Passage Of Time Research Articles

Long-term risks of cardiovascular death among older patients with major hematological malignancies: a population-based cohort study from SEER database.

The objective of this study was to identify the risk of cardiovascular disease (CVD)-related death in older patients with major hematological malignancies (HM). This study included 103,102 older patients diagnosed with 7 major types of HM between 1975 and 2018 (median follow-up: 2.7 years) from the Surveillance, Epidemiology, and End Result (SEER) database. The proportion of deaths, Fine-Gray sub-distribution hazards regression model, standardized mortality ratios (SMR) and absolute excess risk (AER) were used to evaluate the risk of CVD-related death. For older patients with HM, CVD-related death ranked as the second leading cause of death, surpassed only by primary malignancy. Compared to the general older population, older patients with HM had higher SMR and AER of CVD-related deaths (SMR: 1.16-1.81; AER: 41.24-308.99), heart disease-related deaths (SMR: 1.19-1.90; AER: 39.23-274.69), and cerebrovascular dis-ease-related deaths (SMR: 0.99-1.66; AER: -0.35 -24.15). The proportion of deaths and cumulative mortality increased with the passage of survival time, especially in Hodgkin lymphoma patients with stage I/II and those aged ≥85 years with chronic lymphocytic leukemia, surpassing primary malignancy. The risk of CVD-related death varied among different HM types. For older patients with HM, long-term cardiovascular risk management needs to be focused on while addressing the primary malignancy. Our results emphasize the need to manage long-term cardiovascular risk in older patients with HM, especially in those identified as high-risk cases.

A new bicornuate model of rat uterus transplantation.

Uterus transplantation has revolutionized reproductive medicine for women with absolute uterine factor infertility, resulting in more than 40 reported successful live births worldwide to date. Small animal models are pivotal to refine this surgical and immunological challenging procedure aiming to enhance safety for both the mother and the child. We established a syngeneic bicornuate uterus transplantation model in young female Lewis rats. All surgical procedures were conducted by an experienced and skilled microsurgeon who organized the learning process into multiple structured steps. Animals underwent meticulous preoperative preparation and postoperative care. Transplant success was monitored by sequential biopsies, monitoring graft viability and documenting histological changes long-term. Bicornuate uterus transplantation were successfully established achieving an over 70% graft survival rate with the passage of time. The bicornuate model demonstrated safety and feasibility, yielding outcomes comparable to the unicornuate model in terms of ischemia times and complications. Longitudinal biopsies were well-tolerated, enabling comprehensive monitoring throughout the study. Our novel bicornuate rat uterus transplantation model provides a distinctive opportunity for sequential biopsies at various intervals after transplantation and, therefore, comprehensive monitoring of graft health, viability, and identification of potential signs of rejection. Furthermore, this model allows for different interventions in each horn for comparative studies without interobserver differences contrary to the established unicornuate model. By closely replicating the clinical setting, this model stands as a valuable tool for ongoing research in the field of uterus transplantation, promoting further innovation and deeper insights into the intricacies of the uterus transplant procedure.

Role of energy transition in easing energy security risk and decreasing CO2 emissions: Disaggregated level evidence from the USA by quantile-based models

Consistent with the increasing environmental interest, the clean energy transition is highly critical to achieving decarbonization targets. Also, energy security has become an important topic under the shadow of the energy crisis,. Accordingly, countries have been trying to stimulate clean energy use to preserve the environment and ensure energy security. So, considering the leading role of economic size and volume of energy use, the study examines the USA to define whether energy transition helps decrease energy security risk (ESR) and curb CO2 emissions. So, the study applies a disaggregated level analysis by performing quantile-based models for the period from 2001/Q1 through 2022/Q4. The results demonstrate that (i) the energy transition index decreases environmental ESR at higher quantiles and reliability ESR at lower and middle quantiles, whereas it is not beneficial in declining economic and geopolitical ESR; (ii) energy transition curbs CO2 emissions in building and transport sectors at lower quantiles, whereas it does not help decrease CO2 emissions in industrial and power sectors; (iii) energy transition is mostly ineffective on ESR, whereas it is highly effective in curbing CO2 emissions in all sectors except for transport across various quantiles as time passes; (iv) the results differ according to the aggregated and disaggregated levels; (v) the results are consistent across main and alternative models. Hence, the study highlights the dominant effect of energy transition in curbing sectoral CO2 emissions rather than easing ESR. Accordingly, the study discusses various policy implications for the USA.

