Analysis Of Combined Data Research Articles

Nano urea’s environmental edge and economic efficacy in boosting wheat grain yield across diverse Indian agro-climates

The gradual increase in the consumption of mineral nitrogen is leading to heightened levels of harmful air pollutants, particularly N2O emissions from the agriculture sector. A potential solution to address the issues arising from the excessive use of urea in wheat is the substitution of conventional urea with nano urea. This study aimed to quantify the effects of nano urea, both independently and in conjunction with prilled urea, under various agroclimatic and sowing conditions in India. To achieve this objective, a multi-location field experiment on nano and prilled urea was conducted under irrigated conditions across 21 locations with 13 different treatments during the agricultural seasons of 2021–2022 and 2022–2023. The experiments followed a randomized block design with three replications, covering diverse agro-climatic regions of India. Analysis of combined data from multiple years and locations revealed that applying the recommended dose of nitrogen (RDN), i.e., 150 kg/ha in NWPZ (North western plains zone) and NEPZ (North eastern plains zone), and 120 kg/ha in CZ (Central zone) and PZ (Peninsular zone), along with two sprays of nano urea, resulted in a significant increase in grain yield 7.6%, 8.0%, 5.5%, and 9.1% in NWPZ, NEPZ, CZ, and PZ, respectively, compared to RDN alone. Notably, using 75% RDN along with either two sprays of nano urea or 5% urea showed a non-significant (P ≥ 0.05) difference in grain yield compared to the full RDN. From the perspective of higher net benefits, the combination of RDN and two sprays of 5% urea emerged as the most favourable option. On the other hand, considering the higher marginal rate of return (MRR), the combination of 75% RDN and two sprays of 5% urea proved to be more advantageous for farmers across the zones. In conclusion, environmentally friendly practices such as two sprays of nano urea or 5% urea combined with 75% RDN present promising alternatives for Indian farmers seeking to enhance wheat grain yield. Thus, this practice can save 25% of nitrogen (1.02 billion kg) which can reduce 5.06 billion kg CO2 equivalent emissions annually over recommended practice and can play a significant role in achieving the goal of net zero emissions by 2070 in India.

Relationship between plasma urea and copeptin in response to arginine stimulation in healthy adults, patients with vasopressin deficiency and primary polydipsia

BackgroundArginine infusion stimulates copeptin secretion, a surrogate marker of arginine vasopressin (AVP), thereby serving as a diagnostic test in the differential diagnosis of suspected AVP deficiency (AVP-D). Yet, the precise mechanism underlying the stimulatory effect of arginine on the vasopressinergic system remains elusive. Arginine plays a significant role in the urea cycle and increases the production of urea. An increase in plasma urea concentration raises blood osmolality, thereby possibly stimulating AVP release. We therefore hypothesized that the stimulatory effect of arginine on AVP may involve an increase in plasma urea levels.MethodsThis analysis combined data from two prospective diagnostic studies. In total, 30 healthy adults (HA), 69 patients with AVP-D, and 89 patients with primary polydipsia (PP) underwent the arginine stimulation test. Infusion of arginine (L-­arginine­-hydrochloride 21%) at a dose of 0.5 g/kg body weight diluted in 500 mL of 0.9% normal saline was administered over 30 min. Blood was collected at baseline and 60, 90, and 120 min to analyze plasma copeptin and urea. The main objective was to investigate urea dynamics in response to arginine administration and its effect on copeptin release.ResultsPlasma urea levels at baseline were comparable and increased 60 min after arginine infusion with a median (IQR) change of + 1.1 mmol/L (+ 0.8, + 1.5) in HA, + 1.4 mmol/L (+ 1.1, + 1.7) in patients with AVP-D and + 1.3 mmol/L (+ 0.9, + 1.5) in patients with PP. Concurrently, plasma copeptin levels substantially increased 60 min from baseline in HA (median change + 5.3 pmol/L (+ 3.2, + 8.8)) and in patients with PP (median change + 2.4 pmol/L (+ 1.2, + 3.8)), but remained stable in patients with AVP-D (median change + 0.3 pmol/L (+ 0.1, + 0.6)). Plasma urea and copeptin levels correlated the most in HA, with a Spearman’s rho of 0.41 at baseline. Patients with AVP-D and PP showed only weak correlations of plasma urea and copeptin, with a correlation coefficient between 0.01 and 0.28.ConclusionWe demonstrate a slight increase in plasma urea levels in response to arginine, but plasma urea and copeptin levels were weakly correlated. Based on these findings, the stimulatory effect of arginine on AVP cannot be explained primarily by increasing urea levels.

