Usage Factors Research Articles

Research on Identifying Important Factors and Prediction of Online Service Satisfaction for Mobile Phone Users

Our lives cannot do without the internet. How to improve the network quality has always been an essential problem. The paper explores the important factors of online service satisfaction and the best predicting model. Based on the data offered by Beijing Mobile Company, we identify main factors affecting online service satisfaction by calculating their mutual information values. The factors include signal problem factors, scene factors and software usage factors. Additionally, based on decision tree model and models with decision tree as base learner, we predict the online service satisfaction. The result shows that random tree model with One Vs Rest mode has the greatest accuracy among the models which offers telecommunications companies insight.

Long-Range Self-Powered IoT Devices for Agriculture Aquaponics

The aim of this project is to establish a controlled environment in the aquaculture industry by minimizing human errors and reducing the need for manpower. Additionally, the project seeks to enable remote monitoring of aquatic environments from any location in the world. By utilising mobile phone applications, the physical presence of humans can be significantly reduced. The device is capable of collecting and transmitting data from a variety of sensors, including those that measure temperature, humidity, and pH levels. This real-time monitoring and analysis of the aquaponics systems allows farmers and growers to make informed decisions about water usage, fish health, and other productivity-related factors. Ultimately, this system can improve productivity and efficiency in the aquaculture industry. Aquaculture is a growing industry worldwide, and the need for sustainable and efficient practices is increasing. The use of technology and automation has become more common in recent years as a means of improving productivity and reducing human error. The proposed system for aquaculture monitoring aims to address these issues by utilizing sensors and microcontrollers to create a controlled environment for aquatic organisms. The system employs various sensors to measure critical parameters such as water temperature, pH, and turbidity, and sends this data to a central monitoring system. Farmers and growers can then access this data remotely and make informed decisions about the health and productivity of their aquatic systems. This can lead to better control over water quality and temperature, improved feeding practices, and ultimately higher yields.

Exploring Motivations for TikTok Usage and Impact Factors of TikTokers’ Continuance Intention

Exploring Motivations for TikTok Usage and Impact Factors of TikTokers’ Continuance Intention

Capacity for One Health research in the Horn of Africa

IntroductionIn low-and-middle-income countries, many people live near livestock. Rural livelihoods need improvement, however livestock-sector growth is a ‘wicked’ problem, needing careful management and One Health approaches which balance positive aspects of livestock ownership against deleterious impacts. Materials and methodsA Key Informant survey was delivered to higher education and research institute Units in Horn of Africa, to quantify baseline estimates for One Health research, understand characteristics, and risk factors for usage. Principal resultsFour-fifths of Units acknowledged some One Health research; however, this was biased towards human-focused dimensions including at the human/animal/environment-interface and human/animal-interface; One Health approaches were also more often reported when all or the animal/environment dimensions were examined. We detected subject-bias impacting environment-focus in research; only research-focused Units had staff with higher environmental science degrees. Our work suggested good national research buy-in, and Units engaging with national policy-makers most often; local policy-makers were least engaged. Four-fifths of Units had laboratories, with two-thirds processing either human or animal samples and half processing both. Funding for equipment purchase, supplies and maintenance, staff training on technical/safety issues was nearly half that previously identified. Major conclusionsThe necessity for One Health research approaches is acknowledged, however our results suggest persistent and systemic neglect of the environment in approaches and research staff education, and a lack of integration across government hierarchies during policy-development, potentially driven by international organisation domination. Further, Units lack funding for laboratory equipment purchase/supplies/maintenance, and staff training on technical/safety issues.

A Study On Factor Influence Of Mobile Commerce Usage And Satisfaction Of Customers In Madurai District

The potential change for consumer habits on shopping, that establish the significant of commerce channel. The consumers to rely digital devices more than ever before, and growth of mobile commerce. The mobile commerce usage of become the online shopping trends in customers. The advancements of in the wireless communication, mobile commerce has become a new paradigm for personal communication without any constraints in locations. Starting from the teenagers to the retirees, everyone is depending on mobile devices. They use for computers and the internet to purchase products, send and receive e- mail and play games online. This study usage for mobile commerce and factors influence for customers, satisfaction at mobility at offers new – found freedom for the great to pay. Finally, this study at usage for mobile commerce and satisfaction with influences of factors in mobile commerce usage is creating new opportunities for the mobile services in the customers.

Socioeconomic Status and Cochlear Implant Usage: A Datalogging Study.

