bluuebunny/crossref_metadata_2025 huggingface dataset:
Wie schaffen wir den ganzen Weg in die Versorgung?
Authors:   inav, Gscheidle Sonja , Haring Malte ,   inav, Amelung Volker E. ,   inav
Published: December 2024

There is little doubt that the Innovation Fund has provided significant impetus for the further development of healthcare in recent years. There is also no doubt that there is still significant potential for further development in the way the results and findings are handled. The barriers and success factors for the translation of innovation fund concepts into standard care were therefore discussed at the MSD Health Forum 2024 on 6 November. This article is a commentary with a technical categorisation of the discussion by the authors.
Ärztebund fordert wirksame soziale Eigenbeteiligung
Authors:   Monitor Versorgungsforschung, Stegmaier Peter
Published: December 2024

'The economic use of limited resources must become part of the general public's consciousness.' This sentence could have come from Prof Josef Hecken (G-BA), who formulated something similar in his keynote speech at this year's Federal General Assembly of the Virchowbund, but comes from a position paper of the Ärztebund, which raises a voice for the registered medical profession in the run-up to the upcoming federal elections. Its title: 'Healthcare 2040: Key points for good, fair and public welfare-orientated healthcare'.
Analisis Struktur Perencanaan Gedung KantorDengan Software ETABS
Authors: Ayuddin Ayuddin
Published: December 2024

Perencanaan gedung Kantor di Kota Makassar meningkat seiring dengan kebutuhan akan ruang kerja yang aman, efisien, dan ekonomis. Struktur bangunan yang direncanakan harus mampu menahan berbagai beban, seperti beban mati, hidup, gempa, dan angin, sebagaimana diatur dalam standar nasional. Penelitian ini bertujuan untuk menganalisis perilaku struktur gedung perkantoran di Kota Makassar menggunakan software ETABS V.18. Analisis dilakukan berdasarkan beban kerja seperti beban mati (DL), beban mati tambahan (SIDL), beban hidup (LL), beban hidup atap (Roof Live), beban hujan (Rain Load), beban angin (WL), dan beban gempa (Eq L). Perancangan mengikuti standar SNI 1727:2020, SNI 1726:2019 dan SNI 2847:2019. Hasil analisis menunjukkan gaya aksial sebesar 205,2169 kN, gaya geser 16,7184 kN, momen lentur 22,5899 kN•m², dan torsi 3,5136 kN. Perencanaan Gedung Kantor di Kota Makassar dalam hal ini dinyatakan aman karena analisis yang dilakukan dengan menggunakan aplikasi ETABS memenuhi persyaratan perencanaan struktur.
Pastoral culture in the economic space of the Kolyma region of Yakutia based on historical and ethnographic observations in the early twentieth century.
Authors: Grigorev Stepan Alekseevich
Published: December 2024

The main idea of the presented publication is to highlight the processes of spreading pastoral practices as a separate element of traditional Yakut culture in the Kolyma region of Yakutia in the first half of the twentieth century. The object of the study is the data of historical and ethnographic studies conducted in the 1950s by the staff of the Institute of Language, Literature and History of the Siberian Branch of the USSR Academy of Sciences. The materials they have collected are an important source on the ethnocultural history of the region, requiring a modern interpretation of the scientific data they have obtained. The subject of the study of this article is the reflection in these sources of the processes of expansion of pastoral practices to the northeast of Yakutia in the first half of the twentieth century and their adaptation to local natural, cultural and socio-economic conditions, which had not previously been considered in such a perspective and did not become the object of a separate study. The methodological basis of the article was the historical method of analyzing archival data and scientific literature related to the research topic. The use of historical-comparative, historical-systemic, problem-chronological and statistical methods allowed the most complete analysis of the studied processes. It has been revealed that studies conducted in the north-east of Yakutia in the middle of the twentieth century make it possible to more clearly understand the history and culture of its inhabitants, as well as identify the features of their daily life, traditions and customs. The works of scientists of that time are undoubtedly a valuable source of information about life and social relations in Kolyma. At the same time, the processes affecting the interaction of northern cultures in the conditions of adaptation and the formation of new economic models still remain insufficiently studied. Based on the collected materials, the main results of the ongoing integration economic processes in the north-east of Yakutia in the first half of the twentieth century were identified and it was noted that the modernization processes that took place during this period had an even more significant impact on the ethnic composition and economic activities of the indigenous population, accelerating the transition of local aboriginal ethnic groups to new, previously unusual for this region.
Observações introdutórias sobre a natureza da autoconsciência em Kant
Authors: Vicente José João Neves Barbosa , Ferreira Souto Pinto Ana Kelly
Published: December 2024

O objetivo deste pequeno estudo é refletir de modo introdutório sobre a natureza da autoconsciência na filosofia transcendental de Kant. Nesse sentido, o caminho que será seguido ao longo desta reflexão, não busca uma compreensão definitiva sobre o tema proposto, mas sim um entendimento preliminar sobre a natureza da autoconsciência como compreendida por Kant e em quais condições essa autoconsciência se dá a conhecer. Além disso, ainda de forma preliminar, este pequeno estudo busca evidenciar, na medida do possível, a contribuição do filósofo alemão para a discussão moderna da subjetividade.
conceito de vontade:
Authors: Casado Marcos Saiande
Published: December 2024

