bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Layanan Perpustakaan Umum Ramah Lanjut Usia: A Literature Review
Authors: Rismayeti Rismayeti , Eko Noprianto
Published: January 2025

The significance of library services for the elderly is to provide a space for creativity and collaboration, thus enabling the elderly to remain active, independent and empowered. The objective of this research is to develop an understanding of the characteristics of public library services in Indonesia that are designed to meet the needs of older people. The objective of this paper is to identify and provide recommendations for the concept of developing elderly-friendly public library services, with a particular focus on Indonesia. This research employs a systematic literature review methodology to develop guidelines within the field of social sciences. The literature review was conducted in four stages: (1) the design of the review, (2) the execution of the review, (3) the analysis, and (4) the writing up of the review. The research data was collected through a search on Google Scholar, which focused on previous research on library services for the elderly, as well as literature deemed relevant to the research objectives. The findings of the research project have yielded several innovative approaches for the development of elderly-friendly public library services. These include the implementation of accessible physical design, the introduction of specialised services and programmes, the provision of assistive technology, the establishment of collaborative partnerships with local organisations, and the incorporation of regular evaluation. It is anticipated that the implementation of these recommendations will result in a more inclusive and useful library, as well as enhanced support for the welfare and active participation of the elderly in society.
Trend Publikasi Tentang Peran Media Sosial Dalam Aktivisme Pendekatan Bibliometrik
Authors: Selia Febi Zahra  , Rully Khairul Anwar  , Elnovani Lusiana
Published: January 2025

Today's human life cannot be separated from the role of social media, including in the world of activism. Social media which tends to be "free" and can be used to convey opinions and express oneself presents a space that can be used as a space for the development of activism itself. This development has been highlighted by several researchers, who have presented articles on this topic. This study aims to determine publications trends that emphasize the role of social media in activism activities. The research method is carried out quantitatively by taking a bibliometric approach. Researchers use purposive sampling techniques by setting language limitations, namely English. Data analysis activities are carried out using the help of the biblioshiny program with data taken from Scopus. The results obtained based on the three keywords, namely "social media", "social media role", and "activism", include 585 articles in the 2013-2023 period with the article document type. The article entitled “Unpacking the Use of Social Media for Protest Behavior: The Roles of Information, Opinion Expression, and Activism” written by Valenzuela, 2013 is one of the articles with the most citations, namely 372 citations and the USA is one of the regions that produce the most research with a similar theme. However, the publications trend on the role of social media in activism will continue to grow along with the increasingly diverse use of social media.
Kemampuan Berpikir Kritis Siswa dalam Memecahkan Soal Numerasi Ditinjau dari Self Confidence
Authors: Sintya Gina , Sari Christina Kartika
Published: January 2025

Kemampuan berpikir kritis berperan penting pada pembelajaran matematika bagi siswa dalam menyelesaikan dan memecahkan permasalahan matematika. Kemampuan berpikir kritis ialah keterampilan yang dapat diimplementasikan dalam berbagai keadaan dan kemungkinan. Tujuan riset ini yakni guna menganalisis kemampuan berpikir kritis siswa dalam memecahkan soal numerasi ditinjau dari self confidence. Riset ini menggunakan metode penelitian deskriptif dengan menggunakan pendekatan kualitatif. Subjek terdiri dari 6 siswa kelas VIII SMP Swasta di Surakarta dengan tingkat self confidence rendah, sedang, serta tinggi. Beberapa teknik yang dipergunakan pada pengumpulan data yakni tes berpikir kritis dan numerasi, angket self confidence, serta wawancara. Sementara itu, penelitian ini juga melibatkan beberapa teknik analisis data yakni reduksi data, penyajian data, serta pengambilan kesimpulan. Hasil riset memperlihatkan bahwasannya: 1) siswa self confidence tinggi menguasai keseluruhan indikator berpikir kritis yakni interpretation, analysis, evaluation, inference, explanation, serta self regulation; 2) siswa self confidence sedang mampu menguasai 4 indikator seperti interpretation, analysis, evaluation, serta inference; 3) siswa self confidence rendah hanya mampu menguasai 1 indikator yakni interpretation.
A voltammetric sensor based on carbon fiber paper modified with shungite and copper formazanate for the determination of lidocaine
Authors: Bukharinova M. А. , Stozhko N. Yu. , Fedorchenko T. G. , Lipunova G. N. , Shabrova E. V. , Khamzina Е. I. , Tarasov А. V.
Published: January 2025

