Reading Index Research Articles

Improve customer service quality, reduce operating expenses, and improve energy sales by the K-MEANS method and path optimization algorithms

Managing consumer expectations was essential to maintaining customer satisfaction throughout the electricity contract. However, the service provided to customers was based on the location of electrical meters. In the absence of addressing in rural areas, it was too difficult to ensure a comprehensive survey of electrical meter indexes and intervene in time for troubleshooting. The method adopted was the choice of a site with a significant number of meters and energy transformers and the geolocation of electrical installations by a GPS that allowed the assignment of a universal address to electrical installations and facilitated the location of facilities for maintenance and emergency response. The study of optimization algorithms has directed the choice toward the algorithm of the nearest neighbor that remains fast and aims to other algorithms whose number of iterations can be exponential (n! iterations) but less exact. The integration of route optimization algorithms has improved the reactivity of technicians, reduced operational costs, and ensured accurate reading of indexes and transparent billing. The study presents a specific case in Morocco, where route optimization based on GPS coordinates of électric meters in reading indexes has significantly improved efficiency and customer satisfaction. In addition, the K-Means method was used to determine the centroids and clusters that represent respectively the transformation stations and the groups of electrical meters. These groupings allow the calculation of energy sales by transformer station to increase them by reducing energy losses

Is Information About Musculoskeletal Malignancies From Large Language Models or Web Resources at a Suitable Reading Level for Patients?

Patients and caregivers may experience immense distress when receiving the diagnosis of a primary musculoskeletal malignancy and subsequently turn to internet resources for more information. It is not clear whether these resources, including Google and ChatGPT, offer patients information that is readable, a measure of how easy text is to understand. Since many patients turn to Google and artificial intelligence resources for healthcare information, we thought it was important to ascertain whether the information they find is readable and easy to understand. The objective of this study was to compare readability of Google search results and ChatGPT answers to frequently asked questions and assess whether these sources meet NIH recommendations for readability. (1) What is the readability of ChatGPT-3.5 as a source of patient information for the three most common primary bone malignancies compared with top online resources from Google search? (2) Do ChatGPT-3.5 responses and online resources meet NIH readability guidelines for patient education materials? This was a cross-sectional analysis of the 12 most common online questions about osteosarcoma, chondrosarcoma, and Ewing sarcoma. To be consistent with other studies of similar design that utilized national society frequently asked questions lists, questions were selected from the American Cancer Society and categorized based on content, including diagnosis, treatment, and recovery and prognosis. Google was queried using all 36 questions, and top responses were recorded. Author types, such as hospital systems, national health organizations, or independent researchers, were recorded. ChatGPT-3.5 was provided each question in independent queries without further prompting. Responses were assessed with validated reading indices to determine readability by grade level. An independent t-test was performed with significance set at p < 0.05. Google (n = 36) and ChatGPT-3.5 (n = 36) answers were recorded, 12 for each of the three cancer types. Reading grade levels based on mean readability scores were 11.0 ± 2.9 and 16.1 ± 3.6, respectively. This corresponds to the eleventh grade reading level for Google and a fourth-year undergraduate student level for ChatGPT-3.5. Google answers were more readable across all individual indices, without differences in word count. No difference in readability was present across author type, question category, or cancer type. Of 72 total responses across both search modalities, none met NIH readability criteria at the sixth-grade level. Google material was presented at a high school reading level, whereas ChatGPT-3.5 was at an undergraduate reading level. The readability of both resources was inadequate based on NIH recommendations. Improving readability is crucial for better patient understanding during cancer treatment. Physicians should assess patients' needs, offer them tailored materials, and guide them to reliable resources to prevent reliance on online information that is hard to understand. Level III, prognostic study.

Middle-schoolers' reading and lexical-semantic processing depth in response to digital and print media: An N400 study.

