endothelial barrier may increase the risk of cardiovascular disease. The aim of this study was to investigate potential mechanisms in vitro at the level of the proteome in human coronary artery endothelial cells (HCECest2) that were exposed to radiation doses of 0, 0.25, 0.5, 2.0 and 10 Gy (60Co-γ). Proteomics analysis was performed using mass spectrometry in a label-free data-independent acquisition mode. The data were validated using bioinformatics and immunoblotting. The low- and moderate-dose-irradiated samples (0.25 Gy, 0.5 Gy) showed only scarce proteome changes. In contrast, an activation of DNA-damage repair, inflammation, and oxidative stress pathways was seen after the high-dose treatments (2 and 10 Gy). The level of the DNA damage response protein DDB2 was enhanced early at the 10 Gy dose. The expression of proteins belonging to the inflammatory response or cGAS-STING pathway (STING, STAT1, ICAM1, ISG15) increased in a dose-dependent manner, showing the strongest effects at 10 Gy after one week. This study suggests a connection between the radiation-induced DNA damage and the induction of inflammation which supports the inhibition of the cGAS-STING pathway in the prevention of radiation-induced cardiovascular disease.
IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm
Authors: Han Taekjin , Kang Wonho , Choi Gyunghyun
Published: October 2020

Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary damage from falls can lead to death. As such, fall detection is a crucial topic. However, due to the trade-off relationship between privacy preservation, user convenience, and fall detection performance, it is generally difficult to develop a fall detection system that simultaneously satisfies all conditions. The main goal of this study is to build a practical fall detection framework that can effectively classify the various behavior types into “Fall” and “Activities of daily living (ADL)” while securing privacy preservation and user convenience. For this purpose, signal data containing the motion information of objects was collected using a non-contact, unobtrusive, and non-restraint impulse-radio ultra wideband (IR-UWB) radar. These data were then applied to a convolutional neural network (CNN) algorithm to create an object behavior type classifier that can classify the behavior types of objects into “Fall” and “ADL.” The data were collected by actually performing various activities of daily living, including falling. The performance of the classifier yielded satisfactory results. By combining an IR-UWB and CNN algorithm, this study demonstrates the feasibility of building a practical fall detection system that exceeds a certain level of detection accuracy while also ensuring privacy preservation and user convenience.
Non-Contact Monitoring on the Flow Status inside a Pulsating Heat Pipe
Authors: Chen Yang , He Yongqing , Zhu Xiaoqin
Published: October 2020

The paper presents a concept of thermal-to-electrical energy conversion by using the oscillatory motion of magnetic fluid slugs which has potential to be applied in the field of sensors. A pulsating heat pipe (PHP) is introduced to produce vapor-magnetic fluid plug–slug flow in a snake-shaped capillary tube. As the magnetic fluid is magnetized by the permanent magnet, the slugs of magnetic fluid passing through the copper coils make the magnetic flux vary and produce the electromotive force. The peak values of induced voltage observed in our tests are from 0.1 mV to 4.4 mV. The effects of the slug velocity, heat input and magnetic particle volume concentration on the electromotive force are discussed. Furthermore, a theoretical model considering the fluid velocity of the working fluid, the inner radius of the PHP and the contact angle between the working fluid and the pipe wall is established. At the same time, the theoretical and experimental results are compared, and the influences of tube inner radius, working fluid velocity and contact angle on the induced electromotive force are analyzed.
Planetary-Scale Geospatial Open Platform Based on the Unity3D Environment
Authors: Lee Ahyun , Chang Yoon-Seop , Jang Insung
Published: October 2020

Digital twin technology based on building a virtual digital city similar to a real one enables the simulation of urban phenomena or the design of a city. A geospatial platform is an essential supporting component of digital twin cities. In this study, we propose a planetary-scale geospatial open platform that can be used easily in the most widely used game engine environment. The proposed platform can visualize large-capacity geospatial data in real time because it organizes and manages various types of data based on quadtree tiles. The proposed rendering tile decision method provides constant geospatial data visualization according to the camera controls of the user. The platform implemented is based on Unity3D, and therefore, one can use it easily by importing the proposed asset library. The proposed geospatial platform is available on the Asset Store. We believe that the proposed platform can meet the needs of various three-dimensional (3-D) geospatial applications.
Reflective Bistable Chiral Splay Nematic Liquid Crystal for Low-Power Heat Sensor
Authors: Chen Chao Ping , Jhun Chul Gyu
Published: October 2020

The memory effect of the bistable liquid crystal mode is able to maintain the display information for a long time. The splay state and π twist states are used as the memory states of the bistable chiral splay nematic (BCSN) mode. The transition time from the π twist state to the splay state is sensitive to the temperature. In this paper, for the heat sensor application, the reflective structure of the BCSN mode has been studied by the Jones matrix method. In experiments, the measured contrast ratio can be over 200 with a minimal reflective structure including a single polarizer and a reflector.
An API for Wearable Environments Development and Its Application to mHealth Field †
Authors: Sartori Fabio
Published: October 2020

