bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Student Well-being: Child-Friendly School Management in Conflict-Affected Areas
Authors: Aisyah Eny Nur
Published: October 2024

The relevance of this study lies in the urgent need to provide a safe, inclusive, and supportive educational environment for children in areas affected by social and ethnic conflict. This study highlights inclusive policies, psychosocial support, and community engagement in creating a supportive learning environment. This study used a qualitative method with a case study approach involving in-depth interviews, participant observation, and document analysis as data collection techniques. Data were collected through in-depth interviews, participant observation, and document analysis. The results showed that inclusive policies, psychosocial support through counselling and extracurricular activities, and teacher training in inclusive teaching methods effectively created a safe and supportive learning environment for students. In addition, empowering local communities and cultivating positive behaviours were essential in supporting student well-being. The implications of this study suggest that a holistic approach to school management can improve the quality of education and the well-being of children in conflict-prone areas and provide practical recommendations for other schools facing similar situations.
Strategic Management of Hybrid Counseling: A Novel Approach to Addressing Quarter-Life Crisis Among University Students in Indonesia
Authors: Walid Muhammad , Najah Aninda Tri Safinatun , Ula Naila Kholisotul , Turrohmah Nadya Salsabilla
Published: October 2024

This study aims to analyze the Hibryd Counseling Service (Islamic counselling) strategy to effectively prevent Quarter Life Crisis and prepare students who become agents of change for a better direction in college. Using interview, observation, and documentation methods, this study seeks to obtain data on the phenomenon of quarter-life crisis and the new approach. The data sources include critical stakeholders in the guidance and counselling laboratory. Data analysis was carried out through data transcription, coding, and categorization. The study results indicate that Islamic counselling is valuable in guiding individuals to overcome quarter-life crises by aligning psychological and spiritual aspects. Islamic counselling significantly contributes to helping individuals overcome quarter-life crises with a holistic approach involving spiritual, psychological, and social factors. Integrating Islamic values in counselling forms a solid framework to support young individuals facing life challenges. These findings provide important insights related to the effectiveness of the Islamic counselling approach in overcoming quarter-life crises through the integration of spiritual, psychological, and social values.
Leadership and Conflict Management: Strategies for Managing Conflict in Higher Education Institutions
Authors: Haya Haya
Published: October 2024

This study analyzes conflict management strategies through adaptive leadership models to improve educational institutional performance. This study uses a qualitative case study approach. Data collection was carried out through interviews, observations, and documentation. Data analysis used a thematic analysis approach, coding and identifying main themes related to leadership strategies and conflict management. The study results indicate that transparent and open leadership, developing clear conflict policies, creating a collaborative culture, and utilizing a proactive approach are the main strategies that can reduce the frequency and impact of conflict. These findings emphasize the importance of adapting leadership strategies based on local contexts and organizational culture to improve the effectiveness of conflict management. The implications of this study include providing new insights for leaders of higher education institutions to develop more relevant and contextual conflict management policies and practices. This study also suggests the need for further research to expand the scope of research by considering variations in gender, age, and wider survey methods to obtain a more comprehensive picture. Thus, the results of this study can contribute to developing more effective conflict management policies in higher education environments.
Enhancing Competitiveness in Vocational Education: The Role of Strategic Marketing in Schools
Authors: Zainul Mohammad
Published: October 2024

This study aims to analyze marketing strategies to improve vocational high school competitiveness in Indonesia. This study uses a qualitative approach with a case study type. Data collection techniques are carried out through interviews, observations, and documentation. Data analysis is done through data reduction, presentation, and conclusion. The study results indicate that the school's competitive advantage lies in its special expertise in automotive technology, strong partnerships with leading companies, and modern facilities. The school's proactive approach to updating its curriculum to suit industry needs, effective branding and digital media strategies, and partnerships with industry have contributed to its success in producing employable graduates. The implications of this study suggest that vocational schools can improve their competitiveness by adopting a strategic marketing approach that focuses on building strong industry partnerships, developing relevant curricula, and utilizing digital media to promote their vocational programs.
Vaguening Revenge: Beckett, Marston, and All That Fall
Authors: Critchley James
Published: October 2024

At the beginning of Samuel Beckett’s radio play, All That Fall, Mrs Rooney famously forgets her lines: she cannot quite remember the precise phrase that she strains to recall from John Ford’s The Lover’s Melancholy. However, what has been overlooked is Beckett’s own forgetfulness as to the origins of this intertextual reference. Repeatedly, he attributes this line (and others from his wider stock of notes) to one of Ford’s close contemporaries: John Marston. This article recovers Beckett’s many mistaken allusions to Marston, and begins to think through the ways in which his curious recurrence in Beckett’s thinking at the time of All That Fall’s composition might betray a particular interest in the revenge genre (in which Marston is so influential). It posits that, in writing All That Fall, Beckett works to ‘vaguen’ many of the formal tropes that recur over the course of revenge drama’s long literary history. It then goes on to explore the possibility that this play for voices might engage specifically with this generic tradition in order to stage a critique of religion.
Could the Norms for International Radiation Protection Be a Model for Pharmaceuticals?
Authors: Serwer Daniel
Published: October 2024

