Abstracts: Soybean ( Glycine max L.), a vital widely grown grain and oilseed crop in northeastern China, often suffers yield and quality issues from sulfur deficiency due to continuous cropping and its high sulfur demand, resulting in reduced soil sulfur content. This study aimed to enhance soybean soil-available sulfur absorption by inoculating with a clumping arbuscular mycorrhizal fungus (AMF), specifically Funneliformis mosseae, to improve sulfur utilization in the soybean root system and alleviate sulfur deficiency in continuously cropped soybean. The experiment used the soybean variety “Heinong 48” as the test material, and involved four treatments in pots over three years, with soil inoculated with F. mosseae in both non-continuous and continuous cropping systems. Physiological indicators such as soybean mycorrhizal infestation rate, sulfur content, cysteine (Cys), glutathione (GSH), and β-thioglucoside levels were measured. Additionally, functional genes and differential metabolites involved in sulfur metabolism within cysteine and methionine metabolism pathways in soybean roots were analyzed using a combination of transcriptomics and metabolomics methods. The results demonstrated that inoculation with F. mosseae increased Cys, β-thioglucoside, GSH and sulphur contents in soybean roots. It enhanced the enrichment of the cysteine and methionine metabolism pathway and significantly up-regulated the expression of key regulatory genes, such as  ACO1 and  At5g53970, and the sulfur metabolite 5’-methylthioadenosine. Consequently, F. mosseae effectively regulates cysteine and methionine metabolism in soybean roots, promotes root sulfur uptake, and mitigates the sulfur deficiency barrier in continuous soybean cropping. Therefore, this study provides a theoretical basis for applying AMF microbial fungicidesin continuous soybean cropping production.

Rivers play a crucial role in connecting terrestrial and fluvial systems. Over the recent decades, the world’s rivers are exposed to unprecedented climatic and anthropogenic perturbations and are becoming significant sources of the atmospheric greenhouse gas (GHG) emissions. The cold temperate zones across the world, which are increasingly sensitive to temperature variations, experience notable changes in the riverine GHG emissions. However, until recently, there has been very little understanding of the GHG emissions where river system is interacted tundra forests. The GHG emissions emanating from the Changbai Mountain (CBM) area in the temperate China, are predominantly concentrated within the forest soil and tundra ecosystems. We investigated the GHG emissions from the Erdao River system in CBM using in situ gas flux monitoring technique at the water-gas interface at eight sampling sites between July and September (2022). The results indicate that GHG fluxes peaked in August, with CO 2 emissions in the CBM region were lower than in other cold-temperate areas (-1234.19~1073.60 mg·m −2·d −1) due to concentrated precipitation and high altitudinal gradients. CH 4 emissions are concentrated in nature reserves and floodplains, whereas rivers near urban areas at the foothills of CBM exhibit elevated N 2O emissions (2.49~3.31mg·m −2·d −1) because of urbanization. The heterogeneity in GHG emissions across the sites is correlated with water quality parameters, with temperature significantly affecting the N 2O emissions, which are the primary contributor to global warming potential (80.25%) in the river system. Organic matter sources in CBM river system are predominantly terrestrial, with a minor contribution from sea ice reservoirs. The intensified precipitation during the summer season increased the influx of terrestrial organic matter, thereby affecting GHG discharges. This study provides empirical evidence for precise quantification of GHG emissions in the cold temperate zone of China. Identifying emission patterns across various river systems in the CBM region, fills a significant gap in the existing literature. This studyestablishes a scientific framework essential for understanding and projecting carbon fluxes from fluvial systems in the temperate region.

A document by Ozdemir H. Click on the document to view its contents.

A document by Lanqin Chen. Click on the document to view its contents.

