Literature-based Data Research Articles

Islamic Education Curriculum that Focuses on Moral Development in a Hadith Perspective

The purpose of this study is to find out an overview of how the Islamic education curriculum focuses on moral development in the perspective of the hadith of the Prophet Muhammad SAW. The type of research used in this study is using qualitative methods and library research which processes literature-based data, while the source of literature in this article is a journal that is relevant to the research And the approach used is content analysis by studying the material descriptively and in depth. The results of this study show that all the hadiths about morals listed in this study contain guidance for the practice of noble moral values that are urgently needed by every Muslim in his life in this world, related to his relationship with Allah and his interaction with fellow creatures.

Advances in granular flow modeling: GPU-based multi-sphere DEM approach and tumbling mill dynamics

Modeling irregular-shaped particulate flow systems poses challenges, especially in mineral processing where accurate representation of particle shape is crucial for capturing macroscopic behavior. The multi-sphere approach, employing DEM, addresses this by approximating particles as overlapping spheres within GPU computing. This study validates particle flow dynamics using literature-based data, showcasing the model’s fidelity and GPU advantages. However, calibration and shape approximation limitations require careful consideration. A quaternion-based orientation method enhances DEM and validates experimental data from packing, hoppers, and tumbling mills. Simulations reveal how particle shape influences granular dynamics, affecting lift-off tendencies, responses to lifter face angles, and power draw trends with mill speed changes. Cubical and spherical particles exhibit orderly packing behavior, contrasting with irregular shapes. This investigation underscores the significant role of particle shape in granular dynamics and its implications for industrial processes.

Environmental Impact Assessment of Organic Wheat Cracker Value Chains with and without Nettle Powder as a Natural Additive: A Case of Sweden

Due to the growing global population and consequent increased demand for food, the global production of cereal crops has increased. Wheat is one of the most important food crops in the world, as its products, e.g., bread and crackers, have served as important sources of nutrition for many years. However, the environmental impacts of wheat-derived food products are not frequently explored. This study presents an environmental impact assessment of organic wheat crackers within the context of Swedish winter wheat production using both primary and literature-based data. A cradle-to-consumer gate life cycle analysis (LCA) approach using the functional unit (FU) of 1 kg of crackers was applied while considering two cracker value chains: (i) without additives and (ii) using nettle powder as a natural additive. Four environmental impact categories—cumulative energy demand (CED), climate change impact (GWP), acidification, and eutrophication—were explored, with a particular focus on CED and GWP. The analysis results indicated that the total CED values were about 13 MJ/FU and 14 MJ/FU for crackers without and with the additive, respectively. Similarly, the total GWP values were 379 g CO2 eq/FU and 464 g CO2 eq/FU, respectively. The post-harvest processing and handling stage was an environmental hot spot in both cases. The introduction of the nettle additive has increased the quantified values of all four of the investigated impact categories. These insights will enable food processors and policy makers to communicate the environmental impacts and make informed decisions to improve the sustainability of wheat crackers. This paper contributes to a database of the environmental impacts of wheat products, specifically LCA data of organic wheat crackers and the LCA method for further LCA studies of snacks and other wheat products with plant-based functional additives.

A detailed kinetic submechanism for OH[formula omitted] chemiluminescence in hydrogen combustion revisited. Part 1

