Measure Of Success Research Articles

Pupil response patterns distinguish true from false memories

Memory is reconstructive and error-prone, which make memory illusions very common in everyday life. However, studying memory illusions can provide valuable insights into how memory works. Pupil response has emerged, in recent years, as an indicator of memory encoding and retrieval, however its validity as a measure of memory success is debated. In this study, we explored whether pupil response patterns can differentiate true from false memories and whether variations in the temporal dynamics of pupil response can elucidate the mechanisms underlying false memory creation. The Deese-Roediger-McDermott (DRM) paradigm was employed to generate false memories in two separate experiments involving visual and auditory stimuli. Pupil responses effectively differentiated true from false memories based on variations in pupil amplitude at different temporal components. This discrimination remained consistent across both experiments, with slightly stronger effects in the auditory condition, aligning with the more pronounced false memory effects in this condition. Notably, differential pupil responses between true and false memories varied based on the type of memory involved at recognition. These findings provide valuable insights into the cognitive processes underlying memory distortions, with implications for theoretical frameworks and real-world contexts.

STUDENT GRADUATION TIME PREDICTION USING LOGISTIC REGRESSION, DECISION TREE, SUPPORT VECTOR MACHINE, AND ADABOOST ENSEMBLE LEARNING

Universities in Indonesia are working hard to improve the graduation rates of their students as it is considered a measure of success and quality in terms of accreditation. This study focuses on analyzing the effectiveness of machine learning algorithms, regression, Support Vector Machine (SVM) Decision Tree and ensemble learning, with AdaBoost wether the Computer Science students will graduate on time or not. The data used for this analysis consists of student records from 2015 to 2019. Includes 14 variables. To understand the relationships between these variables a two-dimensional visualization called a Heatmap was employed. The research findings indicate that the Support Vector Machine (SVM) and AdaBoost Decision Tree (DT) algorithm performs better than the other algorithms. The Decision Tree and AdaBoost (DT) model achieved an F1- score of 0,76 and 0,82. This research contributes towards enhancing education management by facilitating decision making to ensure timely graduation, for student

Segmentation of plant residues on soil X‐ray CT images using neural network

AbstractIn soil, plant residues have low contrast making them difficult to detect using X‐ray computed tomography. In this work, we tested a convolutional neural network (U‐Net) for its ability to improve the identification of crop residues in soil samples assembled from aggregates of different size fractions (small, large, water‐stable aggregates, and average aggregate composition). Soil CT images were obtained using a 244 μm resolution. About 2500 soil images were annotated to train the neural network, of which only 631 images were selected for the training data set. Intersection over Union (IOU) was used as a measure of success of segmentation by neural network, which takes values from 0 to 1. In the validation data set, IOU of background was 0.93, IOU of solid phase was 0.95, IOU of pore space was 0.77, and IOU of plant residues was 0.40. However, IOU of plant residues in the total data set increased to 0.7. Soil structure influences the quality of multiphase segmentation of soil CT images. The poorest segmentation of plant residues was in the soil samples composed of average aggregate size composition. The quality of pore space segmentation increased with increasing porosity of the soil sample. The model tends to generalize the large areas occupied by plant residues and overlooks the smaller ones. The low values of the IOU metric for plant residues in the training data set can also be related to insufficient quality of annotation of the original images.

Real world evidence on the characteristics of regular and intermittent users of a very-low calorie diet program and associations with measures of program success, health, and quality of life.

Very low-calorie diet (VLCD) programs are readily available in Australia. However, there is a lack of real-world evidence describing the characteristics related to positive outcomes. To examine the demographic, eating, self-efficacy and program engagement characteristics of VLCD users in Australia, and the associations between user characteristics and program success, weight loss, quality of life (QOL) and health. Cross-sectional data from Australian adults: regular users (n=189: VLCD user ≥4days/week for >4weeks) and intermittent users (n=111, VLCD user <4weeks and/or <4days/week). Self-reported data on demographics, VLCD program use, support, eating behavior, weight-related QOL, mental health, physical health, self-efficacy, and physical activity. Descriptive and inferential statistics were performed in R. Compared to regular users, intermittent users reported lower percentage weight loss (15.1%±SD 9.8 vs. 9.9%±SD 6.8, relative to starting weight), fewer reported their VLCD program as very successful (44% vs. 35%), higher depressive symptom scores (8.7±SD 2.8 vs. 6.7±SD 5.1), and lower general self-efficacy (23.9±SD 4.7 vs. 29.4±SD 5.7), nutrition self-efficacy (11.9±SD 2.0 vs. 14.5±SD 3.1) and weight-related QOL scores (60.9±SD 22.2 vs. 65.0±SD 11.8; p<0.001 for all). In regular users, older age and longer program duration were associated with greater total weight loss, support, and program success (p<0.001 for all). In intermittent users, program success was greater when dietitian support was used (odds ratio [OR] 6.50) and for those with higher BMIs (OR 1.08, p<0.001 for all). In both groups, more frequent support was associated with better weight-related QOL (p<0.001). This study provides real-world evidence that regular VLCD users had greater success and weight loss than intermittent program users. These findings may be used to tailor and improve the delivery of VLCD programs in Australia and other countries with retail access to VLCDs.

