bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing an Advanced PVT System for Sustainable Domestic Hot Water Supply
Authors: Roshanzadeh Behnam , Premer Levi Reyes , Mohan Gowtham
Published: March 2022

Energy consumption is steadily increasing with the ever-growing population, leading to a rise in global warming. Building energy consumption is one of the major sources of global warming, which can be controlled with renewable energy installations. This paper deals with an advanced evacuated hybrid solar photovoltaic–thermal collector (PVT) for simultaneous production of electricity and domestic hot water (DHW) with lower carbon emissions. Most PVT projects focus on increasing electricity production by cooling the photovoltaic (PV). However, in this research, increasing thermal efficiency is investigated through vacuum glass tube encapsulation. The required area for conventional unglazed PVT systems varies between 1.6–2 times of solar thermal collectors for similar thermal output. In the case of encapsulation, the required area can decrease by minimizing convective losses from the system. Surprisingly, the electrical efficiency was not decreased by encapsulating the PVT system. The performance of evacuated PVT is compared to glazed and unglazed PVTs, and the result shows a 40% increase in thermal performance with the proposed system. All three systems are simulated in ANSYS 18.1 (Canonsburg, PA, USA) at different mass flow rates and solar irradiance.
Classification of Electronic Components Based on Convolutional Neural Network Architecture
Authors: Atik Ipek
Published: March 2022

Electronic components are basic elements that are widely used in many industrial and technological fields. With the development of technology, their dimensions are being produced in smaller and smaller sizes. As a result, making fast distinctions becomes difficult. Being able to classify electronic components quickly and accurately will save labor and time in all areas where these elements are used. Recently, deep learning algorithms have become preferential in product classification studies due to their high accuracy and speed. In this paper, a classification study of electronic components was carried out with the deep learning method. A new convolutional neural network (CNN) model is proposed in the study. The model has six convolution layers, four pooling layers, two fully connected layers, softmax, and a classification layer. The training parameters of the network were determined as an ensemble size of 16, maximum period of 100, initial learning rate of 1 × 10−3, and the optimizing method sgdm. While determining the CNN model layers and training parameters, the values with the highest predictive values were selected as a result of the trials. Classification research was conducted using the pre-trained networks AlexNet, ShuffleNet, SqueezeNet, and GoogleNet for the same data, and their performance success parameters were compared to those of the proposed CNN model. The proposed CNN model showed higher performance than the other methods, and an accuracy value of 98.99% was obtained.
Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production
Authors: Sun Jing , Peng Yonggang , Lu Di , Chen Xiaofeng , Xu Weifeng , Weng Liguo , Wu Jun
Published: March 2022

Hydrogen refueling stations (HRSs) are critical for the popularity of hydrogen vehicles (fuel cell electric vehicles—FCEVs). However, due to high installation investment and operating costs, the proliferation of HRSs is difficult. This paper studies HRSs with on-site electrolytic production and hydrogen storage devices and proposes an optimization method to minimize the total costs including both installation investment and operating costs (OPT-ISL method). Moreover, to acquire the optimization constraints of hydrogen demand, this paper creatively develops a refueling behavior simulation method for different kinds of FCEVs and proposes a hydrogen-demand estimation model to forecast the demand with hourly intervals for HRS. The Jensen–Shannon divergence is applied to verify the accuracy of the hydrogen-demand estimation. The result: 0.029 is much smaller than that of the estimation method in reference. Based on the estimation results and peak-valley prices of electricity from the grid, a daily hydrogen generation plan is obtained, as well as the optimal capacities of electrolyzers and storage devices. As for the whole costs, compared with previous configuration methods that only consider investment costs or operating costs, the proposed OPT-ISL method has the least, 8.1 and 10.5% less, respectively. Moreover, the proposed OPT-ISL method shortens the break-even time for HRS from 11.1 years to 7.8 years, a decrease of 29.7%, so that the HRS could recover its costs in less time.
Operational Emissions in Prosuming Dwellings: A Study Comparing Different Sources of Grid CO2 Intensity Values in South Wales, UK
Authors: Fernández Goycoolea Juan Pablo , Zapata-Lancaster Gabriela , Whitman Christopher
Published: March 2022

This paper analysed operational CO2 emissions from electricity grid interaction in photovoltaic prosumer dwellings in South Wales, UK. Operational CO2 emissions were quantified in four prosumer dwellings aiming to analyse (1) the differences in the result when time-varying data and static emission factors are used, and (2) the association of load-matching indicators to the results. Electricity balance data were obtained through monitoring (April 2020 to March 2021), and three sources for the grid’s CO2 intensity were considered: (1) UK nationwide average time-varying values (UK), (2) South Wales (SW) average time-varying values and (3) the UK Government’s official CO2 emissions factor (EF) for the study period. UK and SW grid CO2 intensity were obtained as dynamic data flows in a 30 min resolution, whereas EF was a year constant. Gross CO2 emissions calculated using SW data reached the highest emissions results: between 67.5% and 69.3% higher than the results obtained using the UK time-varying data, and between 41.1% and 45.1% higher than using the EF. The differences between the obtained yearly net emissions using dynamic data and the EF in each studied dwelling ranged between 6.2% and 294%. Results also show that the definition of geographic boundaries for location-based approach calculations can significantly affect the obtained emissions values.
Analysis of the Potential Management of the Low-Carbon Energy Transformation by 2050
Authors: Jałowiec Tomasz , Wojtaszek Henryk , Miciuła Ireneusz
Published: March 2022

