Home Computer Research Articles

Remote Infant Studies of Early Learning (RISE): Scalable online replications of key findings in infant cognitive development.

The current article describes the Remote Infant Studies of Early Learning, a battery intended to provide robust looking time measures of cognitive development that can be administered remotely to inform our understanding of individual developmental trajectories in typical and atypical populations, particularly infant siblings of autistic children. This battery was developed to inform our understanding of early cognitive and language development in infants who will later receive a diagnosis of autism. Using tasks that have been successfully implemented in lab-based paradigms, we included assessments of attention, memory, prediction, word recognition, numeracy, multimodal processing, and social evaluation. This study reports results on the feasibility and validity of administration of this task battery in 55 infants who were recruited from the general population at age 6 months (n = 29; 14 female, 15 male) or 12 months (n = 26; 14 female, 12 male; 62% White, 13% Asian, 1% Black, 1% Pacific Islander, 22% more than one race; 6% Hispanic). Infant looking behavior was recorded during at-home administration of the battery on the family's home computer and automatically coded for attention to stimuli using iCatcher+, an open-access software that assesses infant gaze direction. Results indicate that while some tasks replicated lab-based findings (attention, memory, prediction, and numeracy), others did not (word recognition, multimodal processing, and social evaluation). These findings will inform efforts to refine the battery as we continue to develop a robust set of tasks to improve the understanding of early cognitive development at the individual level in general and clinical populations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Methods for Detecting the Patient’s Pupils’ Coordinates and Head Rotation Angle for the Video Head Impulse Test (vHIT), Applicable for the Diagnosis of Vestibular Neuritis and Pre-Stroke Conditions

In the contemporary era, dizziness is a prevalent ailment among patients. It can be caused by either vestibular neuritis or a stroke. Given the lack of diagnostic utility of instrumental methods in acute isolated vertigo, the differentiation of vestibular neuritis and stroke is primarily clinical. As a part of the initial differential diagnosis, the physician focuses on the characteristics of nystagmus and the results of the video head impulse test (vHIT). Instruments for accurate vHIT are costly and are often utilized exclusively in healthcare settings. The objective of this paper is to review contemporary methodologies for accurately detecting the position of pupil centers in both eyes of a patient and for precisely extracting their coordinates. Additionally, the paper describes methods for accurately determining the head rotation angle under diverse imaging and lighting conditions. Furthermore, the suitability of these methods for vHIT is being evaluated. We assume the maximum allowable error is 0.005 radians per frame to detect pupils’ coordinates or 0.3 degrees per frame while detecting the head position. We found that for such conditions, the most suitable approaches for head posture detection are deep learning (including LSTM networks), search by template matching, linear regression of EMG sensor data, and optical fiber sensor usage. The most relevant approaches for pupil localization for our medical tasks are deep learning, geometric transformations, decision trees, and RASNAC. This study might assist in the identification of a number of approaches that can be employed in the future to construct a high-accuracy system for vHIT based on a smartphone or a home computer, with subsequent signal processing and initial diagnosis.

A Process for Measuring Lip Kinematics Using Participants’ Webcams during Linguistic Experiments Conducted Online

Recent advances in automated face-tracking have made it possible for laboratory phonologists to measure lip motion using technology no more advanced than a common webcam. The present paper introduces a lip-tracking approach specifically designed for use in web-based research. The central innovation is a custom extension written for jsPsych, an existing JavaScript framework for running behavioral experiments online. This extension gathers data from the participant’s webcam and processes them through FaceMesh, an open-source, JavaScript face-tracker. Face-tracking happens on the fly inside the participant’s browser. Only time-stamped vertical or horizontal lip apertures are saved to the experiment server. That is, this extension allows experiments implemented in jsPsych to collect de-identified lip kinematics from participants seated at their own home computers. After explaining the core functionality of the extension, this paper presents two validation experiments. The first establishes that utterances with different lip kinematics result in very different lip aperture trajectories, and that the timing of a key kinematic landmark agrees with the timing of acoustic landmarks obtained for the same utterances. The second experiment replicates a vowel-priming result previously demonstrated using a prior face-tracking system and saved facial video. All associated scripts have been made publicly available.

