bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic characteristics of Russian patients with non-small cell lung cancer: Results of next-generation sequencing testing
Authors: Laktionov K. K. , Gordiev M. G. , Sarantseva K. A. , Demidova I. A. , Stroganova A. M. , Filipenko M. L. , Zhusina Yu. G. , Karaseva V. V. , Kutirina E. B. , Kazakov A. M. , Soloveva M. V. 
Published: December 2024

Introduction. Next-generation sequencing (NGS) is a molecular approach that can provide clinicians with comprehensive information about a patient’s molecular profile, which is an important aspect of the effective application of targeted therapy.Aim. To assess the frequency of tumor somatic mutations in non-small cell lung cancer (NSCLC) in a cohort of Russian patients to subsequently optimize diagnostics and personalize treatment strategies.Materials and methods. The study included the results of NGS testing from a cohort of 1.400 NSCLC patients between March 17, 2023, and July 22, 2024. Several other clinics across the country participated in this multicenter study. Panels with various options for identifying potential genetic alterations were used. An analysis of the frequency of various alterations was conducted based on the panel used, clinical characteristics of the patients, considering the geographical and ethnographic diversity of the regions in the country.Results. Mutations were most frequently found in the KRAS (17.9%) and EGFR (15.8%) genes, particularly among never-smoker women. The frequency of rare mutations such as RET, MET, and NTRK corresponds to literature data and underscores the need to expand the group of patients being tested for these alterations. However, deletions in exon 19 of EGFR (12.7%) and KRAS G12C (16.4%) were also found among smokers. The results highlight the inadequate scope of existing testing, partly due to the lack of co-mutation assessment and primary resistance mutations, while also demonstrating possible differences when using various diagnostic panels.Conclusion. The implementation of NGS in public health systems allows for a more personalized approach to selecting treatment strategies for patients. The data obtained can be used in predictive models to optimize drug distribution.
Tilt Building (TB) Gun-an Arduino Nano Based Device for Detecting Building Inclination
Authors: Sudarmanto Agus 
Published: December 2024

The inclination of a building can be a serious issue that has the potential to be fatal if not addressed correctly from the beginning. The purpose of this research is to design and build the Tilt Building Gun (TB Gun) as a portable device for detecting building inclination that can be easily used anywhere. The research methodology includes literature review, hardware design, software design, testing and data collection, data analysis, and report creation. The test results of ultrasonic sensor 1 for horizontal direction yielded an accuracy value of 99.06% and a relative error of 0.94%. Meanwhile, the testing results of ultrasonic sensor 2, with an additional distance of 13.1 cm (distance between ultrasonic sensor 1 and ultrasonic sensor 2 to the ground surface) for vertical direction, resulted in an accuracy of 96.29% and a relative error of 3.71%. Subsequently, testing the building inclination angle with a horizontal distance of 25 cm for ultrasonic sensor 1 and a vertical distance of 20 cm for ultrasonic sensor 2 yielded an accuracy of 98.86% and a relative error of 1.14%. The building inclination angle data is then displayed on the OLED.
Performance of a Digital Cognitive Assessment in Predicting Dementia Stages Delineated by the Dementia Severity Rating Scale: Retrospective Study
Authors: Huynh Duong , Sun Kevin , Patterson Mary , Hosseini Ghomi Reza , Huang Bin 
Published: December 2024

Abstract

Background
Dementia is characterized by impairments in an individual’s cognitive and functional abilities. Digital cognitive assessments have been shown to be effective in detecting mild cognitive impairment and dementia, but whether they can stage the disease remains to be studied.

Objective
In this study, we examined (1) the correlation between scores obtained from BrainCheck standard battery of cognitive assessments (BC-Assess), a digital cognitive assessment, and scores obtained from the Dementia Severity Rating Scale (DSRS), and (2) the accuracy of using the BC-Assess score to predict dementia stage delineated by the DSRS score. We also explored whether BC-Assess can be combined with information from the Katz Index of Independence in activities of daily living (ADL) to obtain enhanced accuracy.

Methods
Retrospective analysis was performed on a BrainCheck dataset containing 1751 patients with dementia with different cognitive and functional assessments completed for cognitive care planning, including the DSRS, the ADL, and the BC-Assess. The patients were staged according to their DSRS total score (DSRS-TS): 982 mild (DSRS-TS 10‐18), 656 moderate (DSRS-TS 19-26), and 113 severe (DSRS-TS 37-54) patients. Pearson correlation was used to assess the associations between BC-Assess overall score (BC-OS), ADL total score (ADL-TS), and DSRS-TS. Logistic regression was used to evaluate the possibility of using patients’ BC-OS and ADL-TS to predict their stage.

