bluuebunny/crossref_metadata_2025 huggingface dataset:
Priorities of Regional Economic Policy of the Federal Centre
Authors:   Saratov State University, Fedolyak V. S.
Published: January 2025

In the article priorities of regional economic policy of the federal centre within the limits of existing basic concepts of mutual relation of system «the centre – region» are considered. Besides, base paradigms of region and strategy of social and economic development of regions of Russia corresponding to them are considered.
Influence of Distribution of a Wages and the Taxation on Distribution of the Cumulative Income of the Population
Authors:   Saratov Social-Economic Institute of the Plekhanov Russian University of Economics, Ustinova N. G.
Published: January 2025

In the article questions of an inefficiency of distribution of the cumulative income of the population are discussed. As the basic forms of distribution of the income distribution of wages and the taxation of individual incomes are considered. It is shown, that the inefficiency of distribution of incomes is defined not only dynamics of an inequality, but also structure of distribution by separate kinds of incomes and features of a tax policy.
Epistemic Disruptions. Autofiction and Identity Politics in Paul B. Preciado’s Can the Monster Speak? (2020) and Kim de l’Horizon’s Blutbuch (2022)
Authors: Bremerich Stephanie
Published: January 2025

The paper examines contemporary autofictional texts about queer identities in the context of current debates on identity politics. Paul B. Preciado’s Can the Monster Speak? (2020) and Kim de l’Horizons’s Blutbuch (2022) reflect queer identities in the form of transgressive and transitory writing which blurs the boundaries between academic and fictional discourse and ultimately leads to a hybridisation of the narrative. Both texts use autofiction as a means of epistemic disruption, that is as a critical questioning of Western epistemology, especially with regard to academic discourse (Preciado) and cultural memory (de l’Horizon). The ‘I’ of the autofiction becomes the catalyst of an anti-hegemonic knowledge and anti-hegemonic discourse and thus performs a core concern of identity politics in a literary way, namely the claiming of a subject and speaker position in the hegemonic discourse. At the same time, the aporias of identity politics discourses also become clear when looking at both autofictions.
The Auto/biographical Nature of Ukrainian Women’s Literature on the War in Donbas
Authors: Gaidash Anna
Published: January 2025

In the close reading of Natal’ya Vorozhbit’s drama Bad Roads (2017), Yevgeniya Podobna’s book of stories and memoirs titled Girls Cutting Their Locks (2018), and Tamara Duda’s novel Daughter (2019), the author of the article examines the relations between subject and object of the Donbas war texts in the framework of their creation, auto/biographic nature, gender optics, and therapeutic effect. The goal of the study is to analyze how auto/biographical narratives employ actualization of life, leading to the fictionalization of drama and prose texts, which results in heterobiography or synthesis of auto/biographical narratives with heterobiographies. Mostly processed by professional writers, the documentary accounts of military experience of women characters convey the evidence of Zeitgeist, which forms a unique writing in modern war literature. The paper discusses the perspective of women, forms of undermining patriarchy, and rhetoric of “national autobiography” along with self-consciousness and self-reflexivity as markers of auto/biographical texts of Ukrainian women writers of the period in the selected texts.
Piszący pomnik. Autobiografizm jednostkowy i kolektywny w Zibaldone Giacoma Leopardiego
Authors: Fiedorczuk Zbigniew , Mangiapelo Alessio
Published: January 2025

Niniejsza praca ma na celu analizę retrospekcji i „datowanych śladów” doświadczeń zawartych w intelektualnym dzienniku Giacoma Leopardiego oraz pragnie ukazać ich ewentualny związek z zagadnieniami natury społecznej. Odczytanie fragmentów Zibaldone pozwala na usytuowanie dzieła zarówno w obrębie rozważań o dzienniku jako gatunku, jak i o samej istocie refleksji autobiograficznej, ujawniającej własne strategie, formy i zdolności asymilacyjne wobec innych form literackich. Analizie poddana jest również tożsamość narracyjna (Paul Ricoeur) wyłaniająca w Zibaldone, gdzie biograf i autobiograf poprzez swoje opowieści bezustannie negocjują warunki, na jakich przebiegają granice samopoznania, jak i otaczającej rzeczywistości. Praca odczytuje elementy intersubiektywnego dialogu wspartego różnorodnością głosów i świadectw, jakie utkwiły w świadomości autora (rodzina, postacie historyczne, fikcyjne, współczesne autorowi). Praca stara się wskazać na elementy dzieła, które z jednej strony umożliwiają nieustanne ponawianie obietnicy auto-referencji w postaci mirror talk (Susanna Egan), z drugiej zaś na ujęcie konfliktu jednostki ze społeczeństwem, a w końcu zaproponowanie myśli ukierunkowanej na pogodzenie jej z szeroko rozumianym kolektywem.
Antibiofilm of metabolites of the Proteus myxofaciens JB 20B for the prevention and treatment of vaname shrimp infected with Vibrio harveyi bacteria
Authors: Tri Rezeki Nanda , Wahjuningrum Dinamella , Widanarni Widanarni , Elizabeth Waturangi Diana
Published: January 2025

