Size Estimation Research Articles

An integrated population model and sensitivity assessment for a data poor population of green sturgeon

Conservation planning requires understanding population sizes and trajectories. As with many imperiled species, green sturgeon (Acipenser medirostris) census data are limited, making it difficult to contextualize current threats and promote quantitative conservation goals. We combined spawning census, growth, and demographic data for the southern population of green sturgeon to build a population size and trajectory estimate. We generated a distribution of population size estimates and trajectories reflecting uncertainty from multiple sources. We then propagate these estimates through a demographic model to assess the potential impact of fishing bycatch. Our model suggests the population is below the recovery goal of 3,000 adults. The most probable current total population estimate (including juveniles) is approximately 10,000 fish (5,300-18,400 95% HDI), with 2,400 adults (2197-2624 95% HDI). Simulated fishing bycatch pressure on the adults and subadults reduced abundance by a median value of 0.4% per year, which could be an impediment to recovery. Fisheries bycatch is one of many threats this population faces; this integrated framework may be used to assess how other threats may affect this population.

Comparing Fetal Ultrasound Biometric Measurements to Neonatal Anthropometry at the Extremes of Birthweight.

Error in birthweight prediction by sonographic estimated fetal weight (EFW) has clinical implications, such as avoidable cesarean or misclassification of fetal risk in labor. We aimed to evaluate optimal timing of ultrasound and which fetal measurements contribute to error in fetal ultrasound estimations of birth size at the extremes of birthweight. We compared differences in head circumference (HC), abdominal circumference (AC), femur length, and EFW between ultrasound and corresponding birth measurements within 14 (n = 1,290) and 7 (n = 617) days of birth for small- (SGA, <10th percentile), appropriate- (AGA, 10th-90th), and large-for-gestational age (LGA, >90th) newborns. Average differences between EFW and birthweight for SGA neonates were: -40.2 g (confidence interval [CI]: -82.1, 1.6) at 14 days versus 13.6 g (CI: -52.4, 79.7) at 7 days; for AGA, -122.4 g (-139.6, -105.1) at 14 days versus -27.2 g (-50.4, -4.0) at 7 days; and for LGA, -242.8 g (-306.5, -179.1) at 14 days versus -72.1 g (-152.0, 7.9) at 7 days. Differences between fetal and neonatal HC were larger at 14 versus 7 days, and similar to patterns for EFW and birthweight, differences were the largest for LGA at both intervals. In contrast, differences between fetal and neonatal AC were larger at 7 versus 14 days, suggesting larger error in AC estimation closer to birth. Using a standardized ultrasound protocol, SGA neonates had ultrasound measurements closer to actual birth measurements compared with AGA or LGA neonates. LGA neonates had the largest differences between fetal and neonatal size, with measurements 14 days from delivery showing 3- to 4-fold greater differences from birthweight. Differences in EFW and birthweight may not be explained by a single fetal measurement; whether estimation may be improved by incorporation of other knowable factors should be evaluated in future research. · Ultrasound measurements may be inadequate to predict neonatal size at birth.. · Birthweight estimation error is higher for neonates >90th percentile.. · There is higher error in AC closer to birth..

Collateral Child and Parent Effects of Behavioral Sleep Interventions for Children with Rare Genetic Neurodevelopmental Conditions

Abstract Objectives This study, following Woodford et al. (2024), investigated the collateral child and parent effects of function-based behavioral sleep interventions for 21 children with rare genetic neurodevelopmental conditions (RGNC). Methods Measures completed by parents at pre- and post-intervention assessed change in children’s internalizing and externalizing symptoms, health-related quality of life, behavioral strengths and difficulties, as well as parental sleep, relationship quality, and mental health symptoms. Data were analysed using modified Brinley plots and effect size estimates. Results Results demonstrate modest collateral benefits across child emotional and behavioral difficulties and health-related quality of life, and maternal anxiety and stress symptoms and sleep quality. There was minimal improvement in parent ratings of child externalizing symptoms and physical health-related quality of life, parent relationship satisfaction and all paternal outcome measures. There was no statistically significant relationship between changes in collateral outcomes and sleep problem severity. Conclusions Findings underscore the diverse potential benefits of improved sleep and highlight the need for further prioritisation of sleep services and research in RGNC.

