bluuebunny/crossref_metadata_2025_split huggingface dataset:
High work satisfaction despite high workload among European organic mixed livestock farmers: a mixed-method approach
Authors: Schanz Lisa , Oehen Bernadette , Benoit Marc , Bernes Gun , Magne Marie-Angélina , Martin Guillaume , Winckler Christoph 
Published: January 2023

AbstractOrganic mixed livestock farming offers a range of potential benefits for the environment. Due to the diversification of enterprises, this farming system can be associated with a high workload, which means that it could be socially unsustainable. The aim of this study was to understand and explain work satisfaction of farmers running an organic mixed livestock farm. Using a mixed-method approach, quantitative and qualitative data were collected from 102 farmers in seven European countries during face-to-face interviews. We showed for the first time that across Europe and different animal species and category combinations, organic mixed livestock farms can provide a high work satisfaction, despite a high workload. By using a mixed-method approach and a clear framework, we aimed at better understanding work satisfaction. Underlying reasons for work satisfaction included the diversity of tasks, opportunities to learn, autonomy in the work schedule, perceived acknowledgement by consumers, and the contribution to sustainable food production. Factors contributing to work satisfaction identified in the analysis of quantitative data included workload, number of livestock units, mental complexity, proportion of work peaks per year, and the match between wanted free time and time taken off work. The combination of qualitative and quantitative data allowed a deeper understanding of farmers’ work satisfaction and revealed consistent findings. Future research should investigate the relationship between farmers’ work satisfaction and capacity for innovation, flexibility, and adaptation potential.
The chemical structures and biological activities of indole diterpenoids
Authors: Niu Jingwen , Qi Jianzhao , Wang Pengchao , Liu Chengwei , Gao Jin-ming 
Published: January 2023

AbstractIndole diterpenoids (IDTs) are an essential class of structurally diverse fungal secondary metabolites, that generally appear to be restricted to a limited number of fungi, such as Penicillium, Aspergillus, Claviceps, and Epichloe species, etc. These compounds share a typical core structure consisting of a cyclic diterpene skeleton of geranylgeranyl diphosphate (GGPP) and an indole ring moiety derived from indole-3-glycerol phosphate (IGP). 3-geranylgeranylindole (3-GGI) is the common precursor of all IDTs. On this basis, it is modified by cyclization, oxidation, and prenylation to generate a large class of compounds with complex structures. These compounds exhibit antibacterial, anti-insect, and ion channel inhibitory activities. We summarized 204 compounds of IDTs discovered from various fungi over the past 50 years, these compounds were reclassified, and their biological activities were summarized. This review will help to understand the structural diversity of IDTs and provide help for their physiological activities.
Graphical Abstract
Many Paths to Anticipatory Behavior: Anticipatory Model Acquisition Across Phylogenetic and Ontogenetic Timescales
Authors: Sims Matthew 
Published: January 2023

AbstractUnder the assumption that anticipatory models are required for anticipatory behavior, an important question arises about the different manners in which organisms acquire anticipatory models. This article aims to articulate four different non-exhaustive ways that anticipatory models might possibly be acquired over both phylogenetic and ontogenetic timescales and explore the relationships among them. To articulate these different model-acquisition mechanisms, four schematics will be introduced, each of which represents a particular acquisition structure that can be used for the purposes of comparison, analysis, and hypothesis formulation. By bringing to the fore the differences and similarities between each of the four ways that anticipatory models are acquired, a more complete picture of both anticipatory behavior and its pervasive role in biological self-maintenance can be offered. In doing so, this article helps not only to shed light on how anticipatory behavior might arise in the wide range of organisms that it has been observed in but also to throw into relief the subtle and often still overlooked causal interplay between ontogenetic and phylogenetic plasticity.
Metalaxyl-resistant mutant strains of Phytophthora boehmeriae are as aggressive and fit as their metalaxyl-sensitive wild-type parents
Authors: Chen Fangxin , Qi Yongxia , Jiang Bingxin , Cao Shun , Liu Xiao , Gao Zhimou 
Published: January 2023