We developed a temperature-switchable intermolecular dearomative [5+1] spiroannulation and [5+2] cyclization of indoles with enynones, smoothly delivering a variety of spiroindolenines and dihydrocyclohepta[b]indolones under 40 oC and 80 oC, respectively. Moreover, a well-ordered three-step cascade was realized by using the OTBS or NHBoc contained enynones in the reaction with the indole under the identical condition, a novel kind of valuable highly-oriented three-dimensional indole-based tetracyclic scaffold was produced in good yields with excellent diastereoselectivities. Additionally, various spiroindolines and spirooxindoles were facilely produced via simple operations. This highly efficient and switchable domino reaction represents an emblematic method for the prep-aration of indole-based polycycles via the intermolecular pathway.

not-yet-known not-yet-known not-yet-known unknown A tandem Diels–Alder reaction / aza-Claisen rearrangement / decarboxylation strategy of N-allenamides with 3-alkoxycarbonyl-2-pyrones has been developed for the efficient synthesis of diarylmethanes with moderate to good yields. The reac-tion exhibits good functional group tolerance and can be applied to late-stage modifications of known drug molecules. Mechanistic studies indicate that the ester group at the 3-position of 2-pyrones is essential, and the initial Diels–Alder reaction between the 2-pyrones with the proximal C=C bond of the N-allenamides is crucial for the success of the reaction.

Maintenance therapy is critical for successful treatment of pediatric acute lymphoblastic leukemia (ALL). Chemotherapy dosing during maintenance is guided by the absolute neutrophil count, and may be influenced by the rs2814478 polymorphism causing Duffy-associated neutrophil counts (DANC). Breast cancer patients with DANC experience more neutropenia and reduced treatment intensity, despite not having increased infections. To illustrate the potential impact in pediatric ALL, we describe maintenance therapy for a child with DANC. This case raises the possibility that maintenance therapy may be inappropriately reduced in patients with DANC when using conventional guidelines, potentially contributing to disparities in outcomes.

not-yet-known not-yet-known not-yet-known unknown Emotional experiences involve dynamic multi-sensory perception, yet most EEG research uses unimodal stimuli such as photographs. However, a recent study found that realistic emotional videos reliably reduce the amplitude of a steady state visual evoked potential (ssVEP) elicited by a flickering border. It is unknown how the video-ssVEP measure compares to the well-established Late Positive Potential (LPP) that is reliably larger for emotional scenes. To address this question, 45 participants viewed 90 matched pairs of realistic videos and scenes. Replicating the previous study, emotional videos reduced ssVEP amplitude more than neutral videos. At the group level, the video-ssVEP and scene-LPP measures produced similarly large differences per category (pleasant, neutral, unpleasant), and both measures strongly correlated with arousal ratings. However, trial-based Bayesian multilevel models suggest that the group-level results mask important differences. Consistent with previous research, the scene-LPP was sensitive to specific emotional contents (erotica and gore) more than would be predicted by arousal ratings. In contrast, the video-ssVEP did not show this specific sensitivity, and was better explained by individual arousal ratings collected for each stimulus trial. These results suggest that the 2 measures index partially distinct aspects of emotional perception, with the LPP reflecting the discrimination of emotional features, while the ssVEP indexes emotional engagement. Taken together, the results suggest that a video-ssVEP paradigm has comparable single-trial reliability and may better reflect a more diverse range of experienced emotional states relative to scene-LPP paradigms.

not-yet-known not-yet-known not-yet-known unknown Aim/Purpose: This study aims to compare the efficacy of locally applied Titanium-Platelet Rich Fibrin (T-PRF) and Leukocyte-Platelet Rich Fibrin (L-PRF) in bone defect healing using micro-CT analysis and histopathological examination in rabbit models. Materials and Methods: Eight healthy male New Zealand rabbits, aged 4-6 months, were utilized. Circular bicortical defects (6 mm diameter) were created at three areas in each rabbit. One of the defects was chosen as the control group received saline solution, while T-PRF and L-PRF were applied to the defect sites in separate experimental groups. Bone regeneration was analyzed using high-resolution micro-CT and histological evaluation post-sacrifice. Statistical analysis assessed the significance of observed differences. Results: Micro-CT analysis revealed significant differences among the groups in bone volume, trabecular thickness, trabecular number, connectivity, and connectivity density (p<0.05). Both T-PRF and L-PRF groups exhibited superior bone parameters compared to controls, with L-PRF showing higher values. Trabecular separation and bone surface area to bone volume ratio did not differ significantly among the groups (p>0.05). Histological examination indicated advanced healing stages in the L-PRF group, suggesting both T-PRF and L-PRF contribute to bone regeneration, with L-PRF demonstrating better effects. Conclusion: The study concludes that while both T-PRF and L-PRF aid in bone regeneration, L-PRF shows superior efficacy. L-PRF is recommended for bone defect healing due to its better performance in enhancing bone parameters.

