Real Link Research Articles

Random forest application on cognitive level classification of E-learning content

The e-learning is the primary method of learning for most learners after the regular academics studies. The knowledge delivery through e-learning technologies increased exponentially over the years because of the advancement in internet and e-learning technologies. Knowledge delivery to some people would never have been possible without the e-learning technologies. Most of the working professional do focused studies for carrier advancement, promotion or to improve the domain knowledge. These learner can find many free e-learning web sites from the internet easily in the domain of interest. However it is quite difficult to find the best e-learning content suitable for their learning based on their domain knowledge level. User spent most of the time figuring out the right content from a plethora of available content and end up learning nothing. An intelligent framework using machine learning algorithms with Random Forest Classifier is proposed to address this issue, which classifies the e-learning content based on its difficulty levels and provide the learner the best content suitable based on the knowledge level .The frame work is trained with the data set collected from multiple popular e-learning web sites. The model is tested with real time e-learning web sites links and found that the e-contents in the web sites are recommended to the user based on its difficulty levels as beginner level, intermediate level and advanced level.

Active implications for dermatologists in 'SARS-CoV-2 ERA': Personal experience and review of literature.

Linked articles: COVID‐19 SPECIAL FORUM. J Eur Acad Dermatol Venereol 2020; 34: e346–e380.

RETRACTED ARTICLE: Real time link quality based route selection and transmission in industrial Manet for improved QoS

The QoS (quality of service) of Manet is depending various factors but it is highly rely on quality of links between the routes. The ratio of link failure reduces the throughput performance which is directly affecting the QoS. The most industrial units provide various services which can be accessed through mobile adhoc network. This supports the industrial entities and users to access the services through various mobile devices. As the nodes of Manet moves in different speed at various directions, the frequency of link failure will be always higher. However, to support data transmission, number of routing protocols has been discussed earlier (REF-26), but suffer to achieve higher QoS performance. To improve the quality of route selection towards maximization of QoS, a novel probabilistic link availability based traffic free route selection algorithm is presented in this paper. The method uses the location information, mobility speed, direction of various nodes in the measurement of probability in link availability. Also, the value of traffic at each node, neighbors of each node, and the frequency of transmission in each hop to measure the QoS Support Measure. The method first identifies the list of routes according to the broadcast mechanism and learns the topological information and traffic details. Using the details learned, the method identifies the list of routes and probable feature routes. For each route identified, the method estimates QoS support measure to choose a traffic free route at any time. Finally a single route has been selected to achieve high performance transmission in Manet.

ORGANISATIONAL GREEN BEHAVIOURAL CHANGE: THE ROLE OF CHANGE MANAGEMENT

The pervasive environmental crisis across the globe has been traced to unsustainable business practices of corporations. This live-threatening phenomenon continues to generate vivacious debates, with scholars and other green stakeholders suggesting certain behavioral patterns as a solution to the scourge. However, while some organisations are realising the need for green processes and behaviors to key to sustainability practices, they are being confronted with the dilemma of the most effective ways to go about it. Organizational Green Behaviour Change (OGBC) the process actually requires complete overhauling of the entire system because it will touch all aspects of the organization and likely to alter the status quo with a possibility for change resistance. Hence, the role of Change Management is inevitable to have a seamlessly OGBC process in an organisation. Consequently, this paper attempts to review the role of Change Management in the successful delivery of OGBC vis-a-vis resistance to change (RTC). The paper adopts a content-based literature review methodology to achieve its set objectives. Findings suggest that organisation change managers need expert support toward a successful OGBC implementation to enable them to achieve desired OGBC outcomes efficiently. Secondly, it reveals that for organisations to record success in the OGBC process, all stakeholders (internal and external) interests and concerns must be taken into account ab initio. Thirdly, the paper highlights the need for a real link between Change Management and OGBC for effective management of RTC in the OGBC process. Lastly, the study admits its inability to report its findings quantitatively, and recommend active involvement of change management scholars in the growth and development of green literature for sustainability sake.

What do beta diversity components reveal from presence-absence community data? Let us connect every indicator to an indicandum!

