Message Transformation Research Articles

Transformasi Penyampaian Pesan Harian Rakyat Maluku Dalam Mendapatkan Iklan dan Advetorial

This study was aimed to determine and analyze the transformation of daily message delivery of the people of Maluku in getting advertisements and advertorials. The method used is qualitative research with a case study research method. The data collection used in-depth interview, observation, and document study. Data analysis used discourse analysis by observing and analyzing how messages are structured in the daily print media Rakyat Maluku. The results showed that 3 transformations of delivery were conducted by the daily Rakyat Maluku in obtaining advertisements and advertorials, namely Template Ads (Banner Ads), Insert Ads, Advertorial through social media. The transformation of messages conducted did not even switch off print media as the main business choir. Digital and print media were successfully integrated to achieve the company's target.

Underlying mechanisms for physical activity-induced brain plasticity

Physical activity is an important component in daily life which become more important when comes to health-related complications. Physical activity regardless the type and intensity, can bring beneficial effect for general health and can improve skills in several aspects including learning tasks and response to stimuli along with other health benefits. By recruiting regular physical activity and exercise, which happened for athletes, some structural and functional changes may occur in some regions of brain including increase in network connection, increase the speed of message transformation, increase in gray matter, synaptic plasticity and brain plasticity. There are several suggested mechanisms for physical activity-induced brain plasticity including increase in gene expression, BDNF, IGF-1, VEGF and activation of cellular cascade. Although the beneficial effects of physical activity on brain flexibility is well known which is reviled in athletes, the most effective type of activity which can affect brain flexibility the most, is not clear yet.

TARGAT: A Time-Aware Relational Graph Attention Model for Temporal Knowledge Graph Embedding

Temporal knowledge graph embedding (TKGE) aims to learn the embedding of entities and relations in a temporal knowledge graph (TKG). Although the previous graph neural networks (GNN) based models have achieved promising results, they cannot directly capture the interactions of multi-facts at different timestamps. To address the above limitation, we propose a time-aware relational graph attention model (TARGAT), which takes the multi-facts at different timestamps as a unified graph. First, we develop a relational generator to dynamically generate a series of time-aware relational message transformation matrices, which jointly models the relations and the timestamp information into a unified way. Then, we apply the generated message transformation matrices to project the neighborhood features into different time-aware spaces and aggregate these neighborhood features to explicitly capture the interactions of multi-facts. Finally, a temporal transformer classifier is applied to learn the representation of the query quadruples and predict the missing entities. The experimental results show that our TARGAT model beats the GNN-based models by a large margin and achieves new state-of-the-art results on four popular benchmark datasets.

Automated HL7v2 LRI informatics framework for streamlining genomics-EHR data integration

While VCF formatted files are the lingua franca of next-generation sequencing, most EHRs do not provide native VCF support. As a result, labs often must send non-structured PDF reports to the EHR. On the other hand, while FHIR adoption is growing, most EHRs support HL7 interoperability standards, particularly those based on the HL7 Version 2 (HL7v2) standard. The HL7 Version 2 genomics component of the HL7 Laboratory Results Interface (HL7v2 LRI) standard specifies a formalism for the structured communication of genomic data from lab to EHR. We previously described an open-source tool (vcf2fhir) that converts VCF files into HL7 FHIR format. In this report, we describe how the utility has been extended to output HL7v2 LRI data that contains both variants and variant annotations (e.g., predicted phenotypes and therapeutic implications). Using this HL7v2 converter, we implemented an automated pipeline for moving structured genomic data from the clinical laboratory to EHR. We developed an open source hl7v2GenomicsExtractor that converts genomic interpretation report files into a series of HL7v2 observations conformant to HL7v2 LRI. We further enhanced the converter to produce output conformant to Epic's genomic import specification and to support alternative input formats. An automated pipeline for pushing standards-based structured genomic data directly into the EHR was successfully implemented, where genetic variant data and the clinical annotations are now both available to be viewed in the EHR through Epic's genomics module. Issues encountered in the development and deployment of the HL7v2 converter primarily revolved around data variability issues, primarily lack of a standardized representation of data elements within various genomic interpretation report files. The technical implementation of a HL7v2 message transformation to feed genomic variant and clinical annotation data into an EHR has been successful. In addition to genetic variant data, the implementation described here releases the valuable asset of clinically relevant genomic annotations provided by labs from static PDFs to calculable, structured data in EHR systems.