There is no international norm-setting mechanism for pharmaceutical registration. By contrast, the International Commission on Radiological Protection (ICRP) has been recommending widely respected norms for X-rays and radioactive isotopes in medical and other uses for almost a century. It does so with no legal authority on the basis of collaborative deliberations by a self-selected group that includes experts concerned about both health effects and the benefits of ionizing radiation. Such an “epistemic group” has advantages over the more usual adversarial processes. It can evaluate the scientific evidence more objectively, it can adapt more rapidly to technological progress, and it can judge benefits as well as risks. Forming such normative epistemic groups for at least some of the rapidly growing number of new pharmaceuticals would avoid duplication and contribute to harmonizing pharmaceutical registration worldwide.
Information System for Payment of Dues and Savings at SMA Negeri 1 Cibungbulang School Based on WEB
Authors: Kamilah Nurul , Munajir Kayum , Fajri Hersanto
Published: October 2024

SMA Negeri 1 Cibungbulang, in recording Student Dues and Savings, still uses a spreadsheet application, where transaction recording use spreadsheet application has identified four cases that were complained of by the school administration: first, when recording payment transaction data, there was still an error in data input; secondly, when created the recapitulation report is still less effective and efficient; third when entering the school year the school Administration needs to re-create spreadsheet pages to separate old and new data; fourth transaction data is still prone to be scattered due to manual storage. Because of this, we need a better alternative to managing student finances so that it can be more effective and efficient. This study aims to analyze, design, and build a WEB-based Information System for Student Dues and Savings at SMA Negeri 1 Cibungbulang. The results obtained can improve the performance of the school administration in managing school finances. The system development method used is the waterfall model, which consists of four steps: Requirement Analysis and Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing. The results of this study obtained an information system that can manage information consisting of student data, class data, monthly dues data, savings, and recapitulation reports with automatically generate recapitulation reports also present a user-friendly user interface design so that errors in payment input and calculating the number of months in one semester do not occur. This information system is aimed at School Treasurer Staff, School Treasurer, and the Principal.
Visualization of Guimaras State University Community Extension Services: Basis for Expansion
Authors: J. Forca Adrian , Karlitasari Lita , Putra Gustian Rama
Published: October 2024

The Study Visualization of Guimaras State University Community Extension Services: Basis for Expansion was conducted to visualize the dataset of the GSU Extension Services office to serve as basis for the unit to expand its scope towards the number of communities to be adapted, number of training to be conducted, number of communities adapted vs number of communities that are not adapted and the number of programs implemented in every community cluster. To visualize such, the researcher made use of Tableau Public in which, a descriptive component was used in the study to determine the effectiveness of the visualized information. Visualization was conducted and respondents of the study agreed that the visualized information is effective that can serve as the basis for the GSU Extension Services to expand its present services so that more communities to be adapted and uplift their quality of life.
Analysis of Heartbeat Signals to Detect Sleep Disorders Using Artificial Neural Network Methods
Authors: Aripin Moch , Hardhienata Soewarto , Negara Teguh Puja
Published: October 2024

A human sleep disorder detection system has been designed using an AD8232 Electrocardiogram sensor module integrated with a microcontroller and internet connection through ESP 32. The heartbeat signals from the sensor are analyzed using Artificial Neural Network (ANN) methods to determine normal conditions, Obstructive Sleep Apnea (OSA), or Central Sleep Apnea (CSA). The sensor's accuracy was measured over 10 measurements, resulting in 96.85%. Testing with 30 training data samples achieved an accuracy of 93.33%, and testing with 20 training data samples achieved an accuracy of 80%. The system displays output values through the Internet of Things (IoT) with an average computation time of around 7.6 ms.
Development of Interactive Multimedia Based Mathematics Learning Media for Class XI SMA
Authors: Prasetyo Hanif , Herfina Herfina , Putra Agung Prajuhana
Published: October 2024

Mathematics is a science that studies quantity, structure, space and change. This science has abstract and universal study objects which play an important role in discipline and the development of human thinking power. The mathematical mindset is deductive, starting from general objects to important conclusions. Multimedia learning methods are an alternative to help students understand material concretely. The use of multimedia can make learning more interesting with graphics, animation, video and sound. Teachers must use approaches, methods and techniques that actively involve students in learning in order to achieve good academic achievement. The use of learning media can create new interests and motivate students. Developing mathematics learning media using Adobe Animate to create animations is an interactive learning media that can help teachers broaden students' horizons and increase student interest and motivation. Interactive multimedia-based learning can increase motivation, learning independence and be a solution to make mathematics learning interesting and easy to understand
SENTIMENT ANALYSIS OF ELECTRIC CAR PRODUCT TRENDS IN INDONESIA USING BM25 AND K-NEAREST NEIGHBOR
Authors: Alfaro Ariel - , Mardhiyah Iffatul -
Published: October 2024