Wearable technologies are transforming research in traditional paradigms of software and knowledge engineering. Among them, expert systems have the opportunity to deal with knowledge bases dynamically varying according to real-time data collected by position sensors, movement sensors, etc. However, it is necessary to design and implement opportune architectural solutions to avoid expert systems are responsible for data acquisition and representation. These solutions should be able to collect and store data according to expert systems desiderata, building a homogeneous framework where data reliability and interoperability among data acquisition, data representation and data use levels are guaranteed. To this aim, the wearable environment notion has been introduced to treat all those information sources as components of a larger platform; a middleware has been designed and implemented, namely WEAR-IT, which allows considering each sensor as a source of information that can be dynamically tied to an expert system application running on a smartphone. As an application example, the mHealth domain is considered.
New Multi-Step Iterative Methods for Solving Systems of Nonlinear Equations and Their Application on GNSS Pseudorange Equations
Authors: Madhu Kalyanasundaram , Elango Arul , Jr Landry René , Al-arydah Mo’tassem
Published: October 2020

A two-step fifth and a multi-step 5+3r order iterative method are derived, r≥1 for finding the solution of system of nonlinear equations. The new two-step fifth order method requires two functions, two first order derivatives, and the multi-step methods needs a additional function per step. The performance of this method has been tested with finding solutions to several test problems then applied to solving pseudorange nonlinear equations on Global Navigation Satellite Signal (GNSS). To solve the problem, at least four satellite’s measurements are needed to locate the user position and receiver time offset. In this work, a number of satellites from 4 to 8 are considered such that the number of equations is more than the number of unknown variables to calculate the user position. Moreover, the Geometrical Dilution of Precision (GDOP) values are computed based on the satellite selection algorithm (fuzzy logic method) which could be able to bring the best suitable combination of satellites. We have restricted the number of satellites to 4 to 6 for solving the pseudorange equations to get better GDOP value even after increasing the number of satellites beyond six also yields a 0.4075 GDOP value. Actually, the conventional methods utilized in the position calculation module of the GNSS receiver typically converge with six iterations for finding the user position whereas the proposed method takes only three iterations which really decreases the computation time which provide quicker position calculation. A practical study was done to evaluate the computation efficiency index (CE) and efficiency index (IE) of the new model. From the simulation outcomes, it has been noted that the new method is more efficient and converges 33% faster than the conventional iterative methods with good accuracy of 92%.
Decision Tree-Based Classification for Planetary Gearboxes’ Condition Monitoring with the Use of Vibration Data in Multidimensional Symptom Space
Authors: Lipinski Piotr , Brzychczy Edyta , Zimroz Radoslaw
Published: October 2020

Monitoring the condition of rotating machinery, especially planetary gearboxes, is a challenging problem. In most of the available approaches, diagnostic procedures are related to advanced signal pre-processing/feature extraction methods or advanced data (features) analysis by using artificial intelligence. In this paper, the second approach is explored, so an application of decision trees for the classification of spectral-based 15D vectors of diagnostic data is proposed. The novelty of this paper is that by a combination of spectral analysis and the application of decision trees to a set of spectral features, we are able to take advantage of the multidimensionality of diagnostic data and classify/recognize the gearbox condition almost faultlessly even in non-stationary operating conditions. The diagnostics of time-varying systems are a complicated issue due to time-varying probability densities estimated for features. Using multidimensional data instead of an aggregated 1D feature, it is possible to improve the efficiency of diagnostics. It can be underlined that in comparison to previous work related to the same data, where the aggregated 1D variable was used, the efficiency of the proposed approach is around 99% (ca. 19% better). We tested several algorithms: classification and regression trees with the Gini index and entropy, as well as the random tree. We compare the obtained results with the K-nearest neighbors classification algorithm and meta-classifiers, namely: random forest and AdaBoost. As a result, we created the decision tree model with 99.74% classification accuracy on the test dataset.
Corrosion Detection in PSC Bridge Tendons Using Kernel PCA Denoising of Measured MFL Signals
Authors: Oh Chang Kook , Joh Changbin , Lee Jung Woo , Park Kwang-Yeun
Published: October 2020

The construction of prestressed concrete bridges has witnessed a steep increase for the past 50 years worldwide. The constructed bridges exposed to various environmental conditions deteriorate all along their service life. One such degradation is corrosion, which can cause significant damage if it occurs on the main structural components, such as prestressing tendons. In this study, a novel non-destructive evaluation method to incorporate a movable yoke system with denoising algorithm based on kernel principal component analysis is developed and applied to identify the loss of cross-sectional area in corroded external prestressing tendons. The proposed method using denoised output voltage signals obtained from the measuring device appears to be a reliable and precise monitoring system to detect corrosion with less than 3% sectional loss.
Fluorescence Spectroscopy for Studying Evaporating Droplets Using the Dye Eosin-Y
Authors: Koegl Matthias , Weiß Christoph , Zigan Lars
Published: October 2020