The “Yao” in Li Bai’s Poetry and Its Emotional Implications

In Li Bai’s poems, the term yao or medicine is frequently employed as an idea-image. The meaning of yao can be further divided into four distinct types, each corresponding to its functions in different contexts. It represents the elixir found on Penglai Island, having the power to elevate a person to immortality; the elixir stolen from the Queen Mother of the West by Heng’E; the immortal herbs pounded by the Jade Rabbit; and the medicine used for treating diseases. In addition, Li Bai’s poems also contain elixir liquid (danye 丹液), potable gold (jinye 金液), and other substances referred to as yao. Unlike specific terms like “cinnabar,” these names are more general in nature. The medicines, their names, and the general terms in poems carry different emotional implications, e.g., his admiration for immortality, and a means to criticize his own time, to express his aspirations and lamentation over the passage of time. The “Yao” also serves as a symbol of healing and nourishment, especially in the context of friendship. All these points deserve to be meticulously explored.

Chest Ultrasound- A New Way To Diagnose

Chest ultrasound is a new modality and a new way of scanning and investigating the chest and lungs. It is getting popular both with the clinicians and the sonologists as it is cheap, easily available and portable and so can be taken to the patient’s bedside in the Intensive Care Unit (ICU) or High Dependency Unit (HDU). Its need is increasing with the passage of time. It is more used nowadays with the prevalence of Dengue fever to detect pleural effusion and also the degree of pleural effusion. Its use also increased in the ICU and HDU during COVID pandemic to detect pneumonia. Even for carrying out procedures like pleural fluid aspiration for diagnostic or therapeutic purpose its usage is increasing for accurate and quick access to the targeted area of fluid collection. It is also being used to exclude any collection at the site of aspiration so as to treat it before discharge of the patient. J Bangladesh Coll Phys Surg 2024; 42: 189-193

INTEGRATION OF FRAGMENTATIONS IN VIRGINIA WOOLF'S TO THE LIGHTHOUSE

Modernism, which emerged in the late 19th century and took effect sharply in the early 20th century, paralyzed all previous movements. This movement, offering a new perspective on literature, culture, and politics, rejected the past and supported novelty in an original context. Additionaly, it opened the door to novelty in literature. Literary works were written in a different style, both in content and form. More experimental, non-linear narratives and works examining the inner world of the characters came to the fore instead of simple, superficial, standardized works which were examples of the old tradition. Concepts such as stream of consciousness, fragmentations, deep pessimism, and involving the reader in the text became important details of literature. By using these points, the authors tried to reflect both the period they lived in and their own spiritual lives in the works. The First World War, which broke out at the beginning of the 20th century and profoundly affected the whole world, shaped literature as well. Writers who witnessed the war began to take their subject matters from the war and describe the war’s devastating effects. One of these writers is Virginia Woolf, a pioneer of modern literature. The psychological disorders and a turbulent life experienced by Woolf as well as the chaos of the period had a deep impact on her themes and modes of thinking. The diaries, essays, and novels she wrote bear the traces of the period. In addition, she masterfully reflects the complexity of her inner world in the works. Using the stream of consciousness technique, the analysis of the characters' inner world, and the fragmentation magnificently, Woolf constructs the plot in this regard. Her work To the Lighthouse, written in 1927, is one of the cornerstones of modern literature. There are three parts that make up the book: The Window, Time Passes, and The Lighthouse. What stand out as striking elements in the work are the contrasts, inconsistencies, disagreements and fragmentations among the characters. Fragmentation, an important writing feature of Virginia Woolf, has an imortant place in the novel. But Woolf eliminates the fragmentation of the events and characters. It can be argued that she remarkably reflects integration, which is the opposite of fragmentation. Basically, the purpose of this article is to reflect on examples of integration of fragments and ensuring unity in Woolf's aforementioned work. While doing this, the main characters, side characters and significant events in the novel have been examined and analyzed.

