bluuebunny/crossref_metadata_2025 huggingface dataset:
Breast Cancer Detection Analysis Using Different Machine Learning Techniques: South Iraq Case Study
Authors: Abdulbaki Mahmood Salma , Jabbar Hammood Al-Battbootti Myssar , Shaheen Hamadi Saad , Marin Iuliana , Boiangiu Costin-Anton , Goga Nicolae
Published: February 2025

Contemporary oncology has seen a growing interest in digital technologies, whose integration with extensive healthcare and clinical data has raised new aspirations in managing patient profiles and organizing treatment plans. Among the commonly used digital technologies are Machine Learning (ML) methods that can perform many tasks, such as prediction, classification, and description, based on previously stored big data with high precision and speed. This study aims to develop a predictive ML model for early prediction of breast cancer based on a set of medically categorized risk factors. The locally collected database contained 415 instances from Al-Sadr Teaching Hospital in Basrah, Iraq, 219 (53%) of which were breast cancer patients, whereas 196 (47%) of them were control, respectively non-patients. It trained seven machine learning methods, namely Decision Tree (DT), Random Forest (RF), Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Logical Regression (LR), Multinominal Naïve Bayes (NB), and Gaussian NB. The dataset was cleaned and balanced before being used. The results proved the superiority of the Decision Tree model with 96% accuracy, 96% sensitivity, and 96% specificity, the Random Forest model with 94% accuracy, 100% sensitivity, and 87% specificity, and SVM model with 92% accuracy, 96% sensitivity, and 87% specificity, respectively. Other models gave diverging results. The current study concluded that modern technologies should be employed to raise awareness and control diseases. The need to adopt Electronic Health Records (EHR) to ensure the integration of clinical data of different types recorded over time for patients contributes to building accurate and reliable prediction models.
La evolución de la métrica de Instagram de la Escuela de Conducción Rapidrive
Authors: Andraus Quintero Cesar , Cedeño Alcívar Nestor David , Tocaín Wladimir , Sosa Maldonado Rina Alicia
Published: February 2025

Las redes sociales se han vuelto fundamentales en la comunicación y el marketing. Instagram, una de las principales plataformas, ofrece oportunidades para la interacción y el compromiso de la audiencia. Este estudio analiza la evolución de las métricas de Instagram de la Escuela de Conducción Rapidrive en el periodo de octubre de 2022 a mayo de 2023. Se evaluaron variables como el alcance, las interacciones y el crecimiento de seguidores a través de análisis cuantitativos. Los resultados destacan la importancia del contenido auténtico y de calidad para atraer seguidores y mantener el compromiso. La variabilidad en las métricas se analizó mediante medidas de tendencia central y dispersión, revelando patrones significativos. El crecimiento de seguidores y las tasas de interacción experimentaron fluctuaciones, influidas por eventos temporales y contenido específico. La estrategia de contenido en Instagram, incluyendo publicaciones, reels, historias y videos, desempeña un papel esencial en el alcance y el compromiso. La adaptación continua y la gestión activa de la comunidad son cruciales para el crecimiento sostenible. Los resultados ofrecen una base para futuras decisiones de marketing digital, aprovechando las preferencias cambiantes de la audiencia y las oportunidades en el entorno digital.
Cultura organizacional de las empresas familiares del Cantón Portoviejo
Authors: Guillén González María Gabriela , García Briones Martha Yadira
Published: February 2025

Los temas inherentes a cultura organizacional de las empresas familiares revisten una enorme relevancia socioeconómica. El cantón Portoviejo, de la provincia Manabí, Ecuador, está conformado generalmente por Mipymes, con un importante número de índole familiar. El objetivo de la investigación fue analizar la incidencia que tiene la cultura organizacional en el funcionamiento operativo de las empresas familiares de Portoviejo, Ecuador.  Se realizó una investigación cuantitativa de naturaleza descriptiva con enfoque de análisis multivariante, que permitió descubrir patrones, correlaciones, y dependencias entre múltiples dimensiones de datos de las famiempresas, tomando como base información primaria producto de las encuestas a los representantes de las empresas familiares. Para conocer la estructura de las empresas familiares se elaboró un cuestionario con ocho dimensiones. Los participantes del estudio fueron 368 personas quienes contestaron las preguntas de acuerdo a un cuestionario con escala Likert. Se determinó que la complejidad y la interconexión de los elementos que constituyen la gestión de empresas familiares subrayan la necesidad de un enfoque holístico y proactivo para asegurar su éxito y permanencia en el tiempo.
Análisis comparativo de la gestión de la imagen corporativa en Radio Sono Onda y San Gregorio Radio
Authors: Menéndez Jurado Génessis Zuleyka , Cedeño Bravo Mario Junior
Published: February 2025

