Functional Variation Research Articles

Bioremediation of nitrate in agricultural drainage ditches: Impacts of low-grade weirs on microbiomes and nitrogen cycle gene abundance

Artificial drainage is essential for the success of modern agriculture, but it can also accelerate the movement of nutrients, especially nitrate, from soil to surrounding and downstream water bodies. Removal of nitrate from agricultural drainage by using controlled drainage systems, such as ditches installed with low-grade weirs, has been shown to help reduce nutrient loading into watersheds. However, the effect of low-grade weirs varies greatly, likely due to the differences in climate, system designs (e.g., hydraulic characteristics), and the resulting variation in microbial structures and functions in the ditch. In this study, we analyzed the temporal and spatial dynamics of microbiomes in a paired ditch system with weir-installed and uninstalled (control) channels over two years by using the 16S rRNA gene amplicon sequencing and the high-throughput quantitative PCR targeting various N cycle-associated genes [the Nitrogen Cycle Evaluation (NiCE) chip]. The installation of the low-grade weir had a significant impact on the microbiome structure and the distribution of denitrifiers. Microbiome structures also differed significantly between the ditch inlets and the outlets. Denitrification functional genes were more abundant in the inlets than in the other locations and in the channel installed with a low-grade weir. Additionally, oxygenic denitrifiers that utilize nitric oxide dismutase (nod) to produce N2 and O2 gases from nitric oxide were detected in the ditch channels, suggesting the occurrence of nitrate removal process that bypasses the production of nitrous oxide (N2O). The ditch microbiomes sampled during high-flow seasons (i.e., spring and fall) exhibited greater similarity to each other than microbiomes sampled during low-flow seasons (i.e., summer). Taken together, this study indicates that the low-grade weirs have the potential to foster a more favorable environment for denitrifiers, resulting in an increase in the abundance of denitrification functional genes. These findings could offer valuable insights into system management and optimization strategies.

Sobolev and BV functions on RCD spaces via the short-time behaviour of the heat kernel

Sobolev and BV functions on RCD spaces via the short-time behaviour of the heat kernel

Relationship functioning and impact of health coverage models for parents of childhood cancer patients: A systematic review.

The current systematic literature review aimed to summarize and evaluate existing literature regarding parental relationship functioning during and after childhood cancer, with an exploratory evaluation regarding the impact of national health coverage model (proxy for finances). This review used MEDLINE, PsychInfo, Embase, and CENTRAL search database. Articles were reviewed (N = 3060) against inclusion criteria, with 512 abstracts screened and 87 full-text retrieved and reviewed. Inclusion criteria: (1) childhood cancer, (2) measures parental relationship functioning, (3) English, and (4) new, empirical data. A modified version of the Downs and Black checklist was used to assess risk of bias. Narrative synthesis was used to present and discuss results. Final included articles (N = 36) revealed mostly positive or neutral findings across parental relationship functioning subdomains within 6months (T1) and after 6months (T2) of childhood cancer diagnosis. Sexual intimacy was negatively impacted across timepoints. Parental stress was higher than norms at T1. Marital conflict and adjustment were also worse at T1 but returned to previous levels at T2. Some variability in parental relationship functioning was observed among the different health coverage models, but these differences were not significant. Results support systematic screening and systems-based parent support programs for families of children with cancer. Mixed-methods studies examining parental relationships longitudinally and utilizing operational definitions for out-of-pocket spending are needed.