Fiona Volpe: A New Perspective on James Bond's Iconic <em>Femme Fatale</em>

While narratives of gender politics and female identity in Western visual culture have become more dynamic with the passage of time, one of the most contentious spheres of discussion in mass media surrounds that of Ian Fleming’s ultimate fictional creation, James Bond. Female sexuality and gender politics in the Bond universe has been robustly, and rightfully, scrutinised by academic and casual spectators for at least 50 of the 70 years since his inception. Yet, one of the most enduring characters in the cinematic canon has not yet been given this discerning treatment, in earnest. Originally called "Fiona Kelly" by screenwriters Richard Maibaum and John Hopkins, Fiona Volpe was portrayed by Italian actress Luciana Paluzzi-Solomon in Terence Young’s 1965 film adaptation of Thunderball. In November 2017, I had the opportunity to interview Mrs. Paluzzi-Solomon for a now-abandoned book concept. As one of the few actresses from the Sean Connery-era who are still living, she was remarkably forthcoming regarding her professional and personal experiences on set. Without pride or prejudice, Mrs. Paluzzi-Solomon’s account proved to be not only to be illuminating in and of itself as an interview, but also served as a foundation to better understand the origins, development, and public reception of the gold standard femme fatale of the Bond films. This article will explore the character of Fiona Volpe, her origins, plot function, and legacy, from the unique perspective of the woman who brought her to life.

Connected in bad times and in good times: Empathy induces stable social closeness.

Humans need social closeness to prosper. There is evidence that empathy can induce social closeness. However, it remains unclear how empathy-related social closeness is formed and how stable it is as time passes. We applied an acquisition-extinction paradigm combined with computational modelling and fMRI, to investigate the formation and stability of empathy-related social closeness. Female participants observed painful stimulation of another person with high probability (acquisition) and low probability (extinction), and rated their closeness to that person. The results of two independent studies showed increased social closeness in the acquisition block that resisted extinction in the extinction block. Providing insights into underlying mechanisms, reinforcement learning modelling revealed that the formation of social closeness is based on a learning signal (prediction error) generated from observing another's pain, whereas maintaining social closeness is based on a learning signal generated from observing another's pain relief. The results of a reciprocity control study indicate that this feedback recalibration is specific to learning of empathy-related social closeness. On the neural level, the recalibration of the feedback signal was associated with neural responses in anterior insula and adjacent inferior frontal gyrus and the bilateral superior temporal sulcus/temporo-parietal junction. Together, these findings show that empathy-related social closeness generated in bad times, i.e., empathy with the misfortune of another person, transfers to good times, and thus may form one important basis for stable social relationships.Significance Statement Humans feel close to others if they empathize with them. Here we test whether this feeling of social closeness remains if empathy is no longer elicited. Combining mathematical learning models and functional magnetic-resonance imaging, we find that empathy with others' pain establishes stable social closeness that is maintained even if the other person is feeling well again. Explaining the mechanism, we show that the stability of empathy-induced social closeness is based on the recalibration of an empathy-related learning signal in the anterior insula/inferior frontal gyrus and the temporo-parietal junction. These findings reveal how empathy maintains social closeness and thus contributes to the formation of stable social relationships.