No Discurso sobre a desigualdade Rousseau caracteriza o homem como um ser no qual “a vontade fala” mesmo quando a “natureza se cala” (1971a, p. 218). Este trabalho tem por objetivo, portanto, buscar compreender o conceito de vontade em Rousseau a partir de uma pesquisa de natureza qualitativa do tipo histórica e documental. Para tanto, dividimos o trabalho em duas partes, no qual buscamos apresentar ao leitor um quadro sintético da história do conceito de vontade, no primeiro momento, e, em seguida, tentaremos apresenstar uma compreensão de como Rousseau apresenta essa faculdade do espírito humano, considerando o seu pensamento antropológico. Nos esforçamos para demonstrar como a teoria da vontade se constituiu, no decorrer do tempo, e como esse corpo teórico despeja suas águas na modernidade, com especial atenção no pensamento filosófico Rousseau. A vontade representa um conceito articulador e pode ser compreendido como uma importante chave de interpretação do labiríntico pensamento de Rousseau que abrange desde a sua filosofia da educação até sua teoria política.
que a educação deve fazer diante da crise?
Authors: Mantovani Harley Juliano
Published: December 2024

Neste artigo buscamos avaliar e defender a importância da educação para a luta contra a crise que ameaça a sociedade. Trabalhamos essa crise como uma manifestação da cumplicidade entre o capitalismo e o fascismo, entendidos como movimentos contrários à socialização. Portanto, na luta contra a crise, a educação deve se apresentar como uma atividade responsável pela socialização, que começa pela recuperação do indivíduo, cuja doença é um alimento para a barbárie. E mostramos que esse enfraquecimento do indivíduo pode ser vencido por meio da recordação e da valorização da Terra. Defendemos que, para realizar a sua tarefa social e política, a educação precisa ser um exercício autônomo e crítico e, por esse motivo, a base teórica da nossa reflexão foi a obra Educação e emancipação, de Theodor Adorno
conceito de tolerância em meio ao relativismo moral
Authors: De Medeiros Emerson
Published: December 2024

A pesquisa tem por objetivo discutir o conceito de tolerância em meio a concepção ética sobre relativismo moral face a compreensão das normas e o alcance da tentativa da sua absolutização. O problema é compreendermos a relação entre relativismo moral e absolutização das normas a partir do conceito de tolerância, haja vista o entremeio das perspectivas culturais. A hipótese que se levanta é aquela de que o relativismo dificulta a possibilidade de diálogo entre os interlocutores, vindo a evidenciar, assim, o conceito de indiferença. Concluímos ressaltando a necessidade de uma hermenêutica da alteridade.
Perfil epidemiológico das gestantes portadoras de HIV entre 2013 e 2023 na região do lago de Tucuruí-PA
Authors: Trindade Isabel Cristina Ferraz da , Baia Karolyne de Carvalho , Sousa Ana Zélia Silva Fernandes de
Published: December 2024

Objetivo: Identificar o número de casos e taxa de detecção de gestantes portadoras de HIV em um município no sudeste do Pará, bem como o perfil desse público e o momento do diagnóstico. Métodos: Estudo epidemiológico descritivo, de abordagem quantitativa, com dados referentes aos casos de HIV em gestantes no município de Tucuruí-PA, registrados no Sistema de Informação de Agravos de Notificação entre 2013 a 2023. Resultados: Foi observado um aumento gradativo da incidência de HIV em gestantes no município, foram registrados 74 novos casos confirmados durante a década, a faixa etária predominante foi de 20 a 29 anos 58,9%, 85,14% se declarou de cor parda, 31,08% tinham o ensino médio completo, 50% das gestantes já possuíam conhecimento da patologia antes da gravidez, 86,49% realizaram o acompanhamento do pré-natal, e o tipo de parto predominante nos anos de análises foram o de via cesárea eletiva, com 27,3%. Conclusão: O aumento de casos ressalta a urgência em rever as estratégias de combate à infecção pelo HIV, além de melhorar as políticas públicas que visam a prevenção da infecção, com o objetivo de reduzir as complicações da doença no binômio materno-fetal.
The compression behavior of riverine fine-grained soils treated with organic matter
Authors:   Department of Agriculture Machines and Equipment, College of Agriculture, University of Basrah, Basrah, Iraq, Alfaris Murtadha A. , Alrubaye Aymen A. ,   Marine Geology Department, Marine Science Center, University of Basrah, Basrah, Iraq, Muttashar Wisam R. ,   Marine Geology Department, Marine Science Center, University of Basrah, Basrah, Iraq, Lo Edward L. ,   School of Earth, Environment and Sustainability, Georgia Southern University, Statesboro, Georgia, USA
Published: December 2024

This study aimed to experimentally examine the impact of organic matter content on some of compression characteristics of fine-grained riverine soils from southern Iraq. A total of eight soil samples were collected from two various riverine areas, presenting natural levee and basin (fine-grained) soils, in the eastern Basrah region. The research explored the correlation between organic matter content and compression characteristics, highlighting changes in unit weight, permeability, and compressibility. Findings showed that higher organic matter content led to lower density, increased permeability, and higher compressibility. The research offers valuable contributions to understanding the relationship between organic matter and soil compressibility, particularly relevant for sustainable soil management in the lower Mesopotamia region of southern Iraq, where those areas are vulnerable to climate change..
Silver Nanoparticles using catechin as capping agent and their effects as antifouling agent against biofilm forming bacteria
Authors: Goddi Sravan Kumar
Published: December 2024

