RESEARCH QUESTION
hello
Sep 22, 2026 · 18:21 COMPLETED
30-SECOND VIEW
Final Research Answer
Executive summary
The user's input is a simple greeting with no substantive research question provided. Academic evidence discusses pragmatic uses of "hello" or unrelated technical/medical applications of the term but does not address the query directly.
2-MINUTE VIEW
Key Findings
The user's message is a greeting rather than a research question
Support diagnostic: agent supported only
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The user's message is a greeting rather than a research question
All three agent responses identify the input as a greeting and explicitly request a specific topic or question for research. No academic sources contradict this interpretation.
[A1] openai/gpt-6-astra research response View stored AI response
[A2] google/gemini-3.1-pro-preview research response View stored AI response
[A3] qwen/qwen3.8-max-0902 research response View stored AI response
The interjection hello can serve multiple pragmatic functions beyond greeting or summons
Support diagnostic: academically supported
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The interjection hello can serve multiple pragmatic functions beyond greeting or summons
In informal spoken conversation, hello may express surprise, positive or negative evaluation, reproach for misconduct, or mark a proposition as obvious; some functions have semantic overlap.
[C1] Pragmatic functions of the interjection hello Open source
A 'Hello Bundle' intervention may reduce burnout among ICU staff
Support diagnostic: weak support
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A 'Hello Bundle' intervention may reduce burnout among ICU staff
The described cluster RCT protocol tests a multi-component greeting and positive-interaction bundle; effectiveness is not yet reported in the provided evidence.
[C4] HELLO: a protocol for a cluster randomized controlled trial to enhance interpersonal relationships and team cohesion among ICU healthcare professionals Open source
Adaptive or intelligent hello dissemination can reduce energy use in FANET routing
Support diagnostic: academically supported
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Adaptive or intelligent hello dissemination can reduce energy use in FANET routing
Both AI-Hello (reinforcement learning) and EE-Hello (mission-parameter based) schemes suppress unnecessary hello messages, saving 25-31% energy without degrading throughput in UAV simulations.
[C2] Intelligent Hello Dissemination Model for FANET Routing Protocols Open source
[C3] Adaptive Hello Interval in FANET Routing Protocols for Green UAVs Open source
Evidence Overview
11 valid sources · 0 conflicting findings · 1 disagreements · 20 papers reviewed
The metrics above describe saved evidence. Source associations and agreement between models are not independent verification.
Best Academic Evidence
Saved synthesis ranking where available; otherwise Consensus order. Retrieved papers are not automatically proof of a claim.
Pragmatic functions of the interjection hello
Jan Svennevig, Kristine Hasund · 2025 · Journal of Pragmatics
The interjection hello can be used in informal conversations to express surprise, evaluation, reproach, and mark obvious propositions, with some related functions and semantic overlap.
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Jan Svennevig, Kristine Hasund
The interjection hello can be used in informal conversations to express surprise, evaluation, reproach, and mark obvious propositions, with some related functions and semantic overlap.
In previous research, the English interjection hello has been described as a greeting or as a call for attention (a ‘summons’). However, in informal spoken conversation, it has a range of other pragmatic functions that have not been accounted for. This article describes these functions as they are manifested in a corpus of televised talk shows. Using a conversation analytic methodology, we account for the sequential characteristics and the pragmatic meanings of the interjection beyond those of greeting and summons. We show that it may be used to express surprise or positive evaluation, to reproach someone for some misconduct, and to evaluate a state of affairs negatively. It may also mark a proposition as obvious. In many of the instances, the interjection is produced with one of two characteristic emphatic intonation contours. The article also discusses the semantic relationships between the different usages and meanings of the interjection. • The interjection hello may be used as a reproach for misconduct. • As An affective marker, it may express surprise and positive or negative evaluation. • As An epistemic marker, it may mark a proposition as either obvious or unexpected. • Some of the functions are related and have some degree of semantic overlap.
DOI: 10.1016/j.pragma.2025.10.009
Open source ↗HELLO: a protocol for a cluster randomized controlled trial to enhance interpersonal relationships and team cohesion among ICU healthcare professionals
É. Azoulay, N. K. Barnes, S. Myatra, Maria Cruz Martin Delgado, Y. Arabi, Carole Boulanger, Giovann… · 2024 · Intensive Care Medicine Experimental
The 'Hello Bundle' intervention, consisting of posters, emails, and huddles, can potentially reduce burnout among ICU healthcare professionals by fostering positive social interactions and a supportive work environment.
