bluuebunny/crossref_metadata_2025 huggingface dataset:
Physicomechanical Properties of Rice Husk/Coco Peat Reinforced Acrylonitrile Butadiene Styrene Blend Composites
Authors: Norhasnan Nurul Haziatul Ain , Hassan Mohamad Zaki , Nor Ariff Farhan Mohd , Zaki S. A. , Dolah Rozzeta , Jamaludin Khairur Rijal , Aziz Sa’ardin Abdul
Published: April 2021

Utilizing agro-waste material such as rice husk (RH) and coco peat (CP) reinforced with thermoplastic resin to produce low-cost green composites is a fascinating discovery. In this study, the effectiveness of these blended biocomposites was evaluated for their physical, mechanical, and thermal properties. Initially, the samples were fabricated by using a combination of melt blend internal mixer and injection molding techniques. Increasing in RH content increased the coupons density. However, it reduced the water vapor kinetics sorption of the biocomposite. Moisture absorption studies disclosed that water uptake was significantly increased with the increase of coco peat (CP) filler. It showed that the mechanical properties, including tensile modulus, flexural modulus, and impact strength of the 15% RH—5% CP reinforced acrylonitrile-butadiene-styrene (ABS), gave the highest value. Results also revealed that all RH/CP filled composites exhibited a brittle fracture manner. Observation on the tensile morphology surfaces by using a scanning electron microscope (SEM) affirmed the above finding to be satisfactory. Therefore, it can be concluded that blend-agriculture waste reinforced ABS biocomposite can be exploited as a biodegradable material for short life engineering application where good mechanical and thermal properties are paramount.
Study of Surface Mechanical Characteristics of ABS/PC Blends Using Nanoindentation
Authors: Bano Saira , Iqbal Tanveer , Ramzan Naveed , Farooq Ujala
Published: April 2021

Acrylonitrile butadiene styrene (ABS) and polycarbonate (PC) are considered a well-known class of engineering thermoplastics due to their efficient use in automotive, 3D printing, and electronics. However, improvement in toughness, processability, and thermal stability is achieved by mixing together ABS and PC. The present study focuses on the understanding of surface mechanical characterization of acrylonitrile butadiene styrene (ABS) and polycarbonate (PC) blends using nano-indentation. Polymer blends sheets with three different proportions of ABS/PC (75:25, 50:50, and 25:75) were fabricated via melt-processing and thermal press. Fourier transform infrared (FTIR) spectroscopy was performed to analyze the intermolecular interactions between the blends’ components. To understand the surface mechanical properties of ABS and PC blends, a sufficient number of nano-indentation tests were performed at a constant loading rate to a maximum load of 100 mN. Creeping effects were observed at the end of loading and start of unloading section. Elastic modulus, indentation hardness, and creep values were measured as a function of penetration displacement in the quasi-continuous stiffness mode (QCSM) indentation. Load-displacement curves indicated an increase in the displacement with the increase in ABS contents while a decreasing trend was observed in the hardness and elastic modulus values as the ABS content was increased. We believe this study would provide an effective pathway for developing new polymer blends with enhanced mechanical performance.
Independent Validation of an In Silico Tool for a Pilot-Scale Pharmaceutical Crystallization Process Development
Authors: Öner Merve , Tran Francis , Jensen Gitte Holm , Ståhlberg Tim , Bisgaard-Frantzen Kirsten , Stocks Stuart Michael , Abildskov Jens , Sin Gürkan
Published: April 2021

There are many published models for predicting crystal size distribution (CSD) in the literature. However, none of them have been independently and comprehensively tested, which is important for industrial acceptance and confidence of these models. Therefore, in this study, using solubility and kinetic data from the literature, an in silico tool for predicting the crystallization process performance of a model compound system (paracetamol in ethanol) was developed and challenged by independent experiments at the 50 L pilot scale. The solute concentration was tracked, and the final CSD was quantified using three measurement techniques including a novel image analysis tool. The reported parameter uncertainties were also addressed using Monte Carlo simulations. The results showed that, when the models were used within their validity range (e.g., suspended solids), they were able to describe the observed process trends/dynamics (CSD and solute concentration) under varying experimental conditions (cooling time and seed mass) with R2 ranging from 0.72 and 0.90. Overall, the results indicate that, using Monte Carlo simulations to account for known parametric uncertainties, the models can support model-based approaches for crystallization process development from scale-down to scale-up studies as well as control evaluation.
Algorithm to Use Some Specific Lean Manufacturing Methods: Application in an Industrial Production Process
Authors: Gavriluţă Ana Cornelia , Niţu Eduard Laurenţiu , Gavriluţă Constantin Alin
Published: April 2021

