Numerous Messages Research Articles

Personalizing Communication of Clinicians with Chronically Ill Elders in Digital Encounters-A Patient-Centered View.

Chronically ill elderly patients are concerned about losing the personal connection with clinicians in digital encounters and clinicians are concerned about missing nonverbal cues that are important for the diagnosis, thus jeopardizing quality of care. This study validated the expectations and preferences of chronically ill elderly patients regarding specific communication messages for communication with clinicians in telemedicine. The sample comprised 600 elderly chronically ill patients who use telehealth. We used a conjoint-based experimental design to test numerous messages. The outcome variable is elder patient expectations from communication with clinicians in telemedicine. The independent variables were known categories of patient-clinician communication. Respondents rated each of the 24 vignettes of messages. Mathematical clustering yielded three mindsets, with statistically significant differences among them. Members of mindset 1 were most concerned with non-verbal communication, members of mindset 2 prefer communication that enhances the internal locus of control, and members of mindset 3 have an external locus of control and strongly oppose any dialogue about their expectations from communication. The use of the predictive algorithm that we developed enables clinicians to identify the belonging of each chronically ill elderly patient in the clinic to a sample mindset, and to accordingly personalize the communication in the digital encounters while structuring the encounter with greater specificity, therefore enhancing patient-centered care.

Efficient selfish node detection using SVM in IoT‐MANET environment

AbstractThe communication between nodes in the Internet of Things‐based mobile ad‐hoc networks environment is typically dependent on their selfless attitude. Whenever a node needs to send a message to another node in the network, it needs the help of one or more nodes to act as a router(s) that will bridge the gap between the source and the destination. All these selfless forwarding's require energy, bandwidth, and other resources. Therefore, some routers often raise a link breakage attack to save their resources. They keep silent after receiving a message; neither they acknowledge it nor they forward it. These selfish nodes must be identified and carefully avoided while choosing routes; otherwise, numerous messages will have to be resent, including control messages like route‐request. The identification depends on the past behavior of the node as well as velocity, the direction of movement, current geographical location and so forth. This article presents a support vector machine‐based node classification method that checks whether nodes are intentionally issuing a link breakage attack or it is really out of the radio range of its predecessor. The simulation results of the proposed method demonstrate that the proposed technique can correctly detect most of the selfish activities in the network and that also in much lesser time. It also enhances the packet delivery ratio and reduces delay and energy consumption.

Valuing and Risk Analysis for Supply Chain Management

This research presents the contribution of profitability and asset utilization to a firm's value generation from a financial market viewpoint via slack-based measure network data envelopment analysis (SBM-NDEA). Despite its superiority in performance measurement, SBM-NDEA has a limitation when confronted with new added datasets as it lacks predictive ability. To overcome this, the authors integrate twin support vector machine into it. A manager's attitude toward risks also plays an essential role in efficiency improvement and value generation, but numerical messages do not convey such information. Textual messages with elastic natures thus bring information beyond just numerical messages. To assist users in quantifying risk types, the authors introduced an advanced text analyzer to conjecture a manager's attitude toward each risk. The results show that the performance evaluation model with forecasting capability can shift the manager's role from monitoring the past to planning the future. This study also demonstrates that the model with textual information reaches superior forecasting performance.

Design of gorilla troops optimizer‐tuned 2DOF‐PID controller to improve the frequency response of centralized‐control technical virtual power plant

AbstractThis work presents an enhanced frequency control model of a centralized‐control technical virtual power plant (TVPP) with distributed energy resources (DERs). To provide frequency control support, a centralized TVPP is exposed to communication delays because of the numerous message exchanges between the grid operator, the VPP operator, and the DERs. The VPP operator also imposes dead band restrictions on the droop control signal to avoid frequent activation of sensitive DERs. The literature lacks the frequency control models of VPP that can handle these delay and dead‐band issues. This work attempts to incorporate frequency dead‐band and communication delays in the primary (droop control) and secondary control (ACE control) loop for the DERs in the VPP. In addition, a control approach based on 2DOF‐PID controllers tuned by a recently developed artificial gorilla troops optimizer (GTO) is employed to control the frequency of the VPP model. The GTO algorithm performs better on comparative assessment than the other classical optimization algorithms. Under dynamic performance evaluation, the 2DOF‐PID controller outperforms the GTO‐optimized PID and PI controllers. Finally, the sensitivity analysis results show that the proposed GTO‐optimized 2DOF‐PID controller for the VPP model is robust against uncertainties in the system.

