Latest Data Research Articles

Methods of active friction control in the presence of lubricant compositions with mesogenic additives

Purpose of research. The aim of the study is to systematize the latest literature data related to the modulation of the friction coefficient by external fields when using lubricant compositions with liquid crystal mesogens and polymer composites.Methods. The article considers the methods of tribological tests using various schemes of friction pairs (cylinder-disk, pin-on-disk). Some commonly used methods of applying coatings to the elements of friction pairs are considered: ion beam-assisted deposition, chemical and physical thermal spraying, molecular layer deposition, photopolymerization, etc. Of the discussed methods of characterizing tribosystems, the following are indicated: dielectric spectroscopy, Raman scattering, polarization optical microscopy, nuclear-physical methods (positron annihilation spectroscopy and Xray diffraction).Results. The article systematizes modern trends in the development of modulated modes of operation of tribological circuits with lubricant compositions containing liquid crystals and polymer composites. The following approaches are used to implement active control of the friction coefficient: 1) modulation of friction by an electric field, 2) modulation of friction by a temperature field, and 3) modulation of friction on optical gratings under light irradiation. These approaches take into account the changed characteristics of the lubricant associated with the use of mesogenic additives, modes of exposure to electromagnetic and thermal fields, electrical characteristics, geometry of the surface of friction pairs, and provide the values of tribological characteristics (friction coefficient and wear) that are achieved as a result of friction modulation.Conclusion. A positive effect of mesogenic additives of liquid crystals and polymers on tribological characteristics with active control of the friction coefficient has been established: a decrease in the friction coefficient is observed, which helps to reduce material wear.

Assessing the adequacy of health facilities for the aging population in Indian cities

India, a developing country and currently the most populous nation, has been experiencing a rapid and unpredictable increase in the proportion of its older population. The healthcare system is already struggling to meet the needs of the current population, and the rising number of older adults is expected to further strain resources. Therefore, this study aimed to investigate the distribution of the older population in Indian cities and their access to advanced health facilities. The study uses data from Census of India, 2011, which is the latest census data available. A Health Facilities Index was developed to assess the availability of health facilities, and a geospatial approach was adopted to determine aging patterns and access to health facilities across cities. Despite similar aging trends, health infrastructure was unevenly distributed across cities. The study revealed that advanced health facilities were concentrated in specific areas, primarily metropolitan cities, whereas smaller cities lacked adequate health facilities and accessibility. Therefore, improving health infrastructure in smaller cities to match that in larger ones should be prioritized. The findings highlight a notable infrastructure gap in Indian cities, which presents a significant challenge to achieving healthy aging in the country.

Perry Disease: Current Outlook and Advances in Drug Discovery Approach to Symptomatic Treatment.

Perry disease (PeD) is a rare, neurodegenerative, genetic disorder inherited in an autosomal dominant manner. The disease manifests as parkinsonism, with psychiatric symptoms on top, such as depression or sleep disorders, accompanied by unexpected weight loss, central hypoventilation, and aggregation of DNA-binding protein (TDP-43) in the brain. Due to the genetic cause, no causal treatment for PeD is currently available. The only way to improve the quality of life of patients is through symptomatic therapy. This work aims to review the latest data on potential PeD treatment, specifically from the medicinal chemistry and computer-aided drug design (CADD) points of view. We select proteins that might represent therapeutic targets for symptomatic treatment of the disease: monoamine oxidase B (MAO-B), serotonin transporter (SERT), dopamine D2 (D2R), and serotonin 5-HT1A (5-HT1AR) receptors. We report on compounds that may be potential hits to develop symptomatic therapies for PeD and related neurodegenerative diseases and relieve its symptoms. We use Phase pharmacophore modeling software (version 2023.08) implemented in Schrödinger Maestro as a ligand selection tool. For each of the chosen targets, based on the resolved protein-ligand structures deposited in the Protein Data Bank (PDB) database, pharmacophore models are proposed. We review novel, active compounds that might serve as either hits for further optimization or candidates for further phases of studies, leading to potential use in the treatment of PeD.

CANVAR: A Tool for Clinical Annotation of Variants Using ClinVar Databases.

