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Abstract Soil is one of the most important reservoirs of antibiotic resistance, global threat that needs to be addressed with the One Health approach. Despite urban parks playing a fundamental role in urban ecosystems, the diffusion, maintenance, and human impact of antibiotic-resistance genes in this substrate are still poorly addressed. To fill in this gap, we adopted a molecular and culturomics approach to study antibiotic resistance in urban parks, accounting for the environmental matrix and the level of urbanization. A higher abundance of efflux-mediated mechanisms in undisturbed environments was observed, while antibiotic alteration or inactivation, and target replacement were more abundant in areas with a higher level of urbanization, also confirmed by significant correlations with anthropogenic features of the environmental matrix. Overall, this study highlights the crucial need to monitor antibiotic resistance in urban parks’ soil through a dual molecular and culturomics approach to fully understand and fight antibiotic resistance diffusion.

New data on the distribution of 11 Symphyta species phyllophagous on birch trees (Betula L.) are presented. Dineura virididorsata (Retzius, 1783), Heterarthrus nemoratus (Fallén, 1808), Nematinus caledonicus (Cameron, 1882), Pamphilius varius (Audinet-Serville, 1823), and Pristiphora alpestris (Konow, 1903) are reported from Slovakia for the first time. The little-known Allantus cingillum (Klug, 1814), Euura ampla (Konow, 1895), E. leionota (Benson, 1933), Profenusa thomsoni (Konow, 1886), Trichiosoma lucorum (Linnaeus, 1758), and T. vitellina (Linnaeus, 1761) were found in Slovakia, either after many decades or for the second time.

Abstract The proline-rich antimicrobial designer peptide Api137 inhibits protein expression in bacteria by binding simultaneously to the ribosomal polypeptide exit tunnel and the release factor (RF), depleting the cellular RF pool and leading to ribosomal arrest at stop codons. This study investigates the additional effect of Api137 on the assembly of ribosomes using an Escherichia coli reporter strain expressing one ribosomal protein per 30S and 50S subunit tagged with mCherry and EGFP, respectively. Separation of cellular extracts derived from cells exposed to Api137 in a sucrose gradient reveals elevated levels of partially assembled and not fully matured precursors of the 50S subunit (pre-50S). High-resolution structures obtained by cryogenic electron microscopy demonstrate that a large proportion of pre-50S states are missing up to five proteins (uL22, bL32, uL29, bL23, and uL16) and have misfolded helices in 23S rRNA domain IV. These data suggest a second mechanism for Api137, wherein it disrupts 50S subunit assembly by inducing the formation of misfolded precursor particles potentially incapable of evolving into active ribosomes, suggesting a bactericidal mechanism.

Abstract The correlation and physical interconnection between space weather indices and cosmic ray flux has been well‐established with extensive literature on the topic. Our investigation is centered on the relationships among the solar radio flux, geomagnetic field activity, and cosmic ray flux, as observed by the Neutron Monitor at the Lomnický štít Observatory in Slovakia. We processed the raw neutron monitor data, generating the first publicly accessible data set spanning 42 years. The curated continuous data are available in.csv format in hourly resolution from December 1981 to July 2023 and in minute resolution from January 2001 to July 2023 (Institute of Experimental Physics SAS, 2024, https://doi.org/10.5281/zenodo.10790915). Validation of this processed data was accomplished by identifying distinctive events within the data set. As part of the selection of events for case studies, we report the discovery of TGE‐s visible in the data. Applying the Pearson method for statistical analysis, we quantified the linear correlation of the data sets. Additionally, a prediction power score was computed to reveal potential non‐linear relationships. Our findings demonstrate a significant anti‐correlation between cosmic ray and solar radio flux with a correlation coefficient of −0.74, coupled with a positive correlation concerning geomagnetic field strength. We also found that the neutron monitor measurements correlate better with a delay of 7–21 hr applied to the geomagnetic field strength data. The correlation between these data sets is further improved when inspecting periods of extreme solar events only. Lastly, the computed prediction power score of 0.22 for neutron flux in the context of geomagnetic field strength presents exciting possibilities for developing real‐time geomagnetic storm prediction models based on cosmic ray measurements.

We investigate properties of closed approximate subgroups of locally compact groups, with a particular interest for approximate lattices (i.e., those approximate subgroups that are discrete and have finite co-volume).