AbstractPhytophthora boehmeriae Sawada is an important pathogenic oomycete, and causes Phytophthora blight of cotton and ramie, which are main limiting factors to the production of cotton and ramie in China. The aggressiveness and fitness of the metalaxyl-resistant (MR) mutants of P. boehmeriae obtained by inducing on LBA amended with sublethal dose (10 µg·mL−1) of metalaxyl were studied in this paper. The results showed that there were no significant differences between the MR mutants and their metalaxyl-sensitive (MS) wild-type parents in temperature for mycelial growth, zoosporangium production, sensitivity to malachite green, and the pathogenicity to cotton seedlings. However, the oospore productions of the mutants were much lower than those of their MS parents. The growth rates and the colony morphology of MR mutants and their MS parents all displayed obvious variation or separation, and were inherited unsteadily in their single-zoospore and single-oospore progenies. At the same time, the homothallic character of MR mutants could inherit steadily as well as that of the MS wild-type isolates did in asexual and sexual progenies. It was suggested that the MR mutants of P. boehmeriae possessed equal aggressiveness and fitness with their MS parental isolates, and would develop the MR population easily in a short time as long as the MR mutants formed. Thereby, there would be a high risk of development of metalaxyl resistance in populations of P. boehmeriae in the field, when metalaxyl was long and continuously applied for the control of the diseases caused by P. boehmeriae.
Pointing to the Ahmarian. Lithic Technology and the El-Wad Points of Al-Ansab 1
Authors: Gennai Jacopo , Schemmel Marcel , Richter Jürgen 
Published: January 2023

AbstractThe Ahmarian is the earliest fully fledged Upper Palaeolithic Levantine industry, and its hallmark is the el-Wad point, assumed to be a projectile implement. The Ahmarian is a blade-bladelet volumetric industry; however, bladelet production has frequently been portrayed as undifferentiated or secondary to blade production. El-Wad points are blades or bladelets with a fine to steep lateral retouch, often further shaping the tip. The role of bladelets and blades, both in the retouched and unretouched assemblages, is highly debated in order to refine Early Upper Palaeolithic (EUP) taxonomical and technological issues. Here, we use data coming from our excavations at the southern Ahmarian site of Al-Ansab 1 to reconsider the role of bladelets and el-Wad points in the assemblage. We show that bladelet production was key, and blades were mostly used to shape the convexities to produce convergent bladelets. El-Wad point blanks mostly stemmed from an early stage of the reduction sequence, being conventionally classified as small blades or big bladelets. Modification of these blanks likely improved their suboptimal shape, while smaller bladelets were not modified. Our detailed review of the existing literature produced corresponding evidence regarding lithic technology, while the exact function of el-Wad points is still pending on complementary use-wear analyses. With our new data, we expect to provoke a reconsideration of the Ahmarian technological system. As bladelets attract more and more attention in EUP research, we propose that the southern Ahmarian had already fully completed the technological and cultural shift to the preferred use of small projectile inserts.
Wave Radiation from Bottom Vibrations in Open-Channel Flow with Uniform Vorticity
Authors: Tyvand Peder A. 
Published: January 2023

AbstractThe linearized water-wave radiation problem for a 2D oscillating source in an inviscid shear flow with a free surface is investigated analytically. The singular source is located at the bottom, with constant fluid depth. The velocity of the basic flow varies linearly with depth, assuming uniform vorticity. The far-field surface waves radiated out from the 2D bottom source are calculated, based on Euler’s equation of motion with the application of radiation conditions. The present analysis extends the work by Tyvand and Sveen to include a nonzero surface flow. Doppler effects will arise in a system at rest with the undisturbed free surface. Resonance with zero group velocity will occur at a critical Froude number for the surface flow. In the presence of a basic surface flow, there are in total four radiated waves when the surface flow is subcritical. With supercritical flow, there are only two emitted waves, with downstream propagation. The critical Froude number depends on the surface velocity, the shear rate and the oscillation frequency of the bottom source.
Patient-specific finite element modeling of scoliotic curve progression using region-specific stress-modulated vertebral growth
Authors: D’Andrea Christian R. , Samdani Amer F. , Balasubramanian Sriram 
Published: January 2023

Abstract
Purpose
This study describes the creation of patient-specific (PS) osteo-ligamentous finite element (FE) models of the spine, ribcage, and pelvis, simulation of up to three years of region-specific, stress-modulated growth, and validation of simulated curve progression with patient clinical angle measurements. Research Question: Does the inclusion of region-specific, stress-modulated vertebral growth, in addition to scaling based on age, weight, skeletal maturity, and spine flexibility allow for clinically accurate scoliotic curve progression prediction in patient-specific FE models of the spine, ribcage, and pelvis?