To evaluate the associations between proxy measures of socioeconomic status (SES) and usage of cochlear implants. Retrospective case series. Usage outcomes were measured among patients with a cochlear implant and data logging at a tertiary care children's hospital between 2002 and 2017. Time per day with cochlear implant turned on, coil off, and listening to speech in noise and speech in quiet were extracted from audiology records, averaging right and left ear usage for those with bilateral implants. Associations between cochlear implant usage and demographic factors such as insurance type and median household income for zip code were assessed. There were 142 total patients; 74 had bilateral usage data. Mean on air time was 10.76 hours (SD: 4.4). Those with private insurance had 1.2 hour more on air time/day (P = .047) and 0.9 hour more quiet time/day (P = .011) compared to those with public insurance. Younger age at last visit was associated with increased speech in quiet (B = -.08; 95% CI: -0.12-[-0.05], P < .001) and coil off (B = -0.06; 95% CI: -0.11-[-0.02], P = .006). Younger age at implant was associated with longer duration since last data logging visit (B = -10.46; 95% CI: -18.41-[-2.51], P = .010), more daily use (on air; B = -0.23; 95% CI: -0.43-[-0.03], P = .026), and increased time spent listening to speech in noise (B = -0.07; 95% CI: -0.14-[-0.01], P = .024). No other significant associations between datalogging output and each proxy SES factor were found. Lack of private insurance and older age at implantation decreased access to binaural hearing for children and young adults with cochlear implants.

A Study on Environmental Sustainability- Growth, Trends and Concerns

Environmental Sustainability is a concept gaining increasing importance which seeks to ensure preservation of natural resources for the sake of future generations. Its broad idea is meeting requirements of the present generations without sacrificing or compromising on the ability of our future generations to sustain them. Environmental sustainability is a global issue requiring contribution from and collaboration between various parties, which can include businesses, individuals, and also governments if seen from a larger perspective. It involves a multitude of various activities which include water treatment, waste reduction, pollution control, resource conservation by using renewable methods etc. This goal of sustainability can be achieved my moving away from the present model of unlimited and unmonitored growth, consumption and wastage, to a model of monitored usage, savings, wastage and other factors without compromising on growth for a better future.

And they try, and they praise, but they don’t marry: Once again about the connection between downloads, views and citations

The question of the possible influence of the number of views / downloads of scientific articles from journal websites, as well as the number of their mentions in social networks on the number of subsequent citations of these publications is considered. In particular, an analysis of some of such correlations is carried out on the example of 39 Russian translated journals of biological orientation distributed by the Springer Nature publishing house. Data from 2019–2021 was used regarding the number of article downloads, impact factors of editions, their SJR, CiteScore, SNIP, and usage factors. An analysis of the results obtained, as well as data available on the Internet, allowed the authors to conclude that the relationship between the number of downloads or altmetrics and the number of citations is not very strong, although it is quite reliable. It is emphasized that at present a large number of downloads / views of articles are carried out by users who are not engaged in science and, accordingly, do not write articles for academic journals. They are simply interested in scientific research results, and the Internet is now available to almost anyone. This also applies to the discussion of scientific publications in social networks. Apparently, the frequent mention of work in such networks really stimulates its downloads – however, this becomes obvious only if the article is an open access one, because the majority of “law-abiding” users of social networks do not have legal access to publications in subscription editions. The mentioned circumstances, according to the authors, will lead to a gradual weakening of the correlations considered in the article.

Drug information sources in professional work—a questionnaire study on physicians’ usage and preferences (the drug information study)

PurposeThis study aimed to explore physicians’ use of drug information in professional work, with special focus on those working in primary care, and also in relation to personal characteristics of physicians.MethodsA web-based questionnaire was distributed by e-mail to physicians in five regions in Sweden. The questions concerned drug-related queries at issue when searching for information, sources used, and factors of importance for the choice of source, as well as responder characteristics.ResultsA total of 3254 (85%) out of 3814 responding physicians stated that they searched for drug information every week. For physicians working in primary health care, the corresponding number was 585 (96%). The most common drug-related issues searched for by 76% of physicians every week concerned pharmacotherapeutic aspects (e.g., dosing), followed by adverse drug reactions (63%). For 3349 (88%) physicians, credibility was the most important factor for the choice of sources of drug information, followed by easy access online (n = 3127, 82%). Further analyses among physicians in primary care showed that some personal characteristics, like seniority, sex, and country of education, as well as research experience, were associated with usage and preferences of drug information sources.ConclusionsThis study confirms that physicians often use drug information sources in professional work, in particular those who work in primary health care. Credibility and easy access are key factors for usage. Among physicians in primary care, personal factors influenced the choice of drug information sources.

Foundational Curriculum and Core Guidelines for Training in Latinx/a/o-Hispanic Cultural Neuropsychology Across the Lifespan.