En el competitivo mundo de la radiodifusión, la imagen corporativa de una emisora representa su identidad visual, y es un factor determinante en su éxito y relevancia en el mercado. El presente estudio tuvo como objetivo analizar la imagen corporativa de Radio Sono Onda y San Gregorio Radio como estrategia de posicionamiento. Fue una investigación observacional, explicativa, de campo y mixta. La metodología empleada comprendió la recopilación de datos a través de la observación, entrevistas semiestructuradas y encuestas a la audiencia. Los resultados obtenidos revelaron una percepción mayoritariamente positiva por parte de la audiencia, donde destacan atributos como la innovación, la confiabilidad y la coherencia en la imagen corporativa de ambas radios. Se observó asociación entre los valores de las marcas y la percepción que tienen los oyentes, lo que resalta la importancia de mantener una imagen corporativa sólida y coherente para fortalecer el posicionamiento en el mercado radiofónico. Este estudio subraya la relevancia estratégica de la imagen corporativa en el contexto de la radiodifusión, enfatizando la necesidad de mantener una identidad clara y consistente que resuene con la audiencia.
Comparison of Mean Platelet Volume (MPV) in Patients with Psoriasis and Healthy Individuals
Authors: Shehzade Komal , Zahra Saulat , Ishfaq Rabia , Samreen Kayinat , Khalid Maria , Usman Fahad
Published: February 2025

Background: Psoriasis is a chronic inflammatory skin condition affecting quality of life, with evidence suggesting a role for platelets in its pathogenesis. Mean Platelet Volume (MPV), a marker of platelet activation, may serve as a biomarker for systemic inflammation. This study aimed to compare MPV levels between psoriasis patients and healthy controls to assess its clinical utility.

Methods: A comparative cross-sectional study was conducted at Imran Idrees Teaching Hospital, Sialkot, from October 25, 2023, to March 25, 2024, with 200 participants aged 20-60, selected via non-probability consecutive sampling. Exclusion criteria included recent surgery, obesity (BMI > 30), and cardiovascular disease. Participants were divided into psoriasis patients (n=31) and healthy controls (n=169). MPV was measured using a Swelab Lumi hematology analyzer, and data were analyzed using SPSS version 23.0, with t-tests for group comparisons (p<0.05).

Results: A total of 200 participants were included in the study, of which 15.5% were diagnosed with psoriasis. The mean MPV was significantly higher in the psoriasis group (8.86 ± 1.42 fL) compared to controls (7.23 ± 0.57 fL), with a p-value of 0.00002. This elevation in MPV suggests a potential association between platelet activation and psoriasis-related inflammation.

Conclusions: This study shows a significant difference in MPV levels between psoriasis patients and healthy controls, indicating a role for platelets in psoriasis pathogenesis. Elevated MPV may serve as a non-invasive biomarker for systemic inflammation. Further research is needed to validate its clinical utility in diagnosis and management.
Impact of Smoking and Smokeless Tobacco on Salivary Flow Rate, pH Levels and Salivary Electrolytes
Authors: Hassan Syeda Sadia , Askary Syed Hussain , Bukhari Syed Mohammad Ahmed , Shaikh Amir Akbar , Zaidi Syed Akbar Abbas , Abdullah Abubakar , Shahid Hassan
Published: February 2025

Background: Tobacco use, both in smoked and smokeless forms, poses a significant threat to public health. The specific impact of tobacco use on the parameters of saliva still needs to be explored. Hence, the current study aimed to identify the impact of smoking and smokeless tobacco on salivary flow rate, pH levels, and salivary electrolytes.

Methods: This cross-sectional study was conducted at community health centers, dental clinics, and public spaces in Hyderabad from January 2024 to July 2024. A total of 150 smokers and smokeless tobacco users who were >18 years old were recruited via convenience sampling technique. MedCalc software was used, and a one-way analysis of variances was run to identify the differences in the values of groups. The level of significance was kept at 95% CI.

Results: Salivary flow rate, pH levels, and electrolyte measurements were analyzed, and the findings revealed that levels of the unstimulated flow rate of saliva were noticeably less (p<0.001) in both smoking and smokeless tobacco user groups compared to the control group.

Conclusion: Overall, the results underscore the dangerous impact of tobacco on oral health, highlighting the need for targeted interventions to reduce tobacco use and promote oral health awareness.
Diagnostic Accuracy of Non-Contrast Magnetic Resonance Imaging in Diagnosing Pituitary Micro-Adenoma, Taking Histopathology as Gold Standard
Authors: Sarfraz Sehar , Ali Tayyaba , Shafiq Pakeeza , Khan Zartashia , Azeem Waqar , Rasool Ghazala , Haq Ehsan Ul
Published: February 2025

Background: Pituitary microadenomas (PMs) are common benign tumors that are often not visualized even when they are present due to their asymptomatic nature. The objective of the study was to evaluate the diagnostic accuracy of non-contrast magnetic resonance imaging (MRI) in the diagnosis of pituitary microadenomas using histopathology as a gold standard.

Methods: This cross-sectional validation study (IRB Approval No. IRB/18/2024/01) included 121 patients presenting with severe headaches and focal brain lesions on CT scans at Doctors Hospital, Lahore from September 2024 to November 2024. In this cross-sectional study, a non-probability consecutive sampling technique was used. A standardized protocol was used for non-contrast MRI and findings were interpreted by experienced radiologists. The comparison was made against histopathology as the reference standard. A 2×2 contingency table was used to calculate sensitivity, specificity, positive predictive value and negative predictive value, and overall diagnostic accuracy by using SPSS version 25.