The global and Indonesian shift towards electric vehicles (EVs) is driven by efforts to reduce emissions and promote sustainable energy. Social media, especially Twitter, functions as an important measuring tool regarding public sentiment towards electric vehicles in Indonesia, so that it can influence policy making. This research uses the BM25 and K-Nearest Neighbor (KNN) methods to analyze sentiment, which aims to improve EV adoption strategies. Conducted in 2023, this research applies data mining, specifically Knowledge Discovery and Data Mining (KDD), analyzing primary and secondary data descriptively and quantitatively starting with data collection from Twitter, followed by data crawling and initial text processing. Next, labeling, term frequency (TF) and inverse document frequency (IDF) calculations were carried out using the BM25 and KNN methods, with an Evaluation and Validation Diagram that visualized the process. The findings show that negative sentiment dominates at 48% (4800 data), followed by 34% (3400 data) neutral sentiment and 18% (1800 data) positive sentiment. The balanced distribution of sentiment highlights the diverse perceptions of society. BM25 and KNN pre-processing methods effectively reduce overfitting and underfitting, especially in negative and neutral sentiments. Accuracy testing without BM25 resulted in 58.6% to 60.25%, while integrating BM25 with KNN increased accuracy by 12.5% to 71% to 72.75%. Understanding sentiment provides a basis for decision making and policy development, as well as providing insight into public perceptions of electric vehicles in Indonesia. Implications include leveraging positive sentiment for marketing, adjusting strategies, refining pricing, addressing infrastructure and reliability issues, and collaborating with governments to increase adoption of electric vehicles in society.
Fake News Detection in the 2024 Indonesian General Election Using Bidirectional Long Short-Term Memory (BI-LSTM) Algorithm
Authors: Arkaan Shabiq Ghazi , Atmadja Aldy Rialdy , Firdaus Muhammad Deden
Published: October 2024

The advancement of information technology provides convenience, but it also brings about problems. One area affected by this is the election process in Indonesia, which has seen a rise in fake news often used to discredit political opponents. Fake news misleads the public into believing incorrect information related to the election. To address this issue, a system is needed to detect fake news in the 2024 election to help the public differentiate between true and false information. This system is developed using an artificial intelligence and deep learning approach trained to do text classification on fake news detection. The training data consists of 1999 entries obtained from the Global Fact-Check Database from turnbackhoax.id, detik.com, and cnnindonesia.com. The machine learning model is built using the Bidirectional Long Short-Term Memory (BI-LSTM) algorithm, which is suitable for processing text data. This study compares two types of feature representations: TF-IDF and contextual embeddings with the IndoBERT model. The study results in the best model for text classification with an accuracy of 92% and a loss of 42.92%, achieved by the model using TF-IDF feature representation. The implementation of this system aims to enhance the integrity of the election process by minimizing the spread of misinformation. Future work will focus on refining the model and expanding the dataset to include more diverse sources for improved accuracy and robustness.
Pemanfaatan Tepung Biji Durian dan Tepung Ikan Duo Dalam Pembuatan Roti
Authors: Humaira Huma , Ansar  , Faisal Elvyrah
Published: October 2024

Pangan lokal di Indonesia perlu dibudidayakan melalui pemanfaatan pangan. Seperti melakukan pemanfaatan limbah biji durian dan ikan duo yang diolah menjadi tepung.Tujuan kegiatan ini untuk mengetahui daya terima produk roti dengan pemanfaatan tepung biji durian dan tepung ikan duo berdasarkan parameter warna, aroma, tekstur dan rasa. Jenis kegiatan yang digunakan adalah deskriptif kuantitatif. Panelis dalam kegiatan ini adalah panelis tidak terlatih berjumlah 40 mahasiswa aktif Jurusan Gizi Poltekkes Palu. Hasil penelitian untuk uji daya terima berdasarkan hedonik panelis menunjukkan dua formula yang diterima panelis berdasarkan parameter adalah formula 1 (persentase tekstur 70,0%  dan persentase rasa 65%) formula 2 (persentase warna 52,5% dan persentase rasa 62,5%). Sedangkan hasil tingkat perbedaan berdasarkan hedonik panelis menunjukkan ketiga formula dari produk roti ini ialah dalam parameter warna dan rasa pada formula 1 dan 2 tidak memiliki perbedaan statistik (sama tapi tidak bermakna), dalam parameter aroma pada ketiga formula tidak memiliki perbedaan yang signifikan atau bermakna (nilai ρ ≥0,05). Sedangkan dalam parameter tekstur menunjukkan formula 2 dan 3 memiliki perbedaan statistik (sama tapi tidak bermakna). Kesimpulan kegiatan ini adalah bahwa produk roti penambahan tepung biji durian dan tepung ikan duo diterima namun hanya dari segi warna, tekstur dan rasa. Untuk kegiatan selanjutnya produk roti perlu dikembangkan agar dapat diterima dan dipromosikan di pasaran sebagai olahan menu yang membudidayakan pangan lokal.
Development and application of a quadruplex real-time PCR method for Torque teno sus virus 1, Porcine circovirus type 2, pseudorabies virus, and porcine parvovirus
Authors: Quan Fushi , Geng Yulu , Wu Yang , Jiang Faming , Li Xuemei , Yu Changqing
Published: October 2024

Introduction

In clinical diagnosis of porcine diseases, co-infection with multiple viruses often leads to similar clinical symptoms. Postweaning multisystemic wasting syndrome (PMWS) can be caused by infections with TTSuV or PCV2, while PCV2, PRV, and PPV can cause respiratory and reproductive disorders in pigs. The overlapping clinical and pathological features of these infections necessitate the development of a rapid and specific method for differentiating and detecting these four DNA viruses.