Laser-induced fluorescence (LIF) spectroscopy using dyes is frequently applied for characterization of liquids and two-phase flows. The technique is utilized e.g., for mixing studies, thermometry, or droplet sizing. One major application of the LIF technique combined with Mie-scattering is the planar measurement of droplet sizes in spray systems. However, its uncertainty is determined, among others, by varying dye concentration and temperature changes occurring during mixing and droplet evaporation. Systematic experimental investigations are necessary to determine the influence of dye enrichment effects on the LIF-signal of single droplets. For these investigations, the fluorescence dye Eosin-Y is dissolved in water and ethanol, which are typical solvents and working fluids in bio-medical applications and power engineering. A photo-physical characterization of the mixtures under various conditions was conducted using a spectrometric LIF setup and a micro cell. For ethanol, a small temperature dependency of the Eosin-Y LIF signal is observed up to 373 K. Photo-dissociation of Eosin-Y is negligible for solution in ethanol while it is distinct in water. The LIF signals of the single droplets are studied with an acoustic levitator. Effects of droplet evaporation, droplet deformation and varying dye concentration on the LIF-signal are studied. The single droplet measurements revealed a complex change of the fluorescence signal with reduced droplet size. This is due to droplet deformations leading to variations in the internal illumination field as well as dye enrichment during evaporation.
Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics
Authors: Niswander Wesley , Wang Wei , Kontson Kimberly
Published: October 2020

There is an increased interest in using wearable inertial measurement units (IMUs) in clinical contexts for the diagnosis and rehabilitation of gait pathologies. Despite this interest, there is a lack of research regarding optimal sensor placement when measuring joint kinematics and few studies which examine functionally relevant motions other than straight level walking. The goal of this clinical measurement research study was to investigate how the location of IMU sensors on the lower body impact the accuracy of IMU-based hip, knee, and ankle angular kinematics. IMUs were placed on 11 different locations on the body to measure lower limb joint angles in seven participants performing the timed-up-and-go (TUG) test. Angles were determined using different combinations of IMUs and the TUG was segmented into different functional movements. Mean bias and root mean square error values were computed using generalized estimating equations comparing IMU-derived angles to a reference optical motion capture system. Bias and RMSE values vary with the sensor position. This effect is partially dependent on the functional movement analyzed and the joint angle measured. However, certain combinations of sensors produce lower bias and RMSE more often than others. The data presented here can inform clinicians and researchers of placement of IMUs on the body that will produce lower error when measuring joint kinematics for multiple functionally relevant motions. Optimization of IMU-based kinematic measurements is important because of increased interest in the use of IMUs to inform diagnose and rehabilitation in clinical settings and at home.
Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder
Authors: Rakhimberdina Zarina , Liu Xin , Murata Tsuyoshi
Published: October 2020

With the advancement of brain imaging techniques and a variety of machine learning methods, significant progress has been made in brain disorder diagnosis, in particular Autism Spectrum Disorder. The development of machine learning models that can differentiate between healthy subjects and patients is of great importance. Recently, graph neural networks have found increasing application in domains where the population’s structure is modeled as a graph. The application of graphs for analyzing brain imaging datasets helps to discover clusters of individuals with a specific diagnosis. However, the choice of the appropriate population graph becomes a challenge in practice, as no systematic way exists for defining it. To solve this problem, we propose a population graph-based multi-model ensemble, which improves the prediction, regardless of the choice of the underlying graph. First, we construct a set of population graphs using different combinations of imaging and phenotypic features and evaluate them using Graph Signal Processing tools. Subsequently, we utilize a neural network architecture to combine multiple graph-based models. The results demonstrate that the proposed model outperforms the state-of-the-art methods on Autism Brain Imaging Data Exchange (ABIDE) dataset.
Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network
Authors: Farooq Misbah , Hussain Fawad , Baloch Naveed Khan , Raja Fawad Riasat , Yu Heejung , Zikria Yousaf Bin
Published: October 2020

Speech emotion recognition (SER) plays a significant role in human–machine interaction. Emotion recognition from speech and its precise classification is a challenging task because a machine is unable to understand its context. For an accurate emotion classification, emotionally relevant features must be extracted from the speech data. Traditionally, handcrafted features were used for emotional classification from speech signals; however, they are not efficient enough to accurately depict the emotional states of the speaker. In this study, the benefits of a deep convolutional neural network (DCNN) for SER are explored. For this purpose, a pretrained network is used to extract features from state-of-the-art speech emotional datasets. Subsequently, a correlation-based feature selection technique is applied to the extracted features to select the most appropriate and discriminative features for SER. For the classification of emotions, we utilize support vector machines, random forests, the k-nearest neighbors algorithm, and neural network classifiers. Experiments are performed for speaker-dependent and speaker-independent SER using four publicly available datasets: the Berlin Dataset of Emotional Speech (Emo-DB), Surrey Audio Visual Expressed Emotion (SAVEE), Interactive Emotional Dyadic Motion Capture (IEMOCAP), and the Ryerson Audio Visual Dataset of Emotional Speech and Song (RAVDESS). Our proposed method achieves an accuracy of 95.10% for Emo-DB, 82.10% for SAVEE, 83.80% for IEMOCAP, and 81.30% for RAVDESS, for speaker-dependent SER experiments. Moreover, our method yields the best results for speaker-independent SER with existing handcrafted features-based SER approaches.
MAC/PHY Comprehensive Visible Light Communication Networks Simulation
Authors: Torres-Zapata Edmundo , Guerra Victor , Rabadan Jose , Luna-Rivera Martin , Perez-Jimenez Rafael
Published: October 2020