Methods
Frontal, lateral, and lateral bending X-Rays of five AIS patients were obtained for approximately three-year timespans. PS-FE models were generated by morphing a normative template FE model with landmark points obtained from patient X-rays at the initial X-ray timepoint. Vertebral growth behavior and response to stress, as well as model material properties were made patient-specific based on several prognostic factors. Spine curvature angles from the PS–FE models were compared to the corresponding X-ray measurements.

Results
Average FE model errors were 6.3 ± 4.6°, 12.2 ± 6.6°, 8.9 ± 7.7°, and 5.3 ± 3.4° for thoracic Cobb, lumbar Cobb, kyphosis, and lordosis angles, respectively. Average error in prediction of vertebral wedging at the apex and adjacent levels was 3.2 ± 2.2°. Vertebral column stress ranged from 0.11 MPa in tension to 0.79 MPa in compression.

Conclusion
Integration of region-specific stress-modulated growth, as well as adjustment of growth and material properties based on patient-specific data yielded clinically useful prediction accuracy while maintaining physiological stress magnitudes. This framework can be further developed for PS surgical simulation.
A multi-output network with U-net enhanced class activation map and robust classification performance for medical imaging analysis
Authors: Schraut Jaiden Xuan , Liu Leon , Gong Jonathan , Yin Yiqiao 
Published: January 2023

AbstractComputer vision in medical diagnosis has achieved a high level of success in diagnosing diseases with high accuracy. However, conventional classifiers that produce an image-to-label result provide insufficient information for medical professionals to judge and raise concerns over the trust and reliability of a model with results that cannot be explained. To gain local insight of cancerous regions, separate tasks such as imaging segmentation needs to be implemented to aid the doctors in treating patients which doubles the training time and costs which renders the diagnosis system inefficient and difficult to be accepted by the public. To tackle this issue and drive the AI-first medical solutions further, this paper proposes a multi-output network which follows a U-Net architecture for image segmentation output and features an additional CNN module for auxiliary classification output. Class Activation Maps or CAMs are a method of providing insight into a convolutional neural network’s feature maps that lead to its classification but in the case of lung diseases, the region of interest is enhanced by U-net assisted Class Activation Mapping (CAM) visualization. Therefore, our proposed model combines image segmentation models and classifiers to crop out only the lung region of a chest X-ray’s class activation map to provide a visualization that improves the explainability and can generate classification results simultaneously which builds trust for AI-led diagnosis system. The proposed U-Net model achieves 97.72% accuracy and a dice coefficient of 0.9691 on a testing data from the COVID-QU-Ex Dataset which includes both diseased and healthy lungs.
Design optimization and CFD analysis of the dynamic behavior of a standing wave thermoacoustic engine with various geometry parameters and boundary conditions
Authors: Bouramdane Zahra , Bah Abdellah , Alaoui Mohammed , Martaj Nadia 
Published: January 2023

