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2. Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain

Author

S. Top, L. Kotova, L. De Cruz, S. Aniskevich, L. Bobylev, R. De Troch, N. Gnatiuk, A. Gobin, R. Hamdi, A. Kriegsmann, A. R. Remedio, A. Sakalli, H. Van De Vyver, B. Van Schaeybroeck, V. Zandersons, P. De Maeyer, P. Termonia, and S. Caluwaerts

Subjects
Geology, QE1-996.5
Abstract

To allow for climate impact studies on human and natural systems, high-resolution climate information is needed. Over some parts of the world plenty of regional climate simulations have been carried out, while in other regions hardly any high-resolution climate information is available. The CORDEX Central Asia domain is one of these regions, and this article describes the evaluation for two regional climate models (RCMs), REMO and ALARO-0, that were run for the first time at a horizontal resolution of 0.22∘ (25 km) over this region. The output of the ERA-Interim-driven RCMs is compared with different observational datasets over the 1980–2017 period. REMO scores better for temperature, whereas the ALARO-0 model prevails for precipitation. Studying specific subregions provides deeper insight into the strengths and weaknesses of both RCMs over the CAS-CORDEX domain. For example, ALARO-0 has difficulties in simulating the temperature over the northern part of the domain, particularly when snow cover is present, while REMO poorly simulates the annual cycle of precipitation over the Tibetan Plateau. The evaluation of minimum and maximum temperature demonstrates that both models underestimate the daily temperature range. This study aims to evaluate whether REMO and ALARO-0 provide reliable climate information over the CAS-CORDEX domain for impact modeling and environmental assessment applications. Depending on the evaluated season and variable, it is demonstrated that the produced climate data can be used in several subregions, e.g., temperature and precipitation over western Central Asia in autumn. At the same time, a bias adjustment is required for regions where significant biases have been identified.

Published
2021
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3. Climate risk services for cereal farming

Author

A. Gobin, N. Addimando, C. Ramshorn, and K. Gutbrod

Subjects
Science, Physics, QC1-999, Meteorology. Climatology, QC851-999
Abstract

Agricultural production is largely determined by weather conditions during the crop growing season. An important aspect of crop yield estimation concerns crop growth development. The occurrence of meteorological events such as frosts, droughts or heat stress during the crop life cycle or during certain phenological stages helps explain yield fluctuations of common arable crops. We developed a methodology and visualisation tool for risk assessment, and tested the workflow for drought and frost risk for winter wheat, winter barley and grain maize in Belgium. The methodology has the potential to be extended to other extreme weather events and their impacts on crop growth in different regions of the world.

Published
2021
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4. Spatial indicators for desertification in southeast Vietnam

Author

L. T. T. Hien, A. Gobin, and P. T. T. Huong

Subjects
Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

Desertification is influenced by different factors that relate to climate, soil, topography, geology, vegetation, human pressure, and land and water management. The quantification of these factors into spatially explicit indicators and subsequent evaluation provides for a framework that allows us to identify areas currently at risk of desertification and to evaluate important contributing biophysical and socio-economic factors. Based on local knowledge of environmental contributing factors to the risk of desertification in the Binh Thuan Province of southeast Vietnam, a baseline 2010 map showed that 14.4 % of the area, mainly along the coast and in the northeast, is desertified with another 35.4 % at severe risk of desertification. The Vietnamese Ministry of Natural Resource and Environment has defined the area with a ratio of rainfall to evapotranspiration smaller or equal to 0.65, which equals 1233 km2 or 15 % of the province, as desertified area, which corresponds well with the baseline 2010 map. The developed framework incorporates the important contributing factors and therefore allows for decision support in a “what if” structure and for the projection of potentially vulnerable areas under future scenarios. With projected climate change and population growth, the desertified area is expected to increase by 122 % (or 137 850 ha) towards 2050. The developed methodology can be extended to neighbouring provinces that experience similar sensitivities to desertification.

Published
2019
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5. Exploration of Novel Neuromorphic Methodologies for Materials Applications

Author

Gobin, Derek, Snyder, Shay, Cong, Guojing, Kulkarni, Shruti R., Schuman, Catherine, and Parsa, Maryam

Subjects
Computer Science - Emerging Technologies
Abstract

Many of today's most interesting questions involve understanding and interpreting complex relationships within graph-based structures. For instance, in materials science, predicting material properties often relies on analyzing the intricate network of atomic interactions. Graph neural networks (GNNs) have emerged as a popular approach for these tasks; however, they suffer from limitations such as inefficient hardware utilization and over-smoothing. Recent advancements in neuromorphic computing offer promising solutions to these challenges. In this work, we evaluate two such neuromorphic strategies known as reservoir computing and hyperdimensional computing. We compare the performance of both approaches for bandgap classification and regression using a subset of the Materials Project dataset. Our results indicate recent advances in hyperdimensional computing can be applied effectively to better represent molecular graphs., Comment: 5 pages, 2 figures, 1 table

Published
2024

6. Parallelized Multi-Agent Bayesian Optimization in Lava

Author

Snyder, Shay, Gobin, Derek, Clerico, Victoria, Risbud, Sumedh R., and Parsa, Maryam

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

In parallel with the continuously increasing parameter space dimensionality, search and optimization algorithms should support distributed parameter evaluations to reduce cumulative runtime. Intel's neuromorphic optimization library, Lava-Optimization, was introduced as an abstract optimization system compatible with neuromorphic systems developed in the broader Lava software framework. In this work, we introduce Lava Multi-Agent Optimization (LMAO) with native support for distributed parameter evaluations communicating with a central Bayesian optimization system. LMAO provides an abstract framework for deploying distributed optimization and search algorithms within the Lava software framework. Moreover, LMAO introduces support for random and grid search along with process connections across multiple levels of mathematical precision. We evaluate the algorithmic performance of LMAO with a traditional non-convex optimization problem, a fixed-precision transductive spiking graph neural network for citation graph classification, and a neuromorphic satellite scheduling problem. Our results highlight LMAO's efficient scaling to multiple processes, reducing cumulative runtime and minimizing the likelihood of converging to local optima., Comment: 4 pages, 2 figures, 2 algorithms, 2 tables

Published
2024

7. ORCHIDEE-SRC v1.0: an extension of the land surface model ORCHIDEE for simulating short rotation coppice poplar plantations

Author

T. De Groote, D. Zona, L. S. Broeckx, M. S. Verlinden, S. Luyssaert, V. Bellassen, N. Vuichard, R. Ceulemans, A. Gobin, and I. A. Janssens

Subjects
Geology, QE1-996.5
Abstract

Modelling biomass production and the environmental impact of short rotation coppice (SRC) plantations is necessary for planning their deployment, as they are becoming increasingly important for global energy production. This paper describes the modification of the widely used land surface model ORCHIDEE for stand-scale simulations of SRC plantations. The model uses weather data, soil texture and species-specific parameters to predict the aboveground (harvestable) biomass production, as well as carbon and energy fluxes of an SRC plantation. Modifications to the model were made to the management, growth, and allocation modules of ORCHIDEE. The modifications presented in this paper were evaluated using data from two Belgian poplar-based SRC sites, for which multiple measurements and meteorological data were available. Biomass yield data were collected from 23 other sites across Europe and compared to 22 simulations across a comparable geographic range. The simulations show that the model predicts very well aboveground (harvestable) biomass production (within measured ranges), ecosystem photosynthesis (R2 = 0.78, NRMSE = 0.064, PCC = 0.89) and ecosystem respiration (R2 = 0.95, NRMSE = 0.078 PCC = 0.91). Also soil temperature and soil moisture are simulated adequately, but due to the simplicity of the soil moisture simulation, there are some discrepancies, which also influence the simulation of the latent heat flux. Overall, the extended model, ORCHIDEE-SRC, proved to be a tool suitable for predicting biomass production of SRC plantations.

Published
2015
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11. Getting Your Message Out

Author

Gobin, Robyn L., primary, Durvasula, Ramani, additional, Kia-Keating, Maryam, additional, Coffie, Terrance, additional, Chang, Doris F., additional, and Bryant, Linda Lausell, additional

Published
2024
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13. Impact of heat and drought stress on arable crop production in Belgium

Author

A. Gobin

Subjects
Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

Modelling approaches are needed to accelerate understanding of adverse weather impacts on crop performances and yields. The aim was to elicit biometeorological conditions that affect Belgian arable crop yield, commensurate with the scale of climatic impacts. The regional crop model REGCROP (Gobin, 2010) enabled to examine changing weather patterns in relation to the crop season and crop sensitive stages of six arable crops: winter wheat, winter barley, winter rapeseed, potato, sugar beet and maize. The sum of vapour pressure deficit during the growing season is the single best predictor of arable yields, with R2 ranging from 0.55 for sugar beet to 0.76 for wheat. Drought and heat stress, in particular during the sensitive crop stages, occur at different times in the crop season and significantly differ between two climatic periods, 1947–1987 and 1988–2008. Though average yields have risen steadily between 1947 and 2008, there is no evidence that relative tolerance to stress has improved.

