bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Cavitation Characteristics of Pump-Turbines Based on Mode Decomposition
Authors: Lu Jiaxing , Li Jiarui , Zhang Chuan , Zhou Yuzhuo , He Yanjun
Published: January 2025

Cavitation phenomena significantly impact pump-turbine performance, necessitating a thorough investigation of their characteristics. This study employs experimental and numerical simulations to evaluate pump-turbine performance, confirming the accuracy of the numerical methods used. The simulations analyze the cavitation flow field, comparing cavitation distribution and velocity streamlines at various stages. The Q-criterion and entropy production methods identify vortex structures and energy loss areas, revealing that increased cavitation leads to more vortices of varying scales, resulting in higher entropy production and reduced energy efficiency. Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) techniques further analyze the cavitation flow field over time, highlighting key energy loss regions and vortex dynamics. The findings indicate that lower-order POD modes correspond to dominant vortex structures, while increased cavitation leads to a rise in vortex numbers and complexity. DMD analysis shows varying evolution patterns of vortices across scales. This research provides valuable insights into the unstable characteristics of cavitation flow fields in pump-turbines under low-flow conditions.
Physical Activity and Technoaddiction: A Systematic Review
Authors: Estrada-Muñoz Carla , Meyer-Cohen Felipe , Garrido Vásquez Mauricio E. , Vega-Muñoz Alejandro , Salas Guzmán Natalia , Salazar-Sepúlveda Guido , Carmelo Adsuar Jose
Published: January 2025

The objective of this systematic review was to identify the relationship between technoaddiction and physical activity, focusing on the potential effects of the former on physical activity levels, particularly in the young population. This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligibility criteria were established using the PICOS tool (population, interventions, comparators, outcomes, and study type). Approximately 114 records on technology addiction were collected from the Web of Science database and 124 records from the Scopus database. After review of the studies, 5 articles analyzing the relationship between technology addiction and physical activity were selected. The results indicated that there is an association between technology addiction and low levels of physical activity in young people. Most of the selected studies suggest that an excessive use of electronic devices, related to addictive behavior, contributes to a decrease in physical activity participation. This review concludes that technoaddiction is related to a sedentary lifestyle in young people, with negative implications for their physical and mental health. Further longitudinal studies are needed to better understand these effects and their consequences, as precursors of possible diseases from a clinical medical point of view, but also from a social point of view, and to explore possible interventions.
Cyberbullying Perpetration and Socio-Behavioral Correlates in Italian and Spanish Preadolescents: A Cross-National Study and Serial Mediation Analysis
Authors: Colella Gianluca Mariano , Servidio Rocco , Palermiti Anna Lisa , Bartolo Maria Giuseppina , García Carrera Paula , Ortega Ruiz Rosario , Romera Eva M.
Published: January 2025

The spread of Information and Communication Technologies (ICTs) brought advantages and disadvantages, particularly impacting youth, daily involved in using Internet and social media applications. In preadolescents’ social development, problematic social media use (PSMU) and cyberbullying (CB) are potential risk factors across several countries. PSMU is defined as the lack of regulation of social media platforms’ use associated with negative outcomes in everyday life, while CB refers to using digital technology to harass, threaten, or embarass another person. Among preadolescents, CB perpetration is frequently associated with cybervictimization (CV) experiences. The underlying mechanisms that drive this relationship have received limited attention. The aim of the cross-national comparative study, rooted in the General Aggression Model, is to investigate the direct and indirect effects between cyberbullying perpetration and cybervictimization, testing a model involving PSMU and moral disengagement (MD) as serial mediators in this association. 895 Italian and Spanish preadolescents (M_age = 11.23, SD = 1.064) completed a self-report survey during school hours. Descriptive statistics were computed, and a serial mediation model was run. The results show that CV is positively associated to CB, and that PSMU and MD positively serially mediate the CV-CB link. This study’s insights suggest the need for tailored educational interventions targeting European youth, to promote more positive online social interactions and a safer digital environment.
Sparstolonin B Suppresses Proliferation, Modulates Toll-like Receptor Signaling and Inflammatory Pathways in Human Colorectal Cancer Cells
Authors: Çırçırlı Bürke , Yılmaz Çağatay , Çeker Tuğçe , Barut Zerrin , Kırımlıoğlu Esma , Aslan Mutay
Published: January 2025

