bluuebunny/crossref_metadata_2025 huggingface dataset:
The correlation of NLR, MLR, and PLR as a prodiagnostic marker in chronic kidney disease
Authors: Khajuria Atul , Singh Gagandeep
Published: December 2024

Background:

Chronic Kidney Disease (CKD) is an increasing global public health concern, with rising numbers of patients requiring renal replacement therapy. Early detection and understanding of risk factors are critical for effective intervention and management.

Aim:

To analyze the demographic characteristics, risk factors, and prognostic indicators in CKD patients across stages 1 to 5.

Methods:

A cross-sectional study was conducted involving 500 CKD patients. The participants were assessed for demographic data, medical history, and hematological markers, including neutrophil–lymphocyte ratio (NLR), monocyte–lymphocyte ratio (MLR), and platelet–lymphocyte Ratio (PLR).

Results:

Demographics: 74.5% of participants were male, and 25.5% were female. The majority were aged 61–70 years (42.6%), followed by 51–60 years (30.8%). Risk Factors: 34.6% had type 2 diabetes mellitus for <5 years. 42% had hypertension for <5 years. Prognostic Indicators: A strong association was observed between NLR, MLR, PLR, and CKD progression, establishing their role as significant prognostic markers.

Conclusion:

The study highlights the importance of hematological markers (NLR, MLR, and PLR) as effective prognostic tools for CKD detection and management. Addressing common risk factors like diabetes and hypertension is essential for reducing CKD burden and progression.
Integrating mental health: Primary care physicians as frontline defenders against depression
Authors: Saran Brijesh
Published: December 2024

Introduction:

Depression is a prevalent mental health disorder that significantly impacts individuals’ quality of life. Primary care physicians (PCPs) are often the first point of contact for patients experiencing depressive symptoms, making their role crucial in early detection and management.

Objectives:

This article aims to explore the multifaceted approach of PCPs in diagnosing and treating depression, emphasizing the integration of mental health care within primary care settings.

Methods:

The article reviews current practices in primary care for managing depression, including use of the standardized screening tools such as the Patient Health Questionnaire-9, comprehensive patient histories, and collaborative care models involving mental health professionals. It also discusses treatment modalities, including medication management and psychotherapy.

Results:

Findings indicate that PCPs play a vital role in recognizing and addressing depression through a combination of pharmacological and psychotherapeutic interventions. Collaborative care models enhance treatment efficacy by fostering teamwork among healthcare providers, ensuring timely and personalized care. Patient education and self-management strategies are also highlighted as essential components for improving treatment outcomes.

Conclusion:

The article concludes that a comprehensive, integrated approach to depression management in primary care can significantly enhance patient outcomes. By addressing the complexities of depression and fostering a supportive environment, PCPs can empower patients to manage their mental health effectively. Overcoming barriers such as stigma and access to care is essential for optimizing treatment and improving the overall quality of life for individuals suffering from depression.
Hal Hal Mengasihi Sesama dan Musuh
Authors: Togatorop Andri , Winanto Oey Natanael
Published: December 2024

This article discusses the concept of love within the context of Christian teachings, specifically in the relationships among people living in pluralistic societies. "Agape," the Greek term for love, represents the unconditional love that God has for humanity. This love is seen as the foundation of Jesus' teachings, emphasizing the importance of loving one’s neighbor, including one’s enemies, as a reflection of God's love. In a diverse society like Indonesia, the principle of love plays a crucial role in addressing potential religious and cultural conflicts, as differences often serve as sources of tension. Christians are called to be agents of love, not only toward fellow believers but toward all of humanity. Loving unconditionally can break down walls of hostility and prevent cycles of revenge. This article also highlights the importance of a proper understanding of love as a selfless act, demonstrated by Jesus, which inspires peace and unity within society. Through love manifested in concrete actions, Christians become reflections of God’s love in a diverse environment. Love practiced without discrimination serves as a unifying force that transcends differences in ethnicity, race, or religion and strengthens social integration to foster peace and harmony. This research contributes by emphasizing the role of unconditional love as a Christian solution for breaking down barriers of difference and conflict in plural societies, thereby promoting social harmony and peace.
 
Artikel ini membahas konsep kasih dalam konteks ajaran Kristen, khususnya dalam relasi antara umat manusia yang hidup dalam masyarakat plural. Kasih, yang berasal dari kata Yunani "Agape," mencerminkan kasih tanpa syarat yang dimiliki Allah bagi manusia. Kasih ini dipandang sebagai dasar ajaran Yesus, yang menekankan pentingnya mengasihi sesama, termasuk musuh, sebagai cerminan kasih Allah. Dalam masyarakat yang beragam seperti Indonesia, prinsip kasih memiliki peran penting dalam mengatasi potensi konflik antaragama dan budaya, karena perbedaan sering kali menjadi pemicu ketegangan. Orang Kristen dipanggil sebagai agen kasih, tidak hanya untuk sesama umat beragama, tetapi juga bagi seluruh umat manusia. Mengasihi tanpa syarat dapat meruntuhkan tembok permusuhan dan menghindarkan balas dendam. Artikel ini juga menyoroti pentingnya pemahaman yang benar akan kasih sebagai suatu tindakan tanpa pamrih yang ditunjukkan Yesus, yang menginspirasi perdamaian dan persatuan dalam masyarakat. Melalui kasih yang diwujudkan dalam tindakan nyata, orang Kristen menjadi cerminan kasih Allah dalam lingkungan masyarakat yang majemuk. Kasih, yang dijalankan tanpa diskriminasi, berfungsi sebagai kekuatan pemersatu yang melampaui perbedaan suku, ras, atau agama, serta memperkokoh integrasi sosial demi mewujudkan kedamaian dan kerukunan hidup. Penelitian ini memberikan kontribusi dengan menekankan peran kasih tanpa syarat sebagai solusi Kristen untuk meruntuhkan sekat-sekat perbedaan dan konflik dalam masyarakat plural, guna mewujudkan perdamaian dan kerukunan sosial.
Hydrocarbon Potential Evaluation of Sandstone Reservoirs in Lower Goru Formation Miano Gas Field in Middle Indus Basin, Sindh, Pakistan
Authors: Naseem Sadaf , Ahmed Saeed
Published: December 2024

