Netminer 4 Full Version: The Best Tool for Graph Analytics and Semantic Network Analysis

It has been released in 2001 as a commercial analysis software specialized in social network analysis. There are various license not only for commercial use, but also for non-commercial academic use.[2] The current version is 4 for Microsoft Windows (2000 or later version).[3]

NetworkMiner Professional can be delivered either as an Electronic Software Download (ESD) or shipped physically on a USB flash drive. The product is exactly the same, regardless of delivery method. NetworkMiner is a portable application that doesn't require any installation, which means that the USB version can be run directly from the USB flash drive. However, we recommend that you copy NetworkMiner to the local hard drive of your computer in order to achieve maximum performance.

Netminer 4 Full Version

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Many studies have reported that Cognitive reserve is a critical mechanism affecting cognitive statuses, such as dementia. The purposes of this study were to identify the knowledge structure and the research trend on cognitive reserve by conducting keyword analysis on research papers ranging from the earliest to the most recent studies done on the topic and to suggest directions for future research. The Web of Science (WOS) database was used to search for articles on cognitive reserve in aging from 2001 to 2020. NetMiner version 4 (cyram, KOREA), a social network analysis program, was used for keyword network analysis. Data analysis showed keywords that could be categorized as cognitive reserve related keywords (cognitive reserve related concepts, cognitive reserve related factor, cognitive reserve diagnosis and measurement, cognitive reserve outcomes) and cognitive reserve research keywords (research subject/disease, research method, intervention, research field). Through trend analysis, we found that various keywords appeared, indicating that the research has gradually developed conceptually and methodically. Based on these findings, future CR studies require the development of multimodal interface-based tools by applying modern digital technology that can be used to more accurately diagnose and monitor CR; remotely, in real time. In addition, to improve CR, it is suggested that the development of cognitive stimulation interventions utilizing VR which fuses AI based interaction technology with the subjects. Finally, CR could develop further through a cooperation of multidisciplinary professionals such as psychology, medicine and nursing.

In addition, this subnetwork also included 8 genes whose Arabidopsis homologs were associated with the seed development, dormancy and germination. In agreement with the fact that the SA and ABA antagonizes gibberellin (GA)-promoted seed germination; six of these genes participated in the SA- and ABA-mediated signaling pathways [55]. Interestingly, three genes of LOC_Os03g12290, LOC_Os01g24550 and LOC_Os01g64470 involved in leaf senescence were also placed in this subnetwork, with LOC_Os01g64470 involved in the SA- and JA-mediated signaling pathways, which was supported by the fact that the WRKYs participate in leaf senescence by modulating the JA and SA equilibrium [56]. This subnetwork successfully captured the W-box related genes that can facilitate further studies the functions of uncharacterized genes and help us to understand the mechanisms of plant responding to various stresses. Interestingly, we have found that miRNA-guide gene subnetwork can also effectively capture the functionally related genes (see S5 Text for details). Taken together, all these outcomes indicated that the rice RNA-seq-based gene co-expression network could be converted to highly reliable regulatory network for further studying gene regulations.

Long non-coding RNAs (lncRNAs) have been shown to play important roles in the kingdoms of plants and animals [57,58]. Given that our reconstructed RNA-seq-based co-expression network successfully associate genes with biological functions and phenotypes of interest, we next wished to discover the functions for uncharacterized lncRNA genes using network-based method. We downloaded the known lncRNAs of rice identified in previous studies [57]. We then combined these lncRNA genes with MSU 7.0 reference genes to establish co-expression network. The obtained network was composed of 24875 genes, containing 24014 protein-coding gene and 861 lncRNA genes connected by 1357039 edges. Compared with the previous network, 7692 novel protein-coding genes were captured and linked with 817 lncRNA genes. As there is no gold standard available to evaluate the predictive performance, we adopted gene-guide subnetwork analysis to illustrate the potential capacity of this network for lncRNA function discovering. We selected a well-studied lncRNA gene of XLOC_057324, which was verified to be involved in panicle development and fertility, to establish a gene subnetwork consisting of the two-layers co-expression neighborhoods (Fig 6 and S7 Dataset). Relative to whole genome annotations, this subnetwork achieved 38 folds enrichment of functionally related genes. In this subnetwork, 4 genes including SSD1, PLA1, DEP1 and GSD1 related to the panicle development or fertility were captured. In addition, we found that seven genes whose Arabidopsis homologs participated in the meiosis, embryo development or reproductive process. According to the known annotations, some genes (yellow nodes) might be also involved in pollen development, such as, two cyclins CYCA2 and CYCD2. Interestingly, 3 lncRNAs of XLOC_061753, XLOC_006119 and XLOC_031878 expressed in the reproductive organs were contained in this subnetwork. All these results were in good agreement with the experimentally verified role of XLOC_057324, indicating the powerful capacity of our approach in inferring the novel function of lncRNA genes.

