374 research outputs found
Investigating the Security of EV Charging Mobile Applications As an Attack Surface
The adoption rate of EVs has witnessed a significant increase in recent years
driven by multiple factors, chief among which is the increased flexibility and
ease of access to charging infrastructure. To improve user experience, increase
system flexibility and commercialize the charging process, mobile applications
have been incorporated into the EV charging ecosystem. EV charging mobile
applications allow consumers to remotely trigger actions on charging stations
and use functionalities such as start/stop charging sessions, pay for usage,
and locate charging stations, to name a few. In this paper, we study the
security posture of the EV charging ecosystem against remote attacks, which
exploit the insecurity of the EV charging mobile applications as an attack
surface. We leverage a combination of static and dynamic analysis techniques to
analyze the security of widely used EV charging mobile applications. Our
analysis of 31 widely used mobile applications and their interactions with
various components such as the cloud management systems indicate the lack of
user/vehicle verification and improper authorization for critical functions,
which lead to remote (dis)charging session hijacking and Denial of Service
(DoS) attacks against the EV charging station. Indeed, we discuss specific
remote attack scenarios and their impact on the EV users. More importantly, our
analysis results demonstrate the feasibility of leveraging existing
vulnerabilities across various EV charging mobile applications to perform
wide-scale coordinated remote charging/discharging attacks against the
connected critical infrastructure (e.g., power grid), with significant
undesired economical and operational implications. Finally, we propose counter
measures to secure the infrastructure and impede adversaries from performing
reconnaissance and launching remote attacks using compromised accounts
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Structural and reactivity analyses of nitrofurantoin 4 dimethylaminopyridine salt using spectroscopic and density functional theory calculations
YesPharmaceutical salt, nitrofurantoin–4-dimethylaminopyridine (NF-DMAP), along with its native components NF and DMAP are scrutinized by FT-IR and FT-Raman spectroscopy along with density functional theory so that an insight into the H-bond patterns in the respective crystalline lattices can be gained. Two different functionals, B3LYP and wB97X-D, have been used to compare the theoretical results. The FT-IR spectra obtained for NF-DMAP and NF clearly validate the presence of C33–H34⋅⋅⋅O4 and N23–H24⋅⋅⋅N9 hydrogen bonds by shifting in the stretching vibration of –NH and –CH group of DMAP+ towards the lower wavenumber side. To explore the significance of hydrogen bonding, quantum theory of atoms in molecules (QTAIM) has been employed, and the findings suggest that the N23–H24⋅⋅⋅N9 bond is a strong intermolecular hydrogen bond. The decrement in the HOMO-LUMO gap, which is calculated from NF → NF-DMAP, reveals that the active pharmaceutical ingredient is chemically less reactive compared to the salt. The electrophilicity index (ω) profiles for NF and DMAP confirms that NF is acting as electron acceptor while DMAP acts as electron donor. The reactive sites of the salt are plotted by molecular electrostatic potential (MEP) surface and calculated using local reactivity descriptors.SERB, DST, India, for providing the National Post-doctoral Fellowship (Project File Number: PDF/2016/003162); Central Facility for Computational Research (CFCR), University of Lucknow; Newton-Bhabha Ph.D. placement award (2017); Royal Society seed corn research grant (2018-19
Effets de scenarios de changements climatiques sur la cacaoculture en Cote d’Ivoire
L’influence des scenarios de changements climatiques a été analysée pour les régions Centre et Sud de production cacaoyère en Côte d’Ivoire. A partir des modèles RCP 4.5 et 8.5 de concentration des Gaz à Effets de Serre (GES), les paramètres température et pluviométrie ont été projetés sur les horizons 2021-2050 et 2041-2070 en comparaison à la période de référence 1980-2010. Les résultats ont montré qu’en dehors du nombre élevé de jours chauds qui pourrait provoquer la disparition de la cacaoculture dans les zones marginales de la région Centre, les indices climatiques se situent dans des conditions normales de production du cacaoyer dans les deux régions. Les risques liés aux maladies et ravageurs pourraient être similaires ou potentiellement réduits. En région Sud, les variations climatiques n’auraient aucun impact sur la cacaoculture. Comme stratégies de résilience, les programmes de sélection variétale devront mettre à la disposition des producteurs un matériel végétal tolérant à la sécheresse et aux maladies accompagnée de formations sur les bonnes pratiques agricoles dont l’agroforesterie. Toutefois, l’accès des producteurs à l’information météorologique devra être renforcé.