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É. Azoulay, N. K. Barnes, S. Myatra, Maria Cruz Martin Delgado, Y. Arabi, Carole Boulanger, Giovanni Mistraletti, M. Theodorakopoulou, Vernon van Heerden, J. Paiva, Oktay Demirkýran, G. H. La Calle, Abdulrahman Al Fares, G. Burghi, Guy François, Anita Barth, J. D. De Waele, Samir Jaber, M. Darmon, Maurizio Cecconi
The 'Hello Bundle' intervention, consisting of posters, emails, and huddles, can potentially reduce burnout among ICU healthcare professionals by fostering positive social interactions and a supportive work environment.
Background: Mental health symptoms among healthcare professionals (HCP) in intensive care units (ICUs) are a significant concern affecting both HCP well-being and patient care outcomes. Cross-sectional studies among members of the European Society of Intensive Care Medicine (ESICM) report up to 50% burnout rates. Determinants of burnout include communication, team cohesion, psychological support, and well-being promotion. We designed the 'Hello Bundle' intervention to mitigate burnout among ICU-HCPs by fostering positive social interactions and a supportive work environment. This justification synthesizes evidence from social psychology, positive psychology, and healthcare communication research to support the intervention. The 'Hello Bundle' aims to enhance interpersonal relationships, improve team cohesion, and reduce burnout rates. The six components include: Hello campaign posters, email reminders, integrating greetings in morning huddles, hello jars, lead-by-example initiatives, and a daily updated hello board in each ICU. This protocol describes a cluster randomized controlled trial to evaluate the effectiveness of the intervention. Methods: This protocol describes a cluster randomized controlled trial (RCT) conducted among ESICM-affiliated ICUs, consisting of at least 73 clusters with in average of 50 respondents per cluster, totaling approximately 7300 participants. Intervention clusters will implement the 6-component Hello Bundle between October 14 and November 10, 2024, while control clusters will be wait-listed to receive the intervention in January 2025 after the RCT concludes. Clusters will be matched based on ICU size (fewer or more than 20 beds), region, and average 2023 mortality. The primary outcome is the proportion of HCPs with burnout between intervention and control clusters at the end of the intervention. Secondary outcomes include comparing the following between clusters: (1) number of HCPs with high emotional exhaustion; (2) number with high depersonalization; (3) number with loss of accomplishment; (4) perception of ethical climate (5) satisfaction at work (VAS); (6) professional conflicts; (7) intention to leave the ICU (VAS); (8) patient-centered care rating; (9) family-centered care rating. The last secondary outcome is the comparison of burnout rates before and after the intervention in the intervention cluster. Outcomes will be based on HCP reports collected within four weeks before and after the intervention. Discussion: This is the first large trial of healthcare communication, social, and positive psychology intervention among ICU-HCPs. It holds the potential to provide valuable insights into effective strategies for addressing burnout in ICU settings, ultimately benefiting both HCPs and patients. Trial registration: This trial was registered on ClinicalTrials.Gov on June 18, 2024. Registration: NCT06453616. © 2024. The Author(s).
DOI: 10.1186/s40635-024-00677-w
Open source ↗Intelligent Hello Dissemination Model for FANET Routing Protocols
Muhammad Shoaib Ayub, P. Adasme, D. Melgarejo, R. L. Rosa, D. Z. Rodríguez · 2022 · IEEE Access
AI-Hello, based on reinforcement learning algorithms, reduces energy consumption and bandwidth wastage in FANETs using unmanned aerial vehicles, improving network performance.
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Muhammad Shoaib Ayub, P. Adasme, D. Melgarejo, R. L. Rosa, D. Z. Rodríguez
AI-Hello, based on reinforcement learning algorithms, reduces energy consumption and bandwidth wastage in FANETs using unmanned aerial vehicles, improving network performance.
