Computer-based Program Research Articles

Computerized cognitive games versus cognitive exergame: the comparison of motor and cognitive functions enhancement in the elderly

BackgroundConsidering the importance of cognitive and motor functions of the elderly people, the present study was conducted to evaluate the effectiveness of a cognitive exergame, called Neurolight compared to computerized cognitive games, in enhancing core executive functions and motor performance.MethodsA total of 36 individuals in the age range of 60 to 69 years were studied in the form of three groups: The control group continued their daily activities, while the Neurolight group underwent a cognitive-motor training and the Maghzineh performed a computer-based cognitive training program for 24 sessions. Before and after interventions, working memory, inhibitory control, and balance were measured respectively by the N-back, Stroop, and TUG tests.ResultsThe results showed that cognitive-motor exercises using Neurolight, for 24 sessions, were able to significantly improve working memory, inhibitory control, and balance in individuals in this age group.ConclusionThis finding supports the other studies suggesting combined cognitive and physical exercises for better effect. Based on its findings, the use of this exercise system can be suggested to coaches and therapists working with the elderly.

Validity of facial skin analysis pore detection: A comparative analysis.

Reliable, objective measures to assess facial characteristics would aid in the assessment of many dermatological treatments. Previous work utilized an iOS application-based artificial intelligence (AI) tool compared to the "gold standard" computer-based and a physician assessment on five skin metrics (British Journal of Dermatology, 2013, 169, 474). The AI tool had superior agreement for all skin metrics except pores and subsequently underwent an algorithm update for its pore detection system. This comparative analysis assessed the performance of the updated AI tool's pore scores across all Fitzpatrick skin phototypes to determine whether the AI tool more accurately represents a dermatologist's assessment of pores. Frontal facing photographs in uniform lighting conditions were taken of each participant. Percentile scores were generated by each of the four self-learning models of the updated AI tool. The pore percentile scores generated by the original and updated AI tool were used to rate "worse" pores among participant pairs. These ratings were compared to pore assessments performed by a "gold-standard" device and a board-certified dermatologist. Compared to the original pore detection tool and the computer-based program, models A and D had the highest concordance with the physician's pore assessments for Fitzpatrick skin phototypes III-IV and V-VI, respectively. The AI tool's pores detection update was successful in its ability to accurately detect pores on all Fitzpatrick skin types, improving on the performance of the AI prior to the update. Responsibly developed AI tools that can accurately and reliably detect skin metrics across diverse Fitzpatrick skin types can facilitate dermatologic evaluation, individualize treatment, and determine treatment response.

Utility of deficit-specific computer-based training on children with temporal processing deficit.

Children with temporal processing deficits struggle to detect and discriminate syllables, phonemes, and stress patterns in speech. To overcome these deficits, computer-based auditory training programs have been widely used as one of the rehabilitation alternatives in recent years. The present study aimed to examine the usefulness of one such computer-based temporal processing training (CBTPT) module on children with temporal processing deficits. Sixteen children (8-15years) with temporal processing deficits were enrolled in the study, further divided into active (CBTPT) and placebo (placebo training) groups. Further, 8 typically developing children (no training) were enrolled as a comparison group. The auditory outcome measures included Duration Pattern Test (DPT), Gap Detection Test (GDT), Dichotic CV (DCV), and Speech-in-Noise-Indian English (SPIN-IE) assessed before and after training for all three groups. Wilcoxon-sign rank test showed a statically significant difference between pre and post-test scores of DPT, GDT, and SPIN (p < 0.001) except DCV among the active group. However, no significant differences were noted in the pre and post-test scores among the placebo and TD groups. Mann Whitney U test showed a significant difference in DPT and SPIN post-training scores between active and placebo groups; active and TD group; placebo and TD group. From the above finding, it is inferred that the CBTPT module is useful among children having temporal processing deficits.

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning.

