bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated Assessment of Leadership Style and Professional Values of a Top-Manager and its Compliance with SDGS
Authors: Kashkin Vasily , Androsik Yuriy 
Published: November 2024

Objective: the main objective was to use automated text analysis and assess the leadership styles and professional values of top managers, as well as to study how these parameters can influence the achievement of the SDG "Decent work and Economic growth".

Theoretical Framework: The work is based on the idea that the leadership style and intelligence of a top manager determine the trajectory of a company’s development, the psychological working climate, the attitude towards employees, and the decision-making mechanism within and outside the team.

Method: The authors used automated psychological text analysis using AI-based chatbots (ChatGPT, Gemini, Gigachat) and a specialized psychological text analysis program (LIWC). These methods were compared with psychological content analysis performed by a person.

Results and Discussion: The obtained results showed that automated text analysis can be effectively used to understand the personality of the manager and the features of decision-making on his part in relation to employees and the organization.

Research Implications: the approach proposed by the authors will allow for the development of measures to increase labor productivity and create decent jobs, taking into account the personality and values of the top manager, and will serve as a basis for the development of creativity and innovation in the company, thereby contributing to the achievement of the SDGs of “Decent Work and Economic Growth”.

Originality/Value: the conducted research confirmed our hypothesis that text analysis allows us to understand important personality traits from the standpoint of intelligence, logic, thinking and speech, using artificial intelligence tools.
Sustainable Livelihood in Post-Disaster Tourism: Lesson Learned from Merapi Tourism Site
Authors: Sakir Sakir , Mutiarin Dyah , Saputra Rivaldi Alan , Abhipraya Fairuz Arta 
Published: November 2024

This research aims to explore the practice of the Sustainable Livelihood Tourism Framework (SLTF) in post-disaster management in the Mount Merapi area, Sleman, Yogyakarta. The focus of SLTF achievement in this study encompasses ecological, economic, sociocultural, and institutional dimensions. Research on the SLTF has indeed become a significant focus in tourism studies. However, most of these studies are confined to a single research methodology, resulting in limited scope and a lack of comprehensive discussion. This study used a mixed-method approach with an explanatory sequential design. The study found that tourism positively impacts the increase of economic activities in the community. However, on the ecological side, tourism presence degrades environmental quality due to issues such as carbon emissions, industrial waste, climate change, the greenhouse effect, illegal logging, and illegal mining. Furthermore, other policies were identified, such as mineral water mining permits that degrade the environment and the establishment of landfill sites in the Kaliurang area, which spoils the natural beauty. Tourism practices also have a negative impact on institutional aspects, as the community perceives government policies as too complex and not meeting their expectations. Lastly, in the socio-cultural aspect, tourism preserves traditional values, as tourists tend to respect them. This mixed-method approach underscores the need for balanced strategies that address environmental concerns while maximizing economic benefits, improving institutional involvement, and supporting socio-cultural enhancement.
DESAIN UI/UX TELAHOUSE: APLIKASI OTOMATIS PENGENDALIAN LAMPU DAN SUHU UNTUK LANSIA
Authors: Ainurohmah Sonya , D. Irianto Kurniawan 
Published: November 2024

Penelitian ini bertujuan merancang dan mengembangkan desain aplikasi Telahouse untuk pengendalian lampu dan suhu otomatis pada rumah cerdas yang dirancang khusus untuk lansia. Desain UI/UX aplikasi ini berfokus pada kemudahan penggunaan, kejelasan antarmuka, dan fungsionalitas yang dapat diakses oleh pengguna lanjut usia. Metode yang digunakan dalam penelitian ini yaitu User Centered Design (UCD) dengan memiliki 4 tahapan yang terdiri dari menentukan konteks penggunaan, menentukan kebutuhan pengguna dan organisasi, menghasilkan solusi desain, dan mengevaluasi desain terhadap kebutuhan pengguna, serta pengujian prototipe menggunakan metode kognitif walkthrough . Hasilnya menunjukkan bahwa pengguna lanjut usia memerlukan antarmuka yang sederhana dengan ikon besar, teks berkontras tinggi, dan navigasi suara untuk memudahkan interaksi tanpa perlu gerakan fisik yang berlebihan, serta fitur panduan aplikasi agar membuat pengguna mudah memahami penggunaan aplikasi. Selain itu, fitur pengaturan jadwal otomatis dan notifikasi real-time juga diaktifkan untuk meningkatkan kenyamanan dan keamanan pengguna. Pengujian menunjukkan bahwa partisipan mampu menyelesaikan skenario yang diberikan dengan cepat dan dengan sedikit kesalahan, menunjukkan bahwa desain yang dikembangkan telah memenuhi kebutuhan pengguna. Aplikasi ini diharapkan dapat meningkatkan kenyamanan dan kemandirian lansia dalam mengelola lingkungan rumah mereka.
IMPLEMENTASI KURIKULUM MERDEKA BELAJAR PADA PEMBELAJARAN SAINS
Authors: Ahmad Deni Nasir , Sanjayanti Arum , Setyowati Luluk 
Published: November 2024