Background: Sparstolonin B (SsnB), a natural compound with an-ti-inflammatory and anti-proliferative properties, was investigated for its effects on cell viability, apoptosis, and inflammatory pathways in human colorectal cancer cells (HCT-116) and healthy human fibroblasts (BJ). Phorbol 12-myristate 13-acetate (PMA), a tumor promoter and inflammatory activator, was used to stimulate prolifer-ation and inflammatory pathways. Methods: HCT-116 and BJ cells were treated with SsnB (3.125–50 μM) or PMA (1–10 nM) for 12–18 hours. Cell viability was assessed using viability assays, while apoptosis was evaluated by cleaved caspase-3 staining, Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), and flow cy-tometry. Proliferation was analyzed through proliferating cell nuclear antigen (PCNA) staining. Toll-like receptor (TLR) signaling, cytokine expression, and sphingolipid lev-els were measured using immunofluorescence, enzyme-linked immunosorbent assay (ELISA), and mass spectrometry, respectively. Results: SsnB significantly reduced HCT-116 cell viability in a dose- and time-dependent manner, with minimal effects on BJ cells. PMA stimulated proliferation, PCNA expression, and inflammatory markers, including TLR2, TLR4, MyD88, phosphorylated extracellular signal-regulated kinase (p-ERK), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kB), and cytokines TNF-α (tumor necrosis factor-alpha), IL-1β (interleukin-1 beta), IL-6 (inter-leukin-6). SsnB suppressed PMA-induced effects and promoted apoptosis in HCT-116 cells, increasing cleaved caspase-3, TUNEL staining, and ceramide levels while de-creasing S1P (sphingosine-1-phosphate) and C1P (ceramide-1-phosphate). Conclu-sions: SsnB selectively inhibits proliferation, induces apoptosis, and modulates in-flammatory and sphingolipid pathways in colorectal cancer cells, with minimal tox-icity to healthy fibroblasts, supporting its potential as a targeted therapeutic agent.
The Combined Assessment of CTC and ESR1 Status in Liquid Biopsy Samples Enhances the Clinical Value of Liquid Biopsy in Metastatic Breast Cancer
Authors: Szostakowska-Rodzos Malgorzata , Grzybowska Ewa A. , Mysliwy Izabella , Zub Renata , Jagiello-Gruszfeld Agnieszka , Konieczna Aleksandra , Fabisiewicz Anna
Published: January 2025

Monitoring of metastatic breast cancer (mBC) is an important issue in the clinical management of patients. Liquid biopsy has become a non-invasive method for detecting and monitoring cancer in body fluids. The presence of circulating tumor cells (CTC) and circulating tumor DNA (ctDNA) in peripheral blood indicates poor prognosis and may contribute to early detection of progression, but is still not routine clinical management. The main objective of this study was to estimate the frequency and clinical value of the ESR1 and PIK3CA mutations identified in circulating free DNA (cfDNA.) The second goal was to evaluate whether simultaneous evaluation of CTC and mutation status in cfDNA increases the prognostic value of liquid biopsy. The results of the analysis of the CTC number and ESR1 and PIK3CA mutations in blood collected from 179 patients with metastatic breast cancer show that ESR1 mutations are more frequent in patients with advanced luminal breast cancer regardless of the type of the treatment. ESR1 mutations appear primarily during the progression, as no mutations were found in primary tumor samples. The main conclusion of the study is that combined assessment of CTCs and ESR1 status in liquid biopsy may improve the prognostic value of liquid biopsy.
Effect of Lime, Mineral Fertilizer and Manure on Soil Characteristics and Yield of Four Maize Hybrids
Authors: Dugalić Marijana , Rakočević-Bošković Ljiljana , Latković Dragana , Rajičić Vera , Terzić Dragan , Životić Ljubomir
Published: January 2025

Pseudogley soils in Serbia are characterized by poor chemical and physical properties that limit maize yields. Nevertheless, they are still used on large areas due to their favourable topographic position and lack of better quality soils. It is common practice to regularly apply mineral fertilizers to these soils, but this does not increase maize yields to a satisfactory level, although mineral fertilizer doses are increased. At the same time, the inappropriate application of mineral fertilizers deteriorates soil chemical properties. Lime is only moderately used in Serbia despite its known benefits, whereas manure is not satisfactorily used. Therefore, a two-factorial experiment set up as a randomized block design with three replications was conducted near Kraljevo, Serbia to investigate the effect of mineral fertilizers, manure and lime on maize growth. The experiment included three fertilization regimes: F – application of common fertilizer doses, LF – application of the same fertilizer doses with 3 t・ha−1 of lime, and LMF – application of the same fertilizer doses with lime and 30 t・ha−1 of manure. The response of four maize hybrids to different fertilization practices was investigated. The soil was acid, poor in humus, and contained an increased content of mobile aluminium. There was a significant increase in the 3-year average yield of all hybrids in LMF- and LF-treatments compared with F-treatment, 30.7 and 25.6%, respectively. The increase in yield was accompanied by an improvement in soil chemical properties after three years, i.e. increased soil reaction in LF- and LMF-treatments, increased content of available phosphorus, an increase in base saturation by 61 and 75%, and aluminium immobilization by 2.55 and 4.19 times, respectively, compared to initial conditions. The hybrid NS 640 demonstrated the best results when only mineral fertilizers were used, which indicated its tolerance to the unfavourable soil chemical properties and suggested that it can be recommended for growing on pseudogleys without applying reclamation practices. The same hybrid achieved significantly lower yields when lime and manure were used. The hybrids NS 6030 and ZP 606 achieved statistically significantly higher yields than the other hybrids when lime and manure were applied, which indicates that adequate fertilization coupled with soil improvement practices should be used in order to achieve satisfactory yields. The obtained results showed that liming can be considered as a longer-term sustainability practice in maize production in Serbia on pseudogley soils, and that there is an array of maize hybrids which can be grown depending on management strategies applied.
The Hidden Roles of Receptors in Intercellular Synchronization and Its Mathematical Generality
Authors: Nagano Seido
Published: January 2025