A content analysis of alignment messages to the Next Generation Science Standards

Teachers are a critical component to standards-based reform systems, which require that reforms conceived at the national level pass through several layers of the educational system before impacting learning in the classroom. The Next Generation Science Standards (NGSS) are an example of this type of reform and pose significant challenges for alignment between levels given their three-dimensional nature alongside inclusion of ambitious and novel reform ideas. To examine translation of NGSS reforms across levels, we provide a content analysis of alignment messages conveyed to teachers through practitioner literature. Analysis indicates some coherence with national messaging around alignment to performance expectations and science and engineering practices. Additionally, alignment to broader reform ideas like engaging in science practices, integration, engineering, and focus on phenomena were represented to teachers. However, qualitative analysis of these representations indicate that reforms are often superficially portrayed, variably defined, or missing altogether. Findings indicate that teachers receive numerous messages regarding what it means to align to the NGSS and few elaborations on how to operationalize reforms. Our work suggests a need for intentional consideration of how to design representations for practitioners that consider teacher sensemaking around novel reforms. Additionally, we see a need for further development of coherence among the research community regarding alignment to the NGSS and agreement on definition of key reform ideas. Future work should consider how teachers use and understand these representations as they enact the NGSS in their local contexts.

Islamic Educational Values in Local Wisdom Traditional Tradition of Mappogau Sihanua Karampuang Sinjai District

Objective: this research is a preliminary study that aims to describe the process of implementing traditional ceremonial traditions and Islamic values and the impact of acculturation of Islamic education on Mappogau Sihanua Karampuang. Method: This study uses field research with a descriptive qualitative approach. Data collection techniques are observation, interviews, and documentation. The subjects in this study were ten community leaders directly involved in implementing the Karampuang traditional ceremony and two educators. Results: This study found that in the Mappogau Sihanua tradition, several ritual processes must be passed, namely: Mabbahanang is deliberation, Mappaota. It is a request for permission or blessing. Mabaja-baja is cooperation to clean houses and traditional locations, menre ri fur (going up to the top of a mountain to release vows), mabbali sumange, preparing traditional medicines, and Malling is a prohibition on slaughtering livestock. The most numerous messages of value in the Mappogau Sihanua Karampuang time-honored tradition are moral values such as respecting each other, preserving the environment, respecting leaders, cooperation/helping each other, ukhuwah, and friendship values. Novelty: The novelty in this study is that the values of Islamic religious education can have a positive impact and give the Karampuang community new perspectives on something new in behavior.

LEKSIČKA SREDSTVA ZA ISKAZIVANjE NESLAGANjA SA SAGOVORNIKOM U DRUŠTVENIM MEDIJIMA

The aim of this paper was to analyze the arguments in debates on the top- ic of popular science in Serbian language. More precisely, we intended to focus on popular science approach to linguistic topics by investigating comments on social media platforms and discussions on a very popular website. The corpus encompasses numerous messages posted on Instagram (account: Dnevna doza pravopisa [A daily dose of orthography]) and Facebook (group: Jezičke nedoumice [Linguistic dilemmas]), as well as discussions on the website Krstarica (forum: Jezik [Language]). A lexical analysis of a specific type of com- ments was performed; namely, those expressing a broad spectrum of negative attitudes, from disagreement to abuse. Both competent and incompetent participants take part in the discussions on Serbian language, with the aim of promoting linguistic knowledge and its application, as well as of expressing dilemmas and personal opinions about linguistic issues. With regard to lexical devices, the most frequent are English loanwords, obscenities and jargonisms, as well as insulting words, mostly in the form of a lexical metaphor.