Vibrio harveyi is one of the common bacteria that cause disease in vaname shrimp. The purpose of this study is to determine the efficacy of bacterial metabolites Proteus myxofaciens JB 20B as an antibiofilm agent in the prevention and treatment of V. harveyi-infected vaname shrimp (Litopenaeus vannamei).  The research design included eight treatments and three replicates: K- (negative control), K+ (positive control), KANC and KANG (antibiotic control 50 g/100ml for preventive and treatment), PCE (preventive extract 0.1 ml/Kg feed), PCS (preventive supernatant 20 ml/Kg feed), PGE (treatment extract 0.1 ml/Kg feed), and PGS (treatment supernatant 20 ml/Kg feed). On day 15th, vaname shrimp were intramuscularly infected with 106 CFU/mL of V. harveyi. Examining clinical symptoms, viewing histology, assessing total haemocyte count, phagocytosis activity, phenoloxidase activity, respiratory burst, and growth performance. According to the findings of this study, the treatment of bacterial metabolites P. myxofaciens JB 20B (PCE, PCS, PGE, and PGS) is superior to the positive control (K+) treatment in terms of reducing shrimp hepatopancreas necrosis, increasing the value of total haemocyte count, phagocytosis activity, phenoloxidase activity, respiratory burst, and growth performance of vaname shrimp through post-infection feeding in both prevention and treatment. The use of P. myxofaciens JB 20B bacterial metabolites to control V. harveyi infection in vaname shrimp yielded the best results in the supernatant treatment.
Shipping Containers as Temporary Shelters in Post-Disaster Scenarios: Flying Factories
Authors: Yıldırım Semih Göksel , Ciritci İlke , Fındıkgil Meryem Müzeyyen , Atalay Hilay
Published: January 2025

After the recent earthquakes in Turkey, there has been a significant demand for temporary shelter. Issues such as the availability of emergency shelters, designated emergency assembly areas, and the lack of social networks have come to the forefront. Due to the construction industry's inability to produce the necessary quantity of prefabricated temporary housing, the Ministry of Trade imposed a three-month ban on the export of prefabricated structures in 2023. The limited availability of emergency assembly areas renders low-density temporary settlements unfeasible. For disaster victims, leaving their homes does not provide a solution to overcoming the trauma they have experienced; in fact, it can exacerbate other economic, social, and security issues. Reusable shipping containers can partially address the problem of temporary shelter by utilizing the concept of flying factories. This research proposes a model that encompasses both technical and social phases, including the creation of technical documentation prior to a disaster and aiming for a participatory production model in the aftermath. The establishment of temporary logistics and production facilities is crucial and should be driven by volunteer participation under the guidance of professionals. Additionally, this model includes training and coordination activities before a disaster as part of the execution plan. Through this study, which incorporates both physical and social dimensions, an integrated solution is proposed based on the identification of challenges faced after recent disasters.
Mathematical Optimization of Monte Carlo Simulation Parameters for Predicting Stock Prices
Authors: Norozpour Sajedeh
Published: January 2025

Stock price prediction holds paramount significance for individual investors, guiding crucial decisions in financial planning and investment strategies. This research delves into the methodology of Monte Carlo simulation, a versatile tool in financial modeling, to assess its advantages and disadvantages in the context of predicting stock prices. The study employs Python code to demonstrate the step-by-step implementation of Monte Carlo simulations, emphasizing the mathematical optimization of parameters for enhanced accuracy. Results showcase a characteristic bell curve, offering a probabilistic perspective on potential outcomes. Comparative analyses with other forecasting models, such as graphic analysis, underscore the superior reliability of Monte Carlo simulation in evaluating risks and rewards. Furthermore, the paper explores the application of Monte Carlo simulation in real-world scenarios, such as portfolio optimization and retirement planning, highlighting its pragmatic value for individual investors navigating the complexities of the stock market. The research concludes by acknowledging the limitations of the approach and advocating for a comprehensive consideration of all relevant factors in financial decision-making. This exploration serves as a valuable resource for individual investors seeking informed insights into probabilistic forecasting methods for effective stock price predictions.
Nolan asciende: la ciencia ficción y la vértebra que falta
Authors: Aguero Rabines Renato , Lengua Lafitte Mauricio , Palazzetti Kaser Arena , Schneider Gherson Isaac , Villate Villalobos Yakori
Published: January 2025

Uno de los directores más importantes del siglo XXI es, sin lugar a dudas, el angloamericano Christopher Nolan. Es particularmente conocido por mezclar diversos géneros dentro de sus películas para crear escenarios épicos e innovadores. Esta forma de abordar los temas no ha permitido que se le encasille como un director de ciencia ficción, a pesar de ciertas características comunes que pueden observarse en sus películas. Entonces, ¿hacia qué lado va Nolan?
La idea de un mundo sin Dios
Authors: Pita Dueñas César
Published: January 2025