Results: Of 121 patients (mean age 40.74 ± 10.35 years), 70 (57.9%) were females. Non-contrast MRI showed a sensitivity and specificity of 37.25% (38/102) and 89.47% (17/19) respectively. Specificity is high, meaning that the modality is reliable in eliminating false positives, but sensitivity is low, which means that it won’t find true positives correctly. The percentage of diagnostic accuracy was 45.5% (55/121) which showed that the technique had room for significant improvement.

Conclusion: Pituitary microadenomas can be clinicopathologically screened using non-contrast MRI as an initial radiation-free diagnostic modality with minimal ionizing and contrast agents-based risk being valuable for long-term monitoring.
CONTEMPORARY SOCIAL ISSUES: A GLOBAL PERSPECTIVE
Authors: Dr. Dhanbanti Chanchal
Published: February 2025

In this age of fast technological development and globalisation, people all around the globe are facing complicated social problems that need new ways of thinking about things. This study of contemporary social issues covers a broad range of themes, including economic disparity, ethical concerns, policy implications, and the impact of literature and media on public opinion. The research utilises a variety of academic publications to demonstrate how globalisation has both exacerbated and created opportunities for socioeconomic inequality. Ethical theories like care ethics and consequentialist views could be very helpful for policymakers who want to protect vulnerable groups. Moreover, literary and artistic representations serve as powerful instruments for social critique, influencing public perception and governmental discourse. The research dives into how sociology overlaps with digital anthropology, healthcare, and environmental sociology, emphasising the need of multidisciplinary approaches in addressing modern issues. Embracing inclusive strategies that include moral reasoning, policy reform, and international cooperation is essential as societies continue to change. The study concluded that public engagement, new policies, and continuous research were essential for addressing contemporary social issues and advancing sustainable development.
THE ROLE OF CLUSTERIZATION OF ECONOMIC SYSTEMS IN THE IMPLEMENTATION OF TERRITORIAL DEVELOPMENT STRATEGIES
Authors: Khokhuliak Olesia
Published: February 2025

Introduction. Clustering of economic systems is an important tool for implementing territorial development strategies. It allows creating more effective economic connections between different sectors of the economy, contributing to business development, growth of business and innovation activity, increasing competitiveness and increasing investment attractiveness of territories.
Methods. The following methods were used during the research: analysis and synthesis, the method of a systems approach, the dialectical method, the monographic method, the logical and semantic method, the generalization method.
Results. In the process of refining the key characteristics of cluster structures and determining the role of clustering in economic systems, the level of interaction between participants has been identified, forming an analytical foundation for the further development and implementation of territorial development strategies. An analysis of the advantages and disadvantages affecting the clustering of economic systems has been conducted. Clusters facilitate the exchange of knowledge, technologies, and resources, enabling rapid adaptation to changes in the economic environment and the creation of unique competitive advantages. It has been established that territories where economic system clustering is actively taking place determine the competitiveness of the national economy, whose primary development concept is the substitution of imported goods in key strategically important industries.
Discussion. It has been proven that carefully developed cluster policy helps to increase the investment attractiveness of territories by attracting highly profitable traditional or innovative business entities, as well as the ability to quickly overcome narrow-sector limitations in development.
Keywords: clustering, strategy, development, cluster, economic systems, territories, competitiveness.
FISCAL STRATEGY OF UKRAINE UNDER GEOPOLITICAL CHANGES AND MARTIAL LAW
Authors: Pirnykoza Pavlo
Published: February 2025

Introduction. The relevance of the study is determined by the necessity to adapt fiscal policy to emerging challenges, including an increasing budget deficit, rising debt burden, and a shrinking tax base.
Methods. The study employs a comprehensive approach that includes a systemic analysis of macroeconomic indicators (GDP, debt burden, budget expenditure structure, and shadow economy levels), SWOT analysis to assess the strengths and weaknesses of fiscal policy, and a comparative analysis of the impact of crises on public finances. Empirical evaluation of key fiscal indicators is based on statistical data from the National Bank of Ukraine, the Ministry of Finance, and the State Statistics Service.
Results. The study reveals a shift in government spending priorities towards defense and social protection, leading to a decline in capital investments and heightened budgetary risks. A high level of shadow economy activity and reduced tax revenues exacerbate financial instability. The necessity for fiscal policy reform was substantiated, with a focus on economic de-shadowing, debt burden optimization, and budget resource redistribution towards long-term investments in critical infrastructure and innovative industries.
Discussion. Further research should focus on developing effective mechanisms to reduce debt dependency, implementing program-targeted financing, and analysing the impact of international financial assistance on Ukraine’s macroeconomic stability. Special attention should be given to the digitalization of tax administration and mechanisms for stimulating national production as key drivers of sustainable economic development.
Keywords: fiscal strategy, budget policy, public debt, macroeconomic stability, tax base, shadow economy, public expenditures.
INVESTMENT ATTRACTIVENESS OF HOUSING STOCK RECONSTRUCTION PROJECTS
Authors: Slobodeniuk Oleksandr
Published: February 2025