Abstract Extracting meaningful information from community data is among the most challenging tasks of community ecology. Whereas presence-absence data matrices are commonly used in different analytical frameworks, we argue that the conceptual distinction among community patterns (on which inference is made), pairwise pattern components (PPCs, which reflect the unique response of communities for pairs of sites), and measures (which quantify a relevant property of PPCs), liberates our field from the possible misinterpretation of results derived from existing approaches. The novel concept suggested here is the PPC, which can be efficiently used to identify response types of communities, thereby shortening the list of potential explanatory processes. Consequently, the introduction of PPCs supports the analysis of real data sets and links patterns to ecological hypotheses. Based on PPCs, we proposed a new partitioning of beta diversity (SET framework) into intersection (I) of nestedness and beta diversity and the relative complement (RC) of nestedness in beta diversity. We performed an algebraic assessment of three existing partitioning frameworks of beta diversity: the BAS (Baselga, 2010, Global Ecology and Biogeography), POD (Podani and Schmera, 2011 Oikos) and SET (present paper). We found that when a community pattern is anti-nested, which is characterized by the presence of both Replacement and Richness difference PPCs, the BAS framework falsely indicates a 100% share of replacement from beta diversity. In contrast, the POD and SET partitioning procedures detect the presence and the proper size of PPCs for all types of community patterns. In conclusion, we argue that breaking down community patterns into PPCs and then quantifying the importance of these PPCs form a straightforward strategy to extract information from community data under a broad range of circumstances.

Organisational Green Behavioural Change: The Role of Change Management

The pervasive environmental crisis across the globe has been traced to unsustainable business practices of corporations. This live-threatening phenomenon continues to generate vivacious debates, with scholars and other green stakeholders suggesting certain behavioral patterns as a solution to the scourge. However, while some organisations are realising the need for green processes and behaviors to key to sustainability practices, they are being confronted with the dilemma of the most effective ways to go about it. Organizational Green Behaviour Change (OGBC) the process actually requires complete overhauling of the entire system because it will touch all aspects of the organization and likely to alter the status quo with a possibility for change resistance. Hence, the role of Change Management is inevitable to have a seamlessly OGBC process in an organisation. Consequently, this paper attempts to review the role of Change Management in the successful delivery of OGBC vis-a-vis resistance to change (RTC). The paper adopts a content-based literature review methodology to achieve its set objectives. Findings suggest that organisation change managers need expert support toward a successful OGBC implementation to enable them to achieve desired OGBC outcomes efficiently. Secondly, it reveals that for organisations to record success in the OGBC process, all stakeholders (internal and external) interests and concerns must be taken into account ab initio. Thirdly, the paper highlights the need for a real link between Change Management and OGBC for effective management of RTC in the OGBC process. Lastly, the study admits its inability to report its findings quantitatively, and recommend active involvement of change management scholars in the growth and development of green literature for sustainability sake.

Real algebraic links in S3 and braid group actions on the set of n-adic integers

We construct an infinite tower of covering spaces over the configuration space of [Formula: see text] distinct nonzero points in the complex plane. This results in an action of the braid group [Formula: see text] on the set of [Formula: see text]-adic integers [Formula: see text] for all natural numbers [Formula: see text]. We study some of the properties of these actions such as continuity and transitivity. The construction of the actions involves a new way of associating to any braid [Formula: see text] an infinite sequence of braids, whose braid types are invariants of [Formula: see text]. We present computations for the cases of [Formula: see text] and [Formula: see text] and use these to show an infinite family of braids close to real algebraic links, i.e. links of isolated singularities of real polynomials [Formula: see text].

Armington Elasticity and Development

We model trade competitiveness over the course of economic development, by focusing on real world links between technology, market shares, and consumers’ demand for technology products. Our starting point is the Armington elasticity (AE) which is the standard way to represent region-specific preferences in international trade; however, a great drawback is that it is assumed fixed. Our paper contributes by modeling the role of technological and economic progress in evolution of AE. This framework has theoretical and policy applications. We provide illustrations of how the framework can be used to analyze the conditions for successful government policy interventions in trade. Specifically we model supply and demand sides: (1) technological progress influencing AE, as substitution becomes easier when varieties embody similar technology and (2) steadier demand for technology intensive products as the economy develops and incomes rise.

Identification of critical links in a large-scale road network considering the traffic flow betweenness index.

The traditional full-scan method is commonly used for identifying critical links in road networks. This method simulates each link to be closed iteratively and measures its impact on the efficiency of the whole network. It can accurately identify critical links. However, in this method, traffic assignments are conducted under all scenarios of link disruption, making this process prohibitively time-consuming for large-scale road networks. This paper proposes an approach considering the traffic flow betweenness index (TFBI) to identify critical links, which can significantly reduce the computational burden compared with the traditional full-scan method. The TFBI consists of two parts: traffic flow betweenness and endpoint origin–destination (OD) demand (rerouted travel demand). There is a weight coefficient between these two parts. Traffic flow betweenness is established by considering the shortest travel-time path betweenness, link traffic flow and total OD demand. The proposed approach consists of the following main steps. First, a sample road network is selected to calibrate the weight coefficient between traffic flow betweenness and endpoint OD demand in the TFBI using the network robustness index. This index calculates changes in the whole-system travel time due to each link’s closure under the traditional full-scan method. Then, candidate critical links are pre-selected according to the TFBI value of each link. Finally, a given number of real critical links are identified from the candidate critical links using the traditional full-scan method. The applicability and computational efficiency of the TFBI-based approach are demonstrated for the road network in Changchun, China.