In this paper, the effect of channel conditions on the global behavior of a wireless Visible Light Communications (VLC) optical network are studied. It presents a system-level simulator that considers jointly a channel propagation model and the MAC mechanisms to have a realistic description of the network, even in situations where the emitted signal is heavily affected by reflections in any close surface or obstacle. The resulting platform also accurately evaluates both Line-Of-Sight (LOS) and Non-LOS (NLOS) contributions on each node and enables the effective use of Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) schemes as defined by IEEE 802.15.7r1 standard, as well as allows a correct evaluation of lifelike problems such as the effect of hidden nodes. This work shows the necessity of accurately modeling VLC MAC layer performances, taking also into account the physical nature of visible light propagation in indoor scenarios.
Thermographic Inspection of Internal Defects in Steel Structures: Analysis of Signal Processing Techniques in Pulsed Thermography
Authors: Chung Yoonjae , Shrestha Ranjit , Lee Seungju , Kim Wontae
Published: October 2020

This study performed an experimental investigation on pulsed thermography to detect internal defects, the major degradation phenomena in several structures of the secondary systems in nuclear power plants as well as industrial pipelines. The material losses due to wall thinning were simulated by drilling flat-bottomed holes (FBH) on the steel plate. FBH of different sizes in varying depths were considered to evaluate the detection capability of the proposed technique. A short and high energy light pulse was deposited on a sample surface, and an infrared camera was used to analyze the effect of the applied heat flux. The three most established signal processing techniques of thermography, namely thermal signal reconstruction (TSR), pulsed phase thermography (PPT), and principal component thermography (PCT), have been applied to raw thermal images. Then, the performance of each technique was evaluated concerning enhanced defect detectability and signal to noise ratio (SNR). The results revealed that TSR enhanced the defect detectability, detecting the maximum number of defects, PPT provided the highest SNR, especially for the deeper defects, and PCT provided the highest SNR for the shallower defects.
Influence of Data Sampling Frequency on Household Consumption Load Profile Features: A Case Study in Spain
Authors: Hernandez J. C. , Sanchez-Sutil F. , Cano-Ortega A. , Baier C. R.
Published: October 2020

Smart meter (SM) deployment in the residential context provides a vast amount of data of high granularity at the individual household level. In this context, the choice of temporal resolution for describing household load profile features has a crucial impact on the results of any action or assessment. This study presents a methodology that makes two new contributions. Firstly, it proposes periodograms along with autocorrelation and partial autocorrelation analyses and an empirical distribution-based statistical analysis, which are able to describe household consumption profile features with greater accuracy. Secondly, it proposes a framework for data collection in households at a high sampling frequency. This methodology is able to analyze the influence of data granularity on the description of household consumption profile features. Its effectiveness was confirmed in a case study of four households in Spain. The results indicate that high-resolution data should be used to consider the full range of consumption load fluctuations. Nonetheless, the accuracy of these features was found to largely depend on the load profile analyzed. Indeed, in some households, accurate descriptions were obtained with coarse-grained data. In any case, an intermediate data-resolution of 5 s showed feature characterization closer to those of 0.5 s.
Feasibility of Smartphone-Based Badminton Footwork Performance Assessment System
Authors: Chiu Ya-Lan , Tsai Chia-Liang , Sung Wen-Hsu , Tsai Yi-Ju
Published: October 2020

Footwork is the most fundamental skill in badminton, involving the ability of acceleration or deceleration and changing directions on the court, which is related to accurate shots and better game performance. The footwork performance in-field is commonly assessed using the total finished time, but does not provide any information in each direction. With the higher usage of the smartphones, utilizing their built-in inertial sensors to assess footwork performance in-field might be possible by providing information about body acceleration in each direction. Therefore, the purpose of this study was to evaluate the feasibility of a smartphone-based measurement system on badminton six-point footwork. The body acceleration during the six-point footwork was recorded using a smartphone fixed at the belly button and a self-developed application in thirty badminton players. The mean and maximum of the acceleration resultant for each direction of the footwork were calculated. The participants were classified into either the faster or slower group based on the finished duration of footwork. Badminton players who finished the footwork faster demonstrated a greater mean and maximum acceleration compared to those who finished slower in most directions except for the frontcourt directions. The current study found that using a smartphone’s built-in accelerometer to evaluate badminton footwork is feasible.
Urban Agriculture Oriented Community Planning and Spatial Modeling in Chinese Cities
Authors: Yang Yuanchuan , Zhang Yukun , Huang Si
Published: October 2020