Establishing conditions that meet climate requirements should be one of the most important goals of the whole world in order to protect against the negative effects of climate change. Without cooperation and considerable commitment from everyone, it is possible that these negative effects will worsen. The implementation of the Energy Policy from now until 2050 should facilitate the transformation of the coal-based power system toward a more sustainable and diversified mix of energy sources. Financial investments in the countries analyzed in this paper create real opportunities and changes for the transition toward renewable energy sources (RES), but there is criticism concerning the insufficient speed of change and the costs of the transformation for society. The dominant emphasis on the optimum selection of energy sources creates conflicts, especially in democratic decision-making. Resource management is both incremental and participatory, and while decisions are strongly based on science, the decision-making process is rarely rational or comprehensive. It is difficult to estimate environmental costs, especially because there is no method for comparing the many criteria between the different energy sources since there are differences in the energy efficiency results obtained in different areas. Public opinion is of great importance and it has a huge influence on the development of the development strategies and policies that are undertaken. Therefore, as part of our analysis, we conducted research using a questionnaire to obtain opinions on fundamental issues regarding the climate and energy strategies that have been adopted in the EU. This was important for achieving the main goal of this article, which is a multidimensional analysis of activities aimed at adapting the national economy to the EU strategies that are responsible for reaching the energy and climate goals by 2050. The low-emission energy transformation is aimed at introducing significant changes for the entire economy while at the same time ensuring the implementation of the so-called European triad of goals (energy security, energy competitiveness and climate protection), which often contradict each other in practice.
Modeling and Comparative Analysis of Multi-Agent Cost Allocation Strategies Using Cooperative Game Theory for the Modern Electricity Market
Authors: Shandilya Smita , Szymanski Zdzislaw , Shandilya Shishir Kumar , Izonin Ivan , Singh Krishna Kant
Published: March 2022

The electrical market scenario has changed drastically in the last decade. In the presence of increased competition and less tolerant players, more sophisticated methods are required to balance the diversity and differential pricing while promoting cooperation among the agents. In the monopolistic environment, the central utility incurred the total cost of the transmission expansion. But as the current scenario demands, there are several public and private market players. The growth will benefit all the players, so the total cost in transmission expansion can be divided among players as per the benefit received by each player. In this paper, a transmission system expansion planning problem in the cooperative environment using cooperative game theory (CGT) is framed for the power sector, in which various players can cooperate in a coordinated manner to maximize their benefit but ultimately strengthen the power grid. In this paper, we have modeled, analyzed and compared various cost allocation methods of cooperative game theory specifically for the cost allocation in a transmission expansion planning problem. The present work focuses on forming coalitions to calculate the costs using the forward search and frog leap optimization approach. We have compared the SCRB, BSV, ENSC, and ACA methods for transmission expansion planning while attempting to satisfy the axioms. We have also observed that bilateral Shapely value efficiently allocated the costs due to its decentralized approach and the sequencing of coalition formations to achieve the best possible cost allocations.
Decoupling Investigation of Furnace Side and Evaporation System in a Pulverized-Coal Oxy-Fuel Combustion Boiler
Authors: Luo Zixue , Feng Zixuan , Wu Bo , Cheng Qiang
Published: March 2022

A distributed parameter model was developed for an evaporation system in a 35 MW natural circulation pulverized-coal oxy-fuel combustion boiler, which was based on a computational fluid dynamic simulation and in situ operation monitoring. A mathematical model was used to consider the uneven distribution of working fluid properties and the heat load in a furnace to predict the heat flux of a water wall and the wall surface temperature corresponding to various working conditions. The results showed that the average heat flux near the burner area in the air-firing condition, the oxy-fuel combustion with dry flue gas recycling (FGR) condition, and the oxy-fuel combustion with wet flue-gas recycle condition were 168.18, 154.65, and 170.68 kW/m2 at a load of 80%. The temperature and the heat flux distributions in the air-firing and the oxy-fuel combustion with wet FGR were similar, but both were higher than those in the oxygen-enriched combustion conditions with the dry FGR under the same load. This study demonstrated that the average metal surface temperature in the front wall during the oxy-fuel combustion condition was 3.23 °C lower than that under the air-firing condition. The heat release rate from the furnace and the vaporization system should be coordinated at a low and middle load level. The superheating surfaces should be adjusted to match the rising temperature of the flue gas while shifting the operation from air to oxy-fuel combustion, where the distributed parameter analytical approach could then be applied to reveal the tendencies for these various combustion conditions. The research provided a type of guidance for the design and operation of the oxy-fuel combustion boiler.
Afforestation Subsidy Determination for Haloxylon ammodendron (C.A.Mey.) Bunge in China Based on Cost–Benefit Analysis
Authors: Song Shuyu , Xu Duanyang , Zhang Xiaoyu
Published: March 2022