Laboratory study of energy transformation characteristics in breaking wave groups

The spilling-breaking waves that appear in chirped wave packets are studied in a two-dimensional wave channel. These waves are produced by superposing waves with gradually decreasing frequencies. The analysis focuses on the nonlinear characteristics, energy variation, and energy transformation during the evolution and breaking of wave groups. Ensemble empirical mode decomposition is used to analyze the non-breaking and breaking energy variations of the intrinsic mode functions (IMFs). It is found that the third-order IMF component is a source of non-breaking energy dissipation and the second-order IMF, which represents a short wave group with a relatively higher energy content, is a primary source of the energy loss caused by wave breaking. Additionally, the findings reveal that among the three waves preceding the maximum crest, the wave closest to the maximum crest carried most of the energy. When wave breaking occurs, the energy dissipation caused by the wave breaking primarily originates from that wave. After wave breaking, whether it is the first breaker or subsequent breakers, the main energy dissipation occurs in a frequency range higher than the dominant frequency. This energy loss plays a significant role in increasing the energy of free waves. Moreover, a potential link between the number of carrier waves and wave breaking phenomena has been found. As the number of carrier waves increased, both the nonbreaking and breaking energy dissipation rates exhibited an overall increasing trend. The amount of nonbreaking energy dissipation was generally more than twice the breaking energy dissipation rate. For wave groups with more carrier waves, the modulation instability plays a significant role in generating larger waves. Furthermore, an analysis of the dominant frequency variations of the wave group before wave breaking suggests that wave breaking is not a sufficient condition for a frequency downshift in the wave spectra.

Convergence of an adaptive C0-interior penalty Galerkin method for the biharmonic problem

Abstract We develop a basic convergence analysis for an adaptive ${C}^{0}\mathsf{IPG}$ method for the biharmonic problem that provides convergence without rates for all practically relevant marking strategies and all penalty parameters assuring coercivity of the method. The analysis hinges on embedding properties of (broken) Sobolev and BV spaces, and the construction of a suitable limit space. In contrast to the previous convergence result of adaptive discontinuous Galerkin methods for elliptic PDEs, here we have to deal with the fact that the Lagrange finite element spaces may possibly contain no proper $C^{1}$-conforming subspace. This prevents from a straight forward generalization and requires the development of some new key technical tools.

Strong large‐scale structure–function coupling in benthic bacteria is mediated by algae in a geodiverse river network

AbstractBenthic bacteria in stream ecosystems drive organic matter mineralization. However, knowledge on how this ecosystem function is driven by bacterial community composition in interaction with environmental conditions and organic matter resources is poor. This is especially true when considering the regional scale of river networks, at which environmental conditions vary in a scale‐dependent manner and are spatially structured due to asymmetrical water flow. Similarly, organic matter resources may have a terrestrial origin in remote headwaters or be sourced locally from algae living in close proximity to bacteria in benthic biofilms. We investigated benthic biofilm meta‐community structure and function across the > 6700 km2 river network of the near‐natural Vjosa in Albania and Greece and found a strong control of the benthic algal community on bacterial community composition (13.4% of variability explained). In addition, bacterial community composition has linkages to water chemistry, which itself is strongly shaped by the diverse geology in the catchment, and to dispersal, shaping metacommunity structure as a neutral process. Notably, bacterial community composition explained the largest single fraction of variability (31.5%) in extracellular enzymatic activities, while there was no dependency of enzyme ratios on organic matter nor environmental conditions. Synergistic effects between bacteria and algae accounted for additional 47.3% of variability in heterotrophic functioning, emphasizing the importance of algal–bacterial interactions in benthic biofilms. Our findings shed new light on bacterial structure–function coupling highlighting the importance of algal–bacterial interactions at the river network scale.