Biosynthesis of nanoparticles comprising of silver was performed by reducing with solution of silver nitrate (AgNO3) and using catechin as a capping agent. The familiar methods used to characterize these nanoparticles were Ultra Violet visible spectroscopy, Transmission electron microscopy (TEM), Scanning electron microscopy-EDS, XRD and Fourier transform infrared (FTIR) spectroscopy. The antifouling activity of the silver nanoparticles was assessed by MIC on isolated biofilm forming bacteria from Visakhapatnam coast. Out of 10 plant extracts studied, the catechin a secondary metabolite from Acaia catechu showed best results and was selected for further studies in preparation of antifouling agent.
Effect of classical music vs. rock music on gene expression patterns in Oryza sativa
Authors: Barbaruah R. Baibhav , Wankhar Ibandari , Thakur Arpana , Guite Thanggoumang , Aguan K.
Published: December 2024

This study delves into the fascinating connection between music and plant behaviour, specifically focusing on how classical and rock music affect Oryza sativa. Using careful experiments, we investigate how these different musical styles influence gene expression and growth in these plants. In special music chambers, we exposed Oryza sativa to classical and rock music separately. This unique setup allowed us to explore how the plants react to different musical sounds and rhythms. Our analysis of gene expression in Oryza sativa exposed to both types of music yielded intriguing results. For instance, the gene rbcS, which is crucial for photosynthesis, responded differently. Classical music led to a small increase in its expression after 20 days, while rock music caused a distinct change that set it apart from both the control group and the classical music group.

This suggests that the two types of music can affect how well Oryza sativa carries out photosynthesis. Looking deeper, we found that the XTH8 gene, linked to cell wall remodelling, responded more to classical music. This echoes findings from similar genes in other plants, hinting at a universal connection between sound vibrations and plant structure. On the other hand, rock music triggered a different pattern, emphasizing how the two genres can create unique effects in plants. Lastly, the AGPL gene, which is tied to starch production, reacted more to classical music on day 20. This could mean that classical music might help these plants store more energy. In contrast, rock music led to a different response, again highlighting the distinct impact of the genre.
To determine the accuracy of heart-type fatty acid-binding protein (H-FABP) as a new and early cardiac biomarker in the early diagnosis of acute myocardial infarction (AMI)
Authors: Pachpute Preeti , Pachpute Samir , Badade Z.G.
Published: December 2024

Heart diseases including acute myocardial infarction (AMI), are the second leading cause of death all over the world. Therefore, early detection and treatment of AMI have become the most critical and effective life-saving steps. H-FABP is a soluble cytoplasmic protein with a low molecular weight of 14.9 kDa fatty acid carrier protein abundantly present in the cardiac tissue. After myocardial ischemic damage, H-FABP can be detected in blood within 1 hour of onset of chest pain, with peak values at 3-6 hrs. Cardiac troponins, CK-MB, used routinely in the diagnosis of AMI, are not elevated in the initial hours (super acute phase) of AMI, precluding their usefulness in the early diagnosis. Our aim is to determine the accuracy of heart-type fatty acid-binding protein (H-FABP) as a new and early cardiac biomarker in the early diagnosis of acute myocardial infarction.

55 patients with acute chest pain were enrolled. CK-MB, Troponin I and H-FABP and ECG were done on admission (0-4 h) and 8-12 h after the onset of chest pain. Cardio detect combi kit was used to qualitatively determine H- FABP and troponin I for early diagnosis of acute myocardial infarction and results were obtained within 15 minutes. All the results of ECG, CK MB, Troponin I and H-FABP for every patient were obtained and compared for final diagnosis as per standard criteria. At 0-4 h, after the onset of AMI, the diagnostic sensitivity of H-FABP (93%) was higher than that of troponin I (cTnI) (38%) and CK-MB (13%). It is concluded that H-FABP is a reliable and excellent biochemical marker for early diagnosis of AMI.
In vitro propagation, synthetic seeds production and clonal fidelity assessment of regenerants of endangered herb Rheum emodi
Authors: Upadhyay Sweta , Gupta Sanjay , Kumar Vijay , Uniyal Anjali
Published: December 2024

Rheum emodi, pharmaceutically important medicinal plant is mainly found in northern Himalayas. This herb has therapeutic properties such as anticancerous, antimicrobial, behaves like astringent and improves gastro related problems. All these factors contribute in immense decline of this herb in its natural habitat as it is excessively used by local people for medicinal as well as common eating purpose. We have optimized the efficient in vitro plant regeneration system through the callus from leaf explant and synthetic seed production for this herb. The culture medium used was Murashige and Skoog (MS) basal medium with the different concentration of phytohormones. Highest percentage of callus formation (84.44±0.27%) was observed in MS medium perforated with 2,4-D in combination with BAP. The maximum number of shoots (3.67±0.27) per explant was attained on MS medium with BAP (35.5 μM) and Kn (11.61 μM). For synthetic seed production, encapsulation was done in 3% of sodium alginate+ 50mM CaCl2. The highest survival and germination frequency of somatic embryos without storage period were observed as 78.9±1.33 and 66.7±0.58 respectively.