We report the first use of ERP measures to identify text engagement differences when reading digitally or in print. Depth of semantic encoding is key for reading comprehension, and we predicted that deeper reading of expository texts would facilitate stronger associations with subsequently-presented related words, resulting in enhanced N400 responses to unrelated probe words and a graded attenuation of the N400 to related and moderately related words. In contrast, shallow reading would produce weaker associations between probe words and text passages, resulting in enhanced N400 responses to both moderately related and unrelated words, and an attenuated response to related words. Behavioral research has shown deeper semantic encoding of text from paper than from a screen. Hence, we predicted that the N400 would index deeper reading of text passages that were presented in print, and shallower reading of texts presented digitally. Middle-school students (n = 59) read passages in digital and print formats and high-density EEG was recorded while participants completed single-word semantic judgment tasks after each passage. Following digital text presentation, the N400 response pattern to moderately-related words indicated shallow reading, tracking with responses to words that were unrelated to the text. Following print reading, the N400 responses to moderately-related words patterned instead with responses to related words, interpreted as an index of deeper reading. These findings provide evidence of differences in brain responses to texts presented in print and digital media, including deeper semantic encoding for print than digital texts.

El hecho diferencial del periodismo de la Macaronesia insular (Canarias, Madeira, Azores y Cabo Verde) en los sistemas informativos ibéricos

In the lines that follow, we propose to highlight the differential fact that, within their corresponding states, singles out and brings together the journalism of the four Macaronesian archipelagos, the Canary Islands, Madeira Azores and Cabo Verde, the latter becoming independent from Portugal in 1975. In coherence with the particularities of their respective geographical and historical substrates, we will explain how the information systems of such island spaces, although they share with the continental ones of Spain and Portugal the late business development of newspapers, the poor professionalization of journalists, the low reading indexes and, ultimately, the obstacles of the southern European countries as parts of them that they are, differ from them, however, due to an ideological centrality that has no place in the traditional polarized pluralism of the Iberian Peninsula.

MNREAD Reading Vision in Adults With Glaucoma Under Mesopic and Photopic Conditions.

Despite good photopic visual acuity, glaucoma patients report difficulty performing daily activities under dim light such as reading. Here we investigated the impact of mesopic lighting conditions on reading vision of glaucoma patients. The study design included 39 patients with glaucoma and 40 healthy controls. Reading vision was assessed with MNREAD charts under mesopic (2 cd/m2) and photopic (220 cd/m2) conditions. Four reading indexes: maximum reading speed (MRS), critical print size (CPS), reading acuity (RA), and reading accessibility index (ACC) were obtained from the MNREAD test yielding a plot of reading speed versus print size. Compared to photopic conditions, reading vision of both healthy controls and glaucoma patients significantly decreased under mesopic conditions (P < 0.05). For glaucoma patients (85% with mild or moderate glaucoma), MRS and ACC decreased by six words per minute and 0.1, respectively under mesopic conditions; CPS and RA increased by 0.25 and 0.18 logMAR, respectively. Moreover, under both photopic and mesopic conditions, reading vision of glaucoma patients was significantly worse than that of healthy controls, but the difference was greater under mesopic conditions (P < 0.05) even after controlling for age and visual acuity. Mesopic conditions make reading more challenging for both healthy controls and glaucoma patients. However, reading in dim light appears to be more burdensome for glaucoma patients. Mesopic reading tests mediated by both cone and rod photoreceptor systems likely provide a more sensitive and comprehensive assessment of a patient's reading impairment than testing under photopic conditions.

Identifying the severity of diabetic retinopathy by visual function measures using both traditional statistical methods and interpretable machine learning: a cross-sectional study

Aims/hypothesisTo determine the extent to which diabetic retinopathy severity stage may be classified using machine learning (ML) and commonly used clinical measures of visual function together with age and sex.MethodsWe measured the visual function of 1901 eyes from 1032 participants in the Northern Ireland Sensory Ageing Study, deriving 12 variables from nine visual function tests. Missing values were imputed using chained equations. Participants were divided into four groups using clinical measures and grading of ophthalmic images: no diabetes mellitus (no DM), diabetes but no diabetic retinopathy (DM no DR), diabetic retinopathy without diabetic macular oedema (DR no DMO) and diabetic retinopathy with DMO (DR with DMO). Ensemble ML models were fitted to classify group membership for three tasks, distinguishing (A) the DM no DR group from the no DM group; (B) the DR no DMO group from the DM no DR group; and (C) the DR with DMO group from the DR no DMO group. More conventional multiple logistic regression models were also fitted for comparison. An interpretable ML technique was used to rank the contribution of visual function variables to predictions and to disentangle associations between diabetic eye disease and visual function from artefacts of the data collection process.ResultsThe performance of the ensemble ML models was good across all three classification tasks, with accuracies of 0.92, 1.00 and 0.84, respectively, for tasks A–C, substantially exceeding the accuracies for logistic regression (0.84, 0.61 and 0.80, respectively). Reading index was highly ranked for tasks A and B, whereas near visual acuity and Moorfields chart acuity were important for task C. Microperimetry variables ranked highly for all three tasks, but this was partly due to a data artefact (a large proportion of missing values).Conclusions/interpretationEnsemble ML models predicted status of diabetic eye disease with high accuracy using just age, sex and measures of visual function. Interpretable ML methods enabled us to identify profiles of visual function associated with different stages of diabetic eye disease, and to disentangle associations from artefacts of the data collection process. Together, these two techniques have great potential for developing prediction models using untidy real-world clinical data.Graphical