In this series of two papers, we present a novel physically sound kinetic submechanism aimed at modeling the formation and decay of chemiluminescent (electronically excited) OH∗ molecules in the ignition and combustion of hydrogen and hydrogen-based mixtures over a wide range of thermodynamic parameters and mixture compositions. The present part of this series describes the preparatory stages of the work, such as the aggregation of the data set for the OH∗ chemiluminescent emission (including the OH∗ emission profiles obtained in our shock-tube experiments), the choice of the basic kinetic model of hydrogen oxidation, and, importantly, quantum chemical calculations and theoretical estimates for the rate constant of the nonadiabatic preassociation reaction H + O + M ⇆ OH∗ + M, recognized as a major source of excited OH∗ molecules in hydrogen-air flames. These rate constant estimates are carried out in a wide range of temperatures (200–4000 K) and pressures (10−3−100 bar). It is shown that the rate constant of this key reaction exhibits distinct non-Arrhenius temperature behavior and, moreover, has a complex fall-off pressure dependence, with the transition from a third to a second-order, high-pressure regime occurring at pressures about 10 atm. The obtained dependence on temperature and pressure is in excellent agreement with the known experimental data and can be recommended (as part of the appropriate reaction mechanisms) for further kinetic modeling of OH∗ chemiluminescence accompanying the high-temperature oxidation of hydrogen and other fuels.Novelty and Significance StatementAlthough ultraviolet OH∗ chemiluminescence as an optical signature of the combustion process and the underlying chemistry is known to provide unique capabilities for combustion diagnostics, the development of the detailed reaction mechanisms intended for quantitative interpretation of the OH∗ emission measurements has now almost stagnated. Indeed, existing kinetic models contain a discouragingly small number of elementary processes and, apparently, do not account for the full variety of possible reaction pathways of OH∗ formation and depletion. Therefore, in this serial work, we have revised the current ideas about the kinetics of OH∗ production and consumption during ignition and combustion and focused first on the OH∗ kinetics in a reacting H2/O2/Ar/N2 mixture. The fundamentally significant and novel results of this Part of the present series are (i) the rate constant of the nonadiabatic preassociation reaction H + O + M ⇆ OH∗ + M (the primary source of OH∗ in hydrogen combustion), theoretically obtained for the first time as a function of temperature and pressure, and (ii) the OH∗ emission profiles obtained in our shock-tube experiments. The other aspects described here, such as the aggregation of the literature-based data set for the post-shock OH∗ chemiluminescent emission and the choice of the basic kinetic model of hydrogen oxidation, are also of interest and relevance.

Life Cycle Assessment of Dried Organic Apple Value Chains Considering Conventional and Heat-Pump-Assisted Drying Processes: The Case of Sweden

The increasing population pressure and demand for quality food, and the significant burden of agriculture on the environment, impede the sustainable development of the food sector. Understanding the environmental performance of different agricultural technologies and food value chains and identifying improvement opportunities play important roles in the sustainable development of this sector. This article presents the results of an environmental impact assessment of organic dried apples produced and supplied in Sweden, which was conducted using primary and literature-based data. A “cradle-to-consumer gate” life cycle analysis (LCA) method with a functional unit (FU) of 1 ton of fresh organic apples at the farm stage was used while considering conventional drying and heat-pump (HP)-assisted apple-drying techniques. The main environmental impact categories investigated were cumulative energy demand (CED), climate change impact (GWP), acidification potential (AP), and eutrophication potential (EP). The results indicate that the total CED values were 7.29 GJ and 5.12 GJ per FU for the conventional drying and HP-assisted drying methods, respectively, i.e., a reduction of about 30%. Similarly, the GWP values were 130 kg CO2 eq and 120 kg CO2 eq per FU, respectively. These findings highlight the importance of improving energy use and process efficiency to increase the sustainability of dried organic apple value chains.

Automatically Generated Datasets: Present and Potential Self-Cleaning Coating Materials

The rise of urbanization coupled with pollution has highlighted the importance of outdoor self-cleaning coatings. These revolutionary coatings contribute to the longevity of various surfaces and reduce maintenance costs for a wide range of applications. Despite ongoing research to develop efficient and durable self-cleaning coatings, adopting systematic research methodologies could accelerate these advancements. In this work, we use Natural Language Processing (NLP) strategies to generate open- and traceable-sourced datasets about self-cleaning coating materials from 39,011 multi-disciplinary papers. The data are from function-based and property-based corpora for self-cleaning purposes. These datasets are presented in four different formats for diverse uses or combined uses: material frequency statistics, material dictionary, measurement value datasets for self-cleaning-related properties and optical properties, and sentiment statistics of material stability and durability. This provides a literature-based data resource for the development of self-cleaning coatings and also offers potential pathways for material discovery and prediction by machine learning.