The survival and germination rate of encapsulated embryos at 4 ͦC were significantly reduced as compared to non-stored somatic embryos. For ascertaining the clonal fidelity, 20 ISSR markers and 15 RAPD markers were assayed and employed to validate the true-to-type regenerants of Rheum emodi. Out of 15 RAPD and 20 ISSR markers, 7 markers and 15 markers produced distinct, clear and scorable bands. All the markers produced the monomorphic bands and no variation was detected among the micropropagated plants. Thus, the analysis of ISSR and RAPD patterns revealed that the bands were shared by both the in vitro raised plants and parent clump confirming the genetic stability. These markers proved to be a model tool for routine analysis of clonal fidelity of micropropagated plants prior to commercialization. These protocols could be beneficial in the future for rapid and mass multiplication or propagation of Rheum emodi and dissemination of synthetic or artificial seeds.
Phytochemical profiling of all parts of Spilanthes paniculata (Toothache plant) for therapeutic implications
Authors: Satapathy Soumya Subhashree , Bhuyan Ruchi , Sahoo Ambika , Sahoo Chiranjibi , Bhuyan Sanat Kumar
Published: December 2024

The phytoconstituents profiling of the essential oil extracted from the leaves, flowers, stems and roots of Spilanthes paniculata; a synonym of Acmella paniculata (family: Asteraceae) growing along the eastern region of India was studied through gas chromatography along with Mass Spectra (GC-MS). The Gas Chromatography with mass spectra analysis of S. paniculata essential oil from different parts reveals the identification of 73 phytocompounds. These compounds were subdivided into six classes: Monoterpene Hydrocarbon, Oxygenated Monoterpenes, Diterpenoids, Sesquiterpene Hydrocarbons, Oxygenated Sesquiterpenes and Others.

The major compounds identified include spathulenol (6.90 – 19.08%), germacrene D (4.62 – 10.77%), (E)-caryophyllene (1.75 – 10.98%) and δ- amorphene (0.44 – 15.32%). This comparative study of the essential oil of the plant was investigated through GC-MS analysis providing insight into the presence of several bioactive compounds with various therapeutic values and can be used in pharmaceutical industries, particularly as an important source of natural anesthesia.
Host-guest interaction of Nileblue with cyclodextrins: A spectroscopic and computational approach
Authors: Manivannan C. , Vedichi N. , Vijayakumar P. , Muralikrishanan M. , Anbazhagan V.
Published: December 2024

This study focuses on encapsulating the biologically active compound Nileblue (NB) within α, β and γ-cyclodextrins (CDs). CDs are widely used by pharmaceutical companies for drug delivery applications. Various spectroscopic techniques including time-resolved, steady-state and UV-visible spectroscopy, were employed to determine the extent of NB encapsulation within the cavities of CDs. Fluorescence lifetime measurements confirmed the formation of ground-state complexes, indicating static quenching.

The binding interaction between NB and β-CD was further investigated by calculating thermodynamic parameters. The mode of inclusion complex formation was elucidated using NMR data. DFT calculations were performed to support these findings, demonstrating that NB fits comfortably inside the β-CD cavity. The in vitro Brine Shrimp toxicity (BST) assay was used to evaluate the toxicity of NB and its inclusion complex. Our results suggest that NB can be safely encapsulated in β-CD for applications in living systems without compromising its beneficial properties.
Formulation and evaluation of a novel controlled release meloxicam-loaded organized
Authors: Anusha Chintha , Naik B Nageswara , Kumar M Pradeep , Srikanth G
Published: December 2024

Based on pluronic lecithin, P.L.O. gels were established in the present research as a topical carrier for the regulated delivery of Meloxicam. Every P.L.O. gel composition was discovered to have pH values between 5.57 and 5.62, which falls within the pH range that skin. The spreadability of organogels from F1 to F4 (25.09-23.41 g.cm/s) decreased due to lecithin. The F5 through F8 saw an increase in the percentage of pluronic (22.45-21.44 g.cm/s). The range of the viscosity of gel formulations was determined to be between 1825 and 3732 cps (F1-F4) and 2136-3663 cps (F5–F8). Eight different organized formulations' gel transition temperatures were measured among such ranges of 32.3oC and 33.2oC (F1-F4) and 27.4 - 33.6oC (F5 – F8). The formulations of F2 and F3 have been chosen for kinetic tests and stability studies because they had the most significant percentage of drug content and the highest drug release during eight hours, and all physical parameters were found to be within acceptable limits. It was discovered that the order of release of drug through different formulations was F1 – F8. A drug is released from the improved formulation F2 regulated according to zero order rate kinetics. The optimized Meloxicam organogel in-vivo anti-inflammatory effectiveness against a commonly used commercial product (ZCLO-CM gel) was satisfactory but also significant.
Formulation and characterization of controlled-release floating tablets of pregabalin
Authors: Divya Yepuru , Ramesh Yerikala , Penabaka Venugopalaiah , Chandra Yadala Prapurna
Published: December 2024

