Key Measures Research Articles

Clinical pathway in Chinese county for lung cancer diagnosis and treatment (2023 edition)

Lung cancer (LC) is the leading cause of death among patients with cancer both in worldwide and China. China accounts for 11.4% of the total number of cancer cases and 18.0% of the total number of cancer deaths in the world. Standardizing the diagnosis and treatment of LC is a key measure to improve the survival rate of LC patients and reduce the mortality rate. However, county hospitals generally face the problem of inaccessibility to advanced diagnostic and treatment technologies. Therefore, when developing quality control standards and clinical diagnosis and treatment specifications, it is necessary to combine the actual situation of county hospitals and formulate specific recommendations. The recommendations of treatment measures also need to consider the approval status of indications and whether it is included in the National Reimbursement Drug List (NRDL), to ensure the access to medicines. In order to solve the above problems, based on existing guidelines at home and abroad and the clinical work characteristics of county hospitals, the first clinical pathway in Chinese county for LC diagnosis and treatment (2023 edition) was compiled. This pathway elaborated on the imaging diagnosis, pathological diagnosis, molecular testing, and precision medicine based on histological-pathological types, tumor-node-metastasis (TNM) classification, and molecular classification, developed different diagnosis and treatment processes for different types of LC patients. Simultaneously, according to the actual work situation of county hospitals, the diagnosis and treatment recommendations in clinical scenarios are divided into basic strategies and optional strategies for elaboration. The basic strategies are the standards that county hospitals must meet, while the optional strategies provide more choices for hospitals, which are convenient for county doctors to put into clinical practice. All the recommended diagnostic and treatment plans strictly refer to existing guidelines and consensus, ensuring the scientificity.

Monitoring to detect changes in water quality to meet policy objectives

Detecting change in water quality is key to providing evidence of progress towards meeting water quality objectives. A key measure for detecting change is statistical power. Here we calculate statistical power for all regularly (monthly) monitored streams in New Zealand to test the effectiveness of monitoring for policy that aims to decrease contaminant (phosphorus and nitrogen species, E. coli and visual clarity) concentrations to threshold levels in 5 or 20 years. While > 95% of all monitored sites had sufficient power and samples to detect change in nutrients and clarity over 20 years, on average, sampling frequency would have to double to detect changes in E. coli. Furthermore, to detect changes in 5 years, sampling for clarity, dissolved reactive phosphorus and E. coli would have to increase up to fivefold. The cost of sampling was predicted to increase 5.3 and 4.1 times for 5 and 20 years, respectively. A national model of statistical power was used to demonstrate that a similar number of samples (and cost) would be required for any new monitoring sites. Our work suggests that demonstrating the outcomes of implementing policy for water quality improvement may not occur without a step change in investment into monitoring systems. Emerging sampling technologies have potential to reduce the cost, but existing monitoring networks may also have to be rationalised to provide evidence that water quality is meeting objectives. Our study has important implications for investment decisions involving balancing the need for intensively sampled sites where changes in water quality occur rapidly versus other sites which provide long-term time series.

Copepod egg production estimates are biased by female mortality

AbstractEgg production rate (EPR, eggs ♀−1d−1) is a key measure of the nutritional state of metazoans such as copepods. Chlorophyll concentration is most often used to index responses of copepod vital rates to ambient food, but the fits to EPR are often poor. A known but unexplored bias in EPR estimates is the interaction between lifetime reproductive schedules of adult females and their mortality. We examined this interaction for Pseudodiaptomus forbesi, an abundant sac‐spawning calanoid copepod, in the San Francisco Estuary (SFE), USA. The reproductive schedule of P. forbesi comprises a latent period followed by a generally steady rate of clutch production. We used a Bayesian approach to analyze data from two studies which included 141 individual estimates of proportion ovigerous, eggs per clutch, and mortality from 28 sampling events. Proportion ovigerous contributed 95% of the variation in EPR. Mortality was 0.01–0.73 d−1 by one method and ~ 20% higher by another. When mortality was high, most females were young, few were past the latent stage, and ~ 25% were ovigerous. Proportion ovigerous up to 75% occurred only with mortality > ~0.1 d−1. Adjusting for mortality increased estimates of proportion ovigerous by 3%–88% (median 36%) and allowed for a relationship with chlorophyll, which could not be fitted to the raw data. However, the adjustments increased uncertainty. Given the large effort required, we recommend that others investigate this phenomenon for other species and environments before this adjustment should be recommended for estimating copepod egg production.