Multi Constraints Optimal Path based on Routing Protocols in VANETs

Vehicular Ad-hoc network (VANETs) is a type of ad hoc network which has faced many challenges for its implementation such as Technical issues which include are Large Size area, Routing, Security, Congestion, High Mobility, Limited road topology, Intermitted connectivity, Continuous power transmission for significant computing communication & sensing of the network & On road issues include narrow road, unstructured road, all roads are not allowed for all vehicles, busy road, no defined speed on road, no road maintenance, high frequency of accidents, poor sign board, no road side amenities, multiple numbers of toll booths etc. In order to enhance the performance of the desired real time network link between the nodes must be stable and reliable so that information can be transmitted reliably to the desired destination. This paper has experimentally studied the optimal path for different routing protocols in VANETs. This paper clearly concludes which routing protocol is better under different parameters such as number of hops, average hop count, total packet send and received for the realistic environment.

Land art therapy, a return to the essence of the creative process

Nature and humans are inseparable creators. Since time immemorial, humans have created in nature to express themselves, unburden themselves, heal themselves and transform themselves. By providing the conditions for rediscovering this form of authentic creative expression, land art therapy enables anyone whatever their problem (psychosomatic disorders, psychological pathologies, addictive behaviour, etc.) to liberate their stifled body, to rediscover their vital force, to reconstruct a real link between the body and the mind and to become a subject again.

Общности суффиксов, образующих от глаголов именные части речи в кыргызском и чагатайском языках

In Kyrgyz linguistics, texts and translations of written monuments have been studied and studied by language commentaries. However, despite the fact that some opinions have been expressed in Kyrgyz linguistics about the Chagatai language used by the Kyrgyz during the XVII-XIX centuries and about the works written at that time, there are still almost no research works. To this end, this article, based on the works of Russian and foreign scientists, on the basis of comparative-historical method, studied word-forming suffixes that produce nominal parts of speech from verbs (noun, adjective, numeral and pronoun), Chagatai and modern Kyrgyz language. In it, specific examples indicate the units of their functions. As a result, according to the facts given in the article, over time, the word-forming suffixes of the Chagatai language were subject only to phonetic changes, while most suffixes are still stable. This is due to the fact that the forms that make up the grammar system in comparison with the vocabulary that makes up the dictionary system of the language remain unchanged for a long time. Therefore, conclusions were made about the need to study the materials of the modern Kyrgyz language on the basis of historical linguistic facts, as a special object of research on the issues of proximity, kinship with the Chagatai language. After all, under the conditions of sovereignty, we must thoroughly study the nature of our writing, which in our history has not yet been paid attention to, which has remained out of our field of vision and has not been studied in accordance with the requirements of the time. Research in this direction can contribute to a comprehensive understanding of the real links between the present and the past of the language and culture of the Kyrgyz people, the restoration of its unique, unique customs and attitudes.

Analysis of the spatial cascading effect in networks

Reality networks such as power grids and social networks can be spatially embedded. In this paper, we focus on the spatial cascading effect in such networks. The spatial cascading effect is that the failure of one node may cause other nodes that are close to it in space to fail. The phenomenon is very common, such that a person is more likely to have an impact on his neighbors even if he is not connected with his neighbors via social networks. Based on this, we construct a spatial cascading model to simulate the spatial cascading effect. In addition, we apply the exponential distribution [Formula: see text] to fit the real link distances. The networks are generated by two-dimensional lattices. We define two kinds of connections, namely actual spatial connections. The actual connections are links generated by the exponential distribution. The spatial connections are links in the lattice. Simulations show that the spatial embeddedness makes networks more robust in our model, which is different from previous research results. We put forward an algorithm to alter the link distances in the networks without changing node degree values. Using the algorithm verifies our conclusion that if nodes tend to connect with local nodes, networks will be robust to the spatial cascading effect. We further extend our model to a more general form. The nodes embedded in lattice can be sparse, which means that the existing probability of nodes in the lattice is not always 1. The networks in the extension model are more vulnerable compared to those in the original model.