Genomic medicine has transformed clinical genetics by utilizing high-throughput sequencing technologies to analyze genetic variants associated with diseases. Accurate variant classification is crucial for diagnosis and treatment decisions, and various tools and software such as the Ion Reporter Software and the Illumina Nirvana Software often used in a clinical setting utilize information from the ClinVar database/archive to aid in variant interpretation. However, these existing annotation tools may lack access to the latest ClinVar data, necessitating manual variant inspection. To address this gap in developing a tool providing the latest ClinVar data for variant annotation in clinical and research settings. We introduce CANVAR, a Python-based script that efficiently annotates variants identified from next-generation sequencing in a clinical or research context, offering comprehensive information from the latest ClinVar database. CANVAR provides accurate, up-to-date variant annotations, streamlining variant analysis. The rise in genomic data requires accurate variant annotation for clinical decision-making. Misclassification poses risks, and current tools may not always access the latest data, challenging variant interpretation. CANVAR contributes to enhancing variant annotation by offering comprehensive information from the latest ClinVar database for genetic variants identified through next-generation sequencing.

Role Of Cooperatives In Promoting Organic Farming In Uttar Pradesh

The shift toward organic farming in India, especially in Uttar Pradesh, has been accelerating in recent years. Cooperatives are playing a critical role in this transformation by providing farmers with the necessary support for adopting organic practices. This research paper examines the role of cooperatives in promoting organic farming in Uttar Pradesh, using data from 2024, to understand their impact on agricultural productivity, environmental sustainability, and farmer income. The paper presents a detailed analysis of the various initiatives undertaken by cooperatives, and government interventions, and highlights the challenges and opportunities for future expansion. Latest data is provided through tables that detail organic farming area, farmer participation, and cooperative initiatives.

Analysis of the global burden of CKD-T2DM in young and middle-aged adults in 204 countries and territories from 2000 to 2019: A systematic study of the global burden of disease in 2019

BackgroundDiabetes stands as a principal risk factor for severe complications including renal and cardiovascular diseases. The gradual rise in type 2 diabetes cases globally, coupled with a trend towards younger demographics, has led to an escalating prevalence of chronic kidney disease. However, its etiology is multifaceted, necessitating individualized treatment and refinement, particularly crucial in screening and managing the burden of CKD-T2DM. A comprehensive analysis of CKD-T2DM burden at global, regional, and national levels from 2000 to 2019, based on the latest data, can inform screening, early diagnostics, and treatment strategies, thereby optimizing healthcare resource allocation. MethodsUtilizing data sourced from the Global Burden of Disease (GBD) database, we delineated the incidence, mortality, and DALYs rates of CKD-T2DM from 2000 to 2019 across global, regional, and national scales. We summarized the age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized death rate (ASDR) of CKD-T2DM globally, regionally, and nationally, presenting them visually. Moreover, we calculated and visually depicted the estimated annual percentage change (EAPC) of various CKD-T2DM indicators at these levels. Additionally, CKD-T2DM patients were stratified by age to compare the age distribution of patient deaths and the age burden between 2000 and 2019. FindingsThe disease burden of CKD-T2DM among young and middle-aged individuals globally has shown a sustained increase from 2000 to 2019. Incidence, mortality, and DALYs rates have exhibited an overall upward trend, with males showing higher rates compared to females. Significant disparities exist among different countries and regions, with India, China, and Mexico emerging as the countries with the highest number of new cases. Nicaragua, Mexico, and the United Arab Emirates have the highest age-standardized incidence rates, whereas Uganda, Ethiopia, and Burundi have the lowest. At the age level, the burden of CKD-T2DM exhibits varying trends among different age groups but generally shows an upward trajectory, particularly in the 45–49 age bracket. High systolic blood pressure and high BMI stand as the primary contributing factors to mortality and DALYs, with variations in their influence observed across different regions and levels of development. Interpretationver the past 20 years, the burden of CKD-T2DM among young and middle-aged individuals globally has continued to increase, with disparities existing among different countries, regions, and age groups, but overall showing an upward trend. The reasons for this trend are multifaceted, including global lifestyle changes such as dietary shifts, sedentary lifestyles, obesity, as well as population aging and inadequate preventive measures in certain regions. Addressing these challenges necessitates optimizing screening methods, adjusting lifestyles, enhancing management strategies, improving medical care and awareness levels, particularly intensifying awareness and screening efforts among males, reinforcing prevention and control measures for the 45–49 age group, enhancing infrastructure and healthcare resources in developing countries, fostering international collaboration, and implementing context-specific measures.