Physical exercise and cardiovascular response: design and implementation of a pediatric CMR cohort study

To examine feasibility and reproducibility and to evaluate the cardiovascular response to an isometric handgrip exercise in low-risk pediatric population using Cardiovascular Magnetic Resonance measurements. In a subgroup of 207 children with a mean age of 16 years participating in a population-based prospective cohort study, children performed an isometric handgrip exercise. During rest and exercise, continuous heart rate and blood pressure were measured. Cardiovascular magnetic resonance (CMR) measurements included left ventricular mass, aortic distensibility and pulse wave velocity at rest and left ventricular end-diastolic and end-systolic volumes, ejection fraction, stroke volume and cardiac output during rest and exercise. 207 children had successful CMR measurements in rest and 184 during exercise. We observed good reproducibility for all cardiac measurements. Heart rate increased with a mean ± standard deviation of 42.6% ± 20.0 and blood pressure with 6.4% ± 7.0, 5.4% ± 6.1 and 11.0% ± 8.3 for systolic, diastolic and mean arterial blood pressure respectively (p-values < 0.05). During exercise, left ventricular end-diastolic and end-systolic volumes and cardiac output increased, whereas left ventricular ejection fraction slightly decreased (p-values < 0.05). Stroke volume did not change significantly. A sustained handgrip exercise of 7 min at 30–40% maximal voluntary contraction is a feasible exercise-test during CMR in a healthy pediatric population, which leads to significant changes in heart rate, blood pressure and functional measurements of the left ventricle in response to exercise. This approach offers great novel opportunities to detect subtle differences in cardiovascular health.

Popular Votes on Tobacco Tax Increases, 2012–2022

Context: Researchers have examined the campaign strategies, messaging, and outcomes of popular votes on tobacco tax increases from 1998 to 2008, but no study has investigated measures that have appeared since 2008. Methods: The author uses state newspaper archives, voter pamphlets, academic reports, advocacy websites, and personal interviews to obtain information about the 11 tobacco tax increase ballot measures that appeared from 2012 to 2022. Findings: The three measures that succeeded during 2012–2022 featured sufficient financial resources, collaboration with influential stakeholders, and early public support. Two of the three successful measures offered significant concessions to the tobacco industry, and both were designed as legislatively referred statutes. Elsewhere, proponents sought unsuccessfully to enact citizen-led initiatives that would allocate revenue to progressive policy priorities. In contrast to previous eras, tobacco industry arguments often centered around antitax and antigovernment rhetoric, which was viewed as especially compelling in conservative states. The industry's success rate was higher than in the past, and it continued to outspend its opponents, sometimes by staggering margins. Conclusions: Campaign spending and early support remain critical to the success of tobacco tax ballot measures. Big Tobacco can extract significant concessions even in defeat, and direct democracy is an effective but imperfect ally to tobacco control advocates.

Building Capacity for Collective Possibilities: Reimagining Research Teams in Higher Education

ABSTRACT Grounding our work in shared commitments to community care, our collective of racially minoritized higher education scholars aims to resist the often overly competitive and isolating nature of research teams in graduate education. Our commitments to community care are also in opposition to a hyperfocus on productivity as a measure of success in the academy. In this collaborative autoethnography, we reflected upon and made meaning of our experiences as a research team of racially minoritized scholars at a predominantly white institution who are striving to enact our commitments to community care. Using socialization and the theory of refusal as guiding frameworks, we identified three concepts that were vital to our efforts as a team: (a) holding space for racialization and resistance, (b) deliberate centering of the collective learning process and co-construction of knowledge, and (c) acknowledging the tension between production pressures and maintaining relationships. Our findings highlight how research teams can serve as sites of connection, refusal, and resistance for racially minoritized scholars in higher education. By committing to mutuality and our humanity, we also illustrate how research teams can be used to imagine and create new futures in the academy.

