bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated educational projects as a methods of human capital development in the knowledge economy
Authors: Budrin A , Soloveva D , Bylugina A , Shatokhina D , Vorobeva A 
Published: October 2020

Abstract
Human capital is linked to intellectual capital, so professional education is an important element in the process of training future professionals ready to develop innovations. The synergy of university education and work-based learning is necessary for the development of human capital. The creation of integrated educational projects takes into account this feature. To study the impact of these projects on human capital development, the authors conducted a four-stage research. According to the results of the study, universities want to realize their scientific potential and prepare in-demand young professionals, businesses need to hire experienced professionals focused on innovation. The needs of a young specialist are obtaining relevant knowledge and practical skills for employment. Integrated educational projects bring together numerous audiences, contribute to meeting their needs by connecting academic education, practice-oriented knowledge and practical skills through various learning formats. These projects contribute to the development of human capital, as the participants-students of these projects are more prepared for professional activities. Universities with the help of such projects develop a partner network, increase their own attractiveness and the overall level of knowledge of students. Business companies receive young professionals with practical skills and developed creative thinking.
Institutional-functional approach to the modelling of foreign economic activity
Authors: Skripnuk D F 
Published: October 2020

Abstract
The article presents an analysis of the development of a foreign economic strategy as it affects the Arctic region. The foreign economic development strategy of the Arctic regions is embodied in their modelling on the basis of the institutional environment and the Road Map for the Development of the Foreign Economic Activity of the Region. Six areas of the institutional environment are studied: production and economic, innovative and technological, demographic, social, political and spiritual. The methodology for building the model includes a number of steps: setting goals and objectives; environmental analysis of the Arctic region; development of a model according to the levels of the Arctic space; empirical verification of the model; development of a Road Map; generalization and formulation of conclusions. An empirical verification of the model is carried out on the example of the Yamal-Nenets Autonomous Okrug. The model of foreign economic development of the Yamal-Nenets Autonomous Okrug is represented by a system of six equations for the number of six areas of the institutional environment. The system of six equations is a system of interdependent econometric equations, each of which is an ADL model.
Achieving Synergy in the Russian Arctic: a Programme-Objective Approach
Authors: Didenko N I , Sheykina A 
Published: October 2020

Abstract
The sustainable development of Russian Arctic requires new approaches to the planning and organisation of government initiatives. In this article, we discuss the Arctic region in terms of a system of interconnected elements (subareas), each having its specific development goals and features. The subareas of the Russian Arctic are classified into 7 types according their characteristics. A synergistic basis for sustainable development is formed by the combination of subareas’ development goals into a comprehensive programme using a programme-objective method. A development programme for the Arctic subareas based on a tree structure is advanced and possible development goals identified. It is concluded that a synergistic effect can be created by connecting Arctic subareas with each other in order to facilitate mutually beneficial interaction. A classification of the Arctic region according to its analytical decomposition in accordance with its specific functions and features is proposed. Types of subareas are: a) main towns – urban areas having a population of at least 1000 people having various infrastructure, buildings and structures; b) settlements; c) mineral and fossil fuel deposits; d) recreational areas and tourist attractions; e) fishing and reindeer herding areas; f) Northern Sea Route (NSR); g) objects of civil protection.
Ways of sociotechnical integration of scientists and volunteers in citizen science
Authors: Bylieva D S , Lobatyuk V V , Fedyukovsky A A 
Published: October 2020

Abstract
The given research is directed on the analysis of the scientist and volunteer’s relations at realization of joint projects of the citizen science, which have recently been developed increasingly due to information-communication technologies introduction in the process. The authors conducted a substantial analysis of more than 200 projects; thus, special attention is paid to the projects presented on Zooniverse site. The site serves as the main base for the paper’s authors since it is the world’s largest and most popular platform for constructing communication of scientists and volunteers. The continuous research covers the period from May 24, 2019 to September 24, 2019, showing what changes occurred to the projects, specifying in speed of their ending, progress of the volunteers’ involving, the most popular themes of research, etc. The authors generate the cloud of citizen science’s objectives from scientists and volunteers, generalizing motivation and objectives of the given interaction. The perspective opportunities of the citizen science are noted, allowing solving not only research problems, but also the contemporary global problems.
Digitalization of ecological education: trends and direction of development
Authors: Grishaeva Yu M , Glazachev S N , Gagarin A V , Spirin I V , Wagner I V 
Published: October 2020