Pharmaceutical research has increasingly focused on developing oral drug delivery systems with controlled-release capabilities to address challenges such as short gastric residence time and variable gastric emptying. This study designed and evaluated floating pregabalin tablets with controlled-release properties by experimenting with various blends of HPMC K4M and HPMC K100LV. The tablets are engineered to remain buoyant in the stomach, thereby enhancing gastric retention time and improving oral bioavailability. Using Design Expert Software, nine formulations (X1-X9) were developed and optimized. Among these, the X7 formulation demonstrated promising results: it exhibited a low initial swelling index but formed a substantial gel layer by the eighth hour, maintaining matrix integrity for approximately 6-7 hours. The optimized X7 formulation achieved a controlled drug release rate of 95.06% and maintained buoyancy for up to 12 hours, showcasing its potential for effective and sustained drug delivery. This research contributes to the advancement of oral controlled-release systems, offering a viable approach to improving pregabalin's therapeutic efficacy through enhanced gastric retention and consistent release rates.
FROM FLOWERS TO FOLIAGE: A STUDY OF PLANT AESTHETICS
Authors: J Nirjharnee Nandeha
Published: December 2024

From Flowers to Foliage: A Study of Plant Aesthetics explores the multifaceted aspects of plant aesthetics, focusing on the interplay between flowers and foliage in enhancing landscapes, gardens, and indoor environments.
Personality Prediction System Using Machine Learning
Authors:   Department of Information Technology, Greater Noida Institute of Technology,(Engg.Institute), Greater Noida, INDIA, Raj Rishav , Herenj Vivek ,   Department of Information Technology, Greater Noida Institute of Technology,(Engg.Institute), Greater Noida, INDIA, Roy Vikash ,   Department of Information Technology, Greater Noida Institute of Technology,(Engg.Institute), Greater Noida, INDIA, Mishra ManojKumar ,   Department of Information Technology, Greater Noida Institute of Technology,(Engg.Institute), Greater Noida, INDIA
Published: December 2024

A personality prediction system leverages advanced data analysis techniques to assess and predict an individual's personality traits based on diverse inputs such as text, voice, behaviour, and biometric data. These systems typically utilize psychological models, like the Big Five Personality Traits or Myers-Briggs Type Indicator (MBTI), to derive insights from patterns in the data. Text-based prediction systems use natural language processing (NLP) to analyze written or spoken communication, while voice- based systems analyze vocal attributes such as tone and pitch. Behavioral and biometric data further enhance the accuracy of these systems, with applications spanning areas like human- computer interaction, marketing, recruitment, and mental health. With the aid of artificial intelligence (AI) and machine learning, these systems are increasingly capable of delivering personalized insights, offering the potential for a wide range of applications from customer engagement to psychological well-being. This abstract outline the core mechanisms, applications, and future directions of personality prediction systems, highlighting their potential to transform how individuals are understood and interacted with in both digital and real-world contexts.
THE INTEGRATION OF ARTIFICIAL INTELLIGENCE (AI) INTO EDUCATION SYSTEMS AND ITS IMPACT ON THE GOVERNANCE OF HIGHER EDUCATION INSTITUTIONS
Authors: Mariam Gadmi , Adil Loulid , Zakaria Bendarkawi
Published: December 2024

Objective: The research aims to explore the integration of Artificial Intelligence (AI) within educational systems and analyze its impact on the governance of higher education institutions (HEIs), particularly focusing on decision-making, data protection, and administrative efficiency.
 
Theoretical Framework: The article presents key theories on the transformative role of AI in educational governance, particularly focusing on how AI-driven data analysis and automation enhance decision-making and administrative efficiency. It also addresses theories related to ethical governance, emphasizing data protection and equitable access within higher education institutions.
 
Method: The research methodology in this article is based on a qualitative approach, combining a review of existing literature with case studies of AI implementation in educational contexts. This approach provides in-depth insights into the effects of AI on governance within higher education institutions.
 
Results and Discussion: The research findings highlight that AI integration in higher education governance improves decision-making and operational efficiency through data-driven insights and automation. However, it also reveals challenges, particularly in data protection, ethical concerns, and shifting power dynamics within institutions. The study emphasizes the need for responsible and transparent AI governance to ensure balanced benefits across stakeholders.
 
Research Implications: This research underscores the need for higher education institutions to adopt AI responsibly, balancing its potential to enhance governance and decision-making with rigorous ethical standards, especially in data privacy and equity. It calls on policymakers and administrators to develop frameworks that ensure AI-driven processes remain transparent, inclusive, and aligned with educational values.
 