GNAQ/GNA11 Mosaicism Is Associated with Abnormal Serum Calcium Indices and Microvascular Neurocalcification

Mosaic mutations in genes GNAQ or GNA11 lead to a spectrum of diseases including Sturge-Weber syndrome and phakomatosis pigmentovascularis with dermal melanocytosis. The pathognomonic finding of localized "tramlining" on plain skull radiography, representing medium-sized neurovascular calcification and associated with postnatal neurological deterioration, led us to study calcium metabolism in a cohort of 42 children. In this study, we find that 74% of patients had at least one abnormal measurement of calcium metabolism, the commonest being moderately low serum ionized calcium (41%) or high parathyroid hormone (17%). Lower levels of ionized calcium even within the normal range were significantly associated with seizures, and with specific antiepileptics despite normal vitamin D levels. Successive measurements documented substantial intrapersonal fluctuation in indices over time, and DEXA scans were normal in patients with hypocalcemia. Neurohistology from epilepsy surgery in five patients revealed not only intravascular, but perivascular and intraparenchymal mineral deposition and intraparenchymal microvascular disease in addition to previously reported findings. Neuroradiology review clearly demonstrated progressive calcium deposition in individuals over time. These findings and those of the adjoining paper suggest that calcium deposition in the brain of patients with GNAQ/GNA11 mosaicism may not be a nonspecific sign of damage as was previously thought, but may instead reflect the central postnatal pathological process in this disease spectrum.

How the cervix killed the cervimeter: A nonstandard story of successful measurement

This paper connects the historical case of mid-twentieth century cervimetry in the US to contemporary examples which suffer from similar methodological problems. By examining why past and current technological attempts at measuring the cervix have failed, this paper offers not only a compelling description of enduring methodological problems in standardized cervimetry, but also a normative claim: We need no better instrument for measuring cervical dilation than the human hand. This paper outlines why we are unlikely to ever see a successful replacement for the manual method, why the human hand is a surprisingly capable instrument, and rightly caution that further efforts at designing a cervimeter would be misguided and fruitless. This counter-intuitive history of how a non-standard measuring method succeeds, in the wake of decades of standardized failures, can shed light on broader concerns in the clinical measurement community about how to achieve meaningful, usable measures.

Using research to build power: the Pittsburgh Wage study

ABSTRACT Social workers seek to address numerous forms of oppression. While our research has focused on extensively documenting problems, solutions often remain out of grasp. Many schools of social work remain entrenched in traditional academic structures focused on narrow measures of academic success and impact. This article critiques these measures, proposing a framework for using research to build community power for societal impact. Using the Pittsburgh Wage Study as a case study, it argues engaged research offers an opportunity to move from documenting problems to demonstrating how research can build the power of community groups involved in developing solutions. Based on our experiences, we offer a framework for using research to build power, arguing we need to build relationships by showing up and listening, center the questions our partners want answered, use multiple methods and approaches, move quickly when asked, develop a broad set of products outside of journal articles, and embrace politics where needed.

The Relationship Between Psychosocial Factors and Student Success in Athletic Training Students

Context Many athletic training programs are not meeting accreditation standards involving measures of student success, causing programs to be noncompliant with these standards and showing current and prospective students that their program may not prepare them for a successful career. Studies have shown that psychosocial factors, including psychological needs and measures of student motivation, may be related to student success. Objective To examine the relationships between psychological needs (autonomy, competence, and relatedness), measures of student motivation (controlled and autonomous motivation, self-efficacy, and academic and athletic trainer identity), and measures of student success (persistence, intention to leave, perceived academic performance, and grade point average [GPA]) in athletic training students. Design Cross-sectional. Setting Entry-level master’s athletic training programs. Patients or Other Participants Ninety-seven current entry-level master’s athletic training students who held a noncertified student National Athletic Trainers’ Association membership in 2020. Data Collection and Analysis Responses to surveys were estimated using a path model, in which 4 measures of student success were specified to be predicted by psychological needs directly and indirectly through measures of student motivation. Results Persistence was positively predicted by autonomy and autonomous motivation. Intention to leave was positively predicted by controlled motivation. Perceived academic performance was positively predicted by competence and autonomous motivation. Finally, GPA was predicted positively by academic identity and negatively by athletic trainer identity. Findings also showed an indirect relationship between competence and GPA through academic identity. Overall, findings showed that autonomy, competence, autonomous motivation, and academic identity were important predictors of student success. Conclusion(s) Athletic training students should be provided opportunities to practice athletic training skills and knowledge and to make choices regarding patient care in real-life situations and regarding their learning environment. These opportunities for independence may result in greater autonomy, competence, autonomous motivation, and academic identity, and, in turn, greater student success.