La idea de un mundo sin Dios puede resultar intolerable para el común de los mortales. Después de todo, la vida carecería aparentemente de sentido si no existiera un ideal respecto a lo que sucede una vez que nuestro tiempo en la Tierra se ha terminado. ¿Solamente hay silencio? ¿O existe la esperanza de un despertar, de un espacio de gozo si nos portamos bien? ¿Y si nos portamos mal? ¿El castigo es perpetuo? A fin de cuentas, ¿cuál es nuestra misión en el mundo? ¿Qué es lo que debemos buscar? Mejor aún: ¿el cine es capaz de dar respuestas a este tipo de preguntas? La respuesta lógica es negativa porque las mejores películas siempre generan más preguntas. El cine de Ingmar Bergman se inserta en esta línea de naturaleza existencial.
Exploring the Local Wisdom Potential of Kerinci for Contextual Ethnochemistry Learning
Authors: Anzalina Hofifah , Anggi Desviana Siregar  , Indah Kencanawati
Published: January 2025

This study aims to explore the integration of local wisdom from Kerinci into chemistry learning by utilizing an ethnochemistry approach. The background of the research focuses on the importance of contextual learning in facilitating the understanding of chemistry concepts. The research method employed is a field study with a qualitative approach and descriptive design. The study involves chemistry teachers from SMA Negeri 7 Kerinci and the community of Koto Tuo Pulau Tengah village as informants. Data was collected through interviews, observations, and documentation. The data analysis technique applied is the Miles & Huberman model, which includes data reduction, data presentation, and conclusion drawing. The main findings of the research indicate that Kerinci's local wisdom, such as the use of turmeric, betel leaves, betel lime, jackfruit leaves, and banana peels, has significant relevance to chemistry material and can be integrated to enhance students' understanding. Teachers can create context-based lesson plans that link theoretical knowledge to practical examples, allowing students to grasp the real-world relevance of chemistry.
Development of Polymer E-Modules in Solution, Solids, and Amorphous Based on Problem-Based Learning
Authors: Rani Safitri  , Sanjaya  , Eka Ad’hiya  , Andi Suharman  , M. Hadeli
Published: January 2025

This research was conducted with the aim to produce E-Modules of polymers in solution, solids, and amorphous based on problem-based learning that are valid, practical and effective. This research used the 4S-TMD (Four Steps Teaching Material Development) research model which consists of four stages, namely selection, structuring, characterization, and didactic reduction. After the material validity test was conducted by two expert lecturers. The material validation score was 0.96; pedagogical validation 1; and design validation 1. The practicality of this E-Module is proven by getting an average score of 95.7%, which is classified as very practical. In addition, the effectiveness test using the N-Gain value reached 0.91 (high category).. Based on this value, it shows that the E- Module of polymers in solutions, solids, and amorphous based on problem-based learning has achieved valid practical and effective criteria.
Validity Of Project Based Learning Model Integrated Sasambo Local Wisdom To Improve Students' Entrepreneurial Science Thinking
Authors: Rahman Nanang , Nursina Sari  , Liswijaya
Published: January 2025

This study aims to develop a project based learning model integrated with Sasambo local wisdom to enhance entrepreneurial science thinking. The type of research conducted is developmental research. The subject of development research is the Sasambo integrated Project Based Learning (PjBL) model and its supporting devices, applied to students. The data collection method involved validating the model book and supporting instructional materials for model implementation. The validation was carried out by three science education experts who evaluated the model book, semester learning plans, lecture session plan, student activity sheets, and the assessment sheets for entrepreneurial science thinking. The research findings indicate that the project based learning model integrated with Sasambo local wisdom shows excellent relevance and consistency, with criteria that are highly valid and reliable. The project based learning model integrated with Sasambo local wisdom consists of six stages: (1) project orientation, (2) problem identification within groups, (3) information gathering, (4) project design, (5) project implementation, and (6) presentation and evaluation. The developed model can effectively train entrepreneurial science thinking, as the learning stages are already integrated with the indicators of entrepreneurial science thinking.
Analysis of Needs for Developing Higher Order Thinking Skills Test Instruments in Chemistry Learning Model Course
Authors: Jayanti Etrie
Published: January 2025

At the university level, developing higher-order thinking skills (HOTS) for college students is very important. Therefore, regular practice with higher-order thinking skills questions is necessary for college students. The absence of research identifying the use of higher-order thinking skills questions in one of the chemistry education programs, specifically in the course on the chemistry learning model, serves as the background for this study. This research aims to analyze the need to develop higher-order thinking skills test instruments in the learning model course. This study is part of the initial stage of research and development, specifically part of the define phase of the 4-D development model. The research involves lecturers and college students from the Chemistry Education Study Program at an Islamic University in South Sumatra. The data obtained from this research are qualitative data presented in descriptive form, including document analysis results and interview data from lecturers and college students. The instruments used to collect the research data include documentation and interview guidelines. Based on the data analysis results, it was found that the mid-semester and final-semester exam essay questions are not yet optimally adequate in facilitating college students to think at a higher level and in accommodating all the materials/topics in the chemistry learning model course. The essay questions that have been used so far tend to utilize operational verbs that fall into the category of low-order thinking skills. Therefore, developing higher-order thinking skills test instruments for the chemistry learning model course is necessary.
Factors Associated with Driving Ability and Changes after Immobilization of the Right Lower Limb: A Driving Simulator Study
Authors: Yoo Hyun Jin , Kim Young Cheol , Lee Moo-Sik , Oh Byung Hak , Heo Youn Moo , Kim Tae Gyun , Yoo Se Jong
Published: January 2025