SpaGRA: Graph augmentation facilitates domain identification for spatially resolved transcriptomics

Recent advances in spatially resolved transcriptomics (SRT) have provided new opportunities for characterizing spatial structures of various tissues. Graph-based geometric deep learning have gained widespread adoption for spatial domain identification tasks. Currently, most methods define adjacency relation between cells or spots by their spatial distance in SRT data, which overlooks key biological interactions like gene expression similarities, and leads to inaccuracies in spatial domain identification. To tackle this challenge, we propose a novel method, SpaGRA (https://github.com/sunxue-yy/SpaGRA), for automatic multi-relationship construction based on graph augmentation. SpaGRA uses spatial distance as prior knowledge and dynamically adjusts edge weights with multi-head graph attention networks (GATs). This helps SpaGRA to uncover diverse node relationships and enhance message passing in geometric contrastive learning. Additionally, SpaGRA uses these multi-view relationships to construct negative samples, addressing sampling bias posed by random selection. Experimental results show that SpaGRA demonstrates superior domain identification performance on multiple datasets generated from different protocols. Using SpaGRA, we analyzed the functional regions in the mouse hypothalamus, identified key genes related to heart development in mouse embryos, and observed cancer-associated fibroblasts enveloping cancer cells in the latest Visium HD data. Overall, SpaGRA can effectively characterize spatial structures across diverse SRT datasets.

The AMS-02 Cosmic-Ray Deuteron Flux is Consistent with a Secondary Origin

The recent measurements of cosmic-ray (CR) deuteron fluxes by AMS-02 show that the rigidity dependence of deuterons is similar with that of protons but flatter than 3He, which has been attributed to the existence of primary deuterons with abundance much higher than that from the Big Bang nucleosynthesis. The requirement of highly deuteron-abundant sources imposes a serious challenge to modern astrophysics since there is no known process to produce a large amount of deuterons without violating other constraints. In this work we demonstrate that the fragmentation of heavy nuclei up to nickel plays a crucial role in shaping/enhancing the spectrum/flux of the CR deuterons. Based on the latest CR data, the predicted secondary fluxes of deuterons and 3He are found to be reasonably consistent with the AMS-02 measurements, and a primary deuteron component is not needed. The observed differences between the spectra of D and 3He, as well as those between the D/4He (D/p) and 3He/4He (3He/p) flux ratios, measured in the rigidity space, is probably due to the kinetic-energy-to-rigidity conversion and the solar modulation, given different charge-to-mass ratios of D and 3He. More precise measurements of the fragmentation cross sections of various nuclei to produce deuterons, tritons, and 3He in a wide energy range will be very helpful in further testing the secondary origin of cosmic-ray deuterons.

Pediatric Pain

ABSTRACT OBJECTIVE This article reviews pain disorders encountered in pediatric neurology practice and provides current information regarding the assessment and treatment of pediatric chronic pain. LATEST DEVELOPMENTS Data about pediatric pain management remain sparse, owing to a dearth of controlled trials and longitudinal studies in these patients. However, the field of pain management and understanding of central and peripheral pain processing has expanded to allow more effective treatment of a broad group of children and adolescents with pain associated with neurologic disease. Neuroimaging visualizes sensory and nonsensory systems, and genetic markers of sensitivity and disease may guide specific therapy. The concept of central sensitization in chronic pain disorders has supported the development of multidisciplinary paradigms for the comprehensive care of these patients. ESSENTIAL POINTS Pain involves sensory activation and central nervous system modulation in pediatric patients. Pediatric neurologists should be prepared to define, investigate, and treat pain disorders in this complex patient population. Appropriate interventions during childhood may attenuate or prevent chronic pain later in life. Current interventions include behavioral, physical, and pharmacologic approaches, as well as potential noninvasive tools for neuromodulation. Research is progressing in sensory measurement, neuroimaging, genetics, and neuroinflammation to guide future targeted therapies.

