Volume Changes Research Articles

Heterogeneity in response to neoadjuvant radiotherapy between soft tissue sarcoma histotypes: associations between radiology and pathology findings.

To investigate imaging biomarkers of tumour response by describing changes in imaging and pathology findings after neoadjuvant radiotherapy (nRT) and exploring their correlations. Tumour diameter, volume, and tumour-to-muscle signal intensity (SI) ratio were collected before and after radiotherapy in a cohort of 107 patients with intermediate/high-grade STS and were correlated with post-radiotherapy pathology findings (percentage of necrosis, viable cells, and fibrosis) using Spearman Rank test. Pathological complete response (pCR) was defined as no residual viable cells present, whereas the presence of < 10% viable cells was defined as near-complete pathologic response (near-pCR). Median amount of necrosis, viable cells, and fibrosis after nRT were 10%, 30%, and 25%, respectively. 7% of patients achieved pCR and 22% near-pCR. No changes in tumour volume were found except for subtypes myxoid liposarcoma (mLPS) -Δ54.47%, undifferentiated pleomorphic sarcoma (UPS) +Δ24.22% and dedifferentiated liposarcoma (dLPS) +Δ35.91%. The median change of tumour-to-muscle SI ratio was -19.7% for the entire population, whereas it was -19.55% and -36.26% for UPS and mLPS, respectively. Correlations (positive and negative) were found between change in volume and the presence of necrosis or fibrosis (rs = 0.44; rs = -0.44), as well as between tumour-to-muscle SI ratio and viable cells (rs = 0.33) or fibrosis (rs = -0.28). STS displays extensive heterogeneity in response patterns after nRT. In some subgroups, particularly UPS and mLPS, tumour size changes or tumour-to-muscle SI ratio are significantly linked with the percentage of viable cells, fibrosis, or necrosis. Question How do primary soft tissue sarcomas (STS) respond to neoadjuvant therapy, and what correlations exist between pathological findings and imaging characteristics in assessing treatment response? Findings mLPS shrank post-nRT; undifferentiated pleomorphic and dLPSs enlarged. Volume increase correlated with higher necrosis and lower fibrosis; tumour-to-muscle intensity ratio correlated with viable cells. Clinical relevance These findings emphasise the extensive heterogeneity in STS response to nRT across different subtypes. Preoperative correlations between tumour volume and SI changes with necrosis, fibrosis, and viable cells can aid in more precise treatment assessment and prognostication.

Serotonin enhances neurogenesis biomarkers, hippocampal volumes, and cognitive functions in Alzheimer’s disease

Research on serotonin reveals a lack of consensus regarding its role in brain volume, especially concerning biomarkers linked to neurogenesis and neuroplasticity, such as ciliary neurotrophic factor (CNTF), fibroblast growth factor 4 (FGF-4), bone morphogenetic protein 6 (BMP-6), and matrix metalloproteinase-1 (MMP-1) in Alzheimer’s disease (AD). This study aimed to investigate the influence of serotonin on brain structure and hippocampal volumes in relation to cognitive functions in AD, as well as its link with biomarkers like CNTF, FGF-4, BMP-6, and MMP-1. Data from 133 ADNI participants with AD included cognitive assessments (CDR-SB), serotonin measurements (Biocrates AbsoluteIDQ p180 kit, UPLC-MS/MS), and neurotrophic factors quantified via multiplex proteomics. Gray matter volume changes were analyzed using Voxel-Based Morphometry (VBM) with MRI. Statistical analyses employed Pearson correlation, bootstrap methods, and FDR-adjusted p-values (< 0.05 or < 0.01) via the Benjamini–Hochberg procedure, alongside nonparametric methods. The analysis found a positive correlation between serotonin levels and total brain (r = 0.229, p = 0.023) and hippocampal volumes (right: r = 0.186, p = 0.032; left: r = 0.210, p = 0.023), even after FDR adjustment. Higher serotonin levels were linked to better cognitive function (negative correlation with CDR-SB, r = −0.230, p = 0.024). Notably, serotonin levels were positively correlated with BMP-6 (r = 0.173, p = 0.047), CNTF (r = 0.216, p = 0.013), FGF-4 (r = 0.176, p = 0.043), and MMP-1 (r = 0.202, p = 0.019), suggesting a link between serotonin and neurogenesis and neuroplasticity. However, after adjusting for multiple comparisons and controlling for confounding factors such as age, gender, education, and APOE genotypes (APOE3 and APOE4), none of the correlations of biomarkers remained statistically significant. In conclusion, increased serotonin levels are associated with improved cognitive function and increased brain volume. However, associations with CNTF, FGF-4, BMP-6, and MMP-1 were not statistically significant after adjustments, highlighting the complexity of serotonin’s role in AD and the need for further research.Graphical