The routing mechanisms in flying ad-hoc networks (FANETs) using unmanned aerial vehicles (UAVs) have been a challenging issue for many reasons, such as its high speed and different directions of use. In FANETs, the routing protocols send hello messages periodically for the maintenance of routes. However, the hello messages that are sent in the network increase the bandwidth wastage on some occasions and the excessive number of hello messages can also cause the problem of energy loss. Scarce works deal with the problem of excessive hello messages in dynamic UAVs scenarios, and treat several other problems, such as bandwidth and energy wastage simultaneously. Generally, the existing solutions configure the hello interval to an excessive long or short time period originating delay in neighbors discovery. Thus, a self-acting approach is necessary for calculating the exact number of hello messages with the aim to reduce the bandwidth wastage of the network and the energy loss; this approach needs to be low complex in terms of computational resource consumption. In order to solve this problem, an intelligent Hello dissemination model, AI-Hello, based on reinforcement learning algorithms, that adapts the hello message interval scheme is proposed to produce a dense reward structure, and facilitating the network learning. Experimental results, considering FANET dynamic scenarios of high speed range with 40 UAVs, show that the proposed method implemented in two widely adopted routing protocols (AODV and OLSR) saved 30.86% and 27.57% of the energy consumption in comparison to the original AODV and OLSR protocols, respectively. Furthermore, our proposal reached better network performance results in relation to the state-of-the-art methods that are implemented in the same protocols, considering parameters, such as routing overhead, packet delivery ratio, throughput and delay.
DOI: 10.1109/access.2022.3170066
Open source ↗View all papers (20)
Analysis of Language Style in the Novel “Hello” by Tere Liye: A Stylistic Review
Irdina Suhailanisa, Hermaliza Hermaliza · 2025 · MIMBAR PENDIDIKAN
The novel "Hello" by Tere Liye uses various language styles, including comparison, opposition, linking, and repetition, to express ideas and thoughts effectively.
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Irdina Suhailanisa, Hermaliza Hermaliza
The novel "Hello" by Tere Liye uses various language styles, including comparison, opposition, linking, and repetition, to express ideas and thoughts effectively.
This research discusses language style or stylistics in the novel Hello by Tere Liye. Language style is the way the author expresses ideas or thoughts using words to produce literary works such as novels, poems, gurindam, and others. The aim is to determine how far and in what ways and how the author uses linguistic signs to obtain special effects. The problem examined in this study is how the language style or majas used by the author in the novel Hello by Tere Liye. The purpose of the research is to describe the stylistic analysis contained in the novel Hello by Tere Liye. The research approach uses a qualitative approach and the research method uses a qualitative descriptive method. The data and data source used in the research is the novel Hello by Tere Liye. The research data collection technique is a note technique in the form of words or sentences from the contents of the novel Hello. Data analysis techniques include data identification, data classification, data analysis and result conclusion. The research results of the novel Hello consist of several types of language styles, namely comparison language style, opposition language style, linking language style and repetition language style. The following is the interpretation of the research results of language style analysis in the novel Hello by Tere Liye, namely the comparison language style consists of several language styles, namely parable 4 data, metaphor 7 data, personification 8 data, opposition language style in the novel Hello is hyperbole 1 data, linking language style consists of metonimia 4 data, asidenton 12 data and repetition language style there is repetition with 12 data with a total of 48 data.
DOI: 10.17509/mimbardik.v10i1.81024
Open source ↗PEREMPUAN TANGGUH: FEMINISME DALAM NOVEL HELLO KARYA TERE LIYE
Nadillah Mirza Auliah, Anas Ahmadi · 2025 · SeBaSa
The novel "Hello" by Tere Liye presents strong, independent women who fight gender stereotypes and build self-awareness, promoting feminist values relevant to modern women's struggles.
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Nadillah Mirza Auliah, Anas Ahmadi
The novel "Hello" by Tere Liye presents strong, independent women who fight gender stereotypes and build self-awareness, promoting feminist values relevant to modern women's struggles.
