Completion Time Research Articles

Integration of cognitive-motor dual-task training in physical sessions of highly-skilled basketball players

ABSTRACT We investigated the effects of a cognitive-motor dual-task training (CMDT) integrated into a physical training circuit. Specific tests on sprint, agility, and cognitive processes associated with anticipatory event-related potential (ERP) components and behavioural performance during a cognitive discrimination response task (DRT) were evaluated before and after the intervention. Thirty skilled basketball players were recruited and divided into an experimental group executing the “physical CMDT” and a control group performing standard physical training. The CMDT session was performed by four athletes simultaneously who executed different circuits. One circuit was the CMDT, implemented with interactive devices thus engaging strong motor control, preparedness, and quick decision-making during task performance. Results on physical performance showed that only the experimental group improved in completion time on sprint (5.83%) and agility (3.55%) tests. At the brain level, we found that in the DRT the motor anticipation increased by over 50%, and the response time became 10% faster. Instead, regarding cognitive preparation, both protocols were equally effective and response accuracy parallelly increased in the post-test. In conclusion, the proposed “physical CMDT” integrated into a group session, can improve sprint and agility and the neural correlate of this effect is the increase of motor preparation in the premotor cortex in only five weeks.

A Consortium Blockchain-Based Edge Task Offloading Method for Connected Autonomous Vehicles

In recent years, the proliferation of Connected Autonomous Vehicles(CAV) has revolutionizing the transportation industry. However, these vehicles often face limitations in terms of local computing resources, leading to the need for offloading interactive-intensive application tasks to servers for processing. Traditional paradigm has its limitations in meeting the demands of massive task processing. The combination of Web3.0 and edge computing offers users high-reliable, low-latency, and highly flexible services. Nevertheless, the new paradigm also presents its own challenges such as ensuring privacy data protection, and reducing the time and energy costs associated with task offloading. To tackle these challenges, a edge task offloading framework based on consortium blockchain for CAVs has been developed. Within this framework, a consortium blockchain-based interaction-intensive task offloading method, called CBIToMe, has been designed. CBIToMe specifically addresses the multi-stage nature of interactive-intensive CAV tasks and aims to minimize task completion time and offloading costs, particularly when the waiting time for interaction is uncertain. Additionally, CBIToMe effectively utilizes consortium blockchain technology to safeguard the CAV privacy data. Results from experiments conducted in various scenarios demonstrate that CBIToMe outperforms three representative methods, showcasing its superior performance.

Performance improvement of a U-tube heat exchanger based hydrogen storage reactor by phase change materials

Solid-state hydrogen storage technology using metal hydrides as carriers has great application prospects. This study aims to optimize the heat transfer resistance and absorption kinetics issues encountered in practical applications of LaNi5-H2 storage materials in storage reactors. A mathematical model for the hydrogen absorption process in the reactors based on U-tube and straight-tube heat exchangers was built, and the advantages of U-tube structure and the flow characteristics of the heat transfer fluid on its heat transfer and absorption performance were analyzed. To further enhance the U-tube based reactor's performance, phase change materials (PCM) were subsequently introduced as an auxiliary heat transfer medium, while the amount of PCM and the thermal conductivity of the reaction bed were optimized. The results showed that the appropriate PCM dosage could overcome the inherent defects of the U-tube heat exchanger and significantly improve heat dissipation and reaction rates of the reactor, and the H2 absorption completion time was shortened by 1.4 times. In addition, the increased thermal conductivity of reaction beds is equally important for the enhancement of heat transfer and absorption rate. Nevertheless, further increase of PCM's thermal conductivity has a limited effect on the improvement of the performance.

LEAN Methodology to Improve Endoscopy Unit Efficiency in a Multi-subspecialty Ambulatory Surgery Center: A Pilot Study.

Background and objective Efforts to improve gastrointestinal (GI) endoscopy unit efficiency may lead to increases in colon cancer screening volumes. LEAN management principles applied to GI endoscopy unit practices may serve as a novel foundation for efficiency improvements.We conducted apilot study in an outpatient, hospital-based GI endoscopy unit with the goal of improving endoscopy efficiency by using LEAN principles Methodology A single endoscopist and anesthesiologist along with the nursing care team implemented changes to their practice based on LEAN principles. Efficiency metrics were tracked before these changes and after to assess for improvements. Results We observed statistically significant improvements in waiting room time (13.1 minutes vs. 25.6 minutes, p<0.001), recovery room duration (55.5 minutes vs. 61.8 minutes, p=0.01), total facility time (172.5 minutes vs. 196.1 minutes, p<0.001), and true completion time (19.7 minutes vs. 32.3 minutes, p=0.002) after the implementation of LEAN interventions. Conclusions A systematic and standardized approach using LEAN methodology canimprove GI endoscopy unit operational efficiency. Larger studies are needed to validate our findings and generalize the results to the field broadly.