What Characterises an Effective Mindset Intervention in Enhancing Students’ Learning? A Systematic Literature Review

In recent years, increasing attention has been paid to interventions designed to enhance individuals’ sustainable development in learning by priming a growth mindset. The current study systematically explored the characteristics of message transformation in growth mindset interventions from the perspective of teaching and learning. According to a three-phase literature search (database, prominent researchers, and backtracking references), thirty-eight empirical studies investigating the efficacy of mindset interventions for adolescents of school age constitute the sample for the current literature review. The results indicate that a supportive but not-completely-saturated learning environment paves the way to implementing a mindset intervention. The three pedagogical characteristics that ensure successful interventions are: (1) Mutual interaction among the person, the context, and the theory to generate the message; (2) Iterative processes to ensure the message is delivered; and (3) a persuasive yet stealthy approach to facilitating its internalization. The findings inspire educators to design effective mindset interventions to enhance students’ learning. Theoretical and practical implications, limitations, and future directions are discussed.

Distance Enhancement of Quantum Cryptography through MANET

In the modern technology world, the cryptographic techniques are plays a major role. There are so many modern cryptographic algorithms are used to secure information through message transformation. Quantum cryptography evolved from the merging of physics and cryptography to reduce the threat that encryption encounters. It is one of the emerging fields in the computer technology. The primary objective of quantum cryptography research is to develop cryptographic algorithms and protocols that are resistant to quantum computer attacks and increase the communication distance. The various quantum cryptography protocols are demonstrated, as well as how this technology has led to the establishment of secure communication between sender and the receiver through using of MANET. We will look at the properties of quantum cryptography and the benefits of MANET it can provide in the future internet. One of the best ways for increasing the distance of message transmission over the internet is to use MANET in the field of quantum cryptography. An Ad hoc on demand distance vector (AODV) is a routing protocol for Mobile Ad hoc networks

The Discourse of Propaganda: Case Studies from the Persian Gulf War and the War on Terror

The Discourse of Propaganda: Case Studies from the Persian Gulf War and the War on Terror

Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy

Advances in communications, storage and computational technology allow significant quantities of data to be collected and processed by distributed devices. Combining the information from these endpoints can realize significant societal benefit but presents challenges in protecting the privacy of individuals, especially important in an increasingly regulated world. Differential privacy (DP) is a technique that provides a rigorous and provable privacy guarantee for aggregation and release. The Shuffle Model for DP has been introduced to overcome challenges regarding the accuracy of local-DP algorithms and the privacy risks of central-DP. In this work we introduce a new protocol for vector aggregation in the context of the Shuffle Model. The aim of this paper is twofold; first, we provide a single message protocol for the summation of real vectors in the Shuffle Model, using advanced composition results. Secondly, we provide an improvement on the bound on the error achieved through using this protocol through the implementation of a Discrete Fourier Transform, thereby minimizing the initial error at the expense of the loss in accuracy through the transformation itself. This work will further the exploration of more sophisticated structures such as matrices and higher-dimensional tensors in this context, both of which are reliant on the functionality of the vector case.

POLITICAL COMMUNICATION IN A MULTICULTURAL SOCIETY (ON THE EXAMPLE OF KAZAKHSTAN)

Currently, research in the field of political communication in a multicultural society has intensified in the Republic of Kazakhstan, the Russian Federation and other CIS countries. The study of the socio-political and cultural foundations of political communication in the post-Soviet space, through the prism of the peculiarities of the political system of the Republic of Kazakhstan, is an important step for predicting the further development of political communication in a multicultural society. Reforms in this area require a detailed study of this problem in a multicultural society. In the modern conditions, some trends in political communication in multicultural pluralism are decisive. At the same time, it consists in the transformation of digital messages. People often cant adequately navigate modern political technologies. A large flow of information is regularly covered in the mass media. Another trend of political communication in a multicultural society is the complete subordination of the available information to the ideological plan. The republican mass media for the development of political communication in a multicultural society are characterized by the following features: the creation of creative publications, social movements, the strengthening of a civilized civil society, the exclusion of unfair PR technologies in pre-election political campaigns.