Lean Manufacturing includes an ensemble of methods to analyze and continuously improve the functioning of manufacturing systems. The research presented in the literature highlights the fact that these methods are, on their own, in a process of continuous improvement as tools, being used in different ways, for different production systems. The paper presents an algorithm that facilitates the choice of the performance evaluation method, and the choice of the method of improvement that needs to be implemented for an efficient analysis and for a continuous increase of the manufacturing system performance. In addition to these, for the JobObservation and 5S methods, chartflows are proposed and specific tools are developed (questionnaires, forms etc.) that are meant to facilitate the implementation and to focus (guide) the user in the direction of improvement for the analyzed process. The algorithm, techniques, and tools developed in this research were used in a case study that took place in a production system “plastic injection”. Thus, a series of important improvements were made in the functioning of the production system, consisting of the reduction of production area, decrease of cycle time, decrease of the number of operators, stabilization, standardization, and securing of the work processes. All this has led to the improvement of several key performance indicators (KPIs) of the production system. The analysis of the investment in the reorganization of the production system in relation to the obtained gains shows a payback of approximately 1 month, proving the efficiency of use in such a form of the Lean Manufacturing methods.
Retrieving Photometric Properties and Soil Moisture Content of Tidal Flats Using Bidirectional Spectral Reflectance
Authors: Gao Chen , Xu Min , Xu Hanzeyu , Zhou Wei
Published: April 2021

Moisture content in tidal flats changes frequently and spatially on account of tidal fluctuations, which greatly influence the reflectance of the tidal flat surface. Precise prediction of the spatial-temporal variation of tidal flats’ moisture content is an important foundation of surface bio-geophysical information research by remote sensing. In this paper, we first measured the multi-angle reflectance of soil samples obtained from tidal flats in the northeastern Dongtai, Jiangsu Province, China, in the laboratory. Then, based on the particle swarm optimization (PSO) algorithm, we retrieved the photometric characteristics of the soil surface by employing the SOILSPECT bidirectional reflectance model. Finally, the soil moisture content was retrieved by introducing the equivalent water thickness of the soil. The results showed that: (i) A significant correlation existed between the retrieved equivalent water thickness and the measured soil moisture content. The SOILSPECT model is capable of estimating soil moisture with high precision by using multi-angle reflectance. (ii) Retrieved values of single scattering albedo (ω) were consistent with the variation of soil moisture content. The roughness parameter (h) and the asymmetry factor (Θ) were consistent with the structure and particle composition of the soil surface in dry soil samples. (iii) When the soil samples were soaked with water, the roughness parameter (h) and the type of scattering on the soil surface both showed irregular changes. These results support the importance of using the measured soil particle size as one of the parameters for the retrieval of soil moisture content, which is a method that should be used cautiously, especially in tidal flats.
Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification
Authors: Shi Hao , Cao Guo , Ge Zixian , Zhang Youqiang , Fu Peng
Published: April 2021

Deep-learning methods, especially convolutional neural networks (CNN), have become the first choice for hyperspectral image (HSI) classification to date. It is a common procedure that small cubes are cropped from hyperspectral images and then fed into CNNs. However, standard CNNs find it difficult to extract discriminative spectral–spatial features. How to obtain finer spectral–spatial features to improve the classification performance is now a hot topic of research. In this regard, the attention mechanism, which has achieved excellent performance in other computer vision, holds the exciting prospect. In this paper, we propose a double-branch network consisting of a novel convolution named pyramidal convolution (PyConv) and an iterative attention mechanism. Each branch concentrates on exploiting spectral or spatial features with different PyConvs, supplemented by the attention module for refining the feature map. Experimental results demonstrate that our model can yield competitive performance compared to other state-of-the-art models.
Use of the Composite Properties of a Microwave Resonator to Enhance the Sensitivity of a Honey Moisture Sensor
Authors: Reyes-Ayona José R. , Gallegos-Arellano Eloisa , Sierra-Hernández Juan M.
Published: April 2021

A moisture sensor based on a composite resonator is used to measure different honey samples, which include imitation honey. The sensor changes its frequency response in accordance with the dielectric permittivity that it detects in the measured samples. Although reflectometry sensors have been used to measure the percentage of moisture in honey for almost a century, counterfeiters have achieved that their apocryphal product is capable of deceiving these kinds of sensors. Metamaterial features of the composite resonators are expected to improve their response when detecting lossy samples such as organic samples. It is also sought that these sensors manage to detect small differences not only in the real parts of the dielectric permitivities of samples but also in their imaginary parts, and, thus, the sensors are able to discern between real honey and slightly altered honey. Effectively, not only was it possible to improve the response of the sensors by using lossy samples but it was also possible to identify counterfeit honey.
Beam Allocation and Power Optimization for Energy-Efficiency in Multiuser mmWave Massive MIMO System
Authors: Maimaiti Saidiwaerdi , Chuai Gang , Gao Weidong , Zhang Jinxi
Published: April 2021