A highly sensitive sensor based on carbon fiber paper modified with a shungite–copper formazanate composite is presented for the voltammetric determination of lidocaine. The synthesized organometallic complex, composite, and modified electrode are characterized by infrared spectroscopy, high-resolution mass spectrometry, elemental analysis, scanning electron microscopy, and cyclic and linear sweep voltammetry. The twofold increase in the current of the lidocaine oxidation peak on the modified electrode compared to the unmodified one is associated with the sensitizing effect of the composite modifier, which is due to an increase in the electroactive area and the number of lidocaine binding sites on the electrode surface. The sensor exhibits a wide dynamic range from 2 to 2120 µM with a low limit of detection of 0.18 µM lidocaine and high sensitivity of 0.755 µA/V µM. The interelectrode and intraelectrode repeatability of the analytical signal do not exceed 3.5%. The sensor response is stable within three weeks. The developed sensor was used for the determination of lidocaine in pharmaceuticals. The results of an analysis of real samples demonstrated good reproducibility (RSD ≤ 5.5%) and recovery (98–102%).
Comparison of methods for rapid assessment of selectivity and efficiency of the analytical signal of fluorescent phases of different natures
Authors: Kuchmenko T. А. , Vandychev D. Yu. , Yagov V. V. , Umarhanov R. U. , Ledeneva I. V.
Published: January 2025

The paper presents the results of assessing the sorption and fluorescence properties of compounds from the azolotriazine class and phases based on cadmium sulfide quantum dots in the presence of volatile organic compounds (biomarkers of the state of living systems). The sorption properties of phases based on organic dyes and encapsulated semiconductors in relation to vapors of alcohols, ketones, amines, acids, ammonia, and aldehydes were studied using direct high-sensitivity quartz crystal microgravimetry. Spectral properties and their changes in the presence of analyte vapors were studied using various spectroscopic methods (absorption, photoluminescence). The results of these studies and the possibility of optimizing this stage were compared. It is proposed to evaluate the consistency of methods for predicting changes in fluorescence properties in test systems for volatile organic compounds using Kendall’s W concordance coefficient. It was found that the highest concordance coefficient (W = 0.89) was obtained with the methods of spectrofluorimetry and direct vapor microgravimetry when sorption occurs on phases—potential fillers for test systems. The correlation of results obtained by different fluorescence methods (visual plate test systems and fluorimetry of phases on paper substrates) is 0.80, which confirms a high degree of consistency in assessing the interaction between analytes and organic, combined fluorochromes. It was established that methods similar in the nature of their analytical response are not better aligned with each other than with the method of direct vapor microgravimetry on microphases of fluorimetric reagents of different natures (CdS/chitosan quantum dots, organic compounds of the azolotriazine class, mixed phases). This, in turn, allows for the selection of simpler, more accessible, and rapid methods and tools for analysis during routine experiments.
Recent Initiatives on Fossil Fuel Transition towards Renewable Energy for Combating Climate Change and a Net-Zero Energy Future
Authors: Gyani Rajeev , Chandel Shyam Singh
Published: January 2025

This study presents the recent trends in the transition from fossil fuels towards renewable energy for combating climate change and achieving a net-zero energy target by 2030 as per United Nations Sustainable Development Goal-7 (Energy for All). However, the Net Zero target is difficult to achieve unless effective energy conservation and energy efficiency policies, regulations, and financial investment, are not initiated along with the major energy transition to renewable energy. Therefore, the study's objective is to present the current status of initiatives by different countries including India to address this problem as per the recommendations of various Conference of Parties including COP-29. The case study of India shows that enhanced energy efficiency, energy conservation, effective solar energy policies, and regulations for high energy-consuming sectors like industry, agriculture, buildings, domestic and awareness among society are important for achieving realistic targets. The Chhattisgarh State study identifies the high energy-consuming sectors, leading to a 2.7 million kWh reduction in energy consumption in the past two decades through various initiatives. These measures are leading India towards an efficient Net-Zero energy transition in a realistic way. The study results are of importance for follow-up action in developing and least-developed countries worldwide.
Meta-Analysis of TPACK Research on Mathematics Education
Authors: Helsa Yullys , Sartono Sartono , Fajri Bayu Ramadhani , Lofandra Wiki
Published: January 2025

Tujuan dari penelitian ini adalah untuk menguji pengaruh Pengetahuan Konten Pedagogis Teknologi (TPACK) terhadap kemampuan matematika calon guru dalam mengajar matematika. Desain penelitian adalah tinjauan pustaka, dan subjek yang disertakan adalah penelitian yang tersedia dari situs web jurnal daring. Subjek penelitian dipilih berdasarkan kriteria inklusi penelitian, dan sebagai hasilnya, enam artikel dipilih untuk analisis TPACK terhadap kemampuan matematika. Data dianalisis dalam meta-analisis berdasarkan ukuran efek. Temuan menunjukkan bahwa TPACK memiliki dampak yang signifikan terhadap kemampuan matematika calon guru sebagaimana ditunjukkan dari ukuran efek rata-rata sebesar 1,06. Hasil tersebut juga menunjukkan bahwa efek keseluruhan TPACK terhadap kemampuan matematika adalah 1,06 dan dapat diklasifikasikan sebagai efek yang tinggi.
The purpose of this study is to examine the effect of Technological Pedagogical Content Knowledge (TPACK) on the pre-service teachers' mathematical ability to teach mathematics. The research design is a literature review, and the subject included is research available from online journal websites. The research subject was selected based on the research inclusion criteria, and as a result, six articles were selected for the analysis of TPACK on mathematical ability. Data were analyzed in a meta-analysis based on the effect size. The findings suggested that TPACK has a significant impact on the pre-service teachers' mathematical ability as shown from the mean effect size of 1.06. The results also indicated that the overall effect of TPACK on mathematical ability is 1.06 and can be classified as a high effect.
Nachhaltigkeitsbewusstsein, nachhaltiges Konsumverhalten und Lebensqualität
Authors: Bremer Ann-Kathrin
Published: January 2025

