Stratification Process Research Articles

Effect of vibration and airflow on separation of 6–1 mm fine coal in compound dry separation bed

The segregation behaviour of solid particles are affected by airflow and vibration in a compound dry separation bed. The distribution characteristics of airflow field on the bed surface have been systematically investigated by a novel method of regional air distribution, and the movement and segregation behavior of fine coal particles have been observed under different gas velocity. Meanwhile, the spatial distribution characteristics and ash variation of fine coal particles during the process of segregation and stratification were analyzed. The obtained results show that the airflow velocity of the bed showed a zonal air distribution characteristic of gradual decrease from the separation area to the clean coal section and the gangue section. The segregation and stratification of particles in the Y-axis and Z-axis directions of the bed surface can be enhanced by vibration. When the vibration frequency is 34 Hz, the probable error (E) is 0.08 g/cm3. The bed inclination and the bed grid height have a certain influence on the segregation behavior of fine coal.

Understanding thermal stratification and circulation dynamics in Fuxian Lake: Insights from EFDC simulation study

This study aims to provide a comprehensive numerical solution and quantitative analysis of the thermal stratification and circulation in Fuxian Lake, the largest freshwater deep lake in China, utilizing a high-fidelity Environmental Fluid Dynamics Code (EFDC) to build a three-dimensional hydrodynamic model. Simulation results reveal that meteorological conditions and hydrodynamic processes notably influence the spatiotemporal characteristics of the thermocline, with wind and temperature disparities primarily impacting water flow. Maximum water temperature (24.3 °C) and thermocline intensity (0.31 °C/m) typically occur in September. Vertical circulation, driven by wind-induced horizontal divergence and convergence of lake currents, often induces uneven vertical movements, leading to thermocline irregularities. This study also assesses the sensitivity of Fuxian Lake to temperature changes, showcasing the efficacy of EFDC model in accurately reproducing observed spatiotemporal variations. This research not only establishes a foundation for integrating the EFDC model with water quality models but also presents an effective approach for studying hydrodynamics and thermal stratification processes in other deep-water lakes, thereby facilitating lake management and ecological restoration endeavors.

Traversing the digital divide in concept and effect: Relative interpretations and orientations

AbstractThis discussion offers a general framing and positioning statement for identifying and considering principal analytical dimensions and policy concerns in relation to the deep and persistent digital divide that marks today's increasingly digitalized world. The digital divide encompasses various socio‐technological inequalities and inequities apparent within and across different groups, organizations, and geographic areas. Also linked to the growing Internet of Things, the digital divide generally refers to differences in information and communications technologies access and artificial intelligence applications and usage within social systems and among the countries of the world. Indicating different types and levels of socio‐technological engagement and impact, it is an issue of social, cultural, institutional, economic, and political inequality and stratification processes in which disadvantage and vulnerability, as well as privilege and power, are distributed. Related digital asymmetries are considered here in conceptual, theoretical, and applied terms relative to various issues as critical representations of relative divides characterized by socio‐spatial inequalities, inequities, and disparities in information and knowledge creation, access, opportunities, usage, and benefits. Also considered are aspirational goals for mitigating such asymmetries in related policy dialogues and directives, asserting possibilities for enhancing well‐being across sectors and peoples.

Unlocking the secrets of apple harvests: Advanced stratification techniques in the Himalayan region

This study focuses on standardizing sampling techniques and comparing various methods of sample allocation to effectively estimate apple area and production in the Himalayan region of India. We investigate different stratification tools,in formulating a sampling plan using information gathered from select orchardists in the locale during the 2016-17 period, it becomes essential to explore diverse methodologies to define the most suitable stratum boundaries, ascertain the requisite number of strata, and identify the optimal sample size. The stratification process, underpinned by the "Area under Apple" variable, which demonstrates a pronounced association with apple production, assumes a central role in this endeavor Several methods are utilized to construct strata, such as equalizing strata totals, cumulative equalization, equalization of ½{r(x) + f(x)} and equalization of f(x) . We assess their efficiencies in estimating total apple production in the study district. The combination of the "Cum f(x)" of Neyman allocation demonstrates the lowest variance and the highest efficiency within a range of 2–4 strata, coupled with an increase in sample size from 10 to 40. Consequently, it can be inferred that the "Cum f(x)" method, particularly with L > 2, is preferable for estimating apple production in the Himalayan region of India.

