bluuebunny/crossref_metadata_2025 huggingface dataset:
EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies
Authors: Koenig Thomas , Diezig Sarah , Kalburgi Sahana Nagabhushan , Antonova Elena , Artoni Fiorenzo , Brechet Lucie , Britz Juliane , Croce Pierpaolo , Custo Anna , Damborská Alena , Deolindo Camila , Heinrichs Markus , Kleinert Tobias , Liang Zhen , Murphy Michael M , Nash Kyle , Nehaniv Chrystopher , Schiller Bastian , Smailovic Una , Tarailis Povilas , Tomescu Miralena , Toplutaş Eren , Vellante Federica , Zanesco Anthony , Zappasodi Filippo , Zou Qihong , Michel Christoph M
Published: July 2023

Over the last decade, EEG resting-state microstate analysis has evolved from a niche existence to a widely used and well-accepted methodology. The rapidly increasing body of empirical findings started to yield overarching patterns of associations of biological and psychological states and traits with specific microstate classes. However, currently, this cross-referencing among apparently similar microstate classes of different studies is typically done by “eyeballing” of printed template maps by the individual authors, lacking a systematic procedure. To improve the reliability and validity of future findings, we present a tool to systematically collect the actual data of template maps from as many published studies as possible and present them in their entirety as a matrix of spatial similarity. The tool also allows importing novel template maps and systematically extracting the findings associated with specific microstate maps from ongoing or published studies. The tool also allows importing novel template maps and systematically extracting the findings associated with specific microstate maps in the literature. The analysis of 40 included sets of template maps indicated that: (i) there is a high degree of similarity of template maps across studies, (ii) similar template maps were associated with converging empirical findings, and (iii) representative meta-microstates can be extracted from the individual studies. We hope that this tool will be useful in coming to a more comprehensive, objective, and overarching representation of microstate findings.
Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
Authors: Brunelli Benedetta , De Giglio Michaela , Magnani Elisa , Dubbini Marco
Published: July 2023

Surface soil moisture is a key hydrologic state variable that greatly influences the global environment and human society. Its significant decrease in the Mediterranean region, registered since the 1950s, and expected to continue in the next century, threatens soil health and crops. Microwave remote sensing techniques are becoming a key tool for the implementation of climate-smart agriculture, as a means for surface soil moisture retrieval that exploits the correlation between liquid water and the dielectric properties of soil. In this study, a workflow in Google Earth Engine was developed to estimate surface soil moisture in the agricultural fields of the Marche region (Italy) through Synthetic Aperture Radar data. Firstly, agricultural areas were extracted with both Sentinel-2 optical and Sentinel-1 radar satellites, investigating the use of Dual-Polarimetric Entropy-Alpha decomposition's bands to improve the accuracy of radar data classification. The results show that Entropy and Alpha bands improve the kappa index obtained from the radar data only by 4% (K = 0.818), exceeding optical accuracy in urban and water areas. However, they still did not allow to reach the overall optical accuracy (K = 0.927). The best classification results are reached with the total dataset (K = 0.949). Subsequently, Water Cloud and Tu Wien models were implemented on the crop areas using calibration parameters derived from literature, to test if an acceptable accuracy is reached without in situ observation. While the first model’s accuracy was inadequate (RMSD = 12.3), the extraction of surface soil moisture using Tu Wien change detection method was found to have acceptable accuracy (RMSD = 9.4).
Building rehabilitation, sustainable development, and rural settlements: a contribution to the state of the art
Authors: Mouraz Catarina P. , Ferreira Tiago Miguel , Silva J. Mendes
Published: July 2023

The quality of life in rural housing settlements is at the heart of territorial cohesion concerns across Europe and the United Nations’ sustainable development goals. However, the gap between urban and rural developments remains substantial, stressing the need to adopt integrated approaches for rural territories. These approaches should include heritage preservation strategies as a priority. Vernacular constructions integrate rural built heritage and comprise a sustainable response of communities in territories, stressing the pertinence of its rehabilitation. The aim of this paper is to raise awareness of this issue through a scoping review since it lacks general frameworks that may contribute towards perceiving rural territories and their constructions as catalysts of territorial cohesion and sustainable development. As a main goal, we provide insights on sustainable development and its importance in the global and European contexts, as well as the role of building rehabilitation towards its three dimensions—environmental, social, and economic. Additionally, the impact of rural settlements on territorial cohesion and global sustainability is stressed, and vernacular construction is highlighted as a component of rural heritage.
The future of protein feed: a case study of sustainable substitutes in the German livestock industry
Authors: Soisontes Sakson , Freund Florian , Laquai Verena
Published: August 2023