There are three main contradictions associated with urbanization: population growth and food demand, urban sprawl and production space, and production patterns and energy consumption. The pressure of urbanization has led to a mismatch between production and consumption in space and pattern. The current status and trends in urban food system planning illustrated that sustainable consumption and production were closely related to their spatial layout. The paper took a simulated sustainable food system in urban community as an example. It formulated a rational spatial planning strategy based on urban agriculture of different scales, technologies, and efficiencies, quantified productive community metrics to accommodate different scales of urban space, and wrote algorithms to develop a spatial model of a meta-cellular automaton that coupled consumer housing with productive surfaces. Finally, by comparing and optimizing the spatial patterns of multiple solutions, urban agriculture-oriented urban community planning was developed. The model was only a preliminary attempt at food system planning, but it explored the distribution patterns of housing and agriculture within a given territory in three steps: theoretical strategy-morphological simulation-planning design while meeting urban and productivity indicators. It demonstrated the feasibility of productive spaces and explored a planning strategy for urban communities that supports sustainable consumption and production.
Sustainable Production Policy Impact on Palm Oil Firms’ Performance: Empirical Analysis from Indonesia
Authors: Kunene Noxolo , Chung Yessica C.Y.
Published: October 2020

Sustainable production is a key element of sustainable development. The concept was first introduced in the United Nations Rio Earth Summit in 1992 and has become an important item on the management of industries. In conjunction, the government of Indonesia introduced the Indonesian Sustainable Palm Oil (ISPO) policy in 2011 to adhere to international sustainability standards of Sustainable Palm Oil and of reducing emissions from deforestation and forest degradation (REDD+). This study investigates the impact of ISPO policy on palm oil firms’ performance. Using a sample of 409 palm oil firms of the Indonesian palm oil sector for the years 2010 and 2015, we employed a regression discontinuity (RD) with a difference-in-differences approach to explore the effect of the policy on firms’ performance. The RD results show that the introduction of the policy significantly reduced large firms’ profit by IDR 75m (equivalent to USD 5250); the negative effect of the policy increased with firm size. Furthermore, there was a significant reduction in performance for firms that promptly purchased land before the policy’s ban on land expansion. These findings suggest that a punitive sustainable production policy does not sustain the palm oil sector. Nevertheless, large companies that complied with international sustainability measures ahead of the introduction of the domestic policy benefited.
Variability of Cosmogenic 35S in Rain—Resulting Implications for the Use of Radiosulfur as Natural Groundwater Residence Time Tracer
Authors: Schubert Michael , Knöller Kay , Tegen Ina , Terzi Lucrezia
Published: October 2020

Information about groundwater residence times is essential for sustainable groundwater management. Naturally occurring radionuclides are suitable tools for related investigations. While the applicability of several long-lived radionuclides has been demonstrated for the investigation of long residence times (i.e., years, decades, centuries and more), studies that focus on sub-yearly residence times are only scarcely discussed in the literature. This shortage is mainly due to the rather small number of radionuclides that are generally suitable for the purpose and show at the same time adequately short half-lives. A promising innovative approach in this regard applies cosmogenic radiosulfur (35S). 35S is continuously produced in the stratosphere from where it is conveyed to the troposphere or lower atmosphere and finally transferred with the rain to the groundwater. As soon as the meteoric water enters the subsurface, its 35S activity decreases with an 87.4 day half-life, making 35S a suitable time tracer for investigating sub-yearly groundwater ages. However, since precipitation shows a varying 35S activity during the year, setting up a reliable 35S input function is required for sound data evaluation. That calls for (i) an investigation of the long-term variation of the 35S activity in the rain, (ii) the identification of the associated drivers and (iii) an approach for setting up a 35S input function based on easily attainable proxies. The paper discusses 35S activities in the rain recorded over a 12-month period, identifies natural and anthropogenic influences, and suggests an approach for setting up a 35S input function applying 7Be as a proxy.
Экстрактовые масла Acacia dealbata Link. для элитной парфюмерной продукции
Authors:   Research Institute of Agriculture of Crimea, Grunina E.N. , Belova I.V. ,   Research Institute of Agriculture of Crimea, Glumova N.V. ,   Academy of Bioresources and Environmental Management (Academic Unit) of V. I. Vernadsky Crimean Federal University, Budanova Yu.S. ,   Academy of Bioresources and Environmental Management (Academic Unit) of V. I. Vernadsky Crimean Federal University
Published: October 2020