Results
We found moderate Pearson correlations between DSRS-TS and BC-OS (r=−0.53), between DSRS-TS and ADL-TS (r=−0.55), and a weak correlation between BC-OS and ADL-TS (r=0.37). Both BC-OS and ADL-TS significantly decreased with increasing severity. BC-OS demonstrated to be a good predictor of dementia stages, with an area under the receiver operating characteristic curve (ROC-AUC) of classification using logistic regression ranging from .733 to .917. When BC-Assess was combined with ADL, higher prediction accuracies were achieved, with an ROC-AUC ranging from 0.786 to 0.961.

Conclusions
Our results suggest that BC-Assess could serve as an effective alternative tool to DSRS for grading dementia severity, particularly in cases where DSRS, or other global assessments, may be challenging to obtain due to logistical and time constraints.
Theatre-based social-emotional learning program to foster friendship quality in elementary school students
Authors: Zakaria Fahmi , Setyowati Ninik , Chusniyah Tutut 
Published: December 2024

This research focuses on the importance of friendship quality in children's social and emotional development, with a particular focus on primary school-aged children. The purpose of this study is to address the problem by developing a theatre-based learning module with the aim to improve friendship quality among primary school students as well as to determine the effectiveness of the module in improving friendship quality. This research methodology uses a research and development approach using the ADDIE model design. The results showed the study validated the module, achieving a high validity score of 89.94%. The Paired Samples Test revealed a significant improvement in friendship quality, with a mean score increase of -7.815 and a t-value of -3.036 (df = 26, p < 0.05). then it can be stated if the theatre-based SEL based theater programme had a significant impact on students' friendship quality. Theatre-based SEL programmes can facilitate students' understanding of emotions, enhance their ability to empathise, and encourage the development of stronger relationships. Therefore, the theatre-based module proved to be an effective approach in improving students' friendship quality.
НЕОБХОДИМОСТЬ СТРАТЕГИЧЕСКОГО МЕНЕДЖМЕНТА ДЛЯ УСТОЙЧИВОГО РАЗВИТИЯ ОРГАНИЗАЦИИ
Authors: Черских А.А. 
Published: December 2024

В статье обоснована необходимость стратегического менеджмента как новой концепции управления в условиях нестабильной и динамической среды, рассмотрены теоретические и методологические аспекты стратегического менеджмента как перспективного направления устойчивого развития организации. Показано устойчивое развитие организации как совокупности взаимосвязанных между собой элементов при помощи системного, процессного и ситуационного подхода. Современные исследования общественных отношений доказывают, что проблема стратегии приобретает все большее общеэкономическое значение, поскольку стратегия воспринимается одним из изобразительных факторов современного и особенно будущего общества.
Современные методы оценки инвестиционной привлекательности промышленных предприятийоборонно-промышленного комплекса
Authors: Изгалиева К.С. 
Published: December 2024

Данная статья посвящена обзору современных способов оценки инвестиционной привлекательности предприятий оборонно-промышленного комплекса, а также используемых показателей при ее исчислении. Выделены три условные группы способов оценки инвестиционной привлекательности предприятий и представлена их характеристика.
СОЦИАЛЬНО-ЭКОНОМИЧЕСКИЕ ПРОБЛЕМЫ СЕЛЬСКИХ ТЕРРИТОРИЙ В АСПЕКТЕ ДЕМОГРАФИЧЕСКОЙ СИТУАЦИИ ПСКОВСКОЙ ОБЛАСТИ
Authors: Гарская Е.С. 
Published: December 2024

Статья посвящена комплексному исследованию проблемы социально-экономического положения сельского населения Псковской области. В ходе исследования выявлены низкие показатели уровня жизни населения, а также неблагоприятная демографическая ситуация. Проблемы сельских территорий очевидны. Возникает опасность сохранения территориальной целостности России, по причине постоянного уменьшения числа жителей села. Одной из основных причин создавшегося положения является кризис базовой отрасли сельской экономики – сельского хозяйства. Путем рассуждений и результатов исследований определен комплекс действий и мер, направленных на повышение уровня жизни сельского населения Псковской области.
К вопросу одинамике расселения ироста численности туркменСтаВропольского края
Authors: Сыздыкова Ж.С. 
Published: December 2024