Tujuan penelitian adalah kurikulum merdeka belajar di Indonesia merubah pradigma baru dalam Pendidikan sains pada pembelajaran merdeka belajar. Metode yang digunakan dalam penelitian studi literatur dari jurnal-jurnal yang sudah publish dari tahun 2020 s/d 2023. Hasil penelitian menjelaskan bahwa kurikulum merdeka belajar mampu merubah pradigma baru dalam pembelajaran merdeka belajar khususnya pendidikan sains. Kesimpulan kurikulum merdeka belajar menekankan pada kebebasan dalam melakukan pembelajaran dan mengeksplorasi ilmu pengetahuan (literasi) khususnya pendidikan sains dimana penggunaan teknologi pada perubahan era teknologi 4.0 menuju era society 5.0 sebagai jawaban Indonesia dalam menunjukkan kesiapan Indonesia dalam mempersiapkan sumber daya manusia guna menyonsong perubahan dan kecepatan teknologi digitalisasi dan sosial dimasyarakat global.
THE COMPARTMENT MODEL WITH INTERVENTION FOR STUNTING PREVALENCE
Authors: Sari Yulia Retno , Samat N.A 
Published: November 2024

This study aims to propose a new mathematical model to reduce the prevalence of stunting with interventions given to children aged 0 months to less than 24 months. The interventions given are how often toddlers are checked for health at integrated health centers, breastfeeding, complementary feeding and immunization. This study develops a compartment model that considers the basic characteristics of stunting transmission and interventions that will be given to toddlers diagnosed with stunting. This mathematical model will include the development of difference equations and differential equations to represent the transmission of stunting prevalence in real life. This new initial mathematical model can be used by authorities as a prevention strategy to reduce the prevalence of stunting. The extension of this study will include the application of the proposed mathematical model to stunting data in Indonesia.
DEVELOPMENT OF A METHODOLOGY FOR DETERMINING THE VOLUME OF CAVITIES OF GAS ACCUMULATIONS IN WASTE AREAS AND METHANE CONTENT
Authors: D.R. Akhmatnurov , N.M. Zamaliyev , M.S. Usenbekov , R.A. Mussin 
Published: November 2024

The article explores the use of degassing wells for capturing and utilizing methane at the Kirovskaya mine. The study presents results from measurements of gas pressure and flow rate at the vacuum pump station. An analysis of the parameters of the methane-air mixture and methane concentration in the mined-out space confirms the accuracy of the gas collector volume calculations. Factors affecting methane concentration, such as the volume of voids and fractures, were investigated, and methods for managing gas emission were examined. Methane concentrations in the Karaganda Basin mines can reach 90-95% after ventilation ceases. Methane flow rates through degassing wells ranged from 4.9 to 1380.6 thousand m³, with a total capture of 7547.1 thousand m³ over 21 months. The results highlight the importance of degassing wells for the safe management of gas emission
Мақала «Кировская» шахтасында метанды жинау және пайдалануға арналған дегазациялық скважиналардың қолданылуын зерттейді. Жұмыста вакуумды сорғыш станциядағы қысым мен газ дебитін өлшеу нәтижелері ұсынылған. Метан-ауаның қоспаларының және шахтадағы метан концентрациясының параметрлерін талдау жүргізіліп, газ жинаушы көлемін есептеу дәлдігі расталған. Метан концентрациясына әсер ететін факторлар, мысалы, қуыс және жарықшақтардың көлемі зерттелген, және газ шығару әдістері қарастырылған. Карагандин бассейні шахталарында метан концентрациясы проветриваниені тоқтатқаннан кейін 90-95%-ға жетуі мүмкін. Дегазациялық скважиналар арқылы метан дебиті 4,9-дан 1380,6 мың м³-ке дейін өзгеріп, 21 ай ішінде 7547,1 мың м³ метан жинақталған. Нәтижелер дегазациялық скважиналардың газ шығаруын қауіпсіз басқарудағы маңызды рөлін көрсетеді
Статья исследует применение дегазационных скважин для каптажа и утилизации метана на шахте «Кировская». В работе представлены результаты измерений давления и дебита газа в вакуум-насосной станции. Проведен анализ параметров метановоздушной смеси и концентрации метана в выработанном пространстве, что подтвердило точность расчетов объема газового коллектора. Исследованы факторы, влияющие на концентрацию метана, такие как объем пустот и трещин, и рассмотрены методы управления газовыделением. Концентрация метана в шахтах Карагандинского бассейна может достигать 90-95% после прекращения проветривания. Дебит метана через дегазационные скважины колебался от 4,9 до 1380,6 тыс. м³, с общим захватом 7547,1 тыс. м³ за 21 месяц. Результаты подчеркивают важность дегазационных скважин для безопасного управления газовыделением
Методические основы развития скоростно-силовых качеств в различных видах спорта
Authors: А.Ж. Тулеев , Қ.Н. Нурпеисов , Р.Б. Қасымханов , Қ.Т. Шенгельбаев 
Published: November 2024