Introduction. The reconstruction of the housing stock is a current priority in urban development and real estate, as it enables the modernization of outdated buildings, improves their energy efficiency, and enhances living conditions. Investments in housing stock reconstruction are attractive due to their high liquidity and short payback period. At the same time, the development of an effective investment market in this area requires the creation of methodologies for evaluating investment attractiveness that take into account a wide range of factors, including economic, technical, social, and urban planning considerations.
Methods. The following research methods were employed to achieve the set objectives: the monographic method (for an in-depth study of the features of investment support for housing stock reconstruction projects); factor analysis (to identify the factors influencing the investment attractiveness of projects); and the abstract and logical method (for theoretical generalizations and formulating conclusions).
Results. It was proposed to view investment attractiveness as an integral indicator that encompasses development prospects, asset liquidity, financial stability, and the profitability of the reconstruction project. It depends on such parameters as the state of the real estate market, demand for construction products, the cost of materials, the efficiency of construction companies, projected economic indicators, and the social significance of the project.
The methods of assessing investment attractiveness were systematized and were provisionally divided into quantitative and qualitative approaches. Quantitative methods include Net Present Value (NPV), Discounted Payback Period (DPP), Internal Rate of Return (IRR), and the Accounting Rate of Return (ARR). They allow the calculation of a project’s economic efficiency based on financial indicators. Qualitative methods include the analysis of the investment climate, urban planning regulations, spatial factors, social and economic trends.
Discussion. An important role in determining the cost of reconstruction is played by the technical condition of the object; its evaluation is carried out within the framework of a technical inspection or construction and technical expertise. Spatial factors (location, infrastructure, transport accessibility, environmental condition, and architectural appearance) also determine investment attractiveness. Overall, modern assessment methods help minimize risks and make informed decisions.
Keywords: investment attractiveness, project, housing stock, efficiency.
Enhanced Food Demand Forecasting Using NARX Neural Networks
Authors: Brahmeswara Kadaru Dr. Bala , Roja Naviri
Published: February 2025

This study presents a novel approach to food demand forecasting using the Nonlinear Autoregressive Exogenous Neural Network (NARXNN) to enhance inventory management and minimize food waste. With the increasing global demand for food and the necessity for sustainable resource utilization, precise demand prediction is essential for optimizing supply chains. Unlike conventional forecasting models, this research leverages the advanced computational capabilities of NARXNN, which is well-suited for analyzing intricate datasets and improving predictive accuracy. Various network architectures are examined, focusing on the influence of hidden layers and neuron configurations on forecast precision for processed food items such as bread and butter. Experimental results demonstrate a significant enhancement in prediction performance, with R² values surpassing those of traditional methodologies. The findings underscore the effectiveness of NARXNN in refining food demand estimations, contributing to efficient inventory control and waste reduction. This model holds promise for integration into intelligent food management systems, offering a strategic tool for producers and retailers to optimize resource allocation in alignment with sustainability objectives.
Utilizing AlexNet and ResNet Architectures for Enhanced Detection of Alzheimer's Disease through MRI Analysis
Authors: Davuluri Ragavamsi , Kandula Ashok Reddy , Begum Shaik Salma , Yannam Adilakshmi , Guttikonda Keerthi
Published: February 2025

The 3D images of the human body, often obtained from Magnetic Resonance Imaging (MRI) scanner are being used to diagnose diseases for research purposes. Vaccines cannot prevent or treat chronic diseases, and no amount of therapy will make them better. Asthma, cancer, heart disease, diabetes, and Alzheimer's are just a few examples of chronic diseases. Without regular monitoring, Alzheimer's disease often remains undetected until it has advanced significantly, contributing to high mortality rates worldwide. With advancements in technology and understanding, there is a growing development of Machine Learning and Deep Learning techniques aimed at early detection of chronic conditions. In this study, we begin by employing a Median filter in the pre-processing stage to eliminate noise. ResNet-50 and AlexNet is then employed for visual feature extraction, which is used to determine sickness severity in the classification phase and categorise the MRI images and forecast Alzheimer's disease which achieved an Accuracy of 90% for ResNet-50 and 76% for AlexNet.
A STUDY ON PRODUCT QUALITY ON CONSUMER BRAND LOYALTY ON NESTLE PRODUCTS
Authors: Ms.S.Nimina  , Dr.M.Vadivel
Published: February 2025

The present research explores the link between product quality and brand loyalty for nestle, emphasizing how consumer satisfaction their loyalty to the brand. Based on a survey of 100 participants, the study finds that while many consumer rate nestle product quality as average or good, there is still room for improvement, especially in area like taste, flavour, and consistency. The study reveals a weak connection between product quality, such as marketing and consumer service, are crucial in building brand loyalty. Furthermore, the result point to gender-based difference in perception of product quality, suggesting the targeting marketing strategies could be beneficial. In conclusion, the study recommends that nestle enhance brand loyalty by focusing on maintaining consistent product quality and meeting the varied needs of its diverse customer base.
Intelligent System for Diabetic Retinopathy Detection Using Retinal Image Processing
Authors: Brahmeswara Kadaru Dr. Bala , Roja Naviri
Published: February 2025