В данной статье рассматривается динамика расселения и изменения численных показателей туркмен Ставропольского края России. Автор отмечает, что к настоящему времени отсутствуют комплексные исследования по истории формирования и дальнейшего развития туркменской диаспоры на юге России, что актуализирует исследование истории туркмен и создание целостной модели их истории в контексте истории других народов России, тем более, что советский период не придавалось достаточного внимания представителям союзных республик в Российской Федерации, так как работала концепция единой общности – советского народа. Отмечается, что первые туркмены покинули свою историческую родину, под воздействием внешних сил и появились на территорий Ставропольского края в ХУII в. Подчеркивается, что туркмены пережили трудный переход от кочевого образа жизни к оседлому. Обращается внимание на то, что туркмены Ставрополья все же сохранили основные ареалы своего проживания. Делается вывод, что не намного, но, все же произошел рост туркменского населения в Ставропольском крае России.
ИННОВАЦИИ В НАУКОЕМКИХ ОТРАСЛЯХ И ИХ ЗНАЧЕНИЕ (НА ПРИМЕРЕ КОСМИЧЕСКОЙ ОТРАСЛИ)
Authors: Юрьева Ирина Владимировна , Купрякова Марина Анатольевна , Савкина Юлию Витальевна 
Published: December 2024

В настоящее время в космической отрасли в современных экономических условиях все острее встает вопрос о ее переводе на инновационный путь развития и более активном использовании в космической деятельности высоких технологий. Обеспечение инновационного развития является необходимым условием развития космической индустрии по основным ее направлениям. В настоящее время существует огромное количество множество примеров, доказывающих, что инвестиции в космические технологии и исследования приносят колоссальную прибыль, если находят применение в экономике. Поэтому в настоящее время вопросы развития космической отрасли стали крайне актуальны. Так, для нее встает вопрос о переводе отрасли на инновационный путь развития. Поэтому, в данной статье рассматривается значение инноваций в развитии наукоемких отраслей (в частности в космической отрасли).
КОНЦЕПТУАЛЬНЫЕ ОСНОВЫ ПРАВОВОЙ РЕГЛАМЕНТАЦИИ КРИТИЧЕСКОЙ ИНФОРМАЦИОННОЙ ИНФРАСТРУКТУРЫ В РОССИЙСКОЙ ФЕДЕРАЦИИ
Authors: Талипова Ляйсан Ринатовна 
Published: December 2024

В данной статье проанализированы законодательные новшества Российской Федерации в области безопасности критической информационной инфраструктуры. Рассмотрена система нормативно – правовых актов, дополняющих Федеральный закон от 26 июля 2017 г. № 187-ФЗ «О безопасности критической информационной инфраструктуры Российской Федерации». Определены основные положения данных документов, выделены направления, требующие дальнейшего усовершенствования и более детальной регламентации, с учётом их практической реализации. Дана авторская оценка законотворческой деятельности, в отношении информационной безопасности.
ШАНС И РИСКИ ИНИЦИАТИВЫ «ОДИН ПОЯС И ОДИН ПУТЬ» В ПРОЦЕССЕ МЕЖДУНАРОДНОГО СОТРУДНИЧЕСТВА – СЛУЖЕНИЕ ПРИМЕРОМ ДЛЯ РОССИИ
Authors: Чжан Сюэцзюнь , Ма Тянь 
Published: December 2024

Инициатива «Один пояс и один путь» – концепция китайского правительства, выдвинутая на фоне серьезного упорядочения и преобразования глобальной и китайской экономики в посткризисном периоде. В 2017 г. вступление Китая в новый период придало инициативе «Один пояс и один путь» обильное содержание. Продвижение инициативы необходимо не только для развития всех стран вдоль пути, но и для принесения нового шанса восстановлению мировой экономики. С точки зрения глобализации, авторы впервые подмечают, что инициатива принесет шанс для международного сотрудничества, и некоторые риски должны быть преодолены в процессе реализации этого проекта. В статье авторы предлагают рекомендации к продвижению инициативы «Один пояс и один путь» как новой модели инвестиционного сотрудничества, предполагающей следующее: – поощрение совместного строительства зарубежных зон торгово-экономического сотрудничества; – активизацию свободного перемещения финансовых средств между участвующими странами вдоль пути; – приложение усилий по созданию устойчивых и эффективных многосторонних механизмов сотрудничества между участвующими странами.
Identifikasi Citra untuk Membedakan Uang Asli dan Palsu Menggunakan Algoritma Convolutional Neural Network (CNN)
Authors: Harsani Prihastuti , Maulana Muhammad  , Negara Teguh 
Published: December 2024