Methods

In this study, four pairs of primers and TaqMan probes were designed targeting the conserved sequence of TTSuV, the Rep gene of PCV2, the gE gene of PRV, and the VP2 gene of PPV. After optimizing reaction conditions, including annealing temperature, primer concentration, and probe concentration, a quadruplex real-time PCR method was developed.

Results

This method can specifically detect TTSuV1, PCV2, PRV, and PPV simultaneously, with no cross-reactivity with ASFV, CSFV, PRRSV, PEDV, PSV, and TGEV. The minimum detection limit for each virus was 10 copies/μl, and the inter-assay and intra-assay coefficients of variation ranged from 0.33% to 1.43%. Subsequently, 150 clinical samples were tested to evaluate the practical applicability of this method. The positive rates for TTSuV1, PCV2, PRV, and PPV were 8.6% (13/150), 10.67% (16/150), 14% (21/150), and 11.33% (17/150), respectively.

Discussion

The results indicate that the established quadruplex real-time PCR method can assist in the accurate and rapid diagnosis of TTSuV1, PCV2, PRV, and PPV in clinical settings, providing robust support for the prevention and control of these infections.
AI-enabled workflow for automated classification and analysis of feto-placental Doppler images
Authors: Aguado Ainhoa M. , Jimenez-Perez Guillermo , Chowdhury Devyani , Prats-Valero Josa , Sánchez-Martínez Sergio , Hoodbhoy Zahra , Mohsin Shazia , Castellani Roberta , Testa Lea , Crispi Fàtima , Bijnens Bart , Hasan Babar , Bernardino Gabriel
Published: October 2024

Introduction

Extraction of Doppler-based measurements from feto-placental Doppler images is crucial in identifying vulnerable new-borns prenatally. However, this process is time-consuming, operator dependent, and prone to errors.

Methods

To address this, our study introduces an artificial intelligence (AI) enabled workflow for automating feto-placental Doppler measurements from four sites (i.e., Umbilical Artery (UA), Middle Cerebral Artery (MCA), Aortic Isthmus (AoI) and Left Ventricular Inflow and Outflow (LVIO)), involving classification and waveform delineation tasks. Derived from data from a low- and middle-income country, our approach's versatility was tested and validated using a dataset from a high-income country, showcasing its potential for standardized and accurate analysis across varied healthcare settings.

Results

The classification of Doppler views was approached through three distinct blocks: (i) a Doppler velocity amplitude-based model with an accuracy of 94%, (ii) two Convolutional Neural Networks (CNN) with accuracies of 89.2% and 67.3%, and (iii) Doppler view- and dataset-dependent confidence models to detect misclassifications with an accuracy higher than 85%. The extraction of Doppler indices utilized Doppler-view dependent CNNs coupled with post-processing techniques. Results yielded a mean absolute percentage error of 6.1 ± 4.9% (n = 682), 1.8 ± 1.5% (n = 1,480), 4.7 ± 4.0% (n = 717), 3.5 ± 3.1% (n = 1,318) for the magnitude location of the systolic peak in LVIO, UA, AoI and MCA views, respectively.

Conclusions

The developed models proved to be highly accurate in classifying Doppler views and extracting essential measurements from Doppler images. The integration of this AI-enabled workflow holds significant promise in reducing the manual workload and enhancing the efficiency of feto-placental Doppler image analysis, even for non-trained readers.
Identification of subsurface archaeology at Mutaredh, United Arab Emirates, using ground penetrating radar
Authors: Santos-Assunção Sonia , Ali Moamen , Ali Mohammed Y. , Francis Diana , Sheehan Peter , Omar Waleed Awad , Iqbal Muhammad Asim
Published: October 2024

The United Arab Emirates holds great historical importance, as evidenced by many archaeological sites, such as the Jebel Hafit Tombs and the Hili Archeological Park in Al Ain. At the western edge of Mutaredh Oasis, a major new archaeological site was discovered in 2023 during a construction project. Several important archeological features have been documented, including an earthen mosque and boundary walls, Iron Age irrigation systems, and a circular stone tomb dating to the Bronze Age. However, the eastern edge of the Mutaredh site has remained unexplored to date. Ground Penetrating Radar (GPR) has been proven to be a successful method in mapping archaeological remains. Accordingly, a high-resolution GPR survey was carried out to identify the continuity of the unearthed archeological elements and delineate new unexplored features. A comprehensive 3D model of buried archaeological features was constructed using the acquired high-resolution GPR data in the eastern part of the Mutaredh site. Several selected anomalies have been observed, similar to the uncovered features in the western part of the Mutaredh site and structures documented in other nearby archaeological sites. The geometry and extension of these anomalies have enabled the possible identification of a further two Bronze Age circular tombs, as well as the delineation of a system of water channels (falaj), and irrigation networks with tree pits from the Iron Age. Moreover, walls probably belonging to the Late Islamic Age are identified. These findings suggest that Mutaredh has been a site of intensive human activity from the Bronze Age through to the Late Islamic period. Given the density of identified anomalies, further significant features are anticipated to lie buried in the immediate surrounding areas, promising continued insights into the area’s rich archaeological heritage. The findings of this study may guide archaeologists to specific locations and assist in selecting the most appropriate excavation techniques for the verification stage.
Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis
Authors: Yadgarov Mikhail Ya , Landoni Giovanni , Berikashvili Levan B. , Polyakov Petr A. , Kadantseva Kristina K. , Smirnova Anastasia V. , Kuznetsov Ivan V. , Shemetova Maria M. , Yakovlev Alexey A. , Likhvantsev Valery V.
Published: October 2024

Background

With machine learning (ML) carving a niche in diverse medical disciplines, its role in sepsis prediction, a condition where the ‘golden hour’ is critical, is of paramount interest. This study assesses the factors influencing the efficacy of ML models in sepsis prediction, aiming to optimize their use in clinical practice.