Общности слов, связанных с пищей в чагатайском и тюркских языках

In connection with the development of each of the adjacent languages as national, there are commonalities along with the specifics. Such commonalities are clearly expressed and noticeable in the comparison of related languages among themselves. To this end, this article examines what took place and were used in the Turkic languages in the XV–XIX centuries, the words in the Chagatai language associated with food and have become archaisms today. In this particular example of generalization, the use of the Chagatai language as a literary written language in the XV–XIX centuries was proved by a number of Turkic Muslims with different linguistic and dialectical differences: Kyrgyz, Khakass, Altaians, Kazakhs, Uighurs, Uzbeks, Turkmens, Karakalpaks, Tatars, Bashkirs and other peoples. As a result, was confirmed the correctness of the views that the Chagatai script is the heritage of all Turkic peoples. At the end of the work, based on the works of the above-mentioned scientists, it was concluded that the studies in this direction are able to fully realize the real links between the present and the past of the culture and language of the Turkic people and will create prerequisites for further restoration of these customs, without losing their uniqueness, uniqueness.

Informational Channels of Financial Contagion

Two main classes of channels are studied as informational sources of financial contagion. One is a fundamental channel that is based on real and financial links between economies, and the second is a social learning channel that arises when agents base their decisions on noisy observations about the actions of others in foreign markets. Using global games, I present a two‐country model of financial contagion in which both channels can operate and I test its predictions experimentally. The experimental results show that subjects do not extract information optimally, which leads to two systematic biases that affect these channels directly. Base‐rate neglect leads subjects to underweight their prior, and thus weakens the fundamental channel. An overreaction bias strengthens the social learning channel, since subjects rely on information about the behavior of others, even when this information is irrelevant. These results have significant welfare effects rooted in the specific way in which these biases alter behavior.

Wireless Transmitter Identification Based on Device Imperfections

Mining useful patterns from databases is an important research topic. The research in utility mining mostly focuses on discovering patterns of high value in large databases, and analyzing the important factors in a data mining process. This idea is applied to the wireless device identification in this paper. Radio Frequency Fingerprint (RFF) reflects differences between transmitter hardware components. It contains rich non-linear characteristics of the internal components of the transmitter. Small differences and inaccuracies in the manufacturing process determine the unique characteristic contained in the transmitted signal. The device can be identified by the signal transmitted by the wireless device. In this paper, the generation mechanism of RFF is analyzed and two pattern mining algorithms are used to extract useful information from wireless signals for device identification. Then, a real communication transmitter link is established to study the effect of different components of a transmitter. The signals are acquired from the transmitters with different components replaced, including the amplifier, the bandpass filter, and the local oscillator. Finally, the influence of different components and pattern mining methods are evaluated.

Application of the institutional rebrending mechanism as a social strategy for renewal of the public organization

Problem setting . One of the effective tools of interpersonal interaction is the prospect of becoming public organizations, which, in our opinion, should be given priority in fulfilling the social tasks of the state and society. Their potential is clearly underestimated, and institutional subjectivity and methodological demand are not fully motivated. Therefore, there is a question about developing and applying a public strategy of updating a public organization as a socially oriented and socially useful entity in the conditions of decentralization of power, which can be an impetus to innovative perception of the place and role of public self-organization in public-state relations. Recent research and publications analysis. When starting an analysis of the rebranding process, you should first clearly understand the concept of “brand” in our thematic disposition. First of all, the branding process is characteristic of the economic, economic and business sphere, where particular importance is attached to the quality of goods or services and their marking (mark, sign, symbol, etc.) is highly appreciated. This is a sign of competitiveness and rating hierarchy. Some researchers consider branding as even a long-term strategy of the organization. However, in our case, we study the socially-oriented functional capabilities of such a civil society institution as a public organization, and consider it a kind of public brand that is subject to renewal, in accordance with the requirements of time and public-state inquiries. In this context, the materials of N. Pigul and D. Pospelovsky also came in handy. Highlighting previously unsettled parts of the general problem. Much attention should be paid to the search for a new face for social transformation providers, including those we see as a public organization. This institution of civil society must conform to the newest format of its positioning in socio-economic and socio-political processes, be subjectively static, fulfill the tasks of a real link between state power and civil society and promote primarily socially oriented ones. Therefore, we consider it necessary to develop a strategic approach to the application of the process of “institutional re-branding of a public organization”, which lays down the procedure for updating the named institution of civil society and traces the conditions of state assistance to its intended purpose in the current conditions of decentralization of administrative powers and administrative-territorial changes. Paper main body . However, this requires a dramatic change in the institutional position of the public organization in the social environment and a process of updating its brand. In this case, the public organization becomes a socially useful phenomenon of public-management relations, on the one hand, and the state provides targeted assistance to its development, on the other. Therefore, we propose to carry out institutional re-branding of a non-governmental organization in case of several relevant factors at that time. We propose to introduce into scientific circulation the concept of “institutional rebranding of a public organization”, by which we mean a set of certain wellness measures aimed at changing the socio-organizational quality of its functional capacity and constituent elements that enhance the role and place of associations of citizens in a socially oriented state. First of all, it is about the ideology of socially useful activity and positioning, the perception of public organization in society and the state as a social and socially significant phenomenon. In this case, institutional rebranding is aimed at changing the way in which the organizations operate in society and their perception, which has developed earlier in the minds of citizens. In our opinion, the implementation of institutional rebranding allows to bring the public organization in line with contemporary social requirements and requests, transformation of its purpose, brand, dynamics of development of the state and society and prospects of activating the role of the factor of self-organization in the life of citizens. Thus, first of all, the changes concern a new approach to the role of public organization in the life of society and strengthening its social purpose. At the same time, the legal status and type of public formation (public association) of the organization is practically unchanged, and institutional rebranding is aimed at transforming the socially-oriented essence of society and its subjective socially useful expression in society and the state. Conclusions of the research and prospects for further studies. Institutional rebranding of a non-governmental organization is a modern production necessity arising from the conditions of civil society development, democratic reforms in Ukraine, and especially the decentralization of the public administration system with elements of public-management innovation. In our opinion, the renewal of the institutional image of a non-governmental organization is a kind of request of modern Ukrainian society and an auxiliary factor of fulfillment of socially oriented state-building tasks before citizens.