Abstract
The article presents the results of the analysis of the problem of digitalization of ed-ucation. Interrelations of digitalization of ecological education with noospheric essence of modern civilization and realization of the concept of sustainable development are established. Possibilities of use of developments of the Russian and foreign scientists and teachers are con-sidered. The importance and main directions of development of digitalization of environmental education are shown. Attention is drawn to the need for digitalization of environmental educa-tion in the preparation of not only environmental specialists, but also specialists in other areas of training. Digitalization of education should be aimed at the formation of eco-cultural compe-tencies. The article presents the results of an experimental study of the use of modern IT by various participants of the educational process. The studies were conducted by questionnaire method and allow to indicate the current directions of further development of digitalization of education, including environmental education.
Innovative methods in forensic science: the science of forensic dermatoglyphics
Authors: Kosarev Sergey , Mokhorov Dmitry , Mokhorova Anna 
Published: October 2020

Abstract
Forensic dermatoglyphics describes the study of the features and characteristics of the prints and volar surfaces of the hands and feet, as well as the flexors, functional folds, and skin of the person as a whole. It also studies the traces of them found on various items during investigative and search activities in order to determine the character features and body specifics using genetic, national, and geographical traits. Serving as a background for this paper is the fact that in 2016 dermatoglyphics was deemed a pseudoscience. Due to this, it was decided to study the current problems of dermatoglyphics, particularly forensic dermatoglyphics, using proven methods of scientific research as the basis. These include the necessary differentiation of scientific knowledge in combination with its necessary integration with other sciences. At the same time, the method of deduction allowed us to draw conclusions about the unfoundedness of forensic dermatoglyphics as a field of science, at least in its current state. This paper relied on data obtained by various authors. However, forensic dermatoglyphic research is currently being carried out in small groups of test subjects which cannot be a reliable base for scientific statistics; it was concluded that further research focused on developing ways of using dermatoglyphic data in court and investigative practices can only be carried out on a significant empirical basis by creative teams which are made up of representatives of anthropology, doctors of various specialties, primarily, dermatologists, and criminal lawyers. Only this approach will help solve the question in the future about whether or not forensic dermatoglyphics can become a field of science.
Prospects for the legalization of self-employment in the context of innovative development
Authors: Bazzhina Viktoria , Dragomirova Elizaveta , Musaeva Ainur , Lebed Veronika 
Published: October 2020

Abstract
Currently, a difficult stage of institutionalization of self-employment in the Russian economy is taking place. The authors conducted a study of the ways of legalizing the self-employed in conditions of the development of digital technologies and assessed its role in innovative development. Self-employment, according to the authors, acts as a way of adaptation of employed and unemployed to changing socio-technical systems in the labor market. Using historical, statistical and regulatory analysis, the authors investigated the problem of determining self-employment and ways to legalize it in Russia and other countries. The article explores the relationship between its distribution and innovative development by means of the analysis of legislation regulating self-employment in different countries. Using the analysis of official statistics, the article reveals a tendency towards an increase in the number of citizens wishing to legalize their self-employment status. The article studies the legislative pilot related to the legalization of self-employment in Russia, assesses the prospects for the expansion of this pilot in terms of the appropriateness of the proposed measures. According to the professional structure, based on statistical data and expert estimates, a low proportion of people receiving professional income from intellectual work was identified and the causes of this phenomenon were determined.
Mechanical and Thermal Characterization of Short Salago Fiber (Wikstroemia spp.) Reinforced Epoxy Resin Composites
Authors: Lopena J D , Millare J C 
Published: October 2020

Abstract
Natural fibers are used as alternative reinforcements in polymer composites due to their biodegradability, low density and cost. Applications of natural fiber reinforced polymers include aerospace industry, automotive parts and marine vessels. In the Philippines, one source of natural fiber is salago, which is a type of shrub with tough bark used to produce high quality paper products. In this research work, short salago fibers were reinforced in epoxy resin in random orientation. The fibers were treated with 5 wt.% NaOH solution. The fiber loading considered in the study are 5 wt.%, 10 wt.%, 15 wt.% and 20 wt.%. Mechanical properties of neat epoxy and salago fiber composites were characterized through tensile, flexural and impact tests. Thermogravimetric analysis was used to evaluate the thermal stability of the specimens. Results for 20 wt. % fiber loading show significant improvements on tensile modulus (83.5 %) and impact strength (26.4 %) as compared to neat epoxy. However, decrease on tensile and flexural strengths were observed as the fiber content increases. Nonetheless, noticeable improvement on thermal stability was obtained for the composite with 10 wt.% fiber content.
Real-time spatially resolved determination of twist angle in transition metal dichalcogenide heterobilayers
Authors: Psilodimitrakopoulos Sotiris , Mouchliadis Leonidas , Maragkakis George Miltos , Kourmoulakis George , Lemonis Andreas , Kioseoglou George , Stratakis Emmanuel 
Published: October 2020

