bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of e-commerce on the sustainable development: case of Ukraine, Poland, and Austria
Authors: Fedirko O , Zatonatska T , Dluhopolskyi O , Londar S 
Published: November 2021

Abstract
The COVID-19 pandemic dramatically and irreversibly transformed global e-commerce trends. The process of internationalization has been slowed down considerably, the level of globalization impact has decreased, that, consequently, has led to a strong lag in the development of some countries. The aim of the study is to determine the nature of e-commerce socio and economic effects in Ukraine, Poland, and Austria. For analysis, a modern mathematical apparatus was used – the Cobb-Douglas model and the Markov chain methodology. The study shows a significant positive impact of e-commerce on employment and GDP in the three countries. Thus, with an increase in investment levels in e-commerce and ICT by 1%, employment in Ukraine will increase by 0.02%, in Poland – by 0.14%, and in Austria – by 0.17%. Similarly, Ukraine’s GDP may rise by 0.07%, Poland’s – by 0.2% and Austria’s – by 0.07%. Therefore, a stable flow of investment in e-commerce will provide countries with a faster way out of the crisis, create more jobs and opportunities for business development.
Multimodal freight transportation as a direction of ensuring sustainable development of the transport system of Ukraine
Authors: Hryhorak M , Lyakh O , Sokolova O , Chornogor N , Mykhailichenko I 
Published: November 2021

Abstract
The article analyzes the dynamics and structure of freight transport in Ukraine. It is established that container transportation in Ukraine occupies a small share in the total volume of cargo transportation compared to EU countries. In order to optimize the realization of trade, economic and transit potential of the country, multimodal schemes of cargo transportation are considered. One of the key issues in ensuring the sustainable development of the country’s transport system is to reduce emissions of CO2 and other pollutants. To achieve a set of environmental goals in Ukraine, it is necessary to intensify the formation of a sustainable transport system based on the development of multimodal container transportation with the involvement of “clean” modes of transport, primarily rail. Conceptual requirements for the formation of an environmentally sustainable system of multimodal container transportation in Ukraine are determined. Based on the calculations of the scenario, it was proved that the development of container rail transportation allows to obtain environmental and economic effects as a result of reducing CO2 emissions.
Priority areas of state regulation of the industry in the context of sustainable development
Authors: Shmygol N , Galtsova O , Yelisyeyeva O , Tarlopov  , Belozertsev V 
Published: November 2021

Abstract
In the article it is proved, that the economic development of any industry depends on the results of the economic activities of the enterprises that are part of it. Based on the available statistical data, we proposed a model for diagnosing the results of the mining industry and conducted a comparative analysis of the results of the study in the context of economic activities. Given the high integration of mining enterprises into the system of intersectoral relations, this problem cannot be solved within the framework of one industry. Therefore, it is proved that, taking into account the existing experience, it requires complex measures: accounts receivable are formed as a result of late payment for delivered products. The main consumers of the extractive industry are: the processing industry, the supply of electricity, gas, air conditioning and transport. They consume more than 87% of the products of this industry in the intermediate consumption market and are the most debtors; on the other hand, these regions are also the largest suppliers of raw materials, materials and semi-finished products for the extractive industry. Therefore, in the end, the accumulation of current accounts payable at the enterprises of the extractive industry for the delivered goods and services is the least desirable for them.
Monitoring of resource-efficient provision of Ukrainian dairy processing enterprises with high-quality raw milk on the basis of international requirements
Authors: Kushnir N , Ventsuryk A , Zhemba A , Tsaruk D 
Published: November 2021

Abstract
The article provides information on the main problems of development of dairy enterprises in Ukraine on the criteria of sustainable development and taking into account the vector of the European integration course of the country. The level of providing milk processing enterprises with the quality of raw milk is analyzed. The main trends in the supply of raw milk from agricultural enterprises and households of Ukraine by varieties are presented and analyzed. The dynamics of milk supply and its price are also presented. It is established that the use of quality raw milk directly affects the efficiency of milk processing enterprises. Important aspects of quality control of raw dairy products at enterprises are outlined. High-quality dairy production and reduction of production costs are impossible without the functioning of the raw material quality monitoring system. To this end, it is necessary to introduce the principles of hazard analysis and critical control points in the management structure of dairy companies. It is proved that the key factor of global economic development is the state of the environment, so monitoring the supply of milk - raw materials should also be accompanied by the definition of a set of resource efficiency indicators.
Continuous assessment of sweat lactic acid secretion using microfluidic sweat lactic acid monitoring system
Authors: Goto Y , Suzuki Y , Morisawa K , Hosoyama A , Taira Y , Kudo H 
Published: November 2021