The Role of the Supercomputer in the Modern World of Innovative Technologies

What is a supercomputer and why is it needed? What place does it occupy among computing equipment? Thanks to this article, we will determine the evolution and role of the supercomputer in the modern world and in the life of an average citizen. A supercomputer is a class of the most powerful computer systems available, which are evaluated in comparison with currently existing general purpose computer systems and the level of technology development. In general, the term "supercomputer" refers to a complex of server computers. All of them are connected to each other and work in parallel through a high-speed network. The similarity of a home computer and a supercomputer lies in their functions – data storage and processing, belonging to the same von Neumann architecture (the architecture of computing machines, the feature of which is the joint storage of data and machine commands in cells of the same memory). But the difference is huge in quantitative characteristics: these are the arrays of data that can be processed on these devices and the speed of performing the assigned tasks. By the way, a new unit of measurement – FLOPS – was proposed for measuring the speed of supercomputers. It is thanks to this value that performance is measured - the higher the number, the more powerful the computer is and which serves as the basis for ranking supercomputers. Today, supercomputers help solve a number of tasks in various fields – medicine, physics, mathematics, energy, etc. and are considered advanced computing technology. Traditionally, supercomputers are not considered rare: their development is ongoing and they bring a lot of benefits in many areas. In the future, powerful computing machines can become the main assistants in fields closely related to machine learning and artificial intelligence. Keywords: supercomputer, development evolution, computer architecture, FLOPS.

Challenges of Online Medical Education During the COVID-19 Pandemic Faced by 3rd and 4th Year Medical Students of Sir Salimullah Medical College, Dhaka

Background: Online education is a form of education where students use their home computers through the internet staying away from academic institutions. Due to the emergence of the pandemic of COVID-19, the whole world is experiencing number of huge deaths along with widespread panic and uncertainty. Countries of the world are trying to fill the gap and minimize the losses of students caused by the ongoing pandemic. Objective: This study mainly explores the challenges of online medical education during COVID-19 pandemic faced by 3rd and 4th year medical students of Sir Salimullah Medical College, Dhaka, Bangladesh. Methodology: This Descriptive cross-sectional study was conducted in Sir Salimullah Medical College, Dhaka from January 2021 to December 2021. A weblink of survey was shared with 439 3rd and 4th year medical students and 309 responses were obtained. Data were collected by using pretested semi structured questionnaire by face-to-face interview and by online google form due to COVID-19 pandemic situation and sample were collected by purposive sampling. Result: Among 309 respondents, 60.2% were female and 39.8% were male, 95.8% respondents were Bangladeshi, 46.3% respondents’ family income were around 30000 taka, 64.4% respondents lived in city, 22% respondents faced some challenges regarding internet connection, 8.41% respondents faced knowledge about internet browsing, 5.18% respondents faced problem regarding time management and 3.8% respondents faced problem about the adaptation of new method of learning. Despite these challenges 59.2% of the respondents reported positive response about beneficial effect of online classes and half (52.8%) of the respondents were satisfied with online classes. Conclusion: In medical education face-to-face education is essential. But due to lockdown there was no scope of practical and face to face education during COVID-19 pandemic situation. This study showed that there were some positive and negative impacts of online education. Eastern Med Coll J. July 2023; 8 (2): 7-12

Exploring the future: introduction of a new paradigm to examine intergroup experiences

Intergroup contact theory, as one of the most established research strands in social psychology, has mostly relied on overall measured averages of intergroup contact over larger time spans. Yet, in everyday life, intergroup contact experiences are far more complex: they are sequential and cumulative and may vary on a range of dimensions, such as, for example, their perceived valence. In this article, I introduce a new experimental paradigm, primarily developed as a research manipulation, to examine intergroup contact, manipulated on the unit of single interactions in a video-game setting, which can also be run from a web server, so that participants can join from their home computers. Depending on experimental condition, in a first study, participants rated the perceived quality of multiple positive or negative intergroup interactions with an alien species and intergroup attitudes in a storytelling questionnaire setting (Pilot Study, N = 242). Study 1 implemented these positive and negative interactions in a video game, which was played in the laboratory (N = 44), and examined their effects on the perceived contact quality and intergroup attitudes. Study 2 (N = 64) utilized a web-based version of the video game to test the effects on intergroup attitudes. In all three studies participants in the positive condition evaluated the interactions, as well as the overall outgroup, more positive than participants in the negative condition. Furthermore, Study 1 and 2 explored participants' perception of the virtual environment and previous experiences with video games. The results suggest that specifically developed video games offer new pathways to study intergroup interactions.