Background: Temporary transvenous pacing (TTP) is a common procedure, predominantly performed in the catheterization laboratory (cath lab) because of presumed lower complication rate. This study aims to evaluate the efficacy and safety of TTP placement in the ICU compared to TTP placement in the cath lab. Methods and results: This retrospective, real-life study included all patients requiring TTP in a tertiary care ICU between 2019 and 2022. Patients’ characteristics, TTP-related data, outcomes, and complications were compared between groups (ICU vs. cath lab). Data from 193 patients receiving TTP were analyzed; 68.4% received TTP in the ICU and 31.6% in the cath lab. The main indication was atrioventricular block in 154 patients (79.8%). The operator was less frequently an interventional cardiologist in the ICU (12.1%) compared to the cath lab (100%, p<0.001). TTP in the ICU was more frequently performed using a jugular access (72.0 vs. 1.6%), a right-sided laterality (88.7 vs. 43.6%), and a balloon-tipped catheter (100% vs. 0%, p<0.001 for all comparisons). Success was 100% in both groups. The overall complication rate was 16.6%, with no significant difference between both groups (14.4% ICU vs. 21.3% cath lab, p=0.13), but a tendency toward higher complications in the cath lab group (especially tamponade, lead displacement, and CIED infection). Conclusion: In a daily clinical scenario, TTP placement appears as safe in the ICU than in the cath lab, regardless of the operator’s level of expertise when performed in accordance with best practices. Nevertheless, TTP complications remain high and alternatives should be used whenever possible.

Measuring the efficiency of health services using Data Envelopment Analysis is a customary practice nowadays. In addition, some of the studies use analytical techniques to discover the variables that explain the efficiency level of such services. Nevertheless, efficiency analyses have seldom resulted in proposals to design organizational health care structures that provide adequate management for improving efficiency. Thus, to address the lack of use of Data Envelopment Analysis results in practice, this paper provides a general methodology based on the idea that measuring the efficiency of healthcare services must be complemented with their redesign to obtain potential efficiency improvements. This redesign includes healthcare processes or clinical flows, analytical techniques to advise such processes -e.g., OR/MS and AI models-, information technology for their support, and new management structures to facilitate the implementation and operation of the redesigns. Such methodology was applied to a large hospital specialized in cancer to illustrate its use and the results that can be achieved. They show that the potential cost savings of the proposed design are about US$ 1.0 million yearly. To generate such savings, the author designed new medical and management practices with the hospital personnel participation. The implementation of the practices and their continuous evaluation and innovation was possible by the new organizational structure designed for such purpose. This work shows the importance of integration methodologies to generate better-founded designs and facilitate their implementation. This integration is lacking in health-service design research, particularly in connection with architecture, processes, and organizational structure; this paper shows that this is a promising line of application. Highlights DEA analysis determines efficiency of health services and ways to improve it Scarce research on how to use DEA results to improve health processes exists A DEA-based methodology to design health and supporting flows is presented The methodology is applied to the design of the flows of a cancer hospital

A document by Amneet Sandhu. Click on the document to view its contents.

Genomic instability is a hallmark of cancer and may encourage the formation, heterogeneity, and spread of tumors. Several recent studies have shown that genes associated with genomic instability can aid in predicting the prognoses of patients with tumors. However, the gene screening methodology and the process of prognostic modeling are incomplete. We applied a quantitative integrated genomic instability framework to identify genes associated with genomic instability in The Cancer Genome Atlas glioma cohort. A comprehensive machine learning-based technique was used to create a genomic instability-related signature (GIRS). GIRS aided in predicting patient prognosis with greater accuracy and clinical benefits than classical clinical and molecular pathological features of gliomas. Compared with the 126 published models, GIRS had better predictive and generalization properties. In addition, GIRS reflects the degree of genomic instability and can be used as a new indicator of genomic instability. In addition, the GIRS can be used to recommend treatments for patients undergoing radiotherapy and chemotherapy to obtain the best therapeutic effects. We successfully identified genomic instability-related genes in gliomas and developed a GIRS risk model, a novel marker of genomic instability, to effectively predict the prognosis of patients with glioma.