In welchem Zusammenhang stehen Nachhaltigkeitsbewusstsein und Bereitschaft zum nachhaltigen Konsum bei der jungen Generation? Die quantitative Studie zeigt: Das Nachhaltigkeitsbewusstsein ist hoch, führt aber nicht immer zu entsprechendem Verhalten. Eine Schlüsselrolle spielt hier die Einschätzung der Selbstwirksamkeit. Ausgehend von den Forschungsergebnissen entwickelt die Autorin Empfehlungen für eine Bildung für nachhaltige Entwicklung, die darauf abzielt, das Erfahren von Selbstwirksamkeit zu ermöglichen.
АНАЛІТИЧНИЙ ІНСТРУМЕНТАРІЙ ОЦІНКИ ТА ПЛАНУВАННЯ ДОХОДІВ ПІДПРИЄМСТВ СФЕРИ ДЕВЕЛОПМЕНТУ НЕРУХОМОСТІ
Authors: Закревський Тарас Михайлович
Published: January 2025

The accelerated digitalization of socio-economic processes creates an unprecedented dialectical unity of challenges and opportunities in human capital formation, necessitating a rethinking of approaches to its development. The aim of the research. Development of scientific and theoretical provisions and practical recommendations for the formation of effective analytical tools for assessing and planning the revenues of real estate development enterprises in conditions of uncertainty and dynamism of the market environment. The subject of the research. Theoretical and methodological principles and applied tools for assessing and planning the revenues of real estate development enterprises. The methods of the research. The research is based on the synthesis of process and system approaches, the use of econometric methods, financial analysis, mathematical modeling, optimization methods, and decision theory. The hypothesis of the research. The implementation of comprehensive analytical tools that integrate diagnostic, prognostic, and optimization blocks allows increasing the efficiency of revenue management of development companies. The statement of basic materials. The author's interpretation of the revenues of a development company as a multi-level system of monetization of created added value is proposed. A multicomponent architecture of revenue formation and comprehensive analytical tools, including three interrelated functional blocks, have been developed. The originality and practical significance of the research. An innovative approach to the formation of analytical tools for managing the revenues of development companies has been developed, which provides a synergistic interaction of diagnostic, prognostic, and optimization blocks through a single information and analytical system. Conclusions and perspectives of further research. The necessity of an integrated approach to managing the revenues of development companies is substantiated. Further research is aimed at empirical approbation of the developed models and their adaptation to the specifics of different segments of the real estate market
Digital human technology in the application of live streaming in social media
Authors: Chen Xi , Ramasamy Siva Shankar , She Bibi
Published: January 2025

The subject of this article is the use of Digital Human Technology (DHT) in live broadcasts on social media platforms and its impact on audience engagement and content appeal. This study examines how elements of DHT, such as virtual avatars and AI-driven hosts, are increasingly being used in live broadcasts to improve viewer engagement and retention. The main objective is to evaluate whether the integration of DHT increases viewer engagement, interactivity, and retention, especially compared to traditional streaming methods. This study consists of several key tasks: reviewing the current live DHT landscape, developing a research framework for analyzing engagement metrics, collecting empirical data through surveys and interviews and conducting statistical analysis to identify correlations between DHT use and viewer engagement. The methods used in this study include quantitative approaches such as structured questionnaires to measure viewership indicators and qualitative approaches such as in-depth interviews with streamers and viewers. Statistical methods, such as factor and correlation analysis, are used to assess the impact of DGT on key engagement metrics, such as viewing time, frequency of interaction, and viewer satisfaction. Through systematic observation, this study also captured real-time interactions, providing a comprehensive understanding of DHT effects. The findings emphasize that DHT significantly increases engagement in live broadcasts, providing content creators with innovative ways to retain audiences. However, the high cost of such technology and technical requirements limit its availability to independent streamers. This study provides practical recommendations for streamers and marketers that suggest DHT is a valuable tool for optimizing content appeal and audience engagement. Future research should explore scalable DHT solutions to improve accessibility for a wider range of content creators.
Impact of distortions in UAV images on quality and accuracy of object localization
Authors: Tsekhmystro Rostyslav , Rubel Oleksii , Prysiazhniuk Oleksandr , Lukin Vladimir
Published: January 2025