The aim of this survey was to find the best way for the extraction of essential oils from the Acacia dealbata Link. floral raw materials, as well as discover samples of elite perfumery products of various brands that use this aroma in perfumery compositions. Two methods of extraction with a volatile hydrocarbon solvent were used, namely, 1) Soxhlet extraction; 2) extraction of raw materials by the method of triple infusion in a solvent at a low positive temperature (+ 3 °C). To obtain absolute, concrete was extracted in a classical manner. In the first variant, the yield of concrete was 1.46 % of the weight of raw materials; in the second – 1.18 % but its aroma was more delicate. The content of absolute in the samples was 28.4 % and 24.6 % of the concrete mass, respectively. Famous brands using mimosa fragrance are L`Artisan Parfumeur (Mimosa Pour Moi), Jo Malone (Mimosa & Cardamom), Dolce & Gabbana (Velvet Mimosa Bloom), Calvin Klein (Eternity Summer), Kenzo (Summer by Kenzo), etc.
Dynamics of decomposition of residual amounts of fenoxycarb in apple fruits
Authors:   North Caucasian Regional Research Institute of Horticulture and Viticulture, Didenko N.A. , Podgornaya M.E. ,   North Caucasian Regional Research Institute of Horticulture and Viticulture
Published: October 2020

The possibility of determining the residual amount of the insecticide “Insegar”, water-soluble granules (250 g/kg fenoxycarb) by high performance liquid chromatography is shown. The dynamics of the decomposition of the insecticide in the fruits of the apple tree is considered. On the 20th day, after double use of “Insegar” (consumption rate – 0.6 kg/ha), the fenoxycarb content was 0.42–0.31 mg/kg.
Creation of a pheromone preparation for the control of Tenebrio molitor – a pest of grain and grain products
Authors:   Ufa Institute of Chemistry (Academic Unit) of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ishmuratova N.M. , Yakovleva M.P. ,   Ufa Institute of Chemistry (Academic Unit) of the Ufa Federal Research Centre of the Russian Academy of Sciences, Vydrina V.A. ,   Ufa Institute of Chemistry (Academic Unit) of the Ufa Federal Research Centre of the Russian Academy of Sciences, Myasoedova Yu.V. ,   Ufa Institute of Chemistry (Academic Unit) of the Ufa Federal Research Centre of the Russian Academy of Sciences, Garifullina L.R. ,   Ufa Institute of Chemistry (Academic Unit) of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ishmuratov G.Yu. ,   Ufa Institute of Chemistry (Academic Unit) of the Ufa Federal Research Centre of the Russian Academy of Sciences
Published: October 2020

An effective scheme for the synthesis of optically active sex pheromone of the yellow mealmoth has been developed and its preparative form has been created.
Morphometric characteristics of fruits of cenopopulation of Cornus mas L. distributed in different zones of the Crimea
Authors:   Research Institute of Agriculture of Crimea, Kashirina N.A.
Published: October 2020

The article provides the reader with some data on the results of two-year studies of basic characteristics of fruits of Cornus mas L. cenopopulation distributed in different regions of the Crimean Peninsula. The most promising forms that are of interest for breeding and food purposes have been identified.
The effect of potato seed material initial infection by common scab on the degree of silver scab development on tubers during storage
Authors:   RUE “Institute of Plant Protection”, Konopatskaya M.V.
Published: October 2020

It is determined that over a long storage period there is a moderate inverse correlation (correlation coefficient amount to -0,63) between tubers infection by silver scab and their coating by common scab ulcers. The revealed pattern may indicate the antagonistic nature of the relationship between the disease agents.
Productivity of Hypericum perforatum L. in culture conditions in the Moscow Region
Authors:   All-Russian Scientific Research Institute of Medicinal and Aromatic Plants, Korotkikh I.N.
Published: October 2020

The aim of this study was to evaluate the productivity of Hypericum perforatum L. raw materials and seeds in culture conditions in the Moscow Region, as well as to predict the yield of the aforementioned indicators. Saint John’s wort variety ‘Solnechny’ served as the object of the research. As a result, we found that at the second year of vegetation, the predicted yield of the air-dried mass in the Moscow Region, taking into account the heterogeneity of the stalk, was 601 kg/ha; by the fourth year, it increased to 1079 kg/ha. The seed yield varied slightly and amounted to 80–120 kg/ha.
Quality of Crambe abyssinica Hochst. oil cultivated in the Crimea
Authors:   Research Institute of Agriculture of Crimea, Kulinich R.A.
Published: October 2020

The research was aimed at assessing oil quality obtained from Crambe abyssinica Hochst. cultivated in the Crimea. In our studies, we used variety ‘Polet’. It has been included in the State Register of Breeding Achievements since 2012 and is recommended for all areas of this crop production. The content of crude protein in the seeds of Crambe abyssinica was 28.0%; fiber – 18.7%, ash – 6.0%, nitrogen-free extractive substances – 3.5%. In 2016, the fat content in seeds (earlier planting dates such as the second decade of March) amounted to 33.63%; the third decade of March – 33.83%; the first decade of April – 29.73%. The content of erucic acid, depending on the planting date, in the Crambe abyssinica Hochst. oil varied from 56.47 to 60.05%; linoleic – from 7.90 to 8.12%; linolenic – from 4.67 to 5.33; oleic – from 15.75 to 17.32; eicosene – from 3.02 to 4.85%; behenic – from 2.03 to 2.15%.
State of knowledge and research prospects of Iva xanthifolia Nutt. – alien species in the Crimean flora
Authors:   Branch of FSBI ", Omelyanenko T.Z. ,   All-Russian Center for Plant Quarantine",   (VNIIKR) in the Republic of Crimea, Bagrikova N.A. ,   The Labour Red Banner Order Nikitsky Botanical Gardens – National Scientific Center of the Russian Academy of Sciences, Kulakov V.G. ,   FSBI "All-Russian Center for Plant Quarantine" (VNIIKR), Kulakova Yu.Yu. ,   FSBI "All-Russian Center for Plant Quarantine" (VNIIKR)
Published: October 2020