Immunity to Tick-Borne Encephalitis Virus NS3 Protein Induced with a Recombinant Modified Vaccinia Virus Ankara Fails to Afford Mice Protection against TBEV Infection.

Tick-borne encephalitis (TBE) is a serious neurological disease caused by TBE virus (TBEV). Because antiviral treatment options are not available, vaccination is the key prophylactic measure against TBEV infections. Despite the availability of effective vaccines, cases of vaccination breakthrough infections have been reported. The multienzymatic non-structural protein 3 (NS3) of orthoflaviviruses plays an important role in polyprotein processing and virus replication. In the present study, we evaluated NS3 of TBEV as a potential vaccine target for the induction of protective immunity. To this end, a recombinant modified vaccinia virus Ankara that drives the expression of the TBEV NS3 gene (MVA-NS3) was constructed. MVA-NS3 was used to immunize C57BL/6 mice. It induced NS3-specific immune responses, in particular T cell responses, especially against the helicase domain of NS3. However, MVA-NS3-immunized mice were not protected from subsequent challenge infection with a lethal dose of the TBEV strain Neudoerfl, indicating that in contrast to immunity to prME and NS1, NS3-specific immunity is not an independent correlate of protection against TBEV in this mouse model.

What We Know About Homeless Veterans With Other-than-honorable and Punitive Discharges: Data From the Grant and Per Diem (GPD) Program.

The U.S. DVA Grant and Per Diem (GPD) program funds community agencies to provide housing and case management services to Veterans experiencing homelessness. GPD is one of the few VA programs that can enroll Veterans with Other-than-Honorable (OTH) military discharges. The characteristics of OTH Veterans and their outcomes in GPD are unknown. We linked the Homeless Operations and Management Evaluation System database and VA Corporate Data Warehouse to identify Veterans with complete GPD enrollment and discharge data between 2018 and 2020. We categorized Veterans into three military discharge groups: Honorable, OTH, or Punitive. We evaluated key GPD process and outcomes measures: days enrolled in GPD, use of VA-funded emergency department care while in GPD, and whether a Veteran was successfully discharged from GPD, their housing status at program exit, employment status at program exit, and connection to mental health and substance abuse treatment at discharge. We conducted multivariable regressions to determine the adjusted association (controlling for demographics and comorbidities) between military discharge status and process and outcome measures. Among 21,646 Veterans in the GPD program, 20,517 (95%) were honorably discharged; 811 (4%) had an OTH discharge; and 318 (1%) had a Punitive discharge. There was no difference in GPD length of enrollment by discharge status. Compared to honorably discharged veterans, OTH and Punitive discharged Veterans were less likely to successfully exit GPD, more likely to be homeless and employed at program exit, and were less likely to have a VA-funded emergency department visit while in GPD and less likely to be connected to mental health care or substance use treatment at program exit. The GPD program serves hundreds of homeless Veterans with OTH and Punitive discharges every year, but they seem to be at greater risk for negative health and psychosocial outcomes and do not have the same access to VA services as other Veterans. These findings may inform policy considerations about expanding VA care and opportunities for community providers to serve Veterans with OTH and Punitive discharges.