The use of imported soybean/soybean meal is criticized in the context of the sustainability discussion in Germany. Imported soybean is often associated with deforestation and genetic modification, which is largely viewed critically by consumers. This study aims to forecast changes in future demand for imported soybean/soybean meal and its possible substitutes in the German livestock industry. The two-round Delphi method was used in the study by sending questionnaires to 28 experts from four groups: food retailers, livestock associations, animal nutrition manufacturers and research institutes. Our main result is that the total use of soybeans in German livestock farming will decrease from almost 4 million tons of soybean equivalents in 2018/19 to approximately 3.4 million tons by 2030/31. In contrast, the share of non-GM soybean is forecast to increase from 26 to 53%. Factors that influence the increased use of non-GM protein feeds most are “specifications from downstream processors” and “demand from the feed industry.” Experts forecast that about 36% of imported soybean/soybean meal (from non-EU countries) for German livestock farming could be replaced by protein feed produced in the EU. Rapeseed was considered to have a particularly high potential for production in the EU, followed by soybean and sunflower. Experts considered the factors: “requirements by the food retailers,” “reasonable price,” “political regulation” and “better profitability for the producer” as the most influential for extended use of regional protein feeds.
Lefebvrian analysis of livestock keeping in Fingo Village, Makhanda (Grahamstown), South Africa
Authors: Memela Sinenhlanhla
Published: July 2023

Public nuisance caused by livestock has resulted in many local governments having a designated area to keep them, called commonages. In Makhanda, livestock owners often do not effectively utilize commonages; they let animals wander in the streets and keep them in the backyards, which is against municipal regulations. This study uses Lefebvre's production of the space-spatial triad, which provides a holistic understanding of why bylaws are circumvented in Fingo Village. The focus is on the dialectic process in the spatial triad between representational space and representations of space to understand spatial patterns. Purposive sampling methods were used to select ten household plots in Fingo Village. Primary data was collected using semi-structured interviews. The study's findings reveal that bylaws are circumvented because there are spatial contradictions between the conceived land use designations of the Makana Municipality and the lived experiences of the users/inhabitants. Three issues were noted: conceived ideas were not inline with cultural beliefs about livestock keeping in backyard kraal; commonage geographic location was not ideal as it's not visible to residential areas so users can see them while grazing, which increased chances of livestock theft; and Makana Municipality not effectively enforcing regulations and administering commonages.
Genetic diversity, population structure and selection signatures in Enset (Ensete ventricosum, (Welw.) Cheesman), an underutilized and key food security crop in Ethiopia
Authors: Haile Alye Tefera , Kovi Mallikarjuna Rao , Johnsen Sylvia Sagen , Tesfaye Bizuayehu , Hvoslef-Eide Trine , Rognli Odd Arne
Published: July 2023

Enset (Ensete ventricosum (Welw.) Cheesman) is a multipurpose, drought-tolerant and a key food security crop, which is the staple food for peoples in the south and southwestern parts of Ethiopia. In this study, we characterized genetic diversity, population structure and selection signatures in 226 cultivated and 10 wild enset accessions collected from diverse enset growing regions of Ethiopia using 3505 high-quality single nucleotide polymorphism (SNP) markers obtained from double-digest restriction-site associated DNA (ddRAD) sequences. The population structure and cluster analyses clearly distinguished between cultivated and wild enset. The analysis of molecular variance (AMOVA) revealed higher levels of genetic diversity within populations and regions (91.2 and 92.4%, respectively) than between populations and regions (8.8 and 7.6%, respectively). This shows that the region of origin and environmental heterogeneity have little influence on the genetic diversity. However, the genetic differentiation between regions was moderate to large (FST = 0.06–0.17). The genetic structure of enset was mainly shaped by eco-geographic factors, mode of propagation and cultivation status. Six genes potentially involved in sexual reproduction and flowering signalling, which are key processes underlying domestication and adaptation, were under positive selection demonstrating that sexual reproduction plays an important role in shaping enset diversity. A lot of unexplored diversity is available for improving enset in Ethiopia, with patterns of diversity consistent with divergent selection on adaptive traits. This diversity also shows potential for introducing enset as a more food secure crop for the food insecure regions in the dry north of Ethiopia.
Top-down and bottom-up control of plankton structure and dynamics in hypertrophic fishponds
Authors: Vrba Jaroslav , Šorf Michal , Nedoma Jiří , Benedová Zdenka , Kröpfelová Lenka , Šulcová Jana , Tesařová Blanka , Musil Martin , Pechar Libor , Potužák Jan , Regenda Ján , Šimek Karel , Řeháková Klára
Published: July 2023

We investigated the effects of strong top-down control by high fish stock on structure and seasonal dynamics of plankton in nine fishponds under conventional fishery management based on auxiliary feeding during two vegetation seasons. Mean concentrations of total nitrogen, phosphorus, and high densities of phytoplankton, bacteria, heterotrophic nanoflagellates, and ciliates indicated hypertrophic state of the fishponds, as well as a markedly reduced control of these microbial food web components by crustacean zooplankton. Mean seasonal densities of zooplankton varied within one order of magnitude for cladocerans, copepods, nauplii, and rotifers. Daphnia were found in most fishponds in densities up to 630 ind. l−1 (median: 53 ind. l−1). While TN and TP concentrations were high, dissolved inorganic N (median: 29 µg l−1) and reactive P (median: 11 µg l−1) indicated possible nutrient deficiency. The fish stock index (defined as the product of biomass and square root of densities) was used as a proxy for fish predation pressure. Multivariate analysis revealed that nutrients and high fish stocks (market carp, carp fry, and/or undesirable small planktivorous fishes) were the main driving forces shaping the fishpond plankton. The resulting trophic structure thus severely reduced the herbivorous zooplankton–fish link during a vegetation season.
An in-depth analysis of parameter settings and probability distributions of specific ordinal patterns in the Shannon permutation entropy during different states of consciousness in humans
Authors: Franka Michelle , Edthofer Alexander , Körner Andreas , Widmann Sandra , Fenzl Thomas , Schneider Gerhard , Kreuzer Matthias
Published: July 2023