The novel “Hello” by Tere Liye is one of the literary works that presents a representation of strong, brave, and independent women amidst the dominance of patriarchal culture. Women in this novel are depicted as being able to fight gender stereotypes and build self-awareness as free individuals. This study aims to describe the values of feminism reflected in the character of strong women through the perspective of Simone de Beauvoir's existentialist feminist theory. This study uses a qualitative descriptive method with content analysis techniques that focus on the dialogue, actions, and narratives of the main characters in the novel “Hello”. Data were obtained through intensive reading and recording of relevant data based on the theory of existentialist feminism. The results of the study show that the character Ana as the main character represents a strong woman who refuses to be the Other as stated by Simone de Beauvoir. This is shown through Ana's brave attitude in facing social pressure, her courage to make decisions without relying on others, and her efforts to build her freedom and existence as a woman. The conclusion of this study confirms that the novel “Hello” not only presents empowered female characters, but also voices feminist values that are relevant to women's struggles in modern society.
DOI: 10.29408/sbs.v8i1.28572
Open source ↗Adaptive Hello Interval in FANET Routing Protocols for Green UAVs
Imtiaz Mahmud, You-Ze Cho · 2019 · IEEE Access
The proposed energy efficient hello (EE-Hello) adaptive routing protocol for UAVs can save about 25% of energy by suppressing unnecessary hello messages without affecting network throughput.
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Imtiaz Mahmud, You-Ze Cho
The proposed energy efficient hello (EE-Hello) adaptive routing protocol for UAVs can save about 25% of energy by suppressing unnecessary hello messages without affecting network throughput.
With the recent advances in unmanned aerial vehicles (UAVs), the development of energy-efficient networking technology for mission-oriented multiple cooperative UAVs has become crucial. Routing in flying ad-hoc networks (FANETs) with UAVs is a challenging issue because of the high speed and sudden changes in direction of UAVs. Traditional routing protocols in FANETs periodically send hello messages for the establishment and maintenance of the routes. However, sending hello messages periodically after a fixed interval increases bandwidth wastage when the hello interval is excessively short or causes long delays in neighbour discovery when the hello interval is overly long. Moreover, several disconnected UAV groups have been observed in which the group members are connected among themselves but detached from the main network. By exchanging excessive hello messages inside the group, the UAVs maintain an unnecessary neighbourhood, causing wastage of energy. However, FANETs have certain advantages, such as knowledge about mission-related information. To solve the problem of unnecessary energy drain, we propose a novel adaptive hello interval scheme—energy efficient hello (EE-Hello)—based on available mission-related information, such as the volume of the allowed airspace, number of UAVs, UAV transmission range, and UAV speed. We present a method to decide the distance that a UAV needs to travel before sending a hello message. We also specify a technique to determine the number of UAVs necessary to achieve specific network requirements, such as packet delivery ratio or throughput, with the expenditure of minimum energy. We show that the proposed EE-Hello can save about 25% of the energy currently used, by suppressing unnecessary hello messages without degrading the overall network throughput.
DOI: 10.1109/access.2019.2917075
Open source ↗DEIKSIS PERSONA, RUANG, DAN WAKTU DALAM NOVEL HELLO KARYA TERE LIYE
Husnawati, Nyoman Sudika, Irma Setiawan · 2025 · SeBaSa
In the novel Hello by Tere Liye, three main types of deixis are present: person, spatial, and temporal, with person deixis being the most dominant type.
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Husnawati, Nyoman Sudika, Irma Setiawan
In the novel Hello by Tere Liye, three main types of deixis are present: person, spatial, and temporal, with person deixis being the most dominant type.
This study aims to identify and analyze the forms, functions, and meanings of person, spatial, and temporal deixis in the novel Hello by Tere Liye using a pragmatic approach. The study focuses on three types of deixis: person deixis, spatial deixis, and temporal deixis. Data collection was carried out using the listening and note-taking method, then analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that the novel contains three main types of deixis: person deixis, spatial deixis, and temporal deixis, with person deixis being the most dominant type. Each type of deixis has functions and meanings that depend on its context of use. This study offers novelty as no previous research has specifically examined the use of deixis in the novel Hello by Tere Liye.
DOI: 10.29408/sbs.v8i1.29840
Open source ↗Saying hello to patients: there is no “one size fits all” approach
Andrew G. Affleck · 2024 · BMJ
Saying "hello" to patients can be a simple and brief gesture, but it should be individualized for each patient and healthcare professional.