Peredaran uang palsu di Indonesia terus meningkat seiring dengan kemajuan teknologi dan masih minimnya keaslian uang dengan menggunakan komputer. Sehingga penelitian ini dilakukan bertujuan untuk membangun sistem pendeteksi keaslian uang dengan menggunakan metode Convolutional Neural Network (CNN). Jenis penelitian yang digunakan adalah penelitian Eksperimen kuantitatif berbasis pada Hardware Programming. Instrumen yang digunakan untuk membangun algoritma metode CNN dan pengembangan Web adalah perangkat lunak Visual Studio Code dan bahasa pemrograman Phython. Metode CNN digunakan untuk mengklasifikasikan uang asli dan palsu berdasarkan gambar. Eksperimen dilakukan dengan menggunakan dataset uang kertas yang mempunyai 2 kelas yaitu uang asli sebanyak 1.015 dan uang palsu sebanyak 1.126. Proses penentuan asli dan palsu dilakukan beberapa proses, yaitu: akuisisi data, seleksi data, prapemrosesan data, transformasi, dan pemodelan. Sebelum melakukan proses pembuatan model, data perlu diubah ukurannya menjadi 224x224 piksel untuk model GoogleNet, 256x256 untuk model AlexNet, dan 200x200 untuk model yang dimodifikasi. Model yang dimodifikasi dirancang untuk membandingkan hasil dari GoogleNet dan AlexNet, dengan mengurangi lapisan dan menyesuaikan parameter dengan data yang ada. Analisis data dilakukan dengan cara membandingkan hasil perhitungan nilai training loss, validation loss, akurasi pelatihan, dan akurasi validasi pada variasi nilai epoch, pixel, dan learning rate untuk ketiga model. Hasil terbaik diperoleh dengan parameter yang digunakan pada tahap uji yaitu nilai epoch 50, pixel 244x244, dan learning rate 0.001, dengan pembagian jumlah data latih dan data uji yaitu 70% dan 30%. Berdasarkan parameter tersebut didapatkan hasil dari training loss sebesar 4%, validation loss sebesar 69,9%, training accuracy sebesar 97,8% dan validation accuracy sebesar 82,65%. Hasil tersebut merupakan hasil terbaik dari 3 arsitektur yang dibandingkan, dan dari berbagai jenis pengujian.
Analyzing the Dry Sliding Wear Performance on Aluminum 6061 Alloy Reinforced with SIC And B₄C Hybrid Nanocomposite
Authors: Elil Raja D. , Vijayan S. , Sonar Tushar , Prathap Singh S. 
Published: December 2024

Abstract
The methodology of enhancing the wear resistance of hybrid Metal Matrix Composites (MMCs) involves reinforcing the metal or alloy with robust materials. This study focuses on the manufacturing of a hybrid nanocomposite, which includes 0.6 vol.% of Silicon Carbide (SiC) and 0.2 vol.% of Boron Carbide (B₄C) nanoparticles with aluminum (Al) 6061 alloy. This is achieved through an ultrasonic assisted stir casting methodology, and a pin-on-disc tribometer is used to investigate the sliding wear rate and Coefficient of Friction (COF). Vicker's microhardness tester evaluated the microhardness of the nanocomposite, revealing it to be 18% harder than the Al 6061 alloy. Further, the metallurgical examination done through Hi-Resolution Scanning Electron Microscope (HRSEM) and X-ray diffraction (XRD) techniques confirmed the existence of SiC and B₄C nanoparticles. The wear experiment was done under diverse input wear experiment variables such as applied load, sliding velocity, and sliding distance, and optimization was done through Taguchi’s technique. Applied load contributed 40.9% to wear rate, and increasing load increased wear rate due to higher pin-counter disc contact pressure. Sliding speed contributed 42.18% to the COF, while increasing it decreased it due to lower pin-disc contact. The worn area inspection revealed an abrasive wear mechanism with substantial surface degradation at higher loads. The study may progress science and develop stronger materials for many purposes.
Behavioural mimicry or herd behaviour of Generation Z? Social media interactions in the context of information overload
Authors: Stepaniuk Krzysztof , Lăzăroiu George , Misiewicz Chrystyna , Pereira Verónica Crespo 
Published: December 2024