A probabilistic prediction model based on stacking ensemble learning for completion time in flexible shop-floor

A probabilistic prediction model based on stacking ensemble learning for completion time in flexible shop-floor

Museum-archived myctophids reveal decadal trends in microplastic and microfiber ingestion

Global plastic production has surged since the 1960s, resulting in the pervasive presence of microplastics in the environment, yet there is a substantial gap in understanding historical trends of plastic pollution in wildlife. Recent discoveries of significant microplastic contamination in fishes have sparked considerable contemporary advancements in analytical methods and hold the potential to fill gaps in historical trends. We measured the presence of microplastics in museum-archived myctophids (Stenobrachius leucopsarus, Diaphus theta, and Tarletonbeania crenularis) collected from 1962 to 2016, to determine if trends in contamination levels over time correspond with the rise in plastics production. Seventy particles were extracted from 57 of the 240 individuals (23.8 % average occurrence across the time series) consisting of primarily blue and black microfibers. Anthropogenically modified cellulose was the dominant material (87 %) identified through μFTIR analysis, with polypropylene and polyethylene particles occurring secondarily. Although the complete time series across a broad geographical range of the North Pacific did not reveal a significant temporal trend, myctophids collected in proximity to the U.S. west coast showed a trend towards increasing incidence of microplastic and microfiber ingestion over time (p ≤ 0.05). Using historical samples of species with higher ingestion levels and consistent collection locations would improve the reliability of future investigations.

Mosquito repellent propensity of hexane extract of &lt;i&gt;Cymbopogon citratus&lt;/i&gt; Stapf. (Poaceae), lemongrass, cream and emulgel formulations

Malaria is a global threat affecting majorly the African continent with Nigeria having the highest burden of deaths from the disease. Prophylactic measures in addition to curative treatments are strategies used for eradication of malaria. This study aims to develop topical mosquito repellent from lemongrass (Cymbopogon citratus). Lemongrass extract was obtained by Soxhlet extraction using n-hexane, it was formulated as lemongrass extract cream (LGCM) and emugel (LGEM) at 1 and 2% w/w concentrations. Organoleptic properties, spreadability, pH and skin irritation test were evaluated. Percentage mosquito repellency (R) and complete protection time (CPT) assay using the animal (rodent) model were determined and compared with N, N-diethyl-meta-toluamide (DEET). Results showed all the formulations were non-gritty, homogenous, relatively stable upon storage for 30 days at room temperature except forLGCM 1. They were non-irritant to the skin; pH was in range of 5.3 – 8. Spreadability was optimum with LGCM, LGEM 1 and 2% w/w. Mosquito repellency was concentration dependent and ˃ 80% in LGCM 2 and LGEM 2 but emulgels exhibited better repellency. CPT was 4, 5 and 8h for LGCM 2, LGEM 2 and DEET respectively. This study shows that LGEM 2% may be considered as an efficient topical mosquito-repelling formulation.

Comparison of distance versus in-person laparoscopy training using a low-cost laparoscopy simulator—a randomized controlled multi-center trial

IntroductionSimulation training programs are essential for novice surgeons to acquire basic experience to master laparoscopic skills. However, current state-of-the-art laparoscopy simulators are still expensive, limiting the accessibility to practical training lessons. Furthermore, training is time intensive and requires extensive spatial capacity, limiting its availability to surgeons. New laparoscopic simulators offer a cost-effective alternative, which can be used to train in a digital environment, allowing flexible, digital and personalized laparoscopic training. This study investigates if training on low-cost simulators in a digital environment is comparable to in-person training formats.Materials and methodsFrom June 2023 to December 2023, 40 laparoscopic novices participated in this multi-center, prospective randomized controlled trial. All participants were randomized to either the ‟distance” (intervention) or the “in-person” (control) group. They were trained in a standardized laparoscopic training curriculum to reach a predefined level of proficiency. After completing the curriculum, participants performed four different laparoscopic tasks on the ForceSense system. Primary endpoints were overall task errors, the overall time for completion of the tasks, and force parameters.ResultsIn total, 40 laparoscopic novices completed digital or in-person training. Digital training showed no significant differences in developing basic laparoscopic skills compared to in-person training. There were no significant differences in median overall errors between both training groups for all exercises combined (intervention 3 vs. control 4; p value = 0.74). In contrast, the overall task completion time was significantly lower for the group trained digitally (intervention 827.92 s vs. control 993.42; p value = 0.015). The applied forces during the final assessment showed no significant differences between both groups for all exercises. Overall, over 90% of the participants rated the training as good or very good.ConclusionOur study shows that students that underwent digital laparoscopic training completed tasks with a similar number of errors but in a shorter time than students that underwent in-person training. Nevertheless, the best strategies to implement such digital training options need to be evaluated further to support surgeons’ personal preferences and expectations.