Methods

We searched Medline, PubMed, Google Scholar, and CENTRAL for studies published from inception to October 2023. We focused on studies predicting sepsis in real-time settings in adult patients in any hospital settings without language limits. The primary outcome was area under the curve (AUC) of the receiver operating characteristic. This meta-analysis was conducted according to PRISMA-NMA guidelines and Cochrane Handbook recommendations. A Network Meta-Analysis using the CINeMA approach compared ML models against traditional scoring systems, with meta-regression identifying factors affecting model quality.

Results

From 3,953 studies, 73 articles encompassing 457,932 septic patients and 256 models were analyzed. The pooled AUC for ML models was 0.825 and it significantly outperformed traditional scoring systems. Neural Network and Decision Tree models demonstrated the highest AUC metrics. Significant factors influencing AUC included ML model type, dataset type, and prediction window.

Conclusion

This study establishes the superiority of ML models, especially Neural Network and Decision Tree types, in sepsis prediction. It highlights the importance of model type and dataset characteristics for prediction accuracy, emphasizing the necessity for standardized reporting and validation in ML healthcare applications. These findings call for broader clinical implementation to evaluate the effectiveness of these models in diverse patient groups.

Systematic review registration

https://inplasy.com/inplasy-2023-12-0062/, identifier, INPLASY2023120062.
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning
Authors: Gómez-Valadés Alba , Martínez-Tomás Rafael , García-Herranz Sara , Bjørnerud Atle , Rincón Mariano
Published: October 2024

Machine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information. Nevertheless, the black-box nature of ML algorithms and the heterogeneity within the data may result in varied interpretations across distinct studies. To avoid this, in this proposal, we present the design of a decision support system that integrates a machine learning model represented using the Semantic Web Rule Language (SWRL) in an ontology with specialized knowledge in neuropsychological tests, the NIO ontology. The system’s ability to detect MCI subjects was evaluated on a database of 520 neuropsychological assessments conducted in Spanish and compared with other well-established ML methods. Using the F2 coefficient to minimize false negatives, results indicate that the system performs similarly to other well-established ML methods (F2TE2 = 0.830, only below bagging, F2BAG = 0.832) while exhibiting other significant attributes such as explanation capability and data standardization to a common framework thanks to the ontological part. On the other hand, the system’s versatility and ease of use were demonstrated with three additional use cases: evaluation of new cases even if the acquisition stage is incomplete (the case records have missing values), incorporation of a new database into the integrated system, and use of the ontology capabilities to relate different domains. This makes it a useful tool to support physicians and neuropsychologists in population-based screenings for early detection of MCI.
Human milk oligosaccharide profiles remain unaffected by maternal pre-pregnancy body mass index in an observational study
Authors: Astono Julie , Huang Yu-Ping , Sundekilde Ulrik Kræmer , Barile Daniela
Published: October 2024

Human milk oligosaccharides (HMOs) are important carbohydrates in human milk that infants cannot digest, acting as prebiotics linked to infant health. The risk of childhood obesity increases with maternal obesity, potentially mediated through the gut microbiota affected by the available HMOs. Studies on whether maternal obesity affects HMO abundance, yield conflicting results. This study aimed to investigate the HMO profile and its association with maternal obesity measured by pre-pregnancy body mass index (BMI) and infant anthropometrics. The results were discussed in the context of existing literature. 90 human milk samples were collected at 3 months postpartum from mothers in three BMI-groups: 32 normal weight (BMI: 18.5–24.99 kg/m2), 34 overweight (BMI: 25–30 kg/m2), and 24 obese (BMI > 30 kg/m2). The samples were analyzed using nano liquid chromatography chip quadrupole time-of-flight mass spectrometry yielding 51 HMO structures and isomers. Their peak areas were integrated and normalized to determine relative abundances. Univariate and multivariate analysis showed associations between relative HMO abundance and donors’ secretor status and specific infant anthropometric variables, but not with maternal pre-pregnancy BMI. This study does not support the hypothesis that maternal overweight influences the HMO profile and highlights the importance of reporting results despite absence of significant correlations.
The Enhanced Games: a timely injection for the International Olympic Committee
Authors: Ekdahl David , Krieger Jörg
Published: October 2024