Suction tube uterine tamponade versus uterine balloon tamponade for treatment of refractory postpartum hemorrhage: A randomized clinical feasibility trial.

To compare low-cost "Suction Tube Uterine Tamponade" (STUT) treatment for refractory postpartum hemorrhage (PPH) with uterine balloon tamponade (UBT) using a randomized feasibility study. After verbal assent, we allocated participants with refractory PPH by randomly ordered envelopes to STUT or routine UBT at 10 hospitals in South Africa and one tertiary referral center in Colombia between January 10, 2020, and May 3, 2024. In the STUT group, we inserted a 24 FG Levin stomach tube into the uterine cavity and applied suction. The control group received standard UBT, mainly the Elavi free-flow balloon or the Bakri fixed volume balloon. There were fundamental differences between the South African and the Colombian sites, so the pre-specified analysis combined data from the two countries by meta-analysis. We enrolled 59 participants. The rate of the primary outcome (blood loss >1000 mL or laparotomy or death) was 8/27 (30%) in the STUT group versus 14/27 (52%) in the UBT group (risk ratio [RR] 0.56, 95% confidence interval [CI] 0.30-1.05, P = 0.07). Per protocol analysis was 7/26 (27%) versus 15/28 (54%) (RR 0.49, 95% CI 0.25-0.96, P = 0.04). Reporting severe pain during the procedures was less frequent in the STUT group (RR 0.46, 95% CI 0.25-0.86, P = 0.01). Most secondary outcomes favored the STUT group, with low certainty. STUT was experienced as less painful than UBT. Results were consistent with reported observational findings and one other randomized trial evidence of greater effectiveness for suction than balloon tamponade.

DNA methylation regulates somatic stress memory and mediates plasticity during acclimation to repeated sulfide stress in Urechis unicinctus.

Stress memory is an adaptive mechanism that enables organisms to develop resilience in response to environmental changes. Among them, somatic stress memory is an important means for organisms to cope with contemporary repeated stress, and is accompanied by transcription memory. Sulfide is a common environmental pollutant; however, some organisms have adapted to survive in sulfur-rich environments. Urechis unicinctus is a sulfur-tolerant organism that enhances sulfide stress tolerance by establishing a somatic sulfide stress memory mechanism. However, the molecular mechanisms that regulate sulfide stress memory remain unclear. To explore whether epigenetics, which plays a role in the response of organisms to environmental stress, is involved in regulating somatic sulfide stress memory, we performed a combined analysis of DNA methylation and transcriptome data. We found that elevated levels of DNA methylation under repetitive sulfide stress regulated gene expression and resulted in enhanced sulfide stress tolerance in U. unicinctus, a phenomenon verified using DNA methylase inhibitors. Transcriptional memory can be induced in genes related to oxidative stress, regulation of autophagy, and maintenance of protein homeostasis by altering the level of DNA methylation to facilitate sulfide stress acclimation. Our results provide new insights into adaptive mechanisms to cope with environmental fluctuations.

Comprehensive analysis of DNA methylation and gene expression to identify tumor suppressor genes reactivated by MLN4924 in acute myeloid leukemia.