Abstract
A microfluidic sweat lactic acid (LA) monitoring system for non-invasive and continuous assessment of sweat LA was constructed and tested. Our system transports whole secretions from the skin to an electrochemical LA biosensor using a continuous flow of phosphate buffered saline at the skin’s surface. The LA biosensor was fabricated by modifying screen printed carbon electrodes with osmium wired horseradish peroxidase and lactate oxidase. For continuous monitoring purposes, the microfluidic LA biosensor was connected with a flow cell made of polydimethylsiloxane (PDMS). The sampling device was fabricated by laminating a medical plaster on a PDMS flow-channel. Before the clinical tests, the characteristics of the LA biosensor were evaluated. Sufficient sensitivity (0.4232 nA/µM) and selectivity to LA (> 50fold against glucose, glutamic acid, phenylalanine, ammonia and ethanol) were confirmed. Besides, the medical plaster-based attachment contributed to the reduced leakage between the skin and the sampling device. Under the approval of the ethical committees, LA monitoring of patients with cardiovascular disease at the intensive care unit was carried out. As a result, temporal changes of sweat LA were successfully monitored.
Rapid Screening of Microfibrillated Cellulose Tructure Through FTIR and Principal Component Analsysis
Authors: Nor N F N M , Azmin N F M , Asnawi A L , Jimat D N , Abdullah S 
Published: November 2021

Abstract
Analysis of FTIR spectra combined with multivariate statistical analysis technique specifically Principal Component Analysis was used for rapid screening of microfibrillated cellulose (MFC) structure. The current methods used to extract the MFC are by using the chemical and physical approaches. To date, most researchers focused on bench (lab) scale experiment to identify the structure of MFC. Lack of mathematical models focusing on this goal has motivated this project. Principal component analysis is applied to identify the chemical composition of the MFC. The dataset comprises FTIR spectra of 12 samples that comes from MFC with different particles sizes, 200 µm, 250 µm and 800 µm. The result shows that the wavelength region which represents the MFC structure is in the range of 2950 cm-1 to 2978 cm-1 for particle size of 200 micrometer since it has larger surface area for penetration of fungal into the biomass due to lower diffusion of air, water and metabolite intermediates of which cellulose can be easily hydrolyzed due to increase in pore size of substance through greater removal of hemicellulose and lignin. The overall result indicates that the combination of FTIR analysis and PCA is a useful technique for rapid screening of MFC structure.
Incorporation of Various Nanoclays in Semi-refined Carrageenan Film Composite
Authors: Sedayu B B , Fransiska D , Wullandari P , Novianto T D , Handoyo W T , Assadad L 
Published: November 2021

Abstract
In current investigation, various commercial nanoclays with different level of hydrophilicity i.e., hydrophilic bentonite (HB), cloisite 10A, and cloisite® 30B were incorporated to a hydrophilic semi-refined carrageenan (SRC) films to observe their presence in film matrix in regards with the final film’s properties. High shear mixing and sonication were applied to the film preparation to obtain high dispersion of nanoclays in the matrix. As expected, the hydrophilic clay showed better dispersion within the matrix as shown in Energy Dispersive X-Ray Spectroscopy (EDS) image. The more hydrophilic clay inclusion resulted in higher tensile strength, while the more hydrophobic resulted in higher stiffness of the films. The water vapour permeability was decreased in corresponded to the more hydrophobic clay incorporated, and the thermal properties of the films were overall enhanced by the nanoclays reinforcement. In general, nanoclays incorporation in SRC film improved the overall properties of the SRC film.
Effect of 45S5 bioactive glass on the sintering temperature of titanium-hydroxyapatite composite
Authors: Abu Bakar D S , Kutty M G , Yahya N A 
Published: November 2021