Estimation of red blood cell aggregation size using power spectrum considering density of red blood cells in focal region

Abstract We have studied a noninvasive and quantitative method for measuring the aggregate size of red blood cells (RBCs). In our previous study, the scattering power spectrum obtained from the vascular lumen was fitted to the reference scattering spectra calculated from the scattering spectrum of a single-sphere scatterer. In this paper, we propose a method for calculating the reference scattering spectra by summing the scattering spectra for numerous scatterers in the ultrasound focal region. By applying this method to the size estimation of microparticles simulating RBC aggregates, the estimated sizes are found to be close to the true values. In in vivo measurements, the estimated sizes at rest are equivalent to the size of a single sphere with the same volume as an RBC, and those during avascularization are larger than those at rest, which is reasonable. The proposed method has the potential to accurately estimate the size of RBC aggregates.

Behavioral Sleep Interventions for Children with Rare Genetic Neurodevelopmental Conditions: A Retrospective Analysis of Overall Outcomes for 26 Cases

Abstract Objectives Sleep difficulties are highly prevalent among children with rare genetic neurodevelopmental conditions (RGNC) such as Angelman and Smith-Magenis syndromes. Behavioral interventions are commonly used in the treatment of sleep difficulties in children; however, research is limited in children with RGNC. This study evaluated the overall effectiveness and acceptability of function-based behavioral sleep interventions for children with RGNC. Methods Data was collated from a series of experimental single-case research studies with 26 children (18 months to 19 years of age) with a range of RGNC, who received a behavioral sleep intervention. Intervention strategies included circadian (e.g., sleep/wake rescheduling), antecedent (e.g., sleep hygiene), and/or consequence (e.g., positive reinforcement of sleep-conducive behavior and modified extinction) modifications implemented by parents. Clinicians provided support for parents mostly via telehealth methods. Overall outcomes were examined using modified Brinley plots and effect size estimates. The effect of age, gender, and a range of psychological variables on intervention response was also examined. Results Improvements in sleep problem severity were observed for 24/26 participants, and gains were maintained at long-term follow-up for 13/16. Interestingly, 50% of the children achieved clinically significant change with less restrictive strategies (e.g., circadian, antecedent and positive reinforcement strategies), suggesting extinction procedures may be used as the last option in a sequence of interventions. Parents generally perceived interventions to be acceptable. There was minimal evidence of any differential response to intervention as a function of age, gender, or psychological variables. Conclusions Results suggest function-based behavioral interventions offer an effective and socially valid method for treating sleep disturbance in children with RGNC.

Equivalent mating system parameters in post‐mining and undisturbed native plant populations confirms restitution of bird‐pollinator function

Abstract The restoration of diverse self‐sustaining ecosystems requires re‐establishment of functional interactions among species. For plant communities, pollinators are usually essential for pollination, seed set and seed quality. A common assumption in ecological restoration for plants pollinated by animals is one of ‘build it and they will come’, which is rarely tested. Beyond seed set, there may be negative genetic consequences for seed quality if pollinators and their behaviour do not reflect those in reference populations. Here, we conduct an ecological genetic assessment of seed quality via mating system parameters in Lambertia multiflora (Proteaceae), a species dependent on nectar‐feeding birds for pollination. Four populations of L. multiflora in disturbed sites that were rehabilitated following mineral sands mining were compared with four native reference populations, near Eneabba, Western Australia. In each population, approximately 10 offspring from each of 10 maternal plants were genotyped with 11 highly polymorphic microsatellite markers. From these data, genetic diversity and mating system parameters were assessed, and found to be equivalent across all populations. Mean allelic diversity and heterozygosity across loci were very high. All populations were completely outcrossing with no bi‐parental inbreeding. Mean correlated paternity, sibship and effective population size estimates for restored and natural populations were not significantly different and reflected uniformly high paternal diversity and wide outcrossing. Equivalent genetic results for restored and natural reference populations indicate successful restitution of bird‐pollinator services for L. multiflora in these post‐mining rehabilitation sites. Synthesis and applications. Reviewing our results with other published studies to date suggests a resilience of bird‐pollinator services in restored plant communities. These findings provide some reassurance to restoration practitioners working in these global south systems where bird pollination is a feature, at least for similar landscape scenarios. Our study also highlights the global contribution of ecological genetics to the objective assessment of functional species interactions in ecological restoration, an increasingly important goal of land managers and regulators seeking to improve restoration standards.