This study investigated whether the neddylation inhibitor MLN4924 induces aberrant DNA methylation patterns in acute myeloid leukemia and contributes to the reactivation of tumor suppressor genes. DNA methylation profiles of Kasumi-1 and KU812 acute myeloid leukemia cell lines before and after MLN4924 treatment were generated using the 850K Methylation BeadChip. RNA sequencing was used to obtain transcriptomic profiles of Kasumi-1 cells. Target genes were identified through a combined analysis of methylation and transcriptome data. Methylation-specific PCR and quantitative PCR validated the changes in methylation and expression. Prognostic analysis of target genes was performed using databases, and Pearson correlation was used to examine the relationship between methylation and expression levels. In Kasumi-1 and KU812 cells, 301 and 469 differentially methylated sites, respectively, were identified. A total of 4310 differential expression genes were detected in Kasumi-1. Combined analysis revealed that TRIM58 exhibited significant demethylation and upregulation after MLN4924 treatment, as confirmed by quantitative and methylation-specific PCR. Furthermore, database analysis revealed that both down-expression and promoter hypermethylation of TRIM58 were correlated with poor prognosis in acute myeloid leukemia. A negative correlation was observed between TRIM58 methylation and expression levels. This study suggests that MLN4924 alters DNA methylation patterns in acute myeloid leukemia and reactivates TRIM58, a potential tumor suppressor gene, through demethylation.

Pseudocercospora fengxinensis, a new species causing sooty spot of kiwifruit in China.

Pseudocercospora is a large cosmopolitan genus of plant pathogenic fungi that are commonly associated with leaf and fruit spots as well as blights on a wide range of plant hosts. P. actinidiae is a member of this genus, causing sooty spot on kiwifruit worldwide. With the expansion of kiwifruit cultivation, the incidence of sooty spot has become severe in Fengxin County, Jiangxi Province, China. Based on a survey conducted in 2022 across nine kiwifruit cultivars in six local orchards, the results showed that the disease incidence was higher in 'Donghong', 'Jinyan', 'Jinkui', 'Fenghuang No. 1' and 'Jinguo'. In contrast, it was lower in 'Gold3' and 'Hongshi No. 2'. No lesions were observed on 'Kuilv' and 'Miliang No. 1'. 31 fungal strains were isolated from infected leaves using single-spore isolation. Phylogenetic analysis of combined sequence data from the internal transcribed spacer region of ribosomal DNA (ITS), partial actin (actA), translation elongation factor 1-alpha (tef1), and the second largest subunit of RNA polymerase II (rpb2) sequence data, using maximum-likelihood (ML) and Bayesian inference (BI), revealed their taxonomic placement within Pseudocercospora. Both morphological and molecular phylogenetic analysis supported Pseudocercospora fengxinensis as a new taxon within Pseudocercospora. Pathogenicity tests confirmed P. fengxinensis as the causal agent of sooty spot on kiwifruit. This study is the first report of P. fengxinensis causing sooty spot of kiwifruit worldwide, enriching our understanding of Pseudocercospora diversity in China and providing a foundation for improved disease management strategies.

Racial differences in diuretic therapy, B-type natriuretic peptide values, and prognosis in acute heart failure.

Whether variability of B-type natriuretic peptide (BNP) values between races affects its clinical integration as a marker for congestion and predictor of prognosis in acute heart failure (AHF) remains unknown. We aimed to investigate the relationship between diuretic therapy, change in BNP value, and prognosis in AHF in relation to racial differences. This analysis combined data from the AKINESIS and REALITY-AHF studies. We included White, Black, and Asian individuals admitted with AHF requiring intravenous diuretic therapy. We examined the relative change in BNP values at 48 h post hospital admission, and its association with diuretic therapy and one-year mortality. Of 1380 participants, 29 % were White, 12 % were Black, and 58 % were Asian. Admission BNP values were highest in Black, followed by Asian and White individuals. After adjusting for confounding factors, Black individuals had significantly higher admission BNP values compared to White individuals. During the first 48 h of hospitalization, Asian individuals received the lowest diuretic dose but demonstrated the greatest diuretic response and BNP decrease. After adjustment for confounding factors, Asian individuals were more likely to have a BNP decrease compared to White individuals. Higher admission BNP values predicted higher one-year mortality in White and Asian but not in Black individuals (p for interaction = 0.021). BNP decrease was associated with a lower one-year mortality without a significant interaction by race. In AHF patients, admission BNP was higher in Black, and its decrease after diuretic therapy was greater in Asian individuals. A BNP decrease predicted a better prognosis, regardless of race.