An improved intelligent optimization algorithm for small-batch order production scheduling

Although the critical path method (CPM) is effective for the integrated scheduling of small-batch orders, its overemphasis on vertical process relationships and neglect of horizontal parallel relationships have imposed limitations on scheduling, often leading to suboptimal outcomes in terms of the total product completion time. This study introduces an innovative algorithm designed to overcome these limitations and further optimize the total processing time of products. We propose a strategy of "exchanging adjacent processes on the same device", which operates based on the scheduling results of the CPM. By swapping adjacent and interchangeable processes within the constraints of the problem, this algorithm generates multiple new scheduling schemes, effectively expanding the solution space. This expansion enables the discovery of optimized solutions that leverage "horizontal parallel relationships", which is crucial for reducing the "total processing time of products". Finally, the effectiveness of the proposed algorithm is verified through experiments.

Augmented reality for point-of-care ultrasound-guided vascular access in pediatric patients using Microsoft HoloLens 2: a preliminary evaluation.

Conventional ultrasound-guided vascular access procedures are challenging due to the need for anatomical understanding, precise needle manipulation, and hand-eye coordination. Recently, augmented reality (AR)-based guidance has emerged as an aid to improve procedural efficiency and potential outcomes. However, its application in pediatric vascular access has not been comprehensively evaluated. We developed an AR ultrasound application, HoloUS, using the Microsoft HoloLens 2 to display live ultrasound images directly in the proceduralist's field of view. We presented our evaluation of the effect of using the Microsoft HoloLens 2 for point-of-care ultrasound (POCUS)-guided vascular access in 30 pediatric patients. A custom software module was developed on a tablet capable of capturing the moving ultrasound image from any ultrasound machine's screen. The captured image was compressed and sent to the HoloLens 2 via a hotspot without needing Internet access. On the HoloLens 2, we developed a custom software module to receive, decompress, and display the live ultrasound image. Hand gesture and voice command features were implemented for the user to reposition, resize, and change the gain and the contrast of the image. We evaluated 30 (15 successful control and 12 successful interventional) cases completed in a single-center, prospective, randomized study. The mean overall rendering latency and the rendering frame rate of the HoloUS application were 139.30ms and 30 frames per second, respectively. The average procedure completion time was 17.3% shorter using AR guidance. The numbers of puncture attempts and needle redirections were similar between the two groups, and the number of head adjustments was minimal in the interventional group. We presented our evaluation of the results from the first study using the Microsoft HoloLens 2 that investigates AR-based POCUS-guided vascular access in pediatric patients. Our evaluation confirmed clinical feasibility and potential improvement in procedural efficiency.

An effective two-stage heuristic for scheduling the distributed assembly flowshops with sequence dependent setup times

This paper studies the Distributed Assembly Permutation Flowshop Scheduling Problem with Sequence Dependent Setup Times (DAPFSP-SDST). The optimization objective is minimization of maximal completion time (makespan), and it is shown that minimizing the sum of Total Setup Times for Assembling Products (TSTAP) and Total Idle Times on Assembly Machine (TITAM) is equivalent to minimizing the makespan. Additionally, minimization of TSTAP and TITAM can be transformed into sequencing problems of products and jobs within critical products, respectively. We also find out that a product sequence essentially explores an area in the solution space, with solutions in the area having the same TSTAP but different TITAMs determined by Critical-Jobs-Sequences (CJSs). Based on the new findings, an effective Two-Stage Heuristic Algorithm (TSHA) is proposed to first obtain promising product sequences and then exploit the corresponding areas for the DAPFSP-SDST. At the first stage of TSHA, high-quality initial product sequences are obtained through a constructive method and two Neighborhood Descent for Product Sequence (NDPS) algorithms are presented for more potential searching areas. At the second stage, a Neighborhood Descent for CJS (NDCJS) is designed to find CJSs with TITAM as small as possible. Evaluations on a benchmark instance set show that TSHA achieves better performance compared to the existing meta-heuristic and hyper-heuristic algorithms on the DAPFSP-SDST. Another impressive advantage of the TSHA is its low computational cost, as it is a heuristic algorithm with some neighborhood search operators.