Language and peace on WhatsApp and Facebook messages on the Anglophone crisis in Cameroon

This study set out to explore the promotion of peace by some social media messages related to the ongoing crisis in Southern Cameroons. Focus is on the lexical choice and style that show ways out of the warped communication out of language crisis, and the possible impacts of the messages on the readers’ minds of Cameroonians and other world citizens. The theory of Critical Discourse Analysis (CDA) by Fairclough (1989, 1992, 1995a, 1995b) guided the analysis of the data (150 messages) collected from 75 participants (45 males and 30 females) both from WhatsApp (100) and Facebook (50) posted by Cameroonians from the English-speaking part. The researcher and the field assistants used the Android phone to collect these data. Results reveal that there is an intensive war of words and words of war almost every line of the e-messages from either of the platforms. The numerous messages of peace are overshadowed and outnumbered by verbal bullying and the tense mood in the discourses. Some messages advocate national unity and push readers to think of peaceful co-existence. Therefore, readers are served with messages that feed them with bitterness about the current affairs in the country and accept war for peace to reign; in other words, the messages of peace are likely to recruit less militants than the words call for uprising. Key words: Peace, WhatsApp and Facebook messages, CDA, Anglophone crisis, ideology

“Sauins” on touchscreens: social media as a tool for pied tamarin conservation awareness


 
 
 Conservation is only possible when conservation thinking and awareness permeate people's lives. Communication is key to informing and sensitizing people to conservation issues. In this sense, social media may be a communication facilitator. Here we addressed people's engagement with and perceptions of the content created by the Pied Tamarin Project on the Facebook webpage. We found an increase in the number of "likes" across the years and received numerous messages expressing willingness to help. Further, people engaged more with posts related to published scientific papers. In general, we found a good atmosphere with positive attitudes toward collaboration for the conservation of the pied tamarin, as evidenced by the high number of "likes" and positive content of direct messages on the Pied Tamarin Project social media.
 
 

ELEKTRONIESE POS AS REKENAARBEMIDDELDE KOMMUNIKASIE

Electronic mail as computer mediated communication: new research possibilities in Communication Science. Electronic mail refers to the transfer of one·way electronic messages from one person via an intennediate electronic communication system to one or more identrtied receivers pn many cases via computer linked networks such as Internet.] Electronic mail is one form of computer-mediated communication. It has become one of the most powerful and useful ways of sending and processing information in the era of the Information Super Highway. Electronic mail is not interpersonal communication because of it 's aSinchronic nature but there area number of similarities between these modes of communication. Furthennore is the demassification nature of the new medium not comparable to traditional mass communication systems. Users of electronic mail does not regard themselves as part of a faceless mass of people being bombarded with numerous messages because they exercise some control over messages received. Electronic mail will have a profound influence on interpersonal as well as mass communication In future. Information on a large variety of matters will be available to selected receivers on request and this phenomenon will decrease the dependency of some people of the mass media. Control over the free flow of information is a thorny ethical issue in the light of the current availability of pornographic material via Internet. Computer mediated communication seems to open new posibilities in fhe fields of education and development and Communication Science researchers should take note of these opportunities to reach disadvantaged people. Research in the field of computer mediated communication has just started in South Africa and require the attention of social and natural scientists alike to ensure that the country will not be reduced to the status of a hitch hiker on the Information Super Highway. This article examines the state of the art in electronic mail research from a communication science perspective and theoretical explanantions that could be used to study this "new medium".

Elizebeth Smith Friedman’s recovery of the wiring of two rotors from an enigma D machine

In January 1940, the U.S. Coast Guard intercepted numerous messages that were encrypted on a commercial Enigma D machine using the same key. By solving these messages in depth and examining the resulting cipher alphabets for each position of the rotors, the Cryptanalytic Unit, headed by Elizebeth Smith Friedman, was able to recover the wiring of two of the rotors. This paper explains Friedman’s methods in detail and uses them to determine the wiring of two rotors from an Enigma M3 machine.

User Behavior Prediction of Social Hotspots Using Interaction with Multiple Messages and Neural Networks

Abstract: The variety of communications under social hot topics has a significant impact on user engagement behaviour in network public opinion study. This article suggests a prediction model of user participation behaviour during repeated messaging of trending social issues, taking into account interactions between numerous messages and complicated user behaviours. A multimessage interaction influence-driving method was first presented to better precisely forecast user involvement behaviour by taking into account the impact of multimessage interaction on user participation behaviour. Second, this study proposes a user participant behaviour prediction model of social hotspots based on a multimessage interaction-driving mechanism and the BP neural network. This is done in light of the behavioural complexity of users participating in multimessage hotspots and the simple structure of backpropagation (BP) neural networks (which can map complex nonlinear relationships).