The Investigation of the Relationship Between Individual Pain Perception, Brain Electrical Activity, and Facial Expression Based on Combined EEG and Facial EMG Analysis.

Pain is a multidimensional, unpleasant emotional and sensory experience, and accurately assessing its intensity is crucial for effective management. However, individuals with cognitive impairments or language deficits may struggle to accurately report their pain. EEG provides insight into the neurological aspects of pain, while facial EMG captures the sensory and peripheral muscle responses. Our objective is to explore the relationship between individual pain perception, brain activity, and facial expressions through a combined analysis of EEG and facial EMG, aiming to provide an objective and multidimensional approach to pain assessment. We investigated pain perception in response to electrical stimulation of the middle finger in 26healthy subjects. The 32-channel EEG and 3-channel facial EMG signals were simultaneously recorded during a pain rating task. Group difference and correlation analysis were employed to investigate the relationship between individual pain perception, EEG, and facial EMG. The general linear model (GLM) was used for multidimensional pain assessment. The EEG analysis revealed that painful stimuli induced N2-P2 complex waveforms and gamma oscillations, with substantial variability in response to different stimuli. The facial EMG signals also demonstrated significant differences and variability correlated with subjective pain ratings. A combined analysis of EEG and facial EMG data using a general linear model indicated that both N2-P2 complex waveforms and the zygomatic muscle responses significantly contributed to pain assessment. Facial EMG signals provide pain descriptions which are not sufficiently captured by EEG signals, and integrating both signals offers a more comprehensive understanding of pain perception. Our study underscores the potential of multimodal neurophysiological measurements in pain perception, offering a more comprehensive framework for evaluating pain.

Comparative analysis of natural disasters in the Mexican Pacific: The case of hurricane Otis and its socioeconomic impact on Acapulco

The article analyzed the impact of Hurricane Otis on the tourist infrastructure of Acapulco, a key part of Guerrero's economy. Through an interpretative approach and comparison with previous events like Pauline (1997) and Ingrid-Manuel (2013), it identified factors contributing to the vulnerability of the tourism sector to extreme weather events. The mixed methodology combined literature review, data analysis, and institutional response, revealing that 80% of hotel infrastructure was severely affected. Although recovery phases were implemented, risk communication was insufficient, exacerbating the disaster’s impact. The study concludes that improving risk management, communication, and promoting policies that ensure resilient economic recovery are essential to mitigate future disasters.

Prediction of late-onset preeclampsia using plasma proteomics: a longitudinal multi-cohort study

Preeclampsia is a pregnancy disorder with substantial perinatal and maternal morbidity and mortality. Pregnant women at risk of preeclampsia would benefit from early detection for follow-up, timely interventions and delivery. Several attempts have been made to identify protein biomarkers of preeclampsia, but findings vary with demographics, clinical characteristics, and time of sampling. In the current study, we combined three independent longitudinal pregnancy cohorts (Detroit, Stanford and Oslo) resulting in 124 late-onset preeclampsia (LOPE) cases and 178 gestational age matched controls, and analyzed > 1000 proteins in maternal plasma sampled between 12 and 34 weeks of gestation. Differential abundance analysis of combined protein data revealed increased deviation in protein abundance trajectories throughout gestation in women destined to develop LOPE compared to controls. There were no differentially abundant proteins at time interval T1 (12–19 weeks), yet 31 differentially abundant proteins were found at time interval T2 (19–27 weeks), and 48 proteins at time interval T3 (27- 34 weeks). Multi-protein random forest models assessed via cross-validation predicted LOPE with an area under the ROC curve of 0.72 (0.65–0.78), 0.76 (0.71–0.81) and 0.80 (0.75–0.85) at time interval T1, T2 and T3, respectively. The results at T3 were confirmed using a leave-one-cohort-out analysis suggesting cross-cohort consistency, and at T1 and T2 when the largest two cohorts were used as training sets.