Differences in broiler bone, gut, and tissue mineral parameters, as influenced by broilers grouped based on bodyweight

Context Variation in bodyweight is an undesirable feature in broiler production. Compositional differences between high- and low-bodyweight (BW) chicks in bone parameters and tissue mineral concentrations may provide insight into underlying causes of variation in BW. Aims This study aimed to investigate differences in bone measurements, tissue mineral concentrations, and gut parameters of Ross 308 male broiler chicks with identical diet and environmental conditions, but with distinct BW on Day 21 (D21). Methods A 3-week growth study was conducted involving 40 male, day-old chicks from the Ross 308 line. Chicks were reared in a deep-litter house with a controlled environment and the same commercial diet. On D21, BW data collected from chicks were used as a criterion to rank them into high- and low-BW groups (n = 11/group). Retrospective BW measurements were compared between groups. Birds were selected for assessing bone parameters, liver mineral profile, gut pH, gizzard neutral detergent fibre (NDF) and acid detergent fibre (ADF) contents. Key results Retrospective BW measurements among the high- and low-BW groups showed a consistent difference in BW between the two groups in early life. Tibial concentrations of manganese and strontium were significantly (P < 0.05) higher in the low-weight (LW) group relative to the high-weight (HW) group. Concentrations of manganese, cadmium and caesium in the liver tissue showed significant differences, with the LW group having higher concentration of these trace elements. The LW chicks had lower gizzard digesta pH, higher gizzard NDF and a statistical tendency for higher ADF concentrations compared to the HW group. Conclusions and implications In summary, broilers ranked on the basis of D21 BW showed differences in tibial bone, gut, and tissue mineral parameters. The LW group had lower gizzard pH and higher gizzard fibre content than did the HW group, which may be attributed to factors such as behavioural activities relating to more litter consumption among the LW group than the HW group.

Stochastic model of Alzheimer's disease progression using two-state Markov chains.

In 2016, Hao and Friedman developed a deterministic model of Alzheimer's disease progression using a system of partial differential equations. This model describes the general behavior of the disease, however, it does not incorporate the molecular and cellular stochasticity intrinsic to the underlying disease processes. Here we extend the Hao and Friedman model by modeling each event in disease progression as a stochastic Markov process. This model identifies stochasticity in disease progression, as well as changes to the mean dynamics of key agents. We find that the pace of neuron death increases whereas the production of the two key measures of progression, Tau and Amyloid beta proteins, decelerates when stochasticity is incorporated into the model. These results suggest that the non-constant reactions and time-steps have a significant effect on the overall progression of the disease.

Defining the Post-Operative Progression of Degenerative Scoliosis: An Analysis of Cases without Instrument Failure

ObjectiveThe expected post-operative changes in radiographic alignment over time remain poorly defined in patients surgically treated for degenerative scoliosis without instrument failure. Here we aim to describe the optimal natural progression of radiographic degenerative scoliosis at multiple timepoints in patients treated with a transforaminal lumbar interbody fusion (TLIF). MethodsWe identified an initial retrospective cohort of 114 patients treated with a TLIF for degenerative scoliosis between 2018 and 2022, with 39 patients ultimately meeting the imaging inclusion criteria. Patients who completed a primary or revision procedure with no evidence of instrument failure, proximal junctional kyphosis, or proximal junctional failure at last follow-up were included. Radiographic measurements of spinopelvic alignment were manually extracted from X-Ray scoliosis films. ResultsThirty-nine patients (mean age 62.6 ± 8.7, mean follow-up 2.9 years), of which 23 underwent a primary TLIF (Primary) and 16 a revision procedure (Revision), were analyzed. Patients in the Primary group experienced a durable improvement in Thoracolumbar Cobb angle (-25° ± 15°), Thoracic Kyphosis (10° ± 13°), and Pelvic Incidence/lumbar lordosis mismatch (PI/LL) (-19° ± 19°) through the first year of follow-up. In the Revision group, at one year follow-up, all measures of spinopelvic alignment except PI/LL mismatch had reverted to pre-operative levels. Thoracolumbar Cobb angle decreased to a significantly greater degree in the Primary group compared to the Revision group. ConclusionPrimary TLIF operations without instrument failure consistently improve radiographic outcomes in three key measures through the first year. For revision procedures, there appears to be modest radiographic benefit at follow-up.