BackgroundIndividuals with a minority sexual orientation have consistently been found to face a greater risk of mental health problems and problematic substance use than heterosexual individuals. The present study examined whether differences in alcohol use or alcohol use disorder (AUD) symptoms across the spectrum of sexual orientations could be explained by drinking motives (i.e., enhancement, social, coping and conformity motives).MethodA non-self-selective sample of non-abstinent, young Swiss men (N = 5,139; mean age = 25.4, SD = 1.25) completed a self-reporting questionnaire on sexual orientation (on a five-point attraction scale: heterosexual, mostly-heterosexual, bisexual, mostly-homosexual, homosexual), drinking motives, alcohol use indicators (e.g., heavy episodic drinking, Alcohol Use Disorders Identification Test-Consumption [AUDIT-C]), and AUD symptoms. Structural equation modeling was used to test whether drinking motives mediated the associations between dummy-coded sexual orientation (with heterosexual men as the reference) and alcohol use indicators or AUD symptoms.ResultsMostly-heterosexual men exhibited higher scores on alcohol use indicators than heterosexual men, with almost full mediation through their drinking motives, specifically higher enhancement motives. They also reported more AUD symptoms, partially mediated through drinking motives, with comparable contributions from enhancement and coping motives. Homosexual men, however, displayed similar or lower scores for alcohol use indicators and AUD symptoms than heterosexual men, but these differences were not mediated by drinking motives. Indeed, homosexual men exhibited greater coping motives than heterosexual men. No significant results or discernible patterns emerged for bisexual or mostly-homosexual men.DiscussionThese findings highlight the importance of considering the full spectrum of sexual orientations in healthcare and of broadening the focus on drinking motives beyond coping. Understanding the varied motives for alcohol use across the spectrum of sexual orientations facilitates tailored prevention strategies.

Summary: Background: Diabetic gastroenteropathy is associated with nausea, vomiting, bloating, pain, constipation, and diarrhoea. Current therapies are scarce. We tested faecal microbiota transplantation (FMT) for patients with type 1 diabetes and gastroenteropathy. Methods: In a randomised, double-blinded, placebo-controlled pilot trial, adults with type 1 diabetes and moderate-to-severe gastrointestinal symptoms were randomised (1:1) to encapsulated FMT or placebo. Each patient received around 25 capsules containing 50 g of faeces, administered in a single dose. The placebo capsules contained glycerol, saline and food colouring. All patients received FMT as a second intervention. The primary endpoint was number of adverse events of severity grade 2 or more assessed by the Common Terminology Criteria for Adverse Events during the week following the first intervention. Secondary endpoints included gastrointestinal symptoms and quality of life assessed four weeks after treatment. Public trial registration, ClinicalTrials.gov NCT04749030. Findings: We randomised 20 patients to FMT or placebo. Following this intervention, 26 adverse events of grade 2 or more occurred. Four patients in the FMT group reported seven adverse events, and five patients in the placebo group reported 19, with no differences between the groups. The most frequent adverse events were diarrhoea, bloating, and abdominal pain. No serious adverse events were related to the treatment. Patients who received FMT reduced their median Gastrointestinal Symptom Rating Scale—Irritable Bowel Syndrome score from 58 (IQR 54–65) to 35 (32–48), whereas patients receiving placebo reduced their score from 64 (55–70) to 56 (50–77) (p = 0.01). The Irritable Bowel Syndrome Impact Scale score improved from 108 (101–123) to 140 (124–161) with FMT and 77 (53–129) to 92 (54–142) with placebo (p = 0.02). The Patient Assessment of Gastrointestinal Symptom Severity Index declined from a median of 42 (28–47) to 25 (14–31) after FMT and 47 (31–69) to 41 (36–64) after placebo (p = 0.03). Interpretation: FMT was safe and improved clinical outcomes for patients with type 1 diabetes suffering from bowel symptoms. Funding: Steno Collaborative Grant.

Background and Aims: Chronic fatigue is common in patients with inflammatory bowel disease (IBD). The gut microbiota, specifically, microbial diversity and butyrate-producing bacteria have been linked to the fatigue pathogenesis. High-dose oral thiamine reduces fatigue, potentially through gut microbiota modification. In this study, we investigated how the gut microbiota influences the efficacy of high-dose thiamine in alleviating chronic fatigue in quiescent IBD (qIBD). Methods: We analyzed the microbiota and short-chain fatty acids concentrations in fecal samples from patients with qIBD, with (n = 40) or without (n = 20) chronic fatigue. The 40 patients with qIBD and fatigue were included in a randomized, placebo-controlled, crossover trial to assess a 4-week high-oral-dose thiamine regimen. Results: Butyrate and butyrate-producing bacteria were similar in patients with and without fatigue and did not change with high-dose thiamine treatment. Notably, Faecalibacterium prausnitzii was more abundant in thiamine responders compared with nonresponders both pretreatment (P = .019) and post-treatment (P = .038). The relative abundances of Faecalibacterium prausnitzii and Roseburia hominis, both pretreatment and post-treatment, inversely correlated with IBD fatigue score changes for patients with chronic fatigue (PRE; R = −0.48, P = .004, and R = −0.40, P = .018; POST; R = −0.42, P = .012, and R = −0.40, P = .017) respectively. Conclusion: Faecalibacterium prausnitzii and Roseburia hominis may serve as markers for response to high-dose thiamine in alleviating chronic fatigue in patients with qIBD. The mechanistic role of gut bacteria and butyrate in patients with chronic fatigue and qIBD should be further explored.