Cognitive profiles across the psychosis continuum

Cognitive impairments are core features in individuals across the psychosis continuum and predict functional outcomes. Nevertheless, substantial variability in cognitive functioning within diagnostic groups, along with considerable overlap with healthy controls, hampers the translation of research findings into personalized treatment planning.Aligned with precision medicine, we employed a data driven machine learning method, self-organizing maps, to conduct transdiagnostic clustering based on cognitive functions in a sample comprising 228 healthy controls, 200 individuals at ultra-high risk for psychosis, and 98 antipsychotic-naïve patients with first-episode psychosis.The self-organizing maps revealed six clinically distinct cognitive profiles that significantly predicted baseline functional level and changes in functional level after one year. Cognitive flexibility in particular, as well as specific executive functions emerged as cardinal in differentiating the profiles. The application of self-organizing maps appears to be a promising approach to inform clinical decision-making based on individualized cognitive profiles, including patient allocation to different interventions. Moreover, this method has the potential to enable cross-diagnostic stratification in research trials, utilizing data-driven subgrouping informed by categories from underlying dimensions of cognition rather than from clinical diagnoses. Finally, the method enables cross-diagnostic profiling across other data modalities, such as brain networks or metabolic subtypes.

Within-population variation in preference functions reveals substantial among-female disagreement in mate assessment.

The mate choice behaviors of females can greatly affect patterns of reproductive success in males and influence the evolution of sexually selected male traits. Population-level estimates of display preferences may provide an accurate estimate of the strength and direction of selection by female choice if all females in the population show homogeneous preferences. However, population-level estimates may yield misleading estimates if there is within-population variation in mate preferences. While it is increasingly clear that the latter situation is common in nature, empirical data on the magnitude of variation in female preferences is required to improve our current understanding of its potential evolutionary consequences. We explored variation in female preference functions for three male call properties in a treefrog. We document substantial within-population variation not only in peak preferences but also in preference function shape (open, closed, flat), with at best 62% of females sharing a preference function shape with the respective population curve. Our findings suggest that population curves may accurately capture the direction of sexual selection, but depending on the properties of the constituting individual functions they may over- or underestimate the strength of selection. Particularly population estimates suggesting weak selection may in fact hide the presence of individual females with strong but opposing preferences. Moreover, due to the high within-population variation in both peak preferences and preference function shapes, the population functions drastically underestimate the predicted variation in male mating success in the population.

BV Functions and Nonlocal Functionals in Metric Measure Spaces

We study the asymptotic behavior of three classes of nonlocal functionals in complete metric spaces equipped with a doubling measure and supporting a Poincaré inequality. We show that the limits of these nonlocal functionals are comparable to the total variation ‖Df‖(Ω)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Vert Df\\Vert (\\Omega )$$\\end{document} or the Sobolev semi-norm ∫Ωgfpdμ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\int _\\Omega g_f^p\\, d\\mu $$\\end{document}, which extends Euclidean results to metric measure spaces. In contrast to the classical setting, we also give an example to show that the limits are not always equal to the corresponding total variation even for Lipschitz functions.

Sex, flies and flower trap: Trapping trichomes and their function in pollination

Abstract Trapping trichomes, a common trait found in protogynous trap flowers, are thought to enable interaction with pollinators, promoting both pollen removal and fruit set. However, this hypothesis has yet to be empirically confirmed. In this study, we experimentally tested whether trapping trichomes favour male and female functions in trap flowers. Using protogynous South American Aristolochia esperanzae trap flowers, we observed the temporal variation in both sexual functions and associated them with the wilting of the flower and trapping trichomes. Next, we described the trapping trichomes features associated with the capture, entrapment and release of pollinators. Finally, we used manipulative experiments involving trapping trichome removal to quantify their influence on pollinator entrapment, pollen removal and fruit set. While flowers wilted after the end of the female phase, the trapping trichomes only wilted some hours after pollen presentation, promoting a delay in the exit of pollinators, so they carried pollen. Trapping trichomes features, such as a density gradient towards the interior of the tube, unidirectional orientation and epicuticular waxes, may be important in the capture and entrapment of pollinators. Trapping trichome removal decreased drastically the probability of pollinator entrapment and pollen removal, leading to no fruit set. These results indicate that the evolution and maintenance of trapping trichomes in trap flowers probably occurred through selective pressures from both sexual functions and highlight their role in the functioning of this highly phenotypically specialized pollination system. Read the free Plain Language Summary for this article on the Journal blog.

Regional heterogeneity in the membrane properties of mouse striatal neurons.