Data from the Paper Entitled &amp;ldquo;Application of a Bayesian Approach for Exploring the Impact of Syllable Frequency in Handwritten Picture Naming&amp;rdquo;

Data from the Paper Entitled &amp;ldquo;Application of a Bayesian Approach for Exploring the Impact of Syllable Frequency in Handwritten Picture Naming&amp;rdquo;

Technological Capabilities on Business Outcomes: Evidence from Meta-Analysis and FsQCA

ABSTRACT A meta-analysis of 161 empirical studies analyzed technological capabilities (TC) through meta-analytical structure equation modeling (MASEM) and fuzzy-set qualitative comparative analysis (fsQCA). Our findings show that TC has mean positive effect size estimates across business outcomes. The combinative approach of TC presents different insights about its impact on various business outcomes. This approach highlights a theoretical view while attempting to understand the impact of TC on business outcomes.

Effectiveness of Trained Community Lay Workers on Glycemic Control, Knowledge, and Self-Efficacy Among Agricultural Workers with Diabetes in the Texas Panhandle.

Systemic health barriers, economic challenges, and lack of follow-up care exacerbate self-management of chronic diseases like diabetes among Hispanic agricultural workers. The primary objective of this pilot project was to determine the benefit of using community coaches to decrease A1C levels and increase diabetes knowledge among agricultural workers with diagnosed diabetes in the Texas Panhandle. A longitudinal study design with two phases was used to create, deliver, and evaluate a diabetes coaching program. Phase 1 was the development of the program and community coaches training (n = 4). In Phase 2, the coaches then delivered the program over 12 weeks to thirteen clients. Phase 1: All coaches were Hispanic females, 28.3 (SD 3.8) years of age, half had at most a high school education level and the other half had a vocational certification (n = 4). Mean DKQ-24 score was 54.2% (SD = 29.7) at baseline and 75.0% (SD = 31.4) after training (t (4) = 4.6, P < 0.05). We observed a very large difference between mean baseline and exit DKQ-24 scores relative to the pooled standard deviation, resulting in an effect size estimate of 0.59 indicative of a medium to large learning effect. Phase 2: Clients were Hispanic Spanish-speaking, predominantly female (55%), 44.4 (SD 6.8) years of age with at most a high school level of education (88.9%) and occupations varied from dairy farm worker (33.3%), meat processing worker (33.3%), and other agriculture or manufacturing position (33.3%). The mean SKILLD score was 40.0% (SD = 28.7) at baseline, increasing to 72.2% (SD = 25.4) at 12 weeks upon completion of the coaching program (t (9) = 2.956, P < 0.05). We observed a very large difference between mean baseline and exit SKILLD scores relative to the pooled standard deviation, resulting in an effect size estimate of 1.13 indicative of a large learning effect. The mean A1C levels at baseline screening was 8.3% (SD = 3.0) and 7.6% (SD = 3.0) at exit screening, representing a 0.7% decrease (p = 0.4730). No statistically significant differences were observed between depression (p = 0.786) or anxiety (p = 1.000) measures at baseline compared to exit. Training and coaching programs for hard-to-reach agricultural and meat processing workers must be culturally, linguistically, and literacy appropriate for both coaches and clients. The program must be feasible and sustainable, focus on empowering community members, capitalize on technological advances and persisting new-normals from the COVID-19 pandemic as well as dismantle common systemic barriers to health and understanding lived-experiences of agricultural working populations in rural regions.