When the SSL protocol was standardized by the IETF, it was renamed to Transport Layer Security (TLS). Many use the TLS and SSL names interchangeably, but technically, they are different, since each describes a different version of the protocol.

SSL 2.0 was the first publicly released version of the protocol, but it was quickly replaced by SSL 3.0 due to a number of discovered security flaws. Because the SSL protocol was proprietary to Netscape, the IETF formed an effort to standardize the protocol, resulting in RFC 2246, which became known as TLS 1.0 and is effectively an upgrade to SSL 3.0:

Since the publication of TLS 1.0 in January 1999, two new versions have been produced by the IETF working group to address found security flaws, as well as to extend the capabilities of the protocol: TLS 1.1 in April 2006 and TLS 1.2 in August 2008. Internally the SSL 3.0 implementation, as well as all subsequent TLS versions, are very similar, and many clients continue to support SSL 3.0 and TLS 1.0 to this day, although there are very good reasons to upgrade to newer versions to protect users from known attacks!

Before the client and the server can begin exchanging application data over TLS, the encrypted tunnel must be negotiated: the client and the server must agree on the version of the TLS protocol, choose the ciphersuite, and verify certificates if necessary. Unfortunately, each of these steps requires new packet roundtrips (Figure 4-2) between the client and the server, which adds startup latency to all TLS connections.

With the TCP connection in place, the client sends a number of specifications in plain text, such as the version of the TLS protocol it is running, the list of supported ciphersuites, and other TLS options it may want to use.

Assuming both sides are able to negotiate a common version and cipher, and the client is happy with the certificate provided by the server, the client initiates either the RSA or the Diffie-Hellman key exchange, which is used to establish the symmetric key for the ensuing session.

An HTTPS session could, of course, reuse the HTTP Upgrade mechanism to perform the require negotiation, but this would result in another full roundtrip of latency. What if we could negotiate the protocol as part of the TLS handshake itself?

ALPN is a revised and IETF approved version of the NPN extension. In NPN, the server advertised which protocols it supports, and the client then chose and confirmed the protocol. In ALPN, this exchange was reversed: the client now specifies which protocols it supports, and the server then selects and confirms the protocol. The rationale for the change is that this brings ALPN into closer alignment with other protocol negotiation standards.

Unfortunately, many older clients (e.g., most IE versions running on Windows XP, Android 2.2, and others) do not support SNI. As a result, if you need to provide TLS to these older clients, then you may need a dedicated IP address for each and every host.

The extra latency and computational costs of the full TLS handshake impose a serious performance penalty on all applications that require secure communication. To help mitigate some of the costs, TLS provides an ability to resume or share the same negotiated secret key data between multiple connections.

Leveraging session identifiers allows us to remove a full roundtrip, as well as the overhead of public key cryptography, which is used to negotiate the shared secret key. This allows a secure connection to be established quickly and with no loss of security, since we are reusing the previously negotiated session data.

None of the preceding problems are impossible to solve, and many high-traffic sites are using session identifiers successfully today. But for any multiserver deployment, session identifiers will require some careful thinking and systems architecture to ensure a well operating session cache.

Speaking of optimizing CPU cycles, make sure to upgrade your SSL libraries to the latest release, and build your web server or proxy against them! For example, recent versions of OpenSSL have made significant performance improvements, and chances are your system default OpenSSL libraries are outdated.

The connection setup latency imposed on every TLS connection, new or resumed, is an important area of optimization. First, recall that every TCP connection begins with a three-way handshake (explained in Three-Way Handshake), which takes a full roundtrip for the SYN/SYN-ACK packets. Following that, the TLS handshake (explained in TLS Handshake) requires up to two additional roundtrips for the full process, or one roundtrip if an abbreviated handshake (explained in Optimizing TLS handshake with Session Resumption and False Start) can be used. 2ff7e9595c