The training competency of individual and cultural diversity is an advanced, fundamental competency to health service psychology since 2015. However, there is minimal instruction on how to integrate it into training curricula in neuropsychology, especially at the postdoctoral fellowship level. Our objective was to operationalize the individual and cultural diversity standard to provide a tangible application for educational programs on how to develop a competency-based training model for Latinx/a/o-Hispanic (L/H) cultural neuropsychology across the lifespan. The knowledge-based and applied-based competencies necessary to train to be a cultural neuropsychologist delivering services to L/H patients and families are defined. For learners to complete these competencies, training programs need to implement clinical, didactic, research, and professional development core guidelines grounded in cultural neuropsychology. We provide a framework on how to transform each core guideline, including a Didactics Core with foundational readings across a range of L/H topics, and a Report Template to guide the documentation of sociocultural information, language usage, normative data, and other relevant factors in a neuropsychological report. These cultural neuropsychology competencies and core guidelines need to become a basic core requirement for all neuropsychologists in training. With focused education in culturally based competencies, training programs can cultivate a sense of responsibility, inclusion, justice, and equity to train a generation of neuropsychologists, who intentionally and consistently practice socially responsible neuropsychology.

《长津湖》电影中的修辞手法分析GAYA BAHASA DALAM FILM “THE BATTLE AT CHANGJIN LAKE” YANG DISUTRADARAI CHENG CHENG KAI GE, TSUI HARK DAN DANTE LAM

This study aims to find out the types of language styles and the factors in language style usage used in the film The battle at Changjin Lake directed by Cheng kai ge, Tsui Hark and Dante lam. Language style is a way of expressing thoughts through language in a unique way by choosing appropriate words and combining them in certain sentence structures, in order to create new and fresh ways of conveying. The design of this study is descriptive qualitative with documentation data collection techniques. The results of the data analysis show that there are 6 types of language styles, namely 3 styles of Jièdài (Metonymic), 7 styles of Fǎnwèn (Erotesis), 2 styles of Duì'ǒu (Antithesis), 1 style of Páibǐ (Parallelism), 4 styles of Fǎnfù ( Repetition), 3 styles of Shè wèn (Rhetorical) . The style of language most often used is Fǎnwèn (Erotesis). The results of the data analysis also show that the factors causing the usage of these language styles in the film are a person's identity, work, external environment, mood, time and location. The factor that causes the most language style usage is the external environment, so that the audience can feel that environment. Keywords: Film, Language Style, The Battle of Chang Lake

Supplemental Material for Using browser data to understand desires to spend time online.

There is growing recognition that many people feel the need to regulate their use of the internet and other digital technologies to support their well-being. In this study, we used Mozilla Firefox browser telemetry to investigate the role played by various usage factors in desires to regulate time spent online. In particular, we investigated how six metrics pertaining to time spent on the internet, and the diversity and intensity of use, predict participants’ (n = 8,094) desires to spend more or less time online. Across all six metrics, we did not find evidence for a relationship between browser usage metrics and participants wanting to spend more or less time online. This finding was robust across various analytical pathways. The study highlights a number of considerations and concerns that need to be addressed in future industry–academia collaborations that draw on trace data or usage telemetry.

Using Browser Data to Understand Desires to Spend Time Online.

There is growing recognition that many people feel the need to regulate their use of the internet and other digital technologies to support their wellbeing. In this study, we used Mozilla Firefox browser telemetry to investigate the role played by various usage factors in desires to regulate time spent online. In particular, we investigated how six metrics pertaining to time spent on the internet, and the diversity and intensity of use, predict participants' (n = 8,094) desires to spend more or less time online. Across all six metrics, we did not find evidence for a relationship between browser usage metrics and participants wanting to spend more or less time online. This finding was robust across various analytical pathways. The study highlights a number of considerations and concerns that need to be addressed in future industry-academia collaborations that draw on trace data or usage telemetry.

How do taxi usage patterns vary and why? A dynamic spatiotemporal analysis in Beijing

Existing studies lack attention to taxi usage dynamics, considering its trip proportion over other travel modes and its influencing factors at fine spatiotemporal resolutions. To fill these gaps, we propose a method for examining taxi usage in a grid of 1 km × 1 km cells per hour during a one-day cycle in Beijing. This method measures the differences between taxi trips from taxi trajectory data and mobile signaling data in the same week in January 2017. To explain the spatiotemporal variation in taxi usage, multiple linear models were used to investigate taxi usage dynamics with alternative transport modes, socioeconomic factors, and built environments. In summary, this study proposes to develop an indicator to measure taxi usage using multiple data sources. We confirm that taxi usage dynamics exist in both temporal and spatial dimensions. In addition, the effects of taxi usage factors vary over each hour in a one-day cycle. These findings are useful for urban planning and transport management, in which the dynamic interactions between taxi demand and distribution of facilities should be included.