Estimating the population size of persons contending with homelessness using electronic health records

Abstract The majority of attempts to enumerate the homeless population rely on point-in-time or shelter counts, which can be costly and inaccurate. As an alternative, we use electronic health records from the Vancouver Island Health Authority, British Columbia, Canada from 2013 to 2022 to identify adults contending with homelessness based on their self-reported housing status. We estimate the annual population size of this population using a flexible open-population capture–recapture model that takes into account (1) the age and gender structure of the population, including aging across detection occasions, (2) annual recruitment into the population, (3) behavioural-response, and (4) apparent survival in the population, including emigration and incorporating known deaths. With this model, we demonstrate how to perform model selection for the inclusion of covariates. We then compare our estimates of annual population size with reported point-in-time counts of homeless populations on Vancouver Island over the same time period, and find that using data extracts from electronic health records gives comparable estimates. We find similarly comparable results using only a subset of interaction data, when using only ER interactions, suggesting that even if cross-continuum data is not available, reasonable estimates of population size can still be found using our method.

Abstract PO2-09-06: Interaction of racial disparities on outcomes and toxicities associated with treatment of HER2+Breast Cancer- a TrinetX Database study

Abstract Objective: Investigate the interaction of racial disparities on outcomes and toxicities associated with treatment of HER2+BrCa (Breast Cancer)- a TrinetX Database study Background: HER2+BrCa is an aggressive subtype accounting for about 1/3rd of all BrCa, for which Trastuzumab based therapy remains the mainstay of treatment. While we are starting to understand the breadth of racial disparities in BrCa , the knowledge about outcomes and toxicities in relation to treatment of HER2+ BrCa is still limited. Design/Methods: In this propensity score-matched cohort study we used the TriNetX Research Network, a multi-health care organization de-identified electronic health record (EHR) database, to compare the 1-, 3-, and 5-year mortality of HER2+BrCa non-Hispanic African American (NHAA) women to a corresponding non-Hispanic White cohort (NHW). Qualification into the two race based HER2+BrCa cohorts required the presence of a C50 ICD-10-CM diagnosis code and at least one proxy for HER2 positivity such as Trastuzumab administration (index event). Cohorts were matched for age, BMI, comorbidities (HTN, DM ), and lab values using 1:1 matching with a greedy nearest neighbor search. Toxicity outcomes of interest such as cardiomyopathy, neuropathy, diarrhea, rashes, leg swelling/edema, and fatigue as well as the frequency of emergency room visits were also compared between the cohorts. The associations of observed outcome frequencies in the two cohorts were tested for significance using the chi-square test. The odds ratios and p-values, corrected for multiple hypothesis testing using the Benjamini-Hochberg procedure, are reported as an effect size and significance estimation. Results: 15983 patients met the inclusion criteria for HER2+BrCa (13611-NHW and 2372-NHAA). The mean age at the index event was 55.6 ± 12.6 years for NHAA and 57.2 ± 13.3 years for NHW. After matching the two sub-cohorts, 2303 patients remained in each. NHAA women were found to have significantly increased odds of neuropathy and cardiomyopathy for 1, 3, and 5-year time intervals after the HER2+BrCa index date, as compared to the reference NHW women (abbreviated results given in Table 1). In addition, the odds of an emergency room visit (for any reason) was found to be increased by as much as 79% in NHAA women as compared to the NHW women. The odds of experiencing fatigue/malaise, diarrhea/nausea, and rash, were reduced for NHAA women across all time intervals investigated. Odds ratios for mortality and leg swelling did not meet the significance threshold (p-value &amp;lt; 0.05). Conclusion: This study, which examined racial disparities in outcomes and toxicities associated with HER2+BrCa, revealed significant findings. NHAA women with HER2+BrCa treated with Trastuzumab based therapy demonstrated increased odds of experiencing neuropathy and cardiomyopathy compared to their NHW counterparts. Additionally, NHAA women had a higher likelihood of emergency room visits for any reason. Conversely, NHAA women exhibited decreased odds of fatigue/malaise, diarrhea/nausea, and rash. These findings underscore the importance of considering the impact of race on HER2+BrCa outcomes and treatment toxicities and suggest the need for further research and targeted interventions to address disparities and thus enhance treatment outcomes in diverse populations. Table 1: Representative significant Odds ratios and corrected p-values for outcomes comparing the NHAA and NHW cohorts. Citation Format: Monali Vasekar, Justin Petucci, Avnish Katoch, Vasant Honavar. Interaction of racial disparities on outcomes and toxicities associated with treatment of HER2+Breast Cancer- a TrinetX Database study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-09-06.