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Andrew G. Affleck
Saying "hello" to patients can be a simple and brief gesture, but it should be individualized for each patient and healthcare professional.
Launer makes a good point about the benefit of acknowledging patients with a simple “hello.” 1 There is no doubt that an unexpected greeting can make the recipient smile and feel recognised and that human interaction also gives the person saying hello a boost. This is becoming increasingly relevant in the modernworld,wherepeoplecanwalkaroundimmersedintheirphonesinthepseudo-worldofsocialmedia. Insularbehaviourandwarinessofstrangersarealsoincreasing;inpublicplaceslikebuses,trains,and tubes,itisnotuncommonforpeopletoavoideyecontactorconversation. There might be an association between our overall happiness and our attitude towards strangers. But some people are introverted in nature, and others might be neurodivergent—both are represented in healthcare professionals—and might find it harder to be so interactive. I do not believe in a “one size fits all” approach or in pretending to be friendly. There would also be the danger of affected pseudo-niceties as in the “Have agoodday”thatAmericanfastfoodserversoftensaytoeverycustomer.Inbusywaitingareas,saying“hello” to every patient in a rapid way might resemble a scene from Monty Python and not feel genuine. A better approach is to consciously smile and make eye contact with patients, and when it feels right, say “hello” or nod your head or make a friendly comment to break the ice. This could result in some feel good changes in the giver. Patients, their families, and other staff members are just like us—most have families, troubles, fears, likes, and dislikes. Patients and their relatives attending hospital might have worries and feel vulnerable. They might be grateful if we are the first one to reach out, albeit with a simple and brief gesture. Competing
DOI: 10.1136/bmj.q944
Open source ↗Hello, Goodbye*
P. Kohl · 2023 · The Journal of Physiology
None
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P. Kohl
None
DOI: 10.1113/jp285711
Open source ↗Say hello and wave goodbye
K. Ward · 2025 · Urban Geography
None
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K. Ward
None
DOI: 10.1080/02723638.2025.2468451
Open source ↗How Do You Say ‘Hello’? Personality Impressions from Brief Novel Voices
Phil McAleer, Alexander Todorov, P. Belin · 2014 · PLoS ONE
Listeners form personality impressions of unfamiliar speakers based on their vocal acoustics, with a two-dimensional'social voice space' guiding ratings.
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Phil McAleer, Alexander Todorov, P. Belin
Listeners form personality impressions of unfamiliar speakers based on their vocal acoustics, with a two-dimensional'social voice space' guiding ratings.
On hearing a novel voice, listeners readily form personality impressions of that speaker. Accurate or not, these impressions are known to affect subsequent interactions; yet the underlying psychological and acoustical bases remain poorly understood. Furthermore, hitherto studies have focussed on extended speech as opposed to analysing the instantaneous impressions we obtain from first experience. In this paper, through a mass online rating experiment, 320 participants rated 64 sub-second vocal utterances of the word 'hello' on one of 10 personality traits. We show that: (1) personality judgements of brief utterances from unfamiliar speakers are consistent across listeners; (2) a two-dimensional 'social voice space' with axes mapping Valence (Trust, Likeability) and Dominance, each driven by differing combinations of vocal acoustics, adequately summarises ratings in both male and female voices; and (3) a positive combination of Valence and Dominance results in increased perceived male vocal Attractiveness, whereas perceived female vocal Attractiveness is largely controlled by increasing Valence. Results are discussed in relation to the rapid evaluation of personality and, in turn, the intent of others, as being driven by survival mechanisms via approach or avoidance behaviours. These findings provide empirical bases for predicting personality impressions from acoustical analyses of short utterances and for generating desired personality impressions in artificial voices.
DOI: 10.1371/journal.pone.0090779
Open source ↗Hello Neighbor
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None
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What do you say after you say hello
E. Berne · 1972 ·
Life follows a predetermined script, composed during early childhood, and individuals can improvise or change their script to achieve a happy ending.
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E. Berne
Life follows a predetermined script, composed during early childhood, and individuals can improvise or change their script to achieve a happy ending.