Cognitive impairment and dementia pose a significant challenge to the aging population, impacting the well-being, quality of life, and autonomy of affected individuals. As the population ages, this will place enormous strain on health care and economic systems. While computerized cognitive training programs have demonstrated some promise in addressing cognitive decline, adherence to these interventions can be challenging. The objective of this study is to improve the accuracy of predicting adherence lapses to ultimately develop tailored adherence support systems to promote engagement with cognitive training among older adults. Data from 2 previously conducted cognitive training intervention studies were used to forecast adherence levels among older participants. Deep convolutional neural networks were used to leverage their feature learning capabilities and predict adherence patterns based on past behavior. Domain adaptation (DA) was used to address the challenge of limited training data for each participant, by using data from other participants with similar playing patterns. Time series data were converted into image format using Gramian angular fields, to facilitate clustering of participants during DA. To the best of our knowledge, this is the first effort to use DA techniques to predict older adults' daily adherence to cognitive training programs. Our results demonstrated the promise and potential of deep neural networks and DA for predicting adherence lapses. In all 3 studies, using 2 independent datasets, DA consistently produced the best accuracy values. Our findings highlight that deep learning and DA techniques can aid in the development of adherence support systems for computerized cognitive training, as well as for other interventions aimed at improving health, cognition, and well-being. These techniques can improve engagement and maximize the benefits of such interventions, ultimately enhancing the quality of life of individuals at risk for cognitive impairments. This research informs the development of more effective interventions, benefiting individuals and society by improving conditions associated with aging.

Enhancing executive functions in children: a comprehensive review of interventions via digital technologies and future directions

This review critically examines a broad spectrum of interventions aimed at bolstering executive functions (EFs) in children, a cornerstone for their academic, social, and cognitive development. We delve into a variety of EF enhancement strategies from June 2006 to March 2024, encompassing computer-based programs, physical exercises, classroom adjustments, and innovative technologies like virtual reality and educational robotics. Stressing the importance of parental involvement and positive teacher-student interactions, the review proposes an evidence-based approach tailored to individual needs, offering significant benefits particularly to children with or at risk for conditions such as ADHD and ASD. The synthesis underscores the imperative of collaborative initiatives among educators, policymakers, and families for fostering inclusive educational practices that nurture holistic EF development. The review sets forth the need for future research to embark on longitudinal studies and explore novel technologies, aiming to refine evidence-based educational strategies and enhance the cognitive and emotional well-being of children globally.

A Typology of Teachers’ Self-reported Use of Student Data from Computer-Based Assessment Programmes in Secondary Education

Teachers in secondary education have to deal with a growing diversity in student population, which asks for differentiation of their teaching. Computer-based assessments (CBA’s) are educational software tools that, for a particular school subject, allow students to practice their knowledge or skills, leading to results about students’ performance or ability level at that point in time. Information derived from CBA’s (known as learning analytics) has the potential to support teachers to differentiate by informing them of each student’s current level. In this study, our aim was to provide a typology of how and why teachers in secondary education use analytics, with the subsequent aim of providing recommendations for teacher professional development. Four profiles were found: high users, selective users, early stage users, and non-users. We provide recommendations for each of these profiles.

The use of a computer-based program focused on the syllabic method to support early literacy in children with cochlear implants

BackgroundChildren with cochlear implants (CIs) often lag behind children with normal hearing (NH) in early literacy skills. Furthermore, the development of language skills associated with their emergent literacy skills seems to depend on good auditory access. Supporting language acquisition and early literacy in children with CIs may prevent difficulties in primary school. The use of technology may facilitate auditory and speech recovery in children with CIs, but evidence on computer-based early literacy programs is limited. ObjectiveThis study investigates (a) the effects of a computer-based program focusing on the syllabic method on the literacy skills of children with CIs (CIs group), comparing them with the literacy skills of a group of age-matched NH (normal hearing) peers (NHs group); (b) the associations between language and early literacy skills in the NHs group and between language, auditory and early literacy skills in the CIs group. MethodNine prelingually deaf children with CIs (M = 61.11, SD = 6.90) with severe to profound sensorineural hearing loss and nine age-matched NH children participated in the program. Categories of Auditory Performance (CAP) as measures of children's auditory skills were collected. All participants were tested on phonological, morphosyntax (grammatical comprehension and repetition), and early literacy skills (syllable blending and segmentation, syllable and word reading) (T1). Next, all children participated in the computer-based program for 12 weeks. After the program was completed (T2), only early literacy tests were administered to the children. ResultsAlthough, on average, both groups obtained higher scores in all literacy tasks at T2, the CIs group scored lower than the NHs group. In the CIs group, at T2 we found significant improvements in syllable segmentation (p = 0.042) and word reading (p = 0.035). In the NHs group, at T2 we found significant improvements in syllable segmentation (p = 0.034), syllable blending (p = 0.022), syllable reading (p = 0.008), and word reading (p = 0.009). We also found significant associations in both groups between measures of morphosyntax at T1 and measures of early literacy at T2. In addition, for the CIs group, we found significant associations between children's auditory performance at T1 and measures of morphosyntax at T1 and early literacy at T2. Conclusiona computer-based program focused on the syllabic method could support children with CIs in acquiring emergent literacy abilities. The auditory performance of children with CIs seems to influence their morphosyntax and later early literacy skills.