This paper studies beam allocation and power optimization scheme to decrease the hardware cost and downlink power consumption of a multiuser millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system. Our target is to improve energy efficiency (EE) and decrease power consumption without obvious system performance loss. To this end, we propose a beam allocation and power optimization scheme. First, the problem of beam allocation and power optimization is formulated as a multivariate mixed-integer non-linear programming problem. Second, due to the non-convexity of this problem, we decompose it into two sub-problems which are beam allocation and power optimization. Finally, the beam allocation problem is solved by using a convex optimization technique. We solve the power optimization problem in two steps. First, the non-convex problem is converted into a convex problem by using a quadratic transformation scheme. The second step implements Lagrange dual and sub-gradient methods to solve the optimization problem. Performance analysis and simulation results show that the proposed algorithm performs almost identical to the exhaustive search (ES) method, while the greedy beam allocation and suboptimal beam allocation methods are far from the ES. Furthermore, experiment results demonstrated that our proposed algorithm outperforms the compared the greedy beam allocation method and the suboptimal beam allocation scheme in terms of average service ratio.
The Key Role of Active Sites in the Development of Selective Metal Oxide Sensor Materials
Authors: Marikutsa Artem , Rumyantseva Marina , Konstantinova Elizaveta A. , Gaskov Alexander
Published: April 2021

Development of sensor materials based on metal oxide semiconductors (MOS) for selective gas sensors is challenging for the tasks of air quality monitoring, early fire detection, gas leaks search, breath analysis, etc. An extensive range of sensor materials has been elaborated, but no consistent guidelines can be found for choosing a material composition targeting the selective detection of specific gases. Fundamental relations between material composition and sensing behavior have not been unambiguously established. In the present review, we summarize our recent works on the research of active sites and gas sensing behavior of n-type semiconductor metal oxides with different composition (simple oxides ZnO, In2O3, SnO2, WO3; mixed-metal oxides BaSnO3, Bi2WO6), and functionalized by catalytic noble metals (Ru, Pd, Au). The materials were variously characterized. The composition, metal-oxygen bonding, microstructure, active sites, sensing behavior, and interaction routes with gases (CO, NH3, SO2, VOC, NO2) were examined. The key role of active sites in determining the selectivity of sensor materials is substantiated. It was shown that the metal-oxygen bond energy of the MOS correlates with the surface acidity and the concentration of surface oxygen species and oxygen vacancies, which control the adsorption and redox conversion of analyte gas molecules. The effects of cations in mixed-metal oxides on the sensitivity and selectivity of BaSnO3 and Bi2WO6 to SO2 and VOCs, respectively, are rationalized. The determining role of catalytic noble metals in oxidation of reducing analyte gases and the impact of acid sites of MOS to gas adsorption are demonstrated.
Construction of Ultrasonic Tactile Force Feedback Model in Teleoperation Robot System
Authors: Liu Yang , Li Xiaoling , Lai Jiarui , Zheng Ziming , Zhu Huijin , Li Min
Published: April 2021

The ultrasonic phased array as an emerging interactive tool is increasingly used for aerial tactile interaction. However, there is almost no method to achieve remote variable force feedback through the ultrasonic phased array as far as we know. This article presents a force tactile feedback method for teleoperating robot systems that tracks the five fingers and forms a focus on the fingertips. First, the perceived size of the focus depends on the input parameters. The influence of the parameters on the physical output pressure intensity was obtained through physical test experiments. Then, the absolute threshold and difference threshold of human perception were studied through psychophysical experimental methods. Finally, the input parameters were selected according to the experimental results. According to the collected data, the construction of the force regression model was completed, and different parameters were mapped to the perceived intensity. The contact force generated in the actual operation is fed back to the haptic system, and the constructed model automatically adjusts the control parameters to ensure that the user’s hand presents a sensory output corresponding to the intensity change. The entire force feedback system is evaluated, and results show that the system shows good perceptual quality.
Complete Automation of an Energy Consumption Reduction Strategy from a Water Treatment and Distribution Facility, Inside an Industrial Internet of Things-Compliant Proactive Historian Application
Authors: Nicolae Andrei , Korodi Adrian , Silea Ioan
Published: April 2021

The Industrial Internet of Things and Industry 4.0 paradigms are steering the industrial landscape towards better connected entities, superior interoperability and information exchange, which lays the basis for developing more intelligent solutions that are already starting to bring numerous benefits. The current research aligns to this course, in an attempt to build an automated and autonomous software tool, capable of reducing the energy consumption of a water treatment and distribution facility, by optimizing the water sources usage. Based on several previous researches, the present paper details both the complete automation of the optimizing strategy inside a proactive historian application and the tests executed with the finished solution. Possessing the abilities to directly influence the monitored system in a non-invasive manner, and to link all the sequences of the algorithm automatically, the solution is now ready for long-term functioning without any external interference.
Effect of Uphill Running on VO2, Heart Rate and Lactate Accumulation on Lower Body Positive Pressure Treadmills
Authors: Fleckenstein Daniel , Ueberschär Olaf , Wüstenfeld Jan C. , Rüdrich Peter , Wolfarth Bernd
Published: April 2021