What Do You Say After You Say Hello? explains what makes the winners win, the losers lose, and the in-betweens so boring...In it, Dr Eric Berne reveals how everyone's life follows a predetermined script - a script they compose for themselves during early childhood. The script may be a sad one, it may be a successful one; it decides how a person will relate to his colleagues, what sort of person he will marry, how many children he will have, and even what sort of bed he will die in...What Do You Say After You Say Hello? demonstrates how each life script gets written, how it works and, more important, how anyone can improvise or change his script to make a happy ending...
Adaptive HELLO protocol for vehicular networks
Nathalie Mitton, V. Loscrí, Christophe Bureau · 2024 · ITU Journal on Future and Evolving Technologies
The Vehicular Adaptive Neighbour discovery Protocol (VANP) optimizes HELLO message frequency in vehicular networks, reducing bandwidth and energy while maintaining neighbor discovery quality.
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Nathalie Mitton, V. Loscrí, Christophe Bureau
The Vehicular Adaptive Neighbour discovery Protocol (VANP) optimizes HELLO message frequency in vehicular networks, reducing bandwidth and energy while maintaining neighbor discovery quality.
In vehicular networks, the update of car Firmware Over The Air (FOTA) is becoming a challenging issue and it mainly relies on topology discovery of neighbouring nodes. Topology discovery in mobile wireless networks is usually done by using HELLO messages. Due to mobility, topology changes occur frequently and must be quickly discovered to avoid routing failures. Since the optimal HELLO frequency depends on parameters that are subject to changes (e.g., speed of nodes, density of nodes), it must be dynamically adjusted to obtain the best trade-off between the network load and the freshness of routing tables. Existing solutions assume random mobility, constant node density and average speed, which do not hold in vehicular networks because vehicles follow specific trajectory patterns (the roads) and density and speed evolve as a function of time (rush hour vs non-rush hour) and area (urban, rural, highway). In this paper, we first draw the specific features of a vehicular network at different times and spaces by analysing real datasets and then propose a dynamic neighbour discovery protocol, Vehicular Adaptive Neighbour discovery Protocol (VANP). VANP is a fully-distributed protocol that sends beacons at an optimal frequency without knowing it a priori. The objective is to reduce the frequency at which HELLO messages are sent to save bandwidth and energy while still preserving the quality of the neighbour discovery. Through extensive simulations run on real datasets, we show that the optimal HELLO frequency can be reached by maintaining a constant optimal turnover, independent from the speed of the nodes and by aiming at this turnover, nodes automatically use the optimal HELLO frequency. Results show that VANP allows the discovery of relevant neighbours by missing at most two neighbours over all scenarios and reducing the number of HELLO messages up to twice, hence saving bandwidth and energy.
DOI: 10.52953/vuyv1591
Open source ↗Saying Goodbye While Saying Hello
Colin Trumbull, Caitlyn E. M. Trautwein · 2024 · Editorial Office News
None
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Colin Trumbull, Caitlyn E. M. Trautwein
None
DOI: 10.18243/eon/2023.17.1.3
Open source ↗STUDENTS’ PERSPECTIVES OF UTILIZING HELLO ENGLISH APPLICATION FOR ENGLISH VOCABULARY LEARNING: A QUALITATIVE CASE STUDY
Bonza Sheilla Luthfia Rahman, Salim Nabhan · 2023 · ENGLISH JOURNAL
Students perceive benefits of using the Hello English application for vocabulary learning, such as improved understanding, pronunciation, and vocabulary expansion, but also encounter challenges like technical difficulties and advanced games.
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Bonza Sheilla Luthfia Rahman, Salim Nabhan
Students perceive benefits of using the Hello English application for vocabulary learning, such as improved understanding, pronunciation, and vocabulary expansion, but also encounter challenges like technical difficulties and advanced games.
Nowadays the use of technology media is inevitable in EFL classrooms. However, the study pertaining to the use of the Hello application that focuses on learning vocabulary is still relatively limited. Therefore, this study aims to explore students' perspectives on using the Hello English application for English vocabulary learning. This research used a qualitative case study. The data were collected through interviews, observation, and document reviews from the 9th-grade students at a state junior high school in Sidoarjo, East Java, Indonesia. The data were then analyzed using thematic analysis. The result revealed two main themes: the benefits and concerns associated with using the Hello English application for vocabulary learning. The students perceived benefits of the application including improving their understanding, pronunciation, and expansion of English vocabulary, along with enjoyable learning experiences. However, students encountered challenges, such as technical difficulties and struggles with advanced games. In addition, the students overcame these issues with the assistance of others. The study might have implications on the understanding of the enactment in using the technological application for EFL vocabulary learning.