MAINTAINING GAS RECOVERY IN LOW-PERMEABILITY FORMATIONS

The purpose of this work was to ensure efficient gas production in low-permeability and heterogeneous formations by numerically modeling the distribution of reservoir pressure drop around production and injection wells. To investigate this goal, we used a simulation based on the combined finite-element-difference method for nonstationary Leibenson piezoelectric conductivity problems. The method is based on the combination of elements of the already known finite difference and finite element methods for the nonstationary piezoelectric conductivity problem. The study found that there are many factors that affect the process of maintaining gas production in poorly permeable areas of a gas-bearing formation. Among them, first of all, after increasing the permeability of the corresponding section of the reservoir where production is created. Another important factor for maintaining gas recovery is the ability to naturally or artificially maintain gas phase infiltration within the affected reservoir area. This aspect is especially important for ensuring stable gas recovery over a long period of operation. During the intensive and long-term operation of the working area of the gas-bearing formation, additional injection wells were installed in the complex of production wells to avoid its depletion. It is important to note that provided a high level of gas phase penetration at the beginning of field operation, other factors of the production process, such as additional production wells and infiltration within the working area, have a lesser impact on the overall pressure distribution in this area. Thus, the study shows that with the passage of time and prolonged operation of the working section of the reservoir, the influence of its penetration decreases, but the importance of injected substances in the injection wells and gas phase infiltration within this section of the reservoir increases.

Intelligent Low-Consumption Optimization Strategies: Economic Operation of Hydropower Stations Based on Improved LSTM and Random Forest Machine Learning Algorithm

The economic operation of hydropower stations has the potential to increase water use efficiency. However, there are some challenges, such as the fixed and unchangeable flow characteristic curve of the hydraulic turbines, and the large number of variables in optimal load distribution, which limit the progress of research. In this paper, we propose a new optimal method of the economic operation of hydropower stations based on improved Long Short-Term Memory neural network (I-LSTM) and Random Forest (RF) algorithm. Firstly, in order to accurately estimate the water consumption, the LSTM model’s hyperparameters are optimized using improved particle swarm optimization, and the I-LSTM method is proposed to fit the flow characteristic curve of the hydraulic turbines. Secondly, the Random Forest machine learning algorithm is introduced to establish a load-distribution model with its powerful feature extraction and learning ability. To improve the accuracy of the load-distribution model, we use the K-means algorithm to cluster the historical data and optimize the parameters of the Random Forest model. A Hydropower Station in China is selected for a case study. It is shown that (1) the I-LSTM method fits the operating characteristics under various working conditions and actual operating characteristics of hydraulic turbines, ensuring that they are closest to the actual operating state; (2) the I-LSTM method is compared with Support Vector Machine (SVM), Extreme Learning Machine (ELM) and Long Short-Term Memory neural network (LSTM). The prediction results of SVM have a large error, but compared with ELM and LSTM, MSE is reduced by about 46% and 38% respectively. MAE is reduced by about 25% and 21%, respectively. RMSE is reduced by about 27% and 24%, respectively; (3) the RF algorithm performs better than the traditional dynamic programming algorithm in load distribution. With the passage of time and the increase in training samples, the prediction accuracy of the Random Forest model has steadily improved, which helps to achieve optimal operation of the units, reducing their average total water consumption by 1.24%. This study provides strong support for the application of intelligent low-consumption optimization strategies in hydropower fields, which can bring higher economic benefits and resource savings to renewable energy production.

Long-term outcome of pediatric head injuries – A five-year follow-up

Objectives: Traumatic brain injury (TBI) disrupts the developing brain in the pediatric population. This study aims to look at the outcomes of moderate and severe TBI over a five-year follow-up to look for the long-term sequelae of head injury in the pediatric population. Materials and Methods: A prospective observational study was conducted after obtaining the permission of the Institutional Ethics Committee with the primary study participants admitted between 2015 and 2017 with follow-up extending up to 2022 in 118 pediatric patients, aged between 1 and 15 years who required admission in the pediatric intensive care unit with moderate and severe TBI. Results: Language impairment was noted in 33.63% (n = 37) patients during early follow-up, and 12 of them continued to have impaired language skills and communication at the end of five years. With regard to school functioning, children had more difficulty in the arithmetic domain (n = 33) compared to language domains (n = 17). While the parents noted improvements in scholastic performances, some degree of difficulty in learning was noted in most of the children, who sustained TBI. Despite these difficulties, 27 out of 41 participants, who gave their higher secondary examinations have gone on to pursue undergraduate courses in colleges. Conclusion: Our study indicates that over the passage of time, children tend to have a reasonable chance at recovery, and with the potential for plasticity, early and aggressive rehabilitative services may enable the child to have a decent quality of life and in selected cases, even an independent life.