Do home computers and Internet access harm academic and psychological outcomes? Statistical evidence from Brazil, Mexico, Morocco, Thailand, and Turkey

Do home computers and Internet access harm academic and psychological outcomes? Statistical evidence from Brazil, Mexico, Morocco, Thailand, and Turkey

Effectiveness of Concurrent Positive and Negative Visual Feedback on a Computerized Motor Task of Varying Difficulties

The purpose of this online study was to examine the effectiveness of concurrent positive and negative visual feedback on the performance of a rotary-pursuit task. One hundred and nine physical education students were randomly assigned to three groups: a positive feedback group (n = 37), a negative feedback group (n = 35), and a control group (no feedback; n = 37). The students participated from their own home computers and performed an easy, moderate, and difficult rotary-pursuit task. On Day 1, the participants performed a pre-test with no feedback and practiced eight trials of each level of difficulty with the assigned feedback. On Day 2, they practiced eight trials of each level of difficulty again. On Day 3, they practiced eight trials of each level of difficulty with feedback and performed a post-test with no feedback. Finally, the participants were asked to report their subjective assessment of the task difficulty. The main findings were that in the task of moderate difficulty, negative feedback led to the best performance during practice. In addition, regardless of the difficulty level, practicing with negative feedback led to the best performance in the post-test. The results suggest that task difficulty moderates the effects of feedback on performance and that providing concurrent negative visual feedback in a continuous task may be more advantageous.

ZX Fusion: A ZX Spectrum Implementation on an FPGA with Modern Peripherals

The ZX Spectrum was a popular 8-bit home computer by Sinclair Research in the 1980s. Even though some of these computers may still work, the audio tapes, the TV with an analog tuner, and the micro-switch joystick that were used with the original ZX Spectrum are outdated and hard to find in good working order or to replicate. As many other old closed systems are also very difficult to update to support modern peripherals there is a necessity to provide a methodology to adapt such systems to support new peripherals while being compatible with existing software. This implementation is a means by which to validate the methodology before applying it to a physical system. The work proposed in this paper focused on recreating a ZX Spectrum+/48K computer and interfacing it with modern peripherals on an FPGA. This was accomplished by adding a co-processor to assist with the control of the more complex peripherals. Otherwise, the original system would require complex architectural changes and would perform poorly due to the low performance of the Z80 CPU. This work distanced itself from previous works on emulating a ZX Spectrum, as it focused on the use of different upgraded peripherals and the use of a NIOS II soft processor as a co-processor to manage the SD card accesses and save-state functionality. A demonstration of the proposed modernized architecture was made by successfully running a diagnostics ROM and playing original ZX Spectrum games from an SD card for games with a PS/2 keyboard and a pair of joysticks.

How to keep your information secure? Toward a better understanding of users security behavior

Use of computers and the Internet is an integral part of our lives, with business becoming more digital. As a result, individuals are using their home computers to perform diverse tasks and to store sensitive data. This paper investigates the relative efficacy of two strategies to protect home computers from security threats: security tools and security activities. For the analysis, we collected data from over 1900 individuals in Spain, following an approach combining self- reported data, via an online survey, with actual data collected directly from home users' computers. The main contribution of the paper is to provide a model, based on routine activity theory, explaining the role of security tools and security activities in protecting personal computers from malware infection, thus offering an in-depth understanding of users' security behavior. Using multivariate, logit and probit regressions, our study reveals that having security tools is positively related with higher risk activities and more infections, while pursuing security activities reduces malware infections. These results have important implications for policy makers and organizations, reinforcing the view that security tools are not sufficient to protect users from malware infection, and the need to develop security education and awareness programs for computer users.

Quantifying online citizen science: Dynamics and demographics of public participation in science.

Citizen scientists around the world are collecting data with their smartphones, performing scientific calculations on their home computers, and analyzing images on online platforms. These online citizen science projects are frequently lauded for their potential to revolutionize the scope and scale of data collection and analysis, improve scientific literacy, and democratize science. Yet, despite the attention online citizen science has attracted, it remains unclear how widespread public participation is, how it has changed over time, and how it is geographically distributed. Importantly, the demographic profile of citizen science participants remains uncertain, and thus to what extent their contributions are helping to democratize science. Here, we present the largest quantitative study of participation in citizen science based on online accounts of more than 14 million participants over two decades. We find that the trend of broad rapid growth in online citizen science participation observed in the early 2000s has since diverged by mode of participation, with consistent growth observed in nature sensing, but a decline seen in crowdsourcing and distributed computing. Most citizen science projects, except for nature sensing, are heavily dominated by men, and the vast majority of participants, male and female, have a background in science. The analysis we present here provides, for the first time, a robust 'baseline' to describe global trends in online citizen science participation. These results highlight current challenges and the future potential of citizen science. Beyond presenting our analysis of the collated data, our work identifies multiple metrics for robust examination of public participation in science and, more generally, online crowds. It also points to the limits of quantitative studies in capturing the personal, societal, and historical significance of citizen science.