The Middle Indus basin (MIB) is a potential hydrocarbon sedimentary basin of Pakistan. This study was carried out to interpret the petrophysical well log data of Minao gas field of three wells (Miano-1, 2 and 3) to characterize the Lower Goru reservoir. Indonesian model was applied to estimate the in - situ water saturation Sw of the Lower Gorureservoir. Contour maps were used to understand the lateral and vertical variation in reservoir characteristics. In addition,M-N lithology cross plots were also used to interpret the lithological heterogeneity and homogeneity within the reservoir.There were four sand units recognized as Sand A, B, C and D within Lower Goru reservoir based on the estimation ofeffective porosity (Фeff), permeability (K), shale volume (Vsh), water saturation (Sw) and hydrocarbon saturation (Shc). The Sand B showed good potential for hydrocarbon as indicated by shale volume Vsh (10 to 14%), effective porosity Фeff (19 to 22%), permeability K (798 to 847 mD), water saturation Sw (19 to 22%) and hydrocarbon saturation Shc (77to 80%). Data revealed that in north and northeast side, there is an increase in reservoir quality and thickness, while it decreased in south to southwest side. Shale volume decreased in north to northeast with low water saturation and highhydrocarbon saturation. Results reveal that north to northeast direction of Miano gas field is ideal for the hydrocarbon recovery. More exploratory wells are recommended to be drilled in this direction to maximize the hydrocarbon productionfrom the Lower Goru reservoir.
Protester-shield model
Authors: Krkač Kristijan
Published: December 2024

European Muslims (some of which may be jihadists or are motivated by jihadists) and misunderstanding (tolerating) this misuse of jihad by European non-Muslims, both participating in pro-Palestinian protests in Europe which creates a paradoxical situation for both. Non-Muslims are against militant jihadism symbolism and are at the same time tolerating such symbolism. In order to analyze this paradox three steps are taken. In the first part, the description and levels of the paradox are supplied. In the second part, three elements are given: the description of the circumstances in Europe after the Palestinian attack on Israel on October 7, 2023, the elements of possible misuse of jihad (by jihadists), and the description of jihad and jihadism in Europe. In the third part, a conclusion is drawn from the previous premises. Since jihadism is a fact in Europe as well as terrorist attacks by jihadists, there is a possibility and even some probability that jihadists, misusing jihad, are related to Muslims among pro-Palestinian protesters in Europe, which creates a paradoxical situation for non-Muslim members of pro-Palestinian protesters in Europe since they are in the same time against jihad, and jihadist terrorism (Hamas) and pro-Palestine (civilians).
Provedba kohezijske politike Europske unije
Authors: Trnski Marko
Published: December 2024

Kohezijska politika Europske unije osmišljena je s ciljem mobilizacije raznolikih institucionalnih aktera i socioekonomskih skupina, no pitanje je kako se to odvija u nacionalnim okvirima. Drugim riječima, jesu li se i u kojoj mjeri nacionalne institucije, naviknute na upravljanje nacionalnim sektorskim politikama (ovdje najvažnije politikom regionalnog razvoja), mogle prilagoditi pravilima provedbe kohezijske politike Europske unije iz 1989. i njihovim kasnijim nadopunama iz 1993. Pri tome ključna su četiri aspekta u strukturiranju institucionalnih odgovora država članica te subnacionalnih tijela na nove odredbe kohezijske politike. To su: stvaranje institucija (engl. institution building) u slučajevima gdje nisu postojale odgovarajuće institucije, zatim jačanje institucionalnih sposobnosti (engl. institutional capacity) kao povećanje sposobnosti postojećih institucija zbog preuzimanja novih funkcija i procesa, upravni kapacitet (engl. administrative capacity) podrazumijeva nužnost povećanja efektivnosti i efikasnosti upravljanja procesom kohezijske politike te višerazinsko upravljanje (engl. multilevel governnace) kao suradnja različitih institucionalnih razina i socioekonomskih skupina u pripremi i provedbi politike.
Euromaidan uprising – causes, implementation and legality
Authors: Rukavina Bruno
Published: December 2024