Subsidies are an effective instrument to encourage farmers to engage in afforestation which provides many ecosystem services. A scientific and reasonable subsidy level should reflect the demands of various stakeholders so that the subsidy scheme can be accepted by both farmers and the government. This study aimed to establish a framework for designing an afforestation subsidy to attract voluntary participation in a way that seeks to raise both farmers’ and government’s returns while reducing financial expenditure. The framework determines the optimal subsidy level by integrating direct costs, opportunity costs, and ecological benefits to conduct cost–benefit analysis over the period of afforestation. As a case study, we focus on the planting of Haloxylon ammodendron (C.A.Mey.) Bunge in Alxa, Inner Mongolia. The results show that the subsidy level required to motivate farmers is lower than the subsidy level according to the government’s willingness to pay. Under the optimal subsidy level, the government and farmers can reach a balance point that provides effective incentives for afforestation without requiring unreasonable spending. Additionally, the current subsidy is substantially lower than the recommended subsidy; there is still room for improvement in the subsidy policy. The research framework developed herein can help policy and decision makers to design afforestation subsidy schemes and contribute to ecological restoration in the future.
Modeling Conjugate Heat Transfer in an Anode Baking Furnace Using OpenFoam
Authors: Lahaye Domenico , Nakate Prajakta , Vuik Kees , Juretić Franjo , Talice Marco
Published: March 2022

The operation of large industrial furnaces will continue to rely on hydrocarbon fuels in the near foreseeable future. Mathematical modeling and numerical simulation is expected to deliver key insights to implement measures to further reduce pollutant emissions. These measures include the design optimization of the burners, the dilution of oxidizer with exhaust gasses, and the mixing of natural gas with hydrogen. In this paper, we target the numerical simulation of non-premixed turbulent combustion of natural gas in a single heating section of a ring pit anode baking furnace. In previous work, we performed combustion simulations using a commercial flow simulator combined with an open-source package for the three-dimensional mesh generation. This motivates switching to a fully open-source software stack. In this paper, we develop a Reynolds-Averaged Navier-Stokes model for the turbulent flow combined with an infinitely fast mixed-is-burnt model for the non-premixed combustion and a participating media model for the radiative heat transfer in OpenFoam. The heat transfer to the refractory brick lining is taken into account by a conjugate heat transfer model. Numerical simulations provide valuable insight into the heat release and chemical species distribution in the staged combustion process using two burners. Results show that at the operating conditions implemented, higher peak temperatures are formed at the burner closest to the air inlet. This results in a larger thermal nitric-oxide concentration. The inclusion of the heat absorption in the refractory bricks results in a more uniform temperature on the symmetry plane at the center of the section. The peak in thermal nitric-oxides is reduced by a factor of four compared to the model with adiabatic walls.
GrainGenes: Tools and Content to Assist Breeders Improving Oat Quality
Authors: Blake Victoria C. , Wight Charlene P. , Yao Eric , Sen Taner Z.
Published: March 2022

GrainGenes is the USDA-ARS database and Web resource for wheat, barley, oat, rye, and their relatives. As a community Web hub and database for small grains, GrainGenes strives to provide resources for researchers, students, and plant breeders to improve traits such as quality, yield, and disease resistance. Quantitative trait loci (QTL), genes, and genetic maps for quality attributes in GrainGenes represent the historical approach to mapping genes for groat percentage, test weight, protein, fat, and β-glucan content in oat (Avena spp.). Genetic maps are viewable in CMap, the comparative mapping tool that enables researchers to take advantage of highly populated consensus maps to increase the marker density around their genes-of-interest. GrainGenes hosts over 50 genome browsers and is launching an effort for community curation, including the manually curated tracks with beta-glucan QTL and significant markers found via GWAS and cloned cellulose synthase-like AsClF6 alleles.
Microbial Diversity and Contribution to the Formation of Volatile Compounds during Fine-Flavor Cacao Bean Fermentation
Authors: Tigrero-Vaca Joel , Maridueña-Zavala María Gabriela , Liao Hui-Ling , Prado-Lince Mónica , Zambrano-Vera Cynthia Sulay , Monserrate-Maggi Bertha , Cevallos-Cevallos Juan M.
Published: March 2022

Cacao demand is continuously increasing, and variations in cacao prices have been associated with the aroma of fermented cacao beans. However, the role of microorganisms in the formation of volatile-aroma compounds during fermentation remains unclear. Microbial diversity in Nacional × Trinitario cacao was characterized during spontaneous fermentation by using culture-based methods and next-generation sequencing (NGS) of DNA amplicons. Cacao beans that were spontaneously fermented for 0, 24, 48, 72 and 96 h were UV-sterilized prior to the inoculation of the microbial isolates obtained by the culture-based methods. The volatile formation in inoculated cacao beans was evaluated by GC-MS. The species isolated during fermentation included yeast, such as Saccharomyces cerevisiae and Candida metapsilosis; lactic acid bacteria (LAB), such as Limosilactobacillus fermentum and Liquorilactobacillus nagelii; acetic acid bacteria (AAB), such as Acetobacter pasteurianus, Acetobacter ghanensis and Acetobacter syzygii, as well as other species, such as Bacillus subtilis and Bacillus amyloliquefaciens. Additionally, NGS revealed an abundance of environmental microorganisms, including Escherichia spp., Pantoea spp., Staphylococcus spp., Botrytis spp., Tetrapisispora spp. and Pichia spp., among others. During the lab-scale fermentation, the inoculation of S. cerevisiae mostly yielded alcohols, while LAB and AAB produced volatiles associated with floral, almond and fruity notes throughout the fermentation, but AAB also produced acetic acid with a sour aroma. Similarly, the inoculation of C. metapsilosis and Bacillus spp. in 96 h fermented cacao beans yielded esters with floral aromas. This is the first report describing the role of microorganisms in volatile formation during fine-flavor cacao fermentation.
Development of Innovative Candied Chestnuts from Three Chestnut Cultivars Grown in Portugal
Authors: Foucher Laure , Barroca Maria João , Dulyanska Yuliya , Correia Paula M. R. , Guiné Raquel P. F.
Published: March 2022