Background: Immunization plays a substantial role in reducing the under-five mortality rate. However, Tanzania still has a significant number of zero-dose and under-vaccinated children and was ranked among the top ten African countries with the highest numbers of zero-dose children in 2022. The human-centered design (HCD) approach is more ethical and effective at addressing public health challenges in complex sociocultural settings. This study aimed to use the HCD approach to aid in identifying, prioritizing, and implementing community-centric interventions in Tanzania, particularly in the Ilala District of Dar es Salaam, to increase vaccine demand and close the zero-dose gap by at least 50%. Methods: The study involved co-creation workshops with 483 participants to identify, design, and test solutions. The study followed the UNICEF Journey to Health and Immunization framework to identify barriers and enablers influencing stakeholders in adopting and sustaining health- and immunization-related actions. Results: The study identified the causes of under-five defaulting and the zero-dose gap, i.e., the inadequate support of local community leaders in under-five vaccination sensitization and surveillance; poor infrastructure to new settlement areas; hesitancy and unwillingness of parents/guardians; absence of house numbers; limited/time-constrained availability of resources to facilitate mobile immunization services, etc. The participants were able to come up with 309 ideas, which were refined through multiple iterations using the impact–-effort matrix and skimmed down to three (3) solutions: (i) having health facilities to notify and alert local leaders about vaccination dates; (ii) using parents, kids, and grownups who got vaccinated to influence others; (iii) using local government leaders and house representatives for vaccine advocacy. Of these, the solution involving local government leaders and house representatives for vaccine advocacy was implemented. An advocacy strategy was used to enhance the collaboration of the District Commissioner, Council leaders, and community leaders. A home-to-home interpersonal sensitization approach accompanied by the household delivery of vaccination services was employed. The findings reveal that the HCD framework was impactful in increasing collaborations/cooperation with local government leaders and community ownership of the under-five vaccination initiative. As a result, 67,145 houses, equal to 104%, were reached, surpassing the initial target of 64,800 houses, and 131,088 families, equal to 83% of the targeted 156,995 households, were sensitized through a home-to-home campaign approach. This study demonstrates the effectiveness of the approach. Researchers and practitioners are encouraged to adopt the HCD approach when addressing public health challenges, especially in complex sociocultural settings.

Bayesian approaches to decision trees (DTs) using Markov Chain Monte Carlo (MCMC) samplers have recently demonstrated state-of-the-art accuracy performance when it comes to training DTs to solve classification problems. Despite the competitive classification accuracy, MCMC requires a potentially long runtime to converge. A widely used approach to reducing an algorithm’s runtime is to employ modern multi-core computer architectures, either with shared memory (SM) or distributed memory (DM), and use parallel computing to accelerate the algorithm. However, the inherent sequential nature of MCMC makes it unsuitable for parallel implementation unless the accuracy is sacrificed. This issue is particularly evident in DM architectures, which normally provide access to larger numbers of cores than SM. Sequential Monte Carlo (SMC) samplers are a parallel alternative to MCMC, which do not trade off accuracy for parallelism. However, the performance of SMC samplers in the context of DTs is underexplored, and the parallelization is complicated by the challenges in parallelizing its bottleneck, namely redistribution, especially on variable-size data types such as DTs. In this work, we study the problem of parallelizing SMC in the context of DTs both on SM and DM. On both memory architectures, we show that the proposed parallelization strategies achieve asymptotically optimal O(log2N) time complexity. Numerical results are presented for a 32-core SM machine and a 256-core DM cluster. For both computer architectures, the experimental results show that our approach has comparable or better accuracy than MCMC but runs up to 51 times faster on SM and 640 times faster on DM. In this paper, we share the GitHub link to the source code.

We tackle the problem of Clifford isometry compilation, i.e, how to synthesize a Clifford isometry into an executable quantum circuit. We propose a simple framework for synthesis that only exploits the elementary properties of the Clifford group and one equation of the symplectic group. We highlight the versatility of our framework by showing that several normal forms of the literature are natural corollaries. We recover the state of the art two-qubit gate depth necessary for the execution of a Clifford circuit on an LNN architecture, concomitantly with another work. We also propose practical synthesis algorithms for Clifford isometries with a focus on Clifford operators, graph states and codiagonalization of Pauli rotations. Benchmarks show that in all three cases we improve the 2-qubit gate count and depth of random instances compared to the state-of-the-art methods. We also improve the execution of practical quantum chemistry experiments.