The scientific paper analyses and explains the events in Ukraine until 2014 or the end of the Euromaidan uprising, after which the civil conflict in Ukraine began. The situation in Ukraine culminated again in February 2022 with the military intervention by the Russian Federation. This paper explains the causal factors of the beginning of the conflict, which has embryo in the Revolution of Dignity or Euromaidan. The focus of the research paper is on Ukraine’s domestic and foreign policy, its relations with Euro-Atlantic institutions and Russia under Viktor Yanukovych, and the outbreak of the Euromaidan uprising. The research aims to better understand the conflicts within Ukraine and the relationship between Ukraine the EU, and Russia before and during the Euromaidan uprising through political-legal analysis.
Critical assessment of the influence of the USSR on the European countries of the “Socialist camp” in modern Russian historiography
Authors: Zhukov Iurii
Published: December 2024

The paper analyses the work of Russian historians of the 1990s, 2000s and 2010s who demonstrated a critical approach to the analysis and assessment of the influence of Soviet institutions on the countries of Eastern, Southeastern and Central Europe. The works of historians of the 1990s, 2000s and 2010s demonstrate a critical approach to the analysis and assessment of the influence of Soviet institutions on the countries of Eastern, Southeastern and Central Europe. These trends in historiography were an integral part of reflections on the shortcomings of the Soviet system as a whole, and were associated with the reflection of their own development. However, there is a diversity of opinions in it regarding seemingly canonical plots for the modern Russian authorities.
Comparison of Various Machine Learning Methods for Heat Load Prediction in District Heating System
Authors:   University of Niš, Faculty of Electronic Engineering, Niš, Serbia, Tasić Milica , Ćirić Ivan ,   University of Niš, Faculty of Electronic Engineering, Niš, Serbia, Ignjatović Marko ,   University of Niš, Faculty of Electronic Engineering, Niš, Serbia, Stojiljković Dušan ,   University of Niš, Faculty of Electronic Engineering, Niš, Serbia
Published: December 2024

This paper explores the potential application of supervised machine learning for predicting the energy performance of the district heating system at the Faculty of Mechanical Engineering in Niš. The operation of this heating system is controlled automatically, while the energy performance is monitored through a SCADA system. Although the SCADA system provides detailed data insights, optimization decisions aimed at saving energy and reducing costs are made by the heating plant operator. The objective of this research is to apply two different machine learning methods, artificial neural networks and random forest analysis, to predict the heating load based on a set of various energy indicators used as input parameters, derived from the SCADA system of the heating plant. The predictions were made for a period spanning 15 days, and the results were obtained using different algorithms of neural networks and random forest analysis in the MATLAB software tool. The primary goal was to present the results of applying these two machine learning methods for heating load prediction, and to compare them by providing a detailed analysis of their performance.
Comparison of YOLOv5 and YOLOv8 Neural Networks for Grape Recognition
Authors: Dimitrijević Jelena , Milovanović Miroslav , Cui Jianxun , Banić Milan
Published: December 2024

This paper presents the results of a comparative analysis of two pre-trained deep learning models, YOLOv5 and YOLOv8, for object detection in images. Considering the current research focus and the development of autonomous agriculture, the models were trained to recognize grape instances using images from the existing WGISD dataset. The final evaluation of the models, following the comparative analysis, is based on performance metrics (precision, recall, F1 score, and AP) and results obtained from testing the models on an unseen dataset. The YOLOv5 model recorded an almost negligible number of false positive predictions (7 instances); however, this came at the cost of failing to detect a significant number of grape instances (97 instances). In contrast, the YOLOv8 model detected more grape instances (170 instances) but with a higher number of false positive predictions (18 instances). In terms of performance evaluation metrics, YOLOv8 demonstrated better overall results.
The Power Supply System for Fluorescent Lamps Using Direct Pulsing Current
Authors:   University of Niš, Faculty of Electronic Engineering, Department of Computer Science, Niš, Serbia, Vučković Vladan
Published: December 2024

This paper presents a modified system for powering low-voltage fluorescent lamps with pulsing direct current based on the author’s approved patent. The system makes it possible to use lamps that have burned out at one end, thus significantly extending their working life. Postponing recycling and destroying burned-out fluorescent lamps saves material resources and eliminates the problem of recycling toxic mercury (Hg), which is an integral part of the gas in this type of lamps.
Perbuatan Melawan Hukum dalam Kasus Pertanahan Studi Perbandingan antara Indonesia dan Prancis
Authors: Justin Thenata Putu Davis , Susanto Ryan Jovan , Kurniawati Jeanette Olivia , Lee Jessica Carol
Published: December 2024

Unlawful Actions (PMH) in land cases is an important issue in the legal system in various countries, including Indonesia and France. Although both countries have similar basic principles regarding PMH, there are fundamental differences in the way they are regulated and implemented, especially in the land context. This research aims to analyze the comparison between the PMH concept in Indonesia and France, with a focus on resolving land disputes. The method used is a comparative approach, comparing the legal provisions applicable in both countries, as well as the dispute resolution mechanisms applied in practice. The research results show that although there are similarities in the aim of protecting land rights and providing compensation to injured parties, each country has different legal characteristics in dealing with unlawful acts in the land context. In Indonesia, dispute resolution is more formal and bureaucratic, while in France it prioritizes mediation and a social approach. Apart from that, the difference in the application of subjective and objective responsibility is also an important differentiating factor in law enforcement related to PMH.
Current Review: Hyperbaric Oxygen Analysis with Appropriate Cognitive Assessment
Authors: GL Slater
Published: December 2024