This study investigates the application of Convolutional Neural Networks (CNN) and the Inception V3 model for automated detection and classification of diabetic retinopathy using retinal fundus images. Diabetic retinopathy remains a primary cause of vision impairment among the working-age population worldwide, necessitating efficient diagnostic solutions beyond conventional ophthalmic evaluations. This research leverages the DRIVE and STARE datasets to assess the effectiveness of CNN and Inception V3 in classifying diabetic retinopathy into five severity levels. Model performance is evaluated based on accuracy, loss, and predictive capability, with results demonstrating that Inception V3 outperforms CNN in both diagnostic precision and overall efficiency. The findings highlight the potential of deep learning techniques in revolutionizing retinal disease diagnosis, fostering early detection, and minimizing the risk of blindness. Additionally, this work emphasizes the broader implications of artificial intelligence in medical imaging, encouraging further advancements in automated healthcare diagnostics.
Analisis Yuridis Terhadap Tindak Pidana Korupsi yang Melibatkan Pengurus Korporasi (Studi Kasus Putusan PN Jakarta Pusat No.49/Pid.Sus-Tpk/2024)
Authors: Budiman Arif , Ajie Bintang Wicaksono
Published: February 2025

Penelitian ini menganalisis penerapan hukum dalam kasus tindak pidana korupsi yang melibatkan pengurus korporasi, khususnya kasus Direktur PT ADI INTI MANDIRI, sebagaimana tertuang dalam Putusan Pengadilan Negeri Jakarta Pusat Nomor 49/Pid.Sus-TPK/2024. Kasus ini berawal dari penyimpangan dalam pengadaan sistem pengawasan TKI di Direktorat Tenaga Kerja Luar Negeri, yang mengakibatkan kerugian negara. Analisis ini menunjukkan bahwa korporasi dapat dimintai pertanggungjawaban pidana atas tindakan pengurusnya, yang di dalamnya terlibat mekanisme kolusi dan manipulasi pengadaan. Dalam putusan, terdakwa dihukum penjara, denda, serta pembayaran uang pengganti. Studi ini menggunakan metode penelitian yuridis normatif untuk mengkaji putusan dan peraturan terkait. Penelitian ini menyoroti pentingnya sistem pengendalian internal yang kuat untuk mencegah penyalahgunaan kekuasaan dalam korporasi. Temuan ini menunjukkan bahwa penegakan hukum yang tegas dan dukungan kolaboratif dari pemerintah, sektor swasta, dan masyarakat sipil sangat penting untuk mencegah praktik korupsi, serta mewujudkan lingkungan bisnis yang transparan dan akuntabel di Indonesia.
La comunicación digital de la responsabilidad social promovidas por la empresas fast fashion dirigida a centennials en el año 2021
Authors:   , Samianiego Millan Leandra Regina
Published: February 2025

La investigación "La comunicación de la responsabilidad social promovida por empresas fast fashion dirigida a centennials a través de redes sociales en 2021" tuvo como objetivo describir las estrategias de comunicación de Shein y H&M en las redes sociales dirigidas a los centennials durante el año 2021. Utilizando un enfoque cualitativo, se observaron influencias significativas de factores externos, como la presión de grupos de interés y la percepción pública, en la formulación de estas estrategias. Además, se destacaron diferencias entre H&M y Shein, resaltando la importancia de la transparencia y la coherencia en la comunicación corporativa. La influencia de la comunicación de responsabilidad social en la percepción y respuesta de la audiencia centennial también fue evidente. En conclusión, se resalta la necesidad de considerar los factores externos, mantener la transparencia y coherencia en la comunicación, adaptarse a la audiencia centennial y estar abiertos a la retroalimentación para mejorar las estrategias de comunicación de responsabilidad social. Para investigaciones futuras, se propone un enfoque directo con las marcas y correlacionar el impacto de las campañas de responsabilidad social con el comportamiento de compra de los consumidores.
Critical review on nutritional, bioactive and medicinal potential of Bunium persicum
Authors: Bhatt Prachi , Pant Sonal , Bhardwaj Shaifali , Sneha Samna , Dobhal Priyanshu , Baunthiyal Mamta
Published: February 2025

Bunium persicum Boiss. Fedtsch., a highly valued spice crop from the Apiaceae family, is renowned for its rich phytochemical profile, including compounds such as cuminaldehyde, α-terpinene-7-al, γ-terpinene-7-al, γ-terpinene, p-cymene, and β-pinene. These bioactive constituents contribute to its diverse therapeutic properties, including antioxidant, antimicrobial, anti-inflammatory, lipid and glucose-lowering, and anti-carcinogenic activities. Due to its limited growth in specific wild regions and over-exploitation, B. persicum faces significant conservation challenges, both in vitro and in situ. In India, its primary hotspots are in Jammu and Kashmir, Himachal Pradesh, and Uttarakhand. This review provides a comprehensive examination of B. persicum’s functional properties, with a focus on its traditional uses, phytochemistry, and pharmacological activities, highlighting the need for its conservation and sustainable use.
Jogorvoslati aktualitások : D.116/10/2022. számú határozat
Authors: Horváth Éva
Published: February 2025

A Közbeszerzési Értesítő Plusz jelen számában ismertetett jogeset az aránytalanul alacsony ár indokolására vonatkozó eljárásban a Kbt. 73. § (1) bekezdés e) pontja szerinti egyéb okból történő érvénytelenség megállapításának jogszerű alkalmazásával, és a Kbt. 73. § (2) bekezdése szerinti érvénytelenségi októl történő elhatárolásával foglalkozik.