As electrical activity in the brain has complex and dynamic properties, the complexity measure permutation entropy (PeEn) has proven itself to reliably distinguish consciousness states recorded by the EEG. However, it has been shown that the focus on specific ordinal patterns instead of all of them produced similar results. Moreover, parameter settings influence the resulting PeEn value. We evaluated the impact of the embedding dimension m and the length of the EEG segment on the resulting PeEn. Moreover, we analysed the probability distributions of monotonous and non-occurring ordinal patterns in different parameter settings. We based our analyses on simulated data as well as on EEG recordings from volunteers, obtained during stable anaesthesia levels at defined, individualised concentrations. The results of the analysis on the simulated data show a dependence of PeEn on different influencing factors such as window length and embedding dimension. With the EEG data, we demonstrated that the probability P of monotonous patterns performs like PeEn in lower embedding dimension (m = 3, AUC = 0.88, [0.7, 1] in both), whereas the probability P of non-occurring patterns outperforms both methods in higher embedding dimensions (m = 5, PeEn: AUC = 0.91, [0.77, 1]; P(non-occurring patterns): AUC = 1, [1, 1]). We showed that the accuracy of PeEn in distinguishing consciousness states changes with different parameter settings. Furthermore, we demonstrated that for the purpose of separating wake from anaesthesia EEG solely pieces of information used for PeEn calculation, i.e., the probability of monotonous patterns or the number of non-occurring patterns may be equally functional.
On the Role of the Integrable Toda Model in One-Dimensional Molecular Dynamics
Authors: Benettin Giancarlo , Orsatti Giuseppe , Ponno Antonio
Published: July 2023

We prove that the common Mie–Lennard-Jones (MLJ) molecular potentials, appropriately normalized via an affine transformation, converge, in the limit of hard-core repulsion, to the Toda exponential potential. Correspondingly, any Fermi–Pasta–Ulam (FPU)-like Hamiltonian, with MLJ-type interparticle potential, turns out to be 1/n-close to the Toda integrable Hamiltonian,nbeing the exponent ruling repulsion in the MLJ potential. This means that the dynamics of chains of particles interacting through typical molecular potentials, is close to integrable in an unexpected sense. Theoretical results are accompanied by a numerical illustration; numerics shows, in particular, that even the very standard 12–6 MLJ potential is closer to integrability than the FPU potentials which are more commonly used in the literature.
Detecting social-ecological resilience thresholds of cultural landscapes along an urban–rural gradient: a methodological approach based on Bayesian Networks
Authors: Arnaiz-Schmitz C. , Aguilera P. A. , Ropero R. F. , Schmitz M. F.
Published: July 2023

Context

The difficulty of analysing resilience and threshold responses to changing environmental drivers becomes evident in the social-ecological systems framework due to their inherent complexity. Research is needed to develop new tools able to deal with such challenges and determine potential thresholds for SES variables that primarily influence tipping point behaviour.

Objectives

In this paper, a methodology based on the application of Bayesian Networks (BNs) has been developed to quantify the social-ecological resilience along an urban–rural gradient in Madrid Region, detecting the tipping point values of the main socioeconomic indicators implying critical transitions at landscape stability thresholds.

Method

To do this, the spatial–temporal trends of the landscape in an urban–rural gradient from Region de Madrid (Spain) were identified, to then quantify the intensity of the changes and explain them using BNs based on regression models. Finally, through inference propagation the thresholds of landscape change were detected.

Results

The results obtained for the study area indicate that the most resilient landscapes analysed are those where the traditional silvo-pastoral activity was maintained by elderly people and where there is cohesion between neighbouring rural municipalities.

Conclusion

The method developed has allowed us to detect the tipping points from which small changes in socioeconomic indicators generate large changes at the landscape level. We demonstrate that the use of BNs is a useful tool to achieve an integrated social-ecological spatial planning.
LifeSeeker: an interactive concept-based retrieval system for lifelog data
Authors: Nguyen Thao-Nhu , Le Tu-Khiem , Ninh Van-Tu , Caputo Annalina , Healy Graham , Smyth Sinéad , Tran Minh-Triet , Binh Nguyen Thanh
Published: August 2023