В данной статье раскрываются основные правила развития скоростных и силовых качеств в выбранном виде спорта. Подробно описана методика развития скоростно-силовых качеств на различных этапах спортивного совершенствования. В данной статье изложены узловые моменты и принципы дозирования нагрузки при неправильном построении методики развития скоростно-силовых свойств и побочные эффекты.
This article reveals the basic rules for the development of speed and strength qualities in the chosen sport. The methodology of the development of speed and strength qualities at various stages of sports improvement is described in detail. This article describes the nodal moments and principles of load dosing in case of incorrect construction of the methodology for the development of speed-force properties and side effects.
Бұл мақалада таңдалған спорт түріндегі жылдамдық пен күш қасиеттерін дамытудың негізгі ережелері ашылады. Спорттық жетілдірудің әртүрлі кезеңдерінде жылдамдық пен күш қасиеттерін дамыту әдістемесі егжей-тегжейлі сипатталған. Бұл мақалада жылдамдық-күштік қасиеттерді дамыту әдістемесінің дұрыс құрылмауындағы жүктеме дозасының түйіндік сәттері мен принциптері және жанама әсерлері көрсетілген.
Возможности больших данных в исскусственном интеллекте
Authors: Н.Т. Шындалиев , А. Серикказы , Б.Л. Рохая , Г.Ж. Ерланова 
Published: November 2024

Анализ данных с использованием искусственного интеллекта — это процесс использования передовых методов искусственного интеллекта для извлечения идей и знаний из больших наборов данных. Это включает в себя использование алгоритмов машинного обучения, шаблонов глубокого обучения и методов обработки естественного языка для выявления закономерностей и взаимосвязей в больших объемах данных, которые являются основой для принятия решений и стимулируют инновации. Цель анализа больших данных с использованием искусственного интеллекта — автоматизировать анализ данных и сделать процесс более быстрым, точным и масштабируемым. Это позволяет организациям использовать весь потенциал своих данных и достигать конкурентных преимуществ. Поэтому в нашей исследовательской работе стоит учитывать важность искусственного интеллекта при анализе больших объемов данных. Кроме того, анализируется ряд научных работ с целью определения эффективности использования искусственного интеллекта при анализе больших объемов данных.
Data analysis using artificial intelligence is the process of using advanced artificial intelligence techniques to extract insights and knowledge from large data sets. This includes the use of machine learning algorithms, deep learning patterns, and natural language processing techniques to uncover patterns and relationships in large amounts of data that are the basis for decision-making and encourage innovation. The purpose of big data analysis using artificial intelligence is to automate data analysis and allow the process to be faster, more accurate and scalable. This allows organizations to use the full potential of their data and achieve competitive advantages. Therefore, in our research work is to consider the importance of artificial intelligence in the analysis of large amounts of data. In addition, several research papers are analyzed in order to determine the effectiveness of the use of artificial intelligence in the analysis of large amounts of data.
Mehr P-Effizienz für den Raps
Authors: Schaal René 
Published: November 2024

