bluuebunny/crossref_metadata_2025 huggingface dataset:
Production of biomedical filament and mechanical testing of samples produced by FFF additive technology
Authors: Balint Tomas , Zivcak Jozef , Kohan Miroslav
Published: September 2024

This scientific study, which brings completely new results, is characteristically divided into chapters where the authors deal with the extrusion mechanism, filament production, 3D printing of samples, and mechanical testing of samples. This research deals with a current topic in the field of production and testing of filaments composed of biodegradable polymers based on custom made PLA/PHB material. The authors of this study managed to produce and test a new type of biomaterial in the form of a filament called PLA BIOPOLYMER 20. The individual components forming this new type of material are described in the detailed statistics of this scientific article. After optimizing the parameters during single-screw extrusion on a filament maker, where the extrusion temperatures were set to 180° and the subsequent additive manufacturing of samples using FFF technology was started, where "dogbone type 5A" samples were printed. The authors managed to optimize the parameters of additive manufacturing and achieve significant results, which are also represented by individual printed samples, intended for subsequent mechanical testing, specifically for tensile testing. Important testing of materials for mechanical tensile tests was carried out according to generally applicable standards STN EN ISO 527-2, on the Inspekt table 5kN device. By mechanical testing, the individual stresses of the samples were determined. The average stress was 5.28 MPa. The authors compared the values obtained with samples printed from the new type of PLA BIOPOLYMER 20 material with the tension obtained with samples printed from pure PLA filament without admixture of other components. These tests are intended to determine the future application of the given material. This article brings new knowledge in the given field.
Modern Architecture for the Brazilian Dictatorship: Ambivalences in the São Paulo Military Headquarters, Ibirapuera Park (1965)
Authors: Próspero Victor
Published: September 2024

This article examines the relationship between modern architecture and the Brazilian Military Dictatorship (1964-1985) in the case of the military headquarters designed by communist architects for a violently anti-communist regime: the Second Army Headquarters in Ibirapuera, a project by a team led by the architect Paulo Bastos, a case with strong symbolic entanglements in the heart of São Paulo. Although the architects were against the regime and were the target of the dictatorship’s repression, a close look at this case reveals nuances in the actors' reactions to that context, as well as a more complex relationship between architecture and authoritarianism, which goes beyond the binary lenses of resistance or collaboration. This case is an important node to reflect on the complex relationships between architecture and politics, especially under authoritarian regimes. It also helps to reflect on modern architecture itself, the immanent contradictions of its objects, and the ambivalences of the epistemological investments that underpin it.
Brothers Stepan and Ivan Kondurushkin
Authors:   A.M. Gorky Institute of World Literature of the Russian Academy of Sciences, Gevorkyan Armen V. , Stroganov Mikhail V. ,   A.M. Gorky Institute of World Literature of the Russian Academy of Sciences
Published: September 2024

The article highlights the hitherto understudied connection between the biography and literary activity of law enforcement officer of Soviet Russia Ivan Kondurushkin and the work of his brother, writer Stepan Kondurushkin. The research partially reconstructs Ivan’s writing fate, which began with the mediation of his brother back in pre-revolutionary times in collaboration with the children’s magazine “Tropinka.” The article raises the question about the relationship between the literary heritage of the Kondurushkin brothers and the fact of inclusion of Stepan’s works in Ivan’s collection of stories “In the Snowy Mountains” (1930). The literary fate of the story “Gandeikin’s Life” (1909), republished in 1930 under the title “Vanka the Prisoner,” is examined in detail. Analysis of the work by Ivan reveals that the facts of the biography of the writer’s brother, Stepan Kondurushkin, formed the basis of the story of the main character. The article provides a comparative analysis of two editions of the story by Ivan, reveals elements of autobiography in the story “Vanka Prison,” and emphasizes the author’s changes in social aspects according to the new socio-political situation in Russia. The conclusion emphasizes that the presence of brother’s texts in Ivan’s literary work creates difficulties in determining the author of a particular story, which allows us to formulate as a scientific problem the question of determining the authorship of some texts of the Kondurushkin brothers.
Dataset for Deep Learning-based GEMS Asian Dust Detection
Authors: Yu Jin-Woo , Park Che-Won , Lee Won-Jin , Lee Yong-Mi , Kim Yu-Ha , Jung Hyung-Sup
Published: September 2024