The localization and classification of objects of different types in images is an important and actively researched topic because the designed methods and tools are exploited in a wide variety of fields, including remote sensing, security systems, and medical diagnostics. Imaging systems installed on-board unmanned aerial vehicles (UAVs) and drones have become popular recently, and they are potentially beneficial for numerous applications like mine detection, traffic control, and crowd control. Images acquired by such systems may suffer from low quality because of the use of rather cheap cameras and the necessity to transfer obtained data via communication lines with limited bandwidth, employing lossy compression. These factors can influence the quality and accuracy of object localization, which is typically negatively performed by trained neural networks. However, the intensity of the noise and distortions that can be considered acceptable, i.e. such that they do not lead to radical reduction of the performance characteristics are unclear. Given this, it is reasonable to investigate the impact of these effects on the quality of object localization and classification using a reliable data size and various noise/distortion intensities. Therefore, the research subject of this paper is the performance of object localization and classification methods for color images acquired by UAV-installed sensors. The primary focus is on the dependence of localization and classification metrics on the noise intensity, where the simulated noise mimics not only noise but also distortions due to lossy compression by modern coders. The aim of this work is to obtain adequate statistics and analyze them to build dependencies of the metrics on the intensity of distortions. The objective is to obtain conditions for which the effects of noise and distortions can be considered negligible or acceptable in practice. The second objective is to analyze the sensitivity of several modern neural network models to noise/distortions.  The result is a statistical assessment of the dependence of model performance on input data quality. The conclusions are based on the statistics characterizing the model performance for the noise/distortion intensity interval. The conclusions allow the selection of the best (most robust) neural networks and the establishment of appropriate performance conditions.
Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset
Authors: Chuiko Gennady , Honcharov Denys
Published: January 2025

Breast cancer is a significant threat because it is the most frequently diagnosed form of cancer and one of the leading causes of mortality among women. Early diagnosis and timely treatment are crucial for saving lives and reducing treatment costs. Various medical imaging techniques, such as mammography, computed tomography, histopathology, and ultrasound, are contemporary approaches for detecting and classifying breast cancer. Machine learning professionals prefer Deep Learning algorithms when analyzing substantial medical imaging data. However, the application of deep learning-based diagnostic methods in clinical practice is limited despite their potential effectiveness. Deep Learning methods are complex and opaque; however, their effectiveness can help balance these challenges. The research subjects. Deep Learning algorithms implemented in WEKA software and their efficacy on the Wisconsin Breast Cancer dataset. Objective. Significant cutback of the dataset's dimensionality without losing the predictive power. Methods. Computer experiments in the WEKA medium provide preprocessing, supervised, and unsupervised Deep Learning for full and reduced datasets with estimations of their efficacy. Results. Triple sequential filtering notably reduced the dimensionality of the initial dataset: from 30 attributes up to four. Unexpectedly, all three Deep Learning classifiers implemented in WEKA (Dl4jMlp, Multilayer Perceptron, and Voted Perceptron) showed the statistically same performance. In addition, the performance was statistically the same for full and reduced datasets. For example, the percentage of correctly classified instances was in range (95.9-97.7) with a standard deviation of less than 2.5 %. Two clustering algorithms that use neurons (Self Organized Map, SOM, and Learning Vector Quantization, LVQ) have also shown similar results. The two clusters in all datasets are not well separated, but they accurately represent both preassigned classes, with the Fowlkes–Mallow indexes (FMI) ranging from 0.81 to 0.99. Conclusion. The results indicate that the dimensionality of the Wisconsin Breast Cancer dataset, which is increasingly becoming the "gold standard" for diagnosing Malignant-Benign tumors, can be significantly reduced without losing predictive power. The Deep Learning algorithms in WEKA deliver excellent performance for both supervised and unsupervised learning, regardless of whether dealing with full or reduced datasets.
Using artificial intelligence methods for the optimal synthesis of reversible networks
Authors: Kyryliuk Taras , Palahuta Mykhailo , Deibuk Vitaly
Published: January 2025

Considering the relentless progress in the miniaturization of electronic devices and the need to reduce energy consumption, technical challenges in the synthesis of circuit design solutions have become evident. According to Moore's Law, the reduction of transistor sizes to the atomic scale faces physical limits, which complicate further development. Additionally, reducing transistor sizes causes current leakage, leading to increased thermal noise, which can disrupt the proper functioning of digital devices. A promising solution to these problems is the application of reversible logic in circuit design. Reversible logic allows for a reduction in energy and information losses because logical reversible operations are performed without loss. The research synthesized optimal reversible circuits based on reversible gates using evolutionary algorithms and compare them with existing analogues. The focus of this study is on logical circuits built using reversible gates, which can significantly reduce energy losses, which is critical for modern and future electronic devices. The synthesis of reversible circuits is closely related to quantum computing, where quantum gates also possess a reversible nature. This enables the use of synthesis methods to create quantum reversible logical computing devices, which in turn promotes the development of quantum technologies. The study focuses on the application of evolutionary artificial intelligence algorithms, specifically genetic algorithms and ant colony optimization algorithms, for the optimal synthesis of reversible circuits. As a result, a detailed description of the key concepts of the improved algorithms, simulation results, and comparison of the two methods is provided. The efficiency of the reversible device synthesis was evaluated using the proposed implementation of the genetic algorithm and the ant colony optimization algorithm. The obtained results were compared to existing analogs and verified using the Qiskit framework in the IBM quantum computing laboratory. The conclusions describe the developed algorithms, which demonstrate high efficiency in solving circuit topology optimization problems. A genetic algorithm was developed, featuring multi-component mutation and a matrix approach to chromosome encoding combined with Tabu search to avoid local optima. The ant colony optimization algorithms were improved, including several changes to the proposed data representation model, structure, and operational principles of the synthesis algorithm, enabling effective synthesis of devices on the NCT basis along with Fredkin gates. An improved structure for storing and using pheromones was developed to enable multi-criteria navigation in the solution space.
Adaptive Fault-Tolerant distributed Systems for Real-Time Critical Workloads
Authors: Algubelli Bipinkumar Reddy , Malikireddy Sai Kiran Reddy
Published: January 2025