Strengthening civic literacy among students through digital literacy in society 5.0

The reading index in Indonesia is still relatively low, so many students are victims of fake news that develops on social media. In addition, students have not been able to utilize digital technology as digital literacy to the fullest, so it has implications for the weakness of knowledge about civic literacy. The research design used is a literature review and the type of qualitative research. The research method is literature, while the data collection technique uses document studies and the data analysis used is content analysis. Civic literacy has an important role in facing the era of society 5.0, with the ability of civic literacy, really helps students to participate in realizing the harmony of the life of the nation and state. Society 5.0 has a formidable challenge for higher education if each lecturer does not equip students with civic literacy skills. Strategies to strengthen civic literacy through digital literacy can be carried out effectively, by implementing varied learning methods and using digital-based learning media. Through this, students will be interested in learning, considering that students are a digital native generation who cannot be separated from digital technology. Strengthening civic literacy is very effective by utilizing digital literacy so that every student can adapt to the times, especially society in the 5.0 era.

Reading Card and Index Card Match as a Learning Media in Mathematics Subject Materials of Fractions

The application of Reading Card and Index Card Matching strategies in Mathematics is done in a fun way. The implementation repeats the material that has been given before. emphasis on numeracy skills. The focus of this research is how to apply the Reading Card and Index Card Match strategies in Mathematics in class IV MI Islamiyah Jatirogo, Jatirogo District, Tuban Regency. This research sample uses 15 students. The method in this research is qualitative. Based on the research conducted, it can be concluded that the application of the Reading Card and Index Card Match strategies applied in learning Mathematics has been carried out well. The teacher has been able to make lesson plans well, namely by making lesson plans and preparing media in the form of well-matched cards. In the implementation of learning the teacher has been able to carry out learning steps with the Reading Card and Index Card Match strategies. In the evaluation activities, the teacher carried out the evaluation well so that it was seen that with the Reading Card Match and Index Card Match strategies the student learning outcomes were satisfactory so that this strategy was used again in subsequent learning.

The cumulative effect of socioeconomic status and dyslexia on linguistic, cognitive and reading skills among Arabic‐speaking children

Research has shown that children with dyslexia and children with a low socioeconomic status (SES) fall behind in terms of literacy acquisition, but a question remains regarding the cumulative effect of dyslexia and SES on linguistic, cognitive and reading skills. To examine the impact of cognition and environment on literacy development, we returned to the data set of 1,441 elementary school children (223 dyslexic readers and 1,241 typical readers) from low and medium-high SES backgrounds within Palestinian society in Israel who had participated in the development study of a comprehensive battery of tests in oral and written Arabic. The findings of this retrospective study reveal that, across grade levels, dyslexic readers from a low SES background showed similar performance to those from a medium-high SES background on most linguistic, cognitive and reading measures. As for typical readers, SES contributed to individual differences in all linguistic, cognitive and reading indices, with the exception of RAN. Finally, a cumulative effect of dyslexia and SES was found in relation to morphology, vocabulary, listening comprehension and text-reading accuracy.

Effects of prenatal polycyclic aromatic hydrocarbons and childhood material hardship on reading achievement in school-age children: A preliminary study.