New records for the wild bee fauna (Hymenoptera, Anthophila) of Serbia

Numerous scientific projects have been initiated with the aim of tackling the decline in insect pollinators, a crucial group for the functioning of terrestrial ecosystems. One of the first steps is to address information gaps on species spatial distribution, diversity, and abundance that prevent effective conservation actions in Europe. Given that Serbia belongs to the understudied areas, efforts are being made to improve knowledge of its bee diversity and abundance. The present study includes the monitoring of bees at 54 sites, surveyed three times during 2022. The conducted protocol combined two methods, transect walks and pan traps, resulting in the discovery of 312 bee species. The main results present the records of 25 species, not previously mentioned in Serbia, while another important finding is the confirmation of the presence of 26 species, without any available records from the 21st century. Moreover, 79 here examined species were known only from literature-based data. Six of the recorded species are considered threatened and 67 (10 newly recorded) have been assessed as Data Deficient in the European Red List of Bees. Therefore, the present study not only contributes to an update and confirms the list of bee species in Serbia, that now counts 731 species, but also provides additional information about European distribution, required for new assessment at the European level. In addition, the results indicate that the combination of complementary sampling methods is an effective way to assess bee diversity and abundance.

TINJAUAN YURIDIS PERJANJIAN PERDAMAIAN PADA PROSES PENUNDAAN KEWAJIBAN PEMBAYARAN UTANG

Peace agreements are crucial to PKPU's goal of helping creditors restructure their debts. This research addresses how to arrange the peace agreement as a debt restructuring step in the Postponement of Debt Payment Obligations (PKPU), how it is used in the Suspension of Debt Payment Obligations process in Decision Number 90/Pdt.PKPU/2020/PN Niaga.Jkt.Pst, and how the ratification of the peace agreement is related to the absence of a Compensation for Services for the Management Team agreement. This thesis uses normative legal descriptive analysis—literature-based data collecting. Data analysis was qualitative. Peace agreements as debt restructuring in PKPU are regulated under Articles 265-294 of the Civil Code in Chapter III of the PKPU UUK. The debt restructuring and receivables collection allowed the Debtor to enhance his business conditions under the peace agreement. The judge granted the peace agreement in the PKPU process in Decision Number 90/Pdt.PKPU/ 2020/Pn.Jkt.Pst based on legal considerations based on Article 281 paragraph (1) letters a and b UUK PKPU. There is no reason to reject the debtor's peace plan despite criticism from one creditor. The peace agreement was ratified without a Management Team compensation agreement in the PKPU procedure in Decision Number 90/Pdt. The judge, PKPU/2020/Pn.Jkt.Pst, stated that the Management Team's pay could be established separately after the Homologation Decision. Therefore, the Ratification of the Peace should be accepted.

Impact of High-Performance Human Resource Practices, Self-Efficacy and Proactive Personality on Employee’s Job Performance: A Conceptual Model

This study attempts to present a model in explaining a mechanism which ensures job performance of employees. A series of activities, which were already well researched in an isolated manner in different contexts were incorporated to develop this model. The literature-based data compilation was done to develop this model. Thereby, the Job Demand Resource Model (JD-R model) has been adopted to examine the impact of employees’ perceptions of High-performance Human Resource Practices (HPHRPs) and their job performance through personal resources such as self-efficacy and proactive personality. Therefore, when HPHRPs offer job resources to the employees, they can utilize the resources such as knowledge, skills and ability to build and enhance their personal resources to ensure their job performance in the work context. However, the JD-R model does not enough explain to make the resources connection process by the employees to be different, then resulting in varying their job performance levels. The main aim of this study is to address this lacuna by explaining to what extent employees have perceived that HPHRP has an impact on their job performance through self-efficacy and proactive personality. The main theoretical contribution is that it integrates HPHRPs, personal resources, and employees’ job performance within the same conceptualization by expanding the boundary conditions of the JD-R model. Further, this paper would make theoretical contributions and implications for managers and academics in this field.