Fish fauna biodiversity, abundance and distribution pattern are essential component needed for conservation and management strategies in any water body. The temporal variations of the fish assemblages in relation to maritime construction activities are poorly explored in Ghana. The association between the fish assemblage and construction activities were examined off the coast of Greater Accra, Ghana. A total of 37 and 14 species were identified prior and after the dumping activities at DSA dominated by S. dorsalis and B. auritus respectively. For the 27 and 24 species recorded before and after dredging activities at VNB, S. histrio and L. atlanticus & P. prayensis dominated respectively. SIMPER analysis revealed that S. micrurum, A. notacanthus and S. dorsalis were the most discriminating species at DSA while S. hoefleri and L. atlanticus discriminated most at VNB. Cluster analysis was used to temporally compare fish assemblage structures in sampling areas at both sampling sites (DSA and VNB). SimProf and ANOSIM analysis revealed that sampling location within the sites was not a major factor in changes in fish assemblages. Species richness and Shannon-Weaver index (H′) increased significantly after the dredging activities while at the dumping sites, species richness and Shannon-Weaver index decreased significantly after the dumping activities. Correspondence Analysis ordinations (CCA) revealed increase in herbivorous and benthic invertebrate feeders after the dredging activities while vermivorous and euryphagus feeders were proportionally high after the dredging activities. The driving factor influencing the temporal variation in fish assemblage structure at both sites is probably related to the dredging and dumping activities which affects the trophic guild of the species.

This report describes the identification of C7-T1 discospondylitis on myelography and confirmed on postmortem computed tomography and necropsy in a 4-year-old Standardbred gelding as the consequence of jugular vein catheterization and secondary septic thrombophlebitis. Staphylococcus aureus was isolated from both sites. Diagnosis was complicated by non-specific signs of pain and the acute presentation of the gelding. Clinical signs included cervical pain, low head carriage, fever, and ataxia. Antimicrobial therapy and multimodal pain management were initiated but were unsuccessful. Spread of infection from septic thrombophlebitis has uncommonly been reported in horses, and this is the first reported case of secondary discospondylitis in this species.

Participatory science (or ”citizen science”) records are becoming increasingly useful for wildlife monitoring due to their volume and spatiotemporal coverage. However, statistical analysis using these data can be challenging due to the many sources of bias that need to be corrected. Many previous studies characterize sampling biases across entire participatory science datasets, such as spatial heterogeneity in sampling effort or species preferences. User-level heterogeneity in sampling behavior is less well studied, but it may be just as important as dataset-level bias in contributing to error in downstream analyses. Here, we investigate user-level novelty and specialization bias. Novelty bias occurs when an individual observer preferentially reports species that have not seen before, while specialization bias occurs when an observer preferentially reports species they have previously observed (i.e., they specialize in particular species). We provide the first test of this kind of user-level sampling bias in participatory science data by analyzing the sampling histories of more than 540 observers on the popular participatory science platform iNaturalist in Pennsylvania, USA. We find evidence of specialization or novelty bias in the overall sampling behavior of 66% of the observers considered. Specialization bias was more than 5 times more common than novelty bias, indicating that observers reported species they had reported previously at a higher rate than expected. Looking within taxonomic groups, 41% of observers deviated from unbiased sampling. Novelty bias and specialization bias were both common within taxa. These findings suggest that iNaturalist observers often specialize in favorite taxa or species, while within taxa some users simultaneously seek out previously unobserved species.

Chinese hamster ovary cells (CHO) are the main cell line used for mass production of recombinant therapeutic proteins (RTPs), especially recombinant therapeutic antibodies (RTAs). In order to increase the yield and quality of RTPs produced by CHO cells, it is essential to optimize the production process and scale of CHO cells. Perfusion culture is an important process for mammalian cell culture that has emerged in recent years. It offers several advantages, including increased levels of protein expression, reduced risk of bacterial infection, simplified downstream processing, lower production costs, support for industrial production, and improved understanding of cell metabolism. It can increase the yield of antibodies and improve four key quality attributes. This review introduces the culture process of CHO cell expressed antibody and the effect of perfusion culture process on the yield and quality of antibody expression.