Published
2012
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15. Effect of sleep quality on repetitive transcranial magnetic stimulation outcomes in depression

Author

Jamie Kweon, Andrew M. Fukuda, Asi P. Gobin, Lamaan Haq, Linda L. Carpenter, and Joshua C. Brown

Subjects
sleep, TMS, plasticity, predictors, depression, Psychiatry, RC435-571
Abstract

IntroductionWhile repetitive transcranial magnetic stimulation (rTMS) is effective for 50-60% of those treatment-resistant depression, it is critical to identify predictors of response for optimal patient selection to improve therapy. Insomnia is a known symptom of depression that is both correlated with depression severity and associated with poor antidepressant response. Therefore, understanding this relationship may open new opportunities for the optimization of rTMS treatment. We aimed to explore whether baseline sleep quality, specifically insomnia, is associated with rTMS outcomes in a naturalistic sample of 975 patients (age 18-90; 63.9% F) receiving a standard course of rTMS treatment from two outpatient TMS clinics located within psychiatric hospitals in the United States. One site additionally collected information on concurrent medication use on 350 patients; among these, we examined whether pharmacological treatment of insomnia affected TMS treatment response.MethodsDepression was measured using the 30-item Inventory of Depressive Symptomology Self Report (IDS-SR) in site one and an abbreviated 16-item Quick Inventory of Depressive Symptomology (QIDS) derived from the IDS-SR in site two. Sleep disturbances were measured using three insomnia-related questions. Multilevel logistic regression was used to determine whether baseline insomnia scores were associated with TMS treatment outcome. Upon dichotomous categorization of the sample by insomnia and sleep-medication use, depression and sleep scores were analyzed across time using mixed repeated measures ANOVA.ResultsWe found that sleep quality improves after TMS (p

Published
2024
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16. Contribution of Sentinel-2 spring seedbed spectra to the digital mapping of soil organic carbon concentration

Author

Fien Vanongeval, Jos Van Orshoven, and Anne Gobin

Subjects
Digital soil mapping, Soil organic carbon, Granulometry, Spring seedbed spectra, Environmental covariates, Science
Abstract

Soil organic carbon (SOC) is central to the functioning of terrestrial ecosystems, has climate mitigation potential and provides several benefits for soil health. Understanding the spatial distribution of SOC can help formulate sustainable soil management practices. Digital soil mapping (DSM) uses advanced statistical and geostatistical methods to estimate soil properties across large areas. DSM integrates climate data, topographic features, geology, legacy soil maps, land management and remote sensing data. Bare soil spectra may reflect the presence of particular soil components, making satellite derived spectra suitable predictors of SOC. Bare soil spectra derived from Sentinel-2 were used to estimate SOC concentration (SOC%) and granulometric fractions in the plough layer (0–30 cm) of agricultural parcels in northern Belgium. Thereafter, the estimation performance of SOC% was compared for three DSM models: one with bare soil spectra, one with environmental covariates (topography, granulometry and vegetation), and a combined model with bare soil spectra and environmental covariates. The estimation performance of sand, silt and clay fractions using bare soil spectra from the spring seedbed (R2: 0.53–0.74; RPD: 1.49–2.05; RPIQ: 1.52–2.39) was higher than that of SOC% (R2: 0.16; RPD: 1.08; RPIQ: 1.32). The highest estimation performance of SOC% was obtained for a DSM model including all covariates (R2: 0.28; RPD: 1.18; RPIQ: 1.44), but the contribution of spring seedbed spectra to a model containing environmental covariates was small. The results provide valuable insights for refining soil property estimation using DSM with spectral and environmental covariates.

Published
2024
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17. Qualitative evaluation of digital vending machines to improve access to STI and HIV testing in South West England: using a Person-Based Approach

Author

Joanna M Kesten, Jeremy Horwood, Sarah Denford, Maya Gobin, Lindsey Harryman, Sarah Stockwell, Samuel Hayward, Lottie Lawson, and Joanna Copping

Subjects
Medicine
Abstract

Objectives To report the development, implementation, acceptability and feasibility of vending machines offering HIV and sexually transmitted infection (STI) testing kits.Design A qualitative study using the Person-Based Approach with patient and public involvement workshops and stakeholder involvement and interviews with machine users, sexual health service (SHS) staff, venue staff and local authority sexual health commissioners. Transcripts were analysed thematically.Setting Bristol, North Somerset and South Gloucestershire (BNSSG).Participants 15 machine users, 5 SHS staff, 3 venue staff and 3 local authority commissioners.Intervention Four vending machines dispensing free HIV self-testing and STI self-sampling kits in publicly accessible venues across BNSSG were introduced to increase access to testing for groups at higher risk of HIV and STI infection who are less likely to access SHS clinic testing services (young people, people from black communities, and gay, bisexual and other men who have sex with men).Results Machine users reported the service was convenient, easy to use and accessible; however, concerns regarding privacy related to machine placement within the venues and issues of maintenance were raised. Promotional material was inclusive and informative; however, awareness of the service through the promotional campaign was limited. Vending machines were acceptable to venue staff once clear processes for their management were agreed with the SHS. SHS staff identified challenges with the implementation of the service related to the limited involvement of the whole SHS team in the planning and development.Conclusions The codeveloped vending machine service was acceptable, addressing some barriers to testing. Resources and protected staff time are needed to support greater involvement of the whole SHS team and service providers in venues. Adopting a similarly robust coproduction approach to the implementation of the machines could avoid the challenges reported. The placement of the machines to assure users privacy and repeated, targeted promotion could encourage service use among target groups.

Published
2024
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18. Current and future workforce of general internal medicine in Switzerland: a cross-sectional study

Author

Lukas Reinhard, Lars Clarfeld, Niels Gobin, Christoph Knoblauch, Patrick Järgen, Joana Le Boudec, Meret Merker, Caroline Rimensberger, Céline Roulet, Nora Schaub, Katja Töttler, Maria M. Wertli, and Sven Streit

Subjects
Medicine
Abstract

AIM OF THIS STUDY: General internal medicine is a crucial element in healthcare systems. Understanding how many people are and will be working in this field is important to maintain and improve quality for patients in healthcare systems. This can provide a basis for political decisions. METHODS: We conducted a cross-sectional study to analyse the current and future workforce of generalists (general practitioners and internists in hospitals) in Switzerland. The Swiss Society of General Internal Medicine (SSGIM) distributed a survey to all members. Respondents were asked about their current average workload in 2023 and planned workload in 2033. The responses were used to calculate full-time equivalent (FTE) for the current and future workforce of generalists and to extrapolate FTE for all active SSGIM members. To model the demand by 2033, we derived different scenarios. RESULTS: Of all 6,232 active SSGIM members, 2,030 (33%) participated: 46% female, 25% (largest age group) 56-65 years old, 19% still in postgraduate training. The average workload in 2023 was 78% for female and 87% for male generalists; the FTE extrapolated to all active SSGIM members in 2023 was 5,246. By 2033, 1,935 FTEs (36%) will retire, 502 FTEs (10%) will reduce their workload, 116 FTEs (2%) will increase their workload and 2,800 FTEs (53%) will remain in the workforce with the same workload as in 2023. To maintain the same workforce as in 2023, 2,321 new FTEs (44%) will be needed by 2033. To fill this gap of 232 FTE new generalists per year, we modelled different scenarios with assumptions of interest, workload, migration and dropouts. CONCLUSIONS: Within only one decade, 44% of the current workforce of generalists will disappear, mainly due to retirement and decreased workload. To fill this gap, various scenarios need to be incorporated. Politicians are called upon to create the political framework to create attractive training and working conditions for generalists to address the future demand for healthcare services.

Published
2024
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19. Cyclic dynamics drive summer movement ecology of snowshoe hares (Lepus americanus)

Author

Hannah A. Miller, Jenilee Gobin, Melanie R. Boudreau, Liam G. Horne, Lee E. Scholl, Jacob L. Seguin, Samuel Sonnega, Charles J. Krebs, Rudy Boonstra, Alice J. Kenney, Thomas S. Jung, Stan Boutin, and Dennis L. Murray

Subjects
breeding season, home range, movement ecology, behavior, predation risk, boreal forest, Evolution, QH359-425, Ecology, QH540-549.5
Abstract

Animals exhibit dynamic movement and activity in response to environmental variation including changes in reproductive opportunities, predation risk, or food availability. Yet, it remains unclear which factors are primary in affecting animal movement, and whether the relative importance of these factors are consistent through time. We tracked snowshoe hares (Lepus americanus) using GPS telemetry during eight summers spanning a hare population cycle (2015–2022) in southwestern Yukon, Canada, to determine associations between environmental variation and hare movement and home range size. Hare density varied 25-fold during the study and home range size increased markedly during low hare density, especially for males. Both sexes retained similar core space use and linearity of movements, but at low densities males had greater and more variable movement rates and time spent travelling. Trail cameras revealed that annual changes in hare movement were also correlated with relative abundance of lynx (Lynx canadensis) and coyotes (Canis latrans). However, hare detection rates within a season were not closely associated with seasonal variation in predator detection. Observed differences between male and female hares in some metrics highlighted that different life histories and reproductive behavior are likely the main drivers of hare movement dynamics. Therefore, fitness rewards associated with successful mate search and reproduction appear to outweigh risks associated with increased movement, even in highly variable environments where costs of prioritizing reproduction-related activities are notably high and variable.

Published
2024
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22. Costs of seasonal influenza vaccine delivery in a pediatric demonstration project for children aged 6–23 months — Nakuru and Mombasa Counties, Kenya, 2019–2021

Author

Gharpure, Radhika, Akumu, Angela Oloo, Dawa, Jeanette, Gobin, Stacie, Adhikari, Bishwa B., Lafond, Kathryn E., Fischer, Leah S., Mirieri, Harriet, Mwazighe, Henry, Tabu, Collins, Jalang'o, Rose, Kamau, Peter, Silali, Catherine, Kalani, Rosalia, Oginga, Pauline, Jewa, Isaac, Njenga, Virginia, Ebama, Malembe S., Bresee, Joseph S., Njenga, M. Kariuki, Osoro, Eric, Meltzer, Martin I., and Emukule, Gideon O.