Centaurea triumfetii essential oil chemical composition, comparative analysis, and antimicrobial activity of selected compounds

The essential oils from the Centaurea genus are well known for their pharmacological properties. The most abundant and dominant chemical components in Centaurea essential oils are ß-caryophyllene, hexadecanoic acid, spathulenol, pentacosane, caryophyllene oxide, and phytol. However, whether these dominant components are the key drivers for observed antimicrobial activity remains unclear. Thus, the aim of this study was dual. Here we provide comprehensive, literature-based data to correlate the chemical compounds in Centaurea essential oils with the tested antimicrobial activity. Secondly, we characterized the essential oil of Centaurea triumfettii All. squarrose knapweed using coupled system gas chromatography–mass spectrometry and tested its phytochemicals for antimicrobial activity against E. coli and S. epidermis using disc diffusion assay and monitoring their growth in Muller Hinton broth. The most abundant compounds in C. triumfettii essential oil were hexadecanoic acid (11.1%), spathulenol (10.8%), longifolene (8.8%), germacrene D (8.4%), aromadendrene oxide (6.0%) and linoleic acid (5.3%). Based on our analysis of literature data from other Centaurea essential oils, they were positively correlated with antimicrobial activity. Using an agar disk diffusion method, tested chemical constituents did not show experimental evidence to support this positive correlation to antimicrobial activity when we tested them as pure components. The antibacterial effect of essential oil constituents may be related to a complex synergistic, rather than a single component as suggested by performed network pharmacology analysis, underlying the theoretical interactions between the essential oil phytochemicals listed as potentially responsible for antimicrobial activity and should be confirmed in further in-depth studies. This is the first report on the comparative analysis of Centaurea essential oils with good antimicrobial activity, as well as the first analysis of chemical components of the essential oil from C. triumfettii and the first report of antimicrobial activity of the representative, pure components: aromadendrene, germacrene D, spathulenol, longifolene, and the mixture of selected chemical compounds. This work contributes to the body of knowledge on the genus Centaurea and C. triumfettii species.

Modern methods to assess accommodation reflex (literature review)

Background. Determination of reflex accommodation indicators is of particular interest, both from clinical and scientific points of view. However, the heterogeneity of methods and approaches for evaluation of results obtained makes it necessary to compare and confront them in details.Purpose: to summarize and systematize the literature-based data of modern accommodation measurement methods.Methods. The analysis of domestic monographs was carried out. The domestic and foreign articles on eLibrary and PubMed within the last 20 years were analyzed. The articles with an incomplete selection criteria and statistically unreliable results (p < 0.05) were excluded.Results. Though the measurements of reflex accommodation indicators by subjective methods are consistent with each other, they are overestimated compared to the results of objective studies. Among the objective methods, special attention should be paid to the open-field autorefractometers as they level possible instrumental accommodation that is typical for the closed-field autorefractometers. Regarding this, it is necessary to clarify the methods used in the studies of this direction. By taking into account the indicators of reflex accommodation for assessing pathological conditions and treatment results, it is necessary to consider relative (i. e., comparative) measurement values but not absolute ones.Conclusion. The analysis of literature sources showed that the modern approaches of reflex accommodation study were very different. The methods discussed in this review are suitable for both clinical and scientific practice application. However, a mandatory reference to the method used is required for a correct assessment of results.

Geotechnical and Shear Behavior of Novel Lunar Regolith Simulants TUBS-M, TUBS-T, and TUBS-I.

The return to the Moon is an important short-term goal of NASA and other international space agencies. To minimize mission risks, technologies, such as rovers or regolith processing systems, must be developed and tested on Earth using lunar regolith simulants that closely resemble the properties of real lunar soil. So far, no singular lunar simulant can cover the multitude of use cases that lunar regolith involves, and most available materials are poorly characterized. To overcome this major gap, a unique modular system for flexible adaptable novel lunar regolith simulants was developed and chemically characterized in earlier works. To supplement this, the present study provides comprehensive investigations regarding geotechnical properties of the three base regolith simulant systems: TUBS-M, TUBS-T, and TUBS-I. To evaluate the engineering and flow properties of these heterogeneous materials under various conditions, shear tests, particle size analyses, scanning electron microscope observations, and density investigations were conducted. It was shown that small grains <25 µm (lunar dust) are highly compressive and cohesive even at low external stress. They are particularly important as a large amount of fine dust is present in lunar regolith and simulants (x50 = 76.7 to 96.0 µm). Further, ring shear and densification tests revealed correlations with damage mechanisms caused by local stress peaks for grains in the mm range. In addition, an explanation for the occurrence of considerable differences in the literature-based data for particle sizes was established by comparing various measurement procedures. The present study shows detailed geotechnical investigations of novel lunar regolith simulants, which can be used for the development of equipment for future lunar exploration missions and in situ resource utilization under realistic conditions. The results also provide evidence about possible correlations and causes of known soil-induced mission risks that so far have mostly been described phenomenologically.