DOI: 10.32832/english.v17i2.14689
Open source ↗The Effect of Using Hello English Application System on the Students’ Speaking Skill
P. Handayani, Zulfitri, Universitas Muslim, Nusantara Al Washliyah · 2023 · Journal of Language Education (JoLE)
The Hello English application significantly improves students' speaking skills in tenth grade at SMK NEGERI 1 BERINGIN.
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P. Handayani, Zulfitri, Universitas Muslim, Nusantara Al Washliyah
The Hello English application significantly improves students' speaking skills in tenth grade at SMK NEGERI 1 BERINGIN.
This research aims to determine whether there is a significant influence of the use of digital systems on the speaking skills of students in ten grade Senior High School. This research is a quantitative with anexperimental design. It was conducted in ten grade SMK NEGERI 1 BERINGIN under the academic year 2020/2021. The total population was 168 students and researchers took 20 students for the experimental class and 20 students for the control class which meant 40 students as a total sample. In collecting data, researchers used speaking test. Tests are pre-tests given before treatment and post tests given after treatment. Then, the data obtained were analyzed using t-test at SPSS 20 with a significance level of 5% (0.05). Furthermore, the t-test resultsshowed that t-test (3.327) was higher than t-table at a significance level of 5% (0.05) with a degree of freedom 38 being 2.024. Therefore, the results of t-test>t-table result that H0 (null hypothesis) is rejected and Ha (alternative hypothesis) is accepted.Thus, the Hello English application has a significant influence on students' speaking skills in ten grade SMK NEGERI 1 BERINGIN.
DOI: 10.69820/jole.v1i4.133
Open source ↗Improving Students' Speaking Skill Using Hello English Application as a Medium of Learning from Home
N. Aini, Firdausi Amalia, A. S. B. Ningrum · 2022 · IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature
Hello English application effectively improves students' speaking skills, as demonstrated by the 75% success rate in a study of fifth-grade students at SDN Sidorejo 1 Mojokerto.
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N. Aini, Firdausi Amalia, A. S. B. Ningrum
Hello English application effectively improves students' speaking skills, as demonstrated by the 75% success rate in a study of fifth-grade students at SDN Sidorejo 1 Mojokerto.
This study aims to improve stduents’ speaking skill using hello English application. The subjects of this study were the fifth-grade students of SDN Sidorejo 1 Mojokerto. The researcher used classroom action research to conduct this study. The research instruments were an observation sheet, questionnaire sheet, test, and documentation. This study was done in two cycles. The researcher procedures of this research consisted of four steps. They are planning, implementing, observing, and reflecting. The criteria of success were 75% of students got a score of 9.From the findings and discussion, the result is Hello English application can improve students’ speaking skills. It can be seen in the test of cycle 2. In cycle 2, the result of students’ speaking scores showed that 15 students passed and 2 of the students were failed. The mean scores of the test in cycle 2 were 9,05 and the percentage of improvement 88,23%. It is showed that in cycle 2, the students' scores passed the criterion of success 75%. Thus, based on the result of cycle 2 Hello English application can improve students’ speaking skills.
DOI: 10.24256/ideas.v10i1.2533
Open source ↗Optimization of Hello Message Broadcasting Prediction Model for Stability Analysis
Nookala Venu, R. Swathi, Sanjaya Kumar Sarangi, V. Subashini, D. Arulkumar, Shimpy Ralhan, Baru Deb… · 2022 · Wireless Communications and Mobile Computing
The proposed ECAR scheme effectively reduces end-to-end delay and increases network lifetime in mobile ad hoc networks by optimizing the hello time gap tracking algorithm.
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Nookala Venu, R. Swathi, Sanjaya Kumar Sarangi, V. Subashini, D. Arulkumar, Shimpy Ralhan, Baru Debtera
The proposed ECAR scheme effectively reduces end-to-end delay and increases network lifetime in mobile ad hoc networks by optimizing the hello time gap tracking algorithm.