Lower body positive pressure treadmills (LBPPTs) as a strategy to reduce musculoskeletal load are becoming more common as part of sports conditioning, although the requisite physiological parameters are unclear. To elucidate their role, ten well-trained runners (30.2 ± 3.4 years; VO2max: 60.3 ± 4.2 mL kg−1 min−1) ran at 70% of their individual velocity at VO2max (vVO2max) on a LBPPT at 80% body weight support (80% BWSet) and 90% body weight support (90% BWSet), at 0%, 2% and 7% incline. Oxygen consumption (VO2), heart rate (HR) and blood lactate accumulation (LA) were monitored. It was found that an increase in incline led to increased VO2 values of 6.8 ± 0.8 mL kg−1 min−1 (0% vs. 7%, p < 0.001) and 5.4 ± 0.8 mL kg−1 min−1 (2% vs. 7%, p < 0.001). Between 80% BWSet and 90% BWSet, there were VO2 differences of 3.3 ± 0.2 mL kg−1 min−1 (p < 0.001). HR increased with incline by 12 ± 2 bpm (0% vs. 7%, p < 0.05) and 10 ± 2 bpm (2% vs. 7%, p < 0.05). From 80% BWSet to 90% BWSet, HR increases of 6 ± 1 bpm (p < 0.001) were observed. Additionally, LA values showed differences of 0.10 ± 0.02 mmol l−1 between 80% BWSet and 90% BWSet. Those results suggest that on a LBPPT, a 2% incline (at 70% vVO2max) is not yet sufficient to produce significant physiological changes in VO2, HR and LA—as opposed to running on conventional treadmills, where significant changes are measured. However, a 7% incline increases VO2 and HR significantly. Bringing together physiological and biomechanical factors from previous studies into this practical context, it appears that a 7% incline (at 80% BWSet) may be used to keep VO2 and HR load unchanged as compared to unsupported running, while biomechanical stress is substantially reduced.
Household Farm Production Diversity and Micronutrient Intake: Where Are the Linkages? Panel Data Evidence from Uganda
Authors: Sekabira Haruna , Nalunga Shamim , Umwungerimwiza Yves Didier , Nazziwa Lydia , Ddungu Stanley Peter
Published: April 2021

Hunger and malnutrition are key global challenges whose understanding is instrumental to their elimination, thus realization of important sustainable development goals (SDGs). However, understanding linkages between farm production diversity (FPD) and household micronutrient intake is important in mapping micronutrient deficiencies and hidden hunger. Such understanding would inform appropriate interventions against malnutrition. Unfortunately, empirical literature is scarce to sufficiently inform such understanding. Using nationally representative panel survey data covering about 3300 households, we study linkages between FPD and nutrition, and associated impact pathways. We analyze data using panel regression models. Results show that at least half of sample was deficient in daily energy, iron, zinc, and vitamin A intake vis-à-vis FAO recommendations. Deficiencies were most severe (85%) with vitamin A. Positive and significant associations (about 1% for each added crop/livestock species) exist between FPD and daily household energy, iron, zinc, and vitamin A intake. FPD impacts energy and micronutrient intake via two main consumption pathways; markets (about 0.01% for each shilling), and own farm production (about 0.1% for each shilling). Therefore, own farm production yields better outcomes. Gender effects also exist. Male-headed households exhibited better nutrition outcomes (energy—11%, iron—8%, and zinc—12%) mostly via markets. Effects on Vitamin A were also positive although insignificant.
How Does Network Structure Impact Follow-On Financing through Syndication? Evidence from the Renewable Energy Industry
Authors: Zhang Ruling , McCarthy Killian J. , Wang Xiao , Tian Zengrui
Published: April 2021

Venture capital (VC) is a critical source of finance for renewable energy ventures. Importantly, VC investments are made in rounds. In higher rounds: (1) the availability of capital drops—we find that less than 50% of renewable energy ventures receive “follow-on” financing—and (2) the rate at which VC firms co-invest increases—we find that 75% of “follow-on” investments are “syndicated”, co-investments. We argue that the way in which VC firms co-invest—in terms of how and to whom they are connected—is critical to understanding which projects are financed. Using data on 760 firm-deal observations, we examine how the VC firm’s direct ties (ego network) create trust (which we measure using the clustering coefficient) and improve access (structural holes) to important investment information. We consider too how the “small-world” nature of the global VC industry network (small-world quotient) improves “information reachability”. Finally, we consider the way in which these features interact with each other—specifically, when they can be substitutes and when they are complements—in explaining which projects do and do not receive follow-on financing through syndication. We conclude by reflecting on the implications of our findings for VC syndication and sustainable entrepreneurship in the renewable energy industry.
Unintended CSR Violation Caused by Online Recommendation
Authors: Yoon Yeujun , Fu Yating , Joo Jaewoo
Published: April 2021