Anaesthetic and perioperative considerations for extrapleural pneumonectomy and extended pleurectomy/decortication: a scoping review protocol

IntroductionExtrapleural pneumonectomy (EPP) and extended pleurectomy/decortication (ePD) are surgical cytoreductive techniques aimed at achieving macroscopic resection in malignant pleural tumours such as pleural mesothelioma, non-mesothelioma pleural malignancies such as thymoma...

The left atrial appendage closure by surgery 2 trial: statistical analysis plan for a randomized multicenter trial exploring if the closure of the left atrial appendage during open-heart surgery reduces stroke irrespective of patients’ stroke risk and preoperative atrial fibrillation status

BackgroundSurgical left atrial appendage (LAA) closure concomitant to open-heart surgery prevents thromboembolism in high-risk patients. Nevertheless, high-level evidence does not exist for LAA closure performed in patients with any CHA2DS2-VASc score and preoperative atrial fibrillation or flutter (AF) status—the current trial attempts to provide such evidence.MethodsThe study is designed as a randomized, open-label, blinded outcome assessor, multicenter trial of adult patients undergoing first-time elective open-heart surgery. Patients with and without AF and any CHA2DS2-VASc score will be enrolled. The primary exclusion criteria are planned LAA closure, planned AF ablation, or ongoing endocarditis. Before randomization, a three-step stratification process will sort patients by site, surgery type, and preoperative or expected oral anticoagulation treatment. Patients will undergo balanced randomization (1:1) to LAA closure on top of the planned cardiac surgery or standard care. Block sizes vary from 8 to 16. Neurologists blinded to randomization will adjudicate the primary outcome of stroke, including transient ischemic attack (TIA). The secondary outcomes include a composite outcome of stroke, including TIA, and silent cerebral infarcts, an outcome of ischemic stroke, including TIA, and a composite outcome of stroke and all-cause mortality. LAA closure is expected to provide a 60% relative risk reduction. In total, 1500 patients will be randomized and followed for 2 years.DiscussionThe trial is expected to help form future guidelines within surgical LAA closure. This statistical analysis plan ensures transparency of analyses and limits potential reporting biases.Trial registrationClinicaltrials.gov, NCT03724318. Registered 26 October 2018, https://clinicaltrials.gov/study/NCT03724318.Protocol versionhttps://doi.org/10.1016/j.ahj.2023.06.003.

Aquatic photosynthetic carbon pump driven by periodic temperature variations affects dissolved inorganic carbon and hydrochemical characteristics in a groundwater-fed reservoir

Under the influence of periodic temperature variations, biogeochemical cycling in water bodies is markedly affected by the periodic thermal stratification processes in subtropical reservoirs or lakes. In current studies, there is insufficient research on the influence and mechanism of dissolved inorganic carbon (DIC) distribution in karst carbon-rich groundwater-fed reservoirs under the coupled effects of thermal structure stratification and the biological carbon pump (BCP) effect. To address this issue, the Dalongdong (DLD) reservoir in the subtropical region of southern China was chosen as the site for long-term monitoring and research on relevant physicochemical parameters of water, DIC, and its stable carbon isotope (δ13CDIC), CO2 emission flux, as well as the reservoir's thermal stratification index. The results show that: (1) the DLD reservoir is a typical warm monomictic reservoir, which exhibits regular variations of mixing period-stratification period-mixing period on a yearly scale due to thermal structure changes; (2) DIC was consumed by aquatic photosynthetic organisms in the epilimnion during the stratification period, leading to a decrease in DIC concentration, partial pressure of CO2 (pCO2) and CO2 emission flux, and an increase in stable carbon isotope (δ13CDIC). During the mixing period, the trend was reversed; (3) During the thermal stratification, aquatic photosynthesis and water temperature were the primary factors controlling DIC variations in both the epilimnion and thermocline. Regarding the hypolimnion, calcite dissolution, organic matter decomposition, and water temperature were the dominant controlling factors. These results indicate that although carbon-rich karst groundwater provides a plentiful supply of DIC in the DLD reservoir, its availability is still influenced by variations in the reservoir's thermal structure and the metabolic processes of aquatic photosynthetic organisms. Therefore, to better estimate the regional carbon budget in a reservoir or lake, future studies should especially consider the combined effects of BCP and thermal structure variations on carbon variations.

Disparities in Stress Exposure and Later-Life Disability.