Published
2024
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23. Reduction of Total Phenols in Virgin Olive Oil as a Preservation Medium during Cold Storage of Whey Cheese and Tofu

Author

Valerija Majetić Germek, Ivana Gobin, Doris Franjković, Marija Marković, and Olivera Koprivnjak

Subjects
virgin olive oil, whey cheese, tofu, total phenols, Fast Blue BB test, Biotechnology, TP248.13-248.65, Food processing and manufacture, TP368-456
Abstract

Research background. Virgin olive oil, known as a good source of health-promoting hydrophilic phenols, is traditionally used as a medium for preserving various foods. Phenols in general can form complexes with proteins, but there is little information on the direct contact of virgin olive oil with protein-rich food during long-term storage. In this study, the dynamics of the decline of total phenols in oil used as preservation medium for a traditional (whey cheese skuta) and a modern product (tofu) were compared. Experimental approach. Pieces of skuta or tofu immersed in virgin olive oil at different food-to-oil mass ratios were stored in the refrigerator for up to 21 days. The oil quality indices, water content and the total count of aerobic mesophilic bacteria in the immersed materials were monitored. To determine the total phenols in the oil, the optimal conditions of the Fast Blue BB test, which is a suitable alternative to the standard method, were tested and selected. Results and conclusions. The effect of both materials on the indicators of hydrolytic and oxidative deterioration of the oil is almost identical (a gradual decrease), which is most likely due to the continuous release of water from the immersed food. A sharp decrease in total phenols in the oil (by about 50 %) after seven days of storage in contact with both materials indicates a combination of causes (water-to-oil migration and phenol-protein interactions). The form of the rational function is highly representative of the decrease in total phenols during the first seven days of tofu/oil storage, indicating a very rapid interaction with tofu proteins. The preservative effect of virgin olive oil in terms of microbiological spoilage was not observed. Novelty and scientific contribution. The results of this study contribute to the knowledge on the dynamics of phenol-protein interactions and emphasise the need for further investigations on traditional or newly used protein-rich foods preserved in direct contact with virgin olive oil, taking into account possible changes in the functional, nutritional and sensory properties of phenols and proteins.

Published
2024
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24. A Green's function for the source-free Maxwell equations on $AdS^5 \times \mathbb{S}^2 \times \mathbb{S}^3$

Author

Gobin, Damien and Kamran, Niky

Subjects
Mathematics - Analysis of PDEs, Mathematical Physics, Mathematics - Spectral Theory, Primaries : 81U40, 35P25, Secondary : 58J50
Abstract

We compute a Green's function giving rise to the solution of the Cauchy problem for the source-free Maxwell's equations on a causal domain $\mathcal{D}$ contained in a geodesically normal domain of the Lorentzian manifold $AdS^5 \times \mathbb{S}^2 \times \mathbb{S}^3$, where $AdS^5$ denotes the simply connected $5$-dimensional anti-de-Sitter space-time. Our approach is to formulate the original Cauchy problem as an equivalent Cauchy problem for the Hodge Laplacian on $\mathcal{D}$ and to seek a solution in the form of a Fourier expansion in terms of the eigenforms of the Hodge Laplacian on $\mathbb{S}^3$. This gives rise to a sequence of inhomogeneous Cauchy problems governing the form-valued Fourier coefficients corresponding to the Fourier modes and involving operators related to the Hodge Laplacian on $AdS^5 \times \mathbb{S}^2$, which we solve explicitly by using Riesz distributions and the method of spherical means for differential forms. Finally we put together into the Fourier expansion on $\mathbb{S}^3$ the modes obtained by this procedure, producing a $2$-form on $\mathcal{D}\subset AdS^5 \times \mathbb{S}^2 \times \mathbb{S}^3$ which we show to be a solution of the original Cauchy problem for Maxwell's equations.

Published
2022

25. Flexible Learning Space Choice Model (FLSCM) for Student Engagement and Satisfaction

Author

Gobin, Diana Devika

Abstract

Adequacy of classroom learning spaces at the University of Guyana has historically been a challenge the institution faces. However, the coronavirus disease of 2019 (COVID-19) pandemic lessened the problem when the University of Guyana responded to the crisis by making rapid adjustments to continue operations online and to remain competitive while offering high-quality education. I created and implemented a flexible learning space choice model (FLSCM) to address the issues of inadequate physical learning spaces and the needs and preferences of contemporary students in the post-pandemic reality. The study used a concurrent mixed methods action research (MMAR) design to examine students' perceptions of the model and the extent of the differences in student engagement and satisfaction with the teaching model. I collected quantitative data using an online questionnaire and qualitative data using one-on-one semi-structured online interviews. I used thematic analysis to analyze the qualitative data. I also analyzed the quantitative data using descriptive and inferential statistical analysis, including bivariate correlation, independent samples t-tests, and factorial multivariate analysis of variance (factorial MANOVA). The results indicate that students perceived the FLSCM as suitable for facilitating learning, student engagement, and satisfaction. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2023

26. The accomplishment of the Engineering Design Activities of IFMIF/EVEDA: The European Japanese project towards a Li(d,xn) fusion relevant neutron source

Author

Knaster, J., Ibarra, A., Abal, J., Sena, A. Abou, Arbeiter, F., Arranz, F., Arroyo, J. M., Bargallo, E., Beauvais, P. Y., Bernardi, D., Casal, N., Carmona, J. M., Chauvin, N., Comunian, M., Delferriere, O., Delgado, A., Arocas, P. Diaz, Fischer, U., Frisoni, M., Garcia, A., Garin, P., Gobin, R., Gouat, P., Groesche, F., Heidinger, R., Ida, M., Kondo, K., Kikuchi, T., Kubo, T., Tonqueze, Y. Le, Leysen, W., Mas, A., Massaut, V., Matsumoto, H., Micciche, G., Mittwollen, M., Mora, J. C., Mota, F., Nghiem, P. A. P., Nitti, F., Nishiyama1, K., Ogando, F., hira, S. O, Oliver, C., Orsini, F., Perez, D., Perez, M., Pinna, T., Pisent, A., Podadera, I., Porfiri, M., Pruneri, G., Quera, V., Rapisarda, D., Roman, R., Shingala, M., Soldaini, M., Sugimoto, M., Theile, J., Tian, K., Umeno, H., Uriot, D., Wakai, E., Watanabe, K., Weber, M., Yamamoto, M., and Yokomine, T.

Subjects
Physics - Accelerator Physics
Abstract

The International Fusion Materials Irradiation Facility (IFMIF), presently in its Engineering Validation and Engineering Design Activities (EVEDA) phase under the frame of the Broader Approach Agreement between Europe and Japan, accomplished in summer 2013, on schedule, its EDA phase with the release of the engineering design report of the IFMIF plant, which is here described. Many improvements of the design from former phases are implemented, particularly a reduction of beam losses and operational costs thanks to the superconducting accelerator concept, the re-location of the quench tank outside the test cell (TC) with a reduction of tritium inventory and a simplification on its replacement in case of failure, the separation of the irradiation modules from the shielding block gaining irradiation flexibility and enhancement of the remote handling equipment reliability and cost reduction, and the water cooling of the liner and biological shielding of the TC, enhancing the efficiency and economy of the related sub-systems. In addition, the maintenance strategy has been modified to allow a shorter yearly stop of the irradiation operations and a more careful management of the irradiated samples. The design of the IFMIF plant is intimately linked with the EVA phase carried out since the entry into force of IFMIF/EVEDA in June 2007.

Published
2021
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27. Dynamics of water and ethanol in graphene oxide

Author

Acharya, Gobin R., Tyagi, Madhusudan, Mamontov, Eugene, and Hoffmann, Peter M.

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

We utilized the momentum transfer(Q)-dependence of Quasi-Elastic Neutron Scattering (QENS) to reveal the dynamics of water and ethanol confined in Graphene Oxide (GO) powder or membranes at different temperatures and in different orientations. The dynamics was measured across different length and time scales using several spectrometers. We found reduced diffusivities (up to 30\% in the case of water) and a depression of the transition temperatures. While water showed near Arrhenius behavior with an almost bulk-like activation barrier in a temperature range of 280-310 K, the diffusivity of ethanol showed little temperature dependence. For both water and ethanol, we found evidence for immobile and mobile fractions of the confined liquid. The mobile fraction exhibited jump diffusion, with a jump length consistent with the expected average spacing of hydroxide groups in the GO surfaces. From anisotropy measurements, we found weak anisotropy in diffusion, with the surprising result that diffusion was faster perpendicular to membrane than parallel to it., Comment: 10 pages; 7 Figures

Published
2021

30. Suicide Ideation and Self-Harm Behaviors in First-Year Dormitory Students at a Public Midwestern University: A Pilot Study

Author

Hillary Sandra Klonoff-Cohen PhD, MS, Auroraleigh Cohen BS, Robyn L. Gobin PhD, MS, Mounika Polavarapu PhD, MPH, Ryan Allen BS, Swetha Reddy MS, and Chandana Vuyyuru MPH

Subjects
Psychiatry, RC435-571
Abstract

Purpose: Currently, 1 in 5 college students struggle with suicidal ideation while 7% to 44% engage in nonsuicidal self-injury. Illinois has one of the highest teenage and college student suicide rates in the United States. This pilot study assessed suicide ideation and self-harm behaviors at a public Illinois university. This is the first study to use 5 standardized psychological instruments to investigate these 2 crises in freshmen college students who are all required to reside in dormitories. The main hypothesis was to determine if the independent effects of freshmen students’ depression, Five-Factor Model, and Reasons for Living affected the dependent variables, self-harm behaviors and suicide ideation. Methods: Forty first-year college dormitory students completed the Beck Depression Inventory-II, Scale of Suicidal Ideation, Five-Factor Model, Inventory of Statements About Self-Injury, and Reasons for Living Scale in person. Results: Participants were 18 to 19 years old, predominantly female (65%), and non-White (62%). Forty percent reported self-harm behaviors and 19% reported suicidal ideation. The top reasons for contemplated suicide attempts included the inability to solve problems (33%) and attention/revenge (28%). Students experienced high levels of anxiety (55%), self-consciousness (43%), and depression (18%). Depression was associated with suicide ideation (β = 0.05, P = .006), while neuroticism and openness were associated with self-harm behaviors ( aOR = 3.36, P = .02, aOR = 0.48, P = .047, respectively). Ninety-five percent reported “responsibility to family” as a Reason for Living. Conclusions: Preliminary evidence necessitates an examination of self-harm and suicide ideation among all freshmen, investigating both risk and protective factors. In the future, a prevention intervention should be implemented campus-wide (and eventually nationwide) for all first-year dormitory students to enhance their mental well-being.