Patients with orthopedic injuries often require cast immobilization therapy using casts. Driving with a cast on the right lower limb restricts many things. This study aimed to investigate the factors associated with driving capacity after orthopedic fixation of the right lower limb in healthy adult volunteers. This study’s hypothesis was that the orthopedic splint immobilization would have delayed reaction when driving simulation. We carried out an experimental study between 17 April 2023 and 19 May 2023 in Daejeon, South Korea. We set up the study in two phases: a driving simulation experiment without immobilization with a cast on the right lower limb and a driving simulation experiment with immobilization with a cast on the right lower limb. The Data collected through the questionnaire was then analyzed in R version 4.2.2. A total of 47 individuals participated in the study with a mean height of 167.68 of which 68.09% were females. Overall, 78.7% of the study participants could not drive after immobilization with a cast on the right lower limb. There was a significant difference between participants who could drive and those who could not drive by height (p = 0.04), age (p = 0.038), and body type (p = 0.046). Our study demonstrates that an individual’s height, age, and skin type are associated with an individual’s driving ability after orthopedic immobilization of the right lower limb. Our findings suggest that regulations regarding the ability to drive after orthopedic immobilization of the right lower limb must be reconsidered.
Experiences and Prospects of Paisa Management on the Drained Lands of Polissia Ecozone
Authors: Kuzmych Lyudmyla , Voropai Halyna , Zosymchyk Mykola , Stetsiuk Mykola , Halecki Wiktor , Kuzmych Stepan , Stozhka Dmytro
Published: January 2025

The research identified key technological parameters for growing paisa on drained lands of Polissia Ecozone. Various criteria, such as productivity, adaptability, energy and nutritional value, and usage potential, were used to assess the feasibility of growing paisa. Pilot studies at the Rivne Region, Ukraine showed significant yields even in adverse weather conditions. Proper sowing timing is crucial, with early sowing risking weed overgrowth and frost damage, while late sowing may hinder germination. The optimal sowing date was determined to be May 15, resulting in 8.1–16.7% more green mass and 2.1–9.6% more dry matter at all growth stages. The research established technological parameters for different growth stages, taking into account critical water availability periods, agronomic practices, and recommended fertilizer norms for peat soils. It found that maintaining soil moisture levels between 65% and 75% is optimal, based on field capacity. Guidelines were also provided for drainage systems to effectively remove excess water and maintain optimal GWL. Climate change in Polissia presents challenges for growing paisa due to uneven rainfall and temperature fluctuations. Planning for water accumulation in reservoirs for irrigation during drought periods is essential to support sustainable crop growth under changing climate.
Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features
Authors: Ling Xing Hong , Luo Sheng Guang , Zhou Run Nan , Jiang Yan Xiao
Published: January 2025

The feature retrieval technology for building floor plans has garnered significant attention in recent years. Efficient information retrieval is essential for the effective management and execution of construction projects. This paper presents a comprehensive exploration of four primary features in the retrieval of building floor plans: Semantic features, Spatial features, Shape features, and Texture features(3ST features). The extraction algorithms and principles associated with these features are analyzed, and relevant methods, such as wavelet transforms and Fourier shape descriptions, are discussed. Additionally, the performance of various retrieval algorithms is evaluated through experimental analysis, providing valuable insights for the retrieval of building floor plans. Finally, this study anticipates future directions for the development of feature retrieval technology in floor plans.
Golden Ratio Function: Similarity Fields in The Vector Space
Authors: Grigoryan Artyom , Grigoryan Meruzhan
Published: January 2025

In this work, we generalize and describe the Golden ratio in the multi-dimensional vec-tor space. We also introduce the concept the law of similarity for multidimensional vectors. Ini-tially, the law of similarity was derived for one-dimensional vectors. Although it operated with such values of the ratio of parts of the whole, it meant linear dimensions (a line is one-dimensionality). The presented concept of the general golden ratio (GGR) for the vectors in the multidimensional space is described in detail with equations and solutions. It shown that the GGR is a function of one or a few angles, which is the solution of equations, or the golden equa-tion, described in this work. Main properties of the GGR are given with illustrative examples. We introduce and discuss the concept of the golden pair of vectors and the set of similarities for a given vector. Also, we present our vision on the theory of the golden ratio for triangles and de-scribe in detail the similarity triangles with illustrative examples.
Accuracy of Digital Measurements: Analysis of Orthopantomography versus Lateral Cephalograms for Evaluation of Facial Asymmetry
Authors: Stăncioiu Andra Alexandra , Motofelea Alexandru Catalin , Hușanu Anca Adriana , Vasica Lorena , Nagib Riham , Popa Adelina , Szuhanek Camelia Alexandrina
Published: January 2025