In South Korea, Asian dust frequently occurs during the spring, causing various health issues, including respiratory diseases. Consequently, public awareness and concern about air pollutants have increased, leading to demands for improved air quality and accurate forecasting. To meet these demands, the Ministry of Environment has deployed the Geostationary Environment Monitoring Spectrometer (GEMS) on the GK2B satellite to monitor atmospheric pollutants and climate change-inducing substances in real-time. The current GEMS dust product, generated using thresholds of the UV-aerosol index and visible-aerosol index, has shown limitations in accurately detecting suspended particulate matter. This study aims to develop a comprehensive AI dataset for improving GEMS Asian dust detection. Data were collected from January to May 2021, focusing on dates with significant dust events. Label data were meticulously generated through annotations based on outputs from various satellites and groundbased observations. Subsequent data preprocessing and augmentation techniques, including normalization and cut-mix, were applied to enhance the dataset’s robustness and generalizability. To evaluate the dataset, model training was conducted. The results predicted by the model showed improvements over the detection results of existing algorithms. Future datasets will be developed with improved labeling methods and accuracy verification techniques. These dataset improvements are expected to contribute to the development of deep learning models with superior predictive performance compared to current dust detection algorithms.
Study on Grain Size, Physical Properties and Organic Matter Characteristics of Tidal Flat Surface Sediments: May 2022 Hwangdo Tidal Flat Dataset, Cheonsu Bay
Authors: Lee Jun-Ho , Jung Hoi-Soo , Ryu Huigyeong , Kim Keunyong , Ryu Joo-Hyung , Jang Yeongjae
Published: September 2024

This study analyzes the geological and geochemical features of surface sediments in the Hwangdo Tidal Flat, located on Korea’s West Coast. The tidal flat experiences semi-diurnal tides, impacting organic matter decomposition and nutrient cycling. Ninety one sediment samples were collected and analyzed for physical and chemical properties including grain size, density, water content, organic carbon, and nitrogen. Sediments consist mainly of sand and silt, with coarser sediments near the main channel and finer sediments towards the west. Sediment grain size averages 4.12 Φ with a sorting coefficient of 1.96 Φ, indicating diverse energy environments. Total organic carbon and nitrogen correlate positively with grain size and density, reflecting sediment origin and environment. Kriging maps sediment grain size distribution, while correlation and linear regression analyses show relationships between variables. High correlations exist between various parameters, aligning with tidal flat characteristics and aiding understanding of sediment transport and deposition. The study provides baseline data for understanding the tidal flat’s geological, geochemical, and physical aspects, valuable for remote sensing validation and environmental monitoring. The dataset is freely available for research and management purposes.
Occurrences Status of Biota in Gochang-gun, South Korea
Authors: Kim Dong-Uk , Kim Jeong-Cheol , You Chang-Hoon , Oh WooSeok
Published: September 2024

The Gochang-gun biotope map was used as a benchmarking model when preparing a county unit in the future, and was prepared for the purpose of constructing detailed spatial data for eco-friendly urban management and efficient management and value improvement of cultural assets. The purpose of this study is to provide data so that it is used as basic data for the distribution status of animals and plants and the systematic management of endangered wild animals. As a result of the survey of animals and plants in Gochang-gun, a total of 255 species of 88 families and 184 genera appeared. A total of eight families and 14 species of mammals appeared. A total of 32 families and 52 species of birds appeared. A total of nine and 26 species of fish appeared, and five species endemic to Korea appeared. Six and seven species of amphibians and reptiles appeared, respectively, and one species of exotic specices appeared. A total of 26 species of benthic large-scale vertebrates appeared, and three species endemic to Korea appeared. As for endangered wild creatures, two species of plants, six species of birds and three species of mammals appeared. It is judged that the data on animals and plants based on the urban ecological status map of Gochang-gun can be used as basic data for environmental policy decisions such as the management of ecosystem disturbances in Gochang-gun, the protection of endangered wild creatures, and the protection and restoration of plant and plant habitats.
Students’ perceptions of fairness and accuracy in clinical practice evaluation
Authors: Kang Eunhee , Park Shin-Young
Published: September 2024