Children from socioeconomically disadvantaged backgrounds are at elevated risk for reading problems. They are also likely to live in neighborhoods with high levels of air pollution and to experience material hardship. Despite these risk factors, the links between prenatal chemical exposures, socioeconomic adversities, and reading problems in youth from disadvantaged backgrounds remain understudied. Here we examine associations between prenatal exposure to polycyclic aromatic hydrocarbons (PAH), a common air pollutant, and reading skills, and determine if this relationship is exacerbated by material hardship among Black and/or Latinx children who have been followed as part of a longitudinal urban birth cohort. Mothers and their children, who were participants in a prospective birth cohort followed by the Columbia Center for Children's Environmental Health, were recruited for the current study. Personal prenatal PAH exposure was measured during the third-trimester of pregnancy using a personal air monitoring backpack. Mothers reported their level of material hardship when their child was age 5 and children completed measures of pseudoword and word reading [Woodcock Johnson III Tests of Achievement (WJ-III) Basic Reading Index] at age 7. We used multiple linear regression to examine the effects of the interaction between prenatal PAH and material hardship on Basic Reading Index, controlling for ethnicity/race, sex, birthweight, presence of a smoker in the home (prenatal), and maternal education (prenatal) (N = 53). A prenatal PAH × material hardship interaction significantly associated with WJ-III Basic Reading Index scores at age 7 (β = -0.347, t(44) = -2.197, p = 0.033). Exploratory analyses suggested that this effect was driven by untimed pseudoword decoding (WJ-III Word Attack: β = -0.391, t(44) = -2.550, p = 0.014). Environmental chemical exposures can be particularly toxic during the prenatal period when the fetal brain undergoes rapid development, making it uniquely vulnerable to chemical perturbations. These data highlight the interactive effects of environmental neurotoxicants and unmet basic needs on children's acquisition of reading skill, specifically phonemic processing. Such findings identify potentially modifiable environmental risk factors implicated in reading problems in children from economically disadvantaged backgrounds.

Risk management committees and readability of risk management disclosure

This paper examines whether the presence of risk management committees is associated with the readability of risk management disclosure. Specifically, we consider the presence and the effectiveness of risk management committees. We measure the readability of risk management disclosure using six different readability indices, namely: Bog index; Flesch Reading Ease score; Coleman–Liau index; Flesch–Kincaid Grade level; Simple Measure of Gobbledygook; and Automated Reading index. We find that the presence and the effectiveness of risk management committees are associated with the higher readability of risk management disclosure. We adopt various methods, including an instrumental variable approach, the entropy balancing method and the dynamic generalised method of moments, to address endogeneity concerns. Taken together, our results highlight the important role of the risk management committee in communicating risk management information.

Diagnostic Value of Artificial Intelligence Based on CT Image in Benign and Malignant Pulmonary Nodules.

Objective To evaluate the diagnostic value of artificial intelligence-assisted CT imaging in benign and malignant pulmonary nodules. Methods The CT scan screening of pulmonary nodules from November 2018 to November 2020 was retrospectively collected. The diagnosis of pulmonary nodules and surgical treatment were performed. A total of 194 nodules in 152 patients with clear pathological results were observed. All patients underwent CT examination to analyze the consistency of the results of artificial intelligence, physician reading according to imaging features, multidisciplinary team work (MDT) diagnosis, and postoperative pathological results; the diagnostic efficacy of different diagnostic methods for solitary pulmonary nodules and the differences of ROC curve and AUC were analyzed. The accuracy, specificity, sensitivity, positive predictive value, negative predictive value, false negative rate, and false positive rate of different diagnostic methods for pulmonary nodules were calculated, and the ROC curves of different diagnostic methods were plotted. Results The accuracy, sensitivity, specificity, and Youden index of artificial intelligence (AI) were 89.69%, 92.98%, 65.22%, and 58.20%; the accuracy, sensitivity, specificity, and Youden index of physician reading were 85.57%, 88.30%, 65.22%, and 53.52%; the accuracy, sensitivity, specificity, and Youden index of MDT were 96.91%, 98.25%, 86.96%, and 85.21%, respectively. The kappa values of artificial intelligence, physician reading, and MDT were 0.541, 0.437, and 0.852, and the AUC was 0.768, 0.791, and 0.926, respectively (P < 0.001). The average detection time of pulmonary nodules in the AI group, manual reading group, and MAT group was (145 ± 97) s, (534 ± 297) s, and (421 ± 128) s (P < 0.001). Conclusion Artificial intelligence pulmonary nodule detection system can improve the coincidence rate and accuracy of early diagnosis of lung cancer, shorten the average detection time, and provide more accurate information for clinical decision-making.

