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Artículos de revistas sobre el tema "Host data"

Autor: Grafiati

Publicado: 7 de junio de 2025

Última modificación: 2 de agosto de 2025

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1

Corcoran, Frank, Hiroshii Irii, and John R. Rosenberger. "Host laboratory and data interchanges." Speech Communication 12, no. 2 (1993): 171–81. http://dx.doi.org/10.1016/s0167-6393(05)80009-3.

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2

Kadam, S. S., and P.B. Kumbharkar. "Data Derivation Investigation." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 06 (2014): 854–59. https://doi.org/10.5281/zenodo.14742628.

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Malicious software is a major issue in today’s computer world. Such software can silently reside in user’s computer and can easily interact with computing resources. It is necessary to improve the honesty of host and its system data. For improvement in security and honesty of host, this work is introduced. This mechanism ensures the correct origin or provenance of critical system information and prevents utilization of host resources by malware. Using this mechanism the source where a piece of data is generated can be identified. A cryptographic origin approach ensures system prope

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3

Pereira, Marco. "Testing the Correlation Between Host Galaxy Mass and Redshift Using the Pantheon Survey Data." Engineering and Applied Sciences Journal 2, no. 2 (2025): 01–03. https://doi.org/10.64030/3067-8005.02.02.01.

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This study investigates the relationship between redshift and host galaxy mass using the Pantheon Supernova Survey dataset. The hypothesis that galaxies with identical luminous distances should have the same host mass is tested using statistical correlation analysis. Contrary to expectations from contraction-based cosmological models, our findings indicate. • No statistically significant correlation between redshift and host galaxy mass. • A very strong correlation (r = 0.979) between redshift and photometric distance derived from Type IA Supernovae. • The complete absence of evidence supporti

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4

Koval, O., S. Voloshynovskiy, J. E. Vila-Forcén, F. Pérez-González, F. Deguillaume, and T. Pun. "Robustness improvement of known-host-state data-hiding using host statistics." Signal Processing 86, no. 5 (2006): 1076–88. http://dx.doi.org/10.1016/j.sigpro.2005.07.024.

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5

Rao, N. Maheswara, and S. Venkata Ramana. "Superlative Server for Host-To-Host Based Massive Calibration Data Processing Platform." International Journal of Computer Trends and Technology 26, no. 1 (2015): 26–31. http://dx.doi.org/10.14445/22312803/ijctt-v26p105.

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6

Thomas, F. "Parasites as host evolutionary prints: insights into host evolution from parasitological data." International Journal for Parasitology 26, no. 10 (1996): 1137. http://dx.doi.org/10.1016/s0020-7519(97)81289-1.

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7

AmanYadav, Srivastav Abhishek, Tiwari Abhinandan, and Vir Singh Krishna. "Host-based Intrusion Detection System (HIDS)." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 1043–49. https://doi.org/10.35940/ijeat.E9903.069520.

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This paper presents the data analysis and feature extraction of KDD dataset of 1999. This is used to detect signature based and anomaly attacks on a system. The process is supported by data extraction as well as data cleaning of the above mentioned data set. The dataset consists of 42 parameters and 58 services. These parameters are further filtered to extract useful attributes. Every attack in the dataset is labeled either with “normal” or into four different attack types i.e. denial-of-service, network probe, remote-to-local or user-to-root. Using different machine learning algor

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8

Sotillo, Javier, Rafael Toledo, Jason Mulvenna, and Alex Loukas. "Exploiting Helminth–Host Interactomes through Big Data." Trends in Parasitology 33, no. 11 (2017): 875–88. http://dx.doi.org/10.1016/j.pt.2017.06.011.

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9

Yan, Weikai, and Duane E. Falk. "Biplot Analysis of Host-by-Pathogen Data." Plant Disease 86, no. 12 (2002): 1396–401. http://dx.doi.org/10.1094/pdis.2002.86.12.1396.

