Array Of Sources Research Articles

Stalking a non-native species on social media: Updating the distribution of Paysandisia archon (Burmeister, 1879) in Croatia through citizen science

In Europe, the palm borer moth, Paysandisia archon (Burmeister, 1879) is a non-native species which was introduced in the early 2000s. Since then, the moth has rapidly spread across the Mediterranean parts of Europe and started causing damage to both native and non-native palm trees. The first record for Croatia dates to 2011 when the moth was recorded in Split and Zadar. Since then, the spread of the species has not been documented in the scientific literature but being an unusual and invasive species, its expansions was reported across a wide array of internet sources, including social media. To comprehensively understand the current distribution of P. archon in Croatia, we systematically compiled data from citizen science platforms, social media, websites, and both published and personal observations. Our findings reveal a total of 112 records spanning most of the Mediterranean parts of Croatia, indicating a rapid and expansive distribution of the species. The caterpillars of this species develop within palms causing them to rot and eventually dry which causes economic and aesthetic losses. Severe economic damage in the horticultural sectors has been previously reported in countries like France and Italy, while in the western Mediterranean, it poses a conservation threat to native palm populations. Further monitoring and damage assessments should be carried out to understand to the full the impact of this non-native species in Croatia.

Harmful Algal Blooms on the Portuguese coast: Cross-checking events with remote sensing ocean colour data for coastal management

Phytoplankton plays a vital role in marine ecosystems, serving as a primary food source for a diverse array of organisms, including commercially important bivalves, crustaceans, and fish. However, in some situations, the proliferation of algae can cause serious economic losses for aquaculture, fishing, and tourism and have major environmental and human health impacts. Increases in the occurrence of toxic phytoplankton blooms in Iberian waters have been reported. Earth Observation (EO) can provide important information about the spatial and temporal distribution and the destination of blooms, with scales not available for conventional monitoring techniques. The present work aims to take advantage of public databases (Harmful Algae Event Database (HAEDAT)) to relate ocean colour data, also publicly available, (Copernicus Marine Environmental Monitoring Service (CMEMS)) with the detection of the occurrence of harmful algal blooms (HABs). From the analysis of the HAEDAT database, it was possible to observe that in Portugal, from 1987 to 2020, there were 669 HABs events, with Diarrhetic Intoxication by Shellfish (DSP) syndrome. The images were extracted from multiple ocean colour sensors (2017–2020) for periods coinciding with DSP HABs events in recent years to identify patterns in the development of HAB toxins and to assist in coastal management. Having in account the HAB events analysed (12), was observed a weak but significant correlation between the datasets when the comparison was between the biotoxin concentration and its 14th day precedent Chlorophyll a (Chl a) concentration (rSpearman=0.15). These results show how EO data relate to regular bivalve toxin monitoring programs on the Portuguese coast and are useful for future integration in modelling tools. Other than being useful for coastal water quality assessment and management, these results also reinforce the importance of maintaining existing monitoring programs on a regular basis, especially as some types of HABs may not be easily distinguishable by EO.

Investigating the Atmospheric Fate and Kinetics of OH Radical-Initiated Oxidation Reactions for Epoxybutane Isomers: Theoretical Insight.

Epoxides, which belong to the category of oxygenated volatile organic compounds (OVOCs), are emitted into the atmosphere by an array of sources and can impact both human and environmental well-being significantly. This study involves comprehensive computational analyses aimed at investigating the mechanism, thermodynamic aspects, and reaction kinetics associated with hydrogen abstraction reactions of cis-2,3-epoxybutane, trans-2,3-epoxybutane, and 1,2-epoxybutane by OH radicals. The potential energy diagrams involving all of the species for each specific pathway were constructed at the CCSD(T)/aug-cc-pVTZ//M06-2X/cc-pVTZ level of theory. The rate coefficients for all possible pathways were calculated using the Rice-Ramsperger-Kassel-Marcus master equation (RRKM-ME) corrected by Eckart tunneling within the 200-350 K temperature range and 1 atm pressure. The overall rate coefficients of the reaction of cis-2,3-epoxybutane, trans-2,3-epoxybutane, and 1,2-epoxybutane with OH radicals at 298.15 K were found to be 0.32 × 10-12, 0.33 × 10-12, and 0.66 × 10-12 cm3 molecule-1 s-1, respectively. We also studied the atmospheric lifetime and photochemical ozone creation potential (POCP) of all three compounds. In addition, we have provided extensive degradation pathways for the product radicals formed from the initial reaction with OH radicals in the presence of O2 and NO. The study showed that the product radicals can result in various harmful end products, including grade 1 and grade 2 carcinogens, as listed by the World Health Organization (WHO).