Abstract PO2-18-07: Ultrasound – guided Interstitial Laser therapy for Stage I Breast Cancer: a phase 2 trial

Abstract Background: Screening programs are changing the scope of breast cancer, with a growing number of patients diagnosed at a nearly stage. The current standard treatment (breast conservation and radiation therapy) offers an excellent prognosis for these patients. Besides tumor removal, other techniques can be used to destroy a mass in place. A range of minimally invasive techniques holds promise on local breast tumor ablation (i.e. thermotherapy, cryotherapy, and irreversible electroporation). Previous studies with Interstitial laser thermotherapy (ILT) for breast cancer report mean ablation rates between 33% to 87%. Most common cited causes for failure are equivocal tumor size estimation, inadequate technique and the learning curve. Objective: Improve the ILT technique and achieve better ablation rates through the evaluated procedure. Methods: A prospective study with 15 patients with Stage I invasive breast cancer, presented as a unique lesion as inclusion criteria was conducted. MRI and US were used to estimate the primary tumor volume and rule out multicentric/multifocal disease. ILT ablation was performed using an Echolaser unit (Elesta) through percutaneous laser optical fibers with a US-guided insertion in the lesion center. All procedures were performed under local anesthesia and sedation. The post procedure image reevaluation included an immediate US after the ablation and a new MRI about 3 hours after the procedure. The definitive proposed surgical treatment was carried out 8-13 days after the ILT ablation. Results: Eighteen patients were included in the study, of whom 14 (with 15 lesions) completed the protocol. The mean tumor size measured by MRI was 13.7 (4-20) mm. The mean treatment time was 10.1 minutes and all patients went home the same day, reporting only mild (78%) or moderate (22%) pain, controlled with analgesics. The mean ablation index, evaluated by H&amp;E and CK8/18, was 61,5% (0 -93%) and when only tumors under 15 mm were considered the mean ablation index was 75% (30%-93%). The MRI performed after ablation procedure showed a large area of edema around the clip in all cases. The sensitivity and specificity to detect residual tumors were 1.0 and 0.84, respectively, when the residual tumors were larger than 15% of the original tumor size . Conclusions: These preliminary results suggest that laser therapy can eliminate viable neoplastic tissue in vivo. To achieve better results, standardization in patient selection, power and energy applied, should be considered. There are several advantages of ILT for breast cancer treatment, including preserving the structure and function of breast, no bleeding, no scaring and no radiation. More studies refining the technique should be conducted to allow the implementation of ILT as an alternative to surgical treatment in early breast cancer. Citation Format: Danielle Matsumoto, Silvio Bromberg, Marcus Corpa, Rodrigo Garcia, Guilherme Mariotti, Monica Rudner, Angela Waitzberg, Afonso Nazário, Gil Facina. Ultrasound – guided Interstitial Laser therapy for Stage I Breast Cancer: a phase 2 trial [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-18-07.