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Effective breeding for disease resistance relies on a thorough understanding of host-by-pathogen relations. Achieving such understanding can be difficult and challenging, particularly for large data sets with complex host genotype-by-pathogen strain interactions. This paper presents a biplot approach that facilitates visual analysis of host-by-pathogen data. A biplot displays both host genotypes and pathogen isolates in a single scatter plot; each genotype or isolate is displayed as a point defined by its scores on the first two principal components derived from subjecting genotype- or strain-

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10

Pan, Yicheng, Yang Zhang, Tingzhu Bi, et al. "HEAL: Performance Troubleshooting Deep inside Data Center Hosts." ACM SIGMETRICS Performance Evaluation Review 52, no. 1 (2024): 41–42. http://dx.doi.org/10.1145/3673660.3655058.

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This study demonstrates the salient facts and challenges of host failure operations in hyperscale data centers. A host incident can involve hundreds of distinct host-level metrics. The faulting mechanism inside the host connects these heterogeneous metrics through direct and indirect correlation, making it extremely difficult to sort out the propagation procedures and the root cause from these intertwined indicators. To deeply understand the failure mechanism inside the host, we develop HEAL -- a novel host metrics analysis toolkit. HEAL discovers dynamic causality in sparse heterogeneous host

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11

Thomas, Frederic, Oliver Verneau, Thierry de Meeûs, and François Renaud. "Parasites as to host evolutionary prints: Insights into host evolution from parasitological data." International Journal for Parasitology 26, no. 7 (1996): 677–86. http://dx.doi.org/10.1016/0020-7519(96)00023-9.

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12

Pan, Yicheng, Yang Zhang, Tingzhu Bi, et al. "HEAL: Performance Troubleshooting Deep inside Data Center Hosts." Proceedings of the ACM on Measurement and Analysis of Computing Systems 7, no. 3 (2023): 1–24. http://dx.doi.org/10.1145/3626785.

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This study demonstrates the salient facts and challenges of host failure operations in hyperscale data centers. A host incident can involve hundreds of distinct host-level metrics, covering broad aspects. The faulting mechanism inside the host connects these heterogeneous metrics through direct and indirect correlation, making it extremely difficult to sort out the propagation procedures and the root cause from these intertwined indicators. To deeply understand the failure mechanism inside the host, we develop HEAL -- a novel host metrics analysis toolkit. HEAL synergistically discovers dynami

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13

Xiong, Yinru, Manawasinghe Ishara, Kevin D. Hyde, et al. "Introducing palmfungi.org, an integrated fungal-host data platform." Biodiversity Data Journal 12 (October 2, 2024): e126553. https://doi.org/10.3897/BDJ.12.e126553.

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Palm fungi are a diverse and unique group mostly found on Arecaceae hosts. They have been studied for approximately 200 years resulting in a large number of known fungal species representing over 700 genera. The timeline of palm fungal studies could be roughly divided into three phases, based on the methods and frequency of reports. They are the "Historical palm fungi era", "Classical palm fungi era" and "Molecular palm fungi era". In the first two periods, the identification of palm fungi was based on morphology, which resulted in a considerable number of morphological species scattered acros

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14

Yaseen, Amer Atta. "Bluetooth Based 12- Channel Temperatures Data Acquisition System." Advanced Materials Research 403-408 (November 2011): 948–53. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.948.

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The trend in industrial control has been to reduce the communications wiring across a plant. Eliminating the cabled connection between a sensors and a host computer enhances the performances and the manageability of a data acquisition system. Through the use of Bluetooth technology the data acquisition components can be paired with a wide variety of pre-existing devices. This makes the host computer portable, cheaper and versatile. Data is collected from the sensors by a microcontroller with an attached Bluetooth module, which transmits the data to a host computer for processing. Costs are red

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15

Ghanem, Haider A., Rana F. Ghani, and Maha J. Abbas. "Data Center Enhancement by Server Resources Utilization." Engineering and Technology Journal 39, no. 1B (2021): 203–8. http://dx.doi.org/10.30684/etj.v39i1b.174.

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Data centers are the main nerve of the Internet because of its hosting, storage, cloud computing and other services. All these services require a lot of work and resources, such as energy and cooling. The main problem is how to improve the work of data centers through increased resource utilization by using virtual host simulations and exploiting all server resources. In this paper, we have considered memory resources, where Virtual machines were distributed to hosts after comparing the virtual machines with the host from where the memory and putting the virtual machine on the appropriate host

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16

Burdonov, Igor Borisovich, Nina Vladimirovna Yevtushenko, and Alexander Sergeevitch Kossatchev. "Secure Implementing a Virtual Network on the SDN Data Plane." Proceedings of the Institute for System Programming of the RAS 33, no. 1 (2021): 123–36. http://dx.doi.org/10.15514/ispras-2021-33(1)-9.