English title: Climate change effects in cocoa cultivation
Abstract
The influence of climate change scenarios was analyzed for the Center and South regions of cocoa farming in Côte d’Ivoire. From greenhouse gas (GHG) concentration models RCP 4.5 and 8.5, the parameters of temperature and rainfall were projected over the time in years 2021-2050 and 2041- 2070 compared to year 1980-2010 as reference period. The results showed that apart from the high number of hot days which could cause the disappearance of cocoa farming in marginal areas of the Center region, the climatic indices are normal within cocoa production conditions in both regions. Risks on cocoa pests and disease could be similar or potentially reduced. In the South region, climatic variations would have no impact on cocoa farming. As resilience adaptation strategies, tolerant germplasm to drought and pest and disease should be provided to farmers by cocoa research program with training package on good agricultural practices (GAP) including agroforestry. Therefore, theaccess to meteorological information has to be strengthened for smallholders cocoa farmers.
Key words: Climate change scenarios, impact, cocoa farming, Côte d’Ivoire
Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d'Ivoire
BACKGROUND: In Côte d'Ivoire, malaria remains a major public health issue, and thus a priority to be tackled. The aim of this study was to identify spatially explicit indicators of Plasmodium falciparum infection among school-aged children and to undertake a model-based spatial prediction of P. falciparum infection risk using environmental predictors.
METHODS: A cross-sectional survey was conducted, including parasitological examinations and interviews with more than 5,000 children from 93 schools across Côte d'Ivoire. A finger-prick blood sample was obtained from each child to determine Plasmodium species-specific infection and parasitaemia using Giemsa-stained thick and thin blood films. Household socioeconomic status was assessed through asset ownership and household characteristics. Children were interviewed for preventive measures against malaria. Environmental data were gathered from satellite images and digitized maps. A Bayesian geostatistical stochastic search variable selection procedure was employed to identify factors related to P. falciparum infection risk. Bayesian geostatistical logistic regression models were used to map the spatial distribution of P. falciparum infection and to predict the infection prevalence at non-sampled locations via Bayesian kriging.
RESULTS: Complete data sets were available from 5,322 children aged 5-16 years across Côte d'Ivoire. P. falciparum was the predominant species (94.5 %). The Bayesian geostatistical variable selection procedure identified land cover and socioeconomic status as important predictors for infection risk with P. falciparum. Model-based prediction identified high P. falciparum infection risk in the north, central-east, south-east, west and south-west of Côte d'Ivoire. Low-risk areas were found in the south-eastern area close to Abidjan and the south-central and west-central part of the country.