A Study on the Usage Factors of Mobile Banking Apps by Korean Banks in Vietnam: Focused on the Viewpoints of App User and App Provider

A Study on the Usage Factors of Mobile Banking Apps by Korean Banks in Vietnam: Focused on the Viewpoints of App User and App Provider

Prolonged Opioid Usage Following Hip Fracture Surgery in Opioid-Naïve Older Patients

BackgroundWhile the risk of long-term dependence following the opioid treatment of musculoskeletal injury is often studied in younger populations, studies in older patients have centered on short-term risks such as oversedation and delirium. This study investigated prolonged opioid usage after hip fracture in older individuals, focusing on prevalence, risk factors, and changes over time. MethodsIn this retrospective cohort study of 47,309 opioid-naïve patients aged ≥ 60 years who underwent hip fracture surgery (2009 to 2020), outpatient opioid use was evaluated in 3 postoperative time periods: P1 (day 0 to 30 postsurgery); P2 (day 31 to 90); and P3 (day 91 to 180). The primary outcome was prolonged outpatient opioid use, defined as having one or more opioid prescriptions dispensed in all 3 time periods. ResultsThe incidence of prolonged opioid usage among patients surviving to P3 was 6.3% (2,834 of 44,850). Initial prescription quantities decreased over time, as did the risk of prolonged opioid usage (from 8.0% in 2009 to 3.9% in 2019). In the multivariable analyses, risk factors for prolonged opioid usage included younger age, women, current/former smoking, fracture fixation (as compared to hemiarthroplasty), and anxiety. Prolonged opioid usage was less common among patients who were Asian or had a history of dementia. ConclusionsWhile prior research on the hazards of opioids in the elderly has focused on short-term risks such as oversedation and delirium, these findings suggest that prolonged opioid usage may be a risk for this older population as well. As initial prescription amounts have decreased, declines in prolonged opioid medication usage have also been observed.

The obstacles to word formation processes in Kurdish Language

Word Formation is a wide and important process in Languages. Words can be coined in various ways and forms such as coining, inventing words, blending, etc. . These processes sometimes occur according to rules, but at other times they occur while violating the existing rules. In certain cases, some phonological, semantic, and usage factors hinder the process of word formation. Besides the introduction, conclusions, and the references list, this research consists of two major parts. In the first part, morphological structures in Kurdish language are explained; syntactic and lexicographical morphemes are introduced, roots and affixes are presented. In the second section, the morphology of word formation is generally discussed, then compounding, affixation, blending, and word borrowing processes are explained. In the second part, the classification of semantic features and in the second section, the word formation processes and rules are stated. In the third section the obstacles to word formation processes are analyzed. A summary about word formation based on rules and while violating rules is presented and finally, the concluding points and the references list are provided.

Exploring spatiotemporal patterns and influencing factors of ridesourcing and traditional taxi usage using geographically and temporally weighted regression method

ABSTRACT The rivalry between ridesourcing and the traditional taxi has posed great challenges to traffic management authorities. Understanding the spatial patterns and influencing factors of their usage can help traffic authorities develop insightful policies and strategies to coordinate the operations of the two services better. This study develops a novel geographically and temporally weighted regression model (GTWR) to unravel the spatiotemporal patterns and influencing factors of the two services based on a high-resolution GPS dataset. The developed GTWR model achieves greater performance than other traditional methods. The results reveal that the spatiotemporal impacts of influencing factors on the usage of ridesourcing are quite different from that of traditional taxi. The spatiotemporal distribution and evolution of the coefficients are further discussed. The findings of the study could help traffic management authorities develop efficient regulatory policies to enhance the operations of the two services in specific areas and periods.

Do Owner Characteristic, Technology Usage, and Product Competence Affect Small Business Performance?

The purpose of the research is to evaluate the factors of owner characteristics, technology usage, and product competence toward small business performance. The research model was tested using a survey of 64 small business shoppers in Jakarta. The research findings indicate that owner characteristics, technology usage, and product competence affect small business performance. The results point to the importance of owner characteristics, technology usage, and product competence factors in understanding small business performance.

The Predictors of Mobile Banking Usage: A Systematic Literature Review

Mobile banking has become an essential method to conduct banking transaction. However, number of users worldwide are still limited. The purpose of this study is to review the literature and understand the status of m-banking adoption, usage, and loyalty. Keywords were used to search for related articles in three databases namely, Web of Science (WoS), Scopus, and Google scholar. Filtering process was conducted to select the most related articles. This has resulted in reviewing 45 articles. The findings showed that number of articles pertaining to m-banking is increasing. Malaysia and Indonesia have the largest number of articles. The technology acceptance model (TAM) is being used widely in the m-banking literature and most of the reviewed studies are empirical with adequate sample size. This explains the increased usage of structural equation model (SEM). The most critical factors for m-banking adoption, usage, and loyalty are service quality, trust, perceived usefulness, perceived ease of use, security, risk, privacy, and social influence. Future research is suggested to examine the m-banking in different region and using mediating and moderating variables to explain the variation in the adoption.