Vascular volume changes in radiological patterns of usual interstitial pneumonia in patients with type 2 diabetes

ObjectiveThis research primarily focuses on exploring the changes in intrapulmonary vascular volume (IPVV) in radiological patterns of usual interstitial pneumonia (UIP) associated with Type 2 Diabetes Mellitus (T2DM), thereby inferring the possible mechanisms of the co-occurrence of diabetes and UIP patterns.MethodsThin-layer data were post-processed on the basis of high-resolution computed tomography (HRCT) and quantitatively assessed for IPVV. Changes in IPVV were compared between T2DM combined with UIP modality and T2DM non-UIP modality. Correlations between UIP patterns and various markers and confounders, including IPVV, were determined via logistic regression analysis. In this study, the potential of IPVV as a predictor for UIP presence was analysed through the application of subject operating characteristic curve analysis.ResultsIn patients with T2DM, the IPVV demonstrated smaller size in those with combined UIP patterns compared to T2DM patients without UIP patterns (164.4 ± 68.7 vs 202.9 ± 76.3 mL, P = 0.005). We detected a positive correlation between IPVV levels and several variables, including fasting plasma glucose (FPG) (r = 0.404, P < 0.0001), glycated hemoglobin (HbA1c) (r = 0.225, P = 0.022), serum uric acid (SUA) (r = 0.332, P = 0.0007) and HRCT scores (r = 0.288, P = 0.024). Conversely, negative correlations were noted with total cholesterol (TC) (r = –0.220, P = 0.028) and cystatin-C (Cys-C) (r = –0.215, P = 0.038). Multivariate logistic regression analysis identified independent associations between the presence of UIP and several factors: IPVV, age, smoking history, and FPG. In assessing the combined UIP pattern among T2DM patients, IPVV levels exhibited a sensitivity of 70.5% and a specificity of 58.5%, generating an AUC of 0.645.ConclusionIn individuals diagnosed with T2DM alongside UIP, a substantial decline in IPVV was documented. This diminution correlates with the presence of UIP, suggesting that IPVV may serve as a potent biomarker for detecting UIP patterns in individuals with T2DM. This may suggest that the mechanism behind the co-occurrence of T2DM with UIP patterns is attributed to alterations in the pulmonary microvasculature, potentially representing one of the vascular complications associated with diabetes.

Bone matching versus tumor matching in image-guided carbon ion radiotherapy for locally advanced non-small cell lung cancer