The main purpose of this work is the development of a value-added product (candied chestnuts) from Portuguese chestnut (Castanea sativa) cultivars (Martainha, Longal and Judia), as a way to minimize product loss and wastes. To accomplish this goal, the effects of rehydration, cooking, and syrup conditions on composition, textural properties, and colour parameters of candied chestnuts were investigated. The obtained results revealed that the optimal conditions to prepare candied chestnuts with a sweet taste, dark brown colour, with a crispy texture on the outside and smooth texture in the inner flesh were rehydration at 45 °C for a period of 5 h, cooking in a pressure pan for 15 min, and an immersion process with sucrose syrup for two days (syrup with 25% of sucrose on the first day and syrup of 50% of sucrose on the second day). During the process, the drying loss, hydration ratio, and cooking gain of the different cultivars were about 90%, 79%, and 130%, respectively. The total colour difference of candied chestnuts ranged from 24.18 (Longal) to 29.95 (Judia), the stickiness was moderately intense, and the adhesiveness was high for the three varieties. Longal candied chestnuts were the softest and Martainha candied chestnuts were the hardest, the most elastic, and cohesive. Moreover, the candied chestnuts presented a moisture content ranging from 52.70% and 54.23%, amounts of carbohydrates in the range of 88.58 to 91.87 g/100 g d.m, values of protein (6.55–9.51 g/100 g d.m.), values of ash (0.78–1.98 g/100 g d.m.), and fat (0.87–1.58 g/100 g d.m.). In conclusion, the chestnuts of Portuguese cultivars Martainha, Longal and Judia reveal a good potential to produce candied products with high added value.
Temperature and Moisture Dependent Dielectric and Thermal Properties of Walnut Components Associated with Radio Frequency and Microwave Pasteurization
Authors: Mao Yuxiao , Hao Yujun , Guan Xiangyu , Wang Penghao , Wang Shaojin
Published: March 2022

To provide necessary information for further pasteurization experiments and computer simulations based on radio frequency (RF) and microwave (MW) energy, dielectric and thermal properties of walnut components were measured at frequencies between 10 and 3000 MHz, temperatures between 20 and 80 °C, and moisture contents of whole walnuts between 8.04% and 20.01% on a dry basis (d.b.). Results demonstrated that dielectric constants and loss factors of walnut kernels and shells decreased dramatically with raised frequency within the RF range from 10 to 300 MHz, but then reduced slightly within the MW range from 300 to 3000 MHz. Dielectric constant, loss factor, specific heat capacity, and thermal conductivity increased with raised temperature and moisture content. Dielectric loss factors of kernels were greater than those of shells, leading to a higher RF or MW heating rate. Penetration depth of electromagnetic waves in walnut components was found to be greater at lower frequencies, temperatures, and moisture contents. The established regression models with experimental results could predict both dielectric and thermal properties with large coefficients of determination (R2 > 0.966). Therefore, this study offered essential data and effective guidance in developing and optimizing RF and MW pasteurization techniques for walnuts using both experiments and mathematical simulations.
Alternatives to Cow’s Milk-Based Infant Formulas in the Prevention and Management of Cow’s Milk Allergy
Authors: Maryniak Natalia Zofia , Sancho Ana Isabel , Hansen Egon Bech , Bøgh Katrine Lindholm
Published: March 2022

Cow’s milk-based infant formulas are the most common substitute to mother’s milk in infancy when breastfeeding is impossible or insufficient, as cow’s milk is a globally available source of mammalian proteins with high nutritional value. However, cow’s milk allergy (CMA) is the most prevalent type of food allergy among infants, affecting up to 3.8% of small children. Hypoallergenic infant formulas based on hydrolysed cow’s milk proteins are commercially available for the management of CMA. Yet, there is a growing demand for more options for infant feeding, both in general but especially for the prevention and management of CMA. Milk from other mammalian sources than the cow, such as goat, sheep, camel, donkey, and horse, has received some attention in the last decade due to the different protein composition profile and protein amino acid sequences, resulting in a potentially low cross-reactivity with cow’s milk proteins. Recently, proteins from plant sources, such as potato, lentil, chickpeas, quinoa, in addition to soy and rice, have gained increased interest due to their climate friendly and vegan status as well as potential lower allergenicity. In this review, we provide an overview of current and potential future infant formulas and their relevance in CMA prevention and management.
Antiradical Potential of Food Products as a Comprehensive Measure of Their Quality
Authors: Gorbachev Victor , Klokonos Maria , Mutallibzoda Sherzodkhon , Tefikova Svetlana , Orlovtseva Olga , Ivanova Natalia , Posnova Galina , Velina Daria , Zavalishin Igor , Khayrullin Mars , Bobkova Elena , Kuznetsova Elena , Vorobeva Alla , Vorobyev Dmitry , Nikitin Igor
Published: March 2022