A new approach of classical Hill Cipher in public key cryptography

Secure message transformation promote the creation of various cryptography systems to enable re???ceivers to interpret the transformed information. In the present age of information technology, the secure transfer of information is the main study of most agencies. In this study, a particular symmetric cryptography system, Hill Cipher method, is enhanced with the help of encryption and decryption algorithms of the asymmetric RSA cryptography system to avoid certain problems. Previous results show that the original Hill algorithms are still insufficient because of their weakness to known plaintext attack, and a modification of the Hill Cipher cryptography system is therefore presented to increase its invulnerability. The enhancement focuses on implementing the RSA algorithms over the Hill Cipher to increase its security efficiency. The suggested method relies on the security of the RSA and Hill Cipher cryptosystems to find the private decryption keys, and thus is much more secure and powerful than both methods applied separately. Also secure and dynamic generation of the Hill Cipher matrix instead of using static matrix are proposed. This new approach is composed of a public key cryptosystem that has a shared secret key (between participants only), public key (announced to all), and two private keys (for each person). Therefore, this new modification can increase the invulnerability of the Hill Cipher against future attacks during transmission of information between agencies in this age of information technology

Web Service Adaptation for the Customization of Early Alerts in Agriculture

Early warning systems are designed to inform the largest number of users, such as a country or a region, about a risky situation. However, in specific domains such as agriculture, it is commonly required for these alerts to be more specific according to the crops location and their properties. Consequently, the web services of these systems must be adapted. On the other hand, the enterprise services bus, with its mediation capabilities (such as message transformation and routing), and complex event processing with their monitoring characteristics, can be integrated to meet the adaptation requirements of web services at runtime. This paper presents an improvement for an early warning system for coffee production that, according to the area in which a crop is located and its phenology, manages the adaptation of alerts for coffee rust, based on the integration of an enterprise services bus and a complex events processing.

SPCACF: Secured Privacy-Conserving Authentication Scheme using Cuckoo Filter in VANET

Providing security for vehicular communication is essential since the network is vulnerable to severe attacks.The message authentication between vehicles and pavement units are essential for the purpose of security. Messages that passed between the vehicles should be encrypted and verified before the vehicle nodes could be trusted. The original identity of nodes can only be traceable by authorized parties and should not be exposed at any cause. However authentication between vehicles during message transformation does not guarantees message authentication rate accurately. To address these issues, the SPCACF scheme is proposed which is based on software devoid of relying on any particular hardware. Binary search algorithm is added in partial with Cuckoo Filter to achieve higher accomplishment than the preceding schemes in the batch wise verification phase. In order to guarantee that it can assure message authentication constraint, existential enforceability of underlying signature against adaptively chosen-message attack is proved under the positive filter pool method.

Intrusion detection system using hybrid tissue growing algorithm for wireless sensor network

Wireless Sensor Networks have turned into a principal determination of various critical applications, like, target following, modern robotization, and message transformation etc. Commonly, a WSN comprises of an extensive number of small, low-cost sensor hubs that are conveyed in the target range for gathering information of intrigue. But, secure data packets transmission is the main critical issue –− + in this network because WSNs vulnerable to malicious attacks such as black hole and warm hole. In this paper, Hybrid Anomaly Detection Systems (HADS) called as Artificial Immune System is proposed in the WSNs. In this framework, developinga novel intrusion detection algorithm using Hybrid Tissue Growing Algorithm (HTGA) for identifying theanomalies presence cell and efficiently the communication tissue structure for transmitting the data packets is done. This algorithm is applied into two different developments such as Networked Tissue Growing (NTG) model and the Swarm Tissue growing (STG) algorithm. Both are autonomous in the capacity to create cautions in term of recognizing abnormalities in the route sections. The complexity calculation is primary nature depends onthe number of entry in the neighbor table and route discovery. If the tissue, predicts a week cell and then automatically rejects that cell for preventing from an intruder. The network based calculation expressly keeps up the cell in a dynamic clustering nature. This paper intends to make a relevantly mindful IDS by joining the idea of tissues, which will gives a more vigorous, versatile and precise security against assaults in interloper assaults in the sensor network. The simulation results of the proposed HADS technique is compared with the existing techniques such as LDTS, EED-M, and the NTMS-DS. Hence, the proposed HADS framework achieves greater performance than the existing methods.

Data replication mechanisms in the peer‐to‐peer networks

SummaryPeer‐to‐peer (P2P) network is a distributed network in which nodes with similar capabilities exchange information with each other. Due to the nature of the P2P network distribution, numerous network message transformation is required to exchange the data between nodes over the network, which may increase access latency. Because of the high amount of the stored data in the P2P networks, the replication of data is very important. A large amount of data is handled using data replication to increase data access, reduce access latency, and increase data availability. This issue has an important role in the P2P networks, but there is no complete and systematic research in this field. Therefore, this paper aims to provide a comprehensive study of data replication mechanisms in the P2P networks. The 1027 papers have been identified and have been reduced to 213 main studies using the paper selection process. Moreover, in this paper, the major advances are reviewed in four main groups (structured, unstructured, super‐peer, and hybrid networks), and the new challenges are also highlighted. Moreover, the open issues and guidelines for future studies are presented.