Lifelogging was introduced as the process of passively capturing personal daily events via wearable devices. It ultimately creates a visual diary encoding every aspect of one’s life with the aim of future sharing or recollecting. In this paper, we present LifeSeeker, a lifelog image retrieval system participating in the Lifelog Search Challenge (LSC) for 3 years, since 2019. Our objective is to support users to seek specific life moments using a combination of textual descriptions, spatial relationships, location information, and image similarities. In addition to the LSC challenge results, a further experiment was conducted in order to evaluate the power retrieval of our system on both expert and novice users. This experiment informed us about the effectiveness of the user’s interaction with the system when involving non-experts.
Flexible thermal camera solution for Smart city people detection and counting
Authors: Collini Enrico , Palesi Luciano Alessandro Ipsaro , Nesi Paolo , Pantaleo Gianni , Zhao William
Published: August 2023

Tourism management plays an important role in the context of Smart Cities. In this work, we have used thermal cameras for the development of an Object Detection solution in pedestrian areas. The solution can classify people, bikes, strollers, and count people in Real-Time by using telephoto and wide-angle thermal cameras, in hot squares where there is a relevant number of people passing by. This work has improved FASTER-R-CNN and YOLOv5 architectures with new data sets and fine-tuning approaches to enhance mean average precision and flexibility whether compared to state of the art solutions. Both top-down and bottom-up training adaptation approaches have been assessed in order to demonstrate that the proposed bottom-up approach can provide better results. Results have overcome the state-of-the-art in terms of mean Average Precision in counting (i) for relevant number of people in the scene (removing the limitation of previous state-of-the-art solutions that were set to provide good precision up to 10 people) and (ii) in terms of flexibility with respect to different kinds of camera and resolutions. The resulting model can produce results also when executed on thermal camera and in Real-Time on industrial PC of mid-level. The proposed solution has been developed and validated in the framework of the Herit-Data EC project and it has exploited the Snap4City platform for the final collection of data results, monitoring and their publication on real time dashboards.
On the numerical treatment of interlaced target values: modeling, optimization and simulation of regulating valves in gas networks
Authors: Hennings Felix , Petkovic Milena , Streubel Tom
Published: August 2023

Due to the current and foreseeable shifts towards carbon dioxide neutral energy production, which will likely result in balancing fluctuating renewable energy generation by transforming power-to-gas-to-power as well as building a large-scale hydrogen transport infrastructure, the trading and transport operations of gas will become more dynamic, volatile, and hence also less predictable. Therefore, computer-aided support in terms of rapid simulation and control optimization will further broaden its importance for gas network dispatching. In this paper, we aim to contribute and openly publish two new mathematical models for regulators, also referred to as control valves, which together with compressors make up the most complex and involved types of active elements in gas network infrastructures. They provide direct control over gas networks but are in turn controlled via target values, also known as set-point values, themselves. Our models incorporate up to six dynamical target values to define desired transient states for the elements’ local vicinity within the network. That is, each pair of every two target values defines a bounding box for the inlet pressure, outlet pressure as well as the passing mass flow of gas. In the proposed models, those target values are prioritized differently and are constantly in competition with each other, which can only be resolved dynamically at run-time of either a simulation or optimization process. Besides careful derivation, we compare simulation and optimization results with predictions of the widely adopted commercial simulation tool SIMONE, serving as our substitute for actual real-world transport operations.
Sweet corn yield prediction using machine learning models and field-level data
Authors: Dhaliwal Daljeet S. , Williams Martin M.
Published: July 2023

The advent of modern technologies, acquisition of large amounts of crop management and weather data, and advances in computing are reshaping modern agriculture. These advancements have unlocked the power of data by providing valuable insights and more accurate yield predictions. This study utilizes a historic US sweet corn dataset to: (a) evaluate machine learning model performances on sweet corn yield prediction and (b) identify the most influential variables for crop yield predictions. The sweet corn data comprised field-level data for over a quarter-century period (1992–2018) from two primary commercial sweet corn production regions for processing, namely the Upper Midwest and the Pacific Northwest. Several machine learning models were trained to predict field-level sweet corn yield from 67 variables of crop genetics, management, weather, and soil factors. The random forest model outperformed all trained models with the lowest RMSE (3.29 Mt/ha) and the highest Pearson’s correlation coefficient (0.77) between predicted and observed yields. Variable importance plots revealed the top three most influential predictor variables as year (time), location (space), and seed source (genetics). Season long total precipitation and average minimum temperature during anthesis were the two most important weather variables in yield prediction. This is the first report of using fine-scale (time and space) crop data and advanced data analytics to leverage insights into commercial sweet corn production.
Do changes in perceived teacher behaviour predict changes in intrinsic reading motivation? A five-wave analysis in German lower secondary school students
Authors: Hawrot Anna , Zhou Ji
Published: July 2023

Although several longitudinal studies have confirmed that need-supportive teacher behaviour shapes intrinsic motivation in school, longitudinal studies on its role for intrinsic reading motivation are lacking. To fill in this gap, this study investigated whether changes in selected aspects of student-perceived teacher need-supportive behaviour in German lessons predicted changes in intrinsic reading motivation. We also investigated how student intrinsic reading motivation and perceived teacher need-supportive behaviour changed over the course of lower secondary school. To this end, we used data of 7634 German students gathered between Grades 5 and 9 as part of the German National Educational Panel Study, five measurement occasions in total. The analyses, which involved univariate latent change score and change–change models, revealed decreases in perceived teacher need-supportive behaviour and intrinsic motivation between Grades 5 and 9. Moreover, the decreases in perceived teacher need-supportive behaviour in German lessons predicted decreases in intrinsic reading motivation. The study provides first evidence of longitudinal relationships between perceived teacher behaviour and intrinsic reading motivation. It also suggests that adjusting the classroom learning environment to student needs may contribute to alleviating the decrease in intrinsic reading motivation observed in multiple studies.
Inequalities in Health: Definitions, Concepts and Measurements—An Application in the Regional Health Authority in Italy
Authors: Renzi Pietro , Franci Alberto
Published: August 2023