PENGARUH LEVERAGE, LIKUIDITAS, PERTUMBUHAN, UMUR PERUSAHAAN, DAN UKURAN PERUSAHAAN TERHADAP KINERJA PERUSAHAAN

The purpose of this study is to determine the effect of leverage, liquidity, growth, firm age, and firm size on firm performance in family manufacturing companies listed on Indonesia Stock Exchange (IDX) during 2018-2020 period. This study used 48 data from family manufacturing companies which has been selected with purposive sampling method with the total of 144 data from the 2018-2020 period. Data is processed using computer-based program Eviews version 12. Multiple linear regression analysis is used in this study. The results of this study indicate that leverage has a positive and significant effect on firm performance. Liquidity has a positive and not significant effect on firm performance. Growth has a positive and significant effect on firm performance. Firm age has a positive and not significant effect on firm performance. Firm size has a positive and not significant effect on firm performance. The implication in this study is that companies need to observe the debt level that they have, good utilization of assets and expenses will increase the profit earned by the company and this will improve the company’s performance.

Comprehensive Survey of Computer-Based Programs Impact on Adolescent Mental Health: Focusing on Depression and Anxiety

With computer-based programs, teen mental health, especially when it comes to sadness and worry, has become a major public health issue. This thorough study looks at the effects of these kinds of programs on teens, trying to figure out how well they work and what problems they might cause. In the first part, we look at previous research that has been done on how common sadness and anxiety are among teens. We also talk about how digital tools are becoming more important for mental health treatments. Key methods used to evaluate these programs, like randomized controlled trials and continuous studies, are looked at to get a full picture of how well they work. The next part talks about the different kinds of computer-based treatments that are out there, such as cognitive-behavioral therapy (CBT) apps, awareness programs, and virtual reality treatments. The exact ways each type of strategy works and the ideas behind them are talked about in terms of how they affect symptom decrease and mental health in general. The third part gives important information about the problems and restrictions of computer-based solutions. Things like obedience rates, privacy issues, and the digital gap are looked at to show what might get in the way of broad use and success. Finally, suggestions are made for future study and clinical practice, with a focus on how important it is to have strict evaluation methods and specific management strategies that are matched to the growth stages and cultural backgrounds of teens. As more people talk about how to use digital tools in mental health care, this poll adds to the conversation. It supports methods that are based on evidence and put both effectiveness and ethics first.

Effects of Immersive Straight Catheterization Virtual Reality Simulation on Skills, Confidence, and Flow State in Nursing Students.

Core nursing procedures are essential for nursing students to master because of their high frequency in nursing practice. However, the experience of performing procedures in actual hospital settings decreased during the coronavirus disease 2019 pandemic, necessitating the development of various contents to supplement procedural training. This study investigated the effects of a straight catheterization program utilizing an immersive virtual reality simulation on nursing students' procedural performance, self-confidence, and immersion. The study employed a nonequivalent control group pretest-posttest design with 29 participants in the experimental group and 25 in the control group. The experimental group received training through a computer-based immersive virtual reality program installed in a virtual reality hospital, with three weekly sessions over 3 weeks. The control group underwent straight catheterization using manikin models. The research findings validated that virtual reality-based straight catheterization education significantly improved students' procedural skills, self-confidence, and flow state. Therefore, limited practical training can be effectively supplemented by immersive virtual reality programs.