In mobile ad hoc networks, nodes are connected and disconnected regularly; since every mobile node travels autonomously, those nodes are dispersed not uniformly. Connection damage has straight consequences on the network characteristics. For that motivation, various techniques are quick and efficient damage of connection identification using alert packet is difficult for that time to identify next connection in a mobile network. It increases end to end delay and reduces the network lifetime. The present effective connection alteration rate- (ECAR-) based communication scheme depends on the details of neighbouring nodes to survey the connection between the connection alteration rate and the hello time gap in terms of entire transmission rate. Nevertheless, the hello time gap tracking algorithm is constructed to increase transmission rate displaying a stable choice of connection alteration rate, still although node velocity alters. It reduces end to end delay and increases the network lifetime. The hello time gap tracking algorithm is constructed in the network, and it obtains effective connection among unstable mobile nodes. Experimental output indicates that the connection alteration rate in general enhances the hello time gap. It provides the effective connection changing rate for analyzing different metrics which are network lifetime. throughput, and detection efficiency that are improved in the proposed ECAR scheme.
DOI: 10.1155/2022/2785810
Open source ↗Saying Goodbye and Saying Hello
Colin Trumbull · 2023 · Editorial Office News
None
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Colin Trumbull
None
DOI: 10.18243/eon/2023.16.1.2
Open source ↗Disagreements & Limitations
Disagreements
- Academic sources apply "hello" to divergent domains (pragmatics, ICU intervention, UAV routing, literary style) with no overlap on a unified meaning or recommendation.
Limitations
- No academic evidence directly answers a non-existent research question; all papers were retrieved via lexical match on the word "hello".
- Abstract for C4 is truncated; full RCT outcomes are unavailable.
- 12 additional papers were omitted by context limits after relevance ranking.
- Literary analyses (C12, C9, C10) are low-citation and from journals without reported SJR quartile.
- Agent responses (A1-A3) are unverified and not academic literature.
- A finding was limited because no supplied academic source was attached.
Sources
Journal of Pragmatics · 2025 · DOI: 10.1016/j.pragma.2025.10.009
Open sourcehttps://consensus.app/papers/pragmatic-functions-of-the-interjection-hello-svennevig-hasund/1bb6e520a7ac5e068a76df0078f3c8ae/?utm_source=publicapiIntensive Care Medicine Experimental · 2024 · DOI: 10.1186/s40635-024-00677-w
Open sourcehttps://consensus.app/papers/hello-a-protocol-for-a-cluster-randomized-controlled-trial-azoulay-barnes/ec290274ea825d5d8a6e0e34529a0603/?utm_source=publicapiIEEE Access · 2022 · DOI: 10.1109/access.2022.3170066
Open sourcehttps://consensus.app/papers/intelligent-hello-dissemination-model-for-fanet-routing-ayub-adasme/20012982e16a55ec91124b8950553a4e/?utm_source=publicapiMIMBAR PENDIDIKAN · 2025 · DOI: 10.17509/mimbardik.v10i1.81024
Open sourcehttps://consensus.app/papers/analysis-of-language-style-in-the-novel-hello-by-tere-liye-a-suhailanisa-hermaliza/33806963f8565c78b8121e448f5c1233/?utm_source=publicapiSeBaSa · 2025 · DOI: 10.29408/sbs.v8i1.28572
Open sourcehttps://consensus.app/papers/perempuan-tangguh-feminisme-dalam-novel-hello-karya-tere-auliah-ahmadi/ba8967683c425bda8455400307dbcff0/?utm_source=publicapiIEEE Access · 2019 · DOI: 10.1109/access.2019.2917075
Open sourcehttps://consensus.app/papers/adaptive-hello-interval-in-fanet-routing-protocols-for-mahmud-cho/6a93681d7fec5f64846aeb9f6bc196d0/?utm_source=publicapiSeBaSa · 2025 · DOI: 10.29408/sbs.v8i1.29840
Open sourcehttps://consensus.app/papers/deiksis-persona-ruang-dan-waktu-dalam-novel-hello-karya-husnawati-sudika/608372803f375033b3368e96b53c0394/?utm_source=publicapiAI model output (unverified)
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