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The paper continues the investigations on the implementation of virtual networks on the SDN data plane which is modeled by a graph of physical connections between network nodes. A virtual network is defined as a set of ordered host pairs (sender, receiver), and it is implemented by a set of host-host paths that uniquely determine the switch settings. The opportunities to transmit a packet are limited by the host weights (priorities): a packet can be only transmitted from a host to a host if the sender has at most the same priority as the recipient, and thus, a set of paths is permissible if it

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17

Lakshmi, M. Naga Surya, and K. V. N. Sunitha. "Host Based Intrusion Detection Using Data Mining Methodologies." International Journal of Computer Sciences and Engineering 6, no. 8 (2018): 992–98. http://dx.doi.org/10.26438/ijcse/v6i8.992998.

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18

Krasnov, B. R., I. S. Khokhlova, and G. I. Shenbrot. "Sampling fleas: the reliability of host infestation data." Medical and Veterinary Entomology 18, no. 3 (2004): 232–40. http://dx.doi.org/10.1111/j.0269-283x.2004.00500.x.

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19

Miniewicz, A., and S. Bartkiewicz. "Photosensitive Guest-Host Polymer for Optical Data Storage." Acta Physica Polonica A 87, no. 6 (1995): 971–80. http://dx.doi.org/10.12693/aphyspola.87.971.

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20

Walton, S., A. Hutton, and J. Touch. "High-speed data paths in host-based routers." Computer 31, no. 11 (1998): 46–52. http://dx.doi.org/10.1109/2.730736.

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21

Upham, Nathan S., Jorrit H. Poelen, Deborah Paul, et al. "Liberating host–virus knowledge from biological dark data." Lancet Planetary Health 5, no. 10 (2021): e746-e750. https://doi.org/10.5281/zenodo.13534636.

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(Uploaded by Plazi for the Bat Literature Project) Connecting basic data about bats and other potential hosts of SARS-CoV-2 with their ecological context is crucial to the understanding of the emergence and spread of the virus. However, when lockdowns in many countries started in March, 2020, the world's bat experts were locked out of their research laboratories, which in turn impeded access to large volumes of offline ecological and taxonomic data. Pandemic lockdowns have brought to attention the long-standing problem of so-called biological dark data: data that are published, but disconnecte

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22

Upham, Nathan S., Jorrit H. Poelen, Deborah Paul, et al. "Liberating host–virus knowledge from biological dark data." Lancet Planetary Health 5, no. 10 (2021): e746-e750. https://doi.org/10.5281/zenodo.13534636.

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(Uploaded by Plazi for the Bat Literature Project) Connecting basic data about bats and other potential hosts of SARS-CoV-2 with their ecological context is crucial to the understanding of the emergence and spread of the virus. However, when lockdowns in many countries started in March, 2020, the world's bat experts were locked out of their research laboratories, which in turn impeded access to large volumes of offline ecological and taxonomic data. Pandemic lockdowns have brought to attention the long-standing problem of so-called biological dark data: data that are published, but disconnecte

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23

TELFER, S., R. BIRTLES, M. BENNETT, X. LAMBIN, S. PATERSON, and M. BEGON. "Parasite interactions in natural populations: insights from longitudinal data." Parasitology 135, no. 7 (2008): 767–81. http://dx.doi.org/10.1017/s0031182008000395.

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SUMMARYThe physiological and immunological state of an animal can be influenced by current infections and infection history. Consequently, both ongoing and previous infections can affect host susceptibility to another parasite, the biology of the subsequent infection (e.g. infection length) and the impact of infection on host morbidity (pathology). In natural populations, most animals will be infected by a succession of different parasites throughout the course of their lives, with probably frequent concomitant infections. The relative timing of different infections experienced by a host (i.e.