CONCLUSIONS: The P. falciparum infection risk and related uncertainty estimates for school-aged children in Côte d'Ivoire represent the most up-to-date malaria risk maps. These tools can be used for spatial targeting of malaria control interventions
RUNX1/ETO blocks selectin-mediated adhesion via epigenetic silencing of PSGL-1
RUNX1/ETO (RE),the t(8;21)-derived leukemic transcription factor associated with acute myeloid leukemia (AML) development, deregulates genes involved in differentiation, self-renewal and proliferation. In addition, these cells show differences in cellular adhesion behavior whose molecular basis is not well understood. Here, we demonstrate that RE epigenetically silences the gene encoding P-Selectin Glycoprotein Ligand-1 (PSGL-1) and downregulates PSGL-1 expression in human CD34+ and murine lin-hematopoietic progenitor cells. Levels of PSGL-1 inversely and dose-dependently correlate with RE oncogene levels. However, a DNA-binding defective mutant fails to downregulate PSGL-1. We show by ChIP experiments that the PSGL-1 promoter is a direct target of RE and binding is accompanied by high levels of the repressive chromatin mark histone H3K27me3. In t(8;21)+ Kasumi-1 cells, PSGL-1 expression is completely restored at both the mRNA and cell surface protein levels following RE downregulation with short hairpin RNA (shRNA) or RE inhibition with tetramerization-blocking peptides, and at the promoter H3K27me3 is replaced by the activating chromatin mark H3K9ac as well as by RNA polymerase II. Upregulation of PSGL-1 restores the binding of cells to P- and E-selectin and re-establishes myeloid-specific cellular adhesion while it fails to bind to lymphocyte-specific L-selectin. Overall, our data suggest that the RE oncoprotein epigenetically represses PSGL-1 via binding to its promoter region and thus affects the adhesive behavior of t(8;21)+ AML cells
Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review
Background: Rigorous, informative meta-analyses rely on availability of appropriate summary statistics or individual
participant data. For continuous outcomes, especially those with naturally skewed distributions, summary
information on the mean or variability often goes unreported. While full reporting of original trial data is the ideal,
we sought to identify methods for handling unreported mean or variability summary statistics in meta-analysis.
Methods: We undertook two systematic literature reviews to identify methodological approaches used to deal with
missing mean or variability summary statistics. Five electronic databases were searched, in addition to the Cochrane
Colloquium abstract books and the Cochrane Statistics Methods Group mailing list archive. We also conducted cited
reference searching and emailed topic experts to identify recent methodological developments. Details recorded
included the description of the method, the information required to implement the method, any underlying
assumptions and whether the method could be readily applied in standard statistical software. We provided a
summary description of the methods identified, illustrating selected methods in example meta-analysis scenarios.
Results: For missing standard deviations (SDs), following screening of 503 articles, fifteen methods were identified in
addition to those reported in a previous review. These included Bayesian hierarchical modelling at the meta-analysis
level; summary statistic level imputation based on observed SD values from other trials in the meta-analysis; a practical
approximation based on the range; and algebraic estimation of the SD based on other summary statistics. Following
screening of 1124 articles for methods estimating the mean, one approximate Bayesian computation approach and
three papers based on alternative summary statistics were identified. Illustrative meta-analyses showed that when
replacing a missing SD the approximation using the range minimised loss of precision and generally performed better
than omitting trials. When estimating missing means, a formula using the median, lower quartile and upper quartile
performed best in preserving the precision of the meta-analysis findings, although in some scenarios, omitting trials
gave superior results.
Conclusions: Methods based on summary statistics (minimum, maximum, lower quartile, upper quartile, median)
reported in the literature facilitate more comprehensive inclusion of randomised controlled trials with missing mean or
variability summary statistics within meta-analyses
Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets.
Gene expression governs cell fate, and is regulated via a complex interplay of transcription factors and molecules that change chromatin structure. Advances in sequencing-based assays have enabled investigation of these processes genome-wide, leading to large datasets that combine information on the dynamics of gene expression, transcription factor binding and chromatin structure as cells differentiate. While numerous studies focus on the effects of these features on broader gene regulation, less work has been done on the mechanisms of gene-specific transcriptional control. In this study, we have focussed on the latter by integrating gene expression data for the in vitro differentiation of murine ES cells to macrophages and cardiomyocytes, with dynamic data on chromatin structure, epigenetics and transcription factor binding. Combining a novel strategy to identify communities of related control elements with a penalized regression approach, we developed individual models to identify the potential control elements predictive of the expression of each gene. Our models were compared to an existing method and evaluated using the existing literature and new experimental data from embryonic stem cell differentiation reporter assays. Our method is able to identify transcriptional control elements in a gene specific manner that reflect known regulatory relationships and to generate useful hypotheses for further testing.Wellcome Trust, BBSRC, CRU
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