Soil source, not the degree of urbanization determines soil physicochemical properties and bacterial composition in Ningbo urban green spaces

Urban green spaces provide multiple ecosystem services and have great influences on human health. However, the compositions and properties of urban soil are not well understood yet. In this study, soil samples were collected from 45 parks in Ningbo to investigate the relationships among soil physicochemical properties, heavy metals and bacterial communities. The results showed that soil dissolved organic matter (DOM) was of high molecular weight, high aromaticity, and low degree of humification. The contents of heavy metals were all below the China's national standard safety limit (GB 3660–2018). The bioavailability of heavy metals highly correlated with soil pH, the content of DOC, the fluorescent component, the degree of humification and the source of DOM. The most abundant genera were Gemmatimonadaceae_uncultured, Xanthobacteraceae_uncultured, and Acidothermus in all samples, which were related to nitrogen cycle and bioavailability of heavy metals. Soil pH, bioavailability of Zn, Cd, and Pb (CaCl2 extracted) were the main edaphic factors influencing bacterial community composition. It should be noted that there was no significant impact of urbanization on soil physicochemical properties and bacterial composition, but they were determined by the source of soil in urban green spaces. However, with the passage of time, the effect of urbanization on urban green spaces cannot be ignored. Overall, this study provided new insight for understanding the linkage among soil physicochemical properties, heavy metals, and bacterial communities in urban green spaces.

Old by obsolescence: The paradox of aging in the digital era.

Geroscience and philosophy of aging have tended to focus their analyses on the biological and chronological dimensions of aging. Namely, one ages with the passage of time and by experiencing the cellular-molecular deterioration that accompanies this process. However, our concept of aging depends decisively on the social valuations held about it. In this article, we will argue that, if we study social aging in the contemporary world, a novel phenomenon can be identified: the paradox of aging in the digital era. If the social understanding of aging today is linked to unproductivity and obsolescence; then there is a possibility that, given the pace of change of digital technologies, we become obsolete at an early chronological and biological age, andtherefore, feel old at a younger age. First, we will present the social dimension of aging based on Rowe and Kahn's model of successful aging. We will also show that their notion of social aging hardly considers structural aspects and weakens their approach. Second, departing from social aging in its structural sense, we will develop the paradox of aging in the digital era. On the one hand, we will explain how the institutionalization of aging has occurred in modern societies and how it is anchored in the concepts of obsolescence and productivity. On the other hand, we will state the kind of obsolescence that digitalization produces and argue that it can make cohorts of biologically and chronologically young individuals obsolete, and thus they would be personally and socially perceived as old.

Tocotrienol decreases β-amyloid mediated toxicity in Caenorhabditis elegans model of Alzheimer's disease

Alzheimer's disease (AD) is a neurological condition that arises from the buildup of senile plaques, which consist of β-amyloid peptide (Aβ), in the brain. The disorder hampers cognitive functions and deteriorates gradually as time passes. The objective of this investigation is to evaluate the efficacy of tocotrienols as a therapeutic intervention for Alzheimer's disease. The study employed a genetically modified Caenorhabditis elegans model that displays paralysis as a result of the activation of the human beta-amyloid Aβ42 gene. This investigation aimed to explore the potential of blended tocotrienols in alleviating paralysis symptoms. Four experiments were conducted to observe the rescuing effect of tocotrienols: paralysis assay, measurement of ROS, immune-dot blot assay, and aggregation assay. The composition of the mixed tocotrienols consisted of 12.1% α-, 2.7% β-, 18.6% γ-, and 8.1% δ-tocotrienols. Treatment with mixed tocotrienols at concentrations of 0.5 %, 0.75 %, and 1 % noticeably prolonged the onset of Aβ-induced paralysis in the genetically modified nematode. Additionally, tocotrienols exhibited antioxidant properties against Aβ-generated oxidative stress, with 0.1% to 1% of mixed tocotrienols demonstrating significantly reduced ROS in the worms. Furthermore, the combination also exhibited strong inhibitory effects on the aggregation of Aβ, demonstrating a potent activity with an IC50 value of 600 ng/ml.