I Stayed for the Community: Collaboration and Community in an Open Social Scholarship Research Project

Open social scholarship implies a community of academic specialists and non-specialists working together to create, disseminate, and use research to ensure that it is engaged in broader contexts than initially envisioned. But what are the best ways to do this? The Implementing New Knowledge Environment (INKE) project on open social scholarship is working to answer this question with a collaborative team of academic and academic-adjacent researchers and partners. But this raises questions in its own right – how can researchers and partners, with differing organizational cultures, objectives and goals, and expertise, work together to further open social scholarship? Continuing research on collaboration from the first INKE project on electronic books and reading, this paper examines the nature of collaboration with INKE’s new focus on open social scholarship. Through yearly interviews of team members, it explores the nature of collaboration, its advantages and disadvantages, and measures of success. This paper will explore the collaboration’s first year of research. It will also include some reflection on collaboration in the age of COVID.

The Effectiveness of Medial Branch Blocks and Radiofrequency Neurotomy in Managing Chronic Thoracic Pain: A Systematic Review and Meta-Analysis

BACKGROUND: Extensive research into potential sources of thoracic pain with or without referred pain into the chest wall has demonstrated that thoracic facet joints can be a potential source of pain confirmed by precise, diagnostic blocks. The objective of this systematic review and meta-analysis is to evaluate the effectiveness of medial branch blocks and radiofrequency neurotomy as a therapeutic thoracic facet joint intervention. METHODS: Systematic review and meta-analysis of randomized controlled trials (RCTs) and observational studies of medial branch blocks and the radiofrequency neurotomy in managing thoracic pain utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist was performed. A comprehensive literature search of multiple databases of RCTs and observational studies of medial branch blocks and radiofrequency neurotomy in managing chronic thoracic pain were identified from 1996 to December 2022 with inclusion of manual searches of the bibliography of known review articles and multiple databases. Methodologic quality and risk of bias assessment was also conducted. Evidence was synthesized utilizing principles of quality assessment and best evidence synthesis, with conventional and single meta-analysis. The primary outcome measure of success was 3 months of pain reduction for medial branch blocks and 6 months for radiofrequency thermoneurolysis for a single treatment. Short-term success was defined as up to 6 months and long-term was more than 6 months. RESULTS: This literature search yielded 11 studies meeting the inclusion criteria, of which 3 were RCTs and 8 were observational studies. Of the 3 RCTs, 2 of them assessed medial branch blocks and one trial assessed radiofrequency for thoracic pain. The evidence for managing thoracic pain with qualitative analysis and single-arm meta-analysis and GRADE system of appraisal, with the inclusion of 2 RCTs and 3 observational studies for medial branch blocks was Level II. For radiofrequency neurotomy, with the inclusion of one RCT of 20 patients in the treatment group and 5 observational studies, the evidence was Level III in managing thoracic pain. LIMITATIONS: There was a paucity of literature with RCTs and real-world pragmatic controlled trials. Even observational studies had small sample sizes providing inadequate clinically applicable results. In addition, there was heterogeneity of the available studies in terms of their inclusion and exclusion criteria, defining their endpoints and the effectiveness of the procedures. CONCLUSION: This systematic review and meta-analysis show Level II evidence of medial branch blocks and Level III evidence for radiofrequency neurotomy on a long-term basis in managing chronic thoracic pain. KEY WORDS: Chronic spinal pain, thoracic facet or zygapophysial joint pain, facet joint nerve blocks, medial branch blocks, controlled comparative local anesthetic blocks, diagnostic accuracy, radiofrequency neurotomy

Association Between Remote Dielectric Sensing and Body Mass Index.