Technology for geostructural forecasting of gold ore occurrences using the example of a section of the Verkhoyansk-Kolyma fold system (Bayag ore field, Yakutia)

Relevance. Additional exploration of Bayag gold-ore deposit (Republic of Sakha, Yakutia), requiring the localization of targets predicted for gold-sulphide occurrences of endogenous (hydrothermal) nature. Aim. Further approbation and finalizing of representative technology for interpretation of aeromagnetic survey results, using domestic unmanned aerial vehicle technology. In the context of the mentioned geological object and research goals, the research methods include the combined analysis of remote-sensing, geomorphological and aeromagnetic data based on the methods of qualitative and quantitative interpretations, which are invariant with regard to the kind of initial signal, as well as it is based on the direct and indirect forecast parameters. Used in this research interpretation methods are not dependent on the nature of initial scalar field, being measured instrumentally, and include relatively automated approaches for decoding the morphostructure of this field, its filtration and consideration of the relationship in the set of such fields of different genesis. The direct forecast parameters are supposed to be the extrapolation of reference sample within the experimental area. Indirect forecast criteria are related to pattern recognition without training and, besides the well-known classifications, they include the recalculations into quasi-elastic indicators of mining block – fragmentation parameter and stress concentrator position parameter. Results. Reduced to justifying the applicability of the method, tested by the authors, for extrapolation of quasi-periodic reference sample within the experimental area, based on pattern recognition with training and subsequent verification by geochemical estimation. The content of the conclusions is: 1) optimization of mapped target contours localized within ore-controlling tectonic zones; 2) possibility of applying predictive use of the property of quasi-periodic manifestation of structural-substantial anomalies as special case of wave structuring of the mining massif.

Excess Relative Risk of Mortality from Diseases of the Circulation System after Irradiation. Report 2. Combined Data Analysis for Nuclear Workers

In the second part of the review on estimates of excess relative risks (ERR) per 1 Gy/Sv for mortality from diseases of the circulatory system (ICD-9: 390–459; ICD-10: I00–I99) after irradiation, a combined analysis and meta-analysis was carried out for nuclear industry workers of various countries. The completeness of the sample at the end of 2021 appeared to be exhaustive. The combined analysis of the data consisted in assessing the average for the sample after eliminating outliers from it; ERR per 1 Gy/Sv was 0.20 (95% CI: 0.11; 0.30). The meta-analysis was performed on the full sample, without removing outliers. Some heterogeneity was identified, so a Random effect model was used for the meta-analysis, and the ERR per 1 Gy/Sv was 0.11 (95% CI: 0.01; 0.22). The mean value of ERR per 1 Gy/Sv obtained here only for nuclear industry workers, as well as the result of the meta-analysis, did not differ much from the data of M.P. Little and co-workers (2010–2016) for heterogeneous samples from different populations. At the same time, the data for ‘Mayak’ PA on mortality from circulatory pathologies in general, and not for their individual types, indicate lower risks for external exposure (Azizova TV et al., 2018): ERR per 1 Gy/Sv was 0.04 (95% CI: –0.00; 0.09). All listed risks from the point of view of classical epidemiology, when using the common Monson scale for relative risks (RR), should be considered either ignorable (RR = = 1.0–1.2) or weak (RR = 1.2–1.5). An estimation of the absolute risk of mortality from circulatory pathologies for a hypothetical group of 100,000 nuclear workers who each accumulated a dose of 1 Gy, based on data on the baseline mortality of men from these pathologies for the United States, showed an increase of 1400 deaths over 20 years of employment. However, recalculation for the real average dose accumulated by workers in different countries (31.1 mSv; Koterov A.N. et al., 2021) revealed an insignificant increase in mortality at 0.6% of the baseline level, which risk cannot be taken into account for such multifactorial pathologies. The results obtained in the second part of the presented study: a) reinforce the conclusion made in Report 1 about the advisability of adhering to the dose threshold of 0.5 Gy for circulatory pathologies mortality established by UNSCEAR, ICRP, NCRP, BEIR, etc.; b) they indicate very low, negligible risks of mortality from circulatory pathologies attributed to the radiation factor for nuclear industry workers in recent decades and for most of those even in the previous period; c) they show that for the real activity and health protection of the majority of workers in the nuclear industry, the determination/calculation of the radiation risks of mortality from circulatory pathologies is of an exclusively theoretical nature. These conclusions are important, among other things, for expert advices on establishing the causality of occupational pathologies in nuclear industry workers.