Abstract
The article aimed to examine the relationship between Generation Z’s interactions on social networking sites in the context of herd behaviour and behavioural mimicry through central and peripheral content processing pathways. The study was conducted using the CAWI method on a group of 142 representatives of Generation Z from selected universities in Poland. Nonparametric tests were used for statistical analyses. In the case of information overload, approximately 20 % of respondents’ interactions on different social media platforms may result from behavioural mimicry and herd behaviours. This type of activity is influenced primarily by the observed number of interactions and the emotional nature of other users’ reactions. The observed differences are determined by gender, the type of social media platform, and related content specificity. Research limitations result from the specificity of the research sample in the context of its homogeneity and size. The theoretical contribution is related to the development of the cognitive-emotional-behavioural theory of memes about the imitation of interactions of social media users’ conditioned herd behaviour and behavioural mimicry. The novelty of the research lies in the application of the theoretical Elaboration Likelihood Model approach to the analysis of herd behaviour and behavioural mimicry in the context of research on the cognitive, emotional, and behavioural activities of various social media platform users.
Mapping the barrier of halal food industry performance and the policy insight: combination of ISM-DEMATEL approach
Authors: Susanty Aries , Puspitasari Nia Budi , Mariana Shinta Devi , Fekete-Farkas Mária , Gyenge Balázs , Nazaruddin La Ode 
Published: December 2024

Abstract
The study aims to understand interlinkages and the relative importance of barriers to maximising the performance of the halal industry in Indonesia using Integrated Interpretive Structural Modelling (ISM) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology. This study uses the content validity method to find the relevant or valid barrier, the ISM methodology to examine the interrelationship between the valid barriers, and the DEMATEL methodology to find the cause–effect relationships and revise the ISM digraph. To the best of the authors’ knowledge, this study is the first to investigate the barriers to systematically maximising halal industry performance in Indonesia, elaborating on the relationship between relevant theories and practical issues to identify the barriers. The study’s integrated approach helps corporate and political decision-makers identify essential barriers to development and explore the interdependencies between barriers. This can help decision-makers overcome critical obstacles, use resources more efficiently, and find innovative solutions for the industry’s viability and dynamic development.
Sustainable development of smart cities through municipal waste incinerators: the examples of artificial intelligence in technological entrepreneurship
Authors: Czemiel-Grzybowska Wioletta , Pavlakova-Docekalova Marie , Ratajczak-Mrozek Milena , Thompson Cindy 
Published: December 2024

Abstract
The article aims to analyse AI’s use for optimising management processes in urban waste incineration plants, making them consistent with the implementation of the sustainable development goals SDG #11 and SDG #12. The triangulation of research methods was chosen to achieve the most reliable research outcomes. The case study was the selected qualitative method. Among the available techniques, two were selected: Computer-Assisted Web Interviewing (CAWI) and in-depth interviews, both of which were employed to gather the necessary data. Scientific research analysed the AI-based technologies used by individual incinerators. The analysis encompassed trends in waste incineration plants utilising AI for sustainable development in smart cities, particularly for achieving SDG#11 and SDG#12, focusing on leveraging AI to enhance environmental outcomes. The effect of using AI in municipal waste incineration plants for SDG#11 and SDG#12 can be applied to other entities implementing the principles of sustainable development in smart cities. The identified trends underscore the importance of adopting and implementing integrated policies and plans that address inclusion, resource efficiency, climate change mitigation and adaptation.
Tax Evasion in Europe: Causes and Consequences
Authors: Özker Ahmet Niyazi , Debkumar Chatterji Sudip , Abdeslam Chraibi , Cordova Wilson , Lim Cristina Teresa N. 
Published: December 2024

Abstract
Corruption remains a perennial problem in Eastern Europe, especially in countries that have a socialist influence. This study examines the drivers, the effects on economic growth, and the measures that governments take to address this vice in these economies. Considering the empirical evidence and case studies from Bulgaria, Romania, and Hungary, this study finds that factors that have led to tax evasion are archaic taxation systems, high taxes, and inefficiency in the administrative systems. Descriptive and inferential statistics show that high taxes and unemployment have a positive relationship with tax evasion while GDP has a negative non-significant relationship. There is a decrease in government revenue which implies that fewer services will be provided to the public and increased social and economic disparity. Previous approaches to combating evasion include the simplification of the tax code and better enforcement, which have produced only limited success. The study also recommends that governments should broaden the policies to enhance the efficiency of the tax system by simplifying it, improving the mechanisms of compliance, and creating an investment-friendly environment. Thus, this research provides a historical and economic analysis of tax evasion and its impact on transitional economies and provides recommendations for how to reduce the effects of tax evasion on development. These results are valuable for policymakers who intend to improve fiscal sustainability and economic development in the Eastern European region.