Originality/Value: The originality of this research lies in its focus on how AI specifically transforms governance in higher education institutions, going beyond general applications of AI in education to address ethical, operational, and decision-making challenges unique to institutional governance. It provides a nuanced perspective on balancing innovation with responsibility in an academic setting.
Monitoring Cleaning and Disinfection in a Respiratory Syndrome Unit Amid the SARS-CoV-2 Pandemic
Authors: Rigonato Elaine Mazuqui , Gonçalves Viviane Perbeline , Angeloni Natália Liberato Norberto , Maronesi Maria Luisa Pereira , Rocha Daniel de Macedo , Valle Lomberto Ariel Romeu , Lima Helder de Pádua , Santos Junior Aires Garcia dos
Published: December 2024

Introduction: This study aimed to monitor the cleaning and disinfection processes of surfaces in a respiratory syndrome unit. Design: A cross-sectional study conducted in a respiratory syndrome unit specialized in the treatment of COVID-19. High-touch surfaces were monitored using the following methods: Adenosine Triphosphate (ATP), Colony-Forming Units (CFU), and Visual Inspection. Monitoring lasted for 30 days, with samples collected both before and after the team performed the cleaning and disinfection procedures. Results: The results showed that most surfaces had microbial counts above 2.5 CFU/cm² both before and after cleaning, thus failing the test. Only one surface showed significant differences in relation to the adenosine triphosphate method: the patients' chair (P=0.014). Regarding visual inspection, it was observed that defects in the structure of the monitored surfaces impacted non-compliance rates. Additionally, a lack of standardization in the use of cleaning products was noted. Implications: The study highlighted the need for improvements in the process to meet the values proposed in the literature, ensuring a safe environment in all healthcare services. It also underscored the complexity of patients with respiratory syndrome.
Синтез и строение ферроценилметиллейцина и комплекса меди(II) на его основе
Authors: Ермакова Е.А. , Голубева Ю.А. , Смирнова К.С. , Клюшова Л.С. , Савиных П.Е. , Ельцов И.В. , Лидер Е.В.
Published: December 2024

Впервые получен феррроценилметиллейцин (HL) и комплекс меди(II) на его основе [Cu(MeOH)LCl]n·nH2O (1). Соединения охарактеризованы с помощью элементного, рентгенофазового анализа и ИК-спектроскопии. Строение лиганда подтверждено методом ЯМР-спектроскопии, а структура комплекса [Cu(MeOH)LCl]n (1а) установлена методом рентгеноструктурного анализа. Полученный комплекс является полимерной цепочкой за счет хелатно-мостиковой функции тетрадентатного L–, который координируется атомами кислорода карбоксилатной группы и атомом азота аминогруппы. Исследована стабильность комплекса 1 в метаноле и водном растворе в течение 48 часов. Цитотоксичность лиганда HL и комплекса меди(II) изучена на опухолевой клеточной линии аденокарциномы молочной железы (MCF7) и неопухолевых фибробластах легкого (MRC5). Показано, что комплекс обладает цитостатической активностью в диапазоне концентраций 5‑50 мкМ на обеих клеточных линиях.
Cs2Mo5O16 and Cs2Mo7O22: crystallization, structural and thermal properties
Authors: Grigorieva V.D. , Bondareva A.F. , Artemyeva M.A. , Bazanova E.D. , Yelisseyev A.P. , Ryadun A.A. , Kuznetsov A.B.
Published: December 2024

Needle-like Cs2Mo7O22 (7*1*1 mm3) and plated Cs2Mo5O16 (4*3*2 mm3) crystals were obtained by spontaneous crystallization method from Cs2Mo5O16 + 2%Cs2O and Cs2Mo7O22 + 2%Cs2O melts. Peritectic nature of Cs2Mo5O16 and Cs2Mo7O22 compounds was confirmed by differential scanning calorimetry and thermogravimetric analysis. Cs2Mo5O16 and Cs2Mo7O22 crystal structures were constructed based on X-ray diffraction data. Unit cell parameters of Cs2Mo5O16 and Cs2Mo7O22 crystal samples were measured in 0-450 °C temperature range and thermal expansion vectors were calculated. Photoluminescence was registered on both Cs2Mo5O16 and Cs2Mo7O22 samples at 80 K.
Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis
Authors: Almeida Fernando Pedro Silva , Castelli Mauro , Côrte-Real Nadine
Published: December 2024

Accurate cooling consumption forecasts are crucial for optimizing energy management, storage, and overall efficiency in interconnected HVAC systems. Weather conditions, building characteristics, and operational parameters significantly impact prediction accuracy. Since meteorological conditions highly influence cooling demand, leveraging external air data and user metrics offers a promising approach to estimate a building's hourly cooling energy usage. This study addresses the gap in existing research by comprehensively analyzing the performance of various machine learning algorithms, including ensemble learning and deep learning models, to improve prediction accuracy. By leveraging weather conditions, building characteristics, and operational parameters, we aim to predict cooling consumption across multiple systems (Cooling Ceiling, Ventilation, Free Cooling, and Total Cooling). Data from four weather stations, encompassing diverse features relevant to the European Central Bank (ECB) building's cooling consumption in Frankfurt, were employed. Our methodology includes the use of K-Nearest Neighbor, Decision Tree, Support Vector Regression, Linear Regression, Random Forest, Gradient Boosting, XGBoost, Adaboost, Long-Short-Term Memory, and Gated Recurrent Unit. Models. The results consistently demonstrate the superiority of the Random Forest model across different weather stations and feature sets. This model achieved a Mean Squared Error of approximately 0.002-0.003, Mean Absolute Error of around 0.031-0.034, and Root Mean Squared Error of about 0.052-0.069. These findings contribute to improved building cooling load management, promoting insights into optimal energy utilization and sustainable building practices. Doi: 10.28991/ESJ-2024-08-06-01 Full Text: PDF
BSHPC: Improve Big Data Privacy Based on Blockchain and High-Performance Computing (HPC)
Authors: Alsumayt Albandari
Published: December 2024