Background and purposeThis study evaluates the dosimetric impact of tumor matching (TM) and bone matching (BM) in carbon ion radiotherapy for locally advanced non-small cell lung cancer.Materials and methodsForty patients diagnosed with locally advanced non-small cell lung cancer were included in this study. TM and BM techniques were employed for recalculation based on re-evaluation computed tomography (CT) images of the patients, resulting in the generation of dose distributions: Plan-T and Plan-B, respectively. These distributions were compared with the original dose distribution, Plan-O. The percentage of the internal gross tumor volume (iGTV) receiving a prescription dose greater than 95% (V95%) was evaluated using dose-volume parameters. Statistical analysis was performed using a paired signed-rank sum test. Additionally, the study investigated the influence of tumor displacement, volume changes, and rotational errors on target dose coverage.ResultsThe median iGTV V95% values for the Plan-O, Plan-T, and Plan-B groups were 100%, 99.93%, and 99.60%, respectively, with statistically significant differences observed. TM demonstrated improved target dose coverage compared to BM. Moreover, TM exhibited better target coverage in case of larger tumor displacement. TM’s increased adjustability in rotation directions compared to BM significantly influenced dosimetric outcomes, rendering it more tolerant to variations in tumor morphology.ConclusionTM exhibited superior target dose coverage compared to BM, particularly in cases of larger tumor displacement. TM also demonstrated better tolerance to variations in tumor morphology.

Impact of data structure types and spatial resolution on landslide volumetric change measurements

Terrain is a dynamic component of the landscape, subject to rapid changes, particularly in scenarios such as landslides. This study investigates how the spatial resolution and data structure of digital terrain models (DTMs) influence the estimation of landslide volume changes. We selected a landslide formed by the undercutting action of the Belá River in Slovakia as our research site. Our findings indicate that raster data structures, across various spatial resolutions, generally yield more consistent volume estimates compared to 3D mesh data structures. Nonetheless, at higher spatial resolutions (0.1 m and 0.25 m), the 3D mesh data structure demonstrates superior capability in capturing detailed terrain features, resulting in more precise volume estimations of the landslide.

Vascular risk factors are associated with grey matter atrophy in secondary progressive multiple sclerosis.

Comorbidities including vascular risk factors can be associated with whole and regional brain atrophy in multiple sclerosis (MS). This has been examined in mixed MS cohorts in prospective or observational studies; however, the association between vascular comorbidities (VCM) in secondary progressive MS (SPMS) and brain atrophy has been less well studied. The aim was to investigate the cross-sectional and longitudinal association between VCM, comorbidity burden and brain atrophy in SPMS. Post hoc analysis of 445 participants from the MS-Secondary Progressive multi-arm trial (MS-SMART)-a multi-arm multicentre phase-2b randomised placebo-controlled trial of three agents in SPMS (NCT01910259). VCM (hypertension, hyperlipidaemia) but also asthma, hypothyroidism and osteoporosis were recorded. Regional and whole brain volume (WBV), and percentage brain volume change were calculated using SIENAX and SIENA, respectively. Multiple linear regression was used to investigate the cross-sectional and longitudinal relationships between VCM, overall comorbidity count and whole brain, grey matter (GM) and white matter (WM) atrophy. The cohort was predominantly female (67%), mean age 55 with median EDSS 6.0. In total, 13% and 9% had hypertension and hyperlipidaemia, respectively. In cross-sectional regression models, VCM was associated with decreased cortical GM volume [(hypertension β = -0.30, 95%CI -0.54 to -0.06, p = 0.01) (hyperlipidaemia β = -0.37, 95%CI -0.64 to -0.09, p = 0.008)]; but not WBV. Having ≥2 comorbidities was also associated with decreased cortical GM volume (β = -0.36, 95%CI -0.61 to -0.10, p = 0.007). No relationship was observed between VCM/comorbidity count and whole brain or GM atrophy rate over 96 weeks. People with SPMS with VCM or increased overall comorbidity burden showed reduced whole brain and especially cortical grey matter volumes, but no significant impact on subsequent 2-year atrophy rate was detected.