A jogorvoslati üggyel érintett tárgyak: Az árindokolás-kérésben megfogalmazott, a gyártással kapcsolatos olyan információk kérése az indokoláskéréssel érintett ajánlattevők felé, amelyek eredendően az ajánlati kiírásban nem szerepeltek, az árindokolás-kérésre adott ajánlattevői válaszok tartalmának értékelésekor nem vezethetnek az ajánlatok Kbt. 73. § (1) bekezdés e) pontja szerinti érvénytelenségének a megállapításához.
Simulation of bioconversion processes using larvae of the black soldier fly in the disposal of food waste in hospitals
Authors:   Don State Technical University, Krotova O. E. , Savenkov K. S. ,   St. Petersburg State Agrarian University, Anokhin A. M. ,   Novocherkassk Engineering and Reclamation Institute named after A.K. Kortunov, Don State Agrarian University, Chernyshkov A. S. ,   Don State Technical University, Eroshenko A. A. ,   Don State Technical University
Published: February 2025

Food waste is a social problem because it reduces the amount of safe and nutritious foods, increases the risk of infection due to improper disposal, attracts pests, promotes the growth of harmful bacteria and exacerbates environmental problems that threaten agricultural productivity. Research objectives: to find out how hospital food waste can be converted into nutrient-rich animal feed and fertilizers by setting standards based on the amount of food waste coming from inpatient patients; to analyze how various waste treatment methods affect the growth and absorption of nutrients by larvae. This study is relevant because it examines the use of larvae of the black soldier fly Hermetia illucens (H.Illucens) as a bioconversion agent in hospital settings. This is a relatively unexplored approach that promises the production of high-quality biomass for animal feed and organic matter. An effective model will help optimize the bioconversion process, thereby increasing the efficiency and effectiveness of food waste processing. Thus, this study may improve our understanding of food waste management in hospitals, especially in previously unexplored areas.
Evaluation of technological indicators of red grape varieties grown in Altai
Authors:   Ural State University of Economics, Neklyudov A. A. ,   Biysk Technological Institute (branch) of the Altay State, Rozhnov E. D. ,   Ural State University of Economics
Published: February 2025

Introduction. The article presents the results of a comparative assessment of the technological indicators of nine red grape varieties grown in the Altai Territory. Materials and methods. The mass concentration of sugars and titratable acids determined instrumentally (refractometrically and potentiometrically, respectively), as well as the sugar-acid index (calculated indicator) were assessed as technologically significant indicators of grape quality. Several statistical methods (analysis of variance, Tukey's test, and cluster analysis) were used to analyze the experimental results. Results and discussion. The work established that the highest amount of sugars was noted for the Zilga and ChBZ grapes, the lowest - for the Fioletovyj rannij and Zagadka Sharova varieties. At the same time, the highest content of titratable acids was noted for the Schwarz Riesling, Kaberne Severnyj (for the entire observation period), as well as for the Muscat Donskoy, Dornfelder and ChBZ varieties in 2024. The Zilga, Fioletovyj rannij and Zagadka Sharova grape varieties are characterized by a high sugar-acid index, which allows them to be consumed fresh or processed into wine products. At the same time, the low content of titratable acids in the Fioletovyj rannij and Zagadka Sharova grapes allows them to be used as a blending component to reduce the acidity of high-acid grape varieties. Cluster analysis made it possible to combine the studied varieties into separate groups based on the results of determining the physicochemical indicators. Conclusion. Statistically confirmed research results allow us to conclude that a number of grape varieties (Zilga, ChBZ, Fioletovyj rannij and Zagadka Sharova) have prospects for cultivation in the Altai Territory and further use as raw materials for the production of wine products. The Kaberne Severnyj and Schwarz Riesling grape varieties have low plant adaptability to the growing conditions in the region, which does not allow them to fully realize their potential as raw materials for winemaking.
Integration of IOT and Modern Technology in Agriculture: a Review
Authors: Aman Rehan
Published: February 2025

As the world progresses towards the modern era of science, a decrease in the death and disease rate has led to a tremendous increase in the population, which has stressed existing capabilities of resources, one of which is agricultural land and its production capacity. This phenomenon has highlighted the need for more efficient management methods to reduce stress on the field and effectively use the existing land resources. Modern agriculture has witnessed an integration of technology tools like IOT, GPS Monitoring, use of Robotics, Arduino and Drone usage into everyday operations like spraying, seeding, disease monitoring etc and the approach of Precision Farming. These technologies are helping to pave a way for a more efficient, time saving and labor saving farming style and can aid the aging farmer populations. This review aims at giving an insight summary into the modern world of agriculture and a description of the various technologies involved, hinting the way in which technology might show a potential to keep up with the need of the ever-growing global population and also discusses the scope of micro-algae cultivation through integration and implementation of IoT.
Studying the impact of local wheat varieties on finished product quality
Authors:   Assistant Teacher, Yangier Branch of the Tashkent Chemical-Technological Institute, Yangiyer, Uzbekistan, O‘ktamov Sh.B. , Raxmatov F.E. ,   Assistant Teacher, Yangier Branch of the Tashkent Chemical-Technological Institute, Yangiyer, Uzbekistan, Obloberdiyev S.N. ,   Assistant Teacher, Yangier Branch of the Tashkent Chemical-Technological Institute, Yangiyer, Uzbekistan, Raxmonberdiyeva S.B. ,   Student, Yangier Branch of the Tashkent, Chemical-Technological Institute, Yangiyer, Uzbekistan, Abdukarimova M.B. ,   Student, Yangier Branch of the Tashkent, Chemical-Technological Institute, Yangiyer, Uzbekistan
Published: February 2025