AbstractTitanium (Ti) is widely known for its good mechanical properties and corrosion resistance. However, it has poor biocompatibility. Hydroxyapatite (HA) is a biocompatible material but has poor mechanical properties. Making Ti-HA composite creates a promising choice of biomaterial in dental and medical applications. However, creating a Ti-HA composite requires sintering at high temperatures which leads to oxidation of Ti. The aim of this study was to reduce the sintering temperature of Ti-HA composite by incorporating 45S5 Bioactive Glass (BG) without compromising the chemical, physical and mechanical properties of the composite. In this study, a Ti-HA-BG composite with wt% of 45-45-10 respectively was produced via powder metallurgy. This was compared with the control composite consisting of 50 wt% Ti- 50 wt% HA. Powders according to the above-mentioned ratio were milled at 200 rpm for 5 hours by using a planetary ball milling machine. Samples were then compacted into cylindrical pellets via uniaxial pressing at 1500 psi and sintered in an atmospheric furnace at 1000 °C, 1100 °C and 1200 °C for 4 hours. Ti-HA and Ti-HA-BG sample characteristics were examined and compared by using Fourier Transformed Infrared Spectroscopy (FTIR), Energy Dispersive X-Ray (EDX) and X-Ray Diffraction (XRD). The density and volumetric expansion of the composites were also measured and compared. Results from XRD data indicate the reduction of oxidation of Ti and decomposition of HA in Ti-HA-BG composite at lower temperature in comparison to Ti-HA composite. The density of Ti-HA-BG composites are higher compared to Ti-HA composite while the volumetric expansion of Ti-HA-BG composites is lesser than Ti-HA composite. Therefore, BG is a low melting point additive that acts as a good sintering aid to effectively lower the sintering temperature while maintaining the desired properties of initial components.
Virtual Screening and In Silico Interactions Studies for Potential Antivirals and Diagnostics against the Spike protein from the Novel Coronavirus SARS-Cov-2
Authors: Che Abd Aziz F I , Ahmad Fuad F A , Tanbin S 
Published: November 2021

Abstract
COVID-19 is a newly-emerged respiratory disease that is caused by the SARS-CoV-2, the seventh known Coronaviruses strain that has struck a global pandemic. The sharp increase in the number of positive cases worldwide necessitates highly-sensitive diagnostics kits and effective antiviral drugs to be developed for the populations. One of the antigens that is targeted for antibody neutralisation is the coronavirus Spike protein that consists of the S1 and S2 subunits, which mediated the entry pathway into the host’s cell. Thus, the Spike protein has been suggested as a potential target for Covid-19 diagnostics and drug design. This study aims to evaluate the interactions between the SARS-CoV-2 Spike protein and the known monoclonal antibodies from Coronaviruses and to screen for potential Spike protein inhibitors. Virtual screening was conducted based on two compounds, N‐acetyl‐D‐glucosamine (NAG) and Hesperetin, which is a small molecule that binds to the SARS-CoV-2 Spike protein structure and a natural compound that has prophylactic agents against SARS-CoV-2 infection as it binds to Spike protein, respectively. Protein-protein interaction studies were conducted by using the STRING webserver, prior to performing rigid docking using SWISSDOCK and visualised using USCF Chimera. Meanwhile, ligand-based screening was conducted through Ultrafast Shape Recognition Virtual Screening Database (USR-VS), and structure-based screening was performed via AutoDock4 software. The toxicity of the compounds was predicted using ProTox-II database. Possible interactions have been observed between the known monoclonal antibodies with the SARS-CoV-2 Spike protein, where M396 monoclonal antibody has shown the strongest interaction with a binding energy of -8.50 kcal/mol. Meanwhile, virtual screening has yielded several compounds that indicate the possibility to inhibit the SARS-CoV-2 Spike protein, where Tamarixetin has shown the strongest binding energy of -7.93 kcal/mol. These findings have potentials to be further evaluated in the future for the development of improved diagnostic kits and potential therapeutic drugs that specifically target the Spike protein of SARS-CoV-2.
Activated carbon assisted electrocoagulation process for treating biotreated palm oil mill effluent
Authors: Tahreen A , Jami M S , Ali F 
Published: November 2021