The analysis of literature references on the history of dispersal of invasive plant Iva xanthifolia Nutt., as well as results of our own field observations in the Crimean Peninsula, are presented. Iva xanthifolia is invasive species in 10 European countries and in 46 regions of the Russian Federation. Study of herbarium specimens (YALT, SIMF) and our field studies have shown that the species is now widely distributed along embankments of highways and railways, along settlements and towns, in weedy and disturbed areas in the Republic of Crimea. The negative role of the species for the export of Russian grain in other countries is noted.
Improvement the technology of sunflower cultivation to increase the yield and oil collection
Authors:   Research Institute of Agriculture of Crimea, Kostenkova E.V. , Bushnev A.S. ,   Federal scientific center “V.S. Pustovoit All-Russian Research Institute of Oil crops”
Published: October 2020

The research results indicate the high adaptive potential of hybrids and varieties of sunflower of domestic breeding in the arid zone of the Crimea. The optimized cultivation technology under contrasting weather conditions, taking into account optimal sowing period and plant density, allows you to obtain yield up to 1.71 t/ha for hybrids; up to 1.92 t/ha for confectionery varieties with an oil content of seeds up to 45.5 %.
COVID: We Can Prevent Hospitalizations and Save Lives with Information that is Already Published
Authors: Hausman-Cohen Sharon
Published: October 2020

In the face of the current pandemic, I believe that by using already published scientific studies, we can decrease the impact, negative health effects of COVID and dramatically decrease Coronavirus related hospitalization rates. I believe we can also change the perception and reality of coronavirus into a treatable illness, generally managed in an outpatient setting.
Magistratura y prensa
Authors: Sánchez-Palacios Paiva Manuel
Published: October 2020

Partiendo del concepto de libertad se elabora el de libertad de prensa, deteniéndose aquí a presentar una breve historia de la misma, desde las épocas más remotas hasta las más recientes, tanto en el ámbito mundial como en el peruano. Se hace referencia a los límites de la libertad de prensa propuestos por Jacques Bourquin así como a la misión que debe cumplir la prensa. Luego de ello, se trata el tema de la prensa y el Poder Judicial peruano, estableciéndose que una prensa libre y un Poder Judicial independiente son pilares que sustentan la democracia; seguidamente se hace referencia a dos casos que han sido tratados ampliamente por la prensa en el Perú.

Finalmente, se concluye enfatizando la preeminencia de las libertades de expresión y de información frente a cualquier derecho
Constitución, Tribunal Constitucional y Derecho Penal Nacional
Authors: San Martín Castro César
Published: October 2020

En el marco del Estado de derecho, el sistema jurídico-penal peruano siempre debe interpretarse a la luz de la Carta Constitucional vigente, pues allí emergen los contenidos axiológicos de las normas punitivas que regulan los procesos comunicativos de la sociedad peruana a fin de no generar estados de indefensión, así como tampoco ámbitos de impunidad. En el presente trabajo, el brillante autor nacional expone de manera preclara los principios constitucionales del derecho penal y la manera en que la Constitución permite una lectura garantista de las normas punitivas.
¿Es el juez realmente un poeta? Algunas palabras en voz alta sobre la reciente antología «Jueces en la literatura chilena» de Aristóteles España
Authors: Coaguila Valdivia Jaime Francisco
Published: October 2020

A partir de la antología «Jueces en la literatura chilena» (2006), del escritor Aristóteles España, se  plantea  la  pregunta  de  si  es  posible  la  construcción de un modelo de «juez  literario»  dentro  del  contexto  latinoamericano, para a continuación examinar la imaginación legal y narrativas personales presentes en la literatura escrita por jueces chilenos, haciendo  un paralelo con el magistrado y poeta peruano Enrique López Albújar y concluir con la propuesta  de una  poética  judicial  basada  en la alteridad
Ética y gestión pública
Authors: Cárdenas Krenz Ronald
Published: October 2020

El artículo presenta un panorama amplio sobre la función pública, su importancia, acceso a ella, dificultades que viene atravesando (sobre todo con la corrupción), y sobre los sinsabores que a diario sufren los trabajadores públicos en el desempeño de sus funciones.