ON-TIME : The Idea for Text and Post

Sending messages automatically without the involvement of human input is known as Message Automation or Text Automation. With the help of automation of text messages, it gets a lot easier to send a right message to the right person at the right time. It all gets effortless when we chose automation over human interference. Text Automation can include generating an appropriate answer by reading the keywords given by the user or sending various suggestions automatically once we shop online, etc.Rather than replying one person at one time, or instead of forwarding numerous messages, we can automate messages in such a way that we save a lot of time doing multiple tasks at a same time. Automating messages makes work easy and it keeps your tone of voice same throughout the conversation. A survey reveals that 9 out of 10 customers talk business via messaging/texting. This makes work less obstructive, makes it faster and user convenient..

Team talk: Learning, jargon, and structure versus the pulse of the network

We began this work intending to illustrate the network origins of jargon, a signal feature of team learning and the division of labor. In the process, we came to recognize the substantive importance of message timing, which we discuss as the pulse of a network. This paper describes our route to that recognition. We analyze data from a renovated classic network experiment providing empirical support for three hypotheses. The first, and most familiar from past work, is that teams moving down their learning curve to greater efficiency are prone to shared jargon. As a team moves down its learning curve, language drifts away from day-to-day speech, into jargon. The second and third hypotheses concern network correlates of the drift. With respect to network structure, teams are less likely to converge on jargon when communication is concentrated in one teammate. With respect to pulse, teams are more likely to converge on jargon when communication efforts are numerous and crowded in time. The two network predictors overlap conceptually. They both involve learning and access to information, but are distinct in their mechanism: Structure provides access. Pulse creates motivation to access. Teammates keeping up with numerous messages concentrated in time have a shared incentive to find shorthand terms (i.e., jargon) that enable faster exchange of accurate information. Network structure predicts team convergence on jargon, but pulse is a stronger predictor. Directions for new research are discussed.

Evaluation of an Electronic Health Record Alert to Improve Screening and Management of Cardiovascular Disease and Stroke Factors in a High-Risk Population.

Cardiovascular disease and stroke risk factor screening and management by primary care providers (PCPs) have a significant impact on their patients' health. The objective of this study was to investigate the effectiveness of an electronic health record (EHR) cardiovascular disease and stroke risk alert in improving the ability of PCPs to manage risk factors among women and men aged 45 years and older. PCPs at a tertiary care hospital were randomized. The intervention group received an EHR alert, which calculated the individual patient risk and provided an order set incorporating the American Heart Association and American Stroke Association guidelines, whereas the control group used the EHR in the usual manner. Multilevel analysis compared the rate of prescriptions between the intervention and control groups. A total of 23 PCPs were randomized: 12 in the intervention group and 11 in the control group, attending to 7190 patients between September 2016 and January 2017. None of the providers in the intervention group used the programmed order set. Intervention group providers were significantly more likely to prescribe smoking cessation medication to women than to the control group (adjusted odds ratio 2.37, 95% confidence interval 1.23-4.57). There were no statistically significant differences between the intervention and control groups in the rate of other medication prescriptions. As measured by prescriptions for medications, other than those for smoking cessation, the EHR alert was not shown to be successful in increasing the management of high-risk patients. Physicians receiving numerous messages in the EHR may experience alert desensitization.

We Are Everywhere: Protest, Power, and Pride in the History of Queer Liberation

We Are Everywhere: Protest, Power, and Pride in the History of Queer Liberation

MARITIME BIG DATA ANALYSIS WITH ARLAS

Abstract. The maritime industry has become a major part of globalization. Political and economic actors are meeting challenges regarding shipping and people transport. The Automatic Identification System (AIS) records and broadcasts the location of numerous vessels and delivers a huge amount of information that can be used to analyze fluxes and behaviors. However, the exploitation of these numerous messages requires tools based on Big Data principles.Acknowledgement of origin, destination, travel duration and distance of each vessel can help transporters to manage their fleet and ports to analyze fluxes and focus their investigations on some containers based on their previous locations. Thanks to the historical AIS messages provided by the Danish Maritime Authority and ARLAS PROC/ML, an open source and scalable processing platform based on Apache SPARK, we are able to apply our pipeline of processes and extract this information from millions of AIS messages. We use a Hidden Markov Model (HMM) to identify when a vessel is still or moving and we create “courses”, embodying the travel of the vessel. Then we derive the travel indicators. The visualization of results is made possible by ARLAS Exploration, an open source and scalable tool to explore geolocated data. This carto-centered application allows users to navigate into the huge amount of enriched data and helps to take benefits of these new origin and destination indicators. This tool can also be used to help in the creation of Machine Learning algorithms in order to deal with many maritime transportation challenges.