Policymakers, researchers, and public health practitioners have long sought not only to improve overall population health but also to reduce or eliminate differences in health based on geography, race/ethnicity, socioeconomic status, and other social factors. Italian healthcare authorities and health policy makers are called to help to both solve existing inequities in accessing healthcare and remove barriers to healthcare. In this context, COVID-19 has highlighted the aspect of inequalities. Our paper proposes an overview of different methods of measuring health inequalities and their applications, both in regional and national contexts, in absolute and relative scales. The first involves an application on accessibility to an obstetrics clinic in a district of Marche region, connected to the educational level of the female population. The second, calculates the indices on inequalities in the infant mortality rate in the Italian regions in relation to income. Finally, the three indices are calculated considering the rate of self-perceived health in relation with the GDP per capita. To achieve this goal, we use the Kuznets index, the slope index of inequality and the concentration index as measures of social inequalities. The measurement of health inequities is an excitingly multidisciplinary endeavor. Its development requires interdisciplinary integration of advances from relevant disciplines. The proposed approach is one such effort and stimulates cross-disciplinary dialogues, specifically, about conceptual and empirical significance of definitions of health inequities.

Graphical Abstract
Modeling adsorption and photocatalytic treatment of recalcitrant contaminant on multi-walled carbon/TiO2 nanocomposite
Authors: Pete Kwena Yvonne , Kabuba John , Otieno Benton , Ochieng Aoyi
Published: August 2023

A nanocomposite photocatalyst consisting of titanium dioxide (TiO2) supported on multiwalled carbon nanotubes (MWCNTs) has been successfully prepared and used for the treatment of wastewater contaminated with tetracycline (TC), a recalcitrant antibiotic pollutant. The TiO2/MCNT composites were prepared by a simple evaporation-drying method. The properties of MWCNT/TiO2 were optimized by dispersing different amounts of TiO2 onto MWCNT. The structural and optical characteristics of the nano-engineered photocatalyst composite were characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) techniques. Photocatalytic degradation of TC was conducted in a quartz glass reactor. Different kinetic models were used to demonstrate the governing mechanisms. The findings revealed that the TiO2/MWCNT composite had enhanced photocatalytic activity (95% TC removal) compared to TiO2 (86% removal). The photocatalyst nanocomposite exhibited overall pseudo-second-order reaction kinetics and favored the Langmuir adsorption isotherm. Although up to 95% degradation of TC was achieved, only 75% of it was mineralized as a result of the formation of stable refractory intermediates.
Lesson learnt from static pulling tests on trees: an experimental study on toppling behaviour of complex foundations
Authors: Galli Andrea , Sala Cristian , Castellanza Riccardo , Marsiglia Andrea , Ciantia Matteo Oryem
Published: August 2023

Standard procedures for stability assessment of unstable trees are based, among other, on the interpretation of on-site, non-destructive static pulling tests. To this goal, a simple phenomenological equation is usually adopted in professional agronomic practice, and an estimation of the ultimate toppling resistance is extrapolated by fitting the test data, without taking root geometrical parameters and soil mechanical properties into account. From a geotechnical point of view, however, the root plate of a tree plays the role of a “living foundation”, and its behaviour under toppling actions (like those produced by intense wind gusts) conceptually corresponds to the mechanical response of shallow foundations under rocking loads. In the paper, several static pulling tests on real-scale trees (some of them have been run until the complete collapse, after some unloading–reloading cycles) and some tests taken from the literature are considered in order to investigate the toppling behaviour. A possible new interpretative equation is proposed and critically compared with the existing one against experimental results. The new equation allows for a mechanically meaningful description of the toppling curve of the tree and accounts for strength and deformability issues. It allows to introduce innovative “performance-based” approaches, which are commonly neglected by practitioners and professional agronomists in this field. Nevertheless, the experimental results show that tree toppling is a complex phenomenon, and capturing its failure condition requires more advanced multi-mechanism models and second-order effects to be accounted for. From a practical point of view, the proposed equation, employed within the same standard interpretative procedure currently adopted in practice for pulling tests, seems to provide conservative estimations of “operational” values of the ultimate toppling resistance, and in perspective, it could be used to significantly optimize—when needed—the design of structural stabilizing interventions on potentially unstable trees.
Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation
Authors: Karimpouli Sadegh , Kadyrov Rail , Siegert Mirko , Saenger Erik Hans
Published: July 2023