DEVELOPMENT OF A COMPUTER-BASED EDUCATIONAL PROGRAM ON THE SUBJECT "FUNDAMENTALS OF COMPUTER MODELING"

In the conditions of technological progress and rapid development of information technologies, it is very challenging to prepare specialists in the field of information and communication technologies who would fully possess the knowledge and skills to work with the diverse range of instrumental and software tools and equipment used in the field. This is due to the continuous improvement and updating of programming languages, frameworks, software environments, shells, and hardware. One of the ways to address this issue is through computer-based educational programs, allowing the individualization of the learning process while preserving it’s quality. Currently, there is a large number of computer-based educational programs used in the study of various disciplines. This paper presents the design of a computer-based educational program on the subject "Fundamentals of Computer Modeling," which enables the modeling of random patterns of various natures, ranging from random events to random streams. The educational program consists of three modules, which include a theoretical part on methods of modeling random patterns, testing after each topic, and a calculator for all modeling methods. In each modeling method, you can input any initial data, such as the number of trials, probabilities of events, functions, and parameters of distribution laws. The results of modeling random patterns can be saved as a file. The program interface is available in three languages: Russian, English, and Kazakh. The currently developing educational program aims to improve the learning process in the "Fundamentals of Computer Modeling" discipline and allows learners to study it independently without any interventions from a professor.

Retrospective Review and Analysis on Outcome of Cranioplasty: A Series of 38 Cases

Background: Cranioplasty (CP) is a straightforward procedure, it may result in a significant number of complications. These include infections, seizures, intracranial hematomas, and others. Objective: This was a retrospective study on outcome of Cranioplasty. Materials and Methods: This retrospective study included patients who underwent decompressive craniectomy due to traumatic brain injury with raised ICP, acute subdural hematoma, compound comminuted skull fracture &amp; ICH, between January January 2019 to December 2020 at Enam Medical College &amp; Hospital, Savar, Dhaka. Data were collected in pre-designed data collection sheet and were analyzed using computerbased programme statistical package for social science (SPSS) windows version 25. Results: This study showed maximum patients (34.2%) were between 21-30 years age. Majority were male (89.5%) and only 5.9% were female. Overall rate of complications was 10.5%. Among them new onset seizure (n = 4), indrawing of skin through bone gap (n=4), hemorrhage (n=2), infection (n = 1), HCP (n = 1), and exposed implant (n=1). Conclusion: We have found the outcome of cranioplasty was better with titanium mesh plate and screw than conventional fixation of bone with polyglactin, polypropylene suture and titanium miniplate and screw. With polypropylene and polyglactin there is more chance of inward displacement of bone fragment and with miniplate and screw there is still chance of indrawing of bone fragment through the bone gap. Bang. J Neurosurgery 2023; 13(1): 20-23

Current practices and opinions on auditory training in adult cochlear implant recipients

ObjectiveTo examine current practices and opinions of cochlear implant (CI) providers with respect to post-implantation auditory training. MethodsA survey was submitted to the American Cochlear Implant Alliance membership that reviewed current practice and opinions with respect to post-implantation auditory training for adult CI recipients. Main outcome measuresReview of respondent practice, center volume, role on CI team, and current usage and opinions surrounding auditory training, including resources used and schedule of use. ResultsMost (79 %) of the 79 CI providers surveyed reported working at academic centers, 34 % at high-volume centers (>150 CIs/year), and 38 % were surgeons. Nearly all (99 %) respondents recommend auditory training for new adult CI recipients. Just over half (52 %) provide auditory training resources to the patient in the form of a broad list of patient-directed exercises from which a patient could select. A specific training resource, generally a computer-based auditory training program (e.g., AngelSound™), is recommended to patients by 30 % of the respondents.Regarding timing of rehabilitation, median preferred start time was 0 months (interquartile range [IQR] 0–1) post-activation. Sessions were preferably performed for a median of 3 h per week (IQR 2–4) and continued for a median of 12 months (IQR 6–12).Recommendations for auditory training were fairly consistent between surgeon and non-surgeon providers and by center volume. Non-surgeons more often had specific recommendations on training resources, benefits of music, and training condition (e.g., contralateral ear plugged). ConclusionsDespite a lack of clinical guidelines for adult post-implantation auditory training, a cross-sectional survey of providers' current practices and opinions demonstrates that these services are widely recommended and regarded as valuable. Training is almost universally patient-directed and believed to be most beneficial if started soon after activation. Interestingly, specific recommendations for which training approaches to use are not common, suggesting a gap in provider knowledge of which resources are most efficacious.