Enhancing Alzheimer's Disease Classification with Transfer Learning: Finetuning a Pre-trained Algorithm.

The increasing longevity of the population has made Alzheimer's disease (AD) a significant public health concern. However, the challenge of accurately distinguishing different disease stages due to limited variability within the same stage and the potential for errors in manual classification highlights the need for more precise approaches to classifying AD stages. In the field of deep learning, the ResNet50V2 model stands as a testament to its exceptional capabilities in image classification tasks. The dataset employed in this study was sourced from Kaggle and consisted of 6400 MRI images that were meticulously collected and rigorously verified to assure their precision. The selection of images was conducted with great attention to detail, drawing from a diverse array of sources. This study focuses on harnessing the potential of this model for AD classification, a task that relies on extracting disease-specific features. Furthermore, to achieve this, a multi-class classification methodology is employed, using transfer learning and fine-tuning of layers to adapt the pre-trained ResNet50V2 model for AD classification. Notably, the impact of various input layer sizes on model performance is investigated, meticulously striking a balance between capacity and computational efficiency. The optimal fine-tuning strategy is determined by counting layers within convolution blocks and selectively unfreezing and training individual layers after a designated layer index, ensuring consistency and reproducibility. Custom classification layers, dynamic learning rate reduction, and extensive visualization techniques are incorporated. The model's performance is evaluated using accuracy, AUC, precision, recall, F1-score, and ROC curves. The comprehensive analysis reveals the model's ability to discriminate between AD stages. Visualization through confusion matrices aided in understanding model behavior. The rounded predicted labels enhanced practical utility. This approach combined empirical research and iterative refinement, resulting in enhanced accuracy and reliability in AD classification. Our model holds promise for real-world applications, achieving an accuracy of 96.18%, showcasing the potential of deep learning in addressing complex medical challenges.

Analysis of Renewable Source Self-Consumption Systems: Energy, Economic and Social Impact

This work analyzes renewable source self-consumption systems as an alternative to conventional fossil fuel sources for the residential, commercial, and industrial sectors. The proposed configuration is a hybrid array of individual or combined renewable energy sources like photovoltaic panels, wind turbines, hydroelectric micro-turbines, low enthalpy geothermal or biomass units, etc. The paper studies the energy balance for a prototype installation based on standard energy consumption and power supply from renewable sources, aiming to optimize the system performance by saving energy, increasing efficiency, and minimizing energy waste. The paper also analyzes the feasibility of the proposed configuration, its capacity for variable operating conditions adaptability, and the implementation factor in modern society. This work also evaluates the environmental impact of self-consumption systems powered by renewable sources in urban areas, which are deeply sensible to pollutant gasses emissions. The simulation analysis shows that this solution reduces greenhouse gas emissions and helps mitigate climate change by reverting the carbon dioxide balance in the atmosphere.

Time-modulated planar frequency diverse array for multi-target detection

The frequency diverse array (FDA) is a very interesting technique in wireless communications. Many research papers are introduced in this field. A lot of them is concerned with linear point sources array. In this paper, a design of a time-modulated planar frequency diverse array architecture is proposed for tracking single or multi-target for the first time. The time-modulation array (TMA) and FDA are combined for detecting single and multi-target. The effectiveness of this combined scheme is demonstrated through simulation results that compared with a point source case to show its superior performance. Authors introduce planar FDA array instead of linear FDA array and realize the planar array using cylindrical dielectric resonator antenna array (CDRA). A planar array consists of 8 × 8 CDRA is used to enable the detection of single target/multi-target. The operating frequency of the antenna is set at 10 GHz, aligning with its applications in the FDA radar. The radiation characteristics of the CDRA antenna element are introduced. High maximum gain of 6 dBi is achieved with a remarkably high efficiency. A set of representative results is reported and analyzed to assess the effectiveness of the proposed approach.