Se comentan, también, los códigos de ética que varias instituciones han venido elaborando como una forma de enfrentar el problema de la corrupción; se precisa además que la legitimidad de las instituciones no reposa solamente en sus normas, sino en la aplicación efectiva de las mismas.
Centralidad y permanencia del pensamiento geopolítico en la historia reciente de Sudamérica (1944-2015)
Authors: Fornillo Bruno
Published: October 2020

La disciplina geopolítica posee una amplia tradición en Sudamérica pero no ha sido correlativamente analizada. A raíz de ello, brindamos un panorama general acerca de su pujante consolidación durante la segunda posguerra mundial, sus posteriores derivas centrales focalizando en algunos países (Argentina, Bolivia, Brasil, Chile), y repasamos sus perspectivas actuales, dominadas por la expansión de una “geopolítica crítica”. Como punto nodal, nos dedicamos a consignar los proyectos y los efectos que la geopolítica supo tener en la orientación política de la sociedad civil y, fundamentalmente, en los estados subcontinentales, bajo la hipótesis de que su incidencia fue realmente significativa. Si en un principio la disciplina estuvo centralmente adosada a la esfera “militar”, hoy día se ha pluralizado profundamente. Soportamos nuestra investigación en un amplio corpus de escritos sobre la problemática, que entendemos ha sido prácticamente inexplorado hasta aquí.
Las asociaciones femeninas y la emergencia de un Estado Social: la protección a la maternidad y a la infancia (Buenos Aires 1920-1940)
Authors: Tossounian Cecilia
Published: October 2020

Este artículo aborda el movimiento asociacionista femenino entre 1920 y 1940 en Buenos Aires y su relación con el surgimiento de un Estado social. Subsidiadas por el Estado, las asociaciones lideradas por las damas de la elite proveyeron de una importante cantidad de servicios de asistencia social para las madres, mujeres y niños y tuvieron una fuerte impronta en el diseño de políticas sociales. Si la historiografía concuerda en señalar que para 1930 la importancia del movimiento de mujeres comenzó a declinar, siendo reemplazadas por los servicios de asistencia social públicos, este artículo pretende problematizar esta conclusión a través del análisis de tres de las asociaciones más importantes del período, dando cuenta de cómo éstas, convertidas en la faz maternal del Estado, mantuvieron un rol central en la provisión de asistencia social hasta bien entrada la década del treinta, contribuyendo así a que el Estado no se transformara en una ‘colosal máquina burocrática’.
Analisis Korelasi Parameter Kualitas Perairan Kolong Pascatambang Timah dengan Umur Berbeda
Authors: Andri Kurniawan  , Eva Prasetiyono  , Denny Syaputra
Published: October 2020

Penelitian ini bertujuan untuk menganalisis kualitas dan korelasi antara sejumlah parameter kualitas perairan di kolong pascatambang timah dengan umur berbeda untuk pengembangan akuakultur. Pengukuran kualitas air dilakukan pada kolong berumur < 1 tahun, umur 20-25 tahun, dan umur > 50 tahun. Hasil penelitian menunjukkan bahwa kolong berumur < 1 tahun bersifat asam (pH 3,71) dengan Eh 0.16 V, DO 5.20 ppm, COD 10.173 ppm, TSS 3.667 ppm, konduktivitas143.75 Us.cm-1, total nitrogen 0.069 ppm, dan total fosfat 0.019 ppm. Karaktersitik perairan kolong berumur > 20 tahun mengalami perbaikan kualitas, khususnya pH dan DO. Hasil pengukuran menunjukkan pH 6.98-7.09, DO 7.07-7.20 ppm, COD 13.900-15.400 ppm, TDS 38.93-81.63 ppm, TSS 6.00 ppm, Eh 0.01-0.02 V, konduktivitas 58.40-122.45 Us.cm-1, total nitrogen 0.021-0.041 ppm, dan total fosfat 0.013-0.021 ppm. Kualitas perairan di kolong pascatambang timah, khususnya di kolong berumur < 1 tahun cenderung berkualitas rendah, meskipun demikian sejumlah ikan ditemukan mampu hidup di kolong tersebut seperti ikan gabus (Channa sp.), sepat rawa (‎Trichogaster sp.), kemuring (Puntius sp.), nila (Oreochromis sp.), tempala (Betta sp.), merak atau cere (Gambusia sp.), seluang (Rasbora sp.), betok (Anabas sp.), selinca (Belontia sp.), berenet atau eyespot rasbora (Brevibora sp.), mata tiga (ikan padi atau javanese ricefish) (Oryzias sp.), dan kepala timah (Aplocheilus sp.). Hal ini menunjukkan bahwa beberapa spesies ikan memiliki kemampuan bertahan hidup dan adaptasi yang baik di lingkungan berkualitas rendah. Sementara itu, ikan-ikan tersebut juga ditemukan di sejumlah kolong yang berumur > 20 tahun. Hal ini menunjukkan bahwa spesies-spesies tersebut memiliki rentang kualitas perairan yang luas untuk kehidupannya serta berpotensi untuk dikembangkan sebagai komoditas akuakultur ataupun organisme suksesor di perairan kolong pascatambang timah.
Drug-induced long qt syndrome
Authors: Golovina G. A. , Zaphiraki K. V. , Kosmacheva E. D.
Published: October 2020

In this review drug-induced long QT interval syndrome is described. The authors discuss approaches for the prevention, diagnosis, and treatment of this potentially fatal complication.