Hyperbaric Oxygen Therapy (HBOT) is a medical treatment that involves placing a patient in a pressurised chamber and administering 100% oxygen. Recently, there has been growing interest in the cognitive benefits of HBOT, with research showing improvements in cognitive functioning, especially in domains such as memory. HBOT has been proposed as an adjunctive therapy for Traumatic Brain Injury (TBI) since the 1960’s and a growing body of work demonstrates consistent cognitive benefits for those suffering from TBI [1]. The use of HBOT in the treatment of TBI is based on the theory that injured neurons would benefit from increased oxygen delivery from HBOT, which may electrically or metabolically reactivate the cells. This may help to improve any cognitive impairments resulting from the TBI [2]. These benefits may be partially due to HBOT leading to an increased level of oxygen in the blood, which is believed to promote neurogenesis, neuronal integrity and synaptogenesis, factors that may influence cognitive functioning. This review examines research on the cognitive benefits of HBOT and provides an overview of the methods by which cognitive performance can be measured. While the optimal treatment protocol for HBOT needs further clarity, existing research highlights its potential for enhancing cognitive performance.
KOVİD-19 GEÇİREN GEBELERİN ANNELİK VE BEDEN ALGISININ BELİRLENMESİ
Authors: Koç Emine , Baltacı Nazlı , Odabaşoğlu Emel
Published: December 2024

Amaç: Bu çalışma Kovid-19 geçiren gebelerin annelik ve beden algısının belirlenmesi amacıyla gerçekleştirilmiştir.
Yöntem: Araştırma tanımlayıcı ve kesitsel tipte olup 01 Temmuz -31 Aralık 2021 tarihleri arasında Türkiye’nin Karadeniz Bölgesi’nde yer alan bir hastanenin Doğum ve Kadın Hastalıkları Polikliniği’ne başvuran kovid-19 geçirmiş 153 gebe ile yürütülmüştür. Veri toplama aracı olarak “Gebe Tanıtım Formu” ve “Gebelerin Kendilerini Algılama Ölçeği kullanılmıştır. Veriler SPSS 22.0 programında değerlendirilmiştir. Verilen analizinde; Mann Whitney U testi; Kruskal Wallis testi kullanılmıştır. Sürekli değişkenler ortalama, standart sapma, ortanca, minimum ve maksimum değerler; kategorik değişkenler frekans ve yüzde ile belirtilmiştir.
Bulgular: Araştırmada annelik algısı alt boyutundan alınan puan ortalaması 21.25±3.13 olup, annelik algılarının ‘orta düzeyde’ olduğu; beden algısı alt boyutundan alınan puan ortalaması ise 11.16±3.45 olup, beden algılarının ‘iyi düzeyde’ olduğu saptandı. İstatistiksel olarak annelik algısı gelir durumu yüksek olan, çalışan, uyku sorunu olmayan gebelerin(p
Impact Load Resistance of Steel after Heat Treatment and Quenching with Distilled Water
Authors:   Northern Technical University - Technical Institute Mosul, Alshih Yahya Iman Zaidan
Published: December 2024

Given that low carbon steels have favourable mechanical properties, they are widely used in power plant components, oil and gas pipelines, and armor structures. However, the relationship between a steel's structure and mechanical properties can occasionally be negatively impacted by the existence of ferrite and pearlite phases in its microstructure. One of the most crucial aspects of engineering metallurgy is the heat treatment of steels, which improves a variety of mechanical and physical characteristics that are useful in many structural applications. The heating and cooling of an alloy or metal while it is solid in order to refine its grain size and other properties and create the necessary microstructures is known as heat treatment.

This paper will use distilled water as a cooling medium at various temperatures to perform repeated heat treatments. Comparing the impact load resistance of the original and treated specimens is the goal, as is the impact of multiple heat treatments and the use of distilled water as a medium for cooling at different temperatures. The findings of an Excel program study show that the heat-treated samples had a greater impact resistance value than the untreated ones. The strong martensitic network alloys created by heat treatment procedures are the main factor contributing to the increase in impact load resistance. The average pendulum angle values of the six heat-treated compounds were found to have a higher elevation angle than the average values of the original group. There was the least amount of decrease from the average value of the second group, which was 0.93 %. The average toughness values of the six heat-treated groups increased in comparison to the original group's average values, with the second group experiencing the largest percentage increase (11.96%). Based on the difference in coolant temperatures, the group that was cooled in distilled water at zero temperature had the best toughness value.
The Impact of Contract Changes on Construction Project Implementation Based On Contractor Perceptions in Indonesia
Authors:   Civil Engineering Department, Faculty of Engineering, UMJ, Jl. Cempaka Putih Tengah XXVII, Jakarta 10510, Nurlaelah Nurlaelah , Trijeti Trijeti ,   Civil Engineering Department, Faculty of Engineering, UMJ, Jl. Cempaka Putih Tengah XXVII, Jakarta 10510, Gumelar Putra Pandu ,   Civil Engineering Department, Faculty of Engineering, UMJ, Jl. Cempaka Putih Tengah XXVII, Jakarta 10510
Published: December 2024