Published
2024
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31. Spatio-temporal dynamics of plastic mulch use in crop rotation at parcel and regional scales

Author

Elsy Ibrahim and Anne Gobin

Subjects
Plastic mulch, Soil management, Crop rotation, Sentinel-2, Sequence analysis, Spatio-temporal patterns, Physical geography, GB3-5030, Environmental sciences, GE1-350
Abstract

Plastic mulch is increasingly used in agriculture due to its short-term benefits, while long-term risks of plastic accumulation in soil is a growing concern. An analytical methodology is presented to quantify plastic mulch usage based on location, timing, and crop type, at parcel and regional scales. Multispectral Sentinel-2 data identified plastic mulch use between 2017 and 2021 with an F1 score of 0.7. Historical patterns of mulch use and crop rotation were explored through sequence analysis, and enabled predictions and likelihood of occurrence of plastic mulch for the year 2022. Silage maize followed by asparagus and carrots are the most prevalent crops utilizing plastic mulch. Successive cropping of silage maize on the same parcel was detected on 70 % of parcels, surpassing 40 % of successive cropping for four continuous years. Successive asparagus crops on the same plot, often alternating with spinach and carrots, also occurs. Crop forecasting reached an accuracy of 0.76 when up to 10 potential crop predictions for each historical sequence were permitted. The prediction of the likelihood of plastic mulch improved with fewer permitted predicted crops (

Published
2024
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32. Distribution and morphology of the diatom genus Olifantiella Riaux-Gobin & Compère in Indonesian and Australian waters, including the description of O. gondwanensis sp. nov.

Author

Mateusz Rybak, Sulastri Arsad, Catherine Riaux-Gobin, Oktiyas Muzaky Luthfi, Gustaaf Hallegraeff, Renata Ciaś, Agnieszka Kierzek, and Andrzej Witkowski

Subjects
Botany, QK1-989
Abstract

Samples from coastal tropical waters of Central Sulawesi, Bangka Island and Bawean Island in Indonesia and from the Great Barrier Reef at Fitzroy Island in Queensland, Australia were analysed for species composition of diatom assemblages with a focus on Olifantiella. Whereas samples from Fitzroy Island littoral in Australia retrieved only one species of Olifantiella, in Poso Bay, Indonesia, we observed at least six species. All established taxa were documented with light (LM) and scanning electron microscope (SEM) and principal component analysis (PCA) analysis was used to compare the species, based on the basic valve parameters of length, width, length to width ratio and striae density. A new species of the genus Olifantiella, O. gondwanensis is described from Australia. In addition, we showed the distinct nature of O. pilosella var. rhizophorae permitting to species status. Particular attention is placed on girdle bands in this genus.

Published
2023
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33. Self-Management Ability Questionnaire Validation in Portuguese Adults With Periodontitis

Author

Eloïse Gobin, Catarina Izidoro, Patrícia Lyra, Mariana Morgado, Ricardo Castro Alves, José João Mendes, João Botelho, and Vanessa Machado

Subjects
Periodontitis, Periodontal disease, Self-management, Medical management, Patient-reported outcomes, Dentistry, RK1-715
Abstract

Objectives: We aimed to test the psychometric validity of the adapted and translated Self-Management Ability Questionnaire-Short Form (SMAQ-12) to Portuguese. Methods: The translation and adaptation of the SMAQ-12 followed international guidelines. We included 280 participants with chronic periodontitis from the Department of Periodontology of the Egas Moniz Dental Clinic. Participants completed the Portuguese version of the SMAQ-12 (SMAQ-12-PT), a 12-item scale with 3 conceptual domains (Role Management, Medical Management, and Emotional Management). The validity of the content, its construct and internal consistency, as well as test–retest reliability were used to estimate psychometric properties. Results: The SMAQ-12-PT showed an interclass correlation coefficient value of 0.90, with a 95% confidence interval (0.79–0.95; P < .001) and high reliability (Cronbach alpha coefficient ranging between 0.78 and 0.94). Confirmatory factor analysis revealed adequate model fit, with comparative fit index of 0.853, goodness-of-fit of 0.947, and a 0.052 value of root mean squared error of approximation. Conclusions: The SMAQ-12-PT was found to be a valid and reliable instrument in the Portuguese population. Disease management representation for the specialty of periodontology and its impact on periodontal schedules and practices should be evaluated in future studies.

Published
2023
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34. Advancing interdisciplinary knowledge for ocean sustainability

Author

Catarina Frazão Santos, Tundi Agardy, Denis Aheto, Edward H. Allison, Nathan J. Bennett, Jessica L. Blythe, Helena Calado, Larry B. Crowder, Jon C. Day, Asha de Vos, Wesley Flannery, Ibon Galparsoro, Elena Gissi, Kristina M. Gjerde, Judith F. Gobin, Stephanie Green, Moenieba Isaacs, Selma T. Karuaihe, Amanda T. Lombard, Priscila F. M. Lopes, Elena Ojea, Michael Orbach, Gretta Pecl, Andrea Reid, Marinez Scherer, Austin J. Shelton, Temitope O. Sogbanmu, Sebastián Villasante, Lisa Wedding, and U. Rashid Sumaila

Subjects
Oceanography, GC1-1581, Environmental sciences, GE1-350
Published
2023
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38. Expected effects of climate change on the soil organic matter content related to contrasting agricultural management practices based on a crop model ensemble for locations in Czechia

Author

Pohanková, E., Hlavinka, P., Kersebaum, K.C., Nendel, C., Rodríguez, A., Balek, J., Dubrovský, M., Gobin, A., Hoogenboom, G., Moriondo, M., Olesen, E.J., Rötter, R., Ruiz-Ramos, M., Shelia, V., Stella, T., Hoffmann, M.P., Takáč, J., Eitzinger, J., Dibari, C., Ferrise, R., Bohuslav, J., Bláhová, M., and Trnka, M.

Published
2024
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40. Outcomes after surgery for children in Africa (ASOS-Paeds): a 14-day prospective observational cohort study