Remote dielectric sensing (ReDS) is a non-invasive, electromagnetic energy-based technology to quantify pulmonary congestion. However, the accuracy of ReDS values in patients with a variety of physiques has not been fully validated.Prospective successive measurements of ReDS values and body mass index (BMI) were performed on admission in consecutive hospitalized patients with cardiovascular diseases. Patients were stratified into 4 groups according to the WHO classification: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 24.9), pre-obese (25.0 ≤ BMI < 29.9), and obese (30.0 ≤ BMI). The indexed ReDS value was defined as a ReDS value divided by the modified congestion score index (the severity of pulmonary congestion on chest X-ray). The indexed ReDS values were compared among the 4 stratified groups.A total of 436 patients (76 [69, 82] years old and 254 men) were included. The median indexed ReDS values were 21.3 (19.1, 23.8), 25.7 (21.0, 29.5), 25.7 (20.3, 31.0), and 28.0 (21.1, 34.0) in underweight, normal weight, pre-obese, and obese patients, respectively, highlighting the underweight group had the lowest values (P < 0.001).ReDS values may be underestimated and specific caution should be paid in its interpretation in underweight patients.

Employment Strategies in Applied Universities: A Case Study of Shanxi Technology And Business College in the New Era

&#x0D; &#x0D; &#x0D; &#x0D; The rapid expansion of higher education in China has led to a transformation in the employment landscape for college graduates. In response, the government has established a new employment market mechanism that poses challenges for employment guidance departments. The employment outcomes of college students are closely tied to the development and competitiveness of universities. To address these challenges, applied universities must enhance the comprehensive qualities and employability of their students through long-term planning and coordination. This paper examines the employment work in applied universities in the new era, focusing on the case of Shanxi Technology and Business College. The study highlights the requirements for effective employment strategies, including leadership involvement, coordination, and engagement of all staff members. It also discusses the employment statistics of the 2022 graduates from Shanxi Technology and Business College. The paper outlines the employment strategies employed by the college, such as employment guidance classes, improving the quality of employment education, and establishing on-campus and online recruitment platforms. It emphasizes the coordinated efforts and responsibilities of the college leadership, active participation from various departments, transformation of educational guidance, and the implementation of multiple measures for employment success. The college also emphasizes the accurate collection and statistical verification of graduates' employment data.This study provides insights into the employment work in applied universities, offering valuable strategies and practices for navigating the new era of college graduate employment.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;

Extending device noise measurement capacity for OFDM-based PLC systems: Design, implementation, and on-field validation

Noise measurement in power line communication (PLC) systems is a common activity performed by grid operators for network tuning operations. Usually, these measurements are carried out with portable devices that have a fixed sensing and storage capacity.In this context, this paper presents a software-only solution for enhancing the performance of noise measurements in PLC systems. In detail: (i) we extend the measurement capacity in terms of the maximum number of samples that can be detected continuously, by using a machine learning (ML)-powered low complexity algorithm; and, (ii) we reduce the discontinuity period between successive measurements. This latter feature enables the possibility of collecting more continuous data. To show the viability of our proposal, we conducted a field measurements campaign to measure the scheme’s accuracy and the measurement capacity extension ratio (MCER). The introduced approach is able to increase the MCER by up to 8 times, in the considered PLC environments, with an accuracy above 90%. While the proposed approach has a clear application – improving current devices’ noise measurements capability without requiring costly hardware upgrades –, the technique herein shown has a general applicability, and could hence pave the way for further applications in related fields.

Growth of bimetallic Ni-Co MOFs on a skeleton of electrospun PAN nanofibers and coating on a thin film for SPME of amitriptyline and nortriptyline in urine and plasma samples