AbstractThermoacoustic devices are converters of thermal energy into acoustic energy and vice versa. Although these machines contain simple components, the design of these machines is very challenging. In order to predict the behavior and optimize the efficiency of a standing-wave thermoacoustic engine designed to drive a thermally driven thermoacoustic refrigerator, considering changes in geometrical parameters and operating conditions, two analogies have been presented in this paper. The first analogy is based on a CFD simulation carried out to investigate the influence of stack parameters, working gas and boundary conditions on the thermoacoustic process. The second analogy is performed by the use of an optimization algorithm based on the simplified linear thermoacoustic theory to design and optimize the parameters investigated by the CFD study. Stack of parallel plates of normalized stack center positions of 0.007 to 0.26, normalized stack lengths of 0.018 to 0.11, and several gaps and thicknesses of plates and working gases are used. The results from the algorithm give the ability to design any thermoacoustic engine with high efficiency by picking the appropriate parameters. Simulation results show that decreasing thickness and position of the plates gives a significant efficiency. However, there are optimum values for length of the stack and the gap between two plates. The material chosen for the construction of plates should have a low thermal conductivity and gases with higher ratios of specific heats and lower Prandtl numbers are well suitable for thermoacoustic systems.
A methodology to detect pilot perception of warning information by eye movement data and deep residual shrinkage networks
Authors: Yan C.-Q. , Sun Y.-C. , Zhang X. , Mao H.-Y. , Jiang J.-Y. 
Published: January 2023

AbstractThis paper studied the use of eye movement data to form criteria for judging whether pilots perceive emergency information such as cockpit warnings. In the experiment, 12 subjects randomly encountered different warning information while flying a simulated helicopter, and their eye movement data were collected synchronously. Firstly, the importance of the eye movement features was calculated by ANOVA (analysis of variance). According to the sorting of the importance and the Euclidean distance of each eye movement feature, the warning information samples with different eye movement features were obtained. Secondly, the residual shrinkage network modules were added to CNN (convolutional neural network) to construct a DRSN (deep residual shrinkage networks) model. Finally, the processed warning information samples were used to train and test the DRSN model. In order to verify the superiority of this method, the DRSN model was compared with three machine learning models, namely SVM (support vector machine), RF (radom forest) and BPNN (backpropagation neural network). Among the four models, the DRSN model performed the best. When all eye movement features were selected, this model detected pilot perception of warning information with an average accuracy of 90.4%, of which the highest detection accuracy reached 96.4%. Experiments showed that the DRSN model had advantages in detecting pilot perception of warning information.
Application of wavy leading edge to enhance winglet aerodynamic performance
Authors: Flores-Mezarina J.A. , Bravo-Mosquera P.D. , Garcia-Ribeiro D. , Cerón-Muñoz H.D. 
Published: January 2023

AbstractThe wavy leading edge (WLE, also known as leading edge protuberances) is a passive flow control device inspired by the humpback whale pectoral flippers. It reduces the flow of three-dimensional effects on wings and increases their aerodynamic performance at high angles of attack. Despite the numerous studies on its aerodynamic benefits, research on its possible applications is still incipient. Therefore, this article addresses an evaluation of the WLE effects on the aerodynamic performance of a winglet. A rectangular wing, a base smooth leading edge winglet, and a winglet with WLE were designed and manufactured for CFD simulations and wind tunnel measurements. The winglet with WLE increased the maximum aerodynamic efficiency, i.e. this configuration reduced the induced drag by increasing wingtip vortex dissipation at a given angle-of-attack. Such results were used in re-evaluations of the aerodynamic performance of an original agricultural aircraft initially configured with a multi-winglet device. The winglet with WLE showed to be effective at increasing the aircraft operational time and range under a simulated actual condition.
Does plant-based milk reduce sales of dairy milk? Evidence from the almond milk craze
Authors: Slade Peter 
Published: January 2023

AbstractIn recent years, there has been significant growth in the sales of plant-based alternatives to meat and dairy products. However, it remains unclear whether these alternatives are actually reducing sales of livestock-derived products. This paper examines the relationship between the sales of one particular livestock-derived product – unflavored dairy milk – and its plant-based alternative – nondairy milk. Using data from a panel of US consumers between 2004 and 2018, I find that a 1-gallon increase in nondairy milk sales is associated with a 0.43–0.60 gallon reduction in dairy milk sales. The inverse relationship between dairy and nondairy milk purchases is strongest among households with high initial expenditure on dairy milk. Despite the inverse relationship between dairy and nondairy milk purchases, the rapid increase in nondairy milk sales between 2009 and 2018 explains little of the concomitant decline in dairy milk sales.
Mixed-methods process evaluation of a respiratory-culture diagnostic stewardship intervention
Authors: Chiotos Kathleen , Marshall Deanna , Kellom Katherine , Whittaker Jennifer , Wolfe Heather , Woods-Hill Charlotte , Stinson Hannah , Keim Garrett , Blumenthal Jennifer , Piccione Joseph , Lee Giyoung , Sydney Guy , Gerber Jeffrey 
Published: January 2023