Multigene phylogeny, taxonomy, and potential biological properties of Pseudoroussoella and Neoroussoella species (Roussoellaceae, Dothideomycetes) from Asteraceae weeds in northern Thailand.

In our study, dead stems of two Asteraceae species (weeds) were collected from northern Thailand. Both morphology and multigene phylogeny were used to determine the identity of the taxa. Maximum likelihood and Bayesian inference analyses of combined LSU, SSU, ITS, tef1-α and rpb2 data revealed two new species Pseudoroussoellabidenticola, and Neoroussoellachromolaenae with one new host record of N.entadae. Preliminary investigation into antibacterial properties revealed that our three isolates inhibited the growth of Bacillussubtilis, Escherichiacoli, and Staphylococcusaureus. Additionally, we present updated phylogenetic trees for Roussoellaceae, accompanied by detailed descriptions and illustrations of the three identified species.

Identification of Architectural Roman Remains in the Complex Archaeological Site of Buto ‘Tell El Fara'in’, Northern Egypt, Using Geophysical and Remote Sensing Data

ABSTRACTThe integrated use of remote sensing (RS) techniques, vertical magnetic gradient (VMG) and electrical resistivity tomography (ERT) measurements, and, in particular, combined analysis of 2D and 3D data, can provide a viable option for the identification of targets of interest at complicated archaeological sites. In this regard, a case study is Kom C at the archaeological site of Buto (Tell El Fara'in) in the northern Nile Delta (Egypt), where satellite data (Google Earth, Landsat 8 and OrbView‐3), VMG and ERT measurements were collected prior to site excavation. In this particular case, soil salinity in the buried structures, a lack of contrast in magnetic susceptibility and electrical resistivity, as well as the orientation, complex spatial distribution and overlapping of the architectural elements, all contributed to a number of anomalies that were difficult to interpret using only 2D results. Initially, the archaeological remains were identified as being made of mud‐brick based on land surface temperature (LST) estimated from thermal bands (Bands 10 and 11) in Landsat 8. Then, the high‐resolution satellite data, as well as the VMG and ERT (2D, quasi‐3D and full 3D resistivity models), were integrated to produce a comprehensive map of buried archaeological features. Excavations by Kafrelsheikh University in collaboration with the Ministry of Tourism and Antiquities recovered archaeological remains, including architectural elements that were perhaps used for official or administrative purposes or pottery‐making workshops during the Late Roman period (between the 4th and 7th century ce). The direct comparison of geophysical results to archaeological evidence from the excavation enabled a robust interpretation of geophysical anomalies visible in the horizontal resistivity depth slice and magnetic maps. As a whole, this case study highlights the value of combining satellite data with the analysis of 2D data and 3D views of geophysical surveys to better understand the real distribution of buried archaeological remains at similar complex sites.