This paper investigates whether online recommendation of products that exhibit corporate social responsibility (CSR) penalizes the purchase intention of non-CSR products. When consumers browse online retail stores and consider buying a particular product, online recommendation is made (e.g., “Customers who viewed this item also viewed”). This recommendation is often made between products of which attributes have a trade-off relationship (e.g., CSR vs. price). (A trade-off is where one thing increases, and another must decrease. A trade-off relationship between CSR and price suggests a pair of competing products are available: a more expensive, CSR product and an economical, non-CSR product.) We borrowed from the psychological literature of evaluability to hypothesize that when a CSR product is recommended, consumers would decrease their purchase intention of the economical product. However, when an economical product is recommended, consumers would maintain their purchase intention of the CSR product. We further hypothesized that this asymmetric effect would disappear when reinforcement information regarding the CSR is provided. Two carefully designed experiments conducted in China supported these hypotheses. Our findings contribute to the growing literature on online retailers by elucidating the psychological impact of online recommendations, which may influence manufacturers’ sales in an unexpected manner. The findings also indicate that online recommendations could be a potential source of channel conflict. While this study newly verifies the unintended CSR violation effect of online recommendations, future studies are required to expand our understanding of the CSR violation effect by investigating the effect under the trade-off relationship with other attributes of the product.
An Exploration of the Best Value Perceptions of Small Housebuilding Developers towards Offsite Construction
Authors: Agapiou Andrew
Published: April 2021

Offsite construction is increasingly being presented as a way to increase housing delivery and reduce the housing crisis. Large developers play a pivotal role in the delivery of affordable homes and therefore offsite construction could be beneficial in alleviating the crisis. Previous Offsite Construction (OC) studies conducted into the drivers, barriers and decision factors provide qualitative analysis from manufacturers and larger developers appear to be taking advantage of the UK government’s renewed interest in offsite manufacturing and have begun investing in these methods. However, the role of smaller housebuilding developers in the use of offsite construction systems is rather more uncertain. This research addresses this gap in the literature through an exploration of small housebuilding developers’ best value perceptions of offsite construction methods within the UK housebuilding sector. A questionnaire survey was used to ascertain perceptions of the 134 small developers towards the drivers, barriers and decision factors identified in the extant OC literature. Although survey respondents had not widely used offsite manufactured systems previously, the results indicate a high level of agreement with the drivers identified within the offsite construction literature. The respondents identified the buyers’ perception of traditional methods as superior to OC systems and creating higher sales figures. Many any of the respondents also believe that best value, and hence maximised profit, higher sales value, and greater returns on investment, is achieved through traditional methods of construction. These two factors combined are more desirable for small developers, rather than the perceived increase in sustainability and efficiency offered by OC systems, due to their positive effect on profit.
Development of a Scale to Measure Intrapersonal Psychological Empowerment to Participate in Local Tourism Development: Applying the Sociopolitical Control Scale Construct to Tourism (SPCS-T)
Authors: Jeong Eunseong , Shim Changsup , Brown Alan Dixon , Lee Shieun
Published: April 2021

Future tourism development must be guided by thoughtful and effective policies that represent the interests of a majority of community members to maximize the positive and minimize the negative impact on communities. Effective policies rely on the support of an engaged citizenry made up of residents who feel psychologically empowered. The primary purpose of this study was to develop a topic-specific measure of sociopolitical control in order to provide a reliable quantitative tool to evaluate tourism development in host communities. Confirmatory factor analysis yielded indices of an acceptable model fit that support the construct validity of a revised Sociopolitical Control Scale for Tourism (SPCS-T). The present study provides empirical evidence that policymakers and researchers interested in gauging support for future tourism policies can successfully apply the SPCS-T in the tourism context.
Entrepreneurial Ecosystems and Entrepreneurial Initiative: Building a Multi-Country Taxonomy
Authors: Pita Mariana , Costa Joana , Moreira António Carrizo
Published: April 2021

The main goal of this article is to appraise the existence of different patterns of the Entrepreneurial Ecosystems, to identify its relationship with Entrepreneurial Initiative, and recommend entrepreneurship policies that may influence the growth of entrepreneurial action. Without evidence on entrepreneurial ecosystems landscape and what determinants stimulate entrepreneurship in a given environment, policies could become flawed and miss the target. To address research purposes, the analysis was performed using data extracted from the Global Entrepreneurship Monitor (GEM) Database carried out between 2010 and 2016. To ensure a longitudinal perspective, it was used a balanced panel approach followed by Logistic Regression estimations. The article offers a novel and systematic approach, the Entrepreneurial Ecosystem Taxonomy, to overcome a disaggregated perspective on entrepreneurial ecosystems, between individual and context levels. Empirical findings capture four different country profiles, based on two measures: Entrepreneurial ecosystems and entrepreneurial initiative. The results allow to compare the four groups and appraise significant disparities around entrepreneurship determinants, namely, the education factor. While education is commonly recognized as a positive influence on entrepreneurship, the results suggest a contradictory effect. The existence of differentiated profiles and its determinants points outs the importance of developing specific entrepreneurship policy packages attending group specificities.
Framework for Greenhouse Gas Emissions Calculations in the Context of Road Freight Transport for the Automotive Industry
Authors: Chocholac Jan , Hruska Roman , Machalik Stanislav , Sommerauerova Dana , Sohajek Petr
Published: April 2021