Vanilla inflation predicts negative running

We show that the simplest, and currently favoured, theoretical realizations of cosmic inflation yield a sharp prediction for the running of the spectral index . Using latest cosmological data, we compute its marginalized posterior probability distribution over the space of nearly 300 models of single-field slow-roll inflation. The most probable value is , lying within the credible interval . Within the landscape of all the proposed slow-roll inflationary models, positive values for the running are therefore disfavoured at more than three-sigma.

Alleviating the Hubble tension using the Barrow holographic dark energy cosmology with Granda–Oliveros IR cut-off

ABSTRACT In this study, we investigate the Barrow holographic dark energy (BHDE) model with the Granda–Oliveros(G–O) infrared (IR) cut-off in the presence of neutrino masses, utilizing the latest observational data to address the Hubble tension. The GO cut-off is defined as $L_{\mathrm{ IR}}=(\alpha H^2 + \beta \dot{H})^{-1/2}$. We place constraints on the total neutrino mass $\sum m_{\nu }$ using data from Type Ia supernovae (SN) Pantheon, cosmic chronometers (CC), cosmic microwave background (CMB), Baryon Acoustic Oscillation (BAO) data sets, and Planck Lensing. Specifically, the comprehensive CMB + BAO + CC + Pantheon data set provides a total neutrino mass of $0.118\, \text{eV}$. The parameters for the Barrow-GO model are determined to be $\Delta = 0.0055^{+0.0086}_{-0.0086}$, $\alpha = 0.997^{+0.060}_{-0.060}$, and $\beta = 0.598^{+0.080}_{-0.080}$, showing good agreement with previous studies. One of the key findings of this study is the model’s ability to alleviate the Hubble tension, as evidenced by the comparison of $H_0$ measurements. Specifically, the tension value for the combination of data set (CMB + BAO + CC + Pantheon + Lensing) is $1.5\sigma$ with the Planck 2018 and $1.4\sigma$ with R22. These results underscore the importance of multi-data set integration in refining constraints on neutrino properties and highlight the model’s efficacy in probing fundamental aspects of neutrino physics. Our results demonstrate that the BHDE model with the GO cut-off can effectively address the Hubble tension, offering a coherent framework that reconciles local and cosmological measurements of the Hubble constant.

Получение и оценка биологической активности экзогенной мРНК, кодирующей белок MxA человека

Human MxA protein induced by type I and III interferons is an important innate immunity mediator, it shows antiviral activity against a broad spectrum of RNA and DNA viruses. According to the latest data, the MxA protein overexpression increases chemotherapy sensitivity and represents one of the favorable prognostic factors in patients with breast cancer. The exogenous mRNA capable of intracellular MxA protein production not only has the potential for treatment of viral respiratory infection, but also can become an important fundamental research tool. The study aimed to construct and produce the exogenous mRNA encoding the functional human cytoplasmic MxA protein by in vitro transcription (IVT); to study its translational properties; to assess and identify the patterns of the expression of some interferon system genes in response to introduction of this exogenous mRNA into cells. As a result of the study, the exogenous mRNAs capable of effective translation (up to 20 ng/mL of protein from 100 ng of mRNA per well of the 96-well plate) in the eukaryotic cell systems were successfully constructed and produced by IVT (in the amount of up to 200 µg); diffuse distribution of the MxA protein in the MDCK cells was confirmed; significant changes in the expression of the interferon-stimulated genes, such as OAS1, PKR (EIF2AK2), MDA5, RIG-I, were revealed. Our further research will be focused on assessing the developed exogenous mRNAs’ therapeutic potential against influenza A and B viruses, respiratory syncytial virus, and coronavirus SARS-CoV-2.

Beyond Guideline-Directed MedicalTherapy: Nonpharmacologic Management for Patients With HeartFailure.