Readability formulas: An analysis into reading index of prose forms

Text comprehension will suffer if the readability level is not accessible to the students. Readability formulas predict text complexity, assisting in appropriate text selection that complements students’ reading abilities to improve their language development. Therefore, the study aims to find out the reading index of the prose forms in the literature component catered to lower secondary school students ages 13 and 14 years old in Form One (seventh grade) and Form Two (eighth grade) classrooms in Malaysia. The reading index is measured by using four readability formulas which are Dale-Chall, Fog, SMOG, and Flesch-Kincaid that focuses on the words, sentences, syllables, and polysyllable words. These formulas are used to predict the level of difficulty of the prose forms. The reading index calculated from these readability formulas reveals the grade level of the prose forms. The grade level indicates the best age for reading and understanding the prose forms. Two prose forms were chosen as samples in the study. A passage is chosen from each prose form to be uploaded using the online tool. The indices obtained from the readability formulas predicted that both of the prose forms were below students’ reading age. The study implicates reading index must be taken into consideration in literary texts selection because it is an indicator of the years of education that an individual requires to comprehend the literary text clearly. Suitable reading material at students’ age level can enhance literature learning and teaching in the ESL classroom.

독자변인을 적용한 영어와 국어 읽기능력 진단체계의 독서지수 상관관계 분석

독자변인을 적용한 영어와 국어 읽기능력 진단체계의 독서지수 상관관계 분석

What are patients reading? Assessing the quality of online resources on sudden cardiac arrest in athletes

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Patients frequently use the internet as an educational resource and sometimes in complete substitution of an expert physician’s consultation. Sudden cardiac arrests (SCA) in athletes are often sensationalised and attract much online readership. No studies have explored the quality of online content relating to SCA in athletes. Purpose To assess the quality of online educational resources on SCA in athletes. Methods The first 200 hits of the search "sudden cardiac arrest in athletes" on Google were analyzed. For each website, reading difficulty was evaluated using 5 validated reading indices. Content quality was assessed with point-based scoring systems established by expert opinion. Results A total of 115 unique web domains met eligibility criteria, only 2 of which were within the limits of national recommended readability level (≤8th grade). 53.9% were from educational institutions. Mean content accuracy scored only 6.5 ± 3.9 out of 15 (43%), and mean school-grade reading level was 13.3 ± 2.9 years (equivalent to a post-secondary level of education). The majority of websites had poor lay appropriate explanations of concepts; 91.3% failed to adequately explain basic principles of treatment; 68.7% failed to mention over half of common etiologies associated with SCA; only 59.1% correctly cited incidence of SCA amongst young athletes; 24.3% did not explore management options and only 28.7% mentioned treatment options beyond immediate resuscitation. Higher reading difficulty correlated with higher accuracy scores (β 1.1, p &amp;lt; 0.001). Conclusion There is a paucity of accurate, lay language appropriate online health information on SCA in athletes. Incomprehensible and incomplete information may lead to inappropriate decisions by patients. A collaborative approach between experts and patients may assist in the creation of resources related to athletes’ health.

Experimental and kinetic studies on ash fusion behavior: a high‐precision acquisition method for ash fusion temperatures

AbstractAsh fusion characteristics including ash properties and morphological changes in high‐temperature fusion test were studied among four types of fuels comprising two woody biomass, three straw biomass, two bituminous coals, and three biomass/coal mixtures. On the basis of ash fusion behavior and kinetic analysis of the ash melting process, a high‐precision acquisition method for ash fusion temperatures (AFTs) was developed. First, a reading index of AFTs was proposed; that is, in high‐temperature fusion test, initial deformation temperature (IDT), softening temperature (ST), and fluid temperature (FT) could be identified by the height shrinkage of 38%, 86%, and 98%, or the area shrinkage of 50%, 77%, and 97%, respectively. Kinetic analysis conducted on height/area shrinkage indicated that activation energy was highly related to temperature difference among IDT, ST, and FT, and low activation energy facilitated the enlargement of the temperature differences of ST‐IDT and FT‐ST. XRD patterns illustrated low activation energy had a promotion effect on the generation of higher melting substances such as KAlSi3O8 and CaSiO3, causing the elevation of the ST and FT. At last, a calculation method for AFTs based on activation energy and average height/area shrinkage was performed, which had high repeatability within an average error of ~6°C.