Spatial pricing with multiple risk transmission channels and specific factors

This study synthesizes interactions among real link and informational risk transmission channels to construct a spatial weight matrix and considers the effects of specific factors on returns through such interactions. We propose a spatial pricing model with multiple risk transmission channels and specific factors. The empirical results of an application of the spatial pricing model to industry assets in the Chinese stock market show that (1) the interaction plays a significant role in explaining asset return. The multiple risk transmission channels based spatial weight matrix improves the performance of the spatial pricing model, and specific factors further improve the performance; (2) the feedback effects and indirect effects of specific factors indicate the importance of interaction and specific factors in the pricing model; and (3) the spatial pricing models are asymmetric in different regimes.

Qualitative Analysis of the Relationship Between Teachers and Students`not-Knowing in the Process of Solving Reasoning Tasks

Mason and Spence’s (1999) work demonstrate a detailed view into the concept of knowing. Although they highlight the importance of not-knowing as a first step, it is a topic that is not well researched. This study aims at expanding that research, by analyzing not-knowing expressions from teacher to student and possible connections to be found. During a course of geometric reasoning student teachers were asked to reason with a tangram while simultaneously recording their expressions of not-knowing and reflecting on it periodically. Student teachers were then tasked to teach this lesson to their students, who would also reflect and express their forms of not-knowing. Findings presented no real link between teacher-student expressions of not-knowing, but two major conclusions were made. Individuals altogether struggle conveying their not-knowing clearly and when they did express it, these expressions leaned heavily on not-knowing-that and not-knowing-how forms. A discussion follows to interpret said findings. A conclusion is made detailing key points in the study and what comes next for the concept of not-knowing.

Generative dynamic link prediction.

In networks, a link prediction task aims at learning potential relations between nodes to predict unknown potential linkage states. At present, most link prediction methods are used to process static networks. These methods cannot produce good prediction results for dynamic networks. However, for most dynamic networks in the real world, the vertices and links of these networks change over time. Dynamic link prediction (DLP) has attracted more attention as it can better mimic the evolution nature of the networks. Inspired by successful applications of the generative adversarial network in generating fake images, which are comparable with the real ones, we propose a novel generative dynamic link prediction (GDLP) method. Different from other DLP methods, we model the link prediction task as a network generation process. More specifically, GDLP utilizes the historical networks structure information to generate the network snapshot of next time stamp by an end-to-end deep generative model. This model contains a generator and a discriminator. The generator of GDLP is a spatiotemporal prediction model, which is responsible for generating the future networks based on the historical network snapshots, while the discriminator is a classification model to classify the generated networks and the ground-truth ones. With the two-player game training and learning strategy, GDLP is capable of accurate prediction for dynamic networks using the structural and temporal information. Experimental results validate that GDLP significantly outperforms several existing baseline methods on many types of dynamic networks, which improves the effectiveness of dynamic link prediction.