The Enhanced Games, a privately funded sporting megaevent aspiring to rival the Olympic Games, have garnered significant media attention since its public inception in 2023. This attention has primarily been driven by the Enhanced Games’ embrace of performance-enhancing drugs. Lost in the public fixation on the event’s green-lit drug-use, however, is the fact that the Enhanced Games distance themselves from current Olympic standards in numerous ways beyond drug-policies alone. More precisely, the Enhanced Games promote themselves as a more economically and ecologically sustainable alternative to the Olympics, as well as a megaevent that aims to put athletes and their safety front-and-center. With an eye towards current Olympic standards, we suggest that closer examination of the Enhanced Games offers novel perspectives on the future of the Olympics and global sporting events more broadly.
Non-Invasive Detection of Nitrogen Deficiency in Cannabis sativa Using Hand-Held Raman Spectroscopy
Authors: Antoszewski Graham , Guenther James F. , Roberts John K. , Adler Mickal , Dalle Molle Michael , Kaczmar Nicholas S. , Miller William B. , Mattson Neil S. , Grab Heather
Published: October 2024

Proper crop management requires rapid detection methods for abiotic and biotic stresses to ensure plant health and yield. Hemp (Cannabis sativa L.) is an emerging economically and environmentally sustainable crop capable of yielding high biomass. Nitrogen deficiency significantly reduces hemp plant growth, affecting photosynthetic capacity and ultimately decreasing yield. When symptoms of nitrogen deficiency are visible to humans, there is often already lost yield. A real-time, non-destructive detection method, such as Raman spectroscopy, is therefore critical to identify nitrogen deficiency in living hemp plant tissue for fast, precise crop remediation. A two-part experiment was conducted to investigate portable Raman spectroscopy as a viable hemp nitrogen deficiency detection method and to compare the technique’s predictive ability against a handheld SPAD (chlorophyll index) meter. Raman spectra and SPAD readings were used to train separate nitrogen deficiency discrimination models. Raman scans displayed characteristic spectral markers indicative of nitrogen deficiency corresponding to vibrational modes of carotenoids, essential pigments for photosynthesis. The Raman-based model consistently predicted nitrogen deficiency in hemp prior to the onset of visible stress symptoms across both experiments, while SPAD only differentiated nitrogen deficiency in the second experiment when the stress was more pronounced. Our findings add to the repertoire of plant stresses that hand-held Raman spectroscopy can detect by demonstrating the ability to provide assessments of nitrogen deficiency. This method can be implemented at the point of cultivation, allowing for timely interventions and efficient resource use.
Simultaneous Optimization of Exergy and Economy and Environment (3E) for a Multistage Nested LNG Power Generation System
Authors: Chen Zhenzhen , Yang Xinglin , Zou Junhu , Lei Qiang , Yan Bin
Published: October 2024

The study introduces an innovative three-stage nested power generation system that enables the cascading utilization of LNG cold energy. It makes the most of wasted energy by using ship jacket cooling water (JCW) and exhaust gas (EG) as heat sources, a trans-critical carbon dioxide cycle as internal circulation, and utilizing the pressure exergy of LNG. We choose two azeotrope mixing fluids that match the requirements and create four cases for the outer and middle cycle working fluids in the three-stage nested system. To discover the ideal system performance from the perspectives of exergy (E), economy (E), and environment (E), four cases were subjected to multi-objective optimization using the multi-objective particle swarm optimization technique (MOPSO). Finally, the optimal solution was found by applying the TOPSIS decision-making method. Through comparative analysis, the optimal system is selected among the four optimization results. R170 (22.66%) and R1150 (77.34%) are used as the outer circulating working medium, while R170 (90.86%) and R1270 (9.14%) are utilized as the inter-cycle working fluid. The net output work is 575.75 kW, the optimal exergy efficiency is 46.09%, the optimal electricity production cost is $0.04009 per kWh, the carbon dioxide emissions can be reduced by 36,910 tons, and the payback period is 2.548 years. After optimization, a more energy-efficient and environmentally friendly power generation system is obtained.
Mirror-Image RNA: A Right-Handed Z-Form RNA and Its Ligand Complex
Authors: Song Yi , Wang Shiyu , Xu Yan
Published: October 2024

Until now, Z-form RNAs were believed to only adopt a left-handed double-helix structure. In this study, we describe the first observation of a right-handed Z-form RNA in NMR solution formed by L-nucleic acid RNA and present the first resolution of structure of the complex between a right-handed Z-form RNA and a curaxin ligand. These results provide a platform for the design of topology specific to Z-form-targeting compounds and are valuable for the development of new potent anticancer drugs.
Development of the tourism sector of Primorsky Krai in 2023: results of the implementation of the region’s development program and directions for the region’s development
Authors:   RUDN University Higher School of Management, Moscow, Ivanova P. D.
Published: October 2024

This article examines the state program of the Primorsky Territory "Development of tourism in the Primorsky Territor for 2020–2027", planned indicators of tourist flow and ongoing events. The strategic development of event tourism in the Primorsky Territory is proposed, which will contribute to both the popularization of cultural national heritage and the growth of tourist flows from Asian countries of the Far East.
Opera “Ruslan and Lyudmila” by M. Glinka: pages of history and modern times
Authors:   South Ural State Humanitarian and Pedagogical University, Markova T.N. , Bilchenko E.V. ,   Russian Christian Humanitarian Academy named after F.M. Dostoevsky
Published: October 2024