Dictyostelium discoideum (Dicty) is a type of unicellular amoeba, but when starved, a large number of amoebas gather together to form a multicellular organism. In this review, we first introduce our cellular dynamics method for Dicty, including intracellular biochemical reactions. We then introduce a number of hidden roles of receptors that have been revealed by our simulation studies. Of particular note is that receptor-receptor interactions are strengthened under starvation conditions, resulting in diverse dynamic functions that cannot be predicted from the action of a single receptor, such as intercellular synchronization. Furthermore, we introduce a mathematical generalization of Dicty’s receptor function and demonstrate its potential applications not only in the biological field but also in the engineering field.
Developing a Comprehensive Index for Beaches (CIB) to Enhance Sustainability and Visitor Experience through Holistic Monitoring
Authors: Basurto-Cedeno Estefania , Pennington-Gray Lori , Basurto Xavier
Published: January 2025

This study presents the development of the Comprehensive Index for Beaches (CIB), a holistic tool designed to address the limitations of traditional beach monitoring systems by integrating social and ecological dimensions within a socio-ecological systems (SES) framework. While existing certification schemes predominantly emphasize physical parameters such as water quality and sand cleanliness, they often overlook critical social factors like safety perceptions, overcrowding, and user behavior. This oversight is significant because these social factors play a vital role in shaping visitor satisfaction, supporting community well-being, and ensuring the long-term sustainability of the destination. The CIB addresses this gap, offering a multidimensional approach that includes environmental, infrastructural, social, and safety-related dimensions. Through a multi-stage methodology, the index was developed and validated using Exploratory Factor Analysis (EFA) with data from over 600 beach visitors across key coastal destinations. Results indicate the robustness of the CIB in capturing both natural and social components, underscoring its theoretical alignment with SES principles and its practical potential to enhance beach management. By prioritizing user perceptions and behaviors alongside ecological parameters, the CIB provides an affordable and adaptable alternative to traditional schemes, fostering improved safety, user satisfaction, and sustainability in diverse beach contexts.
Kruskal-Szekeres Equivalent Coordinates for the FRW Metric
Authors: Laforet Christopher
Published: January 2025

In this paper, the flat FRW metric coordinates are transformed into Kruskal-Szekeres equivalent coordinates. In doing so, it is shown that the FRW metric occupies regions II and IV of the Kruskal-Szekeres coordinate chart beyond the Schwarzschild singularity and that the Big Bang and Schwarzschild singularities are coincident on the chart. It also reveals that the FRW spacetime has a PT symmetric mirror twin. Given that this twin moves in the opposite direction of time on the diagram (the future-pointing arrows for each twin point in opposite directions on the diagram), we conjecture that this 'Antiverse' is made of anti-matter, resolving the paradox of the missing anti-matter in our Universe.
An Improved Cole-Cole Model for Characterizing In Vivo Dielectric Properties of Lung Tissue at Different Tide Volumes: An Animal Study
Authors: Qin Yangchun , Zhang Liang , Han Tixin , Liu Yifan , Liu Xuechao , Fu Feng , Wang Hang , Qu Shuoyao , Zhao Zhanqi , Yang Lin , Dai Meng
Published: January 2025

Objective: The air content within the lungs directly influences the dielectric properties of lung tissue; however, existing studies have been conducted under ex vivo conditions and without quantitatively controlling air volume. The study aims to develop an improved model using in vivo measurements to accurately characterize the dielectric properties of rabbit lung tissue across various tidal volumes, based on the Kramers-Kronig (KK) relationships. Methods: In this study, six sets of different tidal volumes (30, 40, 50, 60, 70, 80 mL) were set in the frequency band of 100 MHz~1 GHz to analyze the trend of the dielectric properties, and the dielectric parameters were systematically constructed under the conditions of different tidal volumes. Results: It was found that the conductivity and permittivity of rabbit lung tissue showed a decreasing trend with increasing tidal volume in the measuring frequency band. The traditional Cole-Cole model has limitations in simulating the dielectric properties of in vivo lung tissues. Therefore, by refining and optimizing the model based on the KK relationships, while ensuring physical plausibility, the study successfully reduced the average error between the measured data and the model predictions to less than 5%. Conclusions: It lays the groundwork for investigating the relationship between total air volume within the lungs and their dielectric properties in vivo.
Cryptotanshinone Alleviates Nonalcoholic Fatty Liver Disease by Inhibiting NPC1L1-Mediated Intestinal Cholesterol Absorption
Authors: Xia Donghai , Jiang Xuan , Xie Xiaomin , Zhou Han , Yu Dongping , Jin Gaowa , Ye Xianlong , Zhu Shenglong , Guo Zhimou , Liang Xinmiao
Published: January 2025