Background/Objectives: This study aimed to compare the accuracy of digital measurements obtained from orthopantomographies (OPGs) or panoramic radiographs and lateral cephalograms in evaluating facial asymmetry in patients with different skeletal classes. The sample consisted of 128 Romanian patients (67 females, 61 males; median age 21 years) who sought orthodontic treatment. Methods: Lateral cephalograms and OPGs were obtained for each patient, and digital tracing was performed using the WEBCEPH program. Angular measurements (ANB, FMA, gonial angles) and linear measurements (ramus height, mandibular body length) were assessed on both imaging modalities. Results: Strong positive correlations were found between the gonial angle and ramus height measurements obtained from lateral cephalograms and OPGs (rs range: 0.800-0.946; p < 0.001). However, mandibular body length showed weaker correlations between the two methods. Significant sex differences were observed, with males exhibiting larger craniofacial measurements compared to females (p < 0.05). Conclusions: The findings suggest that OPGs can be reliably used to measure the gonial angle and ramus height, providing results comparable to lateral cephalograms. However, caution should be exercised when predicting horizontal measurements from OPGs. Standardization of the OPG recording process and further research with larger sample sizes are required to establish standard panoramic norms for OPG parameters in the assessment of facial asymmetry.
Numerical Study of Perforated Plate Balanced Flowmeter Performance for Liquid Hydrogen
Authors: Zhao Feng , Song Jincheng , Peng Shiyao , Zhang Xiaobin
Published: January 2025

The balanced flowmeter not only inherits the advantages of the orifice plate flowmeter but also stabilizes the flow field, reduces permanent pressure loss, and effectively increases the cavitation threshold. To deeply analyze flow characteristics through the perforated plate and achieve performance optimization for the liquid hydrogen (LH2) measurement, a numerical calculation framework based on the Mixture model, Realizable turbulence closure, and Schnerr-Sauer cavitation model is established. The model is first evaluated by comparing with the liquid nitrogen (LN2) experimental results of a self-developed balanced flowmeter as well as the measuring setup. The flow coefficient and pressure loss coefficient are especially concerned and the comparison with the orifice plane is made with the cavitation and non-cavitation conditions. The cavitation cloud and temperature contours are also present to illustrate the difference of measuring the upper limit of Re between water, LN2, and LH2 flow. The results show that compared to LN2 and water, LH2 has a larger cavitation threshold, indicating a wider range of Re number measurements.
Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images
Authors: Li Ruide , Yan Wenjun , Xia Chaoqun
Published: January 2025

The existence of hotspot defects in photovoltaic (PV) modules significantly affects the energy generation efficiency and operational safety. Detecting PV arrays is essential for the rapid localization of hotspot defects. This study tackles the complexities of detecting PV array regions and diverse hotspot defects in infrared imaging, particularly under conditions of complex backgrounds, varied rotation angles, and the small scale of defects. To address these challenges, we propose a dual-branch detection network that integrates PV array detection with hotspot defect detection. The array branch employs a diffusion-based anchor-free mechanism with rotated bounding box regression, enabling robust detection of arrays with diverse rotational angles and irregular layouts. The defect branch incorporates a novel inside-awareness loss function designed to enhance the detection of small-scale objects. By explicitly modeling the dependency distribution between arrays and defects, this loss function effectively reduces false positives in hotspot detection. Experimental validation on a comprehensive PV dataset demonstrates that the proposed method outperforms baseline models in precision, recall, and mean average precision (mAP) metrics across various defect types and PV arrays.
Beyond Black Holes: The Emergence of Black Spheres and Their Role in Shaping the Universe
Authors: Gaspar Iago
Published: January 2025

We present a unified model for black hole remnants—black spheres—that resolves the terminal evaporation paradox by incorporating quantum gravitational corrections into Einstein's field equations. These metastable objects emerge from late-stage Hawking evaporation when Planck-scale effects dominate. The modified field equations include renormalization-group quantum corrections and a dynamical dark energy term, ensuring that black spheres remain stable beyond the traditional singularity. Black spheres evolve through four distinct phases. First, evaporation halts at a remnant mass, avoiding singularities due to quantum pressure effects. Next, during the bounce phase, stabilization occurs through spacetime torsion, leading to a superfluid-like state. In the roaming phase, black spheres follow accretion dynamics described by relativistic Gross-Pitaevskii equations. Finally, at a critical threshold, black spheres undergo 0collapse, potentially nucleating new universes while satisfying spacetime continuity conditions.This framework makes several key predictions. Gravitational wave dispersion effects should be detectable as sub-luminal propagation due to quantum fluid interactions. Neutrino decoherence effects may provide further observational signatures, with characteristic timescales dependent on remnant mass. Additionally, anomalies in cosmic microwave background (CMB) polarization could serve as evidence for quantum entanglement in the early universe.Bridging quantum gravity and cosmology, this model offers testable predictions for LIGO, CMB-S4, and neutrino observatories. It provides a new perspective on the information loss paradox by identifying black spheres as carriers of quantum hair, while their critical collapse mechanism suggests a geometric origin for dark energy (Λ(t) ∝ t−2).
Exploring Time-Resolved Fluorescence Data: A Software Solution for Model Generation and Analysis
Authors: Peulen Thomas-Otavio
Published: January 2025