The article, based on the works of musicologists, literary critics and music critics, examines the history of Glinka's fateful acquaintance with Pushkin, the birth of the opera Ruslan and Lyudmila, the reasons for the failure of its first production and modern directorial decisions of the play. The magical national poem-tale by A. Pushkin “Ruslan and Lyudmila”, despite the attacks of critics, enjoyed great success among contemporaries. Pushkin’s plot attracted Glinka because it opened up a wide scope for his melodic talent. Glinka listened to Pushkin's wishes and created a vivid performance with dance episodes, original stage solutions, lyrical line and emphasized originality of Russian images of Pushkin’s poem. At the same time, Glinka rejected Pushkin's irony, which permeates the poem, and composed a magical work dominated by music. We have a Pushkin plot in the absence of the Pushkin word. Ruslan and Lyudmila have been arguing about the opera for almost 200 years, there are several editions of the music.
“Kamarinskaya” by M. Glinka and Concerto for Gusli by V. Bibergan: the life of traditions
Authors:   St. Petersburg State Conservatory named after N.A. Rimsky-Korsakov Russia,, Minyakov I.D. , Bilchenko E.V. ,   Russian Christian Humanitarian Academy named after F.M. Dostoevsky
Published: October 2024

An important quality or Russian culture is the significant role of traditions. This also applies to academic music. The influence of one composition on another can be established using structural analysis. This article explores the stylistic connection between M.I. Glinka’s “Kamarinskaya” and V.D. Bibergan’s Concerto for gusli and Russian folk orchestra. Despite the obvious differences, compositional connections between the works have been identified. These include: reliance on folklore, variation as the leading type of material development, textural features and timbre dramaturgy. The role of repetitions and modulations is also considered.
What should be the specifi city of the works of quantum artists?
Authors:   academician of EAEN (Hannover, Germany), academician of IAMAQ (Milan, Italy), honorary doctor of art history, professor, expert of the Eurasian Art Union, expert of the “Russian Gallery — XXI Century” magazine, Ginzburg G.N.
Published: October 2024

In this article, the author relies on the provisions of the Quantum Art Manifesto, created in 2008 by Roberto Denti, an Italian theorist, architect, artist, computer graphic artist and designer. The ideas of the Manifesto were logically continued in the creation of the International Group of Artists Quantum Movement in 2012, which was then transformed into the International Academy of Arts and Quantum Science IAMAQ-Italy in 2020.
“...when would it not be for Tauris, that Troy is one for you, Achaean men?”
Authors:   independent researcher, Republic of Crimea, Nikiforov E.G.
Published: October 2024

The material is the text of a speech by writer and literary critic E.G. Nikiforov, opening the presentation of the book, member of the editorial board of the journal “Issues of Culturology”, Doctor of Philological Sciences, Candidate of Cultural Studies, Professor of the State Institute of Treasures A.P. Lyusogo “Literary cinematic eye: A textbook on recognizing the cinematic potential of space and text” (M.: GITR, 2019). The presentation took place in Simferopol. Nikiforov was the host of this meeting. Since then, the text of the speech has not been published. Meanwhile, it represents an interesting experience of interaction between two creative personalities. Therefore, we decided to honor the memory of Evgeniy Nikiforov by publishing it.
Accounting and Assessment of Transaction Costs in the Grain Subcomplex
Authors:   Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia, Bykov A. A. , Khoruzhy L. I. ,   Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia
Published: October 2024

The article proposes a methodology for estimating transaction costs in the grain sub-complex. Their classification has been supplemented in terms of expanding the component cost items by type, which allows a more objective assessment of their level. The regularities of the formation of transaction costs in the grain subcomplex are determined, and the dependence of their size on the scale of activity and location of the organization is substantiated. It has been established that transaction costs in the grain subcomplex are quite high and account for 19-32 % of all costs. They arise in connection with ensuring coordination between market actors and resolving distributive conflicts. It is proved that the level of transaction costs is influenced by the scale of production, the location of the enterprise relative to infrastructure facilities and the level of its development.
Járműkarosszéria-lemezek alakítási tulajdonságainak vizsgálata
Authors: Borbély Richárd , Kölüs Martin László , Béres Gábor József
Published: October 2024

A járművek tervezése során az alkatrészek tömege és az ütközéssel szembeni ellenállása fontos kritériumok, befolyásolják az üzemanyag-fogyasztást és biztonságosabbá teszik a járművet. Jelen tanulmányban az autóiparban gyakran előforduló, növelt szilárdságú anyagok alakváltozását vizsgáltuk méretre vágott hegesztett lemezek formájában. A teszteket kísérleti környezetben és szimulációs környezetben egyaránt elvégeztük, mérve a próbadarabokhoz tartozó bélyegelmozdulást, ezáltal jellemezve az alakváltozást. A mintadarabok kialakításánál a varratot hengerlési irányra merőlegesen és azzal párhuzamosan helyeztük el, ezáltal különböző alakváltozási állapotokat teremtve.
Ausztenites korrózióálló acélok lézeres hegesztési varratainak korróziós vizsgálata
Authors: Breznay Csaba , Varbai Balázs
Published: October 2024