Heart failure (HF) is a leading cause of cardiovascular morbidity, mortality, and health care expenditure. Guideline-directed medical therapy and device-based therapy in HF are well established. However, the role of nonpharmacologic modalities to improve HF care remains underappreciated, is underused, and requires multimodal approaches to care. Diet,exercise and cardiac rehabilitation, sleep-disordered breathing, mood disorders, and substance use disorders are potential targets to reduce morbidity and improve function of patients with HF. Addressing these factors may improve symptoms and quality of life, reduce hospitalizations, and improve mortality in heart failure. This state-of-the-art reviewdiscusses dietary interventions, exercise programs, and the management of sleep-disordered breathing, mood disorders, and substance use in individuals with heart failure. The authors review the latest data and provide optimal lifestyle recommendations and recommended prescriptions for nonpharmacologic therapies.

Link between pregnancy planning and antenatal care utilization in sub-Saharan Africa: An analysis of DHS data (2010-2023).

This study aims to analyse the relationship between pregnancy planning and antenatal care in sub-Saharan Africa and to identify which categories of mothers are most likely to make inadequate use of antenatal care in the event of a mistimed or unwanted pregnancy. The latest data from the Demographic and Health Surveys of 32 countries were analysed using bivariate and multivariate descriptive methods. The results show that compared with planned births, mistimed and unwanted births are respectively 27% (OR=0.733) and 29% (OR=0.711) less likely to have an antenatal visit in the first three months of pregnancy, and 25% (OR=0.752) and 29% (OR=0.705) less likely to have the four recommended antenatal visits. In addition, the births of the most privileged women (richest, educated and exposed to the media) are the least likely to have an adequate prenatal visit in the event of mistimed or unwanted pregnancies, probably due to an increased psychosocial impact linked to school dropouts, damage to professional projects and a desire to hide the pregnancy from those around her.

PENGENDALIAN PERSEDIAN PAKAN AYAM PETELUR MENGGUNAKAN METODE EONOMIC ORDER QUANTITY (EOQ) PADA PETERNAKAN XYZ DI BANYUWANGI

Delays in the supply of chicken feed at XYZ Farm resulted in a decrease in chicken egg productivity, resulting in chicken death. To ensure that production runs smoothly, XYZ Farms must guarantee the availability of raw materials for chicken feed. The aim of this research is to determine the ideal number of orders for chicken feed supplies to minimize feed shortages due to delivery delays. This research applies the Economic Order Quantity (EOQ) method to help XYZ farms manage the purchase of raw materials for chicken feed, and Single Exponential Smoothing to forecast supplies that are updated continuously by considering the latest data. The forecasting calculation uses an accuracy of 0.6 for the need for katul, corn and concentrate in January 2024. The results of the Economic Order Quantity (EOQ) calculation show that the optimal order for Katul is 6,702 kg, corn 29,190 kg, concentrate 25,402 kg. Orders are made 4 times a month, and Reorder Point is made when 1,586 kg of katul remains, 6,494 kg of corn and 8,742 kg of concentrate. Reordering or Reorder Point (ROP) is needed to overcome the potential for stock out during lead time TRANSLATE with x English Arabic Hebrew Polish Bulgarian Hindi Portuguese Catalan Hmong Daw Romanian Chinese Simplified Hungarian Russian Chinese Traditional Indonesian Slovak Czech Italian Slovenian Danish Japanese Spanish Dutch Klingon Swedish English Korean Thai Estonian Latvian Turkish Finnish Lithuanian Ukrainian French Malay Urdu German Maltese Vietnamese Greek Norwegian Welsh Haitian Creole Persian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster Portal Back //

Naringin and Naringenin: Potential Multi-Target Agents for Alzheimer's Disease.