Interventions and Hospital Characteristics Associated With Patient Experience: An Update of the Evidence.

Patient experience is a key hospital quality measure. We review and characterize the literature on interventions, care and management processes, and structural characteristics associated with better inpatient experiences as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Prior reviews identified several promising interventions. We update these previous efforts by including more recent peer-reviewed literature and expanding the review's scope to include observational studies of HCAHPS measures with process measures and structural characteristics. We used PubMed to identify U.S. English-language peer-reviewed articles published in 2017 to 2020 and focused on hospital patient experience. The two HCAHPS domains for which we found the fewest potential quality improvement interventions were Communication with Doctors and Quietness. We identified several modifiable processes that could be rigorously evaluated in the future, including electronic health record patient engagement functionality, care management processes, and nurse-to-patient ratios. We describe implications for future policy, practice, and research.

Feasibility of a cannabidiol-dominant cannabis-based medicinal product for the treatment of long COVID symptoms: A single-arm open-label feasibility trial.

To conduct a single-arm open-label feasibility trial of the safety and tolerability of a full-spectrum cannabidiol (CBD)-dominant cannabis-based medicinal product for treating the symptoms of long COVID. The treatment phase ran for a total of 21 weeks, followed by ~3weeks without the study drug. Participants received up to 3mL of MediCabilis 5% CBD Oil (50 mg CBD/mL, <2mg δ-9-tetrahydrocannabinol/mL) per day orally. Monthly patient-reported outcome measures of common symptoms and daily self-report of symptoms were collected via a smartphone app. Key measures of heart rate, activity, sleep and oxygen saturation were assessed using wearable technology. Twelve (1 male, 11 female) individuals diagnosed with long COVID were recruited into the trial. All participants adhered to the treatment protocol for the duration of the study and there were no serious adverse events. Response rates for the research assessments were high with over 90% completion of patient-reported outcome measures and daily self-report. The study drug was safe and well-tolerated, demonstrating feasibility of CBD-dominant cannabis-based medicinal products in individuals diagnosed with long COVID. However, there were limitations in research design related to recruitment strategy demonstrating a lack of feasibility in the approach implemented in this study. Future work with larger samples and incorporating a control group are required to test the efficacy of this treatment.

Development of a framework to assess the greenhouse gas mitigation potential from the adoption of low-carbon road vehicles in a hydrocarbon-rich region

This study developed a novel assessment framework to analyze long-term energy transition in the road transport sector in which various technology options, market shares, policy measures, costs, and greenhouse gas emissions are considered in a single framework analysis. A data-intensive model was developed with the Low Emissions Analysis Platform (LEAP) and used to analyze policy scenarios up to 2050 for Alberta, Canada, a hydrocarbon-rich province with an emission-intensive energy sector. Three key policy measures – carbon pricing, zero-emission vehicle sales mandate, and incentivization – were analyzed in nine individual and combined policy scenarios. The transition to both hydrogen fuel cell electric vehicles and battery electric vehicles was assessed for all vehicle categories. Each fuel's full energy supply chain was modelled, including resource extraction, conversion, transmission and distribution, and fuelling, allowing for final and primary energy analysis. The findings show that carbon price and zero-emission vehicle incentives do not effectively lower greenhouse gas emissions on their own; zero-emission vehicle mandates are needed to transition the sector to a low-carbon energy system. The system-wide greenhouse gas emission footprints of hydrogen and battery electric vehicles are significantly below conventional vehicles in all cases. Scenarios biased towards battery electric vehicles had the most favorable results. The greenhouse gas emission footprint of hydrogen vehicles supplied by auto-thermal reforming with 91% carbon capture was lower than for battery electric vehicles powered by a primarily natural gas-based power grid. The findings on the effectiveness of carbon prices, incentives, and vehicle mandates should be considered by government policymakers aiming to reduce greenhouse gas emissions, infrastructure planners, and other energy stakeholders.