Piezoresistive responses of CNT cement composites under different load characteristics

ABSTRACT The piezoresistive response of carbon nanotube-embedded cementitious composites (CNT-CC) can be used to evaluate the stress level and monitor traffic flow on transportation infrastructure. However, the effect of load characteristics on the piezoresistive response of CNT-CC is unclear. In this study, the influence of CNT content and load characteristics on the piezoresistive performance of CNT-CC is investigated by controlling the amplitude and rate of loading. Based on the principles associated with composite volume change, electron hopping and conductive networks, the fractional change in resistivity (FCR) of the composite was calculated theoretically and compared with experimental findings. The results show that the greatest electrical conductivity is achieved when the CNT content is 0.2%, and the addition of steel slag reduces the CNT content for achieving the optimal piezoresistive response but does not improve the piezoresistive performance. The load characteristics have an important influence on the piezoresistive response, FCR is mainly affected by the load amplitude and the increase in the loading rate will deteriorate the piezoresistive characteristics of CNT-CC. The calculated piezoresistive response is basically accurate and verifies the piezoresistive mechanism.

Relational Resonance and Content Creation

This study investigates how tie formation shapes the production of user-generated content on social media, offering insights into enhancing user engagement and alleviating social media fatigue. We conceptualize tie formation as a relationship codevelopment process involving a tie initiator and a respondent. Drawing on social psychology literature, we propose a framework that traces how initiators’ social cognition evolves throughout this process—from proactively extending an inviting social tie to receiving a responsive one in return. Central to our framework is a perceptual mechanism we term relational resonance, which fosters intrinsic motivation and prompts initiators to adjust their content creation. Using data from YouTube, we develop a Bayesian hierarchical model to identify individual creators’ content adjustments, measured by changes in video volume and viewer engagement. Our results reveal that while initiators tend to reduce content production after receiving a responsive tie, the videos they create generate higher engagement, with “like” and “subscribe” rates increasing by 1.1 and 2.9 percentage points, respectively. Remarkably, the receipt of a responsive tie leads to average weekly increases of 66 likes and 183 subscriptions even after accounting for the decrease in video volume, reinforcing the “quality over quantity” principle in content creation strategies. An online experiment further elucidates the mechanism underlying the observed adjustment behavior, providing robust validation for our proposed framework. Implications for research and practice are discussed. This paper was accepted by D.J. Wu, information systems. Funding: T. Song was supported by National Natural Science Foundation of China [Grants 71902114 and 72372101]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00830 .

Surface elevation changes of the Patagonian Icefields: Insights from an ICESat(-2) crossover analysis

Abstract. The Patagonian Icefields, located in southernmost South America, are the biggest extrapolar concentration of ice in the southern hemisphere. As such, they are of strategic and environmental importance, which will increase even more as freshwater reserves become scarcer around the world. This encourages a detailed study of the conditions and temporal evolution of the icefields, determining with high precision the area, volume and mass changes of the glaciers that compose the icefields. However, glaciological in-situ measurements are unable to provide results representative for the entire region, because of the difficult access to the icefields, harsh physical conditions, and the large spatio-temporal variability among the Patagonian glaciers. While all regional scale studies of the Patagonian Icefields find a significant mass loss, different methods arrive at different rates. This calls for the inclusion of additional, independent observation techniques, and laser satellite altimetry is a prime candidate for it. Satellite altimetry, traditionally employed for sea-level monitoring, determines accurate surface elevations along the ground track of the satellite's repeat-orbit. Therefore, most altimetry missions do not provide a continuous areal coverage, impeding the separation between spatial and temporal elevation changes. Crossover analysis isolates temporal variations in the intersections of tracks observed at different epochs. In this work, ICESat and ICESat-2 data is used, and a crossover analysis is performed, in order to determine seasonal and long-term elevation changes of the ice surface of the Patagonian Icefields. The results are presented and discussed, along with an explanation of the applied methods.

Optical coherence tomography in secondary progressive multiple sclerosis: cross-sectional and longitudinal exploratory analysis from the MS-SMART randomised controlled trial

BackgroundOptical coherence tomography (OCT) inner retinal metrics reflect neurodegeneration in multiple sclerosis (MS). We explored OCT measures as biomarkers of disease severity in secondary progressive MS (SPMS).MethodsWe investigated people with...