Alzheimer's disease (AD) is one of the most common forms of neurodegenerative dementia. The etiology of AD is multifactorial, and its complex pathophysiology involves tau and amyloid-β deposition, increased oxidative stress, neuroinflammation, metabolic disorders, and massive neuronal loss. Due to its complex pathology, no effective cure for AD has been found to date. Therefore, there is an unmet clinical need for the development of new drugs against AD. Natural products are known to be good sources of compounds with pharmacological activity and have potential for the development of new therapeutic agents. Naringin, a naturally occurring flavanone glycoside, is predominantly found in citrus fruits and Chinese medicinal herbs. Mounting evidence shows that naringin and its aglycone, naringenin, have direct neuroprotective effects on AD, such as anti-amyloidogenic, antioxidant, anti-acetylcholinesterase, and anti-neuroinflammatory effects, as well as metal chelation. Furthermore, they are known to improve disordered glucose/lipid metabolism, which is a high risk factor for AD. In this review, we summarize the latest data on the impact of naringin and naringenin on the molecular mechanisms involved in AD pathophysiology. Additionally, we provide an overview of the current clinical applications of naringin and naringenin. The novel delivery systems for naringin and naringenin, which can address their widespread pharmacokinetic limitations, are also discussed. The literature indicates that naringin and naringenin could be multilevel, multitargeted, and multifaceted for preventing and treating AD.

Studies of the cultural layer of the cities of Ufa and Birsk (based on the example of the work of the archaeological expedition of the "Ancient Ufa" museum-reserve)

The article presents the results of an analysis of the latest data of recent years, obtained during archaeological research of the first fortified settlements on the territory of the Republic of Bashkortostan. In the course of the work the analysis reviewed materials from archaeological heritage sites located in the historical center of the modern cities of Ufa (“Hillfort Ufa-II” and “Cultural layer of Ufa dated the late 18th – early 20th century at 29 Sochinskaya street”) and Birsk (“Old Birsk, historical cultural layer and burial ground”). Despite the fact that archaeological sites are subject to a significant anthropogenic influence, the obtained corpus of sources complements the information about the formation of the Russian population and their local tangible culture in chronological terms between 16th and the early 20th century. Studied fragments of pottery revealed differences and features of pottery traditions in the ornamentation, shapes of dishes and additional processing. The materials obtained from the site of Ufa-II indicate local damage (redeposited layer) of the cultural layer and no stratified layers of the New Age. Despite a more significant anthropogenic impact Sochinskaya Street is found with a local patch of preserved cultural layer dated by the period in question. Thus, it will make the reconstruction of the main stages of development of the immediate surroundings of the Ufa Kremlin possible. Alongside it will allow analysis of the adjacent territory. The research on the territory of Birsk documents a good condition of the lower cultural layer of the 17th–18th centuries. The potential of archaeological research of the city lies not only in studying the local features of the tangible culture of the local population, but also in the opportunity to describe the period of the early Russian settlement in Bashkiria in the 16th–18th centuries.

Integrated Benefits of Sustainable Utilization of Construction and Demolition Waste in a Pressure-State-Response Framework

This study presents the first application of the pressure-state-response (PSR) model in the comprehensive assessment of construction and demolition waste (CDW) recycling benefits. Unlike traditional methods, the PSR model provides a multi-dimensional analysis that integrates economic, environmental, and social factors, offering a more holistic approach to evaluating the impact of CDW recycling strategies. This model enables stakeholders to better understand the pressures, states, and responses involved in CDW management, providing actionable insights to optimize recycling efforts and support sustainable urban development. Using the pressure-state-response (PSR) logical framework of sustainable economics, this paper systematically analyzed the comprehensive benefit mechanism of the recycling of construction and demolition waste (CDW), and designed a comprehensive benefit evaluation model for CDW recycling. At the same time, taking Chongqing as an example, the management status of construction and demolition waste, the supply and demand matching of sustainable recycling products, and the impact of the input and output of CDW management were analyzed. The results were as follows: (1) The recovery rate of urban manure fluctuated between 0.13 and 0.17, mainly in temporary landfill. (2) Based on the latest market demand data of CDW recycled products, the supply–demand ratio of recycled products fluctuated between 0.11 and 0.21. This change in the supply–demand ratio reflects improvements in recycling technologies, such as the introduction of C2CA technology, which has greatly increased the supply of high-quality recycled materials. In addition, government policies encouraging the use of recycled products in public projects have contributed to this shift, further aligning supply with market demand. (3) The benefit–cost ratio of CDW management reflects new recycling technologies and the improved efficiency of CDW management. The benefit–cost ratio, which currently fluctuates between 0.32 and 0.39, more accurately reflects the current state of CDW management, which is increasingly adopting advanced technologies, resulting in increased efficiency and reduced costs. Based on this, this paper discusses the supply–demand relationship and benefit–cost ratio in CDW management from supply-side and demand-side perspectives, and puts forward corresponding countermeasures and suggestions. The research results provide a clear reference for improving the efficiency of building demolition waste resource utilization, especially in optimizing the balance of market supply and demand, and improving the economic benefits of recycled products. By analyzing the balance between the supply and demand ratio and the benefit–cost ratio, this study helps inform policy makers, businesses, and investors, to promote the sustainable development of CDW recycling projects to maximize resource efficiency, while reducing environmental pressures. These results not only provide practical guidelines for the implementation of CDW recycling projects, but also lay a foundation for future policy formulation and the setting of industry standards.