Examining behavioral aspect of urban context effect on residential building energy use in Seoul – linking urban walkability to energy

Recent studies show that urban contextual form can influence building energy use intensity (EUI). While many studies have focused on the thermal properties of buildings and their environment, human behavior, a key determinant of EUI, is also influenced by the contextual form. Urban walkability, a key measure of urban vitality, can encourage outdoor activity and thus alter occupant behavior and outsource energy demand. This study examines the behavioral aspect of the context effect on residential building EUI in Seoul. Summer electricity, winter gas, annual electricity, and annual gas EUIs are individually analyzed. Two sets of analyses are executed for each energy type. First, walkability is used as a simple explanatory variable in an ordinary least squares regression model. Second, walkability is used as a moderator for the socioeconomic parameters of occupant density, occupant age, and real estate price. The results suggest that an increase in walkability can significantly reduce residential electricity EUI, and walkability can modify the influence of occupant density and occupant age on electricity EUI. However, walkability is only a marginally significant predictor of residential gas EUI, and all interactions with socioeconomic variables are insignificant. These findings highlight the importance of walkability as a means of linking urban form and building energy.

Teledermatology in Atopic Dermatitis: A Systematic Review.

Telemedicine use has been increasing especially during the COVID-19 pandemic. Various studies have outlined benefits of telemedicine including improving health equity, reducing wait times, and cost-effectiveness. Skin diseases such as atopic dermatitis (AD) may potentially be managed via telemedicine. However, there are no evidence-based recommendations for best practices in telemedicine for assessing AD patients. The objective of this review is to assess and summarize current evidence on telemedicine modalities for AD. This review will assess patient outcomes from various telemedicine models for AD. A review protocol was developed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement. Two reviewers independently screened potential studies and extracted data. Studies were included if they evaluated any telemedicine assessment for AD. Of 2719 identified records, 5 reports were included. Two reports used the direct-access online model, 1 used web-based consultation, 1 used e-health through a personal eczema portal, and 1 used an online platform and mobile application. All models were variations of the asynchronous, store and forward model. In all the included reports, teledermatology for the follow-up of patients with AD was effective and equivalent when compared to in-person appointments or standard treatment for their respective key outcome measures. However, it is unclear what the most effective teledermatology model is due to significant heterogeneity between studies. Teledermatology may serve as an important tool for triaging and follow-up of patients with AD. More studies are needed to determine which teledermatology models are most effective for virtual assessment of AD.

The long and short of it: a comprehensive assessment of axial length estimation in myopic eyes from ocular and demographic variables.

Axial length, a key measurement in myopia management, is not accessible in many settings. We aimed to develop and assess machine learning models to estimate the axial length of young myopic eyes. Linear regression, symbolic regression, gradient boosting and multilayer perceptron models were developed using age, sex, cycloplegic spherical equivalent refraction (SER) and corneal curvature. Training data were from 8135 (28% myopic) children and adolescents from Ireland, Northern Ireland and China. Model performance was tested on an additional 300 myopic individuals using traditional metrics alongside the estimated axial length vs age relationship. Linear regression and receiver operator characteristics (ROC) curves were used for statistical analysis. The contribution of the effective crystalline lens power to error in axial length estimation was calculated to define the latter's physiological limits. Axial length estimation models were applicable across all testing regions (p ≥ 0.96 for training by testing region interaction). The linear regression model performed best based on agreement metrics (mean absolute error [MAE] = 0.31 mm, coefficient of repeatability = 0.79 mm) and a smooth, monotonic estimated axial length vs age relationship. This model was better at identifying high-risk eyes (axial length >98th centile) than SER alone (area under the curve 0.89 vs 0.79, respectively). Without knowing lens power, the calculated limits of axial length estimation were 0.30 mm for MAE and 0.75 mm for coefficient of repeatability. In myopic eyes, we demonstrated superior axial length estimation with a linear regression model utilising age, sex and refractive metrics and showed its clinical utility as a risk stratification tool.