Racial Disparities in Sports Cardiology

ImportanceRacial disparities in cardiovascular health, including sudden cardiac death (SCD), exist among both the general and athlete populations. Among competitive athletes, disparities in health outcomes potentially influenced by social determinants of health (SDOH) and structural racism remain inadequately understood. This narrative review centers on race in sports cardiology, addressing racial disparities in SCD risk, false-positive cardiac screening rates among athletes, and the prevalence of left ventricular hypertrophy, and encourages a reexamination of race-based practices in sports cardiology, such as the interpretation of screening 12-lead electrocardiogram findings.ObservationsDrawing from an array of sources, including epidemiological data and broader medical literature, this narrative review discusses racial disparities in sports cardiology and calls for a paradigm shift in approach that encompasses 3 key principles: race-conscious awareness, clinical inclusivity, and research-driven refinement of clinical practice. These proposed principles call for a shift away from race-based assumptions towards individualized, health-focused care in sports cardiology. This shift would include fostering awareness of sociopolitical constructs, diversifying the medical team workforce, and conducting diverse, evidence-based research to better understand disparities and address inequities in sports cardiology care.Conclusions and RelevanceIn sports cardiology, inadequate consideration of the impact of structural racism and SDOH on racial disparities in health outcomes among athletes has resulted in potential biases in current normative standards and in the clinical approach to the cardiovascular care of athletes. An evidence-based approach to successfully address disparities requires pivoting from outdated race-based practices to a race-conscious framework to better understand and improve health care outcomes for diverse athletic populations.

Heavens of Knowledge: The Order of Sciences in Dante’s Convivio

The essay focuses on Dante’s divisio scientiae presented in the second book of his Convivio. As a first step, it offers a fresh reading of Dante’s description of knowledge and the cosmos, emphasizing its deeply visual nature. The article then presents an overview of the Medieval tradition of the divisio scientiae, culminating with divisions that are geographically and chronologically close to Dante’s Florence. In relation to Brunetto Latini’s Rettorica and Tresor, new evidence is provided to elucidate his peculiar division of logic. Ultimately, Dante’s divisio and its objectives are reassessed in light of their historical background, underscoring their cosmological and totalizing scope. Adopting an interdisciplinary approach, the findings consider cognitive practices, such as diagrams, and examine a wide array of sources within their historical and institutional context, highlighting their transmission and dissemination.

Economic Viability of Cutting-Edge Genetic Treatments: Balancing Innovation and Fiscal Sustainability in India's Healthcare Sector

Recent breakthroughs in genetic treatments offer unprecedented opportunities for addressing previously incurable conditions, but their astronomical costs present significant challenges to healthcare systems globally, particularly in developing economies like India. This comprehensive study conducts an in-depth economic analysis of three recently approved genetic treatments, meticulously comparing their long-term financial impacts with traditional care methods in the Indian healthcare context. Utilizing advanced economic modeling techniques and drawing from a diverse array of data sources including clinical studies, real-world evidence, and Indian health databases, we evaluate the treatments' cost-effectiveness, budget impact, and potential for long-term savings over an extended 30-year period. Our findings reveal a complex economic landscape: while these cutting-edge treatments require substantial initial investments, ranging from Rs. 10 crore to Rs. 18 crore per patient, they may offer significant long-term economic benefits in specific scenarios. The study goes beyond mere cost analysis, exploring the broader economic implications of these treatments, including their potential impact on workforce productivity, caregiver burden, and the development of India's biotechnology sector. We propose a comprehensive framework for assessing the economic sustainability of such high-cost treatments, taking into account both immediate budgetary constraints and potential long-term societal benefits. Furthermore, we discuss detailed policy implications for the integration of these treatments into India's healthcare system, emphasizing the need for innovative financing mechanisms, value-based pricing models, and adaptive health technology assessment methods. This research aims to provide policymakers, healthcare providers, and industry stakeholders with crucial insights to navigate the complex intersection of medical innovation and economic sustainability in the rapidly evolving landscape of genetic treatments.

