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FIGURE 7 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 7: Relative abundance of phytoseiid mite species in Phyto traps attached to citrus twigs in the orchard studied in Latakia province, Syria, from November 2013 to May 2014.

FIGURE 6 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 6: Percentage of Phyto traps attached to citrus twigs occupied by different number of phytoseiid individuals from November 2013 to May 2014.

FIGURE 3 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 3: Relative abundance of phytoseiid mite species on citrus leaves in the orchard studied in Latakia province, Syria, from mid- August 2013 to the beginning of June 2014.

FIGURE 5 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 5: Mean densities of phytoseiid dominant species per citrus leaf (± SE) in the orchard studied in Latakia province, Syria, from mid-August 2013 to the beginning of June 2014.

FIGURE 1 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 1: A Phyto trap attached to a twig of citrus tree in the orchard studied in Latakia province, Syria, on October 2013.

FIGURE 4 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 4: Relationships between mean densities of Phytoseiidae (all species), E. stipulatus and A. andersoni and mean photophase (a, b, d, respectively); mean densities of A. andersoni and temperature (c).

FIGURE 2 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria

FIGURE 2: Mean densities of Phytoseiidae and P. citri per citrus leaf (± SE) in the orchard studied in Latakia province, Syria, from

opencc-by-4.0Jul 2008View details →

Fig. 1 in Notes on the seasonal dynamics of the coprophagous Hydrophilidae (Coleoptera) in western Turkey, with first record of Megasternum concinnum for Turkish fauna

Fig. 1: Map of the study area, western Turkey.

opencc-by-4.0Jul 2021View details →

An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SMv1)

This is the companion data for the manuscript of the same title, submitted to Journal of Advances in Modeling Earth Systems on 09/03/2021.  summer: this folder contains part of the model outputs I ran on NERSC Cori in 2020-2021 corresponding to the summer simulations in the manuscript. winter: this folder contains part of the outputs I ran on NERSC Cori in 2020-2021 corresponding to the winter simulations in the manuscript. ne256: this folder contains part of the outputs I ran on NERSC Cori in 2021 corresponding to the ne256 simulations in the manuscript. bubble: this folder includes the namelists used in the rising bubble experiments. script: this folder includes an example of a script to generate the realistic SCREAM simulation    Unfortunately, model outputs are too large (~ 30 TB). Therefore, I only provide mean data, used directly to generate figures, in this repository. All model output are archived on tape at NERSC.  For more details, refer to the manuscript, or contact me (wrliu@ucdavis.edu).

opencc-by-4.0Sep 2005View details →

Fig. 5 in Reproductive and population dynamics of the Bay whiff Citharichthys spilopterus Günther, 1862 (Pleuronectiformes: Paralichthyidae) in the Mamanguá Inlet, Rio de Janeiro, Brazil

Fig. 5. Analyses of the sex ratio of C. spilopterus: a) by length groups and b) by months.

Dynamic phase object

In Video 1, it is possible to see the temporal evolution of the sample, in this case the optical path difference (OPD) has been calculated to observe the variations of the phase map.

opencc-zeroSep 2021View details →

Why cannot long-term cascade be predicted? Exploring temporal dynamics in information diffusion processes

Predicting information cascade plays a crucial role in various applications such as advertising campaigns, emergency management, and infodemic controlling. However, predicting the scale of an information cascade in a long-term could be difficult. In this study, we take Weibo, a Twitter-like online social platform, as an example, exhaustively extract predictive features from the data, and use a conventional machine learning algorithm to predict the information cascade scales. Specifically, we compare the predictive power (and the loss of it) of different categories of features in short-term and long-term prediction tasks. Among the features that describe the follower-followee network, retweet network, tweet content, and early diffusion dynamics, we find that early diffusion dynamics are the most predictive ones in short-term prediction tasks but lose most of their predictive power in long-term tasks. In-depth analyses reveal two possible causes of such failure: the bursty nature of information diffusion and feature temporal drift over time. Our findings further enhance the comprehension to information diffusion process and may assist in the control of such process.