Danshen, a well-known traditional Chinese medicine (TCM), has gained increasing attention due to the protective effects on nonalcoholic fatty liver disease (NAFLD). However, the molecular basis and working mechanism remain to be elucidated. Niemann-Pick C1-like 1 (NPC1L1) is the crucial target mediating intestinal cholesterol absorption and its inactivation has been shown to alleviate NAFLD. Thus, this study aimed to screen NPC1L1 inhibitors in Danshen and investigate the therapeutic effects on NAFLD. A high-throughput screening platform based on the stable Caco2 cell lines expressing human-NPC1L1 (hL1-Caco2) was developed, and we found that tanshinones (Tans), the liposoluble components in Danshen, inhibited NPC1L1-mediated cholesterol absorption in hL1-Caco2 cells. The hepatic steatosis in high-fat diet (HFD)-fed mice was also reduced by Tans treatment. To find the active compounds in Tans, activity-oriented separation was performed by combining the high-throughput screening platform and two-dimensional chromatographic techniques. Ultimately, cryptotanshinone (CTS) was identified as a novel NPC1L1 inhibitor and profoundly decreased hepatic steatosis in HFD-fed mice. The binding modes and stability between CTS and NPC1L1 were confirmed by molecular docking and dynamics simulation. Taken together, our findings demonstrate for the first time that CTS, the liposoluble compound in Danshen, alleviates NAFLD by inhibiting NPC1L1-mediated intestinal cholesterol absorption, suggesting that inhibition of NPC1L1 with CTS may be a potential strategy for the treatment of NAFLD.
MicroRNAs in the Mitochondria-Telomere Axis: Novel Insights into Cancer Development and Potential Therapeutic Targets
Authors: Cruz-Ramos José Alfonso , de la Mora-Jiménez Emmnauel , Llanes-Cervantes Beatriz Alejandra , Damián-Mejía Miguel Ángel
Published: January 2025

The intricate molecular interactions between mitochondria and telomeres, establish networks where different RNA species (miRNA or microRNAs) act as a key regulators in the carcinogenesis and tumor progression cascade. Recent evidence has illuminated a sophisticated molecular dialogue between mitochondria and telomeres that regulate cellular metabolism, growth, and apoptosis. This review focuses on the specific functions of diverse RNA species in cancer development and their potential application as biomarkers or therapeutic agents.
CASPT2 Study of the Unimolecular Reactions of Nitromethane. A Look at the Roaming Reactions in the Decomposition of Nitromethane: An Exergonic Route at High Temperatures
Authors: Soto Juan
Published: January 2025

In this work, we have studied the main decomposition reactions on the ground state of nitromethane (CH3NO2) with the CASPT2 approach. The energetics of the main elementary reactions of the title molecule have been analyzed on the basis of Gibbs free energies obtained from standard expressions of Statistical Thermodynamics. In addition, it is described a mapping method (orthogonalized 3D-representation) for the potential energy surfaces (PESs) by defining an orthonormal basis consisting of two Rn orthonormal vectors (n, internal degrees of freedom) that allows to obtain a set of ordered points in the plane (vector subspace) spanned by such a basis. Geometries and harmonic frequencies of all species and orthogonalized 3D-representations of the PESs have been computed with the CASPT2 approach. It is found that all of the analyzed kinetically controlled reactions of nitromethane are endergonic. For such a class of reactions, the dissociation of nitromethane into CH3 and NO2 is the process with lower acctivation energy barrier (G), that is, the C-N bond cleavage is the most favorable process. In contrast, there exists a dynamically controlled process that evolves through a roaming reaction mechanism and is an exergonic reaction at high temperatures: CH3NO2 [CH3NO2]* [CH3ONO]* CH3O + NO. The above assertions are supported by CASPT2 mappings of the potential energy surfaces (PESs) and semiclassical trajectories obtained by "on-the fly" CASSCF molecular dynamics calculations.
Cosimulation of Interconnection between Smart Power Grid and Smart Cities Platform via massive Machine Type Communication
Authors: Rodrigues Luiz Henrique Neves , Almeida Carlos Frederico Meschini , Kagan Nelson , Rosa Luiz Henrique Leite , dos Santos Milana Lima
Published: January 2025

With the advent of Industry 5.0, the electrical sector has been endowed with intelligent
devices that are propelling high penetration of distributed energy microgeneration, VPP, smart buildings, smart plants and imposing new challenges on the sector. This new environment requires a smarter network, including transforming the simple electricity customer into a "smart customer" who values the quality of energy and its rational use. SPG (Smart Power Grid) is the perfect solution for meeting these needs. It's crucial to understand energy use to guarantee quality of service and meet data security requirements. The use of simulations to map the behavior of complex infrastructures is the best strategy because it overcomes the limitations of traditional analytical solutions. This article presents the ICT laboratory structure developed within the Department of Electrical Engineering of the Polytechnic School of the Universidade de São Paulo (USP). It is based on an architecture that utilizes LTE/EPC wireless technology (4G, 5G, and B5G) to enable machine-to-machine communication (mMTC) between SPG elements using edge computing (MEC) resources and those of smart city platforms. We evaluate this proposal through simulations using data from real and emulated equipment and co-simulations shared by SPG laboratories at POLI-USP. Finally, we present preliminary results of integration of the power laboratory, Network Simulation (ns-3), and Smart City Platform (InterSCity) for validation and testing of the architecture.
Parental Low Level of Education and Single-Parent Families as Predictors of Poor Control of Type 1 Diabetes in Children Followed in French Guiana
Authors: Boyom Samou Fantcho Christelle , Njuieyon Falucar , Aigoun Nadjia , Elenga Narcisse
Published: January 2025