A construction contract is an agreement between service providers and service consumers for the execution of construction work, and those who violate it face penalties. Based on the opinions of contractors, this study attempts to ascertain how contract differences affect the execution of building projects. Both qualitative (field data gathering) and quantitative (basic linear regression analysis) methods are employed. The findings demonstrated that the significant value is 0.008 <0.05, which is based on the regression test results derived from the questionnaire data. Therefore, this suggests a positive relationship between variables X (factors influencing changes in construction contracts) and Y (impacts on construction projects).
Analysis Automobile Insurance Fraud Claim Using Decision Tree and Random Forest Method
Authors: Wicaksono Ridwan Lazuardy Bimo , Rohman Aletta Divna Valensia
Published: December 2024

Insurance fraud, particularly in the automobile sector, poses significant financial risks to insurance companies. This study aims to analyze fraudulent claims in automobile insurance using Decision Tree and Random Forest methods. A dataset consisting of 10,000 entries was utilized, containing variables such as vehicle type, claim amount, and claim status. The Decision Tree method was employed for its interpretability, while Random Forest was used for its superior accuracy. Results indicated that the Random Forest model outperformed the Decision Tree model, achieving an accuracy of 51.37% compared to 50.47%. This research highlights the effectiveness of machine learning techniques in detecting insurance fraud and provides insights for insurers to enhance their fraud detection systems.
Technology in English vocabulary instruction for K-12: A systematic literature review
Authors: Yavaş Oğuzcan , Başal Ahmet
Published: December 2024

Recognizing the crucial role of vocabulary knowledge in foreign language learning, this study conducts a systematic literature review, analyzing 21 theses from the Turkish Council of Higher Education’s (YÖK) National Thesis Center from 1990 to 2020, following PRISMA guidelines and What Works Clearinghouse standards, on the integration of technology in English vocabulary instruction across the K-12 education. The study examines the levels, types, benefits, and limitations of technologies used in vocabulary instruction in the determined theses. The findings indicate that theses have explored the use of technological tools such as software applications, mobile apps, and Web 2.0 tools in K-12 English education in Türkiye. These studies primarily concentrate on enhancing receptive vocabulary skills while neglecting productive skills, and are predominantly employed in high schools. Given the significant gaps in primary and middle schools, further research is recommended to explore and expand the use of these technologies to enhance both receptive and productive foundational skills in these educational stages.
Simulasi dan Analisis Perubahan Sudut Dan Kecepatan Sudut Rotor Terhadap Perubahan Konstanta Koefisien Redaman Torsi Pada Model Single Machine Infinite Bus
Authors: Dibyo Laksono Heru , Putra Ravi Shidqi
Published: December 2024

Kestabilan merupakan salah satu aspek penting dalam operasi sistem tenaga listrik. Gangguan pada operasi sistem tenaga listrik sering terjadi, yang dimana gangguan tersebut mengakibatkan sistem tenaga listrik menjadi tidak stabil, sehingga berdampak pada sistem yang bekerja secara tidak normal setelah mengalami gangguan. Gangguan  disebabkan karena terjadinya perubahan beban secara berkelanjutan, yang mengakibatkan terjadinya perubahan parameter - parameter penting seperti tegangan dan frekuensi. Untuk memahami dan meningkatkan stabilitas sistem tenaga listrik, diperlukan model matematika yang akurat dan sesuai dengan perilaku sistem sebenarnya. Salah satu model yang digunakan dalam penelitian ini adalah model Single Machine Infinite Bus (SMIB). Penelitian ini difokuskan pada analisis sistem kendali pada model SMIB terhadap perubahan parameter redaman torsi. Metode analisis melibatkan penggunaan simulasi komputer menggunakan program MATLAB untuk memodelkan respons dinamis sistem SMIB terhadap domain waktu dan frekuensi dengan menggunakan analisa peralihan dan kestabilan dengan variasi parameter yang diujikan. Hasil simulasi menunjukkan dampak perubahan parameter redaman torsi terhadap respons sistem kendali. Perubahan parameter redaman torsi sejajar dengan perubahan sudut rotor yang memengaruhi kemampuan sistem dalam meredam osilasi dan mempertahankan stabilitas rotasi.
Pengukuran Kinerja Supply Chain Produk Pelumas dengan Pendekatan Supply Chain Operation Reference (SCOR) di Sebuah Perusahaan Multinasional
Authors: Vikaliana Resista , Shafira Asyifa Hana
Published: December 2024

PT XYZ is a multinational company from France that focuses on lubricant products. Problems at PT XYZ include overstocked items and damaged or defective product packaging during production, storage, and distribution. To compete in the Indonesian lubricant business market, it is necessary to analyze the supply chain performance using the SCOR model approach. The goal is to design supply chain performance indicators and propose improvements for low-performing areas. There are 12 existing KPIs and 8 additional KPIs from literature studies that have been adapted to the company's needs. KPI properties are compiled, and data is processed to determine the weights for each performance level with the help of Expert Choice. Data processing is carried out by calculating secondary data obtained for each KPI, except for KPI-8, KPI-13, KPI-14, and KPI-19, which do not have data requirements. Normalization is carried out for each KPI, and the total supply chain performance measurement for PT XYZ is 56.78, with an additional contribution value of 13.3. It can be concluded that around 70% of the maximum performance has been achieved, which falls into the "Good" category.
Dinâmica espacial da olimpíada brasileira de matemática (OBMEP) na região norte
Authors:   , Ferreira Mirian Kelly Pinheiro dos Santos
Published: December 2024