71 Feasibility of Virtual Useful Field of View Assessment and Equivalence with In-Person Administration Among Youth Clinically Recovered from Concussion and Uninjured Controls

Objective:Youth athletes with concussion are at an increased risk of sustaining new concussions and orthopedic injuries after clearance for return-to-play. There are training programs, extensively studied in other patient populations, which can improve performance in cognitive domains that have been implicated in sport-related injury and re-injury after concussion (i.e., visual attention/processing speed). The Useful Field of View (UFOV) is one such training program, accompanied by a computerized adaptive assessment for evaluating response to training and maintenance in clinical trials. Remote UFOV assessment administration may help improve adherence, particularly in assessing long-term training effects. The current study explores the feasibility of virtual UFOV assessment and equivalence with in-person administration in youth clinically recovered from concussion and healthy controls.Participants and Methods:Participants included youth ages 10-18 enrolled in a longitudinal study examining neural recovery following medical clearance from concussion. UFOV was attempted in 61 participants (Mage=15.06; SD=2.00; n=19 in-person; n=42). Of these, 7 virtual administrations were discontinued due to computer limitations, and 1 in-person administration was excluded due to overall performance validity concerns. This resulted in a total sample of 53 participants (Mage=15.02, SD=2.00, 58.5% male; n=14 concussion, Mdays_since_injury=272.64, SD=185.35; n=39 controls). UFOV was administered either in-person (n=18) using manual guidelines or virtually (n=35) on the participant’s computer using video-conference screen-share and a secondary device for an additional view of the participant and their keyboard/mouse. For virtual visits, the examiner recorded concerns about the remote testing environment (e.g., screen glare, viewing distance not measured appropriately), and analyses were conducted with and without cases with concerns. Between-group (in-person vs virtual administration) demographic differences were examined using chi-square tests/t-tests. Mann-Whitney U tests were used to examine for differences in UFOV scores (ms; higher scores are worse) by administration context (in-person vs. virtual) given threats to normality.Results:For virtual administrations, the most commonly reported concerns about the remote testing environment were related to lighting (n=12) and viewing distance (n=3). There were no significant differences in age, sex, concussion history, sport participation history, or IQ by administration context (in-person vs. virtual). UFOV performance did not vary significantly by administration context for processing speed or divided attention subtests, but performance on the selective attention subtest was significantly better in the virtual administration group (Median in-person =93.33; Medianvirtual=63.33; U=203.00, p=0.035). This trend persisted after removing an outlier (>2SD; p=0.065) and after removing cases where lighting (p=0.060) and screen-viewing distance (p=0.085) were not adequately controlled.Conclusions:Though preliminary, results suggest that UFOV can be administered virtually, in youth with and without a history of concussion, but that those assessed virtually using their home computer may have an advantage, particularly for the selective attention subtest. This may be due to comfort level within the home environment or subtle differences in viewing distance that were not appreciated by the examiner remotely. Importantly, not all participants were able to complete the assessment virtually due to computer limitations. Future work with larger samples size should examine the extent to which completers vary from non-completers in terms of sociodemographic variables.

Examining the Factors Related to the Technological Pedagogical and Content Knowledge Levels of Preservice Social Studies Teachers