Using the phase characteristic for source depth discrimination with a horizontal line array for a broadband source

A solution to the problem of source depth discrimination in a shallow water waveguide is proposed for the case of a horizontal line array and low-frequency broadband sources. The method divides the horizontal line array into two subarrays with the same number of elements and then calculates the cross-power spectrum of beamforming pressure outputs of the subarrays. Depth-dependent features of phase fluctuation in the cross-power spectrum are analyzed using longitudinal correlation, and depth-separable decision metrics are defined. These decision metrics are poorly impacted by the energy distribution of the signal spectrum. Depth discrimination relies on the phase variation of the cross-power spectrum, and thus does not require mode space information or geoacoustic parameters as the prior knowledge, but sufficient effective horizontal apertures. Due to the application of beamforming, array gain can be obtained to improve the input signal-to-noise ratio of the phase feature-based discriminators. Simulations and Monte Carlo methods are applied to performance predictions and method comparison. The impact on the performance of signal-to-noise ratio, horizontal aperture, and array overlap is numerically studied. Finally, the method is experimentally demonstrated with data from a bottom-mounted horizontal line array deployed in the South China Sea, and the applicability of array overlap is illustrated.

Asian = machine, Black = animal? The racial asymmetry of dehumanization.

How different racial minorities experience racism differently remains underexplored in existing research. Here, we show that Asian and Black people are often dehumanized differently. Twelve studies spotlight a racial asymmetry in dehumanization using a wide array of methods (experimental, archival, and computational) and data sources (online samples, word embeddings, and U.S. Bureau of Labor Statistics data): Whereas Black people are more often subjected to animalistic dehumanization, Asian people are predominantly subjected to mechanistic dehumanization. We demonstrate this asymmetry from the vantage point of victims (Studies 1a and 1b) and perpetrators (Studies 2a-2d). We further document the prevalence of this asymmetry across diverse domains, from everyday language (Study 3) to perceptions in the realms of romantic relationships (Study 4a), crime rates (Study 4b), and business skills (Study 4c). Finally, we demonstrate the asymmetry's real-world consequences in labor market segregation (Studies 5 and 6). Our findings shed light on the distinct experiences of racism encountered by different racial groups and, more critically, introduce a framework that unifies and integrates scattered empirical observations on perceptions of Asian people. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Optimizing the feasibility of polyvinyl alcohol-potassium iodine gel for medical dosimeter

This work aims to improve the post stabilty of reusable potassium iodide hydrogel dosimter. A reusable and low-cost radiochromic dosimeter containing a gel matrix of polyvinyl alcohol, potassium iodide dye, froctose as reducing agent and glutaraldehyde as cross-linking agent was developed for dose calibration in radiotherapy. The gel samples were exposed to different absorbed doses using a medical linear acceleration. UV–vis Spectrophotometry was utilized to investigate the changes in optical-properties of irradiated gels with regard to peak wavelength of 353 nm. The stability of the gel (one of the most limitation of using this dosimeter) was improved significantly by the addition of certain concentrations of dimethyl sulfoxide. The two-dimensional optical imaging system of charge-coupled-device (CCD) camera with a uniform RGB light-emitting-diode (LED) array source was used for diffusion coefficient purpose using two dimensional gel template. The value of diffusion coefficient reported is significant and highly reduced compared with other dosimeters reported in the literatures. Moreover, heating the improved gels to certain temperatures results in resetting their optical properties, which makes it possible to reuse for multiple times.