Antiradical potential (ARP) is an important measure of food safety. In addition, it directly or indirectly affects the rate of occurrence of a number of human pathologies. Using a photocolorimetric analysis of DPPH (2,2-diphenyl-1-picrylhydrazyl) solutions, we estimated the antiradical potential of food raw materials, food concentrates, biologically active substances, and wild plants. We conducted approximately 1500 analyses of almost 100 food products selected from 11 food groups: vegetables, milk, meat, fish, cereals and bread, drinks (including tea and coffee), etc. With a confidence interval (CI) of 95%, the average values for animal products range from 15.87 to 18.70 ascorbic acid equivalents per gram of dry matter. For plant materials, the range is 474.54–501.50 equivalents when wild herbs are included and 385.02–408.83 equivalents without taking herbs into account. The antiradical potential of the biologically active substances we studied ranged from 706.84 to 847.77 equivalents per gram of dry matter, which makes it possible to use some of the components to repair products with low ARP values, for example, bread and baked goods, confectionery, milk and dairy products, carbonated drinks, and juice. In this study, a low ARP value is associated with a reduction in the shelf life of products and a deterioration in their organoleptic properties; therefore, we propose using ARP as an important reference for describing the quality of food products and raw food materials.
The Complete Chloroplast Genomes of Primula obconica Provide Insight That Neither Species nor Natural Section Represent Monophyletic Taxa in Primula (Primulaceae)
Authors: Li Qiang
Published: March 2022

The genus Primula (Primulaceae) comprises more than 500 species, with 300 species distributed in China. The contradictory results between systematic analyses and morphology-based taxonomy make taxonomy studies difficult. Furthermore, frequent introgression between closely related species of Primula can result in non-monophyletic species. In this study, the complete chloroplast genome of sixteen Primula obconica subsp. obconica individuals were assembled and compared with 84 accessions of 74 species from 21 sections of the 24 sections of the genus in China. The plastome sizes of P. obconica subsp. obconica range from 153,584 bp to 154,028 bp. Genome-wide variations were detected, and 1915 high-quality SNPs and 346 InDels were found. Most SNPs were detected in downstream and upstream gene regions (45.549% and 41.91%). Two cultivated accessions, ZP1 and ZP2, were abundant with SSRs. Moreover, 12 SSRs shared by 9 accessions showed variations that may be used as molecular markers for population genetic studies. The phylogenetic tree showed that P. obconica subsp. obconica cluster into two independent clades. Two subspecies have highly recognizable morphological characteristics, isolated geographical distribution areas, and distinct phylogenetic relationships compared with P. obconica subsp. obconica. We elevate the two subspecies of P. obconica to separate species. Our phylogenetic tree is largely inconsistent with morphology-based taxonomy. Twenty-one sections of Primula were mainly divided into three clades. The monophyly of Sect. Auganthus, Sect. Minutissimae, Sect. Sikkimensis, Sect. Petiolares, and Sect. Ranunculoides are well supported in the phylogenetic tree. The Sect. Obconicolisteri, Sect. Monocarpicae, Sect. Carolinella, Sect. Cortusoides, Sect. Aleuritia, Sect. Denticulata, Sect. Proliferae Pax, and Sect. Crystallophlomis are not a monophyletic group. The possible explanations for non-monophyly may be hybridization, polyploidization, recent introgression, incorrect taxonomy, or chloroplast capture. Multiple genomic data and population genetic studies are therefore needed to reveal the evolutionary history of Primula. Our results provided valuable information for intraspecific variation and phylogenetic relationships within Primula.
Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
Authors: Wang Runshen , Ong Dominic E. L. , Peerun Mohammud I. , Jeng Dong-Sheng
Published: March 2022

The study of soil–structure interface behavior contributes to the fundamental understanding of engineering performance and foundation design optimization. Previous research studies the effect of soil characteristics and surface roughness property on the soil–material interface mechanism via interface shear test. The reviews utilizing past established laboratory studies and more recent tests based on state-of-the-art technologies reveal that surface roughness significantly affects interface shear performances in the studies of soil–structure interactions, especially in peak shear strength development. A preliminary but original investigative study by the authors was also carried out using a sophisticated portable surface roughness gauge to define the material surface roughness properties in order to study the interface behavior parametrically. Additionally, using the authors’ own original research findings as a proof-of-concept innovation, particle image velocimetry (PIV) technology is applied using a digital single-lens reflex (DSLR) camera to capture sequential images of particle interactions in a custom-built transparent shear box, which validate the well-established four-stage soil shearing model. The authors also envisaged that machine learning, e.g., artificial neural network (ANN) and Bayesian inference method, amongst others, as well as numerical modeling, e.g., discrete element method (DEM), have the potential to also promote research advances on interface shear mechanisms, which will assist in developing a greater understanding in the complex study of soil–structure interactions.
Oral Cavity Status of Type 1 Diabetic Patients Who Underwent an Oral Hygiene Tuition
Authors: Mosler Bartosz , Twardawa Henryk , Trzcionka Agata , Korkosz Rafał , Rahnama Mansur , Tanasiewicz Marta
Published: March 2022