Трансформация фиктивных посланий в XX веке

Трансформация фиктивных посланий в XX веке

Dramaturgi Komunikasi Dakwah Para Da’i di Kota Ambon: Pola Pengelolaan Kesan di Panggung Depan

This article discusses the pattern of impression management carried out by the da'i on the front stage in an effort to improve the quality of message transformation to mad’u. Through a good impression management, the persua­sion process occurs which allows the conveyed messages to be well received by mad'u with fullly awareness, not by force. Using dramaturgy approach, researchers conducted participatory observation and in-depth interviews towards 15 da'is in Ambon City who were chosen purposively. This study has revealed that during proselytizing, the da'is manage the impression on the front stage by utilizing verbal and nonverbal communication through the management of situational, planned, and spontaneous impressions.

Dramaturgi Komunikasi Dakwah Para Da’i di Kota Ambon: Pola Pengelolaan Kesan di Panggung Depan

This article discusses the pattern of impression management carried out by the <em>da'i</em> on the front stage in an effort to improve the quality of message transformation to <em>mad’u</em>. Through a good impression management, the persua­sion process occurs which allows the conveyed messages to be well received by <em>mad'u</em> with fullly awareness, not by force. Using dramaturgy approach, researchers conducted participatory observation and in-depth interviews towards 15 da'is in Ambon City who were chosen purposively. This study has revealed that during proselytizing, the <em>da'is</em> manage the impression on the front stage by utilizing verbal and nonverbal communication through the management of situational, planned, and spontaneous impressions.

Model checking of timed compatibility for mediation-aided web service composition: A three stage approach

Currently, modeling and analyzing timed compatibility of Petri net based mediation-aided Web service composition by model checking are attracting increasing attention in the expert and intelligent systems community. However, existing methods cannot handle mediation-aided Web service composition involving complex mediation transitions, suffer from low efficiency owing to the larger size of time automata (TA) models, or are unable to automatically check temporal constraints whose activities do not include exchanged messages by observing TA. In this paper, we present a novel three-stage approach for analyzing timed compatibility of mediation-aided Web service composition via model checking. First, stage 1 treats each service in Petri net based mediation-aided Web service composition as a fragment. Second, stage 2 transforms fragments into a time automata net (TAN) based on structure transformation and interactive message transformation. Finally, stage 3 checks all types of temporal constraints. The main impact of our approach on expert and intelligent systems involves the following aspects: 1) mediation-aided service composition with complex mediation transitions can be dealt with; 2) compact TAN can be constructed for fragments in which the number of states and arcs is dramatically decreased and the verification time is extremely reduced compared with existing methods; and 3) temporal constraints whose activities have or do not have exchanged messages can be located in TAN. The main significance of our approach in the field of expert and intelligent systems is that it can greatly reduce the risk of making business decisions and the cost of handling temporal violations, and improves the innovation capability of enterprises.

Bacterial communication systems: A mathematical formulation of negative chemotaxis

SummaryThe emergence of molecular communication (MC) has provided a new paradigm for communication at nanoscale, besides the electromagnetic one. Numerous biological systems have been proposed that could be used for communication, using mostly bacteria as information carriers, ensuring biocompatibility and low complexity requirements. In this work, message dissemination dynamics in a bacterial communication system was under investigation by means of a simulation framework that was designed and developed based on a commercial tool. A mathematical formulation is proposed, in an effort to accurately predict the system's behavior under the presence of chemotactic‐like nodes. Simulation results are in strong agreement with the respective mathematical model, for a wide range of biological processes, including phenomena such as chemotaxis, bacterial growth cycle, and biological message transformation dynamics. In the case of a simple simulation scenario exhibiting chemotaxis, the mean accuracy improvement reaches values of up to 19%.

Web Streaming TVUPI as Modern Communication Model And Contribution To Learning Quality

Web streaming TVUPI as a modern campus communication model developed for 2 years through design, testing, revision, dissemination, and measuring its contribution to the quality of learning. Through modern campus communication model, it is expected that all parties both on national and international scale would be able to interact quickly and appropriately in meeting the information needs of UPI. Development of TVUPI as a communication model involves scholars who support, particularly, from the communication science. Thus, practically and scientifically, Web streaming TVUPI is qualified for a modern campus communication model. The method used is Research & Development (R&D) during the design process. Whereas, testing and revision is done along with the lecturing process, considering that this research is on research group's scientific which should integrate the research process with the improvement of learning quality. In addition, TVUPI has access address of http://tv.upi.edu, intended to support the management of message transformation in order to imaging UPI at national and international level.