Soulful Rhythm, Dancing Bodies: Spirituality, Pain Tolerance, and the Risk of Lower Extremity Musculoskeletal Injuries Among Classical Kathak Dancers of India

Background: Dance and dancers reflect happiness, sadness, passion, anger, and all other emotions as every single dancing movement carries a significant signal that goes beyond words. Kathak, an Indian classical dance form, requires a divine balance between the soul and the physical body. This balance allows for a high pain tolerance of the dancers, but the spiritual nature of this dance form also generates ignorance and disinterest in their health seeking behavior towards injuries. Objectives: This comprehensive narrative review is aimed at exploring and examining the prevalence of lower extremity musculoskeletal injuries among Kathak dancers and proposes management strategies for their prevention and treatment. Methods: This review is based on a search of relevant articles, research papers, books and book chapters conducted across a wide array of online sources, utilizing the search engines like PubMed, Medline, CrossRef; etc. Considering the inclusion criterion, the review process included three stages: initial assessment of papers through title and abstract review, a detailed examination of relevant items, and systematic compilation of pertinent information into a categorized table under topical headings. Results: The review finds that the majority of injuries were reported in the foot and ankle region of dancers practicing Kathak. Conclusion: There is a need to develop supplementary exercise training programs and also spread awareness among dancers regarding their physical health and seeking medical care in time to delay/prevent lower extremity injuries.

Turkey’s Evolving Political Terrain: A Study of Post-2016 Coup Relations Involving Religious and Sociopolitical Movements

ABSTRACT This article undertakes an examination of the pro-government İsmailağa movement and the Adnan Oktar movement in Turkey, delving into the nuances of their affiliations with the AK Party (Adalet ve Kalkınma Partisi, Justice and Development Party) and, specifically, with Turkish President Recep Tayyip Erdoğan following the coup attempt in 2016. It seeks to address the following questions: How did the 2016 coup attempt in Turkey impact the dynamics shaping the AK Party government’s interactions with religious movements such as İsmailağa and the Adnan Oktar movement, and what factors contributed to the intricacies and shifts observed in power dynamics within this framework? Furthermore, what potential ramifications do these transformations entail for political and religious influence within the nation? The thesis posits that despite Erdoğan’s reliance on religious movements as a voting bloc and a critical element in efforts to fill the void left by the exclusion of the Fethullah Gülen movement from governmental positions, religious movements do not enjoy the same degree of autonomy as they did prior to the coup attempt. Moreover, Erdoğan has adopted a more circumspect and distrustful stance, not only toward dissenting movements but also toward pro-AK Party movements. By concentrating on İsmailağa and the Adnan Oktar movement, we can discern Erdoğan’s disposition toward religious movements and the shift that has manifested in the relationship between the government and religious movements. This article draws upon a diverse array of sources, including deliberations from Turkey’s Grand Assembly, to glean insights into the interactions between the government and religious movements.

Study of the inverse continuous Bernoulli distribution

The continuous Bernoulli distribution, a one-parameter probability distribution defined over the interval [0, 1], has recently garnered increased attention in the realm of applied statistics. Numerous studies have underscored both its merits and limitations, alongside proposing extended variants. In this article, we introduce an innovative modification of the continuous Bernoulli distribution through an inverse transformation, thereby introducing the inverse continuous Bernoulli distribution. The main characteristic of this distribution lies in its transposition of the continuous distribution’s properties onto the interval \( [1, +\infty)\), without necessitating any additional parameters. The initial section of this article elucidates the mathematical properties of this novel inverse distribution, encompassing essential probability functions and quantiles. Inference for the associated model is carried out via the widely employed maximum likelihood estimation method. To evaluate the efficacy of the estimated model, a comprehensive simulation study is conducted. Subsequently, the model’s performance is assessed in a practical context, using data sets from a diverse array of sources. Notably, our findings demonstrate its superior performance in comparison to a broad spectrum of analogous models defined over the support interval \( [1, +\infty)\), even surpassing the established Pareto model.