The vast expansion and sharp rise in data across many facets of society have made it increasingly difficult to manage big data effectively. Using traditional methods to ensure the security and privacy of users’ data is no longer sufficient. In keeping with this worry, massive data storage is still crucial. High-Performance Computing (HPC) is examined to determine the need for handling blockchain issues and protecting large data in a decentralized manner that strives for resilience. This study proposes the Big Data Storage High-Performance Computing (BSHPC) approach, which addresses big data considerations in storage management to maintain accuracy and enables the usage of blockchain. The best storage management is the primary benefit of BSHPC, as only critical data is kept on the blockchain, and other data may be kept in an off-chain database using the interplanetary file system (IPFS). Furthermore, the network's node authentication in this strategy depends on trustworthy nodes. On HPC computers, data authenticity and provenance tracking would be guaranteed, and managing large data across blockchains would be more secure. The proposed method is simulated using the Python-MPI version, and the results confirm the effectiveness of the proposed method based on performance and transactions. Moreover, the proposed method is evaluated with another study in the literature on MEC-based sharing, and it proves its effectiveness. Doi: 10.28991/ESJ-2024-08-06-011 Full Text: PDF
Enterprise Innovation Decision-Making Towards Green and Sustainability from the Perspective of Cognitive Innovation
Authors: Tran Thi Anh Phuong , Hou Xinshuo
Published: December 2024

Although numerous current studies on green consumption and sustainable enterprise development have been carried out, the majority of them examined the issues from customers' viewpoints. This study aims to explore the mechanism that shapes firm innovation decision-making in the context of green and sustainable development from the perspective of business awareness under the impact of customer expectations. The study conducted an online survey (via Google Forms) with the participation of 301 employees from different enterprises in the Mekong Delta, Vietnam. To restrict the common method biases, Cronbach’s alpha was checked by using SPSS to ensure the reliability of the initial scales. Based on a deductive approach and testing hypotheses through evaluating the measurement model and structural model using SmartPLS software, the research results determined the mechanism of forming firm innovation decisions in this study via the impact of customer expectations as a stimulating factor leading to awareness of innovation. Customer expectations were positively associated with perceived marketing innovation. Perceived marketing innovation was not only positively associated with perceived process innovation but also related to firm innovation. Similarly, perceived process innovation was significantly positively associated with firm innovation. In alignment with research findings, significant practical and academic contributions were also proposed. Doi: 10.28991/ESJ-2024-08-06-013 Full Text: PDF
Breast Cancer Prediction Using Transfer Learning-Based Classification Model
Authors: Armoogum Sheeba , Motean Kezhilen , Dewi Deshinta Arrova , Kurniawan Tri Basuki , Kijsomporn Jureerat
Published: December 2024

Breast cancer is currently the most prevalent type of cancer in women, with a growing number of fatalities worldwide. Different imaging methods like mammography, computed tomography, Magnetic Resonance Imaging, ultrasound, and biopsies assist in detecting breast cancer. Recent developments in deep learning have revolutionized breast cancer pathology by facilitating accurate image categorization. This study introduces a novel approach to enhance detection and classification using the Convolutional Neural Network Deep Learning method and Transfer Learning to create a high-speed, accurate image classification model. The model is trained on pre-processed data subjected to thorough analysis and augmentation to ensure the quality of inputs. The experimental results from the Breast Ultrasound Image dataset indicate that our model, with a 0.1 test size ratio, outperforms its counterparts. It achieved an accuracy of 90.12%, with a loss of 0.2641, validation accuracy of 90.15%, and validation loss of 0.31, evidencing its superior classification capability. This research introduces an innovative approach to the automated diagnosis of breast cancer. By combining CNN, Transfer Learning, and data augmentation, we have developed a desktop application that expedites the classification process and significantly improves accuracy. This advancement represents a key development in machine learning applications for breast cancer prognostics and diagnostics. Doi: 10.28991/ESJ-2024-08-06-014 Full Text: PDF
SHAP-Instance Weighted and Anchor Explainable AI: Enhancing XGBoost for Financial Fraud Detection
Authors: Thanathamathee Putthiporn , Sawangarreerak Siriporn , Chantamunee Siripinyo , Mohd Nizam Dinna Nina
Published: December 2024

This research aims to enhance financial fraud detection by integrating SHAP-Instance Weighting and Anchor Explainable AI with XGBoost, addressing challenges of class imbalance and model interpretability. The study extends SHAP values beyond feature importance to instance weighting, assigning higher weights to more influential instances. This focuses model learning on critical samples. It combines this with Anchor Explainable AI to generate interpretable if-then rules explaining model decisions. The approach is applied to a dataset of financial statements from the listed companies on the Stock Exchange of Thailand. The method significantly improves fraud detection performance, achieving perfect recall for fraudulent instances and substantial gains in accuracy while maintaining high precision. It effectively differentiates between non-fraudulent, fraudulent, and grey area cases. The generated rules provide transparent insights into model decisions, offering nuanced guidance for risk management and compliance. This research introduces instance weighting based on SHAP values as a novel concept in financial fraud detection. By simultaneously addressing class imbalance and interpretability, the integrated approach outperforms traditional methods and sets a new standard in the field. It provides a robust, explainable solution that reduces false positives and increases trust in fraud detection models. Doi: 10.28991/ESJ-2024-08-06-016 Full Text: PDF
Enhancing Efficiency: The Impact of Cloud Computing Adoption on Small and Medium Enterprises Performance
Authors: Abdalla Reem A. , Ramayah T. , Sankar Jayendira P. , Hidaytalla Lamya A. , John Jeena Ann
Published: December 2024