Functionality in fault-tolerant systems, particularly in maintaining dependability and availability of the actual time applications for various sectors, including but not limited to healthcare, aerospace, transportation, and industrial control systems, is indispensable. The systems should run continuously; there are breakup equipment and network and software glitches. This paper discusses the major concepts and the ways and issues associated with fault-tolerant distributed computing for real-time applications in safety-critical systems. The course notes emphasize that such measures as redundancy, replication, consensus algorithms, error detection, and recovery strategies ensure that system integrity is maintained even during failure modes and that real-time constraints are met. We consider using case analysis to exploit these approaches to apply such fault-tolerant infrastructures in various sectors as critical environments with an acute need for existing fault-tolerance mechanisms. Present-day problems such as scalability, performance in case of failures, and the effectiveness/cost ratio are also presented in the paper. Finally, future work in self-organizing and self-healing frameworks, which use machine learning, quantum computing, and other related technologies to minimize the effects of faults occurring in real-time distributed systems, is considered. This work highlights the role of building and designing infallible, high-availability system redundancy models to assure such systems' safety, speed, and uninterruptible functionality.
KARAKTERISTIK FAKTOR RESIKO DAN TINGKAT RESIKO STROKE BERDASARKAN STROKE RISK SCORE CARD PADA LANSIA
Authors: Dila Teju Selly Omega , Lestarina Ni Nyoman Wahyu , Suadnyani Ni Ketut
Published: January 2025

Stroke merupakan penyebab kematian nomer dua dan penyebab kecacatan nomer tiga di seluruh dunia. Organisasi kesehatan dunia (WHO) menyatakan seseorang terkena stroke setiap 45 detik dan kematian akibat stroke terjadi setiap 4 detik. Stroke dipengaruhi oleh beberapa faktor yaitu yang dapat dimodifikasi dan tidak dapat dimodifikasi. Oleh karena itu, penting untuk mengetahui faktor resiko stroke dan menggunakan SRSC untuk menilai faktor resiko tersebut guna menentukan tingkat keparahannya. Tujuan penelitian ini adalah untuk mengetahui gambaran faktor resiko stroke dan tingkat resiko stroke mengunakan stroke risk score card (SRSC) pada lansia. Metode penelitian yang digunakan adalah penelitian deskriptif. Sampel yang digunakan adalah lansia di Kelurahan Darmo Kecamatan Wonokromo Surabaya sebanyak 34 orang. Hasil penelitian menunjukkan hasil stroke risk score card (SRSC) didapatkan untuk kategori resiko tinggi 22,9% sebanyak 8 orang, kategori waspada 25% sebanyak 9 orang, dan kategori resiko rendah 51,4% sebanyak 18 orang lansia.
PENINGKATAN FUNGSI KOGNITIF PADA LANSIA DI POSYANDU LANSIA DESA WONOMULYO RW 15 KABUPATEN MALANG
Authors: Priasmoro Dian Pitaloka , Lestari Anisa Putri , Zakariya Amin
Published: January 2025

Lansia pada umumnya akan mengalami kemunduran secara normal dari segala aspek termasuk penurunan daya ingat atau memori, gangguan bahasa, pemikiran, dan pertimbangan. Kegiatan ini bertujuan untuk meningkatkan fungsi kognitif pada lansia di posyandu lansia Desa Wonomulyo RW 15 Kabupaten Malang. Data yang terkumpul dilakukan teknik analisa data univariate dan disajikan dalam bentuk tabel persentase. Dengan populasi seluruh lansia yang mengikuti posyandu lansia di desa wonomulyo rw 15. Cara memilih partisipan dengan teknik total sampling sehingga didapatkan 40 orang. Instrument penelitian kuisoner MMSE.Hasil penelitian menunjukkan bahwa  gambaran Fungsi Kognitif pada Lansia 47,5% (19 orang) adalah gangguan fugsi kognitif berat. Lansia yang tidak  mengalami gangguan fungsi kognitif sebanyak 17,5% (7 orang).Berdasarkan hasil diatas di perlukan penanganan yang tepat agar lansia tidak mengalami hal-hal yang tidak di inginkan. Fungsi kognitif sendiri dapat di tingkatkan Salah satunya dengan cara latihan otak, kurangi stress, menjaga pola hidup dan menjaga kesehatan.
GAMBARAN KARAKTERISTIK DEMOGRAFI PASIEN HIPERTENSI
Authors: Idris Desi Natalia Trijayanti , Sasongko Adeline Bestarian Secia
Published: January 2025