Penilaian Mutu Pendidikan Berdasarkan Ketersediaan Sarana Prasarana di Masa Pandemi Covid-19 Menggunakan Metode AHP

This study aims to know the infrastructures used for the teaching-learning process and the effort made to improve education quality during the pandemic of Covid-19. The method used by the researcher was descriptive qualitative. The subjects of this study were four senior high schools in Salatiga. AHP method approach was used in conducting this study. Meanwhile, Questionnaires and interviews were used as instruments for data retrieval. The data collected will be analyzed using literature-based data triangulation techniques. The results showed that some criteria have a high impact on improving the quality of education based on infrastructure tools: bandwidth with 0,397 (39%), lcd with 0,245 (24%), computer lab with 0,242 (24%), the number of computers 0,064 (6%), and the last was the access point with 0.053 (5%).

Evaluating the Impact of Ionization Chamber-Specific Beam Quality Correction Factor in Dosimetry of Filtered and Unfiltered Photon Beams.

Aim:The response of ionization chamber changes when used at beam quality Q which is different from beam quality Qo (usually 60Co) that was used at the time of its calibration. Hence, one needs to apply beam quality correction factor (kQ, Qo) during dosimetric measurements. However, kQ, Qo data are unavailable for novel ion chambers in the literature. Moreover, most of such data do not differentiate between filtered (flat) and unfiltered (unflat) beams. In addition, literature-based data do not differentiate among different pieces of the ion chambers of the same make and model. Hence, the purpose of our study was to determine the ion chamber-specific experimental values of kQ, Qo and to evaluate their impact in dosimetry.Materials and Methods:In this work, the value of kQ, Qo were measured for six ionization chambers of three different types in 6, 10, and 15 MV filtered (with flattening filter [WFF]) as well as 6 and 10 MV unfiltered (flattening filter free [FFF]) photon beams. The measured values of kQ, Qo were compared with Monte Carlo-calculated values available in the literature. The uncertainties in measurement of kQ, Qo values were also evaluated.Results:For 6 MV FFF beam, the measured value of kQ, Qo was found to be consistently lower than 6 MV WFF beam for all Sun Nuclear Corporation ion chambers, while it was higher as per the theoretical data. The inter-chamber variation in kQ, Qo values was observed for the same model of the ion chambers. The maximum difference between absolute dose values on using the theoretical and experimental kQ, Qo values was up to 3.23%.Conclusion:The measured absolute dose values by the ion chamber of a given make and model were found different due to the use of its theoretical and experimental kQ, Qo values. Furthermore, the variation in response of different pieces of ion chambers of the same make and model cannot be accounted for theoretically, and hence, the use of theoretical kQ, Qo data may introduce an inherent error in the estimation of absorbed dose to water. This necessitates the use of measured value of kQ, Qo for each ionization chamber.

Proteomic-based evidence for adult neurogenesis in birds and mammals as indicated from cerebrospinal fluid.