Dataset for the paper Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification

Short Description: This is the dataset for the paper "Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification", accepted for publication in the Journal of Systems and Software.  Link to this repository: <a href="https://github.com/droidxp/paper-replication-package">https://github.com/droidxp/paper-replication-package</a> Authors of the Paper <ul> <li>Francisco Handrick da Costa</li> <li>Ismael Medeiros</li> <li>Thales Menezes</li> <li>João Victor da Silva</li> <li>Ingrid Lorraine da Silva</li> <li>Rodrigo Bonifácio</li> <li>Krishna Narasimhanb</li> <li>Márcio Ribeiro</li> </ul> Abstract The popularization of the Android platform and the growing number of Android applications (apps) that manage sensitive data turned the Android ecosystem into an attractive target for malicious software. For this reason, researchers and practitioners have investigated new approaches to address Android's security issues, including techniques that leverage dynamic analysis to mine Android sandboxes. The mining sandbox approach consists in running dynamic analysis tools on a benign version of an Android app. This exploratory phase records all calls to sensitive APIs. Later, we can use this information to (a) prevent calls to other sensitive APIs (those not recorded in the exploratory phase) or (b) run the dynamic analysis tools again in a different version of the app. During this second execution of the fuzzing tools, a warning of possible malicious behavior is raised whenever the new version of the app calls a sensitive API not recorded in the exploratory phase. The use of a mining sandbox approach is an effective technique for Android malware analysis, as previous research works revealed. Particularly, existing reports present an accuracy of almost 70% in the identification of malicious behavior using dynamic analysis tools to mine android sandboxes. However, although the use of dynamic analysis for mining Android sandboxes has been investigated before, little is known about the potential benefits of combining static analysis with a mining sandbox approach for identifying malicious behavior. Accordingly, in this paper we present the results of two studies that investigate the impact of using static analysis to complement the performance of existing dynamic analysis tools tailored for mining Android sandboxes, in the task of identifying malicious behavior. In the first study we conduct a non-exact replication of a previous study (hereafter BLL-Study) that compares the performance of test case generation tools for mining Android sandboxes. Differently from the original work, here we isolate the effect of an independent static analysis component (DroidFax) they used to instrument the Android apps in their experiments. This decision was motivated by the fact that DroidFax could have influenced the efficacy of the dynamic analyses tools positively---through the execution of specific static analysis algorithms DroidFax also implements. In our second study, we carried out a new experiment to investigate the efficacy of taint analysis algorithms to complement the mining sandbox approach previously used to identify malicious behavior. To this end, we executed the FlowDroid tool to mine the source-sink flows from benign/malign pairs of Android apps used in previous research work. Our study brings several findings. For instance, the first study reveals that DroidFax alone (static analysis) can detect 43.75% of the malwares in the BLL-Study dataset, contributing substantially in the performance of the dynamic analysis tools in the BLL-Study. The results of the second study show that taint analysis is also practical to complement the mining sandboxes approach, with a performance similar to that reached by dynamic analysis tools.

opencc-zeroDec 2020View details →

Multispecies modelling reveals potential for habitat restoration to re-establish boreal vertebrate community dynamics

1. The restoration of habitats degraded by industrial disturbance is essential for achieving conservation objectives in disturbed landscapes. In boreal ecosystems, disturbances from seismic exploration lines and other linear features have adversely affected biodiversity, most notably leading to declines in threatened woodland caribou. Large-scale restoration of disturbed habitats is needed, yet empirical assessments of restoration effectiveness on wildlife communities remain rare. 2. We used 73 camera trap deployments from 2015-2019 and joint species distribution models to investigate how habitat use by the larger vertebrate community (>0.2 kg) responded to variation in key seismic line characteristics (line-of-sight, width, density and mounding) following restoration treatments in a landscape disturbed by oil and gas development in northeastern Alberta. 3. The proportion of variation explained by line characteristics was low in comparison to habitat type and season, suggesting short-term responses to restoration treatments were relatively weak. However, we predicted that lines with characteristics consistent with restored conditions would support altered community composition, with reduced use by wolf and coyote, thereby indicating that line restoration will result in reduced contact rates between caribou and these key predators. 4. Our analysis provides a framework to assess and predict wildlife community responses to emerging restoration efforts. With the growing importance of habitat restoration for caribou and other vertebrate species, we recommend longer-term monitoring combined with landscape-scale comparisons of different restoration approaches to more fully understand and direct these critical conservation investments. Only by combining rigorous multispecies monitoring with large-scale restoration will we effectively conserve biodiversity within rapidly changing environments.

Nanoporous carbon structures of different densities generated through GAP molecular dynamics

These nanoporous (NP) carbon atomic structures, in extendend XYZ format, have been generated using a melt-graphitization-quench molecular dynamics (MD) protocol using a Gaussian interatomic potential (GAP) for amorphous carbon [1]. Simulation details and characterization of structural and mechanical properties will follow shortly in a scientific paper. References [1] M.A. Caro. GAP interatomic potential for amorphous carbon (2.0) [Data set]. Zenodo, 10.5281/zenodo.5243184 (2021).