Digital rock physics is based on imaging, segmentation and numerical computations of rock samples. Due to challenges regarding the handling of a large 3-dimensional (3D) sample, 2D algorithms have always been attractive. However, in 2D algorithms, the efficiency of the pore structures in the third direction of the generated 3D sample is always questionable. We used four individually captured µCT-images of a given Berea sandstone with different resolutions (12.922, 9.499, 5.775, and 3.436 µm) to evaluate the super-resolution 3D images generated by multistep Super Resolution Double-U-Net (SRDUN), a 2D algorithm. Results show that unrealistic features form in the third direction due to section-wise reconstruction of 2D images. To overcome this issue, we suggest to generate three 3D samples using SRDUN in different directions and then to use one of two strategies: compute the average sample (reconstruction by averaging) or segment one-directional samples and combine them together (binary combination). We numerically compute rock physical properties (porosity, connected porosity, P- and S-wave velocity, permeability and formation factor) to evaluate these models. Results reveal that compared to one-directional samples, harmonic averaging leads to a sample with more similar properties to the original sample. On the other hand, rock physics trends can be calculated using a binary combination strategy by generating low, medium and high porosity samples. These trends are compatible with the properties obtained from one-directional and averaged samples as long as the scale difference between the input and output images of SRDUN is small enough (less than about 3 in our case). By increasing the scale difference, more dispersed results are obtained.
Evidence-Based Strategies for Micro-elimination of Chronic Hepatitis B Virus Infection
Authors: Roma Katerina , Hsu Mark , Khattak Adam , Gish Robert
Published: July 2023

Purpose of Review

Hepatitis B (HBV) remains a health threat around the world. Hepatitis C is closer to meeting the World Health Organization’s 2030 elimination goal compared to HBV. To achieve a successful micro-elimination and macro-elimination, there are certain objectives that need to be met.

Recent Findings

HBV infects more than 262 million people worldwide and is associated with significant morbidity and increased mortality. There have been previous HBV and hepatitis C virus micro-elimination trials with varying success. Micro-elimination programs should be designed to move services forward with a plethora of avenues for monitoring, testing, and treatment.

Ultimately, successful and maintained micro-elimination is needed to achieve macro-elimination of HBV. Here, we propose 5 core tenets of micro-elimination that can be expanded to macro-elimination; these 5-line guidelines provide for 5 pillars of HBV management that support a path to a successful global elimination of HBV.
“It’s all part of the culture”: undergraduate students’ experiences of banter in university sports clubs and societies
Authors: Abell Loren , Buglass Sarah L. , Betts Lucy R. , Morohunfola Toluwani
Published: August 2023

Recent research has focused on students’ experience of banter in the general university setting. However, these experiences may differ when specifically focusing on university students’ interactions in sports clubs and societies. The present study explored undergraduate students’ understanding and experiences of banter in sports clubs and societies through five focus groups (n = 24; 18–23 years, 5 male, 19 female) at one UK university using semi-structured interviews and vignettes. Thematic analysis identified three key themes: “It’s all part of the culture”, banter to excuse inappropriate behaviour, and a question of boundaries. Discussions highlighted banter was accepted and expected, but there was a sense of ‘banter fatigue’. There was awareness that banter could be used to mask harmful behaviour such as hazing and inappropriate sexual behaviour. Students also highlighted that boundaries were important when using banter, discussing how repetition can have a negative impact on the target of the banter. The study contributes to the limited literature exploring the use and perceptions of banter by students in extracurricular activities at university.
A remote sensing approach to estimate variable crop coefficient and evapotranspiration for improved water productivity in the Ethiopian highlands
Authors: Mebrie Daniel Wonde , Assefa Tewodros T. , Yimam Abdu Y. , Belay Sisay A.
Published: July 2023

Proper and reasonable estimation of actual evapotranspiration is critical for the design, operation, and management of irrigation systems. However, the density of climatic stations is low in many parts of Ethiopia to estimate spatially reasonable reference evapotranspiration (ETo), and the lack of spatial variability of crop coefficient (Kc) is clear barrier to the proper management of irrigation water. Therefore, the main objective of this study was to estimate reasonable crop evapotranspiration (ETc) by deriving spatially and temporally varying crop coefficients using remote sensing products in 10 wheat plots at the Koga irrigation scheme. The moderate-resolution imaging spectroradiometer (MODIS) potential evapotranspiration was calibrated at two class-I climate stations (Bahir Dar and Dangila) based on Penman–Monteith estimates and Normalized Difference Vegetation Index (NDVI) was derived from Sentinel 2B, which was later used to derive Kc. The correlation between reference evapotranspiration from MODIS Penman Monteith was acceptable for both Dangila (R2 = 0.64) and Bahir Dar (R2 = 0.74) stations. The MODIS calibration constant for Koga irrigation schemes was 0.27 and 1.99 (regression slope and constant) on an 8-day basis. Similarly, a strong correlation (R2 = 0.95) was found between Sentinel-based NDVI and FAO crop coefficient, which indicated an alternative pathway for estimating crop coefficient. The value of Kc varies in space (across the 10 plots) from 0.16 to 0.42 at the initial stage and from 1.20 to 1.32 at the mid-stage. Similarly, the mean value of Kc varies in time from 0.29 at the initial stage to 1.26 at the mid-stage. On the other hand, evaluation of MODIS and WaPOR ETc found a significant difference (p < 0.05) with the calibrated MODIS-Sentinel 2B derived ETc. This indicated the need to calibrate both MODIS and WaPOR for the proper estimation of crop water needs. Underestimation of ET was observed from MODIS, and the reverse is true for WaPOR. Our findings showed that calibrating and integrating MODIS with Sentinel 2B would be a feasible approach to estimate Kc and hence ETc that varies in time and space. This would assist water managers in estimating crop water needs for better productivity in the region.
Structure and properties of biogenic hydroxyapatite bioceramics modified by graphene-like structures
Authors: Iatsenko A. , Sych O. , Synytsia A. , Zaremba P. , Zahorodnia S. , Nikolenko A. , Tomila T. , Bykov O.
Published: July 2023