In this research, composited bimetallic organic framework-polyacrylonitrile (Ni-Co MOFs-PAN) was applied for thin-film solid phase microextraction (TF-SPME) of tricyclic antidepressant (TCA) drugs from biological samples. The separation and quantification of the analytes were accomplished by HPLC-UV. First, seeded nanofibers with organic ligands were electrospun on a sheet of foil. Then, with the uniform in-situ solvothermal growth of Ni-Co MOFs on the skeletal surface of nanofibers, the nanoparticles were successfully attached to the surfaces without effective bonds and produced a thin layer with a high flexibility, large active surface and abundant functional groups for adsorption. The characteristics of the produced nanocomposite were investigated by Fourier-transform infrared spectroscopy, field emission-scanning electron microscopy, X-ray diffraction, energy dispersive X-ray spectroscopy and Brunauer-Emmett-Teller analysis. The stirring rate, pH, ionic strength, adsorption and desorption time along with type and volume of desorption solvents as influential factors on extraction efficiencies of the analytes, were optimized by one variable at a time method. Under optimized conditions, wide linear range for analytes in water and plasma matrices were obtained from 0.2 to 1000.0 μg L−1 and 1.0–1000.0 μg L−1, respectively, with R2 ≥ 0.9925. The limits of detection were in the range of 0.06–0.3 μg L−1 in different media. Good repeatability and reproducibility were attained within intra-day, inter-day and film-to-film RSDs% (n = 3) below 3.3 %, 3.9 % and 4.7 %, respectively. Since desirable relative recoveries were calculated between 91.4 % and 100.4 %. The method can be used for the successful extraction and measurement of amitriptyline and nortriptyline as its metabolite in different sampling time from urine and plasma matrices.

Valuable bycatch: Eliciting social importance of sharks in Sri Lanka through value chain analysis

Decades of unsustainable fishing have caused widespread declines in shark populations leading to calls for increased management and policy. To design successful measures, an understanding of the social context and drivers for trade is needed. This study uses a value chain approach in Sri Lanka, where shark landings have declined rapidly, to map shark trade actors, ascertain determinants of price of shark meat and determine wider social value of shark products. Data was collected over one year from surveys of sales events (n = 630), and semi-structured interviews (n = 24), at two sites on the south and west coasts. We identify a dynamic, flexible supply chain with a small number of specialised stakeholders that may alternate roles depending on factors such as supply of sharks. Sharks were the primary income source for most (71%, n = 17) and 25% (n = 6) reported no alternative income sources. Trade was dominated by dried shark meat in the domestic market, and demand shaped by its perceived nutritional benefits and taste. Identification of species was difficult, and shark meat was primarily sold as size categories, however, whether or not shark was sold as blue shark (Prionace glauca) significantly impacted price reportedly due to lower international demand for their fins. Stakeholders perceived substantial drops in shark landings and trade > 10 years ago. We show that, within Sri Lanka, shark products represent a nexus of two dramatically different markets: high-value fins for their export markets and low to medium-value meat important for domestic earnings. The presence of dried products reportedly increases resilience of shark trade to socio-ecological shocks. Disentangling the relative social importance of these products, through product-specific and species-specific data is vital for a move towards predictive management that is capable of robust outcomes.

Dynamical Information Synergy in Biochemical Signaling Networks.

Biological cells encode information about their environment through biochemical signaling networks that control their internal state and response. This information is often encoded in the dynamical patterns of the signaling molecules, rather than just their instantaneous concentrations. Here, we analytically calculate the information contained in these dynamics for a number of paradigmatic cases in the linear regime, for both static and time-dependent input signals. When considering oscillatory output dynamics, we report on the emergence of synergy between successive measurements, meaning that the joint information in two measurements exceeds the sum of the individual information. We extend our analysis numerically beyond the scope of linear input encoding to reveal synergetic effects in the cases of frequency or damping modulation, both of which are relevant to classical biochemical signaling systems.

The Potential Use of Remote Underwater Video (RUV) to Evaluate Small-Bodied Fish Assemblages

Successful aquatic ecosystem conversation strategies depend on high-quality data from monitoring studies and improved habitat requirement knowledge. Remote Underwater Video (RUV) is a non-extractive alternative to capture-based techniques for studying and monitoring fish and is increasingly used in smaller channels. This study uses field observations made with waterproof Sony HDR-AS100V action cameras positioned in stream channels to determine species and population during various flow conditions across three sites within the Credit River Watershed, Ontario, Canada. Six fish species were identified, and individual fish lengths were estimated using the inverse square law to proportionally adjust size scales to fish positions relative to the camera. Successful identification and measurements were limited by turbidity, with camera placements in &gt;6 NTU conditions (18% of all placements) resulting in at least one fish observed in the frame. With over 24 h of video recordings with 94 individual video clips, the optimal filming duration was determined to be 20–25 min. RUV surveys provide managers with useful monitoring data regarding fish present in an environment in a cost-effective and efficient manner. Additionally, as the method is largely non-invasive, RUV surveys are especially useful for studying fish behaviour, sensitive or endangered species, and working in difficult-to-access channels (e.g., shallow, faster flow).