Use of Estonian Biobank data and participant recall to improve Wilson's disease management.

Population-based biobanks enable genomic screening to support initiatives that prevent disease onset or slow its progression and to estimate the prevalence of genetic diseases in the population. Wilson's disease (WD) is a rare genetic copper-accumulation disorder for which timely intervention is crucial, as treatment is readily available. We studied WD in the Estonian Biobank population to advance patient screening, swift diagnosis, and subsequent treatment. Combined analysis of genotype and phenotype data from electronic health records (EHRs) consolidated at the Estonian biobank led to the identification of 17 individuals at high risk of developing WD, who were recalled for further examination and deep phenotyping. All recall study participants, regardless of phenotype, age, and prior WD diagnosis, had low serum ceruloplasmin and copper levels, and 87% also exhibited signs of early to late neurodegeneration. The p.His1069Gln variant in ATP7B, a prevalent pathogenic mutation, showed a striking four- to five-fold enrichment in Estonians compared with other populations. Based on our analysis of genetic and nationwide health registry data, we estimate that WD remains underdiagnosed and undertreated in Estonia. Our study demonstrates that personalized medicine, implemented with the collaboration of medical professionals, has the potential to reduce the healthcare burden by facilitating the accurate diagnosis of rare genetic diseases. To our knowledge, this report is the first to describe a large-scale national biobank-based study of WD.

Vamsapriya yadongensis sp. nov. (Vamsapriyaceae, Xylariales) from Southwestern China

During an investigation of microfungi in the Xizang Autonomous Region (Tibet), China, a specimen was collected from unidentified terrestrial dead wood. Based on morphological and phylogenetic analyses, the specimen is described as a new species, Vamsapriya yadongensis. Phylogenetic analyses of combined ITS, LSU, rpb2, and tub2 sequence data indicate that Vamsapriya yadongensis is a sister to V. uniseptata. However, it differs from Vamsapriya uniseptata by its comparatively larger conidia, synnemata and higher number of conidial septa. Detailed morphological descriptions, illustrations, a synopsis table, phylogenetic affinities and key to the genus are provided.

The Winter Foehn Footprint Across McMurdo Dry Valleys of Antarctica Using a Satellite‐Derived Data Set‐AntAir v1.0

AbstractContinental‐scale mosaics of satellite‐based surface brightness temperature from thermal infrared band measurements and derived near‐surface air temperatures from geostatistical modeling provide new opportunities for understanding wintertime Foehn wind warming and its potential impacts on the valley floor warming. We have detected and assessed Foehn signatures using a combined data analysis approach from previously developed and validated Antarctic‐wide near‐surface Air temperature data set (AntAir), automatic weather stations from the McMurdo Dry Valleys, and regional climate model simulations at 10 km spatial grid resolution. Self‐organizing maps and data compositing methods on regional climate model outputs provided meteorological context for the AntAir‐derived surface climate information. We conclude that AntAir is suitable for surface climatological analyses and improvements are underway to enhance the spatial resolution to sub‐kilometer grid scales. Finally, by applying a Foehn detection algorithm over 13 years, we present the spatial climatological footprints of Foehn‐induced warming across the Dry Valleys of Antarctica for the first time over the austral winters.

Searching for compact hierarchical triple system candidates in astrometric binaries and accelerated solutions