Habitual consumption of anthocyanin is associated with improvements in mood and cognitive performance in older people with memory complaints

The role of flavonoids on cognitive performance in older adults has been intensively studied, with the subclass of anthocyanins showing promising outcomes(1). However, there is conflicting evidence in the case of individuals at high risk of developing dementia, namely those with mild cognitive impairment (MCI). A recent study has suggested that cognitive scores in people with MCI were higher in those who had higher anthocyanin intake (&gt;10 mg)(2). Baseline data from 65 participants of an ongoing clinical trial that had an MIS (Memory Index Score) score ≤ 13 with self-reported subjective memory complaints, (mean age 69.1y ± 6.2) were used to investigate the relationship between dietary anthocyanin intake and indices of mood and cognitive performance. Repeated 24-hour dietary intake was recorded through Intake24 (a computer-based program) for three days (2Xweekday and 1Xweekend day) and anthocyanin intake was quantified using the PhenolExplorer food composition database. The primary outcome of interest was the Buschke and Grober Free and Cued Selective Reminding Test-Immediate Recall (FCSRT+IR) (assesses auditory anterograde memory functioning), while other cognitive functions assessed included: Spot the Word-2 (assessing premorbid estimate); Oral Symbol Digit Test (speed of processing); List Sorting (working memory); Trail Making Test A &amp; B (speed of processing/executive function); and Verbal Fluency (language/semantic memory). Subjective memory complaints were assessed using the Memory Assessment Clinic-Q (MAC-Q) and mood was assessed using the Geriatric Depression Scale (GDS). Independent t-tests were used to compare differences in cognitive tasks and mood scores between high (&gt;10 mg/d) and low consumers of anthocyanins (&lt;10 mg/d). There was a trend for high anthocyanin consumers (n = 35, median = 44.87 (10.01, 177.83)) to score better on FCSRT-Delayed Free Recall scores (16.57 ± 3.74) compared to lower consumers (n = 30, median = 0.01 (0, 9.51)), (15.97 ± 0.18) with a mean difference (SE) of −1.06 (0.58) (p = 0.06) suggesting recall of 1.06 more words after a 20-30 minute delay. Higher consumers had a lower GDS score (1.77 ± 3.73) compared to lower consumers (3.73 ± 1.77), p = 0.01. Spot the word test scores (assesses premorbid verbal abilities using a robust lexical decision task) were higher for high anthocyanin consumers (53.06 ± 4.38) compared to lower consumers (50.40 ± 4.38), mean difference (SE) = −2.66 (1.10), p = 0.01, meaning participants with higher intake of dietary anthocyanin were able to point at 2.7 more real words than low consumers. Dietary consumption of anthocyanin in older adults with MIS is associated with beneficial effects on depressive scores and the ability to retrieve words. Further research is warranted to identify optimal dosage for recommended intake. This cross-sectional study used baseline data from a randomised controlled trial registered with the Australian New Zealand Clinical Trials Registry (ANZCTR):12622000065796.

Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Café in younger and older adults