Author

Torborg, Alexandra, Meyer, Heidi, El Fiky, Mahmoud, Fawzy, Maher, Elhadi, Muhammed, Ademuyiwa, Adesoji O, Osinaike, Babatunde Babasola, Hewitt-Smith, Adam, Nabukenya, Mary T, Bisegerwa, Ronald, Bouaoud, Souad, Abdoun, Meriem, El Adib, Ahmed Rhassane, Kifle Belachew, Fitsum, Gebre, Meseret, Taye, Desalegn Bekele, Kechiche, Nahla, Fadalla, Tarig, Abdallah, Bareeq, Chaibou, Maman Sani, Nyarko, Mame Yaa Adobea, Ki, Kélan Bertille, Shalongo, Sarah, Mulwafu, Wakisa, Thomson, Emma, Traore, Mamadou Mour, Ndonga, Andrew, Bittaye, Mustapha, Samateh, Ahmadou Lamin, Munlemvo, Dolly M., Kalongo, Jean Jacques, Coulibaly, Yacaria, Coulibaly, Youssouf, Ravelojaona, Vaonandianina, ANDRIAMANARIVO, Lalatiana, RAHERISON, Arsitide Romain, RANDRIAMIZAO, Harifetra Mamy Richard, RAMKALAWAN, Kushal, Omar, Mohamed Abdinor, Ndikontar, Raymond, Joseph, Donamou, Dahir, Shukri, Mohamed, Mubarak, Ali Daoud, Hassan, Ndarukwa, Pisirai, OTIOBANDA, Gilbert Fabrice, Banguti, Paulin, Neil, Kara, Derbew, Miliard, Fanny, Marvin, Smalle, Isaac, Taylor, Elliott H, Duvenage, Hanel, Hardy, Anneli, Kluyts, Hyla, Pearse, Rupert, Biccard, Bruce, AARON, Olurotimi Idowu, Abd Elazeem Mohammed, Hossam Aldein Samir, Abdalkarim, Batool, Abdalla, Abubaker, Abdallah, Mohamed Abubaker Ahmed, Abdeewi, Saedah, Abdel Ghafar, Taqwa, Abdelaleem, Ali, Abdelaleem, Ibrahim Abdelmonaem, Abdelgader, Khansaa, Abdelgadir, Waffa, Abdelhafez, Mohammed, Abdelhalim, Ahmed, Abdelkabir, Mohammed, Abdelkader Osman, Mohamed, Abdelkarim, Maha, Abdelkarim, Mohamed, Abdelmohsen, Sarah Magdy, Abdelnassir, Mazin, Abdelrahman, Ahmed Saber Mohamed, Abdelwahed, Aya Elsayed, Abdelzaher, Mohamed, Abderrahim, Baba Ahmed, Abdoulaye, Touré, Abdulai, Samira, Abdulghaffar, Yunus A., Abdullah, Fatimaalzahraa, Abdullahi, Lawal Barau, Abdullahi, Muzammil, Abdulrazik, Sarah, Abdulsalam, Khalifa Ibrahim, Abdulwahed, Eman, Abdus-Salam, Rukiyat, ABE, TOLUSHE, Abera Mulugeta, Gersam, Aboelghait, Aml Ali, Abol Oyoun, Nariman, Aboubekr, Boumediene, Abraham, Meera, Abu, Mohammed, Abuagila, Ahlam ali, Abubakar, Maimuna, Abugilah, Mohammed, Abuzeid, Issa A, Achouri, Djelloul, Acquah, Serwah Akua, Adam, Nusiba Bushra Ahmed, ADAMU, AUWAL, Adamu, Kabir Musa, ADAMU, MUHAMMAD, ADAMU, Sani, Adane, Samuel Gashu, Adeaga, Mojolaoluwa, Adebayo, Sikiru, Adedire, Adejare, Adegoke, Paul Aderemi, Adeniyi, Adebayo Augustine, Adeoye, Ibukunoluwa, Aderibigbe, Gbenga, ADEROUNMU, Azeezat, ADEYEMI, WILLIAMS, ADEYEMO, Adekunle, Adigun, Tinuola, Adika, Enoch Delad, ADISA, Adewale O, Adjei, Esther, Adjepong-Tandoh, Ernest Kwame, Ads, Alaa Mohamed, ADUMAH, Dr Collins Chijioke, ADUMAH, Lilian ogechi, Adzamli, Innocent, Afari, Jonas, Afedo, Wisdom, Affan, Abubaker, AFOLAYAN, Ayodeji Olawale, Agaba, Stuart, Agbeno, Evans, Agbonrofo, Peter, Aghadi, Ifeanyi, AGU, EDITH, Agyen, Thomas, Agyen-Mensah, Kwasi, Ahensan, Daasebre, Ahmad, Misbahu Haruna, AHMED, Awrayit, Ahmed, Linda, Ahmed, Nidal Youseef Altaher Aboh, Ahmed, Rubaa, Ahmed Jroush, Mohamed, ahmed maghur, Hasan, AHOGNI, G.N. Geofroid, Ait Yahia, Smain, Aji, Narjiss, Aji, Sani Ali, Akerele, William, Akhideno, Irene, Akinmokun, Israel, AKINNIYI, Akin Taofeek, Akinniyi, Ayodeji, AKINYEMI, Samuel, Akitoye, Olumide Adeleke, AKPAETTE, Iniofon Clement, Akuma, Terungwa Jacob, Akuokor, Daniel, Akwei, Clement Nii-Akwei, Al Bashir, Rayan Badran Hamed, Al Gharyani, Mohamed Fathi, al Islam ben Jouira, Rayet, Aladelusi, Timothy, Alakaloko, Felix, Alameen, Hind, Alameen Moheyaldeen, Mohammed, Alaogaly, Mona, Alarabi, Rehab, Alawami, Milud, Alazabi, Basma Masaud, Alazabi, Mona, Albakosh, Bashir Abobaker, ALBDULRRAZIQ, HUSAYN MOHAMMED ElFEETOURI, Aldieb, Asmma, Aldressi, Wafa, Alegbeleye, Godwin E., Alfa, Yakubu, Alhadad, Qamrah, Alhaddad, Arwa R, Alhaddad, Hayfa Faraj, Alhadi, Aliya, Alhamali, Aya, Alharam, Abtisam, Alhlafi, Majduldeen, Alhouwasi, Basmah, Alhudhairy, Sara, Ali, Abdallah Motasim Ahmed, Ali, Ahmed Jama, Ali, Almuaz, Ali, Asma, Ali, Enas, Ali, Mutwakil, Ali, Salem, Ali, Yunusa Y., Ali Ahmed, Abdelbaset, Aliozor, Sampson, Aljamal, Sarah, Alkaseek, Akram, Alkhalifa, Elmustafa, Alkoni, Samah, Allie, Abbaas, Almelyan, Khawla, Almugaddami, Ayman, Almujreesi, Asmaa, Alqady, Eithar, Alragheai, Alaa Ahmed, Alshareea, Entisar, Alshareef, Abulnasir, Alsori, Mohamed, Altomy, Seham Ahmed, Al-Touny, Aiman, Al-Touny, Shimaa A., Alum Aguma, Rachel, Alwaer, Nuha Miftah, Al-zletni, Hadeel, Alzwai, Marwa, Amaambo, Nelago, Amah, Christopher C, Amary, Marwa, Amengle, Ludovic Albert, Amesho, Shiwana Lineekela Omwene, Ametepe, Mawuli, Amkhatirah, Emad, Amnaina, Mohamed Gamal, Amoah, Benjamin, Amoah, Joseph Kofi, Amo-Aidoo, Nana Adjoa Simitsewa, Amoako-Boateng, Mabel, Ampong, Jude, Anane-Fenin, Betty, Anarfi, Samuel, Andriamanarivo, Mamy Lalatiana, Aniakwo, Luke, Aniteye, Ernest, Ankrah, Levi Nii-Ayi, Anno, Audrey, Anyanwu, Lofty-John Chukwuemeka, Anyigba, Edem, Appeadu-Mensah, William, Appiah-Thompson, Peter, Apraku-Peprah, Ewuarabena Lydia, Aremu, Shuaib Kayode, Arinaitwe, Moses, Armah, Ralph, Arthur, Augustine, Arthur, Douglas, Asah-Opoku, Kwaku, Asante, Mabel, Asante-Asamani, Alvin, Asare, Angbo, Asasira, Lausa, Ashfersh, Mohamed, ASHINDOITIANG, John A., Ashong, Joycelyn, Ashraf Salah, Mohamed, Asiedu, Charles, Asiedu, Isaac, Asiyanbi, Kolawole, Asla, Amir, Asman, Wilfred, Asoegwu, Emeka J., Assalhi, Mohamed, Assim, Claudia, Asudo, Felicia Dele, Atai, Alice Gertrude, Ateeqa, Sara Bin, Atim, Terkaa, Atindama, Solomon, ATIQUI, IJLAL, Atrih, Zoubir, Attah, Raphael Avidime, Awad, Ahmed K, Awedew, Atalel Fentahun, Aween, Husayn, Awere-Kyere, Lawrence, Awindaogo, Joseph, Awori Achani, Margaret, Ayad, Kusay, Azab, Ahmed, Azas, Alberta, Aziza, Bochra, Azize, Diallo Abdoul, AZOUI, Abdelkrim, Azouz, Jomana, Baba, Suleiman, Babalola, Olakunle Fatai, Babiker, Mona, Baddoo, Daniel, Badi, Aml, BADMUS, Sarat Abolore, Badr, Helmy, Bah, Abdoulie, Bah, Fatoumata Yakhie, Bah, Kajali, Bah, Marma Tumaneh, Bahroun, Sumayyah, Baidoo, Ebikela, Baidoo, Kenneth, Baidoo, Richard, Bakare, Adewumi, Bakeer, Hiba Baliad, Baky Fahmy, Mohamed A, Balogun, James, Bamigboye, Babatunde, Bankah, Patrick, Banson, Mabel, Barhouma, Yehia Emad, Barongo, Mugisha, BASHIR RABIU, MOHAMMED, Bassem, Adham, Bedair, Mohamed Adel Ali, Beeharry, Hemanshu Rambojan, Beeharry, Shanjugsing, Bekele, Sintayehu, Belie, Orimisan, Belkhair, Abdulmunem, Ben Ahmed, Yosra, Ben Ashur, Abir, Ben Hamida, Bahaeddin, Benade, Christia, BENMANSEUR, Sawsen, Bensebti, Amina Amel, BERDAI, Mohamed Adnane, Beyuo, Vera, Biala, Marwa, Bilson-Amoah, Estella, Bin wali, Salema Subhi, Binnawara, Muhannud, Birlie Chekol, Wubie, Birqeeq, Ghada, Biyase, Thuli, Blankson, Paa Kwesi, Boakye, Benedict, Boakye-Acheampong, Kwame, Boakye-Yiadom, Kwaku, Boateng, Joseph, Bobaker, Salem, Bode, Christopher, Bogoslovskiy, Alexander, Bolarinwa, Eniola Sefiu, Boretti, Lorenzo, Botchway, Maame Tekyiwa, Botha, Christo, BOUDA, B. David, BOURENANE, Haithem, BOUZBID, Sabiha, Boye, Jeffrey, Branny, Mthelebofu, Brown, George Darko, Brown, Warren, Bua, Emmanuel, BWALA, KEFAS JOHN, Camara, Bakary, Camara, M'mah Lamine, Carol, Tisana, Ceesay, Winston, Chafee, Karim, Chaklie Agegnehu, Bewuketu, Chamir, Congo, Chaziya, Peter YC, Chellan, Chantal, Cheniki, Narimane, Chennouf, Sarra, Chepkoech, Eglah, Chilango, Creamy, Chinda, John Yola, Chokwe, Thomas M., Choutri, Hichem, Christian, Nana Ama, Chukwu, Isaac, Chummun, Girish, Cilliers, Celeste, Cloete, Estie, Collison, Carol, Cronje, Larissa, Daary, Dennis, DAD, Bouzid, Daddy, Hadjara, Dahilo, Enoch Auta, Dairam, Jenitha, Dalaf, Manar Salim, Damson, Pempho, Daneji, Sulaiman Muhammad, Daniel, Adekunle, Daoud, Asmaa, Daoud, Hassan, Darat, Tarik Darat, Darko, Kwadwo Opoku, Darko, Kwame, Davidson, Kerryn, Davies, Abigail, Dawang, Yusuf Davou, Dayal, Kishan, Dayie, Makafui, de Goede, Adele, Deelawar, Bibi Waardanaaz, Derwish, Khawla, Desalu, Ibironke, Dessalegn Beza, Andinet, Dhege, Celestino, Dhilraj, Deepika, Diallo, Thierno Sadou, Diaw, Mbaye, Diaw Diop, Amadou, DIENE, Mansour, Dieng, Mactar, Dippenaar, Tinus, Djagbletey, Robert, Djedid, Nihel Klouche, Djouonang, Kamga