The topic of greenhouse gas emissions calculations in the context of freight transport is very current. This topic is very interesting for many stakeholders, such as companies, suppliers, employees, customers, residents, etc. The automotive industry is a major producer of greenhouse gas emissions from logistic processes. Due to this fact, it is necessary to search for and create frameworks for the calculation of greenhouse gas emissions in this sector. The requirements for the calculation of greenhouse gas emissions from road freight transport in the automotive industry were identified using semi-structured interviews. Available emission freight calculators were analyzed using the content and comparative analysis. The proposed frameworks for greenhouse gas emissions calculations in the context of road freight transport of material and finished manufactured passenger cars for the automotive industry were applied in the form of an interpretative case study. The main result of the article is the proposal of the frameworks for greenhouse gas (carbon and sulfur dioxide) emissions calculations in the context of road freight transport of the material and finished manufactured passenger cars for the automotive industry. The proposed frameworks were applied and verified. The use of the proposed frameworks can be expected in logistic planning and decision-making.
Highlighting the Role of Universally Available and Innate Immune Cell Counts in Acute Ischemic Stroke: A Scoping Review
Authors: Wijeratne Tissa , Sales Carmela , Menon Rohit , Karimi Leila , Jakovljevic Mihajlo
Published: April 2021

Stroke is one of the leading causes of adult disability and the second leading cause of death worldwide. The immune system actively participates in the pathobiological process of acute ischemic stroke (AIS), during the index event and the repair process. Research on neurovascular inflammation has created a renewed interest in the use of easily available biomarkers reflective of innate and adaptive immunological changes with potential diagnostic, prognostic, and therapeutic implications particularly in AIS. The current scoping review aimed to assess the significance the neutrophil to lymphocyte (NLR) in AIS and its related complications and explore their association with post-stroke recovery trajectory. The Arksey and O’Malley methodological framework was employed to review the published papers on the neutrophil–lymphocyte ratio (NLR) and AIS in late November 2020. Only studies published in English from 2000–2020 were included in this scoping review. Fifty-three published papers were reviewed. This review’s key finding is that a canonical inflammatory response occurs in the hyperacute, acute, subacute, and chronic stages of stroke. An excessive circulating innate immune cells (neutrophils) and reduced circulating adaptive immune cells (lymphocytes) are associated with poorer outcomes during the acute interventions as well as the recovery trajectory. This scoping review’s findings highlights the utility of a systems biology-based approach in stroke care.
Challenges for Innovation and Sustainable Development in Latin America: The Significance of Institutions and Human Capital
Authors: Zapata-Cantu Laura , González Fernando
Published: April 2021

Sustainable development is considered as one of the vital challenges of the 21st century for humanity. The COVID-19 pandemic has disrupted economic and social life, forcing governments and businesses to reconsider their priorities. There are rare empirical studies on the national innovation system and its relationship to sustainability development for emerging countries. This paper aims at shedding light on how mission-oriented policies have marked sustainable regional development and innovation in Latin America. The present study presents the capabilities that could support the improvement of the national innovation system and, as a consequence, sustainability development. To understand how Latin American countries act on innovation and sustainable development initiatives, two global rankings in these areas, The Global Innovation Index 2020 and The Sustainable Development Report 2020, were analyzed. The results indicate some obstacles must be overcome such as the high levels of social inequality and poverty that still constitute significant challenges for this region. Today’s biggest challenges are facing a pandemic situation and guaranteeing economic development that allows the underprivileged to escape poverty without dooming future generations to an even more degraded environment than the current one. Innovation continues to play a critical role in the transition toward a more sustainable world.
Insight into the Metabolite Pattern of Psoriasis: Correlation among Homocysteine, Methionine, and Polyamines
Authors: Ruseva Silviya , Popova Inna , Lozanov Valentin , Mitev Vanio
Published: April 2021

Psoriasis is an incurable dermatological disorder, characterized by increased epidermal cell proliferation. Numerous studies have focused on the modulation of polyamine (PA) metabolism in psoriatic lesions, as well as the relationship between serum homocysteine (Hcy) levels and psoriasis severity. The correlation between Hcy and PA levels has not been investigated, although both of them depend on methionine (Met) loading. The aim of this study was to examine Met, Hcy, and polyamine levels in serum, saliva, lesions, and non-affected skin to investigate the eventual relationship between their levels in skin samples and to assess the correlation of each metabolite among the tested samples. This study was conducted on 24 patients with plaque-form psoriasis vulgaris. The original LC-MS/MS method was used for quantification of analytes. Hyperhomocysteinemia was observed and the serum levels of spermidine (Spd) and spermine (Spm) were also found to be elevated. A significant increase in Met (p < 0.05) and Spm (p < 0.001) concentrations in the psoriatic plaques were found, when compared to the non-affected skin. Significant correlations were established between all polyamines levels and between methionine and spermine in both types of cutaneous samples. This study illustrates the tight relationship between Met and Polyamine levels in epidermis of psoriatic patients. Our results could be helpful in psoriasis treatment, highlighting the importance of the balanced protein diet and intake of vitamins B12 and B9.
Trade Volume Prediction Based on a Three-Stage Model When Arctic Sea Routes Open
Authors: Sui Yijie , Fu Dongjie , Su Fenzhen
Published: April 2021