BackgroundExisting traditional cognitive screening tools for dementia have various limitations, including overreliance on tests assessing verbal memory and, to a lesser extent, on some aspects of executive functioning. Comprehensive neuropsychological assessment is sensitive to impairment but time-intensive and expensive. Virtual reality may provide a dynamic and unique understanding of cognitive performance and increase the ecological validity of cognitive assessment. The use of virtual reality in screening for cognitive function in older persons is promising, but evidence for its use remains sparse.ObjectiveOur primary aim was to examine the feasibility and acceptability of a newly developed, virtual reality assessment module, ‘Leaf Café’, a computer-based program that assesses cognition in an engaging, efficient, and ecologically relevant way. The secondary aim was to assess the ability of the module to discriminate between performances of younger and older adults.MethodsA cross-sectional study was carried out in Sydney, Australia, targeting adults aged 18 years and above. Participants completed a traditional cognitive screening tool (Telephone Interview for Cognitive Status-Modified, TICS-M) and Leaf Café, a low-immersive virtual reality module designed to evaluate learning and memory, perceptual-motor function, and executive functioning. The total performance score for each participant, ranging from 0 to 180, was correlated with their cognitive performance assessed by TICS-M, using Pearson’s correlation coefficient. Following module completion, participants were presented with an open and closed-question survey to capture their perceptions, attitudes, and feedback on the module, encompassing practicality, acceptability, and enjoyment. Both descriptive and content analyses were employed to interpret the obtained data.ResultsA sample of 131 participants (mean age 54.9 years, SD = 20.8, range 20–85) took part. The majority were female (71.8%) and born in an English-speaking country (75.8%). The mean amount of time spent in the module was 32.8 min (SD = 13.3) with a mean module score of 107.6 (SD = 38.7). Most participants completed the highest level (5; 80.5%). There was a significant correlation between Leaf Café total scores with TICS-M cognitive scores overall, and for both younger (aged 18–64 years) and older adult (aged 65 + years) groups. No significant difference was found on performance between age groups on TICS-M performance, however, younger adults had significantly better performance on the Leaf Café module than older adults (M = 124.1 vs 95.9; p < .001). Participants had similar response proportions regarding user experience with most agreeing that the module was easy to use (84%) and to navigate (85%). Compared with younger adults, older adults had lower rates of agreement on the module’s design (36.8% vs 64.3%; p = .020) and support experienced (20.5% vs 53.6%; p = .007). Participants highlighted the significance of practicality and the cognitive challenges presented by the module, in terms of memory strain and user interface concerns. Feedback encompassed different opinions on the usefulness of music, with suggestions for improvements centred around clearer instructions, varied game dynamics, and considerations for diverse user needs.ConclusionsLeaf Café is a feasible and acceptable tool to be used for screening for cognitive impairment in older adults and has real-world assessment value. Further verification on the game’s utility in detecting cognitive impairment is required.

Breaking Sound Barriers: Cultivating Expressive Language in Children with Hearing Impairment Through a Computer-Based Intervention Program

The aim of this study was to assess the effectiveness of a linguistic educational program in improving expressive language skills among individuals with mild hearing impairment in the UAE. To achieve this goal, the researchers designed a computer-based program that targeted expressive language abilities in children with language disorders. The study recruited 30 children who were randomly assigned to either an experimental group, who received the computer-based program, or a control group, who underwent traditional training methods at centers. After conducting an analysis of covariance (ANCOVA), the data showed that the experimental group exhibited noteworthy enhancements in expressive language skills compared to the control group. Moreover, the statistical analysis unveiled that the academic level (grade) had a significant influence on the results, with the third level demonstrating the most substantial progress. However, gender did not appear to have any impact on the findings. Ultimately, the results were thoroughly reviewed and deliberated, culminating in the formulation of a set of recommendations.

Digital interventions for healthy ageing and cognitive health in older adults: a systematic review of mixed method studies and meta-analysis

BackgroundCurrently, there is no systematic review to investigate the effectiveness of digital interventions for healthy ageing and cognitive health of older adults. This study aimed to conduct a systematic review to evaluate the effectiveness of digital intervention studies for facilitating healthy ageing and cognitive health and further identify the considerations of its application to older adults.MethodsA systematic review and meta-analysis of literature were conducted across CINAHL, Medline, ProQuest, Cochrane, Scopus, and PubMed databases following the PRISMA guideline. All included studies were appraised using the Mixed Methods Appraisal Tool Checklist by independent reviewers. Meta-analyses were performed using JBI SUMARI software to compare quantitative studies. Thematic analyses were used for qualitative studies and synthesised into the emerging themes.ResultsThirteen studies were included. Quantitative results showed no statistically significant pooled effect between health knowledge and healthy behaviour (I2 =76, p=0.436, 95% CI [-0.32,0.74]), and between cardiovascular-related health risks and care dependency I2=0, p=0.426, 95% CI [0.90,1.29]). However, a statistically significant cognitive function preservation was found in older adults who had long-term use of laptop/cellphone devices and had engaged in the computer-based physical activity program (I2=0, p<0.001, 95% CI [0.01, 0.21]). Qualitative themes for the considerations of digital application to older adults were digital engagement, communication, independence, human connection, privacy, and cost.ConclusionsDigital interventions used in older adults to facilitate healthy ageing were not always effective. Health knowledge improvement does not necessarily result in health risk reduction in that knowledge translation is key. Factors influencing knowledge translation (i.e., digital engagement, human coaching etc) were identified to determine the intervention effects. However, using digital devices appeared beneficial to maintain older adults’ cognitive functions in the longer term. Therefore, the review findings suggest that the expanded meaning of a person-centred concept (i.e., from social, environmental, and healthcare system aspects) should be pursued in future practice. Privacy and cost concerns of technologies need ongoing scrutiny from policy bodies. Future research looking into the respective health benefits can provide more understanding of the current digital intervention applied to older adults.Study registrationPROSPERO record ID: CRD42023400707 https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=400707.