Background At present, there is a lack of established treatment protocols for recurrent medulloblastoma. The assessment of recurrence risk prior to treatment is of utmost importance in determining the most suitable treatment modality and intensity for medulloblastoma. Consequently, the creation of a predictive model for medulloblastoma recurrence is imperative in aiding clinical decision-making. Methods A retrospective analysis was conducted on the clinical data of 273 patients diagnosed with medulloblastoma. The neutrophil-to-lymphocyte ratio (NLR) was calculated prior to radiotherapy, and various clinical characteristics including age, gender, molecular subtype, dissemination, and residual lesions after resection were collected. Survival analysis was performed utilizing the Kaplan-Meier method, while Cox regression models were employed to identify independent prognostic factors. Furthermore, a column chart illustrating all independent prognostic factors was generated using R software. The nomogram’s prognostic predictive ability was evaluated using the concordance index (C-index), area under the curve (AUC), and calibration curve. Results The median progression-free survival (PFS) for the entire cohort was determined to be 63.8 months. Univariate and multivariate Cox regression analyses were conducted to identify independent prognostic factors that are associated with PFS in patients diagnosed with medulloblastoma. These factors include age, residual tumor volume exceeding 1.5cm 3, NLR exceeding 4.5, dissemination occurring prior to radiotherapy, and molecular subtype classified as group 3. These identified factors were then utilized to construct a column chart. The nomogram C-index for the predicted PFS in the training and validation cohorts was 0.749 and 0.736, respectively. The AUC for predicting the three-year PFS exhibited satisfactory accuracy in the validation cohort (AUC=0.71). Furthermore, the calibration curve indicated a strong concordance between the predicted and ideal values. Additionally, the Kaplan-Meier curve, based on PFS, demonstrated a statistically significant distinction between the low-risk and high-risk groups as predicted by the nomogram (P＜0.001). Conclusion Our study revealed that the NLR prior to treatment serves as an autonomous prognostic determinant for the recurrence or metastasis of medulloblastoma subsequent to treatment. When integrated with NLR and clinical variables, the utilization of a nomogram demonstrates the capability to anticipate PFS following radiotherapy in medulloblastoma patients. This nomogram exhibits potential in facilitating more accurate risk stratification, thereby guiding the implementation of personalized treatment strategies for individuals with medulloblastoma.

The growing reliance on AI-generated content across various industries necessitates robust methods for controlling the outputs of language models to ensure quality, relevance, and adherence to ethical guidelines. Introducing a novel gametheoretic framework, this research establishes a structured approach to controllable text generation, enabling strategic manipulation of language model outputs through adaptive prompt interventions. The study employed the Mistral language model, utilizing concepts of Nash equilibrium and feedback loops to dynamically adjust prompt strategies, optimizing the balance between content alignment, diversity, and coherence. Experimental results demonstrated that different prompt strategies distinctly influenced the generated text, with direct prompts enhancing relevance and interrogative prompts promoting creative expression. Case studies further illustrated the practical applications of the framework, showcasing its adaptability across various text generation tasks. The comparative analysis against traditional control methods highlighted the superiority of the game-theoretic approach in achieving high-quality, controlled outputs. These findings demonstrate the framework's potential to enhance AIdriven content generation, offering significant implications for human-AI collaboration, automated content creation, and the ethical deployment of AI technologies.

Due to the combined effects of human activities and climate change, freshwater wetlands, especially in agricultural watersheds, face severe degradation threats. Therefore, it is necessary to explore in depth the changes in plant communities within these wetlands. This study investigates changes in wetland plant communities within these watersheds and assesses the feasibility of the Breaks for Additive Season and Trend (BFAST) method for detecting abrupt shifts in vegetation over long time series. Using long-term Landsat imagery (1984-2016), annual maximum NDVI values were calculated for the Naolihe Basin Nature Reserve in Northeast China. The BFAST algorithm was then applied to detect NDVI changes in wetland plant communities, with results validated through field surveys. The results revealed four distinct NDVI change trends: no significant change, high-to-low shift, low-to-high shift, and continuous decline. NDVI deviations ranged from -0.85 to 0.94, with 1 to 5 abrupt changes mainly occurring between 1993 and 2006. The study confirms BFAST’s effectiveness in detecting changes in wetland plant communities and, combined with field data, proposes a conceptual model to explain the degradation processes in freshwater wetlands. The model reveals the degradation process of different vegetation types under the influence of water competition and other factors, which contributes to a more accurate understanding of vegetation change in freshwater wetlands and provides strong support for its sustainable conservation and management.