Thermal transport in thermoelectric materials of SnSSe and SnS[formula omitted]: A non-equilibrium Monte-Carlo simulation of Boltzmann transport equation

In the present work, thermal transport and the energy conversation in two thermoelectrically efficient candidates of Janus SnSSe and SnS2 are investigated within the non-equilibrium Monte Carlo simulation of the phonon Boltzmann equation. The phonon analysis has been performed to determine the contributed phonon in heat transport. The results present that the dominant participating phonons are the ones from the longitudinal acoustic (LA) branch while the least belongs to the transverse acoustic (TA) modes. Both materials reached the very high maximum temperature in response to the implied wasted heat. This is attributed to the low presence of the critical TA phonons which are on one hand fast enough to leave the hotspot but on the other hand have frequencies commensurable to ZA phonons’ frequency. Also, the temperature profile achieved during the heating and cooling of the materials is studied. It is obtained that the heat propagation through the SnS2 is, at first, swifter, which results in a temperature gradient through the whole material which is less than that of the SnSSe. As the time passes, the heat transfer that is directly related to the material thermal conductivity, slows down. So, the behavior of the SnS2 and SnSSe, in case of the heat propagation status, becomes similar. Moreover, the behavior of the thermoelectric figure of merit (zT), the efficiency (η), and the generated voltage have been figured out. It is stated that the higher zT and η do not guarantee a larger generated Seebeck voltage. This is true, while the generated Seebeck voltage is related to the temperature difference between the heated and the cold junction. Accordingly, how far the temperature of matter rises in response to the implied wasted heat is directly related to the obtained voltage. Mainly, it is presented that the maximum temperature that a material achieves, alongside the temperature gradient and the material property Seebeck coefficient, are essential in introducing thermoelectrically efficient materials with reasonable thermal to electrical energy conversion, useful for thermal engineering.

Performance analysis of PVSyst based grid connected photovoltaic systems in Pakistan compared to SAARC countries

Electricity demand increasing day by day with the passage of time, fossil fuels and traditional electricity sources are becoming obsolete. The possibility of dealing with a power deficit and importing oil and gas for electricity generation exists for developing nations like Pakistan. One of the most accessible and affordable sources of renewable energy in the world is solar power generating. Photovoltaic (PV) cell performance is influenced by the environment and the technology used to capture the available energy. The Islamabad region of Pakistan is blessed with an average of 300 days of sunshine a year due to its location in the solar band at 33.7215°N latitude and 73.0433°E longitude. The current study compares and contrasts how Pakistan and South Asian Association for Regional Cooperation (SAARC) countries generate electricity using solar systems. Choosing one geographical place from all SAARC nations, PVSyst software is used to develop and estimate the performance study for solar model cell Panasonic 320Wp, 48V and 1.5 kW Inverter Fronius for a 9.6 kWp load.  Energy supplied into the grid is studied together with various losses that occur in the system, with the choice of PV arrays and other factors remaining the same for comparison study of all SAARC countries. The approach to minimize losses through the utilization of an adjustable tilt angle has been implemented. This study will be useful in estimating and planning the solar energy output in all SAARC nations for the same photovoltaic system, and it will be simple to trade all PV system components in the region.