Adult neurogenesis is the life-long process of neural stem cell proliferation, differentiation into neurons, migration, and incorporation into the existing neuronal circuits. After decades of research, it is now widely accepted that mammals and birds retain the capacity to regenerate neurons even after their subadult ontogeny. Cerebrospinal fluid participates in the regulation of the neurogenic niches of the vertebrate brain through signaling pathways not fully elucidated. Proteomic studies of cerebrospinal fluid have the potential to allow the in-depth characterization of its molecular composition. Comparative studies help to delineate those pathways that are universally critical for the regulation of neurogenesis in adulthood. In this review, we performed literature-based data mining in studies using liquid chromatography-tandem mass spectroscopy that analyzed cerebrospinal fluid samples from healthy adult humans (Homo sapiens); mice (Mus musculus); sheep (Ovis aries); chickens (Gallus gallus); and two parrot species, the budgerigar (Melopsittacus undulatus) and cockatiel (Nymphicus hollandicus). We identified up to 911 proteins represented in cerebrospinal fluid, involved in various pathways regulating adult neurogenesis. However, only 196 proteins were common across humans, mice, and birds. Pathway components involved in nervous system development, cell migration, and axonal guidance were commonly evident in all species investigated so far. Extensive bioinformatic analysis revealed that the universally over-represented pathways involved L1 cell adhesion molecule protein interactions, cell-adhesion molecules, signals regulating extracellular matrix remodeling, regulation of insulin growth factor signaling, axonal guidance, programmed cell death, immune signaling, and post-translational modifications. Most of the reported proteins are part of extracellular vesicles enriched in cerebrospinal fluid. However, the information presently available is still highly fragmentary, and far more questions persist than are answered. Technological advances will allow cerebrospinal fluid comparative proteomic research to delve into the fundamental processes of adult neurogenesis and eventually translate this research into any regenerative interventions.

The fungal literature-based occurrence database for southern West Siberia (Russia).

BackgroundThe paper presents the initiative on literature-based occurrence data mobilisation of fungi and fungi-related organisms (literature-based occurrences, Darwin Core MaterialCitation) to develop the Fungal literature-based occurrence database for the southern West Siberia (FuSWS). The initiative on mobilisation of literature-based occurrence data started in the northern part of West Siberia in 2016. The present project extends the initiative to the southern regions and includes ten administrative territories (Tyumen Region, Sverdlovsk Region, Chelyabinsk Region, Omsk Region, Kurgan Region, Tomsk Region, Novosibirsk Region, Kemerovo Region, Altai Territory and Republic of Altai). The area occupies the central to southern part of the West Siberian Plain and extends for about 1.5 K km from the west to the east from the eastern slopes of the Ural Mountains to Yenisey River and from north to south—about 1.3 K km. The total area equals about 1.4 million km2.The initiative is actively growing in spatial, collaboration and data accumulation terms. The working group of about 30 mycologists from eight organisations dedicated to the data mobilisation was created as part of the Siberian Mycological Society (informal organisation since 2019). They have compiled the almost complete bibliographic list of mycology-related papers for the southern West Siberia, including over 900 publications for the last two centuries (the earliest dated 1800). All literature sources were digitised and an online library was created to integrate bibliography metadata and digitised papers using Zotero bibliography manager. The analysis of published sources showed that about two-thirds of works contain occurrences of fungi for the scope of mobilisation.At the time of the paper submission, the database had been populated with a total of about 8 K records from 93 sources. The dataset is uploaded to GBIF, where it is available for online search of species occurrences and/or download. The project's page with the introduction, templates, bibliography list, video-presentations and written instructions is available (in Russian) at the web site of the Siberian Mycological Society. The initiative will be continued in the following years to extract the records from all published sources.New informationThe paper presents the first project with the aim of literature-based occurrence data mobilisation of fungi and fungi-related organisms in the southern West Siberia. The full bibliography and a digital library of all regional mycological publications created for the first time includes about 900 published works. By the time of paper submission, nearly 8 K occurrence records were extracted from about 90 literature sources and integrated into the FuSWS database published in GBIF.

Information-theoretic approach in allometric scaling relations of DNA and proteins.

Allometric scaling relations can be observed in between molecular parameters. Hence, we looked for presence of such relation among sizes (i.e., lengths) of proteins and genes. Protein lengths exist in the literature as the number of amino acids. They can also be derived from the mRNA lengths. Here, we looked for allometric scaling relation by using such data and simultaneously, the data was compared with the sizes of genes and proteins that were obtained from our modified information-theoretic approach. Results implied presence of scaling relation in the calculated results. This was expected due to the implemented modification in the information-theoretic calculation. Relation in the literature-based data was lacking high goodness of fit value. It could be due to physical factors and selective pressures, which ended up in deviations of the literature-sourced values from those in the model. Genome size is correlated with cell size. Intracellular volume, which is related to the DNA size, would require certain number of proteins, the sizes of which can therefore be correlated with the protein sizes. Cell sizes, genome sizes, and average protein and gene sizes, along with the number of proteins, namely the expression levels of the genes, are the physical factors, and the molecular factors influence those physical factors. The selective pressures on those can act through the connection between those physical factors and limit the dynamic ranges. Biological measures could be prone to such forces and are likely to deviate from expected models, regardless of the validity of assumptions, unless those are also implemented in the models. Yet, present discrepancies could be pointing at the need for model improvement, data imperfection, invalid assumptions, etc. Still, current work highlights possible use of information-theoretic approach in allometric scaling relations' studies.