Diabetes mellitus is a civilization disease which affects increasing number of people. Diabetes essentially influences gingival disease, periodontal disease, saliva secretion disorders and its parameters. The aim of the study is both assessing the oral cavity status of that group of patients to clearly identify their treatment needs and the effectiveness of implementation of oral hygiene training. 57 patients with type 1 diabetes and 31 healthy declared their contribution to the research. The research was conducted within two visits. The evaluation was done during clinical examination: teeth condition, oral hygiene. During the end of the first visit patients received professional oral hygiene instructions. Analysis of the clinical research in both groups showed no differences for Decayed- Missing- Filled teeth index and Dental Treatment Index. The results demonstrated disparity between the groups for the decayed teeth component and filled teeth component (symptomatically higher values in the researched group). There was statistically significant difference in the modified Sulcus Bleeding Index values analysis between both groups. Conducting hygiene instructions influenced the decline of Approximal Plaque Index and Oral Hygiene Index in the treatment group. It is essential for dentists in cooperation with diabetologists to educate patients on the necessity to maintain oral hygiene procedures.
Multimorbidity Profiles and Infection Severity in COVID-19 Population Using Network Analysis in the Andalusian Health Population Database
Authors: Carmona-Pírez Jonás , Ioakeim-Skoufa Ignatios , Gimeno-Miguel Antonio , Poblador-Plou Beatriz , González-Rubio Francisca , Muñoyerro-Muñiz Dolores , Rodríguez-Herrera Juliana , Goicoechea-Salazar Juan Antonio , Prados-Torres Alexandra , Villegas-Portero Román
Published: March 2022

Identifying the population at risk of COVID-19 infection severity is a priority for clinicians and health systems. Most studies to date have only focused on the effect of specific disorders on infection severity, without considering that patients usually present multiple chronic diseases and that these conditions tend to group together in the form of multimorbidity patterns. In this large-scale epidemiological study, including primary and hospital care information of 166,242 patients with confirmed COVID-19 infection from the Spanish region of Andalusia, we applied network analysis to identify multimorbidity profiles and analyze their impact on the risk of hospitalization and mortality. Our results showed that multimorbidity was a risk factor for COVID-19 severity and that this risk increased with the morbidity burden. Individuals with advanced cardio-metabolic profiles frequently presented the highest infection severity risk in both sexes. The pattern with the highest severity associated in men was present in almost 28.7% of those aged ≥ 80 years and included associations between cardiovascular, respiratory, and metabolic diseases; age-adjusted odds ratio (OR) 95% confidence interval (1.71 (1.44–2.02)). In women, similar patterns were also associated the most with infection severity, in 7% of 65–79-year-olds (1.44 (1.34–1.54)) and in 29% of ≥80-year-olds (1.35 (1.18–1.53)). Patients with mental health patterns also showed one of the highest risks of COVID-19 severity, especially in women. These findings strongly recommend the implementation of personalized approaches to patients with multimorbidity and SARS-CoV-2 infection, especially in the population with high morbidity burden.
Do Autistic Traits Correlate with Post-Traumatic Stress and Mood Spectrum Symptoms among Workers Complaining of Occupational Stress?
Authors: Dell’Osso Liliana , Buselli Rodolfo , Corsi Martina , Baldanzi Sigrid , Bertelloni Carlo Antonio , Marino Riccardo , Gravina Davide , Chiumiento Martina , Veltri Antonello , Massimetti Gabriele , Caldi Fabrizio , Perretta Salvio , Foddis Rudy , Guglielmi Giovanni , Cristaudo Alfonso , Carmassi Claudia
Published: March 2022

The adult autism subthreshold spectrum model appears to be a useful tool for detecting possible vulnerability factors in order to develop mental disorders in the contest of work-related stress. The aim of the present study is to analyze the relationship between autism, mood, and post-traumatic spectrum in a cohort of subjects complaining of work-related stress before the COVID-19 pandemic. The authors carried out a retrospective investigation of both medical records and self-assessment tools of a sample of subjects evaluated at the Occupational Health Department of a University hospital in central Italy. Data showed significant correlations between the AdAS spectrum, TALS-SR, and MOODS total and domain scores. A multiple linear regression evidenced that both the AdAS spectrum and TAL-SR significantly predict the MOODS scores. In particular, mediation analysis showed both a direct and indirect, mediated by TALS-SR, effect of the AdAS Spectrum on the MOODS-SR. These results corroborate the role of autistic traits in influencing the traumatic impact of work-related stress and the development of mood spectrum symptoms.
Does Androgen Deprivation for Prostate Cancer Affect Normal Adaptation to Resistance Exercise?
Authors: Nilsen Tormod S. , Johansen Sara Hassing , Thorsen Lene , Fairman Ciaran M. , Wisløff Torbjørn , Raastad Truls
Published: March 2022