Developing fluency and comprehension with the secondary fluency routine

This article examines the effects of a reading fluency intervention on the fluency and comprehension of struggling middle school readers. The secondary fluency routine was developed by the first author, and was based on effective practices described in other studies. Thirty-nine seventh and eighth grade students enrolled in reading intervention classes participated in the study, which lasted for a period of 18 weeks. Students in the treatment classes participated in the Secondary Fluency Routine for 10 minutes daily, while students in the comparison classrooms participated in independent reading during that time. Participants were pre- and posttested using the GORT-5. A repeated measures analysis of variance was conducted on all outcome measures which included rate, accuracy, fluency, oral reading index, prosody, and comprehension. There were no interaction effects; however, main effects were detected on all measures, and mean difference effect sizes indicated that the intervention was effective in increasing reading fluency and comprehension.

Readability of English and Spanish forms of two adaptive behavior rating scales

AbstractAdaptive behavior rating scales are widely used assessments that ask teachers and parents to rate how well students care for themselves, interact with others, and exhibit practical and academic skills. While adaptive rating scales have yielded reliable and valid results, it is unclear how the readability of the rating forms may impact the results, especially for parents who may have lower literacy levels. Using three readability indices—the Flesch Reading Ease for English, the Fernández Huerta for Spanish, and the Automated Reading Index for both English and Spanish—the readability of the English and Spanish parent/caregiver forms of the Vineland‐3 and ABAS‐3 was assessed. Results indicated that the reading grade level equivalent of the English and Spanish versions of the ABAS‐3 was on average greater than the recommended sixth grade level. In contrast, the readability of the Spanish and English versions of the Vineland‐3 was on average sixth grade level and below. Based on these results, when using parent/caregiver adaptive behavior rating forms, school psychologists should take precautions to ensure valid results by ascertaining parent/caregiver reading proficiency, providing additional explanations as permitted by the assessment protocols, and using alternative interview forms provided by publishers as needed.

Evaluating Reading Performance in Different Preferred Retinal Loci in Persian-Speaking Patients with Age-Related Macular Degeneration.

Purpose:To evaluate reading performance in different preferred retinal loci (PRLs) using a Persian version of a Minnesota Low Vision Reading (MNREAD) chart in Persian-speaking patients with age-related macular degeneration (AMD).Methods:In this cross-sectional study, 35 patients with AMD were assessed. The reading performance was investigated by the MNREAD chart without using low vision aids. The location of PRL was determined monocularly using an MP1 microperimeter (Nidek Technologies, Padua, Italy). The anatomical location of the fovea was determined using optical coherence tomography (OCT). Images were taken with the MP1 microperimeter, and Spectralis HRA-OCT device was processed using graphic software to determine the location of the PRL on the retina.Results:Thirty-five patients (51 eyes) with a mean age of 73.8 ± 7.7 years (range, 54–88 years) were assessed. Mean best corrected distance visual acuity (logMAR) was 0.65 ± 0.35 (range, 0.2–1.3). Mean levels of reading acuity (RA) (P = 0.009) and critical print size (CPS) (P = 0.015) were significantly different in different locations of PRL. Average scores of maximum reading speed (MRS) (P = 0.058) and reading accessibility index (ACC) (P = 0.058) were not statistically significant in different locations of PRL. There was a positive correlation between PRL-fovea distance and RA (P < 0.001, r = 0.591) and CPS (P < 0.001, r = 0.614). Significant negative correlations were observed between PRL-fovea distance and MRS (P < 0.001, r = −0.519) and ACC (P < 0.001, r = −0.545).Conclusions:This study provides evidence for differences in the reading performance of Persian-speaking patients with AMD in different PRL locations. The average scores of all reading indices obtained in the right-field PRL are lower than those in other areas and are highly correlated with the PRL-fovea distance.

TECHNOLOGY READINESS AND TECHNOLOGY ACCEPTANCE OF ACADEMIC STAFFS

Technology Reading Index (TRI) has used to determine individuals’ willingness to use of technology. This study focuses on differences among belief and use new technology of academic staffs. The article examines how each dimension (optimism, innovativeness, discomfort, insecurity) of Technology Reading Index (TRI) influences Technology Acceptance Model (TAM) which have consumer perceived usefulness and perceived ease of use dimensions. The results show that of optimism dimension of TRI has a positive effect on both consumers perceived usefulness and perceived ease of use while innovativeness dimension has a positive effect on perceived ease of use. Researches on TRI and TAM have overlooked the potential role of technology readiness and acceptance in the development of academic staff. This study tests belief and use new technology of academic staffs.