INTERNATIONAL MECHANISM FOR PREVENTION OF TRAFFICKING OF WOMEN AND THE LEGAL ANGLE RELATED TO THIS

The research paper titled ‘‘International Mechanisms for Prevention of Trafficking of Women and The Legal Angle related to this" deals with the multifaceted and critical issue of trafficking of women, exploring the intricate web of international mechanisms and legal frameworks that seek to prevent and address this grave violation of human rights. The paper delves into the systemic factors, vulnerabilities, and repercussions of trafficking, with a specific focus on its disproportionate impact on women. The research systematically examines a range of international mechanisms, agreements, conventions, and protocols that have been established to combat trafficking, shedding light on the collaborative efforts of the nations and many international organizations to eradicate this heinous practice. This research paper examines the global frameworks established to prevent and address trafficking in women, and explores the legal dimensions and implications of these frameworks. Drawing on a comprehensive array of legal sources, case studies, and empirical data, the paper dissects the legal dimensions of trafficking, analysing the complexities of defining and prosecuting this crime on a global scale. It scrutinizes the challenges posed by differing legal definitions and interpretations across jurisdictions, highlighting the necessity for harmonization and standardization of legal frameworks to effectively address trafficking and provide justice for victims. The paper also investigates the vital role of international organizations, including the United Nations and its various agencies, in developing and executing strategies for prevention, victim protection, and prosecution. Ultimately, the research paper underscores the urgent necessity for a unified and coordinated international strategy to tackle the trafficking of women. It underscores the importance of aligning legal frameworks, enhancing cross-border cooperation, and fostering a global commitment to eradicating this abhorrent practice. By shedding light on the intricate web of international mechanisms and legal angles surrounding trafficking of women, the research paper contributes valuable insights and recommendations to the ongoing global efforts to prevent and address this deeply concerning violation of human rights.

EUROPEAN APPROACHES AND REGULATORY MECHANISMS OF ECOLOGICAL AND HYGIENIC MONITORING FROM THE PERSPECTIVE OF POTENTIAL HARMONIZATION AND IMPLEMENTATION INTO DOMESTIC LEGISLATION

Background. The usage of pesticides against pests is also accompanied by potential negative effects on non-target organisms. The risk of harm to biodiversity is quite significant. Implementation of ecological and hygienic monitoring strategies, which is quite effectively applied in the countries of the European Union, will allow to reduce potential threats, financial costs and unforeseen consequences for beneficial insects, birds, aquatic organisms, etc. Aim: analysis of European approaches and regulatory mechanisms of ecological and hygienic monitoring from the standpoint of potential harmonization and implementation in Ukrainian legislation field. Materials and methods. Data from the literature and regulatory documents of the European Union in the field of environmental assessment and ecological and hygienic monitoring were used for the analysis. An array of literary sources was analyzed, which included the most relevant, up-to-date articles over the past 5 years and valid regulatory documents that have the greatest potential for implementation into the national regulatory framework. Results. In the EU and the US, a strict risk assessment process is in place to obtain permission to use pesticides, taking into account the potential impact on non-target organisms. Risk assessment of the use of chemical plant protection on the ecosystem and monitoring of the condition of non-target kinds of objects in the territories of intensive agricultural management is carried out at the stage of pre-registration tests. State regulatory agencies primarily require data on average lethal doses and concentrations for some bird kinds (Colinus virginianus, Anas platrynchos, Perdix perdix, Coturnix japonica). However, there are studies that describe the effects on smaller songbirds that are more sensitive to acute poisoning, therefore, to consider the established standards only for large birds is rather imperfect and needs to be refined in Ukrainian practice in the future. The European rules of environmental risk assessment (ERA) have undergone significant changes in recent decades, which have caused many scientists to worry about insufficient plant protection, slow implementation of scientific developments, simplification of environmental relevance and priority. Also, in many normative documents on pesticides, a political trail is traced, which is sometimes difficult to define and measure. Conclusion. The adoption and implementation of new laws in the field of chemical plant protection in the EU countries are the basis for improving the legislation of Ukraine in this field and ensuring state regulation in the handling of pesticides and agrochemicals.