B - 99 Timely Matters: Processing Speed and Other Cognitive Corelates of Identi-Fi Accuracy and Time to Completion

Abstract Objective The Identi-Fi is a test of visuospatial organization with overall performance represented by the Visual Organization Index (VOI). Though untimed, the Professional Manual indicates administration takes ~10 minutes in the standardization sample. We examined Identi-Fi time of completion (TOC) in a mixed clinical sample and explored whether TOC and VOI are differentially associated with other neuropsychological measures. Method Participants were 240 adults referred for clinical neuropsychological evaluation, 78.3% being aged 60+ (M = 64.50 ± 12.38 years, range = 21–79), male (54.6%), with 14.80 ± 2.89 years of education (range = 7–21). They completed the Identi-Fi and other cognitive tests (WAIS-IV Block Design and Digit Span; Trail Making Test; Boston Naming Test; D-KEFS Color-Word Interference). Correlation and linear regression were used to examine relationships. Results Overall, VOI was low average (M = 85.61 ± 19.00, range = 40–125). TOC was slightly longer (M = 12.92 ± 6.04 minutes, range = 4.07–47.78) than reported in the manual. VOI was correlated with visuoconstruction, confrontation naming, attention, processing speed and executive functions (all p ≤ 0.001), as well as TOC (r = −0.195, p = 0.002) and education (r = 0.136, p = 0.035). TOC was corelated with age (r. = 384, p &amp;lt; 0.001), education (r = 0.141, p = 0.029), processing speed (TMT-A: r = −0.329, p &amp;lt; 0.001; CW1: r = −0.171, p = 0.014), cognitive flexibility (r = −0.230, p = 0.001), and response inhibition (r = −0.269, p &amp;lt; 0.001). TOC was predicted by processing speed (β = −4.986, p = 0.049) even after accounting for age and education. Conclusion TOC may be longer in clinical populations, though this may reflect the older age of this sample. Although time and accuracy on the Identi-Fi correlated with processing speed, accuracy was also associated with other cognitive abilities. Further research into the clinical utility of Identi-Fi TOC is warranted.

B - 137 Analyzing Completion Time on a Created Forced Choice Trial of the Hopkins Verbal Learning Test – Revised (HVLT-R) to Measure Engagement in a Mixed Clinical Sample

Abstract Objective We created a forced choice recognition trial (FCR) for the HVLT-R, including recording completion time (FCompT), to evaluate the utility of combining completion time with accuracy scores when using performance validity tests (PVTs). Method Participants included 29 clinically referred patients at a large medical center who completed the HVLT-R in addition to multiple free-standing and embedded PVTs including the TOMM, Word Choice Test (WCT), Reliable Digit Span (RDS), and the Dot Counting Test (DCT) as part of a larger battery of neuropsychological tests in an outpatient setting. Data from the sample (M age = 64.79, SD = 13.86; M education = 15.65, SD = 2.47; 62.1% females) were analyzed using correlation and linear regression. Results The HVLT-R FCR trial correlated with the TOMM-10, r(19) = 0.75, p = &amp;lt;0.001, TOMM trial 1, r(17) = 0.75, p = &amp;lt;0.01, the DCT r(12) = −0.71, p = &amp;lt;0.01, and the FCompT, r(29) = −0.72, p = &amp;lt;0.001. The FCompT was correlated with RDS, r(28) = −0.46, p = 0.03, TOMM-10, r(19) = −0.64, p = &amp;lt;0.01, and TOMM trial 1, r(17) = −0.61, p = &amp;lt;0.01. FCompT significantly predicted FCR accuracy b = −0.72, t(29) = −5.41, p &amp;lt; 0.001. Conclusions The HVLT-R FC and FCompT strongly correlated with free-standing and embedded PVTs. Data demonstrates that a longer completion time predicts poorer performance on FCR. Results demonstrate the value of measuring completion time for specific PVTs, in addition to providing support for the addition of a FCR trial to the HVLT-R.