Hipertensi merupakan masalah kesehatan masyarakat yang utama di seluruh dunia dan merupakan faktor risiko penyakit kardiovaskular yang paling umum, serta belum dikendalikan secara optimal di seluruh dunia. Ada beberapa faktor yang mempengaruhi hipertensi, salah satunya dari data demografi pasien. Tujuan penelitian ini adalah untuk mengetahui apakah Gambaran Karakteristik demografi pasien Hipertensi di Puskesmas Pesantren 1 Kota Kediri. Desain Penelitian deskriptif. Populasi penelitian ini adalah penderita hipertensi yang berobat di Unit Pelayanan Publik Puskesmas Pesantren 1 Kota Kediri, sampel penelitian berjumlah 118 responden sesuai dengan kriteria inklusi dengan menggunakan teknik purposive sampling. Variabel penelitian ini yaitu Demografi pasien berdasarkan derajat hipertensi. Pada penelitian ini menggunakan kuesioner dengan pengambilan data demografi, sedangkan derajat hipertensi menggunakan lembar observasi (pengukuran tekanan darah menggunakan tensimeter aneroid). Data dianalisis dengan Distribusi Frekuensi. Hasil Penelitian menunjukan sebagian besar responden berjenis kelamin perempuan yaitu sebanyak 89 orang (75%). Sebagian besar penderita hipertensi berusia 56-70 tahun sebanyak 82 orang dengan presentase sebesar (69%). Sebagian besar responden merupakan lulusan SMA sebanyak 98 orang (83%). Paling banyak responden pada penelitian ini merupakan ibu rumah tangga yaitu sebanyak 53 orang (45%). sebagian besar responden menderita hipertensi selama lebih dari 1 tahun sebanyak 90 orang (76%). Sebagian besar responden memilih dengan jawaban “Ya” sebanyak 96 orang (81%) untuk pertanyaan rutin minum obat dan rutin control. Kesimpulan Karakteristik demografi pada pasien hipertensi adalah sebagian besar perempuan, hipertensi terjadi dengan semakin bertambahnya usia, paling banyak pada responden dengan pendidikan SMA, dan dengan status ibu rumah tangga. Responden memiliki Hipertensi lebih dari 1 tahun paling banyak minum obat dan control pada faskes.
CHARACTERISTICS OF THE FORMATION OF THE RESTAURANT BUSINESS RESOURCE POTENTIAL IN TOURISM
Authors:   Pryazovskyi State Technical University, Sharko Marharyta , Nebaba Natalia ,   University of Customs and Finance, Kucher Marharyta ,   University of Customs and Finance, Vіshnikina Еlena ,   University of Customs and Finance
Published: January 2025

The restaurant business in tourism is one of the promising sectors of the economy, which is in
demand by the consumer market and is developing rapidly. The article compares the difficulties
and obstacles of introducing the restaurant business in the practice of foreign and regional tourism
in order to actualize the importance of the restaurant business is its interaction with tourist distances, as due to the flow of tourists increases the number of visitors. It is noted that the practical
tools for developing the resource potential of the service sector and the mechanisms for their management require constant improvement due to the rapid development of new technologies and the
intensification of competition in domestic and foreign markets. The experience of using the restaurant business in Ukraine and in countries with developed economies is analyzed. The need to take
into account both quantitative factors, such as the presence of competing restaurant businesses in
this location, their location, positioning, and qualitative, such as service differentiation, standards
and service technologies. The functional scheme of formation of resource potential is made, the feature of which is the organization of interaction of labor, competence, information, marketing and
technological components. A number of measures to modernize the resource potential, strategic
directions of their use by defining target installations, technological organization and service management, technical development of production, increasing competitive forces, modern forms of
service, monitoring customer satisfaction. Only hotel and restaurant establishments that have
effective management, first of all with an effective personnel management system, have been identified with the least losses. Information on staff training in European universities is given. Prospects
for the development of resource potential of the restaurant business in tourism are identified with
an emphasis on the use of IT technologies to increase the efficiency of resource potential, which provides an opportunity to improve the economic condition of restaurant businesses and identify priority areas for their development.
FEATURES OF MONITORING AND CONTROL OF THE EFFICIENCY OF THE EXTERNAL DEBT SECURITY MANAGEMENT OF THE STATE
Authors:   University of Customs and Finance, Razinkova Mіla
Published: January 2025

The directions for improving the monitoring and control of the effectiveness of the management of
the external debt security of the state have been determined. A set of measures to overcome the excessive
debt load has been singled out. The key problems of the development of the debt security system in
Ukraine have been identified. The importance of improving the security management mechanism of
Ukraine's foreign debt and its monitoring is emphasized. The subsystem of control and correction of
management decisions related to the management of external debt security is considered. The content of
the audit of the effectiveness of external state debt management has been determined. The "audit of the
effectiveness of external public debt management" should define a set of measures that can be implemented by the bodies of the central executive power and state financial control. It should be noted that
they are aimed at evaluating the effectiveness of the use of public loans, analyzing indicators of external
debt security and providing recommendations on improving the effectiveness of measures implemented
in the process of managing public debt and ensuring debt security. The algorithm for monitoring and
controlling the effectiveness of the management of guarantees of Ukraine's foreign debt is given.
BUSINESS CLIMATE AS A COMPLEX SYSTEM: MODERN DIMENSION AND RESEARCH VISION
Authors:   State University of Economics and Technologies, Potemkin Ihor , Kucherova Hanna ,   State University of Economics and Technologies
Published: January 2025