Adaptive stiffness structures via additively manufactured fluid accumulators

Abstract Lightweight mechanical structures often have low stiffness that prevents their use in structural applications. The demand for lightweight mechanical structures that operate under wide-ranging loading conditions motivates the development of adaptive stiffness structures. The ability to control the stiffness of a mechanical structure allows for tailored static and dynamic properties, including resonant frequencies. However, adaptive stiffness structures that are low cost, offer design flexibility, and can be additively manufactured still remain a challenge. To this end, we introduce adaptive stiffness devices called Pressure-actuated Adaptive Structural Cells (PASCells) with controllable axial stiffness. The proposed PASCells consist of four, flat arches that seal at the edges to contain a working fluid. The axial stiffness of the PASCell increases when the enclosed working fluid is compressed due to volume reduction under an axial load. Axial compression of a PASCell creates large internal volume change and internal pressure that resists this compression, increasing stiffness when the fluid volume is constrained by, for example, closing an outlet valve. Designed for additive manufacturing, PASCells can be integrated with mechanical structures to enable adaptive stiffness. In this paper, we derive the governing equations that describe the static deformation of PASCells under an axial load and internal pressurization and experimentally evaluate the stiffness of the PASCells in empty (or open valve) and filled (or closed valve) configurations. Single, series-connected, and parallel-connected PASCells are additively manufactured and experimentally tested, verifying the model predictions, and experimentally demonstrating a 70% stiffness increase.

Electroconvulsive therapy-specific volume changes in nuclei of the amygdala and their relationship to long-term anxiety improvement in depression.

Electroconvulsive therapy (ECT) is one of the most effective treatments for depression. ECT induces volume changes in the amygdala, a key center of anxiety. However, the clinical relevance of ECT-induced changes in amygdala volume remains uncertain. We hypothesized that nuclei-specific amygdala volumes and anxiety symptoms in depression could explain the clinical correlates of ECT-induced volume changes. To test this hypothesis, we enrolled patients with depression who underwent ECT (N = 20) in this multicenter observational study and collected MRI data at three time points: before and after treatment and a 6-month follow-up. Patients who received medication (N = 52), cognitive behavioral therapy (N = 63), or transcranial magnetic stimulation (N = 20), and healthy participants (N = 147) were included for comparison. Amygdala nuclei were identified using FreeSurfer and clustered into three subdivisions to enhance reliability and interpretability. Anxiety symptoms were quantified using the anxiety factor scores derived from the Hamilton Depression Rating Scale. Before treatment, basolateral and basomedial subdivisions of the right amygdala were smaller than those of healthy controls. The volumes of the amygdala subdivisions increased after ECT and decreased during the follow-up period, but the volumes at 6-month follow-up were larger than those observed before treatment. These volume changes were specific to ECT. Long-term volume changes in the right basomedial amygdala correlated with improvements in anxiety symptoms. Baseline volumes in the right basolateral amygdala correlated with long-term improvements in anxiety symptoms. These findings demonstrate that clinical correlates of ECT-induced amygdala volume changes are existent, but in a nucleus and symptom-specific manner.

Assessment of changes in environmental pollution by road noise using a scalar measure

The article addresses the issue of assessing the impact of road rebuilding on traffic noise pollution. To assess noise hazards, parameters expressed on the decibel scale were used, and a new measure was proposed - a scalar reference that compares the sound level value to the recommended threshold. This measure is based on Weber Fechner's law, which relates to human perception of changes in sound levels. It was derived through the decibel algebra applied to measurement results and is called the “coefficient of exceedance of the recommended sound level”. Its usefulness was verified by analyzing the results of measurements of traffic and noise parameters before and two years after the reconstruction of a section of the national road in Kielce. An assessment was made of traffic volume, vehicle speed, and road vehicle noise. The analysis evaluated the absolute values, variability and uncertainty of results obtained for the entire year, Fridays and Sundays. Significant differences in traffic parameter values were observed between the lanes entering and leaving the city on weekdays and weekends. The analysis showed a 28% increase in traffic volume following the road reconstruction. The current measure, which compares the difference in noise levels before and after the road reconstruction, indicates that while noise levels have decreased, they still exceed the normative values. For the same parameters, the median coefficient of exceedance decreased by approximately 17%, and the maximum coefficient of exceedance decreased by approximately 15%. The diagnostic usefulness of the coefficient of exceedance was further assessed using noise simulations based on the Cnossos-EU model. These simulations showed the high sensitivity of the proposed scalar noise measure to changes in vehicle speed and traffic volume. The simulations also indicated that to meet the Polish noise normative values, traffic volume would need to reduced by 50%, and the vehicle speed would need to be capped at 50 km/h. Additionally, the simulations suggested that even more stringent traffic restrictions would be necessary to meet the World Health Organization's noise recommendations.