Objectives: This study aims to investigate dental students' perceptions regarding the evaluation of clinical practice and to explore the factors influencing these perceptions.Methods: An online survey was conducted targeting third and fourth-year dental students from 11 nationwide dental schools. The survey focused on their perceptions of the accuracy and fairness of two clinical practices: 1) clinical clerkship in specialty clinics, and 2) direct patient care in pre-doctoral treatment centers. Additionally, the effects of different clerkship models (disciplinary block, longitudinal integrated), evaluation units (individual subject, integrated subject), and grading systems (grading, pass/fail) were assessed.Results: The overall perception of fairness and accuracy in clinical practice evaluation was found to be low. Students in disciplinary block clinical practice settings reported lower perceptions of evaluation accuracy and fairness compared to those in longitudinal integrated or mixed schedule types. Furthermore, the grading system influenced the perception of fairness and accuracy in the evaluation of clinical practices. Regarding direct patient care in pre-doctoral treatment centers, the evaluation units significantly impacted students' perceptions, although the grading system did not. Groups with grading systems showed lower perceptions compared to those with pass/fail or mixed evaluation systems.Conclusion: The study reveals that dental students perceive clinical practice evaluations as generally unfair and inaccurate, particularly within disciplinary block schedules. To improve future dental education, adopting longitudinal integrated schedules could be considered to enhance the perceived fairness and accuracy of clinical practice evaluations.
Thiazolidinediones
Authors: Capoccia Kam L. , Odegard Peggy Soule
Published: September 2024

Highlights: Introduction Pharmacology Treatment Advantages/Disadvantages Therapeutic Considerations Monographs References
Dipeptidyl Peptidase-4 (DPP-4) Inhibitors
Authors: McKeirnan Kimberly C. , Neumiller Joshua J.
Published: September 2024

Highlights: Introduction Pharmacology Treatment Advantages/Disadvantages Therapeutic Considerations Monographs References
Pramlintide
Authors: Whitley Heather P. , Trujillo Jennifer M.
Published: September 2024

Highlights: Introduction Pharmacology Treatment Advantages/Disadvantages Therapeutic Considerations Monographs References
Hypertension
Authors: Frazier Cheyenne , Franzen Jenna L.
Published: September 2024

Highlights: Introduction Goals of Treatment Overview of Medications and Rationale For Use A Brief Overview of Each Class of Medication A Brief Overview of Combination Therapy Important Combination Products Monographs (Combination Products Excluded) References
Medications for the Management of Neuropathy
Authors: Brand-Eubanks Damianne
Published: September 2024

Highlights: Overview Anticonvulsants Antidepressants Topical Medications Diabetic Gastroparesis Erectile Dysfunction Monographs References
Study design and procedures in the incontinence post robot-assisted radical prostatectomy: anatomical and functional causes (IPA) – a prospective observational clinical trial
Authors: Modig Katarina Koss , Arnsrud Godtman Rebecka , Langkilde Fredrik , Månsson Marianne , Wallström Jonas , Stranne Johan
Published: September 2024

Objective: To describe the study design and procedures of the incontinence post robot- assisted radical prostatectomy, anatomical and functional causes (IPA) trial. This trial aims to identify and study patient and procedure specific factors leading to urinary incontinence post robot-assisted laparoscopic radical prostatectomy (RALP).
Material and methods: The IPA study is a prospective, multicentre, open non-randomised surgical trial, including patients prior to RALP and registered on-line (ISRCTN67297115). IPA is administered from the Department of Urology at Sahlgrenska University Hospital, Gothenburg, Sweden. Patients undergo an anatomical and functional evaluation using magnetic resonance imaging (MRI), urodynamics including cystometry, pressure-flow and urethral pressure profile, and dynamic transrectal ultrasound prior to and 3 months after RALP. The incontinence data are gathered using patient reported outcome measure questionnaires. The primary endpoint is incontinence at 3 months after RALP, defined as need of any pad. The secondary endpoints are incontinence 12 months post RALP defined as need of any pad, and 3- and 12-months post RALP, defined as use of more than a safety pad.
Results: Until October 2023, 207 patients have been included of the stipulated 1,000, with an increasing rate of accrual. Out of these patients,187 have had a pre- and post-operative MRI and 177 have undergone pre- and post-operative urodynamics.
Conclusions: The design of the IPA study, together with promising accrual and coming multicentre inclusion, will hopefully result in the identification, and deeper understanding, of the various risk-factors for post-RALP incontinence. This could improve information and decision making regarding adequate treatment for patients with prostate cancer.
Computationally efficient and stable real-world synthetic emergency room electronic health record data generation: high similarity and privacy preserving diffusion model approach: A retrospective cohort study
Authors: Aguirre Javier , Yu Jae Yong , Jung Kyu-Hwan , Yoon Jinsung , Cha Won Chul
Published: September 2024