Time-resolved fluorescence techniques, such as fluorescence lifetime imaging microscopy (FLIM), fluorescence correlation spectroscopy (FCS), and time-resolved fluorescence spectroscopy, are ideally suited for investigating molecular dynamics and interactions in biological and chemical systems. However, the analysis and interpretation of these datasets require advanced computational tools capable of handling diverse models and datasets. This paper presents a comprehensive software solution designed for model generation and analysis of time-resolved fluorescence data. The software supports the integration of multiple fluorescence techniques and provides users with robust tools for performing complex model analysis across diverse experimental data. With its ability to facilitate such a global analysis, model generation, data visualization, and sampling over model parameters, the software enhances the interpretability of intricate fluorescence phenomena. By providing flexible modeling capabilities, this solution offers a versatile platform for researchers to extract meaningful insights from time-resolved fluorescence data, aiding in the understanding of dynamic molecular processes.
Heart Rate and Prognosis of Heart Failure with Reduced Ejection Fraction in Women and Men in Sinus Rhythm
Authors: Mansur Antonio Padua , Bergamo Maria Eduarda , Nascimento Geovana Braga , Machado Giovanna Silva , del Carlo Carlos Henrique , Avakian Solange Desirée , Bocchi Edimar Alcides , Pereira-Barretto Antonio Carlos
Published: January 2025

Background: Resting heart rate (RHR) is a therapeutic target for heart failure with reduced ejection fraction (HFrEF), with reductions to 60 bpm improving outcomes. Elevated RHR is associated with increased mortality in HFrEF. However, sex-specific differences in mortality, particularly for women in sinus rhythm, remain unclear. We evaluated mortality rates at RHR thresholds of ≤60 bpm and ≤70 bpm in women and men with HFrEF. Methods: From February 2017 to January 2022, we assessed 2,984 patients (61 ± 13.8 years, 64.4% men) with HFrEF in sinus rhythm. Clinical and echocardiographic data were analyzed to examine RHR’s influence on mortality. Results: Over a mean follow-up of 3.7 ± 1.6 years, left ventricular ejection fraction improved in men (29.5% ± 6.7% to 36.7% ± 12.9%; p<0.001) and women (29.9% ± 6.4% to 38.0% ± 13.4%; p<0.001). Men had higher mortality (43.7% vs. 36.7%; p<0.001), with cumulative death incidence greater at RHR >60 bpm (p<0.001) and >70 bpm (p=0.011). Cox regression identified RHR as an independent predictor of mortality for men (HR=1.008; p=0.008) but not women. Conclusion: Elevated RHR increases mortality risk in men, suggesting a target near 60 bpm and closer to 70 bpm in women, supporting individualized RHR management.
Maximizing the Benefit of Desalination Brine: Guidance and Awareness for Transitioning from Waste to Valuable Resources
Authors: Fahoume Mounir , Echarradi Othmane
Published: January 2025

The competition for desalination is currently underway. A mere decade ago, nations within the Maghreb region and, rather unexpectedly, European countries, were fortunate enough to evade humanity's primary adversary: drought. However, the unpredictable nature of climate change has since altered this reality. Consequently, an increasing number of countries are contemplating the serious prospect of utilizing desalination to fulfill their potable water requirements from the seas and oceans bordering their coastlines. Regrettably, research and experience have indicated that highly saline water presents a significant threat to marine ecosystems. This scholarly investigation aims to contribute to the discovery of a solution that will enable the continuation of seawater desalination without inflicting harm on the marine flora and fauna, and this work can be considered as a prototype that need to be studied closely, because the results are here and undeniable, plus this is all what we going to need more and more in near future, namely water and energy.
Using a Machine Learning Approach to Predict Snakebite Envenoming Outcomes Among Patients Attending the Snakebite Treatment and Research Hospital Kaltungo, Northeastern Nigeria
Authors: Hamman Nicholas Amani , Uppal Aashna , Mohammed Nuhu , Ballah Abubakar Saidu , Abdulsalam Danimoh Mustapha , Dangabar Frank Mela , Barde Nuhu , Abdulkadir Bello , Abdulkarim Suraj , Dahiru Habu , Mohammed Idris , Lang Trudie , Difa Joshua Abubakar
Published: January 2025

The Snakebite Treatment and Research Hospital (SBTRH) is a leading center for snakebite envenoming care and research in sub-Saharan Africa, treating over 2,500 snakebite patients annually. Despite routine data collection, routine analyses are seldom conducted to identify trends or guide clinical practices. This study retrospectively analyzed 1,022 snakebite cases at SBTRH from January to June 2024. Most patients were adults (62%) and were predominantly male (72%). Key factors such as age, sex, and time between bite and hospital presentation were associated with outcomes, including recovery, amputation, debridement, and death. Adult males who took more than four hours to arrive to hospital were identified as a high-risk group for poor outcomes. Using patient characteristics, an XGBoost model was developed, which achieved an area under the received-operator curve (AUROC) of 0.484 with all patient characteristics, and 0.529 when using a simplified subset of characteristics. Model performance was compared to random-forest and logistic regression models. In general, for all models, performance tended to increase slightly when using a simplified set of features, which may be of significance to resource-limited settings like SBTRH, however, more research is needed to build more robust models. These findings underscore the need for targeted interventions for high-risk groups, optimization of antivenom administration strategies and integration of machine learning-driven decision support tools in low-resource-limited clinical settings.
Electrografting of Aryl Diazonium Monolayers onto ITO to Generate Hybrid and Structural Silica/Polypyrrole Coatings
Authors: Lo Momath , Vivegnis Sébastien , Bhakta Arvind K. , Mekhalif Zineb , Chehimi Mohamed M.
Published: January 2025

