Miracle-dz/UniFAR-FTUs huggingface dataset:
Considerations for the Use of Wetland Wastewater Treatment by Mangroves in the State of Campeche

Two major environmental problems currently affecting the coastal zone of Campeche are loss of mangrove wetlands and surface water pollution. The application of treated wastewater to mangroves can be a means of dealing with both of these problems. The benefits of wetland wastewater treatment include improved surface water quality, increased accretion rates to balance sea level rise, improved plant productivity and habitat quality, and decreased costs for conventional engineering treatment systems. Wetland treatment systems can be designed and operated to restore deteriorating wetlands and maintain existing wetlands. Hydrologically altered wetlands are appropriate for receiving municipal and some types of industrial effluent. Wetland wastewater treatment has been shown to be effective in treating municipal effluent. Both artificial and natural wetlands have been used for treatment. Sea level is rising between 1 and 2 mm/yr and this rate is projected to increase over the next several decades. Effluent discharge to wetlands should be incorporated into comprehensive management plans designed to increase sediment and nutrient input into mangrove wetlands, improve water quality, and result in more economical waste treatment.
Modeling contaminant transport through composite liner with a hole in the geomembrane

Contaminant transport through a single hole in a geomembrane (GM) that forms part of composite liner with a geosynthetic clay liner (GCL) for applied heads (0.3 and 1 m) and an applied pressure of about 100 kPa is modeled and compared with experimental results. The system was first permeated with distilled water until a steady state was reached. The permeant was then switched to an NaCl solution. The inferred interface transmissivity at steady state (after 280 days) is about 2.3 × 10−11 m2/s for both heads examined. After 800 days permeation with an 0.14 mol/L NaCl solution, the interface transmissivity between the geomembrane and GCL was inferred to have decreased from 2.3 × 10−11 to 1.1 × 10−11 m2/s for experiments with heads of both 0.3 and 1 m. Modeling of the flow and changes in the GCL hydraulic conductivity arising from interaction between the bentonite and the 0.14 mol/L NaCl permeant is shown to give excellent agreement with the observed leakage. The differences between modeling a uniform and non.
The aureole of Olympus Mons, Mars

A large aureole of grooved terrain surrounds Olympus Mons, a Martian shield volcano. Curvilinear scarps which face away from and gentle interior slopes which face toward the volcano characterize this terrain. It is concentrated on the downslope side of Olympus Mons and rises as an uplift above the surrounding plain. Previous work attributed grooved terrain either to Olympus Mons volcanism, or to erosion of prior volcanoes in this area, or to magmatic crustal doming, unroofed by later erosion. These are not believed correct. The grooved terrain is probably large-scale gravity thrust sheets. The load of the Olympus Mons shield on a thick sequence of frozen bedded volcanic and aeolian type sediments caused thrusting. Movement was probably near the base of the Martian permafrost, where internal heat melted the ice, a process creating a natural zone of yield. Models of the situation may improve the present estimate of water in the Martian regolith.
Measuring Emergency Department Staff Perceptions of Causes and Management of Violence

BACKGROUND: Half of all reported violent incidents in health care settings occur in the emergency department (ED) placing all staff members at risk. However, research typically does not include all ED work groups or validated measures beyond nurses and physicians. OBJECTIVE: The aims of this study were to (a) validate an established instrument measuring perceptions of causes of violence and attitudes toward managing violence within an inclusive workforce sample; and (b) explore variation in perceptions, attitudes, and incidence of violence and safety to inform a violence prevention program. METHODS: This is an investigator-initiated single-site cross-sectional survey design assessing the psychometric properties of the Management of Aggression and Violence Attitude Scale (MAVAS) within a convenience sample (n = 134). Construct validity was assessed using exploratory factor analysis and reliability was evaluated by the Cronbach's α estimation. Descriptive, correlational, and inferential estimates explored differences in perceptions, attitudes, and incidence of violence and safety. RESULTS: Exploratory factor analysis indicated validity of the MAVAS with a seven-factor model. Its internal consistency was satisfactory overall (Cronbach's α= 0.87) and across all subscales (Cronbach's α values = 0.52–0.80). Significant variation in incidence of physical assault, perceptions of safety, and causes of violence was found between work groups. CONCLUSIONS: The MAVAS is a valid and reliable tool to measure ED staff members' perceptions of causes of violence and attitudes toward managing violence. In addition, it can inform training according to differences in work group learner needs.
Altered amygdalar emotion space in borderline personality disorder normalizes following dialectical behaviour therapy