This study investigates the impact of local wheat varieties on the quality of the final product by analyzing key physicochemical properties. Laboratory tests were conducted to assess wheat samples based on test weight (775 g/L), moisture content (9.9%), gluten quality (98) and quantity (29%), transparency (55%), and impurity level (1.36%). The results classified the analyzed wheat as first-grade flour, indicating its suitability for high-quality product manufacturing. Understanding the influence of these parameters is crucial for optimizing flour processing and improving end-product characteristics.
Mechanisms of using modern computer programs in music lessons
Authors:   Urgench State Pedagogical Institute, 1st year master's degree in Music Education and Art, Uzbekistan, kizi Nazarova Matluba Feruzbek
Published: February 2025

With the development of modern technologies, new methods and tools have also been used in the field of music education. This article examines the effective mechanisms of using modern computer programs in music lessons, their impact on the learning process and their importance in improving musical knowledge. The article examines how various music programs (for example, programs for notation, recording, musical composition and performance analysis) help develop students' musical abilities, as well as create convenience for teachers in organizing lessons. The results of the study emphasize the need for integrating technologies in modern music education and its future prospects.
CLIL technology in multilingual education and training of competitive personnel
Authors:   Nordic International University, Senior Lecturer, Department of “Foreign Languages”, Uzbekistan, Berdiyerovna Rejapova Naima
Published: February 2025

Currently, almost all areas of a person's professional activity require knowledge of a foreign language, and its level of knowledge should be as high as possible. This article discusses Content and Language Integrated Learning (CLIL) educational technologies as the most effective way to improve the level of knowledge of foreign languages in non-linguistic universities. This method is becoming increasingly popular due to the increasing need to improve the quality of language teaching to university students, because The article also studies the features of science and language integrated education in non-linguistic universities, information technologies that serve for the successful implementation of this method.
Impact and effectiveness of the framework approach to solving social-existential problems in new Uzbekistan
Authors:   Associate Professor of Fergana State University, Doctor of Philosophy (PhD), Uzbekistan, ugli Asatulloev Inomjon Abobakir
Published: February 2025

In the existential philosophy of Erich Fromm, the human soul's tendency to creativity and destruction, the desire for domination or submission in people, the content and social significance of love and hatred for life are analyzed.
Distinctive features of plot types in the novel "IMOM MOTURIDIY"
Authors:   Lecturer at Berdakh Karakalpak State University, Uzbekistan, Alisher Bobojanov
Published: February 2025

This article examines the plot and compositional features of Luqmon Borikhan’s novel Imom Moturidiy. The narrative is constructed using chronological, retrospective, and concentric plot types, each distinguished by specific conflicts and dramatic developments. The study explores the novel’s key plotlines, particularly those of Imom Moturidiy and Vosiq La’liy, Idris Shomiy, and Khalid Khalaj. Additionally, it analyzes the role of artistic detail and stylistic elements in shaping the novel’s narrative dynamics and psychological depth. Through its plot construction, the author harmonizes historical reality with artistic truth. From a literary perspective, this article aims to investigate the novel’s poetics by elucidating the unique characteristics of its plot structure.
Representation of the lyrical passage with nature images
Authors:   Nukus branch of Uzbekistan state institute of arts and culture, Uzbekistan, Uzakbaevna Fayzullaeva Sayatkhan
Published: February 2025

This article reveals the methods and peculiarities of conveying experiences about the paysage in the poems of poets M.Jumanazarova and P. Mirzabayeva. The lyrical hero in the poems of the poets demonstrates the artist's skill in a unique style through the descriptions of the paysage. In the works of the poets, experiences are artistically expressed on the basis of various details.
Factors ensuring the development of speech in preschool children
Authors:   Senior Lecturer at FerSU, PhD, Uzbekistan, Makhmudova O.T. , Mamajonova S. ,   Master's student at FerSU, Uzbekistan
Published: February 2025

Raising the level of speech construction skills in the development of speech among older preschool children is one of the main tasks facing methodologists in the preschool education system. Taking this into account, when studying the environment, it is advisable to begin research on the problem of speech development in older preschool children by identifying the factors that ensure speech development. It should not be forgotten that the surrounding world is a rich source of artistic imagery in literature. In the process of speech development, literature and artistic imagery play a significant role.
STRATEGIES D’ACCOMPAGNEMENTS ET REDUCTION DU TAUX D'INSECURITE ALIMENTAIRE CHEZ LES POPULATIONS DEPLACEES VICTIMES DES CONFLITS ARMES DANS L’ARRONDISSEMENT DE MORA, L'EXTREME NORD - CAMEROUN
Authors:   The University of Bamenda, YANA MEVO Pierre Université de Yaoundé I, Cameroon, Yuyun Nsairun Léonard
Published: February 2025