This study investigated the factors influencing cloud computing adoption (CCA) and its impact on organizational performance (OP) among SMEs employees in Bahrain. The study used an online survey approach, which includes Likert scale questions to assess attitudes and views, multiple-choice questions for categorical data, and open-ended questions to obtain qualitative insights. The target audience comprises 300-350 small and medium-sized enterprises (SMEs) in Bahrain currently utilizing cloud computing technology, and 314 useful responses were received. A mixed two-step sampling technique was initiated by convenience sampling. Then, snowball sampling was used to guarantee the inclusion of various SME categories, thus ensuring representativeness. The measurements are derived from validated instruments used in academic research, with the questionnaire incorporating elements adapted from the studies conducted. Participants' responses to the Likert scale are analyzed using SmartPLS 4 to understand their perspectives. Full collinearity was used to assess common method bias, and VIF values below 3.3 indicated no bias. The measuring model's validity and reliability were evaluated by loadings, AVE, CR, and discriminant validity tests (HTMT), which ensured all constructs fulfilled thresholds. Path coefficients, standard errors, t-values, and p-values were used to evaluate the structural model using 10,000-sample bootstrapping. The research findings indicate that both Perceived Ease of Use (PEU) and Perceived Usefulness (PU) have a substantial impact on Cloud Computing Adoption (CCA), which in turn improves the performance of Bahraini SMEs. PEU and PU directly impact CCA while indirectly improving Organizational Performance (OP) by increasing cloud computing usage. These findings emphasize the importance of user-friendly and beneficial cloud solutions in increasing cloud computing adoption and enhancing business outcomes for SMEs. Doi: 10.28991/ESJ-2024-08-06-017 Full Text: PDF
Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift
Authors: Kuklin Vladimir Zh. , Ivanov Naur Z. , Muranov Alexander N. , Alexandrov Islam A. , Linskaya Elena Yu.
Published: December 2024

Modern complexes providing biometric identification face several problems, such as information drift caused by the variability of facial patterns, voice timbres, and current states. Information drift can characteristically exhibit short-term (subjects' states have changed) or long-term changes. Simultaneously, the developed trusted systems should not have the properties of explainable AI to prevent the possibility of intruders, based on understanding the system behavior to perform actions to hack the system. This paper's objective is to improve the reliability of biometric authentication by increasing the informativity of the classified images by transforming the correlations between the information features using the Bayes-Minkowski measure. The paper puts forth the proposition of employing neuroimmune models that are founded upon the principles of both acquired and innate immunity, with an analogy to the natural immune system. In addition, the authors propose to analyze correlations between information features instead of the features themselves. To reduce the influence of data drift, the authors suggest using adaptive learning with a teacher and reinforcement, which helps to work even with small and unrepresentative data samples. The proposed algorithm demonstrates a high degree of accuracy, as evidenced by its equal error rate (EER), and is particularly well-suited to feature recognition tasks due to its adaptive model. The test results have shown that the proposed solutions increase the level of security of personal data and improve the reliability of biometric authentication against fraudulent actions of intruders, including approaches based on adversarial algorithms. The integration of the immune structure into the authentication system enables the algorithm to remain stable even when presented with a limited number of samples. The proposed algorithm mitigates the impact of data drift on the authentication outcome. Doi: 10.28991/ESJ-2024-08-06-018 Full Text: PDF
Fiber Optic Breakthrough: Terahertz Detection of Illegal Drugs
Authors: Noor Khalid Sifulla , Bani Most. Momtahina , Islam Md. Safiul , Ferdous A.H.M. Iftekharul , Hossen Md. Jakir , Al-Mamun Abdullah , Badhon Nasir Uddin
Published: December 2024

The article presents an illegal drug detector that utilizes photonic crystal fiber (PCF). The fiber structure of the H-PCF comprises a dodecagonal core and circular air gaps in cladding areas. We have analyzed the designed terahertz (THz) frequency range utilizing the Finite Element Method (FEM) and the COMSOL Multiphysics application. The revised design has a high sensitivity in detecting amphetamine (n = 1.518) and cocaine (n = 1.5022) at a frequency of 3 THz, via detection rates of 99.43% and 99.20%, correspondingly. Furthermore, the suggested fiber, which operates at a frequency of 3 THz, has a relatively tiny confinement loss of 4.93×10-08 dB/m and 6.16×10-09 dB/m and a minimal effective material loss of construction of 0.0032 cm-1. In conclusion, it may be stated that drug misuse not only leads to immediate repercussions but also has severe and enduring impacts on human health, potentially resulting in fatality. Hence, it is imperative to accurately and effectively detect illicit substances. H-PCF architecture we offered is well-suited to detect illegal drugs. Doi: 10.28991/ESJ-2024-08-06-020 Full Text: PDF