Bio-based ionic liquid filter with enhanced electrostatic attraction for outside filtration and inside collection of viral aerosols

Hazardous biological pathogens in the air pose a significant public environmental health concern as infected individuals emit virus-laden aerosols (VLAs) during routine respiratory activities. Mask-wearing is a key preventive measure, but conventional filtration methods face challenges, particularly in high humidity conditions, where electrostatic charge decline increases the risk of infection. This study introduces a bio-based air filter comprising glycine ionic liquids (GILs) and malleable polymer composite (GILP) with high polarity and functional group density, which are wrapped around a melamine-formaldehyde (MF) resin skeleton, forming a conductive, porous GIL functionized ionic network air filter (GILP@MF). When subjected to low voltage, the GILP@MF composite efficiently captures VLAs including nanoscale virus particles through the enhanced electrostatic attraction, especially in facing high humidity bioaerosols exhaled by human body. The filtration/collection efficiency and quality factor can reach 98.3% and 0.264 Pa−1 at 0.1 m s−1, respectively. This innovative filter provides effective VLA protection and offers potential for non-invasive respiratory virus sampling, advancing medical diagnosis efforts.

The High Energy X-ray Probe (HEX-P): probing accretion onto stellar mass black holes

Accretion is a universal astrophysical process that plays a key role in cosmic history, from the epoch of reionization to galaxy and stellar formation and evolution. Accreting stellar-mass black holes in X-ray binaries are one of the best laboratories to study the accretion process and probe strong gravity—and most importantly, to measure the angular momentum, or spin, of black holes, and its role as a powering mechanism for relativistic astrophysical phenomena. Comprehensive characterization of the disk-corona system of accreting black holes, and their co-evolution, is fundamental to measurements of black hole spin. Here, we use simulated data to demonstrate how key unanswered questions in the study of accreting stellar-mass black holes will be addressed by the High Energy X-ray Probe (HEX-P). HEX-P is a probe-class mission concept that will combine high spatial resolution X-ray imaging and broad spectral coverage (0.2–80 keV) with a sensitivity superior to current facilities (including XMM-Newton and NuSTAR) to enable revolutionary new insights into a variety of important astrophysical problems. We illustrate the capability of HEX-P to: 1) measure the evolving structures of black hole binary accretion flows down to low (≲ 0.1%) Eddington-scaled luminosities via detailed X-ray reflection spectroscopy; 2) provide unprecedented spectral observations of the coronal plasma, probing its elusive geometry and energetics; 3) perform detailed broadband studies of stellar mass black holes in nearby galaxies, thus expanding the repertoire of sources we can use to study accretion physics and determine the fundamental nature of black holes; and 4) act as a complementary observatory to a range of future ground and space-based astronomical observatories, thus providing key spectral measurements of the multi-component emission from the inner accretion flows of black hole X-ray binaries.

Democratic Measures for Curbing Electoral Violence in Kanyama Constituency of Lusaka District, Zambia

In Kanyama Constituency of Lusaka District Zambia, physical violence especially during the election cycles of 2011, 2016 and 2021 may appear to have escalated. If violence and tyranny are allowed to take root in any democratic state, it may deprive the people of the capacity to resist bad governance because of the pervasive atmosphere of terror, fear and insecurity. Based on the foregoing context, this article explored Democratic measures that can be used to curb electoral violence in Kanyama Constituency of Lusaka District, Zambia. The article employed qualitative approach with a case study design. Twenty eight (28) participants were recruited for this research and they provided Primary data. The main findings of this research were that good political culture in the electoral process, enhancing civic and voter education, fair application of the law, formation and enhancing of youth empowerment programmes, responsive leadership both at party and national levels are the key democratic measures that can be used to curb electoral violence. Equally, having independent government institutions that are mandated to conduct elections is key as their operations may not be ill influenced by external forces. The article recommends that Political parties and constituencies should treat election period as an opportunity to elect credible leaders through democratic means than a possibility to intimidate those with divergent views.