The cytoarchitecture of the striatum is remarkably homogeneous, in contrast to the regional variation in striatal functions. Whether differences in the intrinsic membrane properties of striatal neurons contribute to regional heterogeneity has not been addressed systematically. We made recordings throughout the young adult mouse striatum under identical conditions, with synaptic input blocked, from four major striatal neuron types, namely, the two subtypes of spiny projection neurons (SPNs), cholinergic interneurons (ChIs), and fast-spiking GABAergic interneurons (FSIs), sampling at least 100 cells per cell type. Regional variation manifested across all cell types. All cell types in the nucleus accumbens (NAc) shell had higher input impedance and increased excitability. Cells in the NAc core were differentiated from the caudate-putamen (CPu) for both SPN subtypes by smaller action potentials and increased excitability. Similarity between the two SPN subtypes showed regional variation, differing more in the NAc than in the CPu. So, in the Str, both the intrinsic properties of interneurons and projection neurons are regionally heterogeneous, with the greatest difference between the NAc and CPu; greater excitability of NAc shell neurons may make the region more susceptible to activity-dependent plasticity.

Exploring the interface dynamics of emulsion gel via a novel non-destructive technique provides insights into the underlying mechanism of gel formation, water mobility, functionality and structural variations

Tri-frequency ultrasound (TFU) at 20-40-60 kHz was used to systematically examine the effects on the multi-scale network structure of an emulsion gel containing orange essential oil prepared with glycosylated whey protein (WP). Treatment intervals of pre-and-post 10, 20, and 30 min were utilized to evaluate the influence and interactions on functional (particle size, zeta-potential), rheological (storage modulus (G′) and loss modulus (G″), and oxidative stability (conjugated diene and peroxide value). The optimized tri-frequency pre- and post-treated sample demonstrated enhanced physical stability as compared to the un-treated sample, as evidenced by droplet size, (from 468.14 ± 0.56 to 214.21 ± 0.42 nm), ζ-Potential (mV) (from −29.67 ± 0.31 to −39.98 ± 1.42), and structural morphology. Structure analysis using FTIR that the aforementioned improvements were made possible through TFU enhanced hydrogen bonds, molecular arrangements with greater order, and improved intermolecular compatibility. XRD results showed gradual shift from 8.32° to 8.64° and from 19.2° to 19.5°, respectively. TFU post-treatment gels exhibited higher viscosity, more pronounced pseudoplastic behavior compare to pre-treatment, attributed to strong interaction forces and three-dimensional gel network. Our results provide valuable insights into the application of multi-frequency ultrasound as a promising technique for designing protein emulsion gels tailored for nutrient delivery systems.

Organic nanoparticles with tunable size and rigidity by hyperbranching and cross-linking using microemulsion ATRP

Unlike inorganic nanoparticles, organic nanoparticles (oNPs) offer the advantage of "interior tailorability," thereby enabling the controlled variation of physicochemical characteristics and functionalities, for example, by incorporation of diverse functional small molecules. In this study, a unique inimer-based microemulsion approach is presented to realize oNPs with enhanced control of chemical and mechanical properties by deliberate variation of the degree of hyperbranching or cross-linking. The use of anionic cosurfactants led to oNPs with superior uniformity. Benefitting from the high initiator concentration from inimer and preserved chain-end functionality during atom transfer radical polymerization (ATRP), the capability of oNPs as a multifunctional macroinitiator for the subsequent surface-initiated ATRP was demonstrated. This facilitated the synthesis of densely tethered poly(methyl methacrylate) brush oNPs. Detailed analysis revealed that exceptionally high grafting densities (~1 nm-2) were attributable to multilayer surface grafting from oNPs due to the hyperbranched macromolecular architecture. The ability to control functional attributes along with elastic properties renders this "bottom-up" synthetic strategy of macroinitiator-type oNPs a unique platform for realizing functional materials with a broad spectrum of applications.