Como uma alternativa para melhorar e incentivar o aprendizado da matemática, no Brasil, houve a criação da OBMEP. Esta Olimpíada é uma iniciativa científica de caráter multidimensional que busca contribuir para a qualidade da educação básica, a identificação de jovens talentos, o aperfeiçoamento dos professores, alunos e das escolas, e a promoção da inclusão social. Na literatura está em avanço o interesse sobre esse assunto, com demonstrações de que a OBMEP, apesar de sua intenção de melhorias na educação, ainda apresentou resultados divergentes e restritos no território nacional. A OBMEP é desigual quanto a sua abrangência e atingimento de resultados. Nesta pesquisa a preocupação esteve em analisar esta desigualdade, sobretudo sob a ótica da dinâmica espacial do desempenho na OBMEP. A indagação está se os territórios vizinhos podem (ou não) ter algum tipo de influência para um dado local. Com isso, objetivou-se analisar a dinâmica espacial das premiações entre os municípios da região Norte. A região Norte é o território mais desigual quanto a OBMEP, e é ainda carente de estruturas educacionais suficientes para políticas públicas. Para o alcance do objetivo, houve a utilização de dados secundários e complementares para as operacionalizações, com dados coletados no Portal da OBMEP, num recorte temporal que foi de 2005 a 2022, IBGE, FIRJAN, FINBRA e IDEB. Para o método da análise espacial foi utilizada a Análise Exploratória de Dados Espaciais (AEDE), para a identificação do alastramento ou heterogeneidade espacial. Os resultados elucidaram o caráter da necessidade da existência de condições prévias educacionais nos locais para que a OBMEP atinja seus objetivos. Não houve a identificação de alastramento espacial em aspectos globais, mas, somente, em efeitos “ilha” – em pequenos aglomerados municipais ou em um município. A estrutura física, os docentes, os discentes, dentre outros aspectos, parecem importantes para a evidenciação de que a dinâmica espacial do desempenho na OBMEP é heterogênea. Palavras-chave: dinâmica espacial; obmep; região norte
Bronchopulmonary pathology among egg poultry workers
Authors: Mazilov Svyatoslav I. , Raikova Svetlana V. , Komleva Nataliia E. , Skvortsova Nadezhda V.
Published: December 2024

Introduction. Poultry farming is one of the leading branches of agriculture, whose workers work under the influence of various factors that have a sensitizing, fibrogenic and toxic effect on the respiratory system.
Materials and methods. As part of a cross-sectional study, the incidence of diseases of the respiratory system, medical and social factors of life, and the state of the respiratory system in one hundred thirty five egg poultry workers were studied. A hygienic assessment of the factors of the working environment and the labour process was carried out. The results of the study were statistically processed using the Statistica 10 software.
Results. The air condition of the working area at the enterprise under study was established to meet sanitary and hygienic requirements. A high incidence of chronic bronchitis and a significant prevalence of respiratory dysfunction in egg poultry workers have been detected. With an increase in work experience, there is a decrease in the indices of external respiratory function and an increase in the level of allergic mood of the body of employees of the main occupationso. The use of smoking tobacco products is not a priority risk factor in the formation of diseases in workers of the main poultry farming occupations. Taking into account the results obtained it is planned to continue research on the study of working conditions that are risk factors for violations of the state of the respiratory system in egg poultry workers and the mechanism of their formation.
Limitations. The study has regional (Saratov region) and occupational (poultry farm workers) limitations.
Conclusion. The concentration of the dust in the air of the working area in workers in the main occupations of egg poultry does not exceed acceptable values. At the same time, a high incidence of chronic bronchitis was revealed, as well as a significant prevalence of respiratory dysfunction in workers, which is associated with an increase in occupational experience. The results of the assessment of the state of the respiratory system determine the expediency of studying modern working conditions in egg poultry workers and their influence on the formtation of bronchopulmonary pathology.
Complex treatment of the vibration disease by reflexotherapy and pulsed magnetic stimulation
Authors: Slivnitsyna Natalya V. , Rusanova Dina V. , Katamanova Elena V. , Lakhman Oleg L. , Kuleshova Marina V. , Kuptsova Natalya G.
Published: December 2024