Background: Borderline personality disorder (BPD) is a mental health condition characterized by an inability to regulate emotions or accurately process the emotional states of others. Previous neuroimaging studies using classical univariate analyses have tied such emotion dysregulation to aberrant activity levels in the amygdala of patients with BPD. However, multivariate analyses have not yet been used to investigate how representational spaces of emotion information may be systematically altered in patients with BPD. Methods: Patients with BPD performed an emotional face matching task while undergoing MRI before and after a 10-week inpatient program of dialectical behavioural therapy. Representational similarity analysis (RSA) was applied to activity patterns (evoked by angry, fearful, neutral and surprised faces) in the amygdala and temporo-occipital fusiform gyrus of patients with BPD and in the amygdala of healthy controls. Results: We recruited 15 patients with BPD (8 females, 6 males, 1 transgender male) to participate in the study, and we obtained a neuroimaging data set for 25 healthy controls for a comparative analysis. The RSA of the amygdala revealed a negative bias in the underlying affective space (in that activity patterns evoked by angry, fearful and neutral faces were more similar to each other than to patterns evoked by surprised faces), which normalized after therapy. This bias-to-normalization effect was present neither in activity patterns of the temporo-occipital fusiform gyrus of patients nor in amygdalar activity patterns of healthy controls. Limitations: Larger samples and additional questionnaires would help to better characterize the association between specific aspects of therapy and changes in the neural representational space. Conclusion: Our findings suggest a more refined role for the amygdala in the pathological processing of perceived emotions and may provide new diagnostic and prognostic imaging-based markers of emotion dysregulation and personality disorders. Clinical trial registration: DRKS00019821, German Clinical Trials Register (Deutsches Register Klinischer Studien).
Faba bean and pea harvest index estimations using aerial-based multimodal data and machine learning algorithms

Abstract Early and high-throughput estimations of the crop harvest index (HI) are essential for crop breeding and field management in precision agriculture; however, traditional methods for measuring HI are time-consuming and labor-intensive. The development of unmanned aerial vehicles (UAVs) with onboard sensors offers an alternative strategy for crop HI research. In this study, we explored the potential of using low-cost, UAV-based multimodal data for HI estimation using red–green–blue (RGB), multispectral (MS), and thermal infrared (TIR) sensors at 4 growth stages to estimate faba bean (Vicia faba L.) and pea (Pisum sativum L.) HI values within the framework of ensemble learning. The average estimates of RGB (faba bean: coefficient of determination [R2] = 0.49, normalized root-mean-square error [NRMSE] = 15.78%; pea: R2 = 0.46, NRMSE = 20.08%) and MS (faba bean: R2 = 0.50, NRMSE = 15.16%; pea: R2 = 0.46, NRMSE = 19.43%) were superior to those of TIR (faba bean: R2 = 0.37, NRMSE = 16.47%; pea: R2 = 0.38, NRMSE = 19.71%), and the fusion of multisensor data exhibited a higher estimation accuracy than those obtained using each sensor individually. Ensemble Bayesian model averaging provided the most accurate estimations (faba bean: R2 = 0.64, NRMSE = 13.76%; pea: R2 = 0.74, NRMSE = 15.20%) for whole growth stage, and the estimation accuracy improved with advancing growth stage. These results indicate that the combination of low-cost, UAV-based multimodal data and machine learning algorithms can be used to estimate crop HI reliably, therefore highlighting a promising strategy and providing valuable insights for high spatial precision in agriculture, which can help breeders make early and efficient decisions.
Ketamine for Traumatic Assault-Induced Depression: A Case Report