Risk of Acute Kidney Injury Following IV Iodinated Contrast Media Exposure: 2023 Update, From the AJR Special Series on Contrast Media.

Iodinated contrast material (ICM) has revolutionized the field of diagnostic radiology through improvements in diagnostic performance and the expansion of clinical indications for radiographic and CT examinations. Historically, nephrotoxicity was a feared complication of ICM use, thought to be associated with a significant risk of morbidity and mortality. Such fears often precluded the use of ICM in imaging evaluations, commonly at the expense of diagnostic performance and timely diagnosis. Over the past 20 years, the nephrotoxic risk of ICM has become a topic of debate, as more recent evidence from higher-quality studies now suggests that many cases of what was considered contrast-induced acute kidney injury (CI-AKI) likely were cases of mistaken causal attribution; most of these cases represented either acute kidney injury (AKI) caused by any of myriad other known factors that can adversely affect renal function and were coincidentally present at the time of contrast media exposure (termed "contrast-associated AKI" [CA-AKI]) or a manifestation of the normal variation in renal function that increases with worsening renal function. This Special Series Review discusses the current state of knowledge regarding CI-AKI and CA-AKI, including the incidence, risk factors, outcomes, and prophylactic strategies in the identification and management of these clinical conditions.

(058) HAVING SEX OUT OF A SENSE OF DUTY: THE INFLUENCE OF NONCONSENSUAL SEXUAL EXPERIENCES AND SEXUAL FUNCTIONING

Abstract Introduction Pleasure and emotional bonding are two motives for why women have sex that are commonly discussed in the literature. Less commonly reported, but frequently endorsed by women, is the motive “duty sex,” in which an individual engages in sex out of a sense of obligation to maintain a relationship or their partner’s feelings towards them, to ensure their partner will not leave them, or to avoid conflict. Engaging in duty sex can yield negative outcomes such as emotional discomfort and lower relationship satisfaction, although there have been some reports of positive outcomes, including feelings of closeness (O’Sullivan & Allgeier, 1998). Women with a history of nonconsensual sexual experiences (NSEs) show high rates of sexual dysfunction (Pulverman et al., 2018), and sexual dysfunction in women has been linked to a higher tendency to engage in duty sex (Meston & Stanton, 2017). Objective This study aimed to investigate the potential connections between sexual dysfunction and the frequency of duty sex in women with NSE histories. Methods Women (N = 820; mean age = 35.36, SD = 11.32) completed the Nonconsensual Sexual Experiences Inventory (NSEI; Kilimnik & Meston, 2017), the Female Sexual Function Index (FSFI; Rosen et al., 2000), items indicative of duty sex from the Sexual Motivations Scale (Cooper et al., 1998), as well as other measures not reported here. Results Women were categorized as either having NSE history (n = 465) or not (n = 355) based on the NSEI. FSFI total scores predicted duty sex such that women with lower sexual functioning reported engaging in more duty sex, R2 = .18, F(1, 654) = 147.30, p < .01, and higher levels of duty sex predicted lower sexual satisfaction, R2 = .057, F(1, 807) = 50.13, p < .01. Results from a multiple linear regression revealed that NSE history significantly predicted engagement in duty sex after controlling for sexual function, R2 = .19, F(2, 653) = 77.06, p < .01. Conclusions The results suggest that women with NSE histories endorse a higher frequency of duty sex motives compared to women without NSE histories that cannot be explained by variability in sexual functioning. That is, women with NSE histories were more likely to engage in sex out of fear that their partner would love them less, be angry with them, or leave them if they refused to engage in sex, and this effect was over and above the relationship of these motives with sexual dysfunction. As engaging in these duty sex motives was linked to overall sexual dissatisfaction, future research that examines the cognitive mechanisms by which having a history of NSE leads women to feel obligated to have sex out of a sense of duty would help enhance the sex lives of women with NSE histories. Disclosure No.

Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model

<p class="MsoNormal"><strong><span lang="EN-US" style="mso-bidi-font-size: 10.5pt; font-family: Nunito; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: #212529; background: white;">Background: </span></strong><span lang="EN-US" style="mso-bidi-font-size: 10.5pt; font-family: Nunito; color: #212529; background: white;">Bladder cancer (BLCA), particularly invasive BLCA, has become a medical burden worldwide as it is associated with recurrence and easy metastasis. There are specific differences in the expression of various miRNAs in tumor and normal tissues. Hence, miRNAs can be used as biomarkers for tumor diagnosis and prognostic evaluation. The current study aimed to predict the downstream target genes of BLCA-related miRNAs and explore their association with immune infiltration. Method: Data on BLCA-related mRNA and miRNA expression levels were downloaded from The Cancer Genome Atlas. Correlation analysis and Cox regression analysis were performed to validate the miRNA risk model. The infiltration of various immune cells should be compared to determine the distinct differences between the immunological microenvironment of the two risk groups. <strong><span style="font-family: Nunito; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi;">Results: </span></strong>A predictive framework of BLCA was established using the expression levels of two miRNAs. Cox regression analysis showed that the low-risk group had a better prognosis. Then, the target genes of miRNA were predicted, and the target genes were analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Moreover, variations in immune cells and functions between the high- and low-risk groups were assessed. <strong><span style="font-family: Nunito; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi;">Conclusion:</span></strong> The prognostic features composed of two associated miRNAs (MIR-25, MIR-548AN) may help predict the overall survival of BLCA.</span></p>

People Attribute a Range of Highly-Varied and Socially-Bound Meanings to Naturalistic Sad Facial Expressions

Depictions of sadness are commonplace, and here we aimed to discover and catalogue the complex and nuanced ways that people interpret sad facial expressions. We used a rigorous qualitative methodology to build a thematic framework from 3,243 open-ended responses from 41 people who participated in 2020 and described what they thought sad expressors in 80 images were thinking, feeling, and/or intending to do. Face images were sourced from a novel set of naturalistic expressions (ANU Real Facial Expression Database), as well as a traditional posed expression database (Radboud Faces Database). The resultant framework revealed clear themes around the expressors’ thoughts (e.g., acceptance, contemplation, disbelief), social needs (e.g., social support or withdrawal), social behaviours/intentions (e.g., mock or manipulate), and the precipitating events (e.g., social or romantic conflict). Expressions that were perceived as genuine were more frequently described as thinking deeply, reflecting, or feeling regretful, whereas those perceived as posed were more frequently described as exaggerated, overamplified, or dramatised. Overall, findings highlight that facial expressions — even with high levels of consensus about the emotion category they belong to — are interpreted in nuanced and complex ways that emphasise their role as other-oriented social tools, and convey semantically related emotion categories that share smooth gradients with one another. Our novel thematic framework also provides an important foundation for future work aimed at understanding variation in the social functions of sadness, including exploring potential differences in interpretations across cultural settings.

Seasonal variation of physical, perceptual, and cognitive function measures in professional academy soccer players