Introduction. In the basic treatment of a number of diseases, including neuropathies, which are one of the main manifestations of vibration disease (VD), preference is given to the complex use of several physical methods, which allows obtainingt an effect that is not achievable if only one of the influencing factors is used.
The aim of the study. Improving the effectiveness of drug-free treatment of the vibration disease associated with exposure to local vibration.
Materials and methods. Using the combined effects of acupuncture (IRT) and pulsed magnetic stimulation (MS), there were treated thirty eight male patients (average age 47.6±4.3 years, average work experience in contact with local vibration – 20.8±3.4 years). All cases had a diagnosis of VD associated with exposure to local vibration. The effectiveness of treatment was assessed by the results of EEG, electroneuromyography (ENMG), and registration of somatosensory evoked potentials (SSVP), algesimetry, and determination of vibration sensitivity. A psychological examination was conducted.
Results. After treatment, an improvement in indices of visual and somatosensory evoked potentials, vibration sensitivity and algesimetry data was found. There was an increase in the time of propagation of arousal along afferent and efferent axons, and the mnestic-attentional and psychoemotional spheres of activity were normalized. The use of therapy methods weakened the chronization of the pathological process, prevented patients from becoming ill.
Limitations. The limitation of the study may be that the testing of non-drug treatments was not compared with the results obtained with drug therapy.
Conclusion. The proposed therapy has expanded the possibilities of rehabilitation in VD patients. The use of IRT in combination with MS increased the level of compensatory and restorative processes in the central and peripheral nervous systems. The proposed treatment method does not require patients to stay in a hospital, which will reduce treatment costs.
On development of risk-based monitoring over ready-to-cook products
Authors: Nikiforova Nadezhda V. , May Irina V. , Popova Ekaterina V. , Kravchenko Aleksei V.
Published: December 2024

Introduction. Ready-to-cook food products are becoming more and more popular among consumers. They have certain consumer benefits making cooking more comfortable; still, such products pose serious threats for consumer health. The basic reasons for that include the following: ready-to-cook products are made of many various components; manufacture of such products involves multiple manual operations; it is hard to observe safety requirements at production facilities; etc. Optimization of monitoring over such products seems relevant and significant since it can provide more targeted control and surveillance.
The aim of this study was to suggest possible ways to optimize monitoring over safety of ready-to-cook products based on analyzing long-term results of laboratory tests performed on such products all over the country.
Materials and methods. There was used data from the annual federal statistical observation form No. 18 “Information on the sanitary condition of a constituent entity of the Russian Federation” and data from Laboratory Support section of the Unified Information-Analytical System (UIAS) presented by the Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing (Rospotrebnadzor). Risk profiles were created for specific ready-to-cook products considering the likelihood of violations of mandatory safety requirements and severity of potential adverse health outcomes caused by these violations.
Results. We established that in general the proportion of samples that violated mandatory safety requirements equaled approximately 3.5%. Ready-to-cook food products not conforming to safety standards were detected 2.2–3.8 times more frequently at retail outlets and food providers than in educational establishments or healthcare institutions. Total bacterial contamination (TBC), coliform bacteria (CB), S. Aureus, and certain non-conforming sanitary-chemical indicators are priority health risk factors of ready-to-cook products. These are subject to mandatory laboratory control when each product sample is tested. It seems advisable to change the structure of samples taken within monitoring activities increasing proportions of analyzed samples of salads, drinks (juices), and mixed dishes (meat / fish with trimmings).
Limitations. The limitations of the study include the analyzed data set (an in-depth analysis of the results of monitoring culinary products was performed on only one region).
Conclusion. Optimization of monitoring over safety of ready-to-cook products that involves using risk profile makes control (surveillance) activities more targeted, ensures a growth in a number of detected violations and withdrawal of low-quality unsafe ready-to-good products from the market.
Polymorphism of candidate genes MTNR1B C/G (rs10830963) and TCF7L2 C/T (rs7903146) in children as a risk factor for the development of hepatobiliary system pathology in conditions of contamination of biological media with heavy metals (using lead as an example)
Authors: Dolgikh Oleg V. , Kazakova Olga A. , Luchikova Viktoria A.
Published: December 2024

Introduction. Lead impact on health considering likely pathways of its molecular interactions in the body have not been given sufficient attention by researchers.
The aim of this study was to assess polymorphism of the MTNR1B C/G (rs10830963) and TCF7L2 C/T (rs7903146) genes in children as a risk factor of hepatobiliary pathology in case of heavy metal contamination in biological media (exemplified by lead).
Materials and methods. We examined ninety three 3–6 years children (39 children had hepatobiliary pathology and 54 children were considered healthy) who were exposed to low-dose airborne lead (0.1MPLa.d.), the average daily dose being 0.4 ∙ 10–3 µg/kg ∙ day. We estimated frequency of alleles and genotypes of the candidate genes MTNR1B C/G (rs10830963) and TCF7L2-1 C/T (rs7903146) associated with levels of lead contamination in biological media and hepatobiliary pathology.
Results. The children from the observation group were established to have authentically high frequency of the G allele (OR=1.92, CI: 1.04–3.54) and GG genotype (OR=7.80, CI: 1.58–38.51; p<0.05) of the MTNR1B gene, as well as C wild type allele (OR=2.07, CI: 1.02–4.20; p<0.05) and CC genotype (OR=2.42, CI: 1.02–5.70; p<0.05) of the TCF7L2-1 gene, which were risk factors (RR=1.20–1.43) of developing hepatobiliary pathology aggravated by lead contamination in blood.
Limitations. Limited sampling, the need to verify the results in further observations.
Conclusion. The study established children with hepatobiliary pathology who lived under long-term low-dose exposure to airborne lead at the dose of
0.4 ∙ 10–3 µg/kg ∙ day (0.1MPLa.d.) to have elevated lead levels in blood and impaired biorhythms of smooth muscles in the bile duct combined with the risk (RR=1.20–1.43) of developing hepatobiliary pathology in carriers of G allele (OR=1.92, CI: 1.04–3.54; p<0.05) of the MTNR1B gene as well as C wild type allele (OR=2.07, CI: 1.02–4.20; p<0.05) of the TCF7L2-1 gene.
Программа развития инфраструктуры венчурного рынка в условиях развития IT-сектора экономики России
Authors: Воронов Г.Г.
Published: December 2024