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24

Nourani, Esmaeil, Farshad Khunjush, and Saliha Durmuş. "Computational prediction of virus–human protein–protein interactions using embedding kernelized heterogeneous data." Molecular BioSystems 12, no. 6 (2016): 1976–86. http://dx.doi.org/10.1039/c6mb00065g.

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25

Cumming, G. S. "On the relevance of abundance and spatial pattern for interpretations of host–parasite association data." Bulletin of Entomological Research 94, no. 5 (2004): 401–9. http://dx.doi.org/10.1079/ber2004319.

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AbstractThe quantification of host–parasite associations from field data is a fundamental step towards understanding host–parasite and host-parasite–pathogen dynamics. For parasites that are not rigid host specialists, exemplified in this paper by ticks, the interpretation of host–parasite association data is difficult. Interpretations of tick collection records have largely assumed that off-host collection records offer a valid basis from which to make claims about the host specificity or generality of tick species. A simple simulation analysis of rudimentary tick–host interactions in a hypot

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26

Childs, Lauren M., Fadoua El Moustaid, Zachary Gajewski, et al. "Linked within-host and between-host models and data for infectious diseases: a systematic review." PeerJ 7 (June 19, 2019): e7057. http://dx.doi.org/10.7717/peerj.7057.

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The observed dynamics of infectious diseases are driven by processes across multiple scales. Here we focus on two: within-host, that is, how an infection progresses inside a single individual (for instance viral and immune dynamics), and between-host, that is, how the infection is transmitted between multiple individuals of a host population. The dynamics of each of these may be influenced by the other, particularly across evolutionary time. Thus understanding each of these scales, and the links between them, is necessary for a holistic understanding of the spread of infectious diseases. One a

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27

Boone, Evan C., Jeffrey R. Laursen, Robert E. Colombo, Scott J. Meiners, Michael F. Romani, and Devon B. Keeney. "Infection patterns and molecular data reveal host and tissue specificity ofPosthodiplostomumspecies in centrarchid hosts." Parasitology 145, no. 11 (2018): 1458–68. http://dx.doi.org/10.1017/s0031182018000306.

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AbstractPosthodiplostomum minimumutilizes a three-host life cycle with multiple developmental stages. The metacercarial stage, commonly known as ‘white grub’, infects the visceral organs of many freshwater fishes and was historically considered a host generalist due to its limited morphological variation among a wide range of hosts. In this study, infection data and molecular techniques were used to evaluate the host and tissue specificity ofPosthodiplostomummetacercariae in centrarchid fishes. Eleven centrarchid species from three genera were collected from the Illinois portion of the Ohio Ri

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28

Mokhaled, N. A. Al-Hamadani, A. Sattam Ihab, W. Daoud Raid, N. Shehab Suhail, and A. Kamel Haider. "Design and implement a self-managed computer network for electronic exams and sharing." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 1 (2020): 466–75. https://doi.org/10.11591/ijeecs.v19.i1.pp466-475.

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To implement electronic exams and material resources sharing (which is usually limited), an operating base is must be available for trading information and correspondence management. In this paper, self-managed computer networks, no server was designed. This network aims to share information and correspondence management between the laboratory`s computers. A specific software called Packet tracer used for designing and simulating the network, also for choosing the right medium and install the IP address so that a maximum of data flowing with minimum time and no data loss can be achieved. A cla

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29

Dai, Guo Yong, and Lu Yi Chen. "Data Hiding in Digital Image Based on Color Difference." Advanced Materials Research 760-762 (September 2013): 1547–51. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1547.

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Data hiding is one of the most important ways to achieve secure data transfer. Most spatial data hiding methods will make the host image distortion and the embedded data can be detected by stenography analysis. A novel data hiding method is proposed in this paper. This method first disturbs the raw critical data, and then embedded them only into areas of color changes much in the host image. Experiments show that this method can reduce the distortion of the host image and decrease the appreciability of the embedded data.

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30

Kim, Jongwoo, Seongsoo Park, and Hwansoo Han. "Data Transfer Optimized High-level FPGA Host Programming Interface." Journal of KIISE 48, no. 8 (2021): 859–64. http://dx.doi.org/10.5626/jok.2021.48.8.859.