Purpose: This study aimed to develop real-world synthetic electronic health record (EHR) for emergency departments using computationally efficient and stable diffusion probabilistic models. Methods: In this study, we compared the performance of diffusion models and state-ofthe-art generative adversarial networks (GANs) in terms of statistical similarity, privacy, medical usefulness, and the feasibility of using synthetic data for machine learning purposes.Results: Our results demonstrate that diffusion models are significantly more computationally efficient than GANs and perform comparably or slightly better in terms of similarity, privacy, and utility. We also found that the data quality of the diffusion model is statistically very similar for both categorical and continuous values and can address class imbalance precisely. Moreover, the usefulness of synthetic data is almost identical to that of real EHR data. Our privacy analysis showed that the synthetic data generated by the diffusion models were private.Conclusion: These findings have significant implications for improving the efficiency of emergency settings and enabling real-time emergency room data modeling. This demonstrates the potential of diffusion models for generating computationally efficient high-quality synthetic data. The study concluded that diffusion models can generate real-world synthetic EHRs that are computationally efficient, private, and high-quality, and can be used for machine learning purposes in emergency settings.
Effectiveness of psychological workplace counseling for South Korean employees: A longitudinal study
Authors: Yang Hye Ryun , Lim Kyung Eun , Seol Jinmi , Cho Sung Joon , Oh Kang-Seob
Published: September 2024

Purpose: This study aimed to determine the effectiveness of psychological workplace counseling for South Korean employees.Methods: Psychological counseling sessions were conducted for 93 employees from 11 companies that signed a contract for psychological counseling services with the Workplace Mental Health Institute, Kangbuk Samsung Hospital. Each 50-minute session was tailored to the individual needs of the clients. The Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM) counseling effectiveness assessment scale was administered before and after the counseling. A paired t-test was used to compare the mean scores before and after the sessions, and an analysis of variance (ANOVA) was performed, followed by a Scheffe post hoc analysis.Results: In the overall sample, the mean CORE-OM scores before and after counseling showed a significant decrease from 1.343 to 0.883, with improvements observed in all four sub-domains. ANOVA showed that the group with more than 11 sessions showed greater change in scores than the group with four sessions or fewer. The reliable change index scores showed that 38% of the employees demonstrated a reliable change, and the groups with eight or more sessions exhibited greater change than the group with fewer than eight sessions.Conclusion: Among South Korean employees who received workplace counseling services, both the mean total score of the CORE-OM and the mean scores of the four sub-domains decreased after counseling. In addition, the effectiveness of counseling significantly increased as the total number of sessions increased.
Russia’s Ministry of Justice Decision to Label 55 Organizations as Extremists: Implications for the Rights of Indigenous Peoples of Russia
Authors: Zmyvalova Ekaterina
Published: September 2024

On 7 June 2024, the Supreme Court of the Russian Federation fulfilled the demand of the Ministry of Justice to label 55 organizations, including those advocating for the rights of Indigenous peoples, as extremists. This decision has triggered significant anxiety among Indigenous communities and human rights activists. This article examines the nature of this decision, the definitions of extremist and extremist organizations under the Russian law, and the implications of this decision for the rights of Indigenous peoples in Russia.
Cardiac and kidney outcomes after sacubitril-valsartan therapy: recovery of cardiac function relative to kidney function decline
Authors: Kim Hyo Jeong , Yang Eunji , Koh Hee Byung , Jhee Jong Hyun , Park Hyeong Cheon , Choi Hoon Young
Published: September 2024

Background: Sacubitril-valsartan reduces the risk of cardiovascular mortality among patients with heart failure with reduced ejection fraction (HFrEF). However, its long-term protective effects on cardiac function with concurrent acute kidney injury (AKI) remain unclear. This study investigated the recovery of cardiac function relative to kidney function decline. Methods: A total of 512 patients with HFrEF who started sacubitril-valsartan or valsartan treatment were enrolled in cohort 1. Additionally, patients