BACKGROUND: This case report describes the use of ketamine as a rapid, effective treatment of depression in a 68-year-old female patient with no significant medical history of psychiatric disorders. Patients who experience intentional or unintentional traumas are at an increased risk for developing depression or posttraumatic stress disorder, and emerging evidence has supported the use of ketamine as an alternative treatment of depression. CASE PRESENTATION: This is the case of a 68-year-old female patient who was assaulted, resulting in multiple stab wounds to both hands and the right upper quadrant. She underwent placement of a chest tube and surgical repair of the liver and was subsequently admitted to the intensive care unit. These events led to the development of severe depression symptoms, as evidenced by a Montgomery–Asberg Depression Rating Scale (MADRS) score of 37. As treatment of her acute depression, the patient received a single intravenous dose of ketamine (0.5 mg/kg) infused over 40 min and was monitored for side effects. The MADRS is a 10-item depression screening tool that assesses symptoms and changes over time. Within 4 hr of receiving ketamine, the patient reported a significant improvement in her mood and her MADRS score decreased to 16, classifying this patient as experiencing mild depression. The patient continued to improve, and 24 hr after receiving ketamine, her MADRS score was 4, indicating remission of her depression symptoms. CONCLUSION: This case report aims to provide an account of the potential benefits of ketamine as a rapid treatment of depression in an adult trauma patient.
Targeting myeloid checkpoint Siglec-10 reactivates antitumor immunity and improves anti-programmed cell death 1 efficacy in gastric cancer

Objective Immunotherapy has not yielded satisfactory therapeutic responses in gastric cancer (GC). However, targeting myeloid checkpoints holds promise for expanding the potential of immunotherapy. This study aims to evaluate the critical role of Siglec-10+ tumor-associated macrophages (TAMs) in regulating antitumor immunity and to explore the potential of the myeloid checkpoint Siglec-10 as an interventional target. Design Siglec-10+ TAMs were assessed based on immunohistochemistry on tumor microarrays and RNA-sequencing data. Flow cytometry, RNA sequencing, and single-cell RNA-sequencing analysis were employed to characterize the phenotypic and transcriptional features of Siglec-10+ TAMs and their impact on CD8+ T cell-mediated antitumor immunity. The effectiveness of Siglec-10 blockade, either alone or in combination with anti-programmed cell death 1 (PD-1), was evaluated using an ex vivo GC tumor fragment platform based on fresh tumor tissues. Results Siglec-10 was predominantly expressed on TAMs in GC, and associated with tumor progression. In Zhongshan Hospital cohort, Siglec-10+ TAMs predicted unfavorable prognosis (n=446, p<0.001) and resistance to adjuvant chemotherapy (n=331, p<0.001), which were further validated in exogenous cohorts. In the Samsung Medical Center cohort, Siglec-10+ TAMs demonstrated inferior response to pembrolizumab in GC (n=45, p=0.008). Furthermore, Siglec-10+ TAMs exhibited an immunosuppressive phenotype and hindered T cell-mediated antitumor immune response. Finally, blocking Siglec-10 reinvigorated the antitumor immune response and synergistically enhances anti-PD-1 immunotherapy in an ex vivo GC tumor fragment platform. Conclusions In GC, the myeloid checkpoint Siglec-10 contributes to the regulation of immunosuppressive property of TAMs and promotes the depletion of CD8+ T cells, ultimately facilitating immune evasion. Targeting Siglec-10 represents a potential strategy for immunotherapy in GC.
A pig model of chronic hepatitis E displaying persistent viremia and a downregulation of innate immune responses in the liver

Background: Hepatitis E virus (HEV) is a zoonotic virus transmitted by pig meat and responsible for chronic hepatitis E in immunocompromised patients. It has proved challenging to reproduce this disease in its natural reservoir. We therefore aimed to develop a pig model of chronic hepatitis E to improve the characterization of this disease. Methods: Ten pigs were treated with a tacrolimus-based regimen and intravenously inoculated with HEV. Tacrolimus trough concentration, HEV viremia, viral diversity, innate immune responses, liver histology, clinical disease and biochemical markers were monitored for 11 weeks post-infection (p.i.). Results: HEV viremia persisted for 11 weeks p.i. HEV RNA was detected in the liver, small intestine, and colon at necropsy. Histological analysis revealed liver inflammation and fibrosis. Several mutations selected in the HEV genome were associated with compartmentalization in the feces and intestinal tissues, consistent with the hypothesis of extrahepatic replication in the digestive tract. Antiviral responses were characterized by a downregulation of IFN pathways in the liver, despite an upregulation of RIG-I and ISGs in the blood and liver. Conclusions: We developed a pig model of chronic hepatitis E that reproduced the major hallmarks of this disease. This model revealed a compartmentalization of HEV genomes in the digestive tract and a downregulation of innate immune responses in the liver. These original features highlight the relevance of our model for studies of the pathogenesis of chronic hepatitis E and for validating future treatments.
Active lupus in Argentina: Results of a multicenter and national registry