Today bone tissue engineering is one of the most used technologies for treat bones injure. Materials containing hydroxyapatite and graphene have received much attention recently. The aim of this study was preparation of biogenic hydroxyapatite bioceramics modified by graphene-like structures investigation effect of graphene on the structure and properties of material. Biogenic hydroxyapatite bioceramics modified by graphene-like structures were successfully prepared by chemical vapor deposition (CVD) method. Subsequently, microstructure, composition, specific surface area, skeleton density, resorption rate in physiological solution and cytotoxicity were evaluated. XRD, IR spectroscopy, micro-Raman spectroscopy and SEM proved graphene oxide’s formation on biogenic hydroxyapatite as well as on silica single crystal for comparison. Although the coating of graphene-like structures on biogenic hydroxyapatite bioceramics reduces the specific surface area, it allows to 4 times increase resorption rate of biogenic hydroxyapatite bioceramics in physiological solution and does not affect the overall assessment of the cytotoxicity. MTT assay established non-cytotoxic effect and indicated a high potential of biogenic hydroxyapatite bioceramics modified by graphene-like structures using CVD method for medical application.
Taxonomy, phylogeny and evolution of freshwater Hypocreomycetidae (Sordariomycetes)
Authors: Bao Dan-Feng , Hyde Kevin D. , Maharachchikumbura Sajeewa S. N. , Perera Rekhani H. , Thiyagaraja Vinodhini , Hongsanan Sinang , Wanasinghe Dhanushka N. , Shen Hong-Wei , Tian Xing-Guo , Yang Li-Quan , Nalumpang Sarunya , Luo Zong-Long
Published: August 2023

Hypocreomycetidaeis a highly diverse group with species from various habitats. This subclass has been reported as pathogenic, endophytic, parasitic, saprobic, fungicolous, lichenicolous, algicolous, coprophilous and insect fungi from aquatic and terrestrial habitats. In this study, we focused on freshwater fungi ofHypocreomycetidaewhich resulted 41 fresh collections from China and Thailand. Based on morphological and phylogenetic analyses, we identified 26 species that belong to two orders (HypocrealesandMicroascales) and six families (Bionectriaceae,Halosphaeriaceae,Microascaceae,Nectriaceae,SarocladiaceaeandStachybotryaceae). Ten new species are introduced and 13 new habitats and geographic records are reported.Mariannaea superimposita, Stachybotrys chartarumandS. chlorohalonatusare recollected from freshwater habitats in China. Based on phylogenetic analysis of combined LSU, ITS, SSU,rpb2 andtef1-α sequences data,Emericellopsisis transferred toHypocrealesgeneraincertae sedis;Pseudoacremoniumis transferred toBionectriaceae;Sedecimiellais placed inNectriaceae;NautosphaeriaandTubakiellaare excluded fromHalosphaeriaceaeand placed inMicroascalesgeneraincertae sedis; andFaurelinais excluded fromHypocreomycetidae.Varicosporellais placed underAtractiumas a synonym ofAtractium. In addition, phylogenetic analysis and divergence time estimates showed thatAscocodina,Campylospora,CornuvesicaandXenodactylariaceaeform distinct lineages inHypocreomycetidaeand they evolved in the family/order time frame. Hence, a new order (Xenodactylariales) and three new families (Ascocodinaceae,CampylosporaceaeandCornuvesicaceae) are introduced based on phylogenetic analysis, divergence time estimations and morphological characters. Ancestral character state analysis is performed for different habitats ofHypocreomycetidaeincluding freshwater, marine and terrestrial taxa. The result indicates that marine and freshwater fungi evolved independently from terrestrial ancestors. The results further support those early diverging clades of this subclass, mostly comprising terrestrial taxa and freshwater and marine taxa have been secondarily derived, while the crown clade (Nectriaceae) is represented in all three habitats. The evolution of various morphological adaptations towards their habitual changes are also discussed.
High molecular risk variants, severe thrombocytopenia and large unstained cells count affect the outcome in primary myelofibrosis
Authors: Kanduła Zuzanna , Janowski Michał , Więckowska Barbara , Paczkowska Edyta , Mroczkowska-Bękarciak Aleksandra , Sobas Marta , Lewandowski Krzysztof
Published: July 2023