Background: Loss of muscle mass and muscle function is a common side effect from androgen deprivation therapy (ADT) for prostate cancer (PCa). Here, we explored effects of heavy-load resistance training (RT) on lean body mass and muscle strength changes reported in randomized controlled trials (RCTs) among PCa patients on ADT and in healthy elderly men (HEM), by comparison of results in separate meta-analysis. Methods: RCTs were identified through databases and reference lists. Results: Seven RCTs in PCa patients (n = 449), and nine in HEM (n = 305) were included. The effects of RT in lean body mass change were similar among PCa patients (Standardized mean difference (SMD): 0.4, 95% CI: 0.2, 0.7) and HEM (SMD: 0.5, 95% CI: 0.2, 0.7). It is noteworthy that the within group changes showed different patterns in PCa patients (intervention: 0.2 kg; control: −0.6 kg) and HEM (intervention: 1.2 kg; control: 0.2 kg). The effects of RT on change in muscle strength (measured as 1 RM) were similar between PCa patients and HEM, both for lower body- (PCa: SMD: 1.9, 95% CI: 1.2, 2.5; HEM: SMD: 2.2, 95% CI: 1.0, 3.4), and for upper body exercises (PCa: SMD: 2.0, 95% CI: 1.3, 2.7; HEM: SMD: 1.9, 95% CI: 1.3, 2.6). Conclusions: The effects of RT on lean body mass and 1 RM were similar in PCa patients on ADT and HEM, but the mechanism for the intervention effect might differ between groups. It seems that RT counteracts loss of lean body mass during ADT in PCa patients, as opposed to increasing lean body mass in HEM.
Rapid Antigen Test LumiraDxTM vs. Real Time Polymerase Chain Reaction for the Diagnosis of SARS-CoV-2 Infection: A Retrospective Cohort Study
Authors: Cattelan Anna Maria , Sasset Lolita , Zabeo Federico , Ferrari Anna , Rossi Lucia , Mazzitelli Maria , Cocchio Silvia , Baldo Vincenzo
Published: March 2022

Background: Real time reverse transcription polymerase chain reaction (real time RT-PCR) testing is the gold standard for the diagnosis of SARS-CoV-2 infections. However, to expand the testing capacity, new SARS-CoV-2 rapid antigen tests (Ag-RDTs) have been implemented. Ag-RDTs are more rapid, but less reliable in terms of sensitivity, and real-life data on their performance in comparison with the real time RT-PCR test are lacking. Methods: We aimed at assessing the diagnostic performance of the third-generation antigenic swab LumiraDx™ compared with real time RT-PCR in a retrospective cohort study at the Infectious Diseases Unit of Padua. All of the patients who were consecutively tested for SARS-CoV-2 in our centre (by both real time RT-PCR and Ag-RTD LumiraDxTM) from 19 January to 30 May 2021, were included. Cycle-threshold (Ct) values of positive real time RT-PCR were recorded as well as the number of days from symptoms’ onset to testing. Results: Among the 282 patients included, 80.9% (N = 228) tested positive to real time RT-PCR, and among these, 174 tested positive also to LumiraDx™. Compared with real time RT-PCR, which is considered as the gold standard for the assessment of the presence/absence of SARS-CoV-2 infection, LumiraDx™ showed an overall sensitivity of 76.3% and specificity of 94.4%. Sensitivity increased to 91% when testing was performed <10 days from symptoms’ onset, and to 95% when considering Ct < 25. Multivariable binomial logistic regression showed that false negative LumiraDx™ results were significantly associated with high Ct values, and with further testing from symptoms’ onset. Conclusions: The results of our study suggested that the LumiraDx™ SARS-CoV-2 antigen assay may be appropriate for the detection of SARS-CoV-2 infection, especially in its early phase when the test largely meets the performance requirements of the European Centre for Disease Prevention and Control (ECDC).
Phytoplankton Composition and Ecological Status of Lakes with Cyanobacteria Dominance
Authors: Poniewozik Małgorzata , Lenard Tomasz
Published: March 2022