Compositing and hybridizing compounds is a generally accepted route to making new materials that perform better than the individual components taken separately. Herein, we describe a new electrochemical route for constructing hybrid materials from Polypyrrole (PPy). In this context, thin films of silica layer (Si) deposited by electro-assisted on a flexible ITO (f-ITO) surface modified by diazonium salt (f-ITO-NH2) were covered with an adhesive layer of polypyrroles. Deposition periods ranging from 20 to 45 seconds produce more electroactive silica layers. The electrochemical method confirmed the growth of a silica layer on the surface of the f-ITO-NH2 electrode. The different flexible electrodes were characterized by XPS, by electrochemical and scanning electron microscopy (SEM), which showed the central role of the diazonium chemical interface in the development of PPy on the silica layer. According to cyclic voltammetric studies, altering the f-ITO surface with diazonium salts produces PPy-Si polymers with more conductivity than a comparable coating without integrated treatment. This work demonstrates the power of a subtle combination of diazonium coupling agents on f-ITO, silica layer, and conductive polymers (f-ITO-NH2-Si-PPy) to design high-performance electrochemical materials.
Ambidextrous Innovation, Organizational Resilience and the High-Quality Development of Enterprises：A Dynamic Analysis Based on Enterprise Life Cycle
Authors: Chai Meiqun , Chen Jin , Liu Pingping , Foster Wanda
Published: January 2025

Ambidextrous innovation provides impetus and differentiated advantages for the high-quality development of enterprises from the innovation-driven perspective. Meanwhile, organizational resilience lays a solid foundation for high-quality development by ensuring the stable operation of enterprises and enabling them to respond flexibly to changes. Both of them jointly assist enterprises in achieving high-quality and sustainable development within a complex and changeable environment. Based on existing studies and the data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2022, this paper introduces the dynamic perspective of the enterprise life cycle and explores the mechanism among ambidextrous innovation, organizational resilience and the high-quality development of enterprises. The research findings are as follows: (1) Both exploratory innovation and exploitative innovation can significantly promote the high-quality development of enterprises. (2) In different stages of the enterprise life cycle, the impact effects of exploratory innovation and exploitative innovation on the high-quality development of enterprises are different. Specifically, exploratory innovation exerts the greatest promoting effect on enterprises in the growth stage, while exploitative innovation has the most significant promoting effect on those in the maturity stage. (3) Organizational resilience plays a partial mediating role between the two dimensions of ambidextrous innovation and the high-quality development of enterprises. This study can help enterprises enhance the scientificity and effectiveness of implementing ambidextrous innovation activities in the context of coexisting crises, and provide certain theoretical guidance and practical implications for the high-quality development of enterprises.
A Novel Sample Preparation Method for Veterinary Use of Volatile Organic Compounds in Whole Blood
Authors: Ahn Kyung-Geun , Choi Ryu Ho , Gwak Soonchul , Choi Inyoung , Jang Giup , Kim Jin-Wook Chris , Kim GeonA
Published: January 2025

Volatile organic compounds (VOCs) in biological samples originate both from exogenous and endogenous sources. Recent studies have highlighted their potential as cancer biomarkers, emphasizing the need for accurate detection methods in clinical settings. However, the analysis of VOCs in whole blood (WB) samples remains challenging due to complex matrix effects caused by protein-VOCs binding phenomenon and lack of standardized sample preparation protocols. Therefore, this study suggests a standardized method for advanced VOC analysis in WB samples specifically for veterinary applications. We compared 12 combinations of reagents composed of protein denaturing reagents and salts, particularly urea mixtures, to enhance VOC decoupling from proteins and improve matrix effect uniformity in gas chromatography-mass spectrometry (GC-MS) analysis. Among all combinations, urea with NaCl showed optimal performance, demonstrating advancement in the detection sensitivity up to 339.4% and significantly reduced matrix effect variation (-35.5% to 25%) compared to the water-only control. This novel approach eliminates complex procedures while maintaining accuracy, making it particularly suitable for veterinary uses. The method's standardization and improved performance characteristics offer a practical solution for efficient VOC detection in veterinary diagnostics, potentially advancing both environmental exposure monitoring and tumor biomarker research.
Beyond Isolation: Social Networks as a Bridge to Well-Being in Old Age
Authors: Ribeiro Renato Mendonça , Coria Vivian Romanholi , Ribeiro Beatriz Garofano dos Santos , Menezes João Daniel de Souza , Santos Emerson Roberto dos , Silva Matheus Querino da , Quiterio Alex Bertolazzo , Martinez William Donegá , Barros Thales Guardia de , Silva Ana Julia de Deus , Lopes Luiz Otávio Maciel , Lopes Sônia Maria Maciel , Castro Natalia Almeida de Arnaldo Silva Rodriguez , Lázaro Camila Aline , Fabris Maria Laura , Gonçalves Tânia Cassiano Garcia , Pinto Maria Helena , Pompeo Daniele Alcalá , Oliani Denise Cristina Móz Vaz , Oliani Antônio Hélio , Bonifácio Neuza Alves , Santos Loiane Letícia dos , Filho Marco Antonio Ribeiro , Filho Gerardo Maria de Araújo , Poletti Nádia Antônia Aparecida , Spessoto Luís Cesar Fava , Sasaki Natália Sperli Geraldes Marin dos Santos , Michelin Aparecida de Fátima , Bianchin Maysa Alahmar , Brienze Vânia Maria Sabadoto , André Júlio César , Ribeiro Rita de Cássia Helú Mendonça , Kusumota Luciana
Published: January 2025