This study aimed to determine the incidence of type 1 diabetes in French Guiana and describe the social profiles of the patients. We conducted a multicenter cross-sectional study of children under 18 years who were diagnosed with type 1 diabetes and followed up from 2002 to 2021. Over a 20-year period, 48 children under 18 years with type 1 diabetes living in French Guiana were included in the study, out of a total of 59 cases. The study included 26 girls and 22 boys. The incidence rate was 5.9 per 100,000 people in 2018. The mean age at diagnosis was 8.52 years. The age group 5-9 years was the most affected (43.7%). Of these children, 56.2% lived in single-parent households. 35% of the parents had primary education. Of the children, 29.1% were from families with no resources. Diabetes was diagnosed by ketoacidosis in 56.2% of the patients, which was more common than polydipsia in 25% of the patients. Forty% of the patients had an HbA1c >9%. The imbalance (HbA1c>9%) was greater in children whose parents had a low level of education (18.7%) compared with 6% of children whose parents had a university degree and in children from single-parent families (22.9%) compared with children whose parents lived in couples (8%). The 10-14 age group (18.7%) had the highest imbalance. 92% of the patients were treated with a multi-injection insulin regimen, compared to 8% who used an insulin pump. The only chronic complications were retinopathy and diabetic nephropathy.
Improving the Accuracy of Tree Species Mapping by Sentinel-2 Images Using Auxiliary Data – A Case Study of Slyudyanskoye Forestry near Lake Baikal
Authors: Popova Anastasia
Published: January 2025

Timely and accurate knowledge of forest composition is important for the conservation and management of ecosystems. Information on the land cover can be obtained by classifying satellite images. Still, satellite optical data are not always sufficient to get results of the required accuracy because of the similarity of spectral characteristics of tree species. One approach to improve the accuracy of tree species mapping is to use auxiliary data such as climatic, soil, topographic, and vegetation indices. The paper presents the study results for the Slyudyanskoye forestry of the Irkutsk region near Lake Baikal. A set of 101 features was collected, including both Sentinel-2 satellite images and data on soils, climate, forest canopy height, and topography. The spectral characteristics of five tree species at key sites were determined for the training dataset. Polygons corresponding to these species and common land cover types (land, grass, water, and clouds) were marked on the original image. Forest classification was performed using the Random Forests machine learning method. The paper presents classification results for eight sets of variables: spectral bands, their combinations with each type of auxiliary data, all 101 features, and a reduced set of 98 features. The results showed a strong influence of the auxiliary data on the performance of the tree species classification model – the overall accuracy increased from 49.59% for only Sentinel-2 bands to 80.69% for the set of 98 selected features. The addition of climate and soil features caused the greatest increase in accuracy, while the most important variables were the B11 band, forest canopy height, and growing season length. The result shows that auxiliary environmental data improves the accuracy of tree species mapping from satellite images.
Pro-Environmental Behavior at Work: The Psychological and Social Drivers Behind Recycling in the Workplace
Authors: Zibarras Lara , Goss Lily
Published: January 2025

This study investigates the psychological and social factors that influence recycling behavior within UK organizations. Understanding these drivers is crucial for developing effective workplace recycling interventions, and contributing to organizational responses to climate change. An online survey was administered to 210 employees across various UK organizations. The data were analyzed using structural equation modelling (SEM), which explored the relationships between values, beliefs, norms, and recycling behavior; and explained 18% of the variance in recycling behavior. The study found that biospheric values significantly predicted environmental beliefs; whilst environmental beliefs influenced personal norms. In turn, personal norms were found to predict recycling behavior in the workplace. However, neither global norms nor organizational norms predicted personal norms or recycling behavior. The findings suggest that psychological drivers are more influential in determining recycling behavior than social norms, supporting the value-belief-norm theory. This research contributes to the limited body of knowledge on workplace recycling by highlighting the importance of psychological factors over social norms in influencing recycling behavior. It underscores the need for further research into how organizational norms impact recycling and offers practical recommendations for enhancing recycling initiatives within organizations.
Utilizing the Attention Mechanism for Accuracy Prediction in Quantized Neural Networks
Authors: Wei Lu , Ma Zhong , Yang ChaoJie , Yao Qin , Zheng Wei
Published: January 2025