In recent decades, the increase in average or serious food insecurity has been the most marked particularly in sub -Saharan Africa. Food security in tropical Africa is vulnerable and above all threatened by many factors in this case natural disasters linked to the climate, such as floods and droughts, and those humans relating to the predatory activities of non -state armed groups (Game). All these disasters generate hunger, in particular by provoking the movements of populations (including farmers, traders, craftsmen ...) who bring the community into poverty. This prevents agricultural production, the destruction of assets as well as food stocks. This also disrupts markets with prices increase and harm the livelihoods. There are many Africans whose capacity for access to sufficient food, safe and capable of providing for their nutrients in all circumstances happen to be threatened every day. This analysis has been fundamentally focused on the food situation of displaced populations victims of the conflicts of the Far North Cameroon in general and those of the Mora district who have suffered from the impacts of territorial insecurity since 2013. This socio-political context linked to territorial insecurity, thus provoking the displacements of populations in the interior of Cameroon inevitably leading to an increase in the population in certain localities. These movements had a direct consequence on food and nutritional security on them. This quickly led to the exhaustion of food stocks and increased their vulnerabilities. The aim of this reflection is first to describe the local impacts of this territorial crisis on the situation of food security in this vulnerable region; Then analyze the support strategies implemented; and finally determine the role of institutions, organizations and local actors in order to face this delicate situation.
Frailty as a Predictor of Net Clinical Benefit in Atrial Fibrillation Patients Over 60 Receiving Anticoagulants: Insights from the Single-Center Prospective REGATTA-2 Registry
Authors: Kropacheva E. S. , Dashaeva M. I. , Zemlyanskaya O. A. , Krivisheeva E. N. , Panchenko E. P.
Published: February 2025

Studying the frailty in  patients with atrial fibrillation (AF) is  essential given the high prevalence of  AF and the escalating risk of strokes and bleeding as individuals age.

AIM: to evaluate the effect of frailty on the risk of the sum of thromboembolic events and bleedings in patients with AF aged 60 years and older receiving anticoagulants.

MATERIALS AND METHODS. This fragment from the single-center prospective REGATTA-2 register (Register of  long-term Antithrombotic therapy -NCT043447187) included 455 patients with AF  ≥ 60 years for whom it  was possible to assess the signs of frailty on three scales Groningen Frailty Index, FRAIL and «Age is not a hindrance». During the follow-up (median of 6 years), the sum of thromboembolic events and bleedings were taken into.

RESULTS. Frailty according to the Groningen Frailty Index and FRAIL scales were detected in 29.7% and 31.8%, using the «Age is not a hindrance» scale — in 9.5% of patients. The most common syndromes were emotional and cognitive disorders, fatigue and limited mobility. According to  the ROC analysis, all three scales used had predictive value in relation to the risk of the sum of thromboembolic events and bleedings. Independent predictors (Cox proportional risks model) of sum of thromboembolic events and bleedings are Groningen Frailty Index ≥ 4 (HR=1.8) and «Age is not a hindrance» ≥ 3 (HR=1.6).

CONCLUSION. Frail patients with atrial fibrillation have an  increased risk thromboembolic events and bleedings; therefore, they need personalized monitoring and treatment regimen.
Development of Digital-Based Service Marketing Management: A Conceptual Framework
Authors: Octavian Henry Sumurung , Riwoe Febry Lodwyk Rihe , Che-Ni Hageem
Published: February 2025

The rapid advancement of digital technologies has transformed service marketing, requiring businesses to adopt innovative, data-driven strategies to enhance customer engagement and competitive advantage. This study proposes a conceptual framework for digital-based service marketing management, integrating insights from existing literature on customer-centric digital strategies, AI-driven marketing approaches, multi-channel integration, and data-driven decision-making. The research explores key success factors, including digital infrastructure, evolving consumer expectations, and ethical considerations in the implementation of digital marketing strategies. Using a conceptual research design, this study conducts a systematic literature review of scholarly articles, books, and industry reports to synthesize key theories and models, such as SERVQUAL and the Technology Acceptance Model (TAM). A proposed framework is introduced to illustrate the relationships between digital marketing strategies, customer engagement, and business performance. The findings contribute to academic research by expanding service marketing literature and offer practical implications for businesses navigating digital transformation.While this study provides theoretical insights, it is limited by the lack of empirical validation. Future research should focus on testing the proposed framework across different service industries and examining emerging digital trends, such as metaverse marketing, blockchain, and AI-driven hyper-personalization. By addressing these areas, researchers and practitioners can develop more effective, ethical, and customer-centric digital service marketing strategies in an increasingly dynamic business environment.
 
Keywords: Digital Service Marketing, AI, Big Data, Customer Engagement, Digital Transformation, Conceptual Framework
Mecanismos químicos de deterioração das estruturas de concreto armado: -
Authors: Bolina Fabricio Longhi
Published: February 2025

Entre vários elementos que afetam a durabilidade das construções e das estruturas, nota-se que os ataques químicos se destacam pela sua complexidade e importância, pois frequentemente resultam em danos irreparáveis às características intrínsecas do concreto. Este capítulo se baseia na descrição deste processo de deterioração e a sua relação com a durabilidade e vida útil das estruturas de concreto armado. Ele é dividido em três seções: (a) durabilidade e vida útil das estruturas de concreto, (b) ataques químicos ao concreto simples e (c) ataques químicos ao concreto armado. Os ácidos, sulfatos e álcalis foram considerados agentes agressivos para o concreto simples, enquanto para o concreto armado, os cloretos e o gás carbônico foram admitidos.