Reproductive traits of the deep-sea shrimp Plesionika williamsi (Decapoda: Pandalidae) from the eastern-central Atlantic

The reproductive aspects of all Plesionika species are relatively well known worldwide, except for the deepest species of the genus, Plesionika williamsi, for which little information is available throughout its range. The ovarian maturity, sex ratio, brood size, and size-depth distribution of the deep-sea shrimp Plesionika williamsi (Pandalidae) in the Canary Islands (eastern-central Atlantic) were analysed. Ovigerous females were observed all year round, with the highest number of ovigerous females recorded between July and October. The presence of a greater number of ovigerous females during the summer may reflect a high local availability of food or the optimal abiotic conditions, which are factors with a strong influence on reproduction. The presence of non-ovigerous mature females throughout the year indicates that their resting period in the reproductive cycle occurs asynchronously. The physiological size at first sexual maturity was 19.24 mm in carapace length (CL) and the length at first sexual maturity was estimated at 23.15 mm CL. Estimates of size at first sexual maturity based on ovigerous females describe the result of the reproduction process, whereas size at first sexual maturity based on ovarian maturity deals with physiological preparation for reproduction. The modal size class of egg production was 24–30 mm CL, which yielded 83.22% of the population egg production. Plesionika williamsi is an iteroparous species that can produce small eggs during egg extrusion. The mean number of external embryos carried by females was 3048 and can be considered a true approximation of the number of larvae released in each batch, which depend on the conditions existing in each system. The shallower individuals are associated with a depth stratum that represents the boundary between two water masses present in the Canary Islands. The increase in size with depth is related to the presence of submarine volcanic canyons, which constitutes a flow channel of surface organic matter to depth.

Estimation of contemporary effective population size in plant populations: Limitations of genomic datasets.

Effective population size (N e) is a pivotal evolutionary parameter with crucial implications in conservation practice and policy. Genetic methods to estimate N e have been preferred over demographic methods because they rely on genetic data rather than time-consuming ecological monitoring. Methods based on linkage disequilibrium (LD), in particular, have become popular in conservation as they require a single sampling and provide estimates that refer to recent generations. A software program based on the LD method, GONE, looks particularly promising to estimate contemporary and recent-historical N e (up to 200 generations in the past). Genomic datasets from non-model species, especially plants, may present some constraints to the use of GONE, as linkage maps and reference genomes are seldom available, and SNP genotyping is usually based on reduced-representation methods. In this study, we use empirical datasets from four plant species to explore the limitations of plant genomic datasets when estimating N e using the algorithm implemented in GONE, in addition to exploring some typical biological limitations that may affect N e estimation using the LD method, such as the occurrence of population structure. We show how accuracy and precision of N e estimates potentially change with the following factors: occurrence of missing data, limited number of SNPs/individuals sampled, and lack of information about the location of SNPs on chromosomes, with the latter producing a significant bias, previously unexplored with empirical data. We finally compare the N e estimates obtained with GONE for the last generations with the contemporary N e estimates obtained with the programs currentNe and NeEstimator.

Flow Cytometry for Estimating Plant Genome Size: Revisiting Assumptions, Sources of Variation, Reference Standards, and Best Practices