Characteristics and features of Kazakhstan’s water security policy

Amidst the complex geopolitical dynamics of Central Asia, Kazakhstan grapples with urgent water security issues exacerbated by climate change, underscoring the critical need to examine this issue within the context of regional security. Therefore, this study seeks to comprehensively analyze Kazakhstan’s water security policy, examining its various elements and components at national and regional levels. Using system analysis and statistical techniques, data were collected from an array of sources, including strategies, development plans, statistical reports, analytical articles, methodological guidelines, and official government and international organization websites. The analysis revealed key challenges in Kazakhstan’s water security, including deteriorating infrastructure, outdated management practices, vulnerability to floods and low water levels, inadequate training, and regulatory deficiencies. A novel approach is offered by examining current trends in Kazakhstan’s water security domain, which involves scrutinizing the activities of relevant state bodies and analyzing regulatory frameworks amid rapid climate shifts. Additionally, the heightened potential for conflict across the continent was recognized. Despite earnest attempts to mitigate these challenges, the country confronts imminent water shortages exacerbated by heightened consumption and dwindling runoff from neighboring states. In light of these findings, policymakers and stakeholders are urged to devise robust policies and management strategies aimed at fortifying water security and addressing the underlying vulnerabilities in this critical domain.

Optimizing healthcare resource allocation through data-driven demographic and psychographic analysis

This paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources and analysis techniques, challenges, future directions, and innovations. Demographic analysis provides insights into population characteristics, healthcare demand, and disparities, informing targeted resource allocation strategies. Psychographic analysis complements demographic data by elucidating patient attitudes, behaviors, and preferences, guiding personalized care delivery and intervention design. A diverse array of data sources, including electronic health records, surveys, and geospatial data, underpins healthcare resource allocation. Advanced analysis techniques such as predictive analytics and machine learning unlock actionable insights from these data sources, enabling proactive resource allocation and optimization. Challenges such as data quality, bias, and ethical considerations underscore the complexity of healthcare resource allocation. However, emerging innovations, including artificial intelligence, precision medicine, and value-based care models, offer transformative potential for optimizing resource allocation and improving patient outcomes. Looking ahead, the integration of innovative technologies and patient-centered care models promises to reshape healthcare resource allocation, emphasizing equity, efficiency, and patient engagement. By navigating challenges thoughtfully and embracing future opportunities, healthcare systems can enhance resource allocation strategies to better meet the evolving needs of patients and communities. This paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources and analysis techniques, challenges, future directions, and innovations. Demographic analysis provides insights into population characteristics, healthcare demand, and disparities, informing targeted resource allocation strategies. Psychographic analysis complements demographic data by elucidating patient attitudes, behaviors, and preferences, guiding personalized care delivery and intervention design. A diverse array of data sources, including electronic health records, surveys, administrative databases, geospatial data, and social determinants of health data, underpins healthcare resource allocation. Advanced analysis techniques such as predictive analytics, machine learning, spatial analysis, and simulation modeling unlock actionable insights from these data sources, enabling proactive resource allocation and optimization. Keywords: Healthcare Resource Allocation, Demographic Analysis, Psychographic Analysis, Data Sources, Advanced Analysis Techniques, Future Directions.

Историческая политика Польской Народной Республики в 1980-е гг.: особенности трансформации

The article examines the transformation of the historical politics of the Polish People’s Republic in the 1980s. The author proceeds from the position that the commemorative practices of the Polish socialist government experienced significant external influence from the “mnemonic actors” opposed to the state − the Solidarity trade union and the Polish Catholic Church. The purpose of the study is to analyze the transformations of commemorative practices in the conditions of confrontation between the Polish United Workers’ Party and opposition structures. The works of domestic and foreign authors on the problem of research are noted, in which experts analyzed historical politics through the involvement of didactic literature, paid attention to anniversaries and memorable dates of socialist Poland, and also used a semiotic approach. Relying on a wide array of narrative sources, the author traces the structural changes in the historical policy of V. Jaruzelski: the reform of history textbooks, the actualization of previously suppressed historical events, the institutionalization of the academic community of historians under the auspices of the Polish Historical Society. It is noted that the impulse to modify commemorative practices was the spread of alternative versions of the past by the opposition, which contributed to their actualization in the collective memory of Polish society. The author focuses on the role of the Polish-born Pope John Paul II, whose visit to socialist Poland in 1983 actualized the events related to the Holocaust and the Warsaw Uprising of 1944. It is concluded that the anti-communist forces of the Polish People’s Republic influenced the transformation of the course of historical politics due to the popularity of institutions opposed to the state in the conditions of permanent socio-economic and political upheavals in the country in the 1980s.