Abstract
Two-dimensional (2D) transition metal dichalcogenides (TMDs) offer unique optoelectronic capabilities due to their direct bandgap semiconductor nature in monolayer form. Atomically thin TMDs can be assembled in vertical stacks that are held together by van der Waals forces, enabling interlayer coupling between the layers. This creates new physical properties that depend on the relative orientation (twist angle) between the TMD monolayers. Accurate and fast measurement of the twist angle is therefore of utmost importance for characterizing a 2D TMD heterostructure. Here, we present a nonlinear imaging technique based on second harmonic generation (SHG) microscopy, that enables instantaneous mapping of the twist angle between the two stacked TMD monolayers. By using a polarization beam splitter in the detection path and two detectors measuring two orthogonal SHG polarization components, we acquire with a single-shot measurement the twist angle in a WS2/MoS2 heterobilayer, in real time. Remarkably, the twist angle is measured directly in the overlapping region based on a SHG interference model. The demonstrated technique offers a powerful tool for the rapid, all-optical and spatially resolved twist angle determination in large-area 2D TMD heterostructures.
Role of mesoporous silica nanoparticles for the drug delivery applications
Authors: Murugan Baranya , Sagadevan Suresh , J Anita Lett , Fatimah Is , Fatema Kamrun Nahar , Oh Won-Chun , Mohammad Faruq , Johan Mohd Rafie 
Published: October 2020

Abstract
The mesoporous silica nanoparticles (MSNs), because of the synthesis, ease of surface functionalization, tunable pore size, large surface area, and biocompatibility, are being useful in many of the biomedical applications like drug delivery, theranostics, stem cell research, etc. It has been a potent nanocarrier for many different therapeutic agents, i.e., the surface functionalization of silica nanoparticles (SNs) with chemical agents, polymers, and supramolecular moieties enable the efficient delivery of therapeutic agents in a highly controlled manner. Also, the toxicity, biosafety, and in vivo efficiency involving biodistribution, pharmacokinetics, biodegradation, and excretion of MSNs play an important role in its involvement in the clinical applications. A coherence between chemistry and biological sciences extends its opportunities to a wide range in the field of nanomedicine such as smart drug delivery systems, functionalization and gating approach, controlled drug delivery systems, diagnostic and targeted theragnostic approach etc. Thus, taking advantage of the inbuilt properties of the MSNs applicable to the biomedical sector, the present review describes a panorama on the SNs which are presently used for the development of theragnostic probes and advanced drug delivery platforms.
Feasible fabrication of durable superhydrophobic SiO2 coatings with translucency and self-cleaning performance
Authors: Wang Chenxiang , Tian Feng , Zhang Xuefen 
Published: October 2020

Abstract
In this work, a versatile strategy was proposed to fabricate translucent superhydrophobic coatings by spraying the suspension of modified SiO2/polydimethylsiloxane (PDMS) on various substrates. The wettability can be adjusted by changing the mass ratio of modified SiO2 nanoparticles in the suspension. By optimizing the parameters in the spraying process, a superhydrophobic surface with a water contact angle of 164.1 ± 3.4° and a sliding angle of 4.2 ± 0.4° was achieved. As prepared translucent superhydrophobic SiO2/PDMS coatings show good mechanical durability, chemical stability, and self-cleaning performances.
Preparation, characterization, and electrochemical properties of KOH-activated carbon from cassava root
Authors: Chaisit Suphawi , Chanlek Narong , Khajonrit Jessada , Sichumsaeng Thongsuk , Maensiri Santi 
Published: October 2020

AbstractThis work reports the electrochemical properties of activated carbon prepared from cassava starch activated using KOH. The effect of the impregnation ratios by weight on the surface area and pore structure of the prepared carbon was characterized by N2adsorption-desorption techniques. By increasing the impregnation ratio by weight from 1:1 to 1:5, the specific surface area increased from 1049 to 1350 m2g−1and mean pore diameter also increased from 1.89 to 2.15 nm, respectively. The decrease of mean pore diameter enhanced the specific capacitance value. The carbon electrode with the impregnation ratio of 1:1 reached the maximum specific capacitance of 175 ± 12 F g−1at the current density of 2 A g−1due to the smaller mean pore size. Moreover, the specific capacitance retained about 98% after 1000 cycles. The excellent electrochemical performance of activated carbon prepared from cassava starch could be considered as an electroactive material for supercapacitors.
Textile-integrated polymer optical fibers for healthcare and medical applications
Authors: Yamada Yusuke 
Published: October 2020