Numerical simulation of heat pipe solar system combined with finned thermal storage unit incorporating mixture of nanoparticles and paraffin

The core aim of this investigation is to simulate the melting of paraffin within a solar heat pipe unit combined with thermal storage unit, while taking into account the presence of metallic fins. To enhance system performance, Multi-Walled Carbon Nanotube (MWCNT) nanoparticles were blended into the paraffin material (RT82) using a homogeneous mixture approximation. The temperatures of the heat pipe and inner walls were derived from previous experimental research. Three distinct fin arrangements were utilized, and simulations were carried out employing numerical method. Validation procedures were undertaken to verify the accuracy of the modeling and the applied approximations, relying on both prior experimental data and numerical publications. The investigation presents data on the liquid fraction (LF), temperature (T), and stream function for diverse configurations. This holistic approach seeks to deepen comprehension of the interactions among these elements within a solar collector system, offering vital insights for performance optimization. The outcomes demonstrated a notable improvement in LF, increasing by roughly 15.15% at t = 1200s with the integration of MWCNT. Furthermore, with the passage of time from 400 s to 1200s, the incorporation of additives results in a notable rise in LF and T, demonstrating enhancements of approximately 97.74% and 130.8% correspondingly. Notably, the utilization of fins positioned at a 90o angle expedites the melting process, yielding a 38.24% LF increase compared to the base case at t = 1200s. Moreover, the impact of fins demonstrates a 3.32% increase over time. In essence, these results emphasize the effectiveness of incorporating MWCNTs and fine-tuning fin configurations to accelerate the melting process, offering valuable insights for the progress of solar thermal systems.

Балетные сцены опер М. И. Глинки в отзывах современников

The article discusses the problem of ballet scenes in the operas of M. I. Glinka, "A Life for the Tsar," and "Ruslan and Lyudmila," in the context of choreographic art of the 19th century. The author documents the composer's growing interest in dance and ballet theater, the place and significance of ballet scenes in opera productions of that time. The critical responses that emerged in the press after the premieres of Glinka's operas, containing judgments on the staging of the ballet scenes, are analyzed in the paper. As a result of the analysis, the author concludes that critics who highly appreciated the music of the dance scenes were critical of their choreographic embodiment, while those who focused on the ballet were dissatisfied with the music. Additionally, the author pays attention to the method of broad interpretation of opera music through the creation of folk dances based on it. As a result, the author concludes that the objective understanding of the significance of ballet scenes in Glinka's operas became possible only with the passage of time, but their practical influence on ballet and dance scenes in Russian operas in the second half of the 19th century is undeniable.

Clinically significant changes in genes and variants associated with epilepsy over time: implications for re-analysis

Despite the significant advances in understanding the genetic architecture of epilepsy, many patients do not receive a molecular diagnosis after genomic testing. Re-analysing existing genomic data has emerged as a potent method to increase diagnostic yields—providing the benefits of genomic-enabled medicine to more individuals afflicted with a range of different conditions. The primary drivers for these new diagnoses are the discovery of novel gene-disease and variants-disease relationships; however, most decisions to trigger re-analysis are based on the passage of time rather than the accumulation of new knowledge. To explore how our understanding of a specific condition changes and how this impacts re-analysis of genomic data from epilepsy patients, we developed Vigelint. This approach combines the information from PanelApp and ClinVar to characterise how the clinically relevant genes and causative variants available to laboratories change over time, and this approach to five clinical-grade epilepsy panels. Applying the Vigelint pipeline to these panels revealed highly variable patterns in new, clinically relevant knowledge becoming publicly available. This variability indicates that a more dynamic approach to re-analysis may benefit the diagnosis and treatment of epilepsy patients. Moreover, this work suggests that Vigelint can provide empirical data to guide more nuanced, condition-specific approaches to re-analysis.

MODERNIZATION OF THE EDUCATIONAL SYSTEM BASED ON AN INNOVATIVE APPROACH

This comprehensive article delves into the cultural expressions surrounding the concept of age, as depicted through proverbs and sayings in both English and Uzbek traditions. The analysis begins by acknowledging the multifaceted nature of age, covering biological, psychological, and sociocultural dimensions. It underscores the role of proverbs as linguistic reflections of cultural values, offering insights into societal attitudes towards age, wisdom, and the passage of time. The article underscores the importance of proverbs as cultural artifacts that encapsulate shared wisdom, offering a lens into the collective consciousness of societies as they navigate the complexities of age and its symbolic significance.