Flow cytometry has been widely used to estimate relative and absolute genome sizes (DNA contents) of plants for more than 50 years. However, the accuracy of these estimates can vary widely because of many factors, including errors in the genome size estimates of reference standards and various experimental methods. The objectives of this study were to reassess genome sizes of commonly used reference standards and quantify sources of variation and error in estimating plant genome sizes that arise from buffers, confounding plant tissues, tissue types, and plant reference standards using both 4′,6-diamidino-2-phenylindole (DAPI) and propidium iodide (PI) fluorochromes. Five separate studies were performed to elucidate these objectives. Revised estimates of genome sizes of commonly used plant reference standards were determined using human male leukocytes as a primary standard with an updated genome size (6.15 pg; 12.14% lower than that of earlier studies) using both DAPI and PI fluorochromes. Comparison of six different buffers (Galbraith’s, LB01, MB01, MgSO4, Otto’s, and Sysmex) resulted in variations in genome size estimates by as much as 18.1% for a given taxon, depending on the buffer–fluorochrome combination. The addition of different confounding plant tissues (representing 10 diverse taxa and associated secondary metabolites) resulted in variations in genome size estimates by as much as 10.3%, depending on the tissue–fluorochrome combination. Different plant tissue types (leaf color/exposure and roots) resulted in a variation in genome size estimates of 10.7%, independent of the fluorochrome. The selection of different internal reference standards introduced an additional variation in genome size estimates of 5.9%, depending on the standard–fluorochrome combination. The choice of fluorochrome (DAPI vs. PI) had one of the largest impacts on genome size estimates and differed by as much as 32.9% for Glycine max ‘Polanka’ when using human male leukocytes as an internal standard. A portion of this variation (∼10.0%) can be attributed to the base pair (bp) bias of DAPI and variations in Guanine-Cytosine (GC):Adenine-Thymine (AT) ratios between the sample and standard. However, as much as 22.9% of the variation in genome size estimates may result from how effectively these fluorochromes stain and report the genome. The combined variation/error from all these factors (excluding variation from bp bias for different fluorochromes, and assuming variations from confounding tissues and tissue types to both result from secondary metabolites) totaled 57.6%. Additional details of how selected factors impact accuracy, precision, and the interaction of these factors are presented. Overall, flow cytometry can be precise, repeatable, and extremely valuable for determining the relative genome size and ploidy of closely related plants when using consistent methods, regardless of fluorochrome. However, accurate determination of the absolute genome size by flow cytometry remains elusive, and estimates of genome size using flow cytometry should be considered gross approximations that may vary by ±29% or more as a function of experimental methods and plant environments. Additional recommendations of best practices are provided.

FPGA-base object tracking: integrating deep learning and sensor fusion with Kalman filter

This research presents an integrated approach for object detection and tracking in autonomous perception systems, combining deep learning techniques for object detection with sensor fusion and field programmable gate array (FPGA-based) hardware implementation of the Kalman filter. This approach is suitable for applications like autonomous vehicles, robotics, and augmented reality. The study explores the seamless integration of pre-trained deep learning models, sensor data from a depth camera, real-sense D435, and FPGA-based Kalman filtering to achieve robust and accurate 3D position and 2D size estimation of tracked objects while maintaining low latency. The object detection and feature extraction are implemented on a central processing unit (CPU), and the Kalman filter sensor fusion with universal asynchronous receiver transmitter (UART) communication is implemented on a Basys 3 FPGA board that performs 8 times faster compared to the software approach. The experimental result provides the hardware resource utilization of about 29% of look-up tables, 6% of lookup table RAMs (LUTRAM), 15% of Flip-flops, 32% of Block-RAM, 38% of DSP blocks operating at 100 MHz, and 230400 baud rates for the UART. The whole FPGA design executes at 2.1 milliseconds, the Kalman filter executes at 240 microseconds, and the UART at 1.86 milliseconds.

Efficacy of acupuncture-related therapy in the treatment of primary dysmenorrhea: A network meta-analysis of randomized controlled trials

ObjectivesIn order to compare and rank the most effective acupuncture therapy for primary dysmenorrhea and provide evidence-based medical support for clinical treatment of this disease. MethodsA comprehensive search was conducted on China National Knowledge Infrastructure (CNKI), Wanfang Database, Information Chinese Journal Service Platform (VIP), China Biomedical Literature Service System (SinoMed), PubMed, Web of Science, Embase, and Cochrane Library databases from their inception to May 1, 2023. The Cochrane Collaboration Risk of Bias Tool was used to evaluate bias risk, and the GeMTC package of Stata 15.1 software and R 4.3.1 software was used to perform network Meta-analysis. Results70 studies were included, including 5772 patients with primary dysmenorrhea, involving 25 kinds of acupuncture techniques commonly used in clinic. The quality of the included literature was low, most of them did not mention the registration information of clinical trial centers, and the specific sample size estimation method was unclear. Some literature did not explain the specific random method, distribution concealment and blindness, so there was a certain publication bias and small sample effect. Results showed that for improving the clinical effective rate, the top three treatments were salt-separated moxibustion, massotherapy + acupoint patching, acupuncture + heat-sensitive moxibustion. In terms of reducing the visual analogue scale(VAS), the top three treatments were massotherapy + acupoint patching, acupuncture + acupoint patching and warm acupuncture. In terms of alleviating cox menstrual symptom scale (CMSS), the top three treatments were acupuncture + acupoint patching, acupoint patching and point embedding. In relieving TCM symptom score, the top three treatments were acupoint patching + heat-sensitive moxibustion, acupoint patching and moxibustion. ConclusionDifferent acupuncture therapies have more advantages than oral analgesics in improving the clinical effective rate, reducing VAS score, reducing CMSS score, and alleviating TCM symptom score. Among them, massage therapy + acupoint patching, acupuncture + acupoint patching and acupoint patching may be the best solutions for the treatment of primary dysmenorrhea. However, more large-sample, multi-center and high-quality randomized controlled trials are needed to demonstrate.