Objective To evaluate the association between patients’ characteristics and disease activity in an Argentine lupus registry. Methods Cross-sectional study. Disease activity was stratified into: Remission off-treatment: SLEDAI = 0, without prednisone and immunosuppressive drugs. Low disease activity Toronto Cohort (LDA-TC): SLEDAI ≤2, without prednisone or immunosuppressive drugs. Modified lupus low disease activity (mLLDAS): SLEDAI score of ≤4, with no activity in major organ systems and no new features, prednisone of ≤10 mg/day and/or immunosuppressive drugs (maintenance dose) and Active disease: SLEDAI score of >4 and prednisone >10 mg/day and immunosuppressive drugs. A descriptive analysis and logistic regression model were performed. Results A total of 1346 patients were included. Of them, 1.6% achieved remission off steroids, 0.8% LDA-TC, 12.1% mLLDAS and the remaining 85.4% had active disease. Active disease was associated with younger age (p ≤ 0.001), a shorter time to diagnosis (p ≤ 0.001), higher frequency of hospitalizations (p ≤ 0.001), seizures (p = 0.022), serosal disease (p ≤ 0.001), nephritis (p ≤ 0.001), higher SDI (p ≤ 0.001), greater use of immunosuppressive therapies and higher doses of prednisone compared to those on mLLDAS. In the multivariable analysis, the variables associated with active disease were the presence of pleuritis (OR 2.1, 95% CI 1.2–3.9; p = 0.007), persistent proteinuria (OR 2.5, 95% CI 1.2–5.5; p ≤ 0.011), nephritis (OR 2.5, 95% CI 1.2–5.6; p = .018) and hospitalizations (OR 8.9, 95% CI 5.3–16.0; p ≤ 0.001) whereas age at entry into the registry was negatively associated with it (OR 0.9, 95% CI 0.9–1.0; p = 0.029). Conclusion Active disease was associated with shorter time to diagnosis, worse outcomes (SDI and hospitalizations) and renal, neurological and serosal disease.
Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data

Investigators have recently introduced powerful methods for population genetic inference that rely on supervised machine learning from simulated data. Despite their performance advantages, these methods can fail when the simulated training data does not adequately resemble data from the real world. Here, we show that this “simulation mis-specification” problem can be framed as a “domain adaptation” problem, where a model learned from one data distribution is applied to a dataset drawn from a different distribution. By applying an established domain-adaptation technique based on a gradient reversal layer (GRL), originally introduced for image classification, we show that the effects of simulation mis-specification can be substantially mitigated. We focus our analysis on two state-of-the-art deep-learning population genetic methods—SIA, which infers positive selection from features of the ancestral recombination graph (ARG), and ReLERNN, which infers recombination rates from genotype matrices. In the case of SIA, the domain adaptive framework also compensates for ARG inference error. Using the domain-adaptive SIA (dadaSIA) model, we estimate improved selection coefficients at selected loci in the 1000 Genomes CEU population. We anticipate that domain adaptation will prove to be widely applicable in the growing use of supervised machine learning in population genetics.
Effect of Extracerebral Contamination on Near-infrared Spectroscopy as Revealed during Organ Donation: A Prospective Observational Study in Brain-dead Organ Donors