Population aging and the digital revolution converge, creating challenges and opportunities for the social inclusion of older adults. This study examined social media usage patterns among Brazilian older adults during the COVID-19 pandemic, ex-ploring their associations with sociodemographic factors, health, and well-being. Through an online survey with 441 participants aged 60 or older, we found that WhatsApp® and Instagram® were the most utilized platforms, with a significant in-crease in usage during the pandemic. Higher educational attainment and income were associated with more frequent and diverse social media use, while the presence of comorbidities positively correlated with seeking health information online. Notably, greater engagement in social networks was associated with an improved perception of well-being. The results highlight the potential of social networks as tools for digital inclusion, access to information, and promotion of well-being for older adults, especially in crisis contexts. However, they also reveal socioeconomic disparities in access to and use of these technologies. These findings have significant implications for public pol-icies on digital inclusion and health promotion, suggesting the need for targeted in-terventions to reduce digital inequality among older adults and maximize the potential benefits of social networks for active and connected aging.
Sand Prawns Mitigate the Impact of Prolonged Drought on the Biology of a Temporary Open/Closed Estuary
Authors: Yekani Celiwe , Froneman William Pierre
Published: January 2025

The role of the sand prawn, Callichirus kraussi (Stebbing, 1900), as an ecosystem engineer was evaluated using a three-month-long caging experiment during a prolonged drought in the lower reaches of the temporarily open/closed Kasouga Estuary along the eastern seaboard of South Af-rica. The current study indicates that at intermediate densities, the burrowing activities of the sand prawn contributed to a significant increase in the microphytobenthic algal concentrations and a concurrent increase in the abundance and biomass of the macrofauna (P < 0.05 in all cases). The increase in macrofauna abundance and biomass could largely be ascribed to the elevated densities of the gastropod, Nassarius kraussianus which were sustained by the elevated microphytobenthic biomass. As such, the sand prawn Callichirus kraussi was established to be an important ecosystem engineer as the results indicate that intermediate densities of the sand prawn may locally con-tribute to increases in the biology even during those periods when the system is stressed, in this case, the prolonged drought.
Advancing Vocational Education: Experimental Insights into AI-VR Collaborative Training
Authors: Zhou Jingwei , Dai Wenhao , Xie Yong , Wu Pan , Shang Yutong , Fan Yourong
Published: January 2025

This study explores the application of Artificial Intelligence (AI) and Virtual Reality (VR) collaborative technology in virtual simulation training for job skills development, emphasizing its impact on skill acquisition, learning efficiency, and overall satisfaction. An experimental design was implemented to compare AI-VR-enhanced training with traditional methods, utilizing a sample of 100 participants who were assessed both before and after the training. The findings reveal that AI-VR training substantially enhanced participants’ job skills, accelerated learning, and increased overall satisfaction, especially in areas such as interview simulations and personalized feedback. These results underscore the potential of AI-VR technology to provide more effective and individualized training experiences than traditional methods. This research contributes to the expanding body of knowledge on the use of emerging technologies in education and suggests implications for improving job readiness and educational practices.
Percolation Analysis Of The Cosmic Microwave Background
Authors: Tozzi Arturo
Published: January 2025

We investigated the application of percolation theory to the Planck’s Cosmic Microwave Background (CMB) to analyze the connectivity and statistical properties of temperature anisotropies. Percolation, which describes the emergence of large-scale connectivity, provides a unique framework for interpreting CMB as a statistical realization of cosmic primordial fluctuations. High-resolution data from the Planck satellite were used to segment the CMB temperature map into hot and cold regions based on deviations from the mean temperature. Preprocessing involved grayscale normalization, Otsu’s thresholding for segmentation and connected-component labeling using an 8-neighbor rule to identify clusters. Results revealed a dominant hot cluster spanning over 1.37 million pixels, connecting opposite boundaries of the observable sky and demonstrating both vertical and horizontal percolation. Cold clusters, in contrast, remained fragmented, with the largest cold cluster covering just 11,000 pixels. Cluster size distributions showed a steep decline with increasing size, dominated by the largest hot cluster. Fractal analysis indicated a fractal dimension of 1.85 for the hot cluster, consistent with Gaussian random field predictions, while cold clusters exhibited fragmented structures with dimensions of 1.5 to 1.7. A critical threshold at a normalized intensity of 0.68 marked the merging of smaller clusters into the dominant structure. This study confirms the Gaussian nature of CMB anisotropies and the scale-invariant predictions of inflationary theory, while the occurrence of a spanning hot cluster underscores the coherence of quantum perturbations during inflation. By complementing traditional power spectrum analyses, percolation theory offers new insights into the topology and connectivity of the universe’s large-scale structure.