A Transmural Path Model Improves the Definition of the Orthotropic Tissue Structure in Heart Simulations

In the past decades, the structure of the heart, human as well as other species, has been explored in a detailed way, e.g., via histological studies or diffusion tensor magnetic resonance imaging. Nevertheless, the assignment of the characteristic orthotropic structure in a patient-specific finite element model remains a challenging task. Various types of rule-based models, which define the local fiber and sheet orientation depending on the transmural depth, have been developed. However, the correct assessment of the transmural depth is not trivial. Its accuracy has a substantial influence on the overall mechanical and electrical properties in rule-based models. The main purpose of this study is the development of a finite element-based approach to accurately determine the transmural depth on a general unstructured grid. Instead of directly using the solution of the Laplace problem as the transmural depth, we make use of a well-established model for the assessment of the transmural thickness. It is based on two hyperbolic first-order partial differential equations for the definition of a transmural path, whereby the transmural thickness is defined as the arc length of this path. Subsequently, the transmural depth is determined based on the position on the transmural path. Originally, the partial differential equations were solved via finite differences on structured grids. In order to circumvent the need of two grids and mapping between the structured (to determine the transmural depth) and unstructured (electromechanical heart simulation) grids, we solve the equations directly on the same unstructured tetrahedral mesh. We propose a finite-element-based discontinuous Galerkin approach. Based on the accurate transmural depth, we assign the local material orientation of the orthotropic tissue structure in a usual fashion. We show that this approach leads to a more accurate definition of the transmural depth. Furthermore, for the left ventricle, we propose functions for the transmural fiber and sheet orientation by fitting them to literature-based diffusion tensor magnetic resonance imaging data. The proposed functions provide a distinct improvement compared to existing rules from the literature.

The Fungal Literature-based Occurrence Database in Southern West Siberia (Russia)

The Fungal Literature-based Occurrence Database in Southern West Siberia (Russia)

Quantitative microbial human exposure model for faecal indicator bacteria and risk assessment of pathogenic Escherichia coli in surface runoff following application of dairy cattle slurry and co-digestate to grassland

Animal waste contains high numbers of microorganisms and therefore can present a potential biological threat to human health. During episodic rainfall events resulting in runoff, microorganisms in the waste and soil may migrate into surface runoff, contaminating surface water resources. A probabilistic human exposure (HE) model was created to determine exposure to faecal indicator bacteria (FIB): total coliforms (TC), E. coli and enterococci following application of bio-based fertiliser (dairy cattle slurry, digestate) to grassland; using a combination of experimental field results and literature-based data. This step was followed by a quantitative microbial risk assessment (QMRA) model for pathogenic E. coli based on a literature-based dose-response model. The results showed that the maximum daily HE (HEdaily) is associated with E. coli for unprocessed slurry (treatment T1) on day 1, the worst-case scenario where the simulated mean HEdaily was calculated as 2.84 CFU day −1. The results indicate that the overall annual probability of risk (Pannual) of illness from E. coli is very low or low based on the WHO safe-limit of Pannual as 10 −6. In the worst-case scenario, a moderate risk was estimated with simulated mean Pannual as 1.0 × 10 −5. Unpasteurised digestate application showed low risk on day 1 and 2 (1.651 × 10 −6, 1.167 × 10 −6, respectively). Pasteurised digestate showed very low risk in all scenarios. These results support the restriction imposed on applying bio-based fertiliser if there is any rain forecast within 48 h from the application time. This study proposes a future extension of the probabilistic model to include time, intensity, discharge, and distance-dependant dilution factor. The information generated from this model can help policymakers ensure the safety of surface water sources through the quality monitoring of FIB levels in bio-based fertiliser.