Frankfurt a.M. Raps ist wirtschaftlich und bodenökologisch eine wertvolle Fruchtart in der Fruchtfolge, hat jedoch einen hohen Bedarf an Phosphor. Wesentlicher Faktor einer verbesserten P-Versorgung ist für die große Mehrzahl aller Pflanzenarten die Symbiose mit Mykhorrhiza-Pilzen, zu der der Raps allerdings nicht fähig ist.
Freiberufler für freie Stellen
Authors: Schaal René 
Published: November 2024

Frankfurt a.M. Die Situation am deutschen Arbeitsmarkt bleibt angespannt: Viele Unternehmen, auch aus der Agrarbranche, klagen weiterhin über einen gravierenden Fachkräftemangel – und können wichtige Positionen oft nicht zeitnah und adäquat besetzen.
PENGARUH RASA INGIN TAHU DAN KEMANDIRIAN BELAJAR TERHADAP LITERASI SAINS SISWA SMP NEGERI 1 PULAU BURUNG
Authors: ZAINUDIN ZAINUDIN , DAULAY MUSNAR INDRA , RAHAYU UCU 
Published: November 2024

The purpose of this study is to analyze the influence: 1) curiosity on students' science literacy, 2) learning independence on students' science literacy, 3) curiosity and learning independence together on students' science literacy at SMPN 1 Burung Island, Indragiri Hilir Regency, Riau. This type of research is quantitative descriptive, with a descriptive inferential method, namely to test the influence of independent variables on bound variables. The sample used purposive sampling as many as 90 out of 225 students. The results of the study were obtained: 1) there was a significant influence of curiosity on science literacy, where the value of Sig. ,000 < 0.05 and the value of Thitung = 5.911 > 1.987; 2) there was a significant influence of learning independence on science literacy, where the value of Sig. ,000 < 0.05 and the value of Thitung = 4.813 > 1.987 were obtained; 3) there was an influence of curiosity and independence together on science literacy. This is evidenced by the value of Sig. ,000 < 0.05 and the value of Fcal = 74.167 > 3.10. Thus, it can be concluded that: 1) curiosity has a significant effect on science literacy; 2) learning independence has a significant effect on science literacy, 3) curiosity and learning independence together have a significant effect on students' science literacy.
ABSTRAKTujuan dari penelitian ini untuk menganalisis pengaruh: 1) rasa ingin tahu terhadap literasi sains siswa, 2) kemandirian belajar terhadap literasi sains siswa, 3) rasa ingin tahu dan kemandirian belajar secara bersama-sama terhadap literasi sains siswa di SMPN 1 Pulau Burung Kabupaten Indragiri Hilir, Riau. Jenis penelitian ini deskriptif kuantitatif, dengan metode inferensial deskriptif yaitu untuk menguji pengaruh variabel bebas terhadap variabel terikat. Sampel menggunakan purposive sampling sebanyak 90 dari 225 siswa. Hasil Penelitian diperoleh: 1) terdapat pengaruh yang signifikan rasa ingin tahu terhadap literasi sains, dimana diperoleh nilai Sig. ,000 < 0,05 dan nilai Thitung = 5,911 > 1,987; 2) terdapat pengaruh yang signifikan kemandirian belajar terhadap literasi sains, dimana diperoleh nilai nilai Sig. ,000 < 0,05 dan nilai Thitung = 4,813 > 1,987; 3) terdapat pengaruh rasa ingin tahu dan kemandirian secara bersama-sama terhadap literasi sains. Hal ini dibuktikan dengan nilai Sig. ,000 < 0,05 dan nilai Fhitung = 74,167 > 3,10. Dengan demikian dapat disimpulkan bahwa: 1) rasa ingin tahu berpengaruh signifikan terhadap literasi sains; 2) kemandirian belajar berpengaruh signifikan terhadap literasi sains, 3) rasa ingin tahu dan kemandirian belajar secara bersama-sama berpengaruh signifikan terhadap literasi sains siswa.
Influence of LO cable movements on VNA measurements using Frequency Extensions
Authors: Gellersen Frauke Kathinka Helene , Ulm David , Rausche Florian , Schramm Andreas Tobias , Kuhlmann Karsten 
Published: November 2024

Abstract. In this study, the impact of local oscillator cable movements or drift during VNA measurements using frequency extenders is investigated. A non-reciprocal measurement error caused by alterations of the local oscillator signal in R 900 (WR 10) waveguide measurements from 75 to 110 GHz is observed and systematically analyzed. Furthermore, the theory behind this effect and its implications on measurement results are discussed, as well as possible corrections for both calibrated and raw measurement data.
Effect of terrestrial nutrient limitation on the estimation of the remaining carbon budget
Authors: De Sisto Makcim L. , MacDougall Andrew H. 
Published: November 2024