Multiuser Based Savings And Loans Information System

The increasingly rapid development of computer technology provides convenience for humans in carrying out life activities, this has resulted in the use of computers being an alternative taken by various agencies because it is considered to provide more advantages than disadvantages. Computers are tools to improve performance in various fields. In solving data processing problems at the KSU " DANA MANDIRI " Cooperative, based on the survey carried out, the author tried to change the manual or conventional data processing program into a computer-based data processing program, namely by using the Visual Foxpro 9.0 program. This change aims to provide comfort for operators in carrying out their work. With old programs, conventionally inputting data still takes a long time and when searching for data you still have to look for codes one by one because it cannot be done automatically. With these problems the author tries to formulate the problem, namely "How to make a data processing program to save borrow at KSU " DANA MANDIRI " using the Visual Foxpro 9.0 programming language. The savings and loan data processing process can be accessed quickly and precisely and provides a more attractive appearance. In solving this problem the author tried to collect data related to savings and loan data. In designing a new system, several stages are carried out including data design. Table creation, ERD creation, DFD and normalization. In processing the savings and loan data, it is hoped that it can help with problems that arise at the KSU " DANA MANDIRI " Cooperative and the program created of course still has several weaknesses and shortcomings, this is possible because the author still has little knowledge and experience in programming issues. Suggestions and criticism really help the author to further develop knowledge in this field.

The effect of CLOSER-computer-based exercise program in older adults with a history of falls: a pilot study

ABSTRACT CLOSER is a computer-based exercise program that aims to improve older adults’ health, fitness and social lives. This pilot study aimed to examine the effect of CLOSER, the first computer-based exercise program developed for older adults on a national scale, on those with a history of falls. Forty-eight older adults (71.33 ± 7.47) with a history of falling at least once in the last year were included in the study. Older adults performed CLOSER exercises for (balance maintenance, neck rotation, rhythmic walking, knee flexion and trunk rotation) 2 sessions per week for eight weeks. All individuals were evaluated at baseline and the end of the eighth week. The primary outcome measures were the 30-s Chair-Stand Test (p = 0.002), the Berg Balance Scale (p = 0.002), the Falls Efficacy Scale International (p = 0.003), the Timed Up and Go Test (p = 0.008) and the motivation level (p = 0.007) statistically significant improvements were observed. The results show that a CLOSER-computer-based exercise program effectively increases balance and reduces the risk and fear of falling. In the future, CLOSER could significantly contribute to the healthcare system as an alternative aid for home-based exercise.

Climate Change Prediction in the North–Eastern Area of Bangladesh: A Downscale Modeling Approach

Climate change can significantly impact regional hydrology and human and animal lives. To develop accurate projections of climate change, hydrological models rely on reliable meteorological variables. Generally, a climate model is a computer-based mathematical program based on physics, fluid motion, thermodynamics, and chemistry equations that are used to develop future projections. This paper uses statistical downscale modeling (SDSM) to predict climate change in Bangladesh's northeastern region using rainfall and temperature data from 2001–2015. The study uses data from Dhaka, Mymenshing, Sylhet, Comilla, and Srimangal as a baseline for 2025, 2045, and 2065 climate changes. The study result indicates that Comilla experienced a 340.253 mm increase in maximum rainfall in 2065, while Srimangal experienced a 32.775 mm decrease in 2045. Dhaka experiences the highest mean annual temperature increase of 1.7426°C in 2065 and the lowest mean annual temperature increase of 1.6581°C, respectively. These maximum and minimum temperature characteristics impacting climatic degradation are found in 2065, indicating a potential threat to modern civilization compared to 2025 and 2045.