Drawing from cumulative inequality theory and the weathering hypothesis, this study examined the relationship between life-course stress exposure (measured cumulatively and by domains) and the onset of disability in later life among White, Black, U.S.-born Hispanic, and foreign-born Hispanic older adults. Cross-sectional and longitudinal models were estimated using nationally representative data from the Health and Retirement Study (N = 11,483). We used logistic regression models to examine associations between stress exposure and Wave 1 disability (i.e., occurrence), and Weibull-accelerated failure-time models to examine the relationship between stress exposure and age of onset of disability 12-14 years later (i.e., incidence). We tested for moderation between stress and disability by race, ethnicity, and Hispanic nativity. At Wave 1, higher odds of disability occurrence were associated with cumulative stress burden (CSB; odds ratio [OR] = 4.93, 95% confidence interval [CI]: 2.95-8.23). In a model specifying domains of stressors, disability occurrence was associated with childhood financial strain (OR = 1.22, CI: 1.01-1.46), lifetime traumatic events (OR = 1.92, CI: 1.41-2.62), neighborhood disadvantage (OR = 1.32, CI: 1.01-1.73), and major lifetime discrimination (OR = 1.64, CI: 1.12-2.41). Over time, earlier onset of disability was associated with CSB (β = -0.39), childhood traumatic events (β = -0.16), adult financial strain (β = -0.17), everyday discrimination (β = -0.15), and major lifetime discrimination (β = -0.13). The effect of childhood traumatic events on the transition to disability was stronger for U.S.-born Hispanic adults than White adults (occurring 33% earlier). To reduce racial, ethnic, and nativity disparities in disability, it is important to consider the historical and structural disadvantages associated with stress exposure across the life course. It is also important to acknowledge that nativity influences stratification processes associated with disparities in racial and ethnic health trajectories.

Design and optimisation of rotary vibrating screening process in silicon photovoltaic panel recycling: A particle-scale model study

The efficient separation of crushed solar panel particles is a critical step in photovoltaics (PV) recycling. In this paper, a DEM-based computer model is used to investigate the separation of crushed solar panel particles in a variety of shapes (including rod-like glass particles and chip-like solar cell particles and small broken residue) at the particle scale in a lab-scale rotary vibrating screen. The screening process of individual particles, including looseness, stratification, collision and penetration, can be well captured by the DEM simulations. Then the effects of several key vibration parameters on screening efficiency are studied, including circular displacements and oscillatory amplitude and frequency, and their underlying mechanism is explored at the particle scale. The simulation results show that with the increase of circular displacements from 1 to 3 mm, the screening efficiency increases from 89.5% to 91.8%. With the rise of oscillatory amplitude from 0.1° to 0.6°, the screening efficiency decreases significantly from 92.0% to 87.3%. With the increase of oscillatory frequency from 10 Hz to 25 Hz, the screening efficiency decreases slightly from 92.1% to 91.2%. The optimal screening condition is identified, i.e., >3 mm circular displacement, <0.1° oscillatory amplitude, and < 10 Hz oscillatory frequency, significantly enhancing screening efficiency. This study is helpful for rotary vibrating screen device scale-up and process optimisation in the PV recycling industry.

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

With the advent of Industry 4.0, the prevalence of tower cranes equipped with hook visualization is increasing. However, the introduction of new interface management tasks has led to novel patterns of human errors for operators. The Simplified Plant Analysis Risk–Human Reliability Assessment (SPAR-H) method has emerged as a relevant approach for the prediction of human reliability in smart construction tower crane operations. However, the current SPAR-H method is only partially applicable and does not fully meet the requirements of this study. Initially, a text mining approach (TF-IDF-TruncatedSVD-ComplementNB) was employed to identify operator error-specific terms in tower crane operations. These terms were then correlated with the eight Performance Shaping Factors (PSFs) of the SPAR-H method, and corresponding failure modes and potential causes were determined from the literature. This ensured a more objective selection of influencing factors and PSFs during the stratification process, which was validated through questionnaire surveys. Furthermore, standards for SPAR-H PSF levels were established based on the characteristics of tower crane operators. Given the inherent complexity of relationships among SPAR-H PSFs, the DEMATEL-ANP method was applied. This involved analyzing logical interactions and causal relationships between first-level and second-level indicators of PSFs, obtaining weights, and integrating these with the SPAR-H method to determine human reliability. Finally, an analysis and validation were conducted using a case study of an accident involving a smart construction tower crane, confirming the subsequent reliability of operator actions. The result of the accident case study yielded a reliability measure of 4.2 × 10−5. These findings indicate that the evaluation process of this method aligns with scenarios encountered in smart construction tower crane operations.