With the advancement of global warming, the Arctic sea routes (ASRs) may open for the entire year. The ASRs will be far more competitive than they are now, and they will be the major international sea routes in the future. To date, most studies have researched the economic feasibility in the short term from a company’s perspective. To help to plan the shipping market in the future, we developed a three-stage model to simulate the trade demand of the ASRs for the long term. This model firstly considers the seasonal sea ice dynamics in the future and plans new paths for vessels shipping through the Arctic. Additionally, an improved trade prediction model was developed to adapt to the long-term forecasts. After verification, the accuracy of the model was found to be very high (R2 = 0.937). In comparison with another transportation cost model and a trade prediction model, our model was more reasonable. This study simulated the trade volumes of China, Europe (EU), and North America (NA) in 2100 with the ASRs open. The results show that the percentage of port trade can be up to 26% in representative concentration pathway (RCP)2.6, and the percentage of port trade can be up to 52% in RCP8.5.
A New Representation of Semiopenness of L-fuzzy Sets in RL-fuzzy Bitopological Spaces
Authors: Alshammari Ibtesam , Khalil Omar H. , Ghareeb A.
Published: April 2021

In this paper, we introduce a new representation of semiopenness of L-fuzzy sets in RL-fuzzy bitopological spaces based on the concept of pseudo-complement. The concepts of pairwise RL-fuzzy semicontinuous and pairwise RL-fuzzy irresolute functions are extended and discussed based on the (i,j)-RL-semiopen gradation. Further, pairwise RL-fuzzy semi-compactness of an L-fuzzy set in RL-fuzzy bitopological spaces are given and characterized. As RL-fuzzy bitopology is a generalization of L-bitopology, RL-bitopology, L-fuzzy bitopology, and RL-fuzzy topology, the results of our paper are more general.
A New Research Journal on Thermal Sciences: Thermo
Authors: Jacquemin Johan
Published: April 2021

I am honored to take on the role of Editor-in-Chief of Thermo (ISSN 2673-7264) effective from February 2021 [...]
Correcting HPV Vaccination Misinformation Online: Evaluating the HPV Vaccination NOW Social Media Campaign
Authors: Sundstrom Beth , Cartmell Kathleen B. , White Ashley A. , Well Henry , Pierce Jennifer Young , Brandt Heather M.
Published: April 2021

The human papillomavirus (HPV) vaccine provides protection from six HPV-related cancers. Approximately half of South Carolina adolescents have not completed the vaccination series, representing a missed opportunity to prevent cancer. The HPV Vaccination NOW: This is Our Moment social media campaign is an initiative of the South Carolina Cancer Alliance (SCCA) and Hollings Cancer Center at the Medical University of South Carolina (MUSC). This statewide social media campaign aimed to increase parental awareness of and build vaccine confidence around HPV vaccination in S.C. The ten-week campaign was strategically implemented between June and August 2019 to encourage HPV vaccination at back-to-school medical appointments. A process evaluation showed that the campaign resulted in over 370,000 total impressions, reached over 33,000 individuals, and culminated with over 1122 followers. There were over 2700 engagements on Facebook and Twitter. A qualitative content analysis indicated that pro-vaccine and anti-vaccine comments were dominated by personal stories. Comments promoting misinformation about the HPV vaccine were often countered through peer-to-peer dialogue. Findings suggest that creating opportunities for the target audience to engage with campaign messages effectively corrected misinformation.
Evaluation of TMD Performance in Footbridges Using Human Walking Probabilistic Models
Authors: Rezende Filipe , Brunet Otávio , Diniz Varela Wendell , Pereira André , Carvalho Eliane
Published: April 2021

Footbridges are generally slender and lightweight structures with low stiffness, designed to support dynamic loads generated by crowds. Therefore, these structures are exposed to vibration problems related to the resonance of human walking step frequencies and the lower vibration modes. To mitigate these problems, one of the most applied corrective strategies is the installation of tuned mass damper (TMD) systems that aim at the vibration reduction of the footbridge’s dominant mode. A fundamental matter in both the footbridge and the TMD design is the pedestrian load modelling, generally considered as a deterministically moving force or a biodynamic model. However, as human gait is a random process, the deterministic models can lead to non-realistic results, directly affecting the TMD system efficiency. In contrast, the use of probabilistic distributions to simulate the human walk randomness can lead to more reliable time series predictions. In this paper, a random walk (RW) algorithm is developed and applied to simulate different crowd scenarios using a simplified plane model of a coupled human-structure-TMD system. In each scenario, the TMD efficiency in reducing the vibration amplitudes is assessed. Results highlight the importance of considering the walking randomness and pedestrians’ dynamic properties in the TMD design.
An Enhanced Treatment of Boundary Conditions for 2D RANS Streamwise Velocity Models in Open Channel Flow
Authors: Figuérez Juan Alfonso , Galán Álvaro , González Javier
Published: April 2021