Structural determinants of ligands recognition by the human mitochondrial basic amino acids transporter SLC25A29. Insights from molecular dynamics simulations of the c-state.

Initial coordinates, molecular dynamics trajectories and representative snapshots resulting from the study "Structural determinants of ligands recognition by the human mitochondrial basic amino acids transporter SLC25A29. Insights from molecular dynamics simulations of the c-state." by Pasquadibisceglie and Polticelli. The MD folders contain the parameter/topology (parm7) and initial coordinates (rst7) for the molecular dynamics simulations. Moreover, a NetCDF trajectory "prod.nc" of the production phase is also included. In detail: - MD0 -> SLC25A29 in absence of ligands; - MD1, MD3, MD4 -> SLC25A29-ARG complex; - MD1-LYS, MD3-LYS, MD4-LYS -> SLC25A29-LYS complex. The folder PDB_figures contains the PDB files used to produce the figures presented in the manuscript.

opencc-by-4.0Mar 2022View details →

Spliced isoforms of the cardiac Nav1.5 channel modify channel activation by distinct structural mechanisms: Molecular dynamics coordinate and trajectory files

Molecular dynamics files associated with the publication: Spliced isoforms of the cardiac Nav1.5 channel modify channel activation by distinct structural mechanisms

opencc-zeroSep 2021View details →

Social groups constrain the spatiotemporal dynamics of wild sifaka gut microbiomes

Primates acquire gut microbiota from conspecifics through direct social contact and shared environmental exposures. Host behavior is a prominent force in structuring gut microbial communities, yet the extent to which group or individual-level forces shape the long-term dynamics of gut microbiota is poorly understood. We investigated the effects of three aspects of host sociality (social groupings, dyadic interactions, and individual dispersal between groups) on gut microbiome composition and plasticity in 58 wild Verreaux's sifaka (Propithecus verreauxi) from six social groups. Over the course of three dry seasons in a five-year period, the six social groups maintained distinct gut microbial signatures, with the taxonomic composition of individual communities changing in tandem among co-residing group members. Samples collected from group members during each season were more similar than samples collected from single individuals across different years. In addition, new immigrants and individuals with less stable social ties exhibited elevated rates of microbiome turnover across seasons. Our results suggest that permanent social groupings shape the changing composition of commensal and mutualistic gut microbial communities and thus may be important drivers of health and resilience in wild primate populations.

Raw data for: Stable Isotope Trajectory Analysis (SITA): A new approach to quantify and visualize dynamics in stable isotope studies. Sturbois et al., in revision in Ecological Monographs

These data sets are used as ecological applications in Sturbois et al., in revision, Stable Isotope Trajectory Analysis (SITA): A new approach to quantify and visualize dynamics in stable isotope studies. submitted in Ecological Monographs. - DataS1_furseals.Rdata originates from:  Kernaléguen, L., Cazelles, B., Arnould, J.P.Y., Richard, P., Guinet, C., Cherel, Y., 2012. Long-Term Species, Sexual and Individual Variations in Foraging Strategies of Fur Seals Revealed by Stable Isotopes in Whiskers. PLoS ONE 7, e32916. https://doi.org/10.1371/journal.pone.0032916 - DataS2_Pike.Rdata  originates from: Cucherousset, J., Paillisson, J.-M., Roussel, J.-M., 2013. Natal departure timing from spatially varying environments is dependent of individual ontogenetic status. Naturwissenschaften 100, 761–768. https://doi.org/10.1007/s00114-013-1073-y - DataS4_GT1.Rdata and DataS5_GT2.Rdata originate from: Quillien, N., Nordström, M.C., Schaal, G., Bonsdorff, E., Grall, J., 2016. Opportunistic basal resource simplifies food web structure and functioning of a highly dynamic marine environment. Journal of Experimental Marine Biology and Ecology 477, 92–102. - DataS6_Lakes.Rdata originates from: Zhao, T., Villéger, S., Cucherousset, J., 2019. Accounting for intraspecific diversity when examining relationships between non-native species and functional diversity. Oecologia 189, 171–183. https://doi.org/10.1007/s00442-018-4311-3 Information about respective sampling strategies and sample preparation are available in these original articles. All use of this data sets must cite original article as well as the SITA article.