AbstractWith ever growing interest in far-reaching solutions for pervasive healthcare and medicine, polymer optical fibers have been rendered into textile forms. Having both fiber-optic functionalities and traditional fabric-like comfort, textile-integrated polymer optical fibers have been advocated to remove the technical barriers for long-term uninterrupted health monitoring and treatment. In this context, this paper spotlights and reviews the recently developed textile-integrated polymer optical fibers in conjunction with fabrication techniques, applications in long-term continuous health monitoring and treatment, and future perspectives in the vision of mobile health (mHealth), as well as the introductory basics of polymer optical fibers. It is designed to serve as a topical guidepost for scientists and engineers on this highly interdisciplinary and rapidly growing topic.
Critical review on where CRISPR meets molecular diagnostics
Authors: Lau Anson , Ren Carolyn , Lee Luke P 
Published: October 2020

Abstract
Simple yet powerful clustered regularly-interspaced short palindromic repeats (CRISPR) technology has led to the advent of numerous developments in life sciences, biotechnology, therapeutics, and molecular diagnostics, enabled by gene editing capability. By exploiting the CRISPR-Cas system’s nucleic acid sequence detection abilities, CRISPR-based molecular diagnostics have been developed. Here, we review the development of rapid, sensitive, and inexpensive CRISPR-based molecular diagnostics. We introduce the transition of CRISPR technology to precision molecular diagnostic devices from tube to device. Next, we discuss the various nucleic acid (NA) detection methods by CRISPR. We address the importance of significant sample preparation steps for a future sample-to-answer solution, which is lacking in current CRISPR-based molecular diagnostic technology. Lastly, we discuss the extension of CRISPR-based molecular diagnostics to various critical applications. We envision CRISPR technology holds great promise for widespread use in precision NA detection applications after particular technical challenges are overcome.
Rationale and Design of the Genotype-Blinded Trial of Torasemide for the Treatment of Hypertension (BHF UMOD)
Authors: McCallum Linsay , Brooksbank Katriona , McConnachie Alex , Aman Alisha , Lip Stefanie , Dawson Jesse , MacIntyre Iain M , MacDonald Thomas M , Webb David J , Padmanabhan Sandosh 
Published: October 2020

Abstract

BACKGROUND
Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) near the uromodulin gene (UMOD) affecting uromodulin excretion and blood pressure (BP). Uromodulin is almost exclusively expressed in the thick ascending limb (TAL) of the loop of Henle and its effect on BP appears to be mediated via the TAL sodium transporter, NKCC2. Loop-diuretics block NKCC2 but are not commonly used in hypertension management. Volume overload is one of the primary drivers for uncontrolled hypertension, so targeting loop-diuretics to individuals who are more likely to respond to this drug class, using the UMOD genotype, could be an efficient precision medicine strategy.

METHODS
The BHF UMOD Trial is a genotype-blinded, multicenter trial comparing BP response to torasemide between individuals possessing the AA genotype of the SNP rs13333226 and those possessing the G allele. 240 participants (≥18 years) with uncontrolled BP, on ≥1 antihypertensive agent for ≥3 months, will receive treatment with Torasemide, 5 mg daily for 16 weeks. Uncontrolled BP is average home systolic BP (SBP) &gt;135 mmHg and/or diastolic BP &gt;85 mmHg. The primary outcome is the change in 24-hour ambulatory SBP area under the curve between baseline and end of treatment. Sample size was calculated to detect a 4 mmHg difference between groups at 90% power. Approval by West of Scotland Research Ethics Committee 5 (16/WS/0160).

RESULTS
The study should conclude August 2021.

CONCLUSIONS
If our hypothesis is confirmed, a genotype-based treatment strategy for loop diuretics would help reduce the burden of uncontrolled hypertension.

CLINICAL TRIALS REGISTRATION
https://clinicaltrials.gov/ct2/show/NCT03354897.
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Authors: Zhu Yan , Li Fuyi , Xiang Dongxu , Akutsu Tatsuya , Song Jiangning , Jia Cangzhi 
Published: October 2020

AbstractA promoter is a region in the DNA sequence that defines where the transcription of a gene by RNA polymerase initiates, which is typically located proximal to the transcription start site (TSS). How to correctly identify the gene TSS and the core promoter is essential for our understanding of the transcriptional regulation of genes. As a complement to conventional experimental methods, computational techniques with easy-to-use platforms as essential bioinformatics tools can be effectively applied to annotate the functions and physiological roles of promoters. In this work, we propose a deep learning-based method termed Depicter (Deep learning for predicting promoter), for identifying three specific types of promoters, i.e. promoter sequences with the TATA-box (TATA model), promoter sequences without the TATA-box (non-TATA model), and indistinguishable promoters (TATA and non-TATA model). Depicter is developed based on an up-to-date, species-specific dataset which includes Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana promoters. A convolutional neural network coupled with capsule layers is proposed to train and optimize the prediction model of Depicter. Extensive benchmarking and independent tests demonstrate that Depicter achieves an improved predictive performance compared with several state-of-the-art methods. The webserver of Depicter is implemented and freely accessible at https://depicter.erc.monash.edu/.