Telly, Dominique, Shep, Drammeh, Basiru, Drissi, Hajer, du Bruyn, Aritha, Dube, Thandeka, Dufe, Rebecca, Dung, Dido, Earl, Ettiene, Ebrahem, Osama Khalifa Ali, Ebrahim, Zahier, Edena, Morrison E., Effa Ngono, Rosa, Egbuchulem, Kelvin, Egdeer, Amin, Eguma, Stella A., Ehimhantie, Martins, EJIOFOR, Ogochukwu Chidi, Ejuma, Lucy O., Ekenze, Sebastian, Ekhmaj, Reyad Almokhtar, Ekor, Oluwayemisi, EKPA, Sifonobong, Ekpemo, Chidi Samuel, Ekudo, Joseph, Ekwunife, Okechukwu Hyginus, El Koraichi, Alae, El Magrahi, Hamida, El Mejrab, Mohsen, El Sadek, Rania, El YOUBI, Haitam, Eladani, Oman, Elamesh, Sara Abdel Hamid, Elamien, Mohanad, Elamin Elnour, Moheyaldien Ahmed, Elbadawy, Merihan A, Elbaseet, Hesham, Elderwy, Ahmad A., Elebute, Olumide, Elgamal, Mostafa, Elgenidy, Anas, Elghareeb, Ahmed, Elgherwi, Laila, Elhadad, Rasha, Elhadi, Ahmed, Elhassan, Mohamed, Elkhouly, Abdallah Mohamed, Ellebedy, Mohamed, ELMAJRI, MOHAMED FUAD, Elmandouh, Omar, Elmandouh, Reem, Elmorsi, Rami, ELOMBILA, Marie, Elsadek, Menan, Elsalhawy, Shady, Elsayem, Karam, Elshafiey, Mahmoud, El-Sharkawi, Mohammad, Elshazly, Mohamed, Eltaub, Darine, Eltayeb, Almoutaz A, Eltayeb, Mohammed Eltayeb Zainelabdean, Eltegani Abdalla, Abeer, ElWakeel, Mai, Embu, Henry, Emoru, Arthur, Enicker, Basil, Enti, Donald, Entsua-Mensah, Kow, Eseile, Samuel Ideyonbe, Essuman, Vera Adobea, Et-taghy, Hiba, Etwire, Victor, Eyaman, Kuba Daniel, Ezbeida, Mabroukah, EZEKIEL, ANTHONY SABO, Ezidiegwu, Stanley Ugochukwu, Ezomike, Uchechukwu Obiora, FABOYA, Omolara, Fadlalmola, Hammad.A., FAGBAYIMU, Oluwatobiloba Micheal, Faida, Hamza, FALL, Khady, Farahat, Sherif, Faraj, Ali, Faraj, Noora, Farghaly, Amal, Farhat, Karima Omar Ahmed, Farinyaro, Aliyu Umar, Fathi Bani, Ghada, Fattah, Ahmed, Fening, Nana, Fentahun Emrie, Assefa, Fidieley, Melody, Fikadu Keneni, Dame, Fischer, Monique, Flint, Margot, Fodo, Naledi, Fofana, Naby, Fokeerah, Nitish, Folami, Emmanuel, Folokwe, Siyasanga, Fonternel, Doors, Fosi Kamga, Gacelle, Fotso, Luc Kamga, Fourtounas, Maria, Frankish, Leanne, Gabier, Ilhaam, Gacii, Vernon M., Gaffoor, M Sheik, Gagara, Moussa, GALADIMA, Hajara Aminu, Gamubaka, Richard, Ganey, Mike, Ganiyu, Oseni Oyediran, Gasa, Nompumelelo, Gatheru, Antony P., Gawu, Victoria Sena, Gaya, Subha Shita Devi, GAYE, Ibrahima, Gebremichael Ganta, Ashagre, Gelaw, Kassahun Girma, Geldenhuys, Lieze, Getachew Tegegn, Ayenachew, Ghemmied, Malak, Ghmagh, Reem, GILES, AHEREZA, Ginsburg, Ricky Ginsburg, Girma, Kassahun, Gjam, Fatima, Glover-Addy, Hope, Gobin, Veekash, Gomeh, Patricia, Gomez, Dimingo, Gorelyk, Alexandro, Gossaye, Abay, Govender, Veneshree, Grant, Jenny, Grayson, Britney L., Grobbelaar, Mariette, Gueye, Khadim Rassoul, GUIRO, Habibou, Gumede, Simphiwe, Gurure, Desire, Gusibat, Anwar, Gyeke-Boafo, Nana Kwame, HACHEMI, Sihem, Haddis, Kullehe, Haidar, Arwa, Haif, Assia, Hameed-Ikram, Sarwat, Hamid, Haytham, Hamukwaya, Dilona, Hanson, Nana Andoh, Hanzi, Joseph, Hardcastle, Timothy, Harissou, Adamou, Hasan, Ameerah, Hasan, Hayat Ben, Hasan, Najat Ben, Hashi, Abdullahi Said, Hashish, Amel A, Hassaan, Ibrahim, Hassan, Sadiq, Hassan, Sakariye Abdullaahi, Hassan, Tasneem, Hassan, Zeinab, Hassane, Maman Lawal, Hassanein, Mohamed, Hawu, Yoli, Haywood, David, Heelan, Halima, Hendricks, Natalie, Hillah, Ayayi, Hlela, Qinisile, HMAMOUCHI, Badreddine, Hoko, Zanele, Honny, Dorothy, Honore, Samba, Houidi, Senda, Human, Thys, Hussain, Eiman, Hussain Kona, Moataz Hashim, Hussein, Yara, Ibekwe, Titus Sunday, Ibiyemi, Akeem, IBIYEYE, TAIBAT, Ibrahim, Ibrahim Ali, Ibrahim, Lawal Ibrahim, Ibrahim, Soaleh, Ibrahim Abubakar, Amina, Ibrahim Alain, Traore, Idipo, Frieda, Idoko, Godwin, Idowu, Olusola, Idris, Mohammad El-Amin, Igaga, Elizabeth Namugaya, Iindongo, Etuuva, IITULA, Petrus, IKOTUN, Oluwafunmilayo, ILLE, Gloria, Imposo, Desire Hubert, Invernizzi, Jonathan, Irungu, Eric, Isbayqah, Areej Mohammed, Isbayqah, Eenas Mohammed, Ismael, Guibla, Ismail, Ali M, Itambi, Asoh Maxwell, Jabang, John Nute, Jaga, Rudhir, Jaganath, Ushir, Jaiteh, Lamin, Jallow, Cherno S, James, Olutayo, Javed, Sayed, Jithoo, Sandhya, Jlidi, Said, Joel, Lessan, Johnson, Marianne, JONES, TAIWO, Jooma, Zainub, Joomye, Shehzaad, Joosab, Mehboob, JOUINI, Riadh, Jubail, Mohamed J, Juggoo, Chaya, Jumbi, Timothy Mwai, Kaabar, Nejib, Kabirou, Mourtala, Kabiru, Abdulkadir Muhammad, Kabre, B. Yvette, Kache, Stephen, Kacimi, Salah Eddine Oussama, KADAS, ABUBAKAR SAIDU, KAHANSIM, Barminas, Kalipa, Mandisa, Kalongo, Jean Jacques Kabuley, Kalu, Nmesomachi Enyidiya, Kamate, Benoi, Kamwangen, Gracia Mitonga, Kandjimi, Matti, Kanjana-Zondo, Nokuzola, Kankpeyeng, Lawrence, Kapalamula, Tiyamike, Karadji, Souleymane, Kargbo, Mohamed Alieu, Karghul, Mohamed, Kaskar, Razeena, Kasker, Razeena, Kasobya, Faith, Kassem, Ossama, Kateregga, George, Kayima, Peter, Kedwany, Ahmed M., Ken-Amoah, Sebastian, Kenneth, Tomanya Kakura, KERISSE, Amina Nour El-Houd, KERKENI, Yosra, Khairi, Rania, Khaled, Mohamed, Khalifa, Eissa, Khalifa, Marwa Suliman, Khalil, Mohamed Kamal, Khattab, Mohamed S I, Khodary, Ahmed Refaat, Khumalo, Bridget Florence, Khumalo, Phindile, Kigayi, Jean Pierre, Kimutai, Timothy Kiprotich, KINDO, Bassirou, KIRFI, ABDULLAHI MUSA, Koggoh, Patience, Koko, Alshaima A, Kopieniak, Marcin, Kotagiri, Chandra, Kotey, Emily, Kouicem, Aya Tinhinane, Kpangkpari, Richard, Kudoh, Vincent, Kufonya, Norman, Kuhn, Warren, Kutor, Jasper, Kwakye, Akosua, Kynes, J. Matthew, Lambrechts, Lelanie, Lamiri, Rachida, LANRE, OLOKO NASIRUDEEN, Larvie, Prince, Lateef, Azeez Kehinde, LATRECHE, Samir, Lawal, Taiwo, Leballo, Gontse, Lebereki, Simon, Lee, Dorinda, Leeb, Gregory, Leonard, Tristan, LEYONO-MAWANDZA, Peggy Dalliah Gallou, Likongo, Ted Botawaosenge, Limalia, Ziyaad, LIMAN, HARUNA USMAN, Loae, Nada, Lompoli, Beinvenue Nkoy Ena, Lusungu, Dodo, M.Mokhtar, Fatma AL-Zahraa, Madany, Mohie El-Din Mostafa, Maddy, Reginald Jeff, Madombwe, Gladmore, Mafabi, Solomon, Magashi, Mahmoud Kawu, Maharaj, Sanvir, Mahfouz, Shaimaa Mahmoud, Mahlare, Korowe Rose Voncil, Mahmoud, Fathia, Maikassoua, Mamane, Maison, Patrick, Maiwald, Dela, Makhoba, Philisiwe, Makinita, Sewela Grace, Makou epse Tolefac, Myriam, Malau, Thomas Kefas, Mamathuntsha, Tshilidzi Godfrey, Mamo, Tihitena Negussie, Mamuda, Atiku, Mandundzo, Paidamoyo, Mangray, Hansie, Mani, Salma, Manneh, Ebrima K, Mansour, Noureldin Mohamed, Manyere, DV, Mapurisa, Amarylis, Mare, Pieter, Martin, Mogammad Ebrahim, Mashaal, Abdelhafeez, Mashaya, Sonela, Masilela, Patience Busisiwe, Mathebula, Ruth, Mathinya, Tlhapane, Matlala, Tumelo Kwena, Matlou, Mabitsela, Matos-Puig, Roel, Matoug, Salmin, Maudarbocus, Mohammad Jeelani, Mavesere, Haziel Pindukai, Mavila, Jackson, Mayet, Shafeeqa, Maygag, Mohamed, Mbatha, Nonhlanhla, Mbatudde, Rita, Mbiya Kapinga, Anne, Mbuyamba, Jojo, Mbuyi, Ali T, Mdlalose, Nkosinathi, Prowling, Megan, Mejeni, Nathalie, Mekonnen Ejigu, Yayehyirad, Merghani, Safa, Metogo, Junette Epse Njoki, Mhiri, Riadh, Mhone, Lyness, Michael, Afieharo, Miko, Abdullahi Mustapha, Milad, Ahmed, Mishra, Ravi, Mjadu, Londiwe, Mkhontwana, Nokonwaba, Mlambo, Nompilo, Mncwango, Zama, Mngoma, Gcina, Mnguni, Mzamo, Modekwe, Victor Ifeanyichukwu, Mogane, Palesa, Moghazy, Rama, Mogotsi, Kena, Mohalal, Mohamed Salah, Mohamed, Amin Awad Alamin, Mohamed, Maria, Mohamed, Molhema Eltaib Elamin, Mohamed, Suleyman Abdullahi, Mohamedkheir, Mohamed Abdelmoneim, Mohammad, Ahmad Lofty, Mohammad, Alhassan Datti, Mohammad, Aminu Mohammad, Mohammed, Abdulrahman, Mohammed, Muhanned, Mohammed, Rabiu Isah, Mohammed, Rehab, Mohammed, Taha Salah Abdelmaksaod, Mohammedosman, Doaa, Mohsen, Siham Moftah, Molla Getahun, Amsalu, Moloisi, Makwati, Monib, Fatma A, Moodley, Kirushin, Moopanar, Manogran, Morgan, Fatma, Moris, Baluku, Morna, Martin, Moses, Vaughn, Mostafa, Mahmoud Mohamed, Motiang, Mammie, Motseoile, Toni, Motshabi, Palesa, MOUSSAOUI, Nassima, Mpoto, Dany Bolimo, MPOY EMY MONKESSA, Christ Mayick, MRARA, BUSISIWE, Mshelbwala, Philip Mari, Msherghi, Ahmed, Msibi, Trevor, Mubunda, Raphael Kapend, Muhammad, Abubakar Bala, Muhammad, Saminu, Muhanguzi, Joshua, Muhindo, Ruth, Mukenga, Martin