Abstract
Electrocoagulation (EC) is a sustainable wastewater treatment alternative that is widely studied because of its environmentally friendly nature, versatility, and simplicity in setup and operation. However, EC alone cannot treat wastewater up to reusable standards and requires integration with other processes, mostly by adding highly hazardous oxidants. This work aims to investigate the combination of powdered activated carbon (AC) with biotreated palm oil mill effluent (BPOME) as wastewater sample, in the EC reactor, and to optimize its concentration for maximum pollutant removal efficiency. Ranging from 0.5-1.5 wt. % concentration of AC mixed with EC reactor, EC was carried out with its critical parameters set to a current of 1.75 A (i.e., 160 mA/cm2 current density) and initial pH 6 and 10 mm interelectrode distance with aluminum electrodes. The EC treated wastewater was sampled from 5 minutes to 60 minutes and the parameters monitored were total suspended solids (TSS), turbidity, color and chemical oxygen demand (COD). Turbidity, TSS and color were removed nearly to completion within 5 to 15 minutes of EC, whereas maximum COD removal was determined to be 84.6 % with 1 wt. % powdered AC combined with EC, which is an increase of about 14.6% compared to EC with no AC addition. The optimum concentration of AC for maximum removal efficiency on BPOME was 1 wt. % (2 g per 200 ml). Addition of AC in EC resulted in a faster pollutant removal rate, with enhanced process efficiency.
The efficiency of steam production by the Parabolic Trough Collector PTC with the use of nanofluids in the region of Ouargla
Authors: Achouri Intissar , Soudani Mouhamed Elbar , Salah Tlili 
Published: November 2021

Abstract
Concentrated solar power plants (CSP) contribute to global production (at present) with a capacity of 400 MW, and by 2020 they will reach approximately 20 GW, then nearly 800 GW by 2050, This will prevent the emission of 32 million tons of CO2 annually in 2020, and rise to 1.2 billion tons in 2050, according to the International Greenpeace “Solar Thermal Electricity” 2016 report.
Among all the concentrated solar power (CSP) technology available to date, Parabolic Trough Collector (PTC) is the most promising, cost-effective, and efficient solution to generating electrical power, as PTC plants contribute in terms of global production capacity by 73.58% of the overall capacity of concentrated solar power plants (CSP).
PTC stations in the production of electricity depend on the generation of hot and pressurized steam that rotates the turbines and to increase the effectiveness of PTC in the production of steam, we use in this study nanofluids by adding copper nanomaterials in different proportions to improve the Thermal efficiency of PTC. We also studied the effect of the width of the PTC slot on the fluid temperature. And from it on the amount of steam produced.
The results of the study showed that the Thermal efficiency increases with the increase in the ratio of copper nanomaterials in the water, as the temperature of outlet water reaches 98°C, for the ratio of nanomaterials, 20%, in order to water flow 0.01 Kg/s and display the aperture 3.5 m.
Wastewater treatment by adsorption process on mineral actived carbon: modeling and prediction using an intelligent artificial approach
Authors: Meriem Sediri , Salah Hanini 
Published: November 2021

Abstract
Currently there are several wastewater treatments processes, and several adsorbent materials consist of separating and purifying the various industrial effluents. In this work an artificial neural network (ANN) was developed to describe the dynamic adsorption of sodium decanesulfonate using actived carbon obtained by the calcination of mineral biomass under different conditions. Three inputs (time, mass of adsorbent and fixed bed height) were used in the input layer, three neurons in the hidden layer and one in the output layer for the reduced concentration. The Levenberg Marquardt back-propagation algorithm was applied. The tangent sigmoid and linear transfer functions are used for the hidden layer and the output layer respectively. The results showed a correlation coefficient R2 = 0.9965 with root mean squared error RMSE = 0.0276. An interpolation and an extrapolation stage are made to test the accuracy of the network. The results showed a high correlation coefficient R2 = 0.9969 and 0.984 respectively for the interpolation and the extrapolation. These results show the robustness and the high capacity of ANN to describe the dynamic adsorption of sodium decanesulfonate onto actived carbon.
Rheological behavior of the composite matrix Diglycidylether of bisphenol-A (DGEBA/wt% blast furnace slag (BFS)
Authors: Irekti Amar , Oualit Mehena , Ykene Zohra , Dorel Buncianu 
Published: November 2021