Technological pedagogical and content knowledge (TPACK) is a pedagogical tool that can provide teachers and preservice teachers opportunities to receive enhanced lesson input, engage in classroom interactions, and improve learning outcomes. This study aims at examining the factors related to the TPACK skills of preservice social studies teachers. Participants consisted of 368 preservice teachers studying at the social studies teacher education department of a university located in the Central Black Sea Region of Turkey. Participants completed the TPACK scale and personal information form. The data were analyzed using descriptive statistics, one-way multivariate analysis of variance, and one-way analysis of variance. The results of the study reveal that gender is associated with the preservice teachers’ technological knowledge, content knowledge, and pedagogical knowledge; education year is associated with technological knowledge and technological pedagogical knowledge; high school type is correlated with technological knowledge, technological pedagogical knowledge, technological content knowledge, and technological pedagogical and content knowledge; home computer ownership is associated with technological knowledge; and average weekly time spent using a computer is associated with technological knowledge and technological pedagogical and content knowledge. Finally, technical computer skills are correlated with technological knowledge, content knowledge, pedagogical knowledge, pedagogical content knowledge, technological pedagogical knowledge, and technological pedagogical and content knowledge. The current study may contribute to determining culturally specific and cross-cultural correlates of TPACK skills among preservice teachers.

School closure policies and student reading achievement: evidence across countries

The COVID-19 pandemic disrupted education worldwide as educational systems made the decision to close schools to contain the spread of the virus. The duration of school closures varied greatly internationally. In this study, we use international variation in school closure policies to examine the effects of school closures on student achievement. Specifically, we use representative trend data from more than 300,000 students in 29 countries to examine whether the length of school closures is related to changes in student achievement before and after the outbreak of COVID-19. We observe a significant and substantial negative effect of school closures on student reading achievement. This school closure effect remains even after controlling for measures of pandemic severity such as infection rates, vaccination policies, and a measure of lockdown stringency. The estimated effect implies that a year of school closures corresponds roughly to the loss of a little more than half a school year of learning. This effect is even more pronounced for socioeconomically disadvantaged students and those without home computer access.

Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences with ChronoRecord Over 20 Years.

Longitudinal study is an essential methodology for understanding disease trajectories, treatment effects, symptom changes, and long-term outcomes of affective disorders. Daily self-charting of mood and other illness-related variables is a commonly recommended intervention. With the widespread acceptance of home computers in the early 2000s, automated tools were developed for patient mood charting, such as ChronoRecord, a software validated by patients with bipolar disorder. The purpose of this study was to summarize the daily mood, sleep, and medication data collected with ChronoRecord, and highlight some of the key research findings. Lessons learned from implementing a computerized tool for patient self-reporting are also discussed. After a brief training session, ChronoRecord software for daily mood charting was installed on a home computer and used by 609 patients with affective disorders. The mean age of the patients was 40.3±11.8 years, a mean age of onset was 22±11.2 years, and 71.4% were female. Patients were euthymic for 70.8% of days, 15.1% had mild depression, 6.6% had severe depression, 6.6% had hypomania, and 0.8% had mania. Among all mood groups, 22.4% took 1-2 medications, 37.2% took 3-4 medications, 25.7 took 5-6 medications, 11.6% took 7-8 medications, and 3.1% took >8 medications. The daily mood charting tool is a useful tool for increasing patient involvement in their care, providing detailed patient data to the physician, and increasing understanding of the course of illness. Longitudinal data from patient mood charting was helpful in both clinical and research settings.

Calculating Couples: Computing Intimacy and 1980s Romance Software

Abstract In the 1980s, as the market for computing in the home was still emerging, a category of software arose that promised computer-mediated experiences of romance and sex. These programs, which this essay is calling “romance software,” drew on popular psychological and therapeutic discourses to offer couples advice for more satisfying relationships while also managing their interactions with the computer as an intimate or romantic activity. This essay argues that romance software employed the then novel home computer as a tool that could help mediate relational and communication ideals and bolster the heterosexual couple in the context of changing expectations for relationships in the 1980s. Romance software attempted to instantiate computing intimacy — referring not only to the application of computational methods to the management of relationships but also to the romantic or erotic experience of a couple using computers together. Although they amounted to a minor subset of the software introduced during the decade, these programs envisioned computing in the home as a technology to mediate companionate relationships. Romance software demonstrates that some software companies in the 1980s conceived of personal computer users not only as abstracted masculine individuals but rather addressed users within their roles in companionate relationships, in this case as part of a couple. These programs proposed methods through which computing could be used to assist in creating better relationships for couples that had adopted computers into their homes.

Home computer ownership and educational outcomes of adolescents in Greece

ABSTRACT We investigate the impact of home computer ownership on educational outcomes during adolescence. Using longitudinal survey data from Greece, we focus on the timing of exposure to home computers for children aged 14–18 and find that those without computer access have a 10 percentage point higher probability of dropping out of school compared to those with access. Employing a panel event study framework, we show that years of schooling increase in periods after the exposure to a personal computer at home. Our results suggest that disparities in computer access may affect significantly the human capital development during adolescence.