Machine Learning-Based Algorithms for Enhanced Prediction of Local Recurrence and Metastasis in Low Rectal Adenocarcinoma Using Imaging, Surgical, and Pathological Data.

(1) Background: Numerous variables could influence the risk of rectal cancer recurrence or metastasis, and machine learning (ML)-based algorithms can help us refine the risk stratification process of these patients and choose the best therapeutic approach. The aim of this study was to assess the predictive performance of 4 ML-based models for the prediction of local recurrence or distant metastasis in patients with locally advanced low rectal adenocarcinomas who underwent neoadjuvant chemoradiotherapy and surgical treatment; (2) Methods: Patients who were admitted at the first Oncologic Surgical Clinic from the Regional Institute of Oncology, Iasi, Romania were retrospectively included in this study between November 2019 and July 2023. Decision tree (DT), naïve Bayes (NB), support vector machine (SVM), and random forest (RF) were used to analyze imagistic, surgical, and pathological data retrieved from the medical files, and their predictive performance was assessed; (3) Results: The best predictive performance was achieved by RF when used to predict disease recurrence (accuracy: 90.85%) or distant metastasis (accuracy: 89.63%). RF was closely followed by SVM (accuracy for recurrence 87.8%; accuracy for metastasis: 87.2%) in terms of predictive performance. NB and DT achieved moderate predictive power for the evaluated outcomes; (4) Conclusions: Complex algorithms such as RF and SVM could be useful for improving the prediction of adverse oncological outcomes in patients with low rectal adenocarcinoma.

The Class Ceiling in the United States: Class-Origin Pay Penalties in Higher Professional and Managerial Occupations

Abstract Gender and racial pay penalties are well-known: women (of all races) and people of color (of all genders) earn less, on average, even when they gain access to occupations historically reserved for White men. Studies of social mobility show that people from working-class backgrounds in the US have also been excluded from top professional and managerial occupations. But do working-class-origin people who attain top US jobs face a class-origin pay penalty? Despite evidence of class-origin pay gaps in higher professional and managerial occupations elsewhere, we might expect that the central role of race and racism in US stratification processes, along with the relatively low salience of class identities, would render class origins irrelevant to earnings in exclusive occupations, at least within racial groups. Using the Panel Study of Income Dynamics to link childhood class position to adult occupation and earnings, we describe the racial and class-origin composition of different high-status occupations and the earnings of people within them. We show that when people who are from working-class backgrounds are upwardly mobile into high-status occupations, they earn almost $20,000 per year less, on average, than individuals who are themselves from privileged backgrounds. The difference is partly explained by the upwardly mobile being less likely to have college degrees, but it remains substantial (around $11,700) even after accounting for education, race and other important predictors of earnings. The gap is largest among White people; there is a class-origin penalty in top US occupations that is distinct from the racial pay gap.

Inequalities in Girls’ High School Sports Participation: How Social Class, Race/Ethnicity, and Gender Route Opportunities to Play and Persist in Athletics

ABSTRACT High school athletics are understudied sites for social and educational stratification. Participation can offer mental and physical health benefits, improved student retention and graduation rates, the encouragement of pro-social behaviors, resume building, and enhanced social statuses. Despite legal prohibitions against race and gender discrimination in schools, opportunities to play and persist in interscholastic athletics may reflect and amplify existing social and educational stratification processes. Using an exploratory sequential mixed-methods research design, this study centers on girls’ high school sports and considers how gender, race/ethnicity, and social class operate at the individual, interactional, cultural, and institutional levels and encourage proclivities, commitments, and support for participation. We combine qualitative (N = 28 women and 47 total college athletes) and quantitative (N = 4,271 high school students) studies to inquire about how, and to what extent, racial/ethnic and social-class dynamics affect girls playing any and specific high school sports and whether they play persistently. Findings suggest that schools co-construct unequal athletic opportunity structures by nurturing and rewarding a cultivated athletic habitus associated with masculinity, whiteness, and affluent dispositions. These processes disguise athletic advantages and successes as well-earned merit and restrict who is most likely to receive the individual and social benefits of high school sports participation.