Phytoplankton is one of the five biological quality elements used in the assessment of the ecological status of surface waters according to the European Water Framework Directive established in 2000. In this study, we determined the ecological status of three small and shallow lakes in the Polesie Plain, Eastern Poland, by using indices based on phytoplankton assemblages. The predominant phytoplankton of all three lakes were filamentous cyanobacteria, both heterocystous and non-heterocystous, represented by the genera Aphanizomenon, Planktothrix, Limnothrix, and Planktolyngbya. We used the Hungarian Q index, German PSI (Phyto-See-Index), and recently developed PMPL (Phytoplankton Metrics for Polish Lakes) for Polish lakes. We compared the results from the calculation of the indices to physicochemical data obtained from the lake water and Carlson’s Trophy State Index (TSI). On the basis of TSI, Gumienek and Glinki lakes were classified as advanced eutrophic, whereas Czarne Lake had a better score and was classified as slightly eutrophic. The trophic state was generally confirmed by the ecological status based on phytoplankton indices and also showed the diverse ecological situation in the lakes studied. Based on the Polish PMPL, Gumienek Lake was classified as having bad status (ecological quality ratio (EQR) = 0.05), whereas Glinki and Czarne lakes were classified within the poor status range (EQR = 0.25 and 0.35, respectively). However, based on the German PSI, the lakes were classified in a different manner: the status of Gumienek and Czarne lakes was better, but unsatisfactory, because they were still below the boundary for the good status category recommended by the European Commission. The best ecological status for the studied lakes was obtained using the Q index: Gumienek Lake with EQR = 0.42 had a moderate status, and Czarne Lake with EQR = 0.62 obtained a good status. However, Glinki Lake, with EQR = 0.40, was classified at the boundary for poor and moderate status. Based on our study, it seems that the best index for ecological status assessment based on phytoplankton that can be used for small lakes is the Polish (PMPL) index.
Religious Coping Styles and Depressive Symptoms in Geriatric Patients: Understanding the Relationship through Experiences of Integrity and Despair
Authors: Desmet Lindsy , Dezutter Jessie , Vandenhoeck Anne , Dillen Annemie
Published: March 2022

Older persons are often confronted with challenging events in their lives. Religion can offer them a way to deal with these challenges. The study of religious coping styles helps us to understand how people find support in their religion or wrestle with aspects of their religion when they are confronted with difficulties. Especially when older adults face illness and hospitalization, religious coping styles might be triggered. Despite the fact that the public role of religion, especially Christianity, is diminishing in West European societies, a large group of Belgian geriatric patients call themselves religious. Previous studies have shown that there is a link between positive/negative religious coping styles and the depressive symptoms that often occur in older adults. More recently, some scholars have emphasized that this relationship is more complex. Therefore, this paper investigates the role of one possible underlying mechanism between positive/negative religious coping styles and depressive symptoms in geriatric patients, namely the developmental process of integrity and despair as two factors within this mechanism. One hundred thirty-nine geriatric inpatients from three hospitals in Belgium who reported to feel religiously affiliated were involved in this study. Our results indicate that experiences of integrity and despair function as an explanatory pathway in the relationship between negative religious coping styles and depressive symptoms. Further, a direct link was found between both when accounting for experiences of integrity and despair. For positive religious coping styles, no direct or indirect relationship with depressive symptoms was found. In healthcare, geriatric caregivers need to be aware of the interaction between positive and negative religious coping styles, the developmental process of integrity and despair, and depressive symptoms.
Synthesis and Vibrational Circular Dichroism Analysis of N-Heterocyclic Carbene Precursors Containing Remote Chirality Centers
Authors: Szabó Zita , Paczal Attila , Kovács Tibor , Mándi Attila , Kotschy Andras , Kurtán Tibor
Published: March 2022

VCD analysis of 16 diastereomeric pairs of NHC precursors containing two isolated chirality centers and different substitution patterns identified VCD transitions characteristic of the chirality center in the imidazolium ring or in the side chain, which, in contrast to ECD and OR, could be utilized to assign the two chirality centers separately by simple comparison, regardless of the type and position of achiral aromatic substituents. While the ECD and OR data showed great dependence on the position of an achiral substituent such as a methoxy group, characteristic experimental VCD transitions remained consistent and they could be used to determine the absolute configuration of all the regio- and stereoisomers and substituted analogues. VCD, ECD and OR approaches were evaluated, and several carbene precursors were found, for which only the VCD method could distinguish the four stereoisomers. With t-butyl, phenyl or 2-naphthyl substituents at the C-1′ chirality center, the ECD spectra of the C-1′ epimers were near-identical, and hence it was only the VCD approach that showed distinct differences suitable for the configurational assignment. The chiroptical characterization of our diastereomeric pairs of NHC precursors enables the future application of related derivatives having different substitution patterns in stereoselective transformations.
Structured Long-Chain Omega-3 Fatty Acids for Improvement of Cognitive Function during Aging
Authors: Mora Ignasi , Arola Lluís , Caimari Antoni , Escoté Xavier , Puiggròs Francesc
Published: March 2022

Although the human lifespan has increased in the past century owing to advances in medicine and lifestyle, the human healthspan has not kept up the same pace, especially in brain aging. Consequently, the role of preventive health interventions has become a crucial strategy, in particular, the identification of nutritional compounds that could alleviate the deleterious effects of aging. Among nutrients to cope with aging in special cognitive decline, the long-chain omega-3 polyunsaturated fatty acids (ω-3 LCPUFAs) docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), have emerged as very promising ones. Due to their neuroinflammatory resolving effects, an increased status of DHA and EPA in the elderly has been linked to better cognitive function and a lower risk of dementia. However, the results from clinical studies do not show consistent evidence and intake recommendations for old adults are lacking. Recently, supplementation with structured forms of EPA and DHA, which can be derived natural forms or targeted structures, have proven enhanced bioavailability and powerful benefits. This review summarizes present and future perspectives of new structures of ω-3 LCPUFAs and the role of “omic” technologies combined with the use of high-throughput in vivo models to shed light on the relationships and underlying mechanisms between ω-3 LCPUFAs and healthy aging.