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31

Jahnke, K., B. Kuhlbrodt, and L. Wisotzki. "Quasar host galaxy star formation activity from multicolour data." Monthly Notices of the Royal Astronomical Society 352, no. 2 (2004): 399–415. http://dx.doi.org/10.1111/j.1365-2966.2004.07933.x.

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32

Katzourakis, Aris. "Paleovirology: inferring viral evolution from host genome sequence data." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1626 (2013): 20120493. http://dx.doi.org/10.1098/rstb.2012.0493.

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33

Alizon, Samuel, Carmen Lía Murall, Emma Saulnier, and Mircea T. Sofonea. "Detecting within-host interactions from genotype combination prevalence data." Epidemics 29 (December 2019): 100349. http://dx.doi.org/10.1016/j.epidem.2019.100349.

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34

Lepakshi, Vijayalakshmi A., and Prashanth C S R. "Scheduling Workflows with Data Host Reservation in Cloud Computing." International Journal of Engineering and Technology 9, no. 4 (2017): 3086–99. http://dx.doi.org/10.21817/ijet/2017/v9i4/170904080.

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35

Bridges, Robert A., Tarrah R. Glass-Vanderlan, Michael D. Iannacone, Maria S. Vincent, and Qian (Guenevere) Chen. "A Survey of Intrusion Detection Systems Leveraging Host Data." ACM Computing Surveys 52, no. 6 (2020): 1–35. http://dx.doi.org/10.1145/3344382.

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36

Baines, Ellyn K., Jeremy Jones, James H. Clark, Henrique R. Schmitt, and Jordan M. Stone. "Eighteen Exoplanet Host Stars from the NPOI Data Archive." Astronomical Journal 169, no. 2 (2025): 83. https://doi.org/10.3847/1538-3881/ad9bb1.

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Abstract During the course of publishing angular diameters from the Navy Precision Optical Interferometer data archive, we found we had data on 17 confirmed exoplanet host stars and 1 exoplanet candidate (HD 20902/α Per). Here, we update our previously published stellar radii with more precise Gaia parallaxes when available, and use our radius and effective temperature measurements to fit each star's mass and age using MIST models. The mass changed by more than 10% for 9 of the 18 stars. Combining our updated masses, radii, and temperatures, we present refined planetary masses as well as habit

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37

Bernasconi, Anna, and Stefano Ceri. "Interoperability of COVID-19 Clinical Phenotype Data with Host and Viral Genetics Data." BioMed 2, no. 1 (2022): 69–81. http://dx.doi.org/10.3390/biomed2010007.

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The outbreak of the COVID-19 epidemic has focused enormous attention on the genetics of viral infection and related disease. Since the beginning of the pandemic, we focused on the collection and integration of SARS-CoV-2 databases, which contain information on the structure of the virus and on its ability to spread, mutate, and evolve; data are made available from several open-source databases. In the past, we gathered experience on human genomics data by building models and integrated databases of genomic datasets (representing, e.g., mutations, gene expression profiles, epigenetic signals).

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38

Na, Jiesi, Hongtao Qi, and Jianyu Zhang. "An Embedded Encrypted Data Storage System based on FPGA." Highlights in Science, Engineering and Technology 24 (December 27, 2022): 7–12. http://dx.doi.org/10.54097/hset.v24i.3878.

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For the embedded storage system with data confidentiality requirements, an embedded storage platform with triple DES as the encryption algorithm, eMMC as the storage medium, UART and UDP as the communication interface, and FPGA as the main control chip is designed. in this design, the data encryption key can be freely set by the host computer during data storage. When reading the data, the host computer can obtain the plaintext data by providing the correct key without decrypting the host computer. The experimental results show that the design can normally complete the encrypted storage and de

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39

Janssen, Riny, Karen A. Krogfelt, Shaun A. Cawthraw, Wilfrid van Pelt, Jaap A. Wagenaar, and Robert J. Owen. "Host-Pathogen Interactions in Campylobacter Infections: the Host Perspective." Clinical Microbiology Reviews 21, no. 3 (2008): 505–18. http://dx.doi.org/10.1128/cmr.00055-07.