Thinking flexibly about who digital mental health interventions are for and how they should be evaluated and used: Commentary on McClure et al.(2023).

Less than 20% of individuals with eating disorders (EDs) ever receive treatment. Digital interventions offer one solution to this problem and have demonstrated promise, but there is a need to understand predictors, moderators, and mediators of response, which McClure and colleagues aimed to do in their systematic review. Yet their review also raised key definitional and measurement issues pertinent to conducting research on digital interventions for EDs and other mental health problems, which may have impacted the conclusions drawn and which may stem from applying what has "always been done" in research on more traditional psychological interventions to research on digital interventions. This commentary suggests that digital interventions for EDs and other mental health problems should not be conceived as a 1:1 replacement for individual psychotherapy, and rather, these interventions should be viewed as one option in a wide-ranging menu of services that should be available, as the reality is that not all individuals want or can access the same type of care. If we accept that digital interventions need not be viewed as a 1:1 replacement for psychotherapy, then it logically follows that we should not evaluate or use these two approaches in the exact same manner.

Perineuronal nets are associated with decision making under conditions of uncertainty in female but not male mice

Biological sex influences decision-making processes in significant ways, differentiating the responses animals choose when faced with a range of stimuli. The neurobiological underpinnings that dictate sex differences in decision-making tasks remains an important open question, yet single-sex studies of males form most studies in behavioural neuroscience. Here we used female and male BALB/c mice on two spatial learning and memory tasks and examined the expression of perineuronal nets (PNNs) and parvalbumin interneurons (PV) in regions correlated with spatial memory. Mice underwent the aversive active place avoidance (APA) task or the appetitive trial-unique nonmatching-to-location (TUNL) touchscreen task. Mice in the APA cohort learnt to avoid the foot-shock and no differences were observed on key measures of the task nor in the number and intensity of PNNs and PV. On the delay but not separation manipulation in the TUNL task, females received more incorrect trials and less correct trials compared to males. Furthermore, females in this cohort exhibited higher intensity PNNs and PV cells in the agranular and granular retrosplenial cortex, compared to males. These data show that female and male mice perform similarly on spatial learning tasks. However, sex differences in neural circuitry may underly differences in making decisions under conditions of uncertainty on an appetitive task. These data emphasise the importance of using mice of both sexes in studies of decision-making neuroscience.

A Method for Measuring Shaft Diameter Based on Light Stripe Image Enhancement.

When the workpiece surface exhibits strong reflectivity, it becomes challenging to obtain accurate key measurements using non-contact, visual measurement techniques due to poor image quality. In this paper, we propose a high-precision measurement method shaft diameter based on an enhanced quality stripe image. By capturing two stripe images with different exposure times, we leverage their different characteristics. The results extracted from the low-exposure image are used to perform grayscale correction on the high-exposure image, improving the distribution of stripe grayscale and resulting in more accurate extraction results for the center points. The incorporation of different measurement positions and angles further enhanced measurement precision and robustness. Additionally, ellipse fitting is employed to derive shaft diameter. This method was applied to the profiles of different cross-sections and angles within the same shaft segment. To reduce the shape error of the shaft measurement, the average of these measurements was taken as the estimate of the average diameter for the shaft segment. In the experiments, the average shaft diameters determined by averaging elliptical estimations were compared with shaft diameters obtained using a coordinate measuring machine (CMM) the maximum error and the minimum error were respectively 18 μm and 7 μm; the average error was 11 μm; and the root mean squared error of the multiple measurement results was 10.98 μm. The measurement accuracy achieved is six times higher than that obtained from the unprocessed stripe images.