В статье представлена программа развития инфраструктуры венчурного рынка России в условиях роста IT-сектора. Программа основывается на региональной и отраслевой концепции, интегрирует инновационные подходы, такие как использование технологий больших данных, блокчейна и адаптивных финансовых моделей. Особое внимание уделено созданию региональных кластеров, поддержке экспорта технологических решений и укреплению законодательства в области интеллектуальной собственности. Рассмотрены основные проблемы внедрения программы, а также приведены рекомендации, направленные на преодоление барьеров и повышение эффективности венчурного рынка. Предложенная программа направлена на обеспечение устойчивого развития IT-сектора, повышение его конкурентоспособности и интеграцию в мировую технологическую экосистему.

The article presents a development program for Russia’s venture market infrastructure in the context of IT sector growth. The program is based on a regional and sectoral concept, integrating innovative approaches such as big data technologies, blockchain, and adaptive financial models. Particular attention is given to the creation of regional clusters, support for technology export, and strengthening intellectual property legislation. Key challenges in implementing the program are examined, alongside recommendations to overcome barriers and enhance the efficiency of the venture market. The proposed program aims to ensure the sustainable development of the IT sector, improve its competitiveness, and facilitate integration into the global technological ecosystem.
Технологические тренды цифровизации сельского хозяйства и успешные примеры их реализации
Authors: Колодина К.А. , Адамов И.М. , Драгуленко В.В.
Published: December 2024

Статья посвящена исследованию технологических трендов цифровизации в сельском хозяйстве России с акцентом на успешные примеры их реализации. Основная цель работы заключается в анализе и оценке перспектив цифровой трансформации агропромышленного комплекса на фоне глобальной конкуренции и внутреннего спроса на инновации. Авторы изучают такие технологии, как Интернет вещей (IoT), искусственный интеллект, дроны, блокчейн и точное земледелие, которые способствуют оптимизации аграрного производства и повышению его эффективности. Методологически исследование основано на анализе текущего состояния цифровизации в регионах России и оценке применимости технологий на практике. Приведены примеры использования таких умных систем, как «умное поле», «умная теплица» и «умная ферма», которые демонстрируют потенциал цифровых инноваций в управлении сельскохозяйственными процессами.

The article is devoted to the study of technological trends of digitalization in agriculture in Russia with an emphasis on successful examples of their implementation. The main purpose of the work is to analyze and assess the prospects for the digital transformation of the agro-industrial complex against the background of global competition and domestic demand for innovation. The authors study technologies such as the Internet of Things (IoT), artificial intelligence, drones, blockchain and precision agriculture, which contribute to optimizing agricultural production and increasing its efficiency. Methodologically, the study is based on an analysis of the current state of digitalization in the regions of Russia and an assessment of the applicability of technologies in practice. Examples of the use of such smart systems as "smart field", "smart greenhouse" and "smart farm" are given, which demonstrate the potential of digital innovations in agricultural process management.
Доходы и расходы организации: состав и отражение в отчетности
Authors: Лайпанова З.М. , Айдынов М.Р.
Published: December 2024

В статье рассматриваются основные аспекты учета доходов и расходов организации и их отражение в финансовой отчетности. Проанализированы составляющие доходов и расходов, их классификация и влияние на финансовые показатели предприятия. Определены ключевые моменты, на которые следует обратить внимание при формировании отчетов, а также даны рекомендации по оптимизации бухгалтерского учета для повышения надежности и прозрачности финансовых данных.

This paper discusses the main aspects of accounting for income and expenses of organizations, as well as their reflection in financial statements. The components of income and expenses, their classification and impact on the financial performance of the enterprise are analyzed. Special attention is paid to international financial reporting standards and the requirements of national legislation. The key points that should be paid attention to when forming reports are identified, as well as recommendations for optimizing accounting to increase the reliability and transparency of financial data.
Развитие инвестиционной деятельности в розничном сегменте финансового рынка России
Authors: Арсенян А.А.
Published: December 2024

В исследовании проведен анализ текущего состояния фондового рынка и возможностей для развития частного инвестирования в розничном сегменте фондового рынка. Проведен анализ прошлых исследований по теме развития инструментов и создания возможностей инвестирования на фондовом рынке с выделением ключевых проблем и возможностей их решения в современных условиях. Основными результатами исследования послужили: разработка нового механизма частного инвестирования для физических лиц при государственной поддержке, который основан на компенсации убытков инвестора за счет возмещения НДФЛ.

The study analyzes the current state of the stock market and opportunities for the development of private investment in the retail segment of the stock market. The article analyzes past research on the topic of developing tools and creating investment opportunities in the stock market, highlighting key problems and opportunities to solve them in modern conditions. The main results of the study were: the development of a new mechanism for private investment for individuals with government support. The proposed mechanism is based on compensation for the investor’s losses by reimbursing personal income tax.