An Advanced Decision Making Framework via Joint Utilization of Context-Dependent Data Envelopment Analysis and Sentimental Messages

Compared to widely examined topics in the related literature, such as financial crises/difficulties in accurate prediction, studies on corporate performance forecasting are quite scarce. To fill the research gap, this study introduces an advanced decision making framework that incorporates context-dependent data envelopment analysis (CD-DEA), fuzzy robust principal component analysis (FRPCA), latent Dirichlet allocation (LDA), and stochastic gradient twin support vector machine (SGTSVM) for corporate performance forecasting. Ratio analysis with the merits of easy-to-use and intuitiveness plays an essential role in performance analysis, but it typically has one input variable and one output variable, which is unable to appropriately depict the inherent status of a corporate’s operations. To combat this, we consider CD-DEA as it can handle multiple input and multiple output variables simultaneously and yields an attainable target to analyze decision making units (DMUs) when the data present great variations. To strengthen the discriminant ability of CD-DEA, we also conduct FRPCA, and because numerical messages based on historical principles normally cannot transmit future corporate messages, we execute LDA to decompose the accounting narratives into many topics and preserve those topics that are relevant to corporate operations. Sequentially, the process matches the preserved topics with a sentimental dictionary to exploit the hidden sentiments in each topic. The analyzed data are then fed into SGTSVM to construct the forecasting model. The result herein reveals that the introduced decision making framework is a promising alternative for performance forecasting.

Negotiating identities of 'responsible drinking': Exploring accounts of alcohol consumption of working mothers in their early parenting period.

Mothers' alcohol consumption has often been portrayed as problematic: firstly, because of the effects of alcohol on the foetus, and secondly, because of the association between motherhood and morality. Refracted through the disciplinary lens of public health, mothers' alcohol consumption has been the target of numerous messages and discourses designed to monitor and regulate women's bodies and reproductive health. This study explores how mothers negotiated this dilemmatic terrain, drawing on accounts of drinking practices of women in paid work in the early parenting period living in Northern England in 2017-2018. Almost all of the participants reported alcohol abstention during pregnancy and the postpartum period and referred to low-risk drinking practices. A feature of their accounts was appearing knowledgeable and familiar with public health messages, with participants often deploying 'othering', and linguistic expressions seen in public health advice. Here, we conceptualise these as Assumed Shared Alcohol Narratives (ASANs). ASANs, we argue, allowed participants to present themselves as morally legitimate parents and drinkers, with a strong awareness of risk discourses which protected the self from potential attacks of irresponsible behaviour. As such, these narratives can be viewed as neoliberal narratives, contributing to the shaping of highly responsible and self-regulating subjectivities.

Social Distancing with Older Adults: Comparing Pre- and Post-Pandemic Preferences in Children

The Covid-19 pandemic has made age more salient, and the media has included numerous ageist messages (Bronwen, 2020), included messages aimed at children (e.g., “stay home to protect grandma and grandpa!”). When the pandemic reached Germany in March, we halted data collection on a project assessing ageism in children ages 4 to 8. In July, the situation had improved and testing resumed following hygiene protocols. We report findings from a simulated-behavioral measure where 45 children were asked to plan a party. One task involved asking the children to place pictures of ten party guests, plus themselves, around two party tables. We then assessed how many seats away the younger and older adult guests were placed, on average, from the child (i.e., social distance). Although, we anticipated that the pandemic might lead children to further distance themselves from older adults, our results, thus far, indicate similarity between pre- and post-pandemic preferences. At both occasions older adult guests were seated, on average, one seat further away from the child then younger adult guests. The guest chosen to sit closest to the child was younger on 88% of occasions, whereas the guest chosen to sit farthest away from the child was older on 64% of occasions. Preference for younger adults was confirmed in a second task where children selected teammates for a game. On average, children’s teams consisted of 70% younger guests versus 30% older guests. Findings indicate a social preference for younger, versus older, adults in children irrespective of the pandemic.