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SUMMARY Campylobacter is a major cause of acute bacterial diarrhea in humans worldwide. This study was aimed at summarizing the current understanding of host mechanisms involved in the defense against Campylobacter by evaluating data available from three sources: (i) epidemiological observations, (ii) observations of patients, and (iii) experimental observations including observations of animal models and human volunteer studies. Analysis of available data clearly indicates that an effective immune system is crucial for the host defense against Campylobacter infection. Innate, cell-mediated, a

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40

Tang, Nguyen Van. "On a method combining the data language and the programming language." Journal of Computer Science and Cybernetics 1, no. 4 (2015): 7–9. http://dx.doi.org/10.15625/1813-9663/1/4/6698.

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A programming language and the database language will be combined one to another in such a way, that an application source program, which a mixture of statements of the host and database languages instead, can be now separated into two source modules, the one on the host language and the other on the data base. By the host standard compiled into object modules. The LINKEP EDITOR of the operating system links those modules into a load module that corresponds to the original mixed program.

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41

Sakalian, Vladimir, Enrico Migliaccio, Victor Gashtarov, Danail Doychev, and Georgi Georgiev. "New data on the distribution and host plants of subfamily Buprestinae (Coleoptera: Buprestidae) in Bulgaria." Silva Balcanica 22, no. (3) (2021): 5–12. https://doi.org/10.3897/silvabalcanica.22.e77434.

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Data about the distribution and host plants of 47 species group taxa from subfamily Buprestinae are presented. In this study, three localities of <em>Anthaxia </em>(<em>Anthaxia</em>) <em>suzannae </em>were reported for the first time in Bulgaria. In addition, <em>Paliurus spina-christi </em>was established as a new host plant for <em>Chrysobothris leonhardi</em>.

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42

Gómez-Pérez, Daniel, and Eric Kemen. "Predicting Lifestyle from Positive Selection Data and Genome Properties in Oomycetes." Pathogens 10, no. 7 (2021): 807. http://dx.doi.org/10.3390/pathogens10070807.

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As evidenced in parasitism, host and niche shifts are a source of genomic and phenotypic diversification. Exemplary is a reduction in the core metabolism as parasites adapt to a particular host, while the accessory genome often maintains a high degree of diversification. However, selective pressures acting on the genome of organisms that have undergone recent lifestyle or host changes have not been fully investigated. Here, we developed a comparative genomics approach to study underlying adaptive trends in oomycetes, a eukaryotic phylum with a wide and diverse range of economically important p

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43

Tartally, András, János Pál Tóth, Alex Váradi, and Judit Bereczki. "First Data on the Host Ant Usage of Large Blue from the Carpathian Basin." Sociobiology 64, no. 1 (2017): 122. http://dx.doi.org/10.13102/sociobiology.v64i1.1206.

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The protected Maculinea arion is an obligate myrmecophilous butterfly (Lepidoptera, Lycaenidae). Fourth instar larvae and pupae develop in Myrmica (Hymenoptera: Formicidae) ant nests. Host ant specificity varies geographically, and knowledge of the local host ant species is important to understand the biogeography and evolution of this species, and vital for its conservation. Here we report the first data on the host ant usage of M. arion in the Carpathian Basin, one prepupal caterpillar from a Myrmica specioides Bondroit, 1918 and one pupa from a M. scabrinodis Nylander, 1846 nest. Myrmica sp

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44

Rajeev, Kumar Gupta and R. K. Pateriya. "Survey on Virtual Machine Placement Techniques in Cloud Computing Environment." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 4, October (2018): 01–08. https://doi.org/10.5281/zenodo.1413911.

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In traditional data center numbers of services are run onto the dedicated physical servers. Most of the time, these data centers are not used their full capacity in term of resources. Virtualization allows the movement of VM from one host to the another host ,which is called virtual machine migration, so these data centers can consolidate their services onto lesser number of physical servers than originally required. Virtual machine placement is the part of the VM migration. To map the virtual machines to the physical machines is called the VM placement. In other word, VM placement is the proc

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45

Evstigneev, D. A., and N. S. Boyko. "New data on Tephritidae (Diptera) from Armenia and Russia." Zoosystematica Rossica 34, no. 1 (2025): 46–53. https://doi.org/10.31610/zsr/2025.34.1.46.