Quantization plays a crucial role in deploying neural network models on resource-limited hardware. However, current quantization methods have issues like large accuracy loss and poor generalization for complex tasks. These issues pose obstacles to the practical application of deep learning and large language models in smart systems. The main problem is our limited understanding of quantization's effect on accuracy, and there is also a need for more effective approaches to evaluate the performance of the quantized models. To address these concerns, we develop a novel method that leverages the self-attention mechanism. This method predicts a quantized model's accuracy using a single representative image from the test set. It utilizes the Transformer encoder and decoder to perform this prediction. The prediction error of the quantization accuracy on three types of neural network models is only 2.35%. The proposed method enables rapid performance assessment of the quantized models during the development stage, thereby facilitating the optimization of quantization parameters and promoting the practical application of neural network models.
Unlocking Subsurface Geology: A Case Study with Measure-While-Drilling Data and Machine Learning
Authors: Goldstein Daniel , Aldrich Chris , O'Connor Louisa , Shao Quanxi
Published: January 2025

Bench-scale geological modeling is often uncertain due to limited exploration drilling and geophysical wireline measurements, reducing production efficiency. Measure-While-Drilling (MWD) systems collect drilling data to analyze mining blast hole drill rig performance. Early MWD studies focused on penetration rates to identify rock types. This paper investigates Artificial Intelligence (AI)-based regression models to predict geophysical signatures like density, gamma, magnetic susceptibility, resistivity, and hole diameter using MWD data. Machine Learning (ML) models evaluated include Linear Regression (LR), Decision Trees (DTs), Support Vector Machines (SVMs), Random Forests (RFs), Gaussian Processes (GP), and Neural Networks (NNs). An analytical method was validated for accuracy, and a three-tier experimental method assessed the importance of MWD features, revealing no performance loss when excluding features with less than 2% importance. RF, DTs, and GPs outperformed others, achieving R² values up to 0.98 with low RMSE, while LR and SVMs showed lower accuracy. NN performance improved with larger datasets. The study concludes DT, RF, and GP models excel in predicting geophysical signatures. Model selection depends on computational resources and application needs, offering valuable insights for real-time orebody analysis using AI. These findings could be invaluable to geologists who wish to utilize AI techniques for real-time orebody analysis and prediction.
Analysis of the Spatio-Temporal Coupling and Coordination Relationship Between Agricultural Eco-Efficiency and Economic Development Level: A Case Study of 75 Cities in East China
Authors: Jiang Beiying , Zheng Rongrong , Zeng Ni , Liu Ting , Zhang Shiting , Liu Deyan , Wang Lirong , Li Shuangfu
Published: January 2025

Agricultural eco-efficiency is a crucial indicator for assessing the coordinated development of agriculture and the environment. Studying its interaction with economic development levels is beneficial for promoting high-quality agricultural development. Based on panel data from 75 cities in East China from 2000 to 2021, this paper used the SBM model to measure agricultural eco-efficiency, conducted spatial correlation analysis with ArcGIS, calculated economic development level’s scores by the entropy method, assesseed coupling coordination degrees and discussed changes in coupling types by the Tapio decoupling-based coupling index. Results showed that: (1) From 2010 to 2021, overall agricultural eco-efficiency and economic development levels in East China increased annually. Jiangsu Province exhibited a significant gap in agricultural eco-efficiency compared to Anhui and Shandong; similarly, the mean difference in economic development levels widened. (2) In terms of spatial correlation, agricultural eco-efficiency increased from northwest to southeast in East China, with Moran’s I index showing a "decrease-increase-decrease" trend. Economic development level demonstrated spatial agglomeration with closely linked relationships. (3) From the perspective of coupling coordination, urban agglomerations in East China shifted from mostly imbalance to overall coordination in later stages, indicating continuously improving coupling relationships. Therefore, cities in East China should strengthen inter-regional connections, adopt rational layouts, pursue sustainable development, and achieve a win-win situation for ecological environmental protection and economic development.
Multidimensional Analysis of Clinicopathological Features on the Prognosis of Epithelial Ovarian Cancer Patients Who Received Neoadjuvant Chemotherapy
Authors: Kotekoglu Demet , Akay Seval , Unal Olcun Umit
Published: January 2025

Background/Objectives: Epithelial ovarian cancer (EOC) has one of the highest mortality rates among cancers affecting women. Herein we aimed to describe how to estimate the prognosis for EOC with clinicopathological features. Methods: This study included 86 patients with stage III and IV epithelial ovarian cancer who received neoadjuvant chemotherapy and who had been followed up at least one year. Prognostic factors and their impact on survival were evaluated. FIGO staging of the disease, body mass index (BMI), histological subtype, menopause status, ECOG performance status, genetic testing with variations, residual disease, ascites, serum Ca125 levels, platelets, MPV, neutrophils, lymphocytes, monocytes, lymphocyte/monocyte ratio, CRP, protein, LDH levels, albumin, CRP/albumin ratio, modified Glasgow prognostic score (mGPS), prognostic nutritional index (PNI), systemic inflammatory response index (SIRI), systemic inflammation index (SII), pan-immune inflammation value (PIV), relapse status, type and number of neoadjuvant chemotherapy were evaluated. Results: The median age of the patients was 60.0 years. Median overall survival (OS) was 55.1±8.7 months and median disease-free survival (DFS) was 36,8±5,0 months. No significant differences in survival were observed based on age, BMI, or menopausal status. However, patients with an ECOG score of 0 had significantly longer OS compared to those with an ECOG score of 1 (p
How ChatGPT’s Hallucinations (Compared to Gemini’s) Impact Text Summarization with Literary Text
Authors: Delmonte Rodolfo , Marchesini Giulia , Busetto Nicolò
Published: January 2025