Price Impact for Different Market Models in Cryptocurrency Trading

Price impact in cryptocurrency trading plays a crucial role in understanding market dynamics and liquidity. The study presents a detailed mathematical analysis of price impact across three different market models: constant sum, constant product, and order book. Each model provides a unique perspective on how asset prices are influenced by trade execution, market depth, and available liquidity. By examining these models, the analysis highlights the relationship between trade volume and price changes, offering important insights into how large transactions affect the stability and behavior of prices in various liquidity environments. The results are relevant for traders and investors aiming to optimize their strategies in volatile markets, as well as for regulators seeking to mitigate the systemic risks posed by large-scale trades in the cryptocurrency space.

Empagliflozin to prevent worsening of left ventricular volumes and systolic function after myocardial infarction (EMPRESS-MI).

Patients with a reduced left ventricular ejection fraction (LVEF) following an acute myocardial infarction (MI) are considered to be at risk of progressive adverse cardiac remodelling which can lead to the development of heart failure and death. The early addition of a sodium-glucose cotransporter 2 (SGLT2) inhibitor to standard treatment may delay or prevent progressive adverse remodelling in these patients. We performed a randomized, double-blind, placebo-controlled, multicentre trial using cardiovascular magnetic resonance imaging (MRI), in patients with left ventricular systolic dysfunction following MI. Eligible patients were those ≥12 h and ≤14 days following acute MI, with an LVEF <45% by MRI. Patients were randomized to empagliflozin 10 mg once a day or matching placebo. The primary outcome was the change in left ventricular end-systolic volume indexed to body surface area (LVESVI) from baseline to 24 weeks. Secondary outcomes included measures of left ventricular and atrial volumes, left ventricular mass, LVEF, and high-sensitivity troponin I (hs-TnI) and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP) concentrations. From October 2022 to January 2024, 105 eligible patients were randomized. The mean age was 63 ± 11 years and 90 (87%) were male. The mean LVEF was 34.8 ± 6.0%. In the placebo group, LVESVI decreased by 7.8 ± 16.3 ml/m2, left ventricular end-diastolic volume index (LVEDVI) did not change (-0.3 ± 18.7 ml/m2) and LVEF increased by 8.5 ± 7.4% at 24 weeks from baseline. Empagliflozin did not affect the change in LVESVI from baseline to 24 weeks (between-group difference = 0.3 ml/m2, 95% confidence interval -5.2 to 5.8; p = 0.92). Compared with placebo, empagliflozin also had no effect on LVEDVI, LVEF, left atrial volume index, left ventricular mass index, NT-proBNP, or hs-TnI, but did increase haematocrit and reduced uric acid and weight. In patients with left ventricular systolic dysfunction after an acute MI receiving contemporary standard of care, treatment with empagliflozin had no effect on cardiac volumes or LVEF compared with placebo. Progressive adverse cardiac remodelling did not occur in the majority of patients.

Maternal investment, body condition and calf growth in humpback whales.