Designing Educational and Home Computers in State Socialism: The Polish and Czechoslovak Experience

Abstract This article investigates the design of two comparable microcomputers that were built under state socialism in neighboring countries: Poland (Elwro Junior) and Czechoslovakia (Didaktik Gama). Both computers were “clones” of the highly popular British ZX Spectrum computer. In our article, we discuss the decisions that informed the design of the local “clones” of the British computer, and how both endeavors were supposed to solve specific problems identified by the communities involved in their design. We argue that different configurations of power—in which the actors that took part in the design of both computers were embedded—were the primary reason why these similar products, the ZX Spectrum clones, were “scripted” in a substantially different manner. The Junior was designed as an “educational computer” envisaged as an aid to schooling, while the Gama was a more flexible “home computer.” Our investigation focuses on how their designers projected, or “scripted,” possible forms of computer use, and who they imagined would be the users of these machines. We also compare both computers with the high-profile One Laptop Per Child project to demonstrate the wider relevance of our study and the usefulness of our investigative toolset to the intersection of design studies and science and technology studies.

1123-P: Pilot Study of Early Adoption of Automated Insulin Delivery in Under-Resourced Youth

Background: Disparities in glycemic outcomes and technology use in children with type 1 diabetes (T1D) from under-resourced backgrounds are well-documented. The feasibility of initiating automated insulin delivery (AID) soon after diagnosis of T1D is unknown in this population. This pilot study assessed the feasibility and acceptability of providing access to the Tandem Control-IQ Hybrid Closed-Loop (HCL) system to children with public insurance soon after diagnosis of T1D. Methods: Publicly insured child ren aged 6-17 years within 3 months of T1D diagnosis were eligible for the study. Participants were randomized 2:1 to HCL or control for 6 months. Continuous glucose monitoring data for both groups were collected at baseline, 3 months, and 6 months after enrollment. Caregivers and adolescents completed a closing survey on safety and user experience. Results: Seventeen participants were enrolled, 12 in the intervention group and 5 in the control group. The mean age was 11.5 ±2.5 years, 47% were female, 88% were from underrepresented racial or ethnic groups, 94% of caregivers did not have a college level degree, and 41% of families reported some degree of food insecurity. All families had access to smartphones, but 42% did not have access to a home computer. Of those who completed the study, a larger proportion of the intervention group compared to the control group achieved ADA benchmark of greater than 70% time in range (62% vs 0%, respectively, at 3 months, p=0.038; 37% vs 0% at 6 months, p=0.16). All caregivers in the intervention group reported satisfaction with HCL system and wished to continue using HCL technology. Conclusion: Early initiation of AID is feasible and acceptable in youth with recently diagnosed T1D from historically marginalized racial and ethnic groups and with social risk factors associated with lower technology adoption and less optimal glycemic outcomes. Clinicians should provide education and support for AID to these families early in diagnosis to promote equity in diabetes care. Disclosure K.Yen: None. S.Belapurkar: Other Relationship; T1D Exchange, Research Support; Dexcom, Inc., Tandem Diabetes Care, Inc., Medtronic. J.G.Hickey: None. L.Yglecias: None. K.S.Bal: None. L.Carelli: None. C.M.Loucel: None. M.Lodish: None. J.C.Wong: Research Support; Dexcom, Inc., Tandem Diabetes Care, Inc.

A Multithreaded Algorithm for the Computation of Sample Entropy

Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples. However, for both approximate and sample entropy, the high computational cost is a severe limitation. Especially when large amounts of data are processed, or when parameter tuning is employed premising a large number of executions, the necessity of fast computation algorithms becomes urgent. In the past, our research team proposed fast algorithms for sample, approximate and bubble entropy. In the general case, the bucket-assisted algorithm was the one presenting the lowest execution times. In this paper, we exploit the opportunities given by the multithreading technology to further reduce the computation time. Without special requirements in hardware, since today even our cost-effective home computers support multithreading, the computation of entropy definitions can be significantly accelerated. The aim of this paper is threefold: (a) to extend the bucket-assisted algorithm for multithreaded processors, (b) to present updated execution times for the bucket-assisted algorithm since the achievements in hardware and compiler technology affect both execution times and gain, and (c) to provide a Python library which wraps fast C implementations capable of running in parallel on multithreaded processors.