Processes of stratification and vertical turbulent mixing in a choked lagoon system

This work concentrates on the processes of stratification and turbulent mixing in a choked shallow lagoon, Xiaohai Lagoon, by using a three-dimensional hydrodynamic model. The model results were processed to derive buoyancy frequency, shear production, gradient Richardson number, and buoyancy flux during the tidal cycles. The parameters regarding stratification and turbulent mixing exhibited significant heterogeneity within the lagoon. Shear production primarily occurred in the downstream region with complex shoreline and bed morphology, whereas stratification was predominantly developed in the flat upstream region by tidal strain and baroclinic strain, especially during the ebb tide. The salinity mixing indicated by buoyancy flux was thus mainly confined during the ebbs in the downstream region and the middle-lower layer of the upstream region. In addition, the distribution of the gradient Richardson number indicated dominances of shear instability and buoyancy effects in the downstream and upstream regions, respectively. By simulating various combinations of river discharges and offshore tidal ranges, we examined the variations of stratification and turbulent mixing within the lagoon's parameter space. The results revealed the influence of the interaction between tidal and runoff forces through a modulation of the salinity interface's moving range. Further investigation of the buoyancy balance underlying the variation in stratification revealed the dominance of straining and mixing, while advection played a secondary role. Straining dominance appeared at locations with sufficient streamwise density gradients in the upstream region during the ebb. The contribution of advection was essential, as straining and mixing largely counteracted each other's effects through their persistent competition. A conceptual model for the stratification and mixing patterns in choked lagoons during the tidal cycle was then proposed. This conceptual model clarifies the process of the interaction between stratification and turbulent mixing in the distinctive hydrological and geomorphic environments of choked lagoons and could serve as a conference for investigating other lagoon systems in the world.

More than nature and nurture, indirect genetic effects on children's academic achievement are consequences of dynastic social processes.

Families transmit genes and environments across generations. When parents' genetics affect their children's environments, these two modes of inheritance can produce an 'indirect genetic effect'. Such indirect genetic effects may account for up to half of the estimated genetic variance in educational attainment. Here we tested if indirect genetic effects reflect within-nuclear-family transmission ('genetic nurture') or instead a multi-generational process of social stratification ('dynastic effects'). We analysed indirect genetic effects on children's academic achievement in their fifth to ninth years of schooling in N = 37,117 parent-offspring trios in the Norwegian Mother, Father, and Child Cohort Study (MoBa). We used pairs of genetically related families (parents were siblings, children were cousins; N = 10,913) to distinguish within-nuclear-family genetic-nurture effects from dynastic effects shared by cousins in different nuclear families. We found that indirect genetic effects on children's academic achievement cannot be explained by processes that operate exclusively within the nuclear family.

Cohort-Specific Experiences of Industrial Decline and Intergenerational Income Mobility

Abstract The United States manufacturing industry has long been regarded as the economic engine that built and sustained the middle class. In recent decades, this pillar of economic opportunity has eroded substantially. Though much has been written about the decline of manufacturing sectors in United States communities, the potential consequences for economic mobility, and stratification processes more generally, remain largely unexplored. In this study, I develop a conceptual framework linking the study of labor market change to economic stratification. I examine how structural changes to United States labor markets have altered opportunities for economic advancement in the United States. I focus the analysis on birth cohorts in the 1980s, whose labor market entry spans the large-scale erosion of the manufacturing industry in the 2000s. I find strong evidence that declines in manufacturing employment have contributed to growing geographic disparities in upward intergenerational income mobility. Children raised in counties that experienced large contractions in manufacturing industries throughout adolescence experienced large economic penalties in adulthood via reduced levels of upward mobility. The results demonstrate how long-term macroeconomic changes can disrupt and redistribute opportunities within societies.

CAMSAP3, a microtubule orientation regulator, plays a vital role in manifesting differentiation-dependent characteristics in keratinocytes

Microtubules constitute pivotal structural elements integral to cellular architecture and physiological functionality. Within the epidermis of the skin, microtubules undergo a noteworthy transition in orientation, shifting from centrosomal to non-centrosomal configurations during the processes of differentiation and stratification. This transition aligns with a discernible increase in the expression of CAMSAP3, a protein that binds to the minus end of microtubules, thereby regulating their orientation. In this study, we identified microtubule-bound CAMSAP3 within HaCaT keratinocytes, revealing an upregulation during the mitotic phase and accumulation at the intercellular bridge during cytokinesis. Building upon this observation, we scrutinized cellular responses upon a tetracycline/doxycycline-inducible CAMSAP3 expression in CAMSAP3-deficient HaCaT cells. Remarkably, CAMSAP3 deficiency induced shifts in microtubule orientation, resulting in cell cycle exit and delayed cytokinesis in a subset of the cells. Furthermore, our inquiry unveiled that CAMSAP3 deficiency adversely impacted the formation and stability of Adherens Junctions and Tight Junctions. In contrast, these perturbations were rectified upon the re-expression of CAMSAP3, underscoring the pivotal role of CAMSAP3 in manifesting differentiation-dependent characteristics in stratified keratinocytes. These observations emphasize the significance of CAMSAP3 in maintaining epidermal homeostasis.