A 2D streamwise velocity model based on the Reynolds Averaged Navier–Stokes (RANS) is a useful approach to predict the boundary shear stress and the streamwise velocity in a free surface stream where secondary flows are not relevant. Boundary conditions treatment is a key aspect implementing these models. A low computational cost and fully predictive numerical model with a novel treatment of boundary conditions is presented. The main features of the modified model are the employment of a modified law of the wall valid for any roughness condition, the estimation of the boundary shear stress is done only focusing on the near-contour region, the use of a full-predictive physical based model for the eddy viscosity distribution and the incorporation of the free surface shear stress due to water–air interface. The validation of the proposed changes was performed with a substantial number of experimental cases available in the literature using different cross-section shapes (circular, rectangular, trapezoidal and compound section) and roughness condition with quite good agreement. Preliminary results suggest that the influence of the free surface boundary layer has a significant impact on the results for both the streamwise velocity and boundary shear stress in windy conditions. The proposed approach allows its considerations in practical applications.
Afghanistan’s Food Security: Evidence from Pakistan and Afghanistan Wheat Price Transmission using Threshold Vector Error Correction Model (TVECM))
Authors: Mahmood Tahir , Muluk Afaq Ali , Zubair Seema
Published: April 2021

Afghanistan's food security mainly depends on Pakistan's wheat prospect, circumstances, agriculture policies, and market price dynamics. This study explores the price transmission mechanism of the wheat flour and wheat grain between Pakistan and Afghanistan using monthly price pairs from January 2003 through October 2017. The paper investigates the existing knowledge of how Pakistan’s agricultural policy and wheat market affects the wheat market and food security of Afghanistan. The results confirm that the wheat flour price of Pakistan is found to be driving the price of wheat flour of Afghanistan. This implies that wheat flour price of Pakistan evolves independently, and that wheat flour price of Afghanistan balances any divergence in the long-run relationship between the two markets prices. The policy implication is to eradicate transaction costs as well as procuring timely wheat grain and flour, in order to maintain price stability between Pakistan and Afghanistan wheat markets.
MOLAR AMOUNT OF WATER
Authors: Mateják Marek , Kofránek Jiří
Published: April 2021

When modeling body fluids using physical chemistry, we en-countered a contradiction. We proceeded from the erroneous assumption that the molar amount of water in an aqueous so-lution is the molar amount of H2O molecules (mass divided by the mass of one H2O
molecule). Thus, in one kilogram of pure water, we calculated 55.508 moles of water because the molar mass of H2O is 18.01528 g / mol. When calculating the molar fractions as the molar amount of the substance divided by the solution's total molar amount, we thus obtained numerically completely different values than for molalities or molarities. According to the theory, these values should be substitutable. However, it turned out that using these values in the calculati-ons of the solubility of gases in aqueous solutions showed us an error of about 55 mol/kg. Similar errors began to be reported for chemical processes with different numbers of reactants and products (at the same number, the error is annulled algebrai-cally). So is the water molality really about 55 mol/kg? No. This is because water forms bonds with each other, which cluster more H2O molecules into larger particles. From the required molar amount of water, we derived the dissociation constant and enthalpy of this bond. The results are compatible with data from the National Institute of Standards and Technology (NIST) and the data of formation energies of individual substances. Using these constants, it is possible to derive the molar amount of water in aqueous solutions and subsequently make calculati-ons over molar fractions, the results of which begin to coincide with the measured and published experiments.
Aplicación móvil para Aprender Lengua de Señas Mexicana
Authors: Rojas-Chávez Keyla Arisbeth , Quini-Villegas Ricardo
Published: April 2021

This article presents the model of a mobile application, as a learning support tool, for children and adults who have a hearing disability or not, learning the Mexican Sign Language. This is to be achieved by means of animated images, a game and a translator who spells the words by means of the dactylographic alphabet. Supported by the Regular Education Support Services Unit (USAER), which is incorporated into the SEP, located in Morelia, Michoacán. Also like the Civil Association "My hands speak to help", which is located in Zitácuaro, Michoacán. Facilitating learning with this mobile application that is designed ad hoc to the eastern region of Michoacán, supported by sign language interpreters. The use of mobile technology allows more people to have access to this type of tools, facilitating learning and teaching. This is intended to human thinking to evolve so that people who have this condition can then contribute their ideas and knowledge in the future.
Mineralogy of the Vorontsovskoe gold deposit (Northern Urals). Part 2: native elements, sulfides, arsenides, tellurides
Authors: Kasatkin A.V. , Stepanov S.Yu. , Tsyganko M.V. , Skoda R. , Nestola F. , Plasil J. , Makovicky E. , Agakhanov A.A. , Palamarchuk R.S.
Published: April 2021

The paper continues a series of publications devoted to the mineralogy of the Vorontsovskoe gold deposit in the Northern Urals (Kasatkin et al., 2020). The paper reports on native elements, sulfdes, arsenides and tellurides discovered at the deposit, their chemical compositions, as well as unitcell parameters and optical properties of some minerals. Getchellite, duranusite, pararealgar and picotpaulite are found for the frst time in Russia.