Abstract. The carbon cycle plays a foundational role in the estimation of the remaining carbon budget. It is intrinsic for the determination of the transient climate response to cumulative CO2 emissions and the zero-emissions commitment. For the terrestrial carbon cycle, nutrient limitation is a core regulation on the amount of carbon fixed by terrestrial vegetation. Hence, the addition of nutrients such as nitrogen and phosphorus in land model structures in Earth system models is essential for an accurate representation of the carbon cycle feedback in future climate projections. Therefore, the estimation of the remaining carbon budget is impacted by the representation of nutrient limitation in modelled terrestrial ecosystems; however, it is rarely accounted for. Here, we estimate the carbon budget and remaining carbon budget of a nutrient-limited Earth system model, using nitrogen and phosphorus cycles to limit vegetation productivity and biomass. We use eight Shared Socioeconomic Pathways (hereafter SSP) scenarios and idealized experiments with three distinct model structures: (1) carbon cycle without nutrient limitation, (2) carbon cycle with terrestrial nitrogen limitation, and (3) carbon cycle with terrestrial nitrogen and phosphorus limitation. To capture the uncertainty in the remaining carbon budget, three different climate sensitives were tuned for each model version. Our results show that, overall, nutrient limitation reduced the remaining carbon budget for all simulations in comparison with the carbon cycle without nutrient limitation. Between nitrogen and nitrogen–phosphorus limitation, the latter had the lowest remaining carbon budget. The mean remaining carbon budgets obtained from the SSP scenario simulations for the 1.5 °C target in the non-nutrient-limited, nitrogen-limited, and nitrogen–phosphorus-limited models were 228, 185, and 175 Pg C, respectively, relative to the year 2020. For the 2 °C target, the mean remaining carbon budget values were 471, 373, and 351 Pg C for the non-nutrient-limited, nitrogen-limited, and nitrogen–phosphorus-limited models, respectively, relative to the year 2020. This represents a reduction of 19 % and 24 % for the 1.5 °C target and 21 % and 26 % for the 2 °C target for the respective nitrogen- and nitrogen–phosphorus-limited simulations compared with the non-nutrient-limited model. These results show that terrestrial nutrient limitation constitutes an important factor to be considered when estimating or interpreting remaining carbon budgets and that it is an essential uncertainty in the remaining carbon budgets from Earth system model simulations.
Numerical Simulation of Subfields in a Multi-Tower Concentrated Solar Field
Authors: Hussaini Zaharaddeen Ali , Sansom Chris , King Peter , Karim Mounia 
Published: November 2024

The research introduces an innovative approach to enhancing the efficiency of Multi-tower Concentrated Solar Power (CSP) through a configuration termed Auxiliary Tower with Subfield (ATS). ATS introduces an auxiliary tower and creates a subfield by adding heliostats near its position, aiming to optimize the solar field's optical efficiency and offer modular decentralized power output. ATS configuration employs existing field configurations to pinpoint inefficiencies where an additional tower can be installed, and heliostats are systematically added to the subfields through numerical optimization using various design variables. Although the inclusion of a subfield in the ATS configuration enhances energy output, it does not always offset the additional costs of the auxiliary tower, receiver, and extra heliostats, in small fields. However, when applied to larger fields, starting from 200MWth, ATS begins to provide a lower Levelized Cost of Heat (LCOH) compared to optimized conventional thermal fields, demonstrating its potential applicability and efficiency in larger-scale CSP setups. Applying ATS to a 120 MWth Gemasolar-like plant further confirms its advantages, with 160 MWth emerging as the optimal enhancement point that boosted efficiency while lowering LCOH. ATS shows promise as an efficient, modular approach to scaling up power tower system.
The Usage of Machine Learning Algorithms in Credit Evaluation Model
Authors: Ji Xiaoliang 
Published: November 2024

Credit scoring models are important tools for evaluating the credit status of individuals or businesses and play a significant role in the financial field. This study aims to suggest a prediction framework for credit evaluation model based on machine learning (ML) algorithms and explore the application principles and steps of combining credit scoring models, then provide an practical example to show the method for applying the model.In addition, the article also analyzes the issues that credit evaluation models should pay attention to in production practice at the end.