Состав и функции прусских локаторов в Вармийской епископии в XIV веке

The social institution of locators, alongside the feudal land tenure system, was one of the main methods for land development in the Teutonic Order’s state. The position of a locator entailed establishing a settlement, attracting residents to its territory, and managing the social life of the new community. The formation of this group from the local population during the period of 1300-1370 raises the question of their status within the new social system, the key characteristics of which include their composition and functions. These aspects have been defined using typological and historical-comparative methods based on the records of the Warmian Episcopate. The records document land grants to a total of 190 locators, the majority of whom fall into two groups: those obligated to provide service and pay taxes, and those exempt from service but required to pay dues. Representatives of both groups had the right to build mills and taverns on their lands and were also responsible for allocating plots for the construction of parish churches. Their jurisdiction included both minor and major judicial powers. Throughout the period under review, the locators experienced processes of socio-economic stratification, exacerbated by the shrinking availability of free land and Lithuanian invasions. Measures to support locators (such as inheritance of their position and property through both male and female lines, as well as rights to fishing and hunting) were applied according to the situation in each estate, ensuring stable land development within the episcopate’s territory.

Prognostic enrichment for early-stage Huntington’s disease: An explainable machine learning approach for clinical trial

BackgroundIn Huntington’s disease clinical trials, recruitment and stratification approaches primarily rely on genetic load, cognitive and motor assessment scores. They focus less on in vivo brain imaging markers, which reflect neuropathology well before clinical diagnosis. Machine learning methods offer a degree of sophistication which could significantly improve prognosis and stratification by leveraging multimodal biomarkers from large datasets. Such models specifically tailored to HD gene expansion carriers could further enhance the efficacy of the stratification process. ObjectivesTo improve stratification of Huntington’s disease individuals for clinical trials. MethodsWe used data from 451 gene positive individuals with Huntington’s disease (both premanifest and diagnosed) from previously published cohorts (PREDICT, TRACK, TrackON, and IMAGE). We applied whole-brain parcellation to longitudinal brain scans and measured the rate of lateral ventricular enlargement, over 3 years, which was used as the target variable for our prognostic random forest regression models. The models were trained on various combinations of features at baseline, including genetic load, cognitive and motor assessment score biomarkers, as well as brain imaging-derived features. Furthermore, a simplified stratification model was developed to classify individuals into two homogenous groups (low risk and high risk) based on their anticipated rate of ventricular enlargement. ResultsThe predictive accuracy of the prognostic models substantially improved by integrating brain imaging features alongside genetic load, cognitive and motor biomarkers: a 24 % reduction in the cross-validated mean absolute error, yielding an error of 530 mm3/year. The stratification model had a cross-validated accuracy of 81 % in differentiating between moderate and fast progressors (precision = 83 %, recall = 80 %). ConclusionsThis study validated the effectiveness of machine learning in differentiating between low- and high-risk individuals based on the rate of ventricular enlargement. The models were exclusively trained using features from HD individuals, which offers a more disease-specific, simplified, and accurate approach for prognostic enrichment compared to relying on features extracted from healthy control groups, as done in previous studies. The proposed method has the potential to enhance clinical utility by: i) enabling more targeted recruitment of individuals for clinical trials, ii) improving post-hoc evaluation of individuals, and iii) ultimately leading to better outcomes for individuals through personalized treatment selection.

«THE MOTHER OF GOD HODIGITRIA» OF THE YEAR 1696 FROM THE HOLY ASSUPIAN UNIVERSITY LAVR (the process of stratification and transfer easel painting during icon restoration and research)

«THE MOTHER OF GOD HODIGITRIA» OF THE YEAR 1696 FROM THE HOLY ASSUPIAN UNIVERSITY LAVR (the process of stratification and transfer easel painting during icon restoration and research)