Geographic barriers and geological historical events may play pivotal roles in driving allopatric divergence among closely related species. Here, we investigate the genomic divergence patterns and ecological niche differentiations of the Willow Tit Poecile montanus and Marsh Tit P. palustris species groups in China, and their ecological niche separation across East Asia. Through comprehensive genomic sequencing, population genomic analysis, and integration of public occurrence data, we unveil striking parallels in the geographic divergence patterns between these two species groups. Notably, both species exhibit multiple deeply divergent lineages in China, with similar spatial distributions of gene flow barriers. Furthermore, our analysis reveals unique evolutionary histories in the southwestern clades of both species groups, highlighting the intricate interplay between historical distribution dynamics, ecological preferences, and genetic divergence. Our study significantly enhances our understanding of the processes underlying the diversification of closely related widespread species within the framework of shared geographical constraints, and stresses the need for a taxonomic revision.

Biodiversity resilience relies on genetic diversity, which sustains the persistence and evolutionary potential of organisms in dynamic ecosystems. Genomics is a powerful tool for estimating genome-wide genetic diversity, offering precise and accurate estimates of the status and trajectory of genetic diversity within species and populations. However, the widespread integration of genomic information into biodiversity conservation and management efforts faces challenges due to a lack of standardised genome-wide data generation methods and applications. The heterogeneity of approaches can make it difficult to consistently interpret the results and clearly communicate key information to stakeholders such as practitioners and decision-makers. To begin to address these challenges, the European Reference Genome Atlas (ERGA) promotes the standardisation of methodologies for high-quality reference genome sequencing and analysis as part of the global network of the Earth BioGenome Project. ERGA is also proactively developing best practices to engage stakeholders in biodiversity genomics research, starting with examining case studies and conducting mapping efforts to familiarise researchers with pathways to effective engagement. An emerging theme is the researchers’ experience of variable perceptions amongst stakeholders of the value and utility of reference genomes and genomics data in biodiversity conservation and management. Addressing this issue calls for consensus on standardised genome-wide data generation methods and applications that will help to deliver the highest standards for accuracy, interpretability, and comparability. We believe converging on consensus methods standardisation is essential for fostering the stakeholder trust and confidence required to successfully promote widespread adoption of genome-wide genetic diversity assessments in biodiversity conservation and management.

not-yet-known not-yet-known not-yet-known unknown In recent years, Large Models (LMs) have been rapidly developed, including large language models, visual foundation models, and multimodal LMs. They are updated and iterated at a very fast pace. These LMs can accomplish many tasks, e.g., daily work assistant, intelligent customer service, and intelligent factory scheduling. Their development has contributed to various industries in human society. However, the architectural flaws of LMs lead to several problems, including illusions and difficulty in locating errors, limiting their performance. Solving these problems properly can facilitate their further development. This work first introduces the development of LMs and identifies their current problems, including data and energy consumption, catastrophic forgetting, reasoning ability, and localization fault. Then, potential solutions to these problems are provided. Finally, LMs’ applications in autonomous driving technologies and smart industrial productions are discussed. By embracing the advantages of LMs, many industries are expected to achieve promising prospects in the future.

Based on previous studies, selenium may have a knack for helping prevent viral infections, featuring influenza viruses, hepatitis B virus, and coronal viruses. The intention of the current investigation was to ascertain whether there is a link between blood selenium levels and herpes simplex virus considering the relationship between selenium and herpes simplex virus (HSV) remains unknown. Between 2011 and 2016, data was gathered from the National Health and Nutrition Examination Survey (NHANES). Applying univariate and multivariate logistic regression analysis in tandem with propensity score matching (PSM), correlations between blood selenium levels and HSV prevalence were evaluated. An overall of 5656 individuals were incorporated in the final analysis. 3397 (60.06%) and 1014 (17.93%) of the samples tested positive for HSV-1 and HSV-2 ahead of to PSM. The results of univariate logistic regression (OR=0.68 and 0.57, p<0.001) and multivariate logistic regression (OR= 0.65 and 0.55, p<0.001), which adjusted for variables with p<0.05 in the univariate regression, showed a negative correlation between blood selenium levels and HSV-1 and HSV-2 infections.The HSV-1 and HSV-2 groups had considerably lower blood selenium levels than the non-HSV-infected group (p<0.001). An elevated risk of HSV-1 and HSV-2 infection was significantly inversely linked with a lower blood selenium level.