Background: Near-infrared spectroscopy (NIRS) has been utilized widely in anesthesia and intensive care to monitor regional cerebral oxygen saturation (rScO2). A normal oxygenation of extracerebral tissues may overlay and thereby mask cerebral desaturations, a phenomenon known as extracerebral contamination. The authors investigated the effect of a cessation of extracerebral tissue perfusion on rScO2 in patients with anoxic brains. Methods: In a single-center, prospective, observational study, brain-dead adults undergoing organ donation were investigated. rScO2 was measured bifrontally using the INVOS 5100C/7100 as well as the ForeSight Elite system. To achieve an efficient conservation of organs and to prevent a redistribution of the perfusion fluid to other tissues, the aorta was clamped before organ perfusion. rScO2 was monitored until at least 40 min after aortic clamping. The primary outcome was the amount of extracerebral contamination as quantified by the absolute decrease in rScO2 after aortic clamping. Secondary outcomes were the absolute rScO2 values obtained before and after clamping. Results: Twelve organ donors were included. Aortic clamping resulted in a significantly (P < 0.001) greater absolute decrease in rScO2 when comparing the INVOS (43.0 ± 9.5%) to the ForeSight (27.8 ± 7.1%) monitor. Before aortic clamping, near-normal rScO2 values were obtained by the INVOS (63.8 ± 6.2%) and the ForeSight monitor (67.7 ± 6.5%). The rScO2 significantly (P < 0.001) dropped to 20.8 ± 7.8% (INVOS) and 39.9 ± 8.1% (ForeSight) 30 min after clamping, i.e., a condition of a desaturation of both extracerebral and cerebral tissues. Conclusions: The abrupt end of extracerebral contamination, caused by aortic clamping, affected both NIRS monitors to a considerable extent. Both the INVOS and the ForeSight monitor were unable to detect severe cerebral hypoxia or anoxia under conditions of normal extracerebral oxygenation. While both NIRS monitors may guide measures to optimize arterial oxygen supply to the head, they should not be used with the intention to detect isolated cerebral desaturations. Brain-dead patients (who have absent cerebral circulation) show surprisingly high cerebral oxygen saturation, which then drops when the aorta is clamped and extracerebral circulation ceases. These observations call into question the reliability of near-infrared spectroscopy in detecting isolated cerebral ischemia.
Development and characterisation of mgTHP-1, a novel in vitro model for neural macrophages with microglial characteristics

ABSTRACT Neuroinflammation is primarily characterised by activation of the brain’s resident macrophages – the microglia. However, other central nervous system (CNS) cells also contribute to this response, including the astrocytes and endothelial cells. In addition, there is infiltration into the CNS of peripherally derived immune cells. Together these cells mediate inflammation by the production of cytokines, chemokines, reactive oxygen species, and secondary messengers, and enacting of the appropriate response to those signals. However, deciphering the specific contributions of each cell type has been challenging. Studying CNS cell biology is often challenging, as the isolation of primary cells is not always feasible, and differentiation towards microglia-like cells is complex. Here, we demonstrate a novel method whereby THP-1 monocytic cells are differentiated into neural macrophage cells with microglia-like cell characteristics. The cells, designated mgTHP-1, show typical morphological and gene expression patterns of resident CNS macrophages and functionally respond to inflammatory stimuli by producing inflammatory cytokines. Furthermore, with the addition of Vicenin-2 (an anti-inflammatory flavonoid) such responses can be reversed. This novel cell model will allow further investigations, and hence insights, into the neuroinflammatory mechanisms associated with CNS diseases.
Glutamate and obesity – what is the link?

Purpose of review Many studies using metabolomics have tried to unravel the metabolic signature of obesity and understand the pathophysiology of this complex and heterogeneous disease. Circulating levels of the amino acid glutamate have been consistently associated with obesity and more specifically with measurements of abdominal fat accumulation. The purpose of this narrative review is to highlight recent studies documenting this association. Recent findings Circulating glutamate concentrations have been positively correlated with measurements of central fat accumulation such as waist circumference and visceral adipose tissue area. Moreover, elevated glutamate levels have been linked to a higher prevalence of type 2 diabetes, cardiovascular diseases and nonalcoholic fatty liver disease. The association with adiposity is detected in early life, and genetic predisposition does not appear as a major driver. Glutamate levels reflect in vivo synthesis rather than dietary intake. However, interventions generating metabolic improvements such as incretin receptor agonist treatment or dietary improvements may reduce plasma levels of this amino acid. Summary Recent findings confirm the consistent association between circulating glutamate and abdominal obesity and its cardiometabolic complications. The pathophysiological pathways underlying this phenomenon are still unclear. Furthermore, studies are needed to establish the usefulness of this analyte as a biomarker of abdominal obesity.