Rozsdamentes acélok hegesztésekor az ipari alkalmazásokban egyre elterjedtebb a lézeres hegesztés. Költségcsökkentés érdekében a hengerelt rozsdamentes idomacélokat ki lehet váltani lézerhegesztett szerkezetekkel. Kutatásunkban 1.4301 ausztenites korrózióálló acélból lézeresen hegesztett T kötések korróziós tulajdonságait vizsgáltuk. A hegesztett kötések egy-, illetve kétoldali sarokvarratokkal készültek, eltérő haladási sebesség- és teljesítménykombinációkkal. Az elektrokémiai korróziós méréseket 3,5%-os NaCl-oldatban végeztük, sztenderd, háromelektródos korróziós cellában.
A karcsúsági viszony hatása a síkbeli alakváltozásra halmaznyomó vizsgálatok során
Authors: Kölüs Martin László , Borbély Richárd , Béres Gábor József
Published: October 2024

A képlékenyalakítási eljárásokban és azok szimulációja során elengedhetetlen paraméter az anyagra jellemző folyásgörbe ismerete. Megszerzése különösen nagy kihívás, lemezanyagok esetén a nagy alakváltozási tartományokban. Köztudott, hogy a súrlódás és a geometriai viszony torzító hatással van a folyásgörbékre, ezért kompenzáció alkalmazása szükséges. Ugyanakkor a geometriai viszony nem csak a folyásgörbék alakulását befolyásolhatja, ha anizotrop viselkedésű a lemezanyag. Kutatásunkban a halmazzömítő vizsgálatok segítségével deformált próbatestek alakváltozási viszonyait vizsgáltuk a digitális képalkotás módszerével. A halmazzömítő vizsgálat széles körben alkalmazott nagyalakváltozási tartományban történő folyásgörbe meghatározása. A vizsgálat során több, ugyanazon geometriai jellemzőkkel felruházott lemezpróbatestet helyeztünk egymásra úgy, hogy azok egy végső próbadarabot formáljanak, majd az így keletkezett halmazokon nyomóvizsgálatokat végeztünk. Azt tapasztaltuk, hogy a geometriai viszonyszám kis értékeinél (kutatásunkban 0,1) az anizotrop viselkedésre utaló képlékeny, síkbeli főalakváltozások aránya nagyobb, mint nagyobb (kutatásunkban 0,5 és 1,0) geometriai viszonyszámoknál.
A teljesítmény és a haladási sebesség hatása a varratgeometriára kézi lézeres hegesztés esetén
Authors: Simon Virág , Varbai Balázs , Abaffy Károly , Gyura László
Published: October 2024

Kutatómunkánk során a lézerteljesítmény és a haladási sebesség varratgeometriára gyakorolt hatását vizsgáltuk kézi lézeres hegesztés esetén. Kísérleteink alapján kiderült, hogy kísérleti paramétereink mellett jellegzetes, két részből álló varrat keletkezik. Eredményül kaptuk továbbá, hogy a lézerteljesítmény növelésével közel lineárisan nő a varratszélesség, a haladási sebesség növelése pedig a varratszélesség csökkenéséhez vezet. A varratmélység bizonyos teljesítményszint felett nem nő tovább. A haladási sebesség csökkenése a varratmélység növekedését eredményezi. A vizsgált haladási sebességek mellett a 70–80%-os teljesítményszinten keskeny és mély beolvadású varrat, a 90–100%-os lézerteljesítménynél pedig ennél szélesebb, de kisebb beolvadású varrat keletkezett.
Проблемы и вызовы экономической государственной политики в условиях влияния последствий пандемии коронавирусной инфекции с учетом прогрессирующего санкционного давления
Authors: Мастеров А.И.
Published: October 2024

В статье рассматриваются основные экономические тенденции, проявившиеся по итогам пандемии коронавирусной инфекции. На основе проведенного анализа выявлены основные проблемы и вызовы, стоящие перед российской экономикой в условиях действия последствий пандемии коронавирусной инфекции и прогрессирующего санкционного давления

The article examines the main economic trends that emerged as a result of the coronavirus pandemic. Based on the analysis, the main problems and challenges facing the Russian economy in the context of the effects of the coronavirus pandemic and progressive sanctions pressure have been identified.
Построение структуры функционального управления экономических систем
Authors: Герасимов Б.Н.
Published: October 2024

Функциональное управление используются в рамках исследования, построения и реформирования структур и содержания деятельности экономических систем. Разработана модель взаимодействия атрибутов нормативного состояния подпроцесса управления в экономических системах типа «организация». Представлена модель формирования технология реализации подпроцесса управления организации с участием функций управления. Приведена технология разработки функции нормирования в рамках подпроцесса управления организации для использования на практике. Рассмотрен процесс проектирования на примере одного подпроцесса управления в рамках процесса управления персоналом в соответствии с основными методологическими положениями. Использование концепции функционального управления позволяет определить элементы атрибутов и структуру операционной деятельности в экономических и социальных средах для улучшения функционирования современных организаций в рыночных условиях.

Functional management is used in the framework of the study, construction and reform of the structures and content of the activities of economic systems. A model of interaction of attributes of the normative state of the management subprocess in economic systems of the "organization" type has been developed. A model of the formation of a technology for the implementation of an organization's management subprocess involving management functions is presented. The technology of developing the rationing function within the framework of the organization's management subprocess for use in practice is presented. The design process is considered on the example of one management subprocess within the framework of the personnel management process in accordance with the basic methodological provisions. The use of the concept of functional management makes it possible to determine the elements of attributes and the structure of operational activities in economic and social environments to improve the functioning of modern organizations in market conditions.