In this paper we explore ChatGPT's ability to produce a summary, a precis and/or an essay on the basis of excerpts from a novel – The Solid Mandala - by Noble Prize Australian writer Patrick White. We use a number of prompts to test a number of functions related to narrative analysis from the point of view of the “sujet”, the “fable”, and the style. In the paper, we illustrate extensively a number of recurrent hallucinations that can badly harm the understanding of the contents of the novel. We made a list of 12 different types of mistakes or hallucinations we found GPT made. We then tested Gemini for the same 12 mistakes and found a marked improvement in all critical key issues. The conclusion for ChatGPT is mostly negative. We formulate as an underlying hypothesis for its worse performance, the influence of vocabulary size which in Gemma 2 is 7 times higher than in GPT.
Mathematical Duality: The Ramsey Approach
Authors: Bormashenko Edward
Published: January 2025

The meta-mathematic approach to the mathematical duality is introduced. Systems of mathematical theorems/propositions related each to other by the mutually exclusive relations of “duality” and “non-duality” are addressed. Theorems/propositions are considered as the vertices of the graph, and the relations of duality appear as the links connecting the vertices. Thus, the bi-colored, complete graph emerges. The coloring procedure is exemplified with the theorems of projective geometry. It is demonstrated, that that the graph built of the quartet of vertices/theorems of projective geometry, which contains no mono-colored triangle is possible. The monochromatic triangle will necessarily appear in the graph containing five vertices/theorems of projective geometry. The emerging graph is different from the traditional Ramsey graph. The graph representation is easily generalized for any system (finite or infinite) of theorems/propositions in which the relations of duality are established.
Collaboration as a Driver for Supply Chain Resilience: Insights from Emerging Technology Integration
Authors: Holloway Samuel
Published: January 2025

This research investigates the critical role of collaboration as a driver of supply chain resilience, particularly in the context of emerging technology integration. In an increasingly complex global marketplace, organizations face various disruptions that challenge their operational continuity and efficiency. Through qualitative analysis, the study emphasizes the importance of establishing trust and long-term relationships among supply chain partners, which facilitates open communication and joint problem-solving. The integration of advanced technologies, such as blockchain and the Internet of Things (IoT), significantly enhances information transparency and data-sharing capabilities, enabling organizations to respond more effectively to disruptions. However, barriers to technology adoption, including high implementation costs and data security concerns, pose significant challenges, particularly for smaller firms. The research also highlights the necessity of flexibility and adaptability, with diversified supplier networks and alternative logistics strategies enhancing the capacity to manage risks. Leadership and governance emerge as pivotal factors in fostering collaboration and guiding resilience strategies, with a focus on continuous innovation and sustainability. Looking forward, the study underscores the need for ongoing digital transformation and industry-wide collaboration to build resilient supply chains that can withstand future challenges. Ultimately, the findings provide valuable insights into the multifaceted dynamics of collaboration and resilience in supply chain management, offering a framework for organizations to navigate an evolving business landscape.
From Developer Assistance to Complete Development Automation: A Workflow-Centric Framework for AI Code Generation
Authors: Sonkin Vladimir , Tudose Cătălin
Published: January 2025

Recent advancements in AI-assisted coding tools, such as GitHub Copilot and Cursor, have introduced real-time assistance by suggesting code snippets and improving productivity in isolated coding tasks. However, their scope remains limited to snippet-level assistance, lacking the ability to automate the entire software development lifecycle. This paper proposes a workflow-centric framework for AI-driven code generation that addresses this gap by enabling end-to-end automation—from requirements gathering and code generation to testing, refactoring, and deployment. The framework introduces key components, including feeding the necessary context to LLMs, automatic parsing of generated code, and automatic rollbacks to ensure reliability and scalability. By adopting these foundational building blocks, developers can automate multi-step workflows and streamline repetitive tasks. The reference implementation, JAIG (Java AI-powered Generator), serves as a proof of concept, showcasing how the framework can be implemented. JAIG demonstrates the potential for AI to reshape software engineering practices by moving beyond snippet suggestions toward comprehensive development automation of repetitive tasks.
Fish assemblage distribution along a stretch of neotropical urban river
Authors: Cavallari Daiane Elen , Soinski Thais Aparecida Soinski , Pinheiro Lúcio Antonio Stefani , Smith Welber Senteio
Published: January 2025