Mamba, Mukuna, Patrick Miteo, Mulewa, Deogracias, Munanzvi, Kudzayi Sarah, Mungur, Luckshmanraj, Munubi, Aziz, Munyalo, Francisca Syovata, Muriithi, Julius M., Musa, Abdullahi Aliyu, Musa, Kareem, Musa, Mosaab Abdelhafiz Ebrahim, Musana, Fred, Musewu, Tongo Douglas, Musiitwa, Albino Kiboonwa, Mwangi, Caroline M., Mwepu, Idesbald Mwebe, Mwepu, Michel Ilunga, Mwika, Peter Mwirichia, Mwiti, Timothy M., Myeni, Physician, Mzoneli, Nosisi, Naana, Reyam, Nabukenya, Gladys, Nabunya, Susan, Naidoo, Alishka, Naidoo, Verushka, Naidu, Priyanka, Nakyanzi, Caroline, Nambi, Esther, Nampawu, Mary Juliet, Nampiina, Gorret, Namutebi, Hasifah, Nana, Benedict, Nanda, Joëlle Sandra Youssa, Nanimambi, Juliana, Nantongo, Betty, Napolitano, Luisa, Naser, Alg, Nassar, Ahmad Sammy, Nassar, Muhammad Sammy, Nasser, Nadine, Nawezo, Jacob Gerald, NDIAYE, Alain, NDIAYE, Cheikh Ahmed Tidiane, Ndiaye, Françoise, Ndibarekera, Sarah Harriet, Ndjoko, Sylvie Mishondo, Ndlovu, Msizi, Nduwayezu, Richard, Negash, Samuel, Nehema, Sarah, Neizer, Margaret, NEJMI, Sifeddine, Nezam-Parast, Masoud, Ng How Tseung, Kenny, Ngcelwane, Thandokazi, Ngene, Ikenna, Nghidinwa, Hilka, Ngissah, Reuben, Ngock, George Farrar Fola Ngock, Ngouane, Diane, Ngumi, Zipporah, Nibret, Yonas, NIENGO OUTSOUTA, Gilles, Njie, Masirending, NJOKANMA, Rapheal Azuka, Nkhata, Lister, Nkhuna, Nyajane Thomas, Nkosi, Nobuhle, Nkosi, Sebenzile, Nkwembe, Christophe Mualuka, Nnaji, Chimaobi, Nneji-Akazie, Tochukwu, Nongqo, Nezisa, Nortey, Michael, Noutakdie Tochie, Joel, Nsaful, Josephine, Nsimire, Berthe Barhayiga, Nte, Stanley K., Ntshingila, Cebile, Ntsie, Nthabiseng Precious, Ntsoane, David, Ntumy, Michael Yao, Nuer-Allornuvor, Gloria, Nuhu, Samuel, Nutsuklo, Prudence, Nwachukwu, Callistus Uchenna, NWAFULUME, NNAEMEKA, Nwangwu, Emmanuel, Nwankwo, Elochukwu P, Nyame, Clement Agyekum, Nyamekye, Evelyn, Nyankah, Eunice, Nyoka-Mokgalong, Cecilia, Oase, Divine, Obande, Joseph Orinya, Obbeng, Ambe, Obeng-Adjei, Grace-Imelda, Obianyo, Ijeoma, Obianyo, Nene E, Obiechina, Sylvester, OBRI, Abraham I., ODI, TEMITOPE, Odingo, Jonathan, Oelofsen, Siobhan, Ofori, Emmanuel, Ofori-Adjei, Dziffa, Ogaji, Idoko Monday, Ogundoyin, Olakayode Olaolu, OGUNLEYE, OLABISI, OGUNS, Abayomi, Ogunsua, Oluseyi, Ohemeng-Mensah, Elvis, Ojediran, Olubukola, Ojediran, Oluwabukade, Ojewuyi, Abiodun, Ojewuyi, Olufemi, Ojo, Adedoyin, OJO, Olugbenga Olalekan, Ojo, Omotayo, Okedare, Amos, Okenwa, Samuel C., Oko, Adariku Godwin, Okojie, Nkechi, Okonkwo, Leonard Nduka, Okoth, Peter, Okunlola, Abiodun Idowu, Okunlola, Cecilia Kehinde, Okurut, Mathew, Oladimeji, Motunrayo, Oladiran, Ajibola, Olagunju, Ganiyat R., Olajide, Abdul-Rahman Lukman, Olajide, Adewale. Timothy, Olang, Patrick R., Olayinka, Oluwakemi, Olori, Samson, Olulana, Dare, Olulana, Dare Isaac, Olusanya, Bolutife, Omar, Duaa Eisa, Onakpoya, Uvie, ONeil, Matthew, Onen, Hudson, ONYEKA, Chinonso, Oosthuizen, Alexis, Opandoh, Isabella, Opiyo, Sophy, Oppong, Jonathan, Orewole, Tesleem Olayinka, Orji, Mathias, Osagie, Olabisi, Osagie, Osasumwen T., Osaheni, Osayomwanbo, Osama Sleem, Adham, Osawa, Francis Omondi, Osei, Fred, Osei-Nketiah, Samuel, Osei-Poku, Dorcas, Osman, Alaa, Osman Ahmed, Mohammed, Osman Suliman, Sarah Omer, Otchere, Kofi, Othman, Amani Alsayd Abdulsalam, Othman, Eman, Othman, May, Otim, Paul, Otim, Tonny, Otman, Rema Hassan, Otoki, Violet, OUDJHIH, Messa, OUEDRAOGO, Issaka, OUEDRAOGO, P. Justin, Ousmane Hamady, Issa, Ouyahia, Amel, OWOJUYIGBE, Afolabi, Owoo, Christian, Owoo, Precious, Owusu Boamah, Matthew, Oyedele, Abisola, Oyedepo, Olanrewaju, Oyegbola, Christianah, Panday, Juniata, Parker, Ewomazino U. Evi, Parker, Ilyas, Parker, Robert K., Pembe, Julie Ndjondo, Percivale, Beatrice, Pereko, Janet, Pérez, Mariela, Perumal, Neville, Pillay, Leresse, Pretorius, Robyn, Prinsloo, Roz, Pryce, Charles, Puryag, Ashveen, QUADRI, Oladeji Raheem, Quansah, Kofi, Quarcoopome, Cornelia, Quarshie, Amanda, Quartson, Elizabeth, Quashie-Sam, James, Rabiu, Ayuba, Rabiu, Taofeek, Rahma, Manal, Rahman, Ganiyu Adebisi, Rais, Mounira, Rajah, Chantal, Rakotondrainibe, Aurélia, Ramakrishnan, Rema, Ramatou, Sabo, Ramdawon, Brinda, Ramdhani, Kirthi, Ramkaun, Yeswant, RAPHAEL, OSELE, Raslan, Hani Mohammed Ahmed, Redelinghuys, Cara, Riffi, Omar, Rikhotso, Hundzukani, Roberts, Charles AP, Robertson, Caroline, Roland, Nchufor, Roos, John, S. Abdalgadir, Esra, Saad, Alshaimaa, Saad, Mahmoud M., Saad El-Tanekhy, Aalaa, Saadi, Cyrine, Saadu, Tasiu, Saber, Mohamed, Sabir Yassin, Fatima Mohammed, Sabo, Vinishe Yakubu, Sabra, Tarek Abdelazem, Saeid, Dawoud Amhimmid, Safar, Amna, Sagboze, Sandra, Sahnoun, Lassaad, Salahu, Babangida Mohammed, Salami, Kelvin, Salawu, Adedayo Idris, Saleh, Hawazen, Saleh, Ismail Ali, Saleh, Khetam Mohamed, Salele, Aliyu Mohammed, Salem, Fatima, Salem, Osama, Salih, Mohammed Ali Ismael Alamin, Salisu, Ibrahim, Sall, Mouhamedoun, SAMB, Cheikh Fall, Sangak, Isam A, Sanoussi, Nanzir Moctar, Sanya, Douglas, Sanyang, Anaumana B, Sarpong, Pokua, SARR, Joseph Niame, Schnaubelt, Romy, Searyoh, Kafui, SECK, Ndèye Fatou, Secka, Abdoulie Sering, Seif, Mohamed, Seilbea, Yvonne, Semret Hailu, Berhe, Sepenu, Perez, Sewlall, Janice, Seyi-Olajide, Justina, Shai, Shiluva, Shalaby, Abdullah Mohamad Omar, SHAPHAT, IBRAHIM, Shava, Garai, Sheidu Owuda, Abdullahi, Sheshe, Abdurrahman Abba, Shetiwy, Mosab, Shezi, Nomusa, Shihab, Maryam Husam, Shitakumuna, Helena, Shitaye, Nebiyu, Shitta, Andrew H., Sholadoye, Tunde Talib, Shouasha, Princely, Shu'aibu, Naziru Garba, Shuiap, Nouran musbah, Sibeko, Bongekile, Sikhakhane, Sebe, Sikwete, Guigui, Sime Gizaw, Habtamu, Simelane, Nhlanhlenhle, Simon, Edwina, Singh, Usha, SIRAJALDIN, Abdulla, Siriboe, Esme, Siyothula, Thozama, Siyotula, Thozama, Smart-Yeboah, Awo, SMITH, Saidat, Solala, Sivuyisiwe, Soliman, Eman A., Solo, Corinne Eulalie, Sombéwendin Charles, Ilboudo, Sonaike, Monisola, Songden, David Zumnan, Sottie, Daniel, Soualili, Zineddine, Soula, Enas, Souleymane, Sidibe, SOWANDE, Oludayo Adedapo, Spytko, Alex, Srir, Daria Omar M, Ssebuguzi, Lawrence, Stegmann, George Frederik, Strauss, Lindsey, Struwig, Estee, Succi, Marcello, Suleiman, Abdul-Rasheed, Suliman, Mazin, Swartz, Mikhail, Taha, Taha M., Takai, Idris Usman, Takou, Bougoue Horline, Takrouney, Mohammed Hamada, Takure, Augustine, TALABI, Ademola Olusegun, Tall, Mamadou, Taute, Carla, Tawfik, Mohamed, Taylor, Jenna, Tembe, Dias Salomao, Temesgen, Fissha, Tesfaye, Emnet, Theko, Dineo, Thiart, Mari, Thompson, Ruary, Thuer, Linda, Tientcheu Fabrice, Tim, Tilahun, Zekaryas Belete, Tilahun Woldetsadik, Tsion, Timo, Manuella, Timotews, Namene, Tjiyokola, David, Tolani, Musliu Adetola, TOUABTI, Souhem, Traoré, Diakaridia, Tsegha, Livingfaith Jighjigh, Tseli, Mbeki, Tumuhimbise, Christine, Tumukunde, Janat, Tunkara, Salihu F S, Turshan, Laila, Turton, Edwin, Uchendu, Chukwudi Chukwuemeka, UDIE, Gabriel U., UDOSEN, Joseph E., Ugalahi, Mary, Ugwu, Euphemia M., UGWU, Ikechukwu Ethelbert, Ugwu, Jideofor Okechukwu, Ugwunne, Chuka A, Ukpabio, Ukpabio E.I., Umar, Aminu Muhammed, UMEH, Chizoba Linda, Ungen, Rowena, Usang, Usang, Usenbo, T, Usman, Mustapha Ibrahim, UWAYESU, Roda, Van Aswegen, Benjamin, van der Byl, Ashley, van der Linde, Pieter, van der Walt, Stephan, van Schalkwyk, Hendrik Petrus, van Tonder, Charme, van Vuuren, Suleen, van Wyk, Janri, van Zyl, Sudene, Wabule, Agnes, Wacays, Abdirahman, Waheed Mowafy, Ghada, Waisiko, Bethleen, Walawah, David, Walithandia, Eziron, Wamwaki, John, Wataaka, Nicholas, Wessels, Nelia, Williams, Emmanuel, WILLIAMS, Omolara, Woldegiorgis, Abel, Wolfaardt, George, Wondossen, Mekete, Woodun, Ritish, Workineh, Saleamlak Tigabie, Wubetu, Solomon, Yahia, Mohamed, Yakubu, Hamisu, Yakubu, Saidu Yusuf, Yalewu, Dawit Zerihun, YAMEOGO, T. Azer-Clovis, Yeboah, Francis, YENYI AHUKA LONGOMBE, Thérèse, Younes, Eman, Young, Chad, Younis, Nageia, Younus, Tarig Yousuf Ibrahim, YUSUF, STEPHEN, Zaki, Fatima, Zbida, Ibrahim, Zenda, Thubelihle, ZERIZER, Yassine, Zingoni, Kudzai, Zitouni, Hayett, ZONGO, P. Valentin, Zubi, Abdalrahem, Zulu, Nonhlanhla, and Zulu, Nqobile