Compact hierarchical triple (CHT) systems, where a tertiary component orbits an inner binary, provide critical insights into stellar formation and evolution. Despite their importance, the detection of such systems, especially compact ones, remains challenging due to the complexity of their orbital dynamics and the limitations of traditional observational methods. This study aims to identify new CHT star systems among \ astrometric binaries and accelerated solutions by analysing the radial velocity (RV) amplitude of these systems, thereby improving our understanding of stellar hierarchies. We selected a sample of bright astrometric binaries and accelerated solutions from the DR3 Non-Single Stars catalogue. The RV peak-to-peak amplitude was used as an estimator, and we applied a new method to detect potential triple systems by comparing the RV-based semi-amplitude with the astrometric semi-amplitude. We used available binary and triple star catalogues to identify and validate candidates, with a subset confirmed through further examination of the RV and astrometric data. Our analysis resulted in the discovery of $956$ CHT candidates among the orbital sources as well as another $3,115$ probable close binary sources in stars with accelerated solutions. Exploring the inclination, orbital period, and eccentricity of the outer companion in these CHT systems provides strong evidence of mutual orbit alignment, as well as a preference towards moderate outer eccentricities. Our novel approach has proven effective in identifying potential triple systems, thereby increasing their number in the catalogues. Our findings emphasise the importance of combined astrometric and RV data analysis in the study of multiple star systems.

Five years after the Brumadinho dam collapse: Evaluation of water quality based on combined analysis of land use and environmental data

The collapse of the dam in the Paraopeba River watershed in 2019 triggered significant concerns regarding water quality in the region. This study aimed to assess, five years after the disaster, the effects on water quality and understand the underlying factors of environmental pressure contributing to the observed changes. To perform the evaluation, the study utilized surface water quality data pre-disaster (2012–2018) and post-disaster (2019–2023), environmental data regarding the identification of high-polluting potential industries operating in the region of interest, and land use for the watershed as a combined evaluation. Nonparametric statistical tests Kruskal-Wallis, complemented by Dunn's, were employed to assess the significance of changes in water quality parameters post-collapse. The results indicate a relatively stable baseline scenario of land use dominated by agriculture and pasture, with minor changes observed in forest cover and urban development. However, post-collapse assessments showed significant variations in water quality parameters, with turbidity exceeding conformity levels by up to 68 % (over 100 NTU), dissolved iron (Fe) by up to 70 % (over 0.3 mg.L–1), manganese (Mn) by up to 91 % (over 0.1 mg.L–1), dissolved aluminum (Al) by up to 83 % (over 0.01 mg.L–1), and lead (Pb) by up to 26 % (over 0.01 mg.L–1). Statistical tests suggested possible effects of the dam collapse on turbidity, pH, dissolved Fe, Mn, and dissolved Al. Temporal analysis showed constant effects on water quality, with notable increases in dissolved Fe and Mn concentrations observed upstream post-disaster and persistent impacts downstream. New mining activities licensed after 2019 may have contributed to the deterioration of water quality, highlighting the relevant relationship of anthropogenic activities and the environmental disaster in the Paraopeba River watershed.

The Infected Diabetic Foot: Does Negative Pressure Wound Therapy with Irrigation Reduce Bioburden and Improve Wound Healing?

The aim of this study was to compare the microbial loads of patients with diabetic foot infections treated with negative pressure wound therapy (NPWT) with and without irrigation with polyhexamethylene biguanide (NPWTi-P). This is a post hoc analysis of combined data of two randomized clinical trials. We evaluated people with diabetes treated with moderate and severe diabetic foot infections that required surgery. Tissue specimens were obtained after the initial surgery and following a second planned return to the operating room after 48-72 h of NPWT or NPWTi-P, prior to the second surgery. We used quantitative polymerase chain reaction (qPCR) to determine the total microbial loads (Log10 16S copies per gram of tissue). There was no difference in mean quantitative bacterial cultures among patients that received NPWT and NPWTi-P (before first surgery Log10: NPWT = 6.4 ± 1.8, NPWTi-P = 7.5 ± 1.7 vs before second surgery Log10: NPWT = 6.7 ± 1.8, NPWTi-P = 7.6 ± 1.9 p = .12). There was no difference in wound healing (59.5% vs 50.0%, p = .51) or time to heal (127 ± 109.3 vs 143 ± 95.9), p = .71). There were fewer re-infections in people that received traditional NPWT (28.6% vs 56.3%, p = .05). Level of Clinical Evidence: Level 1.