The objectives of this study were to evaluate some descriptors of fish assemblages in different stretches of a Neotropical urban river, located in the municipality of Sorocaba, São Paulo, Brazil, and to evaluate possible differences between them and the influence of seasonality. Collections were carried out between June/2019 and February/2020. The results obtained in relation to the physical and chemical variables of the water indicate that this is a river with the urban river syndrome and that seasonality has a relevant influence. The fish assemblage showed homogeneity in relation to richness and differences regarding diversity, dominance, and abundance in the stretches of the river studied. The multivariate ANOSIM analysis confirmed that the dry and rainy months are not similar to each other in terms of fish composition. The canonical correlation analysis explained 85.58% of the total data variation, indicating that water temperature and rainfall are important factors that influence species composition. It was concluded that the descriptors of the fish community in the studied stretches (richness, abundance, diversity, and dominance) undergo changes due to seasonal variations, which in urban rivers can be amplified, due to the consequences of the loss of vegetation cover, increased soil impermeability, reduction in the water infiltration rate, surface runoff, and maximum flows.
Vulvar mastocytosis: atypical location
Authors:   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Ivanovskaya T.N. , Sibirskaya E.V. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation,   Russian University of Medicine, Moscow, Russian Federation,   Russian Children’s Clinical Hospital, Moscow, Russian Federation, Tarasenko A.I. ,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation, Karachentsova I.V. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Fadeeva D.V. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Bikhert I.I. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Melenchuk I.A. ,   Russian Children’s Clinical Hospital, Moscow, Russian Federation, Annakulieva A.S. ,   Russian Children’s Clinical Hospital, Moscow, Russian Federation, Kirillova Yu.A. ,   Russian Children’s Clinical Hospital, Moscow, Russian Federation, Minaeva S.S. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation
Published: January 2025

Mastocytosis represents a heterogeneous group of disorders characterized by excessive proliferation and accumulation of clonal (neoplastic) mast cells (MCs) in one or more organ systems. The differential diagnosis of mastocytosis is based on the evaluation of complaints, the presence of specific symptoms related to mast cell activation syndrome, and the assessment of symptom severity. In vulvar mastocytosis, there may be edema, hyperemia, and pain in the vulva associated with spontaneous or allergen-induced histamine release. Of importance is the detection of non-specific markers: blood tryptase and products of histamine metabolism in the urine, which may be increased either due to elevated levels of basophils, or because of their pathologic activation. The mandatory diagnostic method is biopsy and immunohistochemistry for CD117, CD25, CD2, CD30 markers, tryptase levels in a sample, and determination of specific, more pronounced basophil staining. In recent years, the detection of KIT D816V mutation by sensitive allele-specific quantitative PCR has been a reliable screening method. This clinical case demonstrates the relevance of the problem of mastocytosis and its differential diagnosis in medical practice, since this disease is quite rare and causes diagnostic difficulties.
Key words: mastocytosis, cutaneous mastocytosis, vulvar neoplasms, c-KIT
Ribosomal DNA copy number variations in maternal and fetal cells in normal pregnancy and missed miscarriage
Authors:   Research Centre for Medical Genetics, Moscow, Russian Federation, Veiko N.N. , Ershova E.S. ,   Research Centre for Medical Genetics, Moscow, Russian Federation, Kostyuk S.V. ,   Research Centre for Medical Genetics, Moscow, Russian Federation, Porokhovnik L.N. ,   Research Centre for Medical Genetics, Moscow, Russian Federation, Kostyuk E.V. ,   Research Centre for Medical Genetics, Moscow, Russian Federation, Klimenko M.P. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Gerasimova A.A. ,   Patrice Lumumba Peoples' Friendship University of Russia (RUDN), Moscow, Russian Federation, Usef O.V. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Klimenko P.A. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Kurtser M.A. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation
Published: January 2025

Objective. To analyze the hypothesis of the effect of rDNA copy number in the maternal and fetal genomes on embryogenesis.
Patients and methods. The study included 35 patients: 20 patients with missed miscarriage at a gestational age of 5–13 weeks. An anembryonic pregnancy was registered in 5 of them, and the remaining 15 had missed miscarriage of unknown reason (group I); 5 patients underwent termination for medical reasons (teratogenic effects) at 13–21 weeks of gestation (group II). The control group consisted of 10 healthy patients who underwent induced abortion on their own accord at 8–11 weeks of gestation (group III). The embryonic tissue (sample E), decidual membrane tissue (sample D) and blood from the median cubital vein (sample C) were collected from all patients during the operation. DNA isolation was performed by organic solvent extraction. The number of rDNA copies in DNA was determined by non-radioactive quantitative hybridization (NQH).
Results. The rDNA content was similar in blood cells and decidual cells of the same female organism. Missed miscarriage was associated with a pronounced imbalance in rDNA content in the embryonic and maternal genomes. In most cases, the embryonic genome contained significantly fewer rDNA copies than the maternal genome and the genomes of other embryos that did not spontaneously abort.
Conclusion. The determination of rDNA copy number in the genomes of potential parents and subsequent modeling of rDNA copy number in the embryo may help in identifying the causes of infertility in couples.
Key words: anembryonic pregnancy, decidual membrane, missed miscarriage, rDNA, teratogenic effect, IVF, embryo