The results are summarized and a critical analysis of modern publications on research theory and practice of business climate development is carried out. The interpretation of the essence and
indicators characterizing the level (quality) of the business climate are summarized. Their subjectivity during construction is noted. It was found that quantitative indicators are increasingly supplemented by qualitative ones. Popular methods and approaches to the study of the business climate
and its components are noted. It was determined that the essence of the business climate has evolved
from the environment and conditions to a complex open system, which requires an appropriate level
and quality of monitoring
APPROACH TO ASSESSING THE LEVEL OF EXTERNAL DEBT SECURITY OF THE COUNTRY'S ECONOMY
Authors:   University of Customs and Finance, Razinkova Mіla
Published: January 2025

The approach to assessing the level of external debt security of the country's economy has been
improved. The main stages of assessing the security of the country's external debt are considered.
The principles on which the approach to assessing the country's debt security is based have been
established. The main methods of determining the optimal level of debt security are highlighted.
The components of the country's foreign debt security indicator system have been determined. A
partial analysis of external debt security of Ukraine was carried out. The debt burden in Ukraine
was analyzed through the lens of debt security indicators.
STRATEGIES FOR MANAGING THE COMPETITIVENESS OF UKRAINIAN BUSINESS STRUCTURES DURING THE WAR: THE ROLE OF CREATIVITY AND A COMPETENCY-BASED APPROACH
Authors:   Polissia National University, Dankevych Vitalii , Akhmetov Illias ,   Interregional Academy of Personnel Managemen, Zhelezniak Kateryna ,   National Transport Universit
Published: January 2025

The article explores strategies for managing the competitiveness of Ukrainian business structures in the context of war, particularly the role of creativity and a competency-based approach in
the survival and development of enterprises. It is established that creativity helps businesses adapt
their products and services to new conditions, open new markets, and attract investments, while the
competency-based approach contributes to resource optimization and the creation of long-term
strategic plans. It is substantiated that the destruction of infrastructure and limited access to markets and resources force businesses to implement innovative solutions to overcome these challenges.
Management competencies play a key role in this, allowing effective use of available resources and
fostering innovation in unstable conditions. The article analyzes the financial challenges and credit instability that create additional barriers to competitiveness.
Assessing sustainability in Puebla’s artisanal mezcal production: Insights from a composite indicator approach
Authors: Jaramillo-Villanueva José Luis , García-Benítez Erika
Published: January 2025

Objective: To assess the sustainability of the artisanal mezcal production system in the state of Puebla using composite indicators.
Methodology: A sample of 42 producers and their artisanal mezcal production facilities, known as palenques were selected using the snowball sampling method. Data were analyzed using variance analysis (ANOVA), multivariate analysis, and regression analysis. The SAFA framework (Sustainability Assessment of Food and Agriculture) guided the selection of 17 indicators grouped into the economic, social, and environmental dimensions, to derive a Composite Sustainability Index (CSI) of each mezcal production unit. Analysis was conducted for the entire sample and clusters generated through cluster analysis.
Result: The average CSI for artisanal mezcal production (and its standard deviation) was 0.45 (0.2033), comprising economic (0.596, 0.2366), social (0.398, 0.2161), and environmental (0.437, 0.196) dimensions. ANOVA revealed significant differences in CSI between groups. The highest value of the CSI was obtained in the group of high-scale producers (0.539), followed by medium-scale (0.427), and low scale producers (0.393).
Conclusions: Artisanal production systems demonstrate low sustainability levels, impacted by limited training, excessive agave usage, and minimal recycling practices for inputs.
Effects of nine monoculture agricultural systems on the fertility of an agricultural soil
Authors: Contreras-Ramos Juan , Díaz-Ruíz Ramón , Pérez-Ramírez Efraín
Published: January 2025

Objective: Determine and evaluate the effect of monoculture practices on the levels of seven soil fertility indicators
Design/Methodology/Approach: Nine monoculture agricultural systems were evaluated, in completely randomized blocks with four repetitions, during the 2012-2016 period. The plot was divided into 9 sections with four repetitions, giving a total of 36 plots where the 9 local systems studied were distributed until the conclusion of the experiment in 2020.The SAS VS 9 system was used for the statistical analysis of the results.
Results: The results indicated that the agricultural systems changed the chemical characteristics of the soil, highlighting four monoculture systems that included legumes (beans and fava beans) or the corn-bean (MF) and corn-fava bean (MH) combinations, which improved the organic matter (OM), total N (TN), and P content of the soil.
Study Limitations/Implications: The small plots that were contaminated by the tillage actions of continuous treatments, caused the conclusion of the experiment. Everything indicates that treatments can be reduced and the size of the plots increased.
Findings/Conclusions: The results indicated that the agricultural systems changed the chemical characteristics of the soil, highlighting four monoculture systems that included legumes (beans and fava beans) or the corn-bean (MF) and corn-fava bean (MH) combinations, which improved the organic matter (OM), total N (TN), and P content of the soil.
ANALISIS KAUSALITAS KOMUNIKASI TIDAK EFEKTIF DALAM PROYEK KONSTRUKSI DENGAN PENDEKATAN PLS-SEM
Authors: Dwi Saputro Meidra Yusuf
Published: January 2025