Soccer match play and training have been documented to significantly impair players' physical function and affect their perceptual wellness, indicating the necessity of evaluating the response to mixed-content training across a soccer season (Deely et al., 2022, Front Physiol, 13, 911009; Brownstein et al., 2017, Front Physiol, 8, 831; Thomas et al., 2017, Med Sci Sports Exer, 49, 955-964). This study aimed to assess seasonal variation in physical, perceptual, and cognitive functions in response to training among professional academy soccer players, to identify whether players develop increased physical robustness or encounter greater physiological and psychological impairments due to the demanding training and match schedule. Ethical approval was granted for sixteen academy players (age: 18 ± 1 years) to undergo a range of tests at three seasonal points - early, mid, and late - at baseline, immediately post-strenuous training, and at 24, 48, and 72 h. The testing regime encompassed physical performance (countermovement jump [CMJ], ten-to-five repeated jump test [10/5 RJT]), cognitive function (Stroop task, Four-Choice Reaction Time [FCRT] test, Corsi Block Test), and perceptual responses via an adapted Short Questionnaire of Fatigue (SQF). Linear mixed modelling (LMM) was employed to analyse the impact of season phase and testing time-points on training response, incorporating testing measures as dependent variables. Jump performance varied across time-points, with performance maintained immediately post-training, although displaying decrements at 24 h (P < 0.001), 48 h (P < 0.01), and remained unresolved at 72 h (P < 0.05). Season phase exerted a fixed effect on physical function, with vertical jumps decreasing from both early- (P = 0.033, CMJ; P < 0.001, 10/5 RJT) and mid-season (P < 0.001, CMJ; P < 0.001, 10/5 RJT) to late-season. Perceptual measures—soreness, fatigue, and readiness to train—varied across the week, with immediate post-session impairments recovering by 48 and 72 hours. Cognitive function remained relatively stable across the training week, with only a decline in Corsi Block performance noted immediately post-session. An improvement in FCRT from early to mid-season was observed, though accuracy decreased from early to late-season. No interaction between season phase and training week time-points was found across any variable, indicating a consistent training response throughout the season, despite substantial impairments in physical function and declines in perceptual wellness observed post-training. The decrease in physical function during the late-season phase underscores the need for enhanced recovery focus and training load monitoring as the season progresses.

An Image Quality Evaluation and Masking Algorithm Based On Pretrained Deep Neural Networks

With the growing amount of astronomical data, there is an increasing need for automated data processing pipelines, which can extract scientific information from observation data without human interventions. A critical aspect of these pipelines is the image quality evaluation and masking algorithm, which evaluate image qualities based on various factors such as cloud coverage, sky brightness, scattering light from the optical system, point-spread-function size and shape, and read-out noise. Occasionally, the algorithm requires masking of areas severely affected by noise. However, the algorithm often necessitates significant human interventions, reducing data processing efficiency. In this study, we present a deep-learning-based image quality evaluation algorithm that uses an autoencoder to learn features of high quality astronomical images. The trained autoencoder enables automatic evaluation of image quality and masking of noise affected areas. We have evaluated the performance of our algorithm using two test cases: images with point spread functions of varying full width half magnitude, and images with complex backgrounds. In the first scenario, our algorithm could effectively identify variations of the point spread functions, which can provide valuable reference information for photometry. In the second scenario, our method could successfully mask regions affected by complex regions, which could significantly increase the photometry accuracy. Our algorithm can be employed to automatically evaluate image quality obtained by different sky surveying projects, further increasing the speed and robustness of data processing pipelines.

Seasonal variation in metabolic profiles and microbial communities in a subarctic ore processing plant.

The mining industry strives to reduce its water footprint by recycling water in ore processing. This leads to build-up of ions, flotation chemicals and microbial biomass, which may affect the process. The Boliden Kevitsa mine in Northern Finland is exposed to seasonal change and recycles up to 90% of the process water. We studied the variation in size, composition and putative functions of microbial communities in summer and winter in the ore processing plant. The raw water, Cu and Ni thickener overflow waters had statistically significantly higher bacterial numbers in winter compared to summer, and specific summer and winter communities were identified. Metagenomic analysis indicated that Cu and Hg resistance genes, sulphate/thiosulphate, molybdate, iron(III) and zinc ABC transporters, nitrate reduction, denitrification, thiosulphate oxidation and methylotrophy were more common in winter than in summer. Raw water drawn from the nearby river did not affect the microbial communities in the process samples, indicating that the microbial communities and metabolic capacities develop within the process over time in response to the conditions in the processing plant, water chemistry, used chemicals, ore properties and seasonal variation. We propose that the microbial community structures are unique to the Boliden Kevitsa mine and processing plant.