Published
2024
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41. Combinatory Effect of Nitroxoline and Gentamicin in the Control of Uropathogenic Enterococci Infections

Author

Davorka Repac Antić, Bruno Kovač, Marko Kolenc, Irena Brčić Karačonji, Ivana Gobin, and Mirna Petković Didović

Subjects
synergism, enterococci, E. faecalis, antiadhesion, proteome, antimicrobial resistance, Therapeutics. Pharmacology, RM1-950
Abstract

Enterococcus faecalis, responsible for a majority of human and nosocomial enterococcal infections, is intrinsically resistant to aminoglycoside antibiotics (such as gentamicin, GEN), which must be used in a combined therapy to be effective. Nitroxoline (NTX) is an old antibiotic, underused for decades, but rediscovered now in an era of growing antibiotic resistance. In this in vitro study, the types of interactions between NTX and GEN on 29 E. faecalis strains were analyzed with an aim to find synergistic antimicrobial and antiadhesion combinations. Transmission electron microscopy (TEM) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) were used to analyze changes in cell morphology and bacterial proteome after monotreatments and combined treatments. The results showed the synergistic effect for six combinations on eight strains, including the ATCC29212, and an additive effect for most strains. Combinations causing a complete inhibition of adhesion were established. Cell membrane integrity was affected by NTX, while combined NTX/GEN treatment caused dramatic changes in cell morphology. Upregulation of the expression of many proteins was established, with some emerging only after combined treatment. The results strongly imply that NTX has the potential for use in combined therapy with GEN against enterococci and it could further provide a substantial contribution to an ongoing fight against antimicrobial resistance and nosocomial infections.

Published
2024
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49. WatchITgrow

Author

Piccard, Isabelle, Gobin, Anne, Gilliams, Sven, Tits, Laurent, Decloedt, Jürgen, Oliver, Margaret A., Series Editor, Cammarano, Davide, editor, van Evert, Frits K., editor, and Kempenaar, Corné, editor

Published
2023
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