Given recent declines in North Pacific humpback whale (Megaptera novaeangliae) reproductive output and calf survival, there is additional urgency to better understand how mother-calf pairs allocate energy resources across their migratory cycle. Here, unoccupied aerial system (UAS; or drone) photogrammetry was used to quantify the body size and condition (BC) of humpback whales on their Hawai'i (HI) breeding and Southeast Alaska (SEAK) feeding grounds. Between 2018 and 2022, we collected 2410 measurements of 1659 individuals. Rates of change in body volume (BV) and length (BL) were quantified using 803 repeat measurements of 275 individuals. On average, HI mothers lost 0.106m3 or 96.84kgday-1 while fasting, equivalent to 2641MJday-1 or 830kg of krill and 424kg of Pacific herring daily. HI calf BV and BL increased by 0.035m3 and 2.6cmday-1, respectively. In SEAK, maternal BV increased by 0.015m3 or 14.54kgday-1 (367MJday-1), while calf BV and BL increased by 0.039m3 and 0.93cmday-1, respectively. Maternal investment in calf growth correlated with both female BL and BC, with larger females producing larger, faster-growing calves. Finally, using 330 measurements from 156 females, we quantified differences in BC increase over four feeding seasons. Lactating females exhibited an average BC increase of 6.10%, half that of unclassified females (13.51%) and six times lower than pregnant females (37%). These findings represent novel insights into the life history of humpback whales across their migratory cycle, providing key baseline data for bioenergetic models elucidating the effects of anthropogenic disturbance and rapidly changing ocean ecosystems. KEY POINTS: On average, Hawai'i (HI) mothers lost 0.106m3 or 96.84kgday-1, equivalent to 2641MJday-1. Over a 60day period, this corresponded to an estimated mean energetic cost of 158GJ, or ≈50tons of krill or ≈25tons of Pacific herring, surpassing the total energetic cost of gestation estimated for humpback whales of similar length. In Southeast Alaska (SEAK), maternal body volume (BV) increased by just 0.015m3 or 14.54kgday-1 (367MJday-1). Further, SEAK lactating females showed the slowest rates of growth in body width and condition over a 150day period compared to non-lactating females. Maternal investment in calf growth correlated with both maternal length and body condition, with larger females producing larger, faster-growing calves. In HI, however, the ratio between maternal BV lost and calf BV gained (conversion efficiency) was relatively low compared to other mammals.

A multi-stage feature selection method to improve classification of potential super-agers and cognitive decliners using structural brain MRI data-a UK biobank study.

Cognitive aging is described as the age-related decline in areas such as memory, executive function, reasoning, and processing speed. Super-Agers, adults over 80 years old, have cognitive function performance comparable to middle-aged adults. To improve cognitive reserve and potentially decrease Alzheimer's disease (AD) risk, it is essential to contrast changes in regional brain volumes between "Positive-Agers" who have superior cognitive performance compared to their age peers but are not 80 years old yet and aging adults who show cognitive decline (i.e., "Cognitive Decliners"). Using longitudinal cognitive tests over 7-9 years in UK Biobank, principal component analysis (PCA) was first applied to four cognitive domains to create a general cognition (GC) composite score. The GC score was then used to identify latent cognitive groups. Given cognitive groups as the target variable and structural magnetic resonance imaging (sMRI) data and demographics as predictors, we developed a multi-stage feature selection algorithm to identify the most important features. We then trained a Random Forest (RF) classifier on the final set of 54 selected sMRI and covariate predictors to distinguish between Positive-Agers and Cognitive Decliners. The RF model achieved an AUC of 73%. The top 6 features were age, education, brain total surface area, the area of pars orbitalis, mean intensity of the thalamus, and superior frontal gyrus surface area. Prediction of cognitive trajectory types using sMRI may improve our understanding of successful cognitive aging.