The effects of oxytocin administration on social and routinized behaviors in autism: A preregistered systematic review and meta-analysis

Oxytocin administration has demonstrated considerable promise for providing individualized support for autistic people. However, studies evaluating the effects of oxytocin administration on autistic characteristics have yielded inconsistent results. This systematic review and meta-analysis investigates the effect of oxytocin administration on social and routinized behaviors in autism using recently developed methods to accurately assess potential impact of effect size dependency and publication bias. Our frequentist meta-analysis yielded a significant summary estimate for the effect of oxytocin administration on social outcomes in autism (d = 0.22, p < 0.001). The summary effect size estimate for routinized behavior outcomes was not statistically significant (d = 0.14, p = 0.22), with follow up tests indicating that the effect size estimate was not either statistically equivalent (Z = -1.06, p = 0.2), assuming a smallest effect size of interest of 0.25. Frequentist and Bayesian assessments for publication bias, as well as results from Robust Bayesian meta-analysis of oxytocin effects on social outcomes in autism, indicated that the summary effect size might be inflated due to publication bias. Future studies should aim to reduce bias by preregistering analysis plans and to increase precision with larger sample sizes.

One‐Inflation and Zero‐Truncation Count Data Modelling Revisited With a View on Horvitz–Thompson Estimation of Population Size

SummaryEstimating the size of a hard‐to‐count population is a challenging matter. We consider uni‐list approaches in which the count of identifications per unit is the basis of analysis. Unseen units have a zero count and do not occur in the sample leading to a zero‐truncated setting. Because of various mechanisms, one‐inflation is often an occurring phenomena that can lead to seriously biased estimates of population size. The current work reviews some recent advances on one‐inflation and zero‐truncation modelling, and furthermore focuses here on the impact it has on population size estimation. The zero‐truncated one‐inflated and the one‐inflated zero‐truncated model is compared (also with the model ignoring one‐inflation) in terms of Horvitz–Thompson estimation of population size. The simulation work shows clearly the biasing effect of ignoring one‐inflation. Both models, the zero‐truncated one‐inflated and the one‐inflated zero‐truncated one, are suitable to model ongoing one‐inflation. It is also important to choose an appropriate base‐line distributional model. Finally, all models derived in the paper are illustrated on a number of case studies.

ESTIMATION POPULATION SIZE PECCARIES (TAYASSU PECARI), IN THE “RIO NEGRO” FARM - BRASILIAN PANTANAL, DURING 2003 - 2004, BY MEANS CAPTURE AND RECAPTURE MULTIPLE METHOD

The Tayassu pecari are predominantly distributed in conserved biomes and the maintenance of the species is very susceptible to human activity. In this context, it is important the search for methods of population estimation as well as apply robust methods that allow more accurate estimative. Therefore, this work aims to estimate the population of peccaries, on the Rio Negro farm (Aquidauana-MS) through the multiple captures and recapture method during the years 2003 and 2004, considering the assumption that the population is closed.    The estimate of the population size was obtained by the computational resampling and three procedures are compared. It was verified the marked difference between males and females for both years. The population size it was estimated in 134 and 192, however, by means the bootstrap method, a notable change in the distribution pattern of estimates was verified, being positively asymmetric and symmetric, for 2003 and 2004 respectively.