AGRO PRODUCTS EXPORTS OF UKRAINE WITHIN ITS TRADE AGREEMENTS WITH THE COMMONWEALTH OF INDEPENDENT STATES

The aim of the research is to work out the recommendations on the geography of the agricultural products trade of Ukraine under the circumstances of the on-going war through the analysis of the trends and dynamics of the agro exports from Ukraine to the CIS, the agricultural products exports from Ukraine to the CIS countries possible correlation with each other, its direction and level. The data are the values of the agricultural products exports from Ukraine to the CIS countries from 2001 to 2023 included with the special identification of the years 2021-2023 as the year 2001 is the earliest one with the available data, 2021 is the pre-war year and 2023 – the year with the latest data available and the second year of the war. Such methods of scientific research as empirical, comparative and statistical analyses, including data mining, cleaning and processing, methods of correlation measuring like Pearson, Spearman and Kendal correlation tests, the method of exclusion, as well as textual and tabular methods for better data presentation and comparison were used while conducting the research presented in the given article. The conducted research indicated, that the agro exports of Ukraine to the following country – pairs appeared to be positively correlated: 1) Armenia – with Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyz Republic and Tajikistan, 2) Azerbaijan – with Belarus, Georgia, Kyrgyz Republic, Tajikistan and Uzbekistan, 3) Belarus – with Uzbekistan, 4) Georgia – with Kazakhstan, Kyrgyz Republic, Tajikistan and Uzbekistan, 5) Kazakhstan – with Kyrgyz Republic, Tajikistan and Turkmenistan, 6) Kyrgyz Republic – with Tajikistan, and 7) Tajikistan – with Turkmenistan.

Model-independent cosmographic constraints from DESI 2024

Context. We explore model-independent constraints on the Universe kinematics up to the snap and jerk hierarchical terms, considering the latest baryon acoustic oscillation (BAO) release provided by the DESI collaboration. Aims. We intend to place novel and more stringent constraints on the cosmographic series, incorporating three combinations of data catalogs: the first made by BAO and observational cosmic chronometers, the second made by BAO and type Ia supernovae, and the last including all the cited data sets. Methods. Considering the latest BAO data provided by the DESI collaboration and tackling the rd parameter to span within the range [144,152] Mpc, with a fixed step of δrd = 2 Mpc, we employed Monte Carlo Markov chain analyses based on the Metropolis algorithm to fix novel bounds on the cosmographic series, fixing the deceleration, q0 , the jerk, j0 , and the snap, s0, parameters, up to the 2σ level. A comparison between the results of the Planck satellite with those obtained by the DESI collaboration is also reported. Results. Our findings showcase a significant departure in terms of j0 even at the 1σ confidence level, albeit compatible with the ACDM paradigm in regard to q0 and s0 at the 2σ level. Analogously, the h0 tension appears alleviated in the second hierarchy when including snap. Conclusions. Our method excludes models that significantly depart from the standard cosmological model. Particularly, direct comparisons with the ACDM and wCDM models and the Chevallier-Polarski-Linder parameterisation are explored, which definitively favour the wCDM scenario over other approaches, contradicting the findings of the original DESI collaboration.