AbstractObjective:To conduct a process evaluation of a respiratory culture diagnostic stewardship intervention.Design:Mixed-methods study.Setting:Tertiary-care pediatric intensive care unit (PICU).Participants:Critical care, infectious diseases, and pulmonary attending physicians and fellows; PICU nurse practitioners and hospitalist physicians; pediatric residents; and PICU nurses and respiratory therapists.Methods:This mixed-methods study was conducted concurrently with a diagnostic stewardship intervention to reduce the inappropriate collection of respiratory cultures in mechanically ventilated children. We quantified baseline respiratory culture utilization and indications for ordering using quantitative methods. Semistructured interviews informed by these data and the Consolidated Framework for Implementation Research (CFIR) were then performed, recorded, transcribed, and coded to identify salient themes. Finally, themes identified in these interviews were used to create a cross-sectional survey.Results:The number of cultures collected per day of service varied between attending physicians (range, 2.2–27 cultures per 100 days). In total, 14 interviews were performed, and 87 clinicians completed the survey (response rate, 47%) and 77 nurses or respiratory therapists completed the survey (response rate, 17%). Clinicians varied in their stated practices regarding culture ordering, and these differences both clustered by specialty and were associated with perceived utility of the respiratory culture. Furthermore, group “default” practices, fear, and hierarchy were drivers of culture orders. Barriers to standardization included fear of a missed diagnosis and tension between practice standardization and individual decision making.Conclusions:We identified significant variation in utilization and perceptions of respiratory cultures as well as several key barriers to implementation of this diagnostic test stewardship intervention.
Post-depositional history of the lower Palaeocene interval using petrographic, CL and geochemical data in the East Tethys: Kopet-Dagh Basin, northeast Iran
Authors: Heidari Akbar , Gonzalez Luis A , Moussavi-Harami Reza , Shokri Narges 
Published: January 2023

AbstractThis study investigates the Danian siliciclastic successions in the East Tethys in the Kopet-Dagh Basin, NE Iran, which are composed of conglomerates, sandstones, shales and mudstones. The studied interval includes significant changes in sedimentary environments from alluvial to fluvial systems. The Danian siliciclastic formation is sandwiched between two marine carbonate sequences. The effects of the late Palaeocene sea transgression can be traced back to the precipitation of several types of carbonate cement in the studied siliciclastic formation. Several diagenetic features have been identified in the studied successions. The most observed features comprise physical and chemical compaction, cementation, alteration, dissolution, fractures and fillings. Some of the mentioned diagenetic processes, such as cementation, may be seen in a range of diagenetic environments and phases, such as early meteoric, low depth and deep burial, and late meteoric after the tectonic uplifting. The calcite cements considered in this study have been subdivided into four types. Some of the calcite cements, such as the rim, gravity pendant and meniscus, are classified as type one. They have formed around the rock grains and show no luminescence. The blocky and poikilotopic types have been grouped in type two. They are deposited between grains and exhibit dark luminescence. Type three cement consists of some of the blocky and poikilotopic cements that have formed amid grains and present a bright luminescence. Finally, type four comprises filled fractures which display a dark luminescence (blocky cement). Geochemical data revealed that the categorized cement types were precipitated in three diagenetic environments: early meteoric; burial; and late meteoric after the uplifting. The meteoric diagenetic environment is subdivided into vadose and phreatic meteoric. The burial diagenetic environment is subdivided into shallow burial and deeper burial. The qualitative petrographic method contributed to the initial recognition of the diagenetic features. The semi-quantitative cathodoluminescence method, the quantitative major and trace elements, and oxygen and carbon stable isotope analysis were utilized to evaluate the exact diagenetic processes and environments. Finally, the diagenetic sequence was reconstructed and depicted as diagenetic models and a paragenesis sequence. The data of this study can lay the foundation for future studies on the siliciclastic diagenesis in the studied basin.