Abstract
This paper reports experiments on the rheological behavior of DGEBA epoxy resin filled with blast furnace slag nanoparticles. The study of the variation of stress and viscosity as a function of shear rate is emphasized.
The purpose of this study is to investigate the rheological behavior of DGEBA loaded with blast furnace slag (BFS), the selected mixtures cannot exceed 10% in wt%, given the fineness of grinding which SSB= 44.5 m2.g-1. We tested the compositions of DGEBA/%wt blast furnace slag (BFS) at filling ratios of (10, 20, 30, 40 and 50%). Viscosity and shear stress as a function of temperature and filler rate were investigated. In this study, formulations were developed to test the best compositions with favorable rheological behavior for better processing of these matrices.
The importance of designer-contractor communication in geotechnical design as exemplified by a cut slope failure
Authors: Anafarta D , Turk E , Akbas S O 
Published: November 2021

Abstract
A shallow slope failure has occurred on the cut slopes of the Bigadic-Simav-Abide highway at the section located between Km:125+530-125+870, during construction. A detailed investigation of the landslide mechanism, which includes site specific surveys, laboratory studies, and stability analyses indicates that the main reason of the failure lies within the construction procedure details. This study focuses on the forensic geotechnical engineering procedures applied for determining the cause of the slope failure. An emphasis was placed on the importance of strictly following the construction sequence as illustrated in the design documents in detail, as well as on the indispensable role of continuous communication between the designer and the contractor for successful performance of geotechnical works.
Human-engineered auricular reconstruction (hEAR) by 3D-printed molding with human-derived auricular and costal chondrocytes and adipose-derived mesenchymal stem cells
Authors: Landau Shira , Szklanny Ariel A , Machour Majd , Kaplan Ben , Shandalov Yulia , Redenski Idan , Beckerman Margarita , Harari-Steinberg Orit , Zavin Janet , Karni-Katovitch Oryan , Goldfracht Idit , Michael Inbal , Waldman Stephen D , Duvdevani Shay I , Levenberg Shulamit 
Published: November 2021

Abstract
Microtia is a small, malformed external ear, which occurs at an incidence of 1–10 per 10 000 births. Autologous reconstruction using costal cartilage is the most widely accepted surgical microtia repair technique. Yet, the method involves donor-site pain and discomfort and relies on the artistic skill of the surgeon to create an aesthetic ear. This study employed novel tissue engineering techniques to overcome these limitations by developing a clinical-grade, 3D-printed biodegradable auricle scaffold that formed stable, custom-made neocartilage implants. The unique scaffold design combined strategically reinforced areas to maintain the complex topography of the outer ear and micropores to allow cell adhesion for the effective production of stable cartilage. The auricle construct was computed tomography (CT) scan-based composed of a 3D-printed clinical-grade polycaprolactone scaffold loaded with patient‐derived chondrocytes produced from either auricular cartilage or costal cartilage biopsies combined with adipose-derived mesenchymal stem cells. Cartilage formation was measured within the construct in vitro, and cartilage maturation and stabilization were observed 12 weeks after its subcutaneous implantation into a murine model. The proposed technology is simple and effective and is expected to improve aesthetic outcomes and reduce patient discomfort.
Investigating the physics of disruptions with real-time tomography at JET
Authors: FERREIRA Diogo R , CARVALHO Pedro J , CARVALHO Ivo S , STUART Chris I , LOMAS Peter J 
Published: November 2021

Abstract
As JET is developing and testing operational scenarios for higher fusion performance, an increase in pulse disruptivity is being observed. On a deeper analysis, we find that several radiative phenomena play an active role in determining the outcome of the pulse. The analysis is enabled by the use of real-time tomography based on the bolometer diagnostic. Even though plasma tomography is an inverse problem, we use machine learning to train a forward model that provides the radiation profile directly, based on a single matrix multiplication step. This model is used to investigate radiative phenomena including sawtooth crashes, ELMs and MARFE, and their relationship to the radiated power in different regions of interest. In particular, we use real-time tomography to monitor the core region, and to throw an alarm whenever core radiation exceeds a certain threshold. Our results suggest that this measure alone can anticipate a significant fraction of disruptions in the JET baseline scenario.