"It's Different for Girls!" The Role of Anxiety, Physiological Arousal, and Subject Preferences in Primary School Children's Math and Mental Rotation Performance.

(1) Background: This study examines the role of subjective anxiety (mathematics and spatial anxiety), along with physiological responses, in mathematics or math and mental rotation performance in 131 German primary school students (65 girls, 66 boys; Mean age = 8.73 years). (2) Method: Students' preference for math vs. German and their subjective anxiety were assessed using standardized questionnaires. Emotional reactivity was measured using the Galvanic Skin Response (GSR). Math performance was evaluated via percentage scored and completion times on number line estimation, word problems, and missing terms tasks. Spatial skills were assessed using a novel mental rotation task (nMRT) incorporating gender-congruent and -neutral stimuli. (3) Results: Girls outperformed boys on percentage scored on the math task but took longer to complete this. No gender differences were found in performance on the nMRT. Girls demonstrated higher math anxiety and were less likely to prefer math over German. Math anxiety predicted math scores and accuracy on the nMRT while gender predicted math performance and mental rotation response time. Subject preference was associated with longer completion times and emotional reactivity with longer response times. Girls' preference for math and lower emotional reactivity was linked to shorter completion times, while lower math anxiety predicted higher scores. In contrast, these factors did not affect boys' math performance. Additionally, subjective anxiety, emotional reactivity, or subject preference did not impact spatial performance for either gender. (4) Conclusions: Supporting mathematical self-efficacy and emotional regulation, especially in girls, is crucial for enhancing STEM outcomes in primary education. Gender-fair assessment in mental rotation reveals equitable spatial performance and reduces the impact of anxiety.

Acceptability and timing considerations when administering patient-reported outcome measures (PROMs) among people with chronic health conditions who are culturally and linguistically diverse (CALD): a qualitative study protocol

IntroductionPatient-reported outcome measures (PROMs) are validated and standardised questionnaires that capture patients’ own reports of their symptoms, functioning and well-being. PROMs can facilitate communication between patients and clinicians, reduce symptom...

Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations

With the increasing level of agricultural automation, the combination of agriculture and intelligent vehicle technology is propelling the development of smart agriculture. Although this technology has already been applied widely for various agricultural production tasks, inefficient vehicle scheduling still hasn't been resolved satisfactorily. Oriented towards agricultural harvesting scenarios, a hybrid loading situation vehicle routing problem (HLSVRP) model is proposed to minimize total energy consumption and maximum completion time. A reconstructed multi-objective evolutionary algorithm based on decomposition (R-MOEA/D) is developed to solve the problem. Eight solution representations tailored specifically to the problem are introduced by R-MOEA/D, allowing an extensive exploration of the solution space. A modified Clarke & Wright (MCW) heuristic is designed to generate a high-quality initial population. A novel problem-specific parallel population updating mechanism based on the four crossover and two mutation combinations is also provided to improve the exploration ability. A collaborative search strategy is employed to facilitate cooperation among parallel populations. Finally, a series of comparative experiments conducted on various task scales and vehicle scales verify the effectiveness of the proposed algorithmic components and the exceptional performance for solving HLSVRP.

B - 120 Participant Satisfaction with Tele-Neuropsychology: the Framingham Heart Study

Abstract Objective Tele-neuropsychological assessments (tele-np) have grown in importance since the COVID-19 pandemic, allowing for ongoing surveillance of underserved remote participant populations when traditional in-person evaluations are not practical, convenient, or possible. However, literature addressing satisfaction and acceptance with tele-np is scarce. This study examines participants’ satisfaction with a unique tele-np protocol in a cohort-based epidemiological study, the Framingham Heart Study (FHS). Methods FHS participants who have completed a tele-np evaluation via HIPAA-compliant Zoom since 2021 were included. Tele-np participants completed the same protocol as in-person evaluations. Record forms and a digital pen to capture drawing tasks and Boston Process Approach variables are mailed with a return label to participants. Participants provided feedback on their experience on four, five-point Likert scale questions (1 = strongly negative, 5 = strongly positive). Results Sixty-three largely college-educated (87.30%) participants, with average age of 74.28 years (SD = 7.82), 47.62% female, representing 21 US states completed a tele-np visit. Average completion time was 78.74 minutes (SD = 10.78). 94.83% reported a positive overall experience (M = 4.47, SD = 0.71) with tele-np protocol. Participants reported positive experiences with the use of video conferencing (M = 4.33, SD = 0.73), shipping and test-related materials (M = 4.52, SD = 0.60), and clarity of instructions (M = 4.53, SD = 0.54). Conclusions Older adults positively relate to a tele-np protocol that allows for robust remote assessment of cognition. Tele-np is a feasible and acceptable mode for large scale neuropsychological data collection in older adults and can minimize attrition due to travel limitations. Continued study of participant feedback is imperative as tele-np is expanded to improve accessibility for underserved and diverse populations.

Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics

This study addresses energy-efficient multi-objective distributed assembly permutation flowshop scheduling problems with minimisation of maximum completion time, mean of earliness and tardiness, and total carbon emission simultaneously. A mathematical model is introduced to describe the concerned problems. Five meta-heuristics are employed and improved, including the artificial bee colony, genetic algorithms, particle swarm optimization, iterated greedy algorithms, and Jaya algorithms. To improve the quality of solutions, five critical path-based neighborhood structures are designed. Q-learning, a value-based reinforcement learning algorithm that learns an optimal strategy by repeatedly interacting with the environment, is embedded into meta-heuristics. The Q-learning guides algorithms intelligently select appropriate neighborhood structures in the iterative process. Then, two machine speed adjustment strategies are developed to further optimize the obtained solutions. Finally, extensive experimental results show that the Jaya algorithm with Q-learning has the best performance for solving the considered problems.

A multi-objective Immune Balancing Algorithm for Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling

Driven by economic globalization, global supply chain collaboration has gained significant importance, fostering the emergence of distributed manufacturing. This paper addresses the Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling (DHBIAHFS) problem within the pharmaceutical industry. Jobs are allocated to factories for processing, batched within defined lot sizes for transportation, and subsequently assembled into products to minimize the maximum completion time and tardy product count. Effective lot sizing during transport is emphasized between factories and assembly machines. Drawing inspiration from the biological immune system’s balancing mechanisms, we propose a Multi-objective Immune Balancing Algorithm (MOIBA) equipped with learning and repairing mechanisms. Each solution is structured with three nested sequences, and composite heuristic evaluations are employed to generate high-quality initial solutions. The performance of each solution is assessed based on both fitness and diversity metrics. Customized crossover and mutation operators are introduced with dynamically adjusted probabilities reflective of immune response dynamics. Quantitative analysis validates our mathematical model and the distinct components of MOIBA. We compare MOIBA’s efficiency against six other effective multi-objective strategies using three performance metrics. Stability and robustness assessments, conducted through variance examination and statistical testing, offer insights into MOIBA’s consistency and reliability across diverse problem instances.

B - 121 Feasibility of a Remote Neuropsychological Protocol in a Cohort Based Epidemiological Study: the Framingham Heart Study

Abstract Objective Research demonstrates adequate consistency between in-person and tele-np assessments with the latter typically omitting visually based measures and limiting capture of process-oriented scores. This study presents a novel tele-np protocol designed at the Framingham Heart Study (FHS) allowing for capture of visual and Boston Process Approach (BPA) data. Methods Beginning in 2021, FHS participants completed a tele-np protocol via HIPAA-compliant Zoom that includes tests similar to those administered in-person assessing all cognitive domains including visual memory and visuospatial functioning. Records forms, digital pen for BPA capture, and a label for return of materials, were mailed to participants. Regression models were used to compare in-person and tele-np results. Results The tele-np protocol consisting of 15 tests was administered to 169 participants across 30 states and three countries. Participants were 71.8 years on average (SD = 9.98), well-educated (84.6% ≥ college-educated), Caucasian (86.4%), and 53% male. Mean completion time of the tele-np protocol is 77.7 minutes (SD = 13.2). 76% of participants were deemed to be cognitively intact and 24% cognitively impaired based on their tele-np and previous in-person data. With the exception of a test of processing speed (β = −5.24 [−7.58,-2.89], p &amp;lt; 0.001), raw scores across most tests did not significantly differ based on mode of administration (tele-np vs. in-person) after adjusting for age, sex, education, and years between in-person and tele-np evaluations. Conclusion Preliminary findings indicate that the current tele-np protocol yields reliable results. Tele-np offers a cost-effective approach to improve accessibility and retention of participants, especially those out of state who may have otherwise been excluded from data collection.