The analysis results indicate that the variables of material quality and construction work (X1) and project management and coordination (X2) have a significant impact on project effectiveness and satisfaction (Y), with path coefficients of 0.890 and 0.908, respectively. The R-Square value of 0.946 suggests that 94.6% of the variability in project effectiveness and satisfaction can be explained by these two variables. These findings highlight the importance of improving communication and coordination to achieve more effective and satisfying project outcomes.
ANALISIS PENGARUH TINGKAT KEPADATAN TANAH TERHADAP NILAI CBR
Authors: Zalukhu Pipen Deris Krisman , Siregar Chandra Afriade
Published: January 2025

This research aims to analyze the influence of soil density levels on the California Bearing Ratio (CBR) value, which is one of the important parameters in road construction planning and design. This research was carried out using soil samples from several locations with varying levels of density. CBR testing was carried out in soil conditions with varying densities to evaluate the relationship between soil density and the resulting CBR values. The data obtained is analyzed using statistical methods to determine significant patterns or trends. The research results show that there is a positive correlation between the level of soil density and the CBR value, where an increase in soil density is associated with an increase in the CBR value. These findings provide important insights for road construction planning and soil quality assessment, and can be used as a reference in decision making regarding the selection and maintenance of soil materials for construction projects. The conclusion of this research is that increasing soil density can increase the CBR value, which in turn can increase the stability and bearing capacity of the soil in construction applications.
EVALUASI EFISIENSI BIAYA DAN WAKTU ANTARA METODE KONVENSIONAL DAN PRACETAK DALAM PEKERJAAN DRAINASE U-DITCH DI RUAS JALAN NASIONAL JAMBI
Authors: Iskandar Bugie Rastapi , Kusmana Dody
Published: January 2025

Cost and time efficiency are two crucial aspects that influence the success of a construction project. Conventional methods are usually used because they are considered more flexible and easily adapted to field conditions. However, the precast method is increasingly in demand because it is claimed to be more efficient and faster in implementation. This research uses a case study approach by collecting primary and secondary data from planned work. Cost data is obtained from the detailed cost budget (RAB), while time data is taken from the project implementation schedule (time schedule). The analysis was carried out by comparing the total costs and time duration between conventional and precast methods using the 2018 Bina Marga Specifications.
The research results show that the precast method has advantages in time efficiency, with an average construction time that is shorter than conventional methods. However, in terms of costs, precast methods tend to be more expensive in the initial stages due to the high production costs of precast elements.
No, ecosystems do not have intrinsic value! A response to the Conguillío Statement
Authors: Newman Jonathan
Published: January 2025

1. The Conguillío Statement on the alleged values and responsibilities of ecologists claims that ecosystems are intrinsically valuable. This is a common claim by ecologists and the authors of the Conguillío Statement probably view it as uncontroversial. 2. Ecologists want to invoke the concept of intrinsic value because it seems to cover more of nature than instrumental value. However, ecologists of- ten use the term without recognizing that it can have significantly different meanings. In particular ecologists often invoke the conception of objective intrinsic value because it has more moral force than other conceptions. 3. The quintessential entities thought to have intrinsic value are individual human beings. There are two approaches to showing that ecosystems also have intrinsic value: monism and pluralism. Monism attempts to show that we can come to recognize the objective intrinsic value in ecosystems by showing that they have this value for reasons similar to those thought to engender it in individual humans. This position does not seem plausible. Pluralism attempts to account for the supposed intrinsic value of ecosystems for some other reason, and this account exists independently of our traditional human-centric ethics. The problem with the pluralist approach is that there is no principled way to reconcile the inevitable conflicts that will arise between human interests and the claimed intrinsic value of ecosystems. It seems that unless we are prepared to throw out our human ethics, pluralism will not work. 4. While there are active philosophical research programs aimed at resolving these conflicts, ecologists should probably treat the Conguillío Statement's claim of intrinsic value for ecosystems as an essentially contested concept- one that is inherently debatable and for which there is no single agreed-upon understanding or interpretation.
Anthraquinone pulping of kudzu (pueraria lobata)
Authors: HART PETER W. , BROGDON BRIAN N. , HSIEH JEFFERY S.
Published: January 2025

Kudzu was pulped underpulping conditions for kraft, kraft-AQ, soda, and soda-AQ processes. Anthraquinone addition increased the carbohydrate content of the brownstock pulp for all cooks. Anthraquinone addition lowered the brownstock kappa number while reducing the chemical demand. Brownstock from selected pulping sequences was tested to determine tear strength, tensile strength, burst strength, and freeness. The brownstock was also subjected to a CED bleaching sequence. For the bleached pulps, viscosity and average fiber length were determined.