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New data on the morphology, distribution and host plants are provided for several species of tephritid flies. Urophora xanthippe (Munro, 1934) is recorded for the first time from Russia and U. doganlari Kütük, 2006, from Armenia; U. kasachstanica (Richter, 1964) is recorded for the first time for the Volgograd and Samara provinces of Russia. The details of the male genitalia not included in the descriptions of U. doganlari, U. kasachstanica, U. terebrans (Loew, 1844), and U. xanthippe are figured. Centaurea polypodiifolia Boiss. is recorded for the first time as a host plant of U. doganlari. J

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46

Alexiev, Alexandra, Melissa Y. Chen, and Valerie J. McKenzie. "Identifying fungal-host associations in an amphibian host system." PLOS ONE 16, no. 8 (2021): e0256328. http://dx.doi.org/10.1371/journal.pone.0256328.

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Host-associated microbes can interact with macro-organisms in a number of ways that affect host health. Few studies of host-associated microbiomes, however, focus on fungi. In addition, it is difficult to discern whether a fungal organism found in or on an ectotherm host is associating with it in a durable, symbiotic interaction versus a transient one, and to what extent the habitat and host share microbes. We seek to identify these host-microbe interactions on an amphibian, the Colorado boreal toad (Anaxyrus boreas boreas). We sequenced the ITS1 region of the fungal community on the skin of w

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47

Laamari, Malik, d'Acier Armelle Coeur, and Emmanuelle Jousselin. "New data on aphid fauna (Hemiptera, Aphididae) in Algeria." ZooKeys 319 (July 30, 2013): 223–29. https://doi.org/10.3897/zookeys.319.4340.

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A survey of aphids was carried out during the period 2008–2011 in different regions of Algeria by collecting and identifying aphids and their host plants. Aphids were collected from 46 host plants. Forty-six species were reported including thirty-six species which were recorded for the first time in this country and thirty species which were recorded for the first time in the Maghreb (North Africa). This study extends the number of known Algerian aphid to 156 species.

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Journal, Baghdad Science. "An Embedded Data Using Slantlet Transform." Baghdad Science Journal 8, no. 3 (2011): 840–48. http://dx.doi.org/10.21123/bsj.8.3.840-848.

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Data hiding is the process of encoding extra information in an image by making small modification to its pixels. To be practical, the hidden data must be perceptually invisible yet robust to common signal processing operations. This paper introduces a scheme for hiding a signature image that could be as much as 25% of the host image data and hence could be used both in digital watermarking as well as image/data hiding. The proposed algorithm uses orthogonal discrete wavelet transforms with two zero moments and with improved time localization called discrete slantlet transform for both host and

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49

Alwan, Iman Mohammed Ga’fer, and Enas Muzaffer Al-Ta’ee. "An Embedded Data Using Slantlet Transform." Baghdad Science Journal 8, no. 3 (2011): 840–48. http://dx.doi.org/10.21123/bsj.2011.8.3.840-848.

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Data hiding is the process of encoding extra information in an image by making small modification to its pixels. To be practical, the hidden data must be perceptually invisible yet robust to common signal processing operations. This paper introduces a scheme for hiding a signature image that could be as much as 25% of the host image data and hence could be used both in digital watermarking as well as image/data hiding. The proposed algorithm uses orthogonal discrete wavelet transforms with two zero moments and with improved time localization called discrete slantlet transform for both host and

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50

LYMBERY, A. J. "Combining data from morphological traits and genetic markers to determine transmission cycles in the tape worm, Echinococcus granulosus." Parasitology 117, no. 2 (1998): 185–92. http://dx.doi.org/10.1017/s0031182098002911.

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Species of Echinococcus (Cestoda: Taeniidae) require 2 mammalian hosts to complete their life-cycle; a carnivorous definitive host, and a herbivorous or omnivorous intermediate host. For most species of Echinococcus, the definitive host range is restricted to 1 or a few species, but the intermediate host range is very broad. Programmes to control hydatid disease attempt to break the life-cycle of the parasite and their effectiveness is therefore enhanced by an understanding of local patterns of transmission. Although it is known that the rostellar hooks of protoscoleces may be influenced by th

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