Hydrological impacts of the conservation reserve program—a mini review

The Conservation Reserve Program (CRP) is a voluntary land conservation initiative implemented by the U.S. Department of Agriculture (USDA). The program aims to improve the natural environment and enhance wildlife by incentivizing landowners to convert sensitive agricultural land into vegetative cover. This mini review synthesizes known peer-reviewed research on the effects of CRP on hydrological processes, highlighting the effects on water quality, groundwater levels, surface water yields, surface water runoff, and effects on the hydrological cycle. These studies show that the CRP appears to have a positive impact on water quality, decreasing the levels of nitrogen and suspended solids. Furthermore, the CRP denotes positive results when used to manage excess runoff on surrounding land. Regarding groundwater volume, the impact of CRP varied by location and showed limited changes in volume. Despite these findings, this review highlights the need for further and continued research on the effects of CRP on hydrology to improve monitoring strategies and increase its benefits on the environment.

Change in traffic volumes in construction work zones

The problem of bottlenecks on the road network is relevant, especially in cities with radial and radial-ring schemes, since in case of their occurrence on arterial radial streets, it is difficult to choose an alternative route due to the low capacity of secondary streets. One of these bottlenecks is the repair work area, where, due to the closure of one street, the detour is carried out by parallel routes, which increases the load on local streets and driveways. Traffic flow volumes in the repair work areas are investigated in this paper. A site was selected where repairs were carried out in 2023. A citywide street of signalized traffic was closed due to repair work. The authors have forecasted the volumes of traffic flow that will be moving. After the start of the repair work, the actual traffic volume was determined by field surveys. The research was conducted over three months. The results showed that in the first week, the volumes were 2% higher than predicted; in the second week, they corresponded to the predicted values, and starting from the third week, they began to decrease. Approximately the same volumes were observed between the seventh and twelfth weeks of the study. They were 18% lower than forecasted at the beginning of the study. Since the research results showed that drivers need about a month to choose an alternative route to bypass the most congested sections of the road network, a recommendation was made to install road signs informing about the detour a month before the start of the repair work. In our opinion, this recommendation will allow drivers to plan and choose an alternative detour route in advance so that the detour section is less congested at the beginning of the repair work.

Subcortical tau burden correlates with regional brain atrophy and plasma markers in four-repeat tauopathy parkinsonism

Background 18F-florzolotau positron emission tomography (PET) assists in the in vivo diagnosis of progressive supranuclear palsy (PSP). Objective We aimed to investigate the relationship between 18F-florzolotau uptake and clinical severity, structural volume changes, and plasma markers in four-repeat tauopathies. Methods A total of 80 participants were recruited: 35 with PSP (11 with PSP-Richardson syndrome and 24 with PSP non-Richardson syndrome), 9 with corticobasal syndrome (CBS), 10 with Alzheimer's disease (AD), 8 with Parkinson's disease, and 18 controls. All participants underwent 18F-florzolotau PET, brain magnetic resonance imaging (MRI), and plasma biomarker investigation (total and phosphorylated tau [pTau181], neurofilament light chain, and glial fibrillary acidic protein [GFAP]). Results 18F-Florzolotau uptake was significantly higher in the subcortical regions of the pallidum, subthalamic nucleus (STN), midbrain, red nucleus, and raphe nucleus in PSP patients compared to the other groups (all p &lt; 0.01). Subcortical tau tracer retention assisted in distinguishing PSP and CBS from controls (AUC = 0.836, p &lt; 0.001). Tau tracer retention could differentiate PSP and CBS from AD in cortical ( p &lt; 0.001) and subcortical regions ( p = 0.028). The motor severity of PSP positively correlated with tau burden in STN ( p = 0.044) and substantia nigra ( p = 0.035). Tau tracer uptake was associated with cortical volume changes in CBS ( p = 0.031), PSP non-Richardson syndrome ( p = 0.003), and AD ( p = 0.044). Cortical tau retention correlated with plasma levels of GFAP ( p = 0.001) and pTau181 ( p = 0.036). Conclusions Subcortical 18F-Florzolotau uptake assist the diagnosis of 4R tauopathy parkinsonism. Additionally, regional tau burden contributes to structural brain volume changes and correlates with plasma levels of GFAP and pTau181.