Apart from the driver mutations, high molecular risk (HMR) variants and other factors have been reported to influence the prognosis of primary myelofibrosis (PMF). The aim of our study was to investigate the impact of laboratory and molecular characteristics at the time of diagnosis (TOD) on the PMF outcome. The study group consisted of 82 patients recruited from three Polish university centers. Among the driver mutations, only CALR type 1 positively influenced the overall survival (OS). The risk of progression to accelerated or blastic disease phase (AP/BP) did not depend on the driver mutation type, but was closely associated with the presence of HMR variants (p = 0.0062). The risk of death (ROD) was higher in patients with HMR variants (OR[95%CI] = 4.33[1.52;12.34], p = 0.0044) and in patients with a platelet count at the TOD between 50–100 G/L (HR[95%CI] = 2.66[1.11;6.35]) and < 50 G/L (HR[95%CI] = 8.44[2.50;28.44]). Median survival time was 7.8, 2.2 and 1.4 years in patients with large unstained cells (LUC) count of [0.0–0.2], (0.2–0.4] and > 0.4 G/L at the TOD, respectively. We found an unexpected, hitherto undescribed, association between LUC count at the TOD and PMF prognosis. Our analysis led to the following conclusions: in PMF patients at the TOD 1) the presence of HMR variants, especially combined, is associated with an increased risk of progression to the AP and BP, and shorter OS, 2) severe thrombocytopenia confers worse prognosis than the moderate one, 3) LUC count is closely related with the disease phase, and associated with the ROD and OS.
Multiplex real-time PCR FilmArray performance in the diagnosis of meningoencephalitis: lights and shadows
Authors: López Néstor , Cuesta Genoveva , Rodríguez-Vega Sara , Rosas Enric , Chumbita Mariana , Casals-Pascual Climent , Morata Laura , Vergara Andrea , Bodro Marta , Bosch Jordi , Herrera Sabina , Martínez Jose Antonio , Mensa Josep , Garcia-Vidal Carolina , Marcos María Ángeles , Vila Jordi , Soriano Alex , Puerta-Alcalde Pedro
Published: July 2023

Purpose

We aimed to evaluate the performance of the FilmArray (FA) meningitis/encephalitis (ME) panel. Secondarily, we analyzed the false positive (FP) and false negative (FN) results, as well as the predictive values of the technique, regarding the cerebrospinal fluid (CSF) characteristics.

Methods

FA is a multiplex real-time PCR detecting 14 of the most common ME pathogens in CSF. All FA performed at our hospital (2018–2022) were retrospectively reviewed. FA was compared to conventional techniques and its performance was assessed based on the final diagnosis of the episode.

Results

FA was performed in 313 patients with suspicion of ME. Most patients had altered mental status (65.2%) and fever (61%). Regarding CSF characteristics, 49.8% and 53.7% presented high CSF proteins and pleocytosis, respectively. There were 84 (26.8%) positive FA results, mainly for HSV-1 (10.9%), VZV (5.1%), Enterovirus (2.6%), and S. pneumoniae (1.9%). In the 136 cases where both FA and routine methods were performed, there was a 25.7% lack of agreement. We identified 6.6% FN results, but 28.6% FP, mainly due to HSV-1. This resulted in a high negative predictive value (NPV) of 93.4%, but a positive predictive value (PPV) of 73%. Remarkably, PPV as low as 36.9%, and 70.2%, were found in cases without pleocytosis, or lack of high CSF protein levels, respectively.

Conclusion

FA was associated with high NPV, but frequent FP results and low PPV, particularly for HSV-1, and especially in patients without high CSF protein levels or pleocytosis.
Influence of edge-deposited layers on mechanical and corrosion properties of laser beam welds of 15 mm thick AISI 2205 duplex stainless steel
Authors: Straße Anne , Gumenyuk Andrey , Rethmeier Michael
Published: July 2023

AISI 2205 duplex stainless steel is used in a variety of industries, including the chemical and petrochemical industries. This is due to its high tensile strength combined with good ductility and corrosion resistance. However, in laser beam welding, these properties are negatively affected by the high cooling rates typical of the welding process. The resulting higher ferrite content in the weld metal than in the base material leads to a reduction in the ductility and corrosion resistance of the welded joint. To overcome this problem, in this study, thick plates were coated by direct energy deposition (DED) prior to laser beam welding, whereas a duplex powder mixture containing a higher nickel concentration was used as a coating material. To improve the weld quality for the proposed two-step process, a method of additional material deposition instead of conventional tack weld was investigated. The resulting welded joints showed a well-balanced austenite to ferrite ratio and their properties and microstructure were verified by metallographic analysis, electron backscatter diffraction and Charpy impact testing. Using the standard ASTM G48 test method, it was found that the corrosion resistance of the welds was improved by a factor of four in average compared to the conventionally welded joints. The resulting properties, such as good ductility and corrosion resistance, of the welds with pre-coated edges showed good agreement with those of the base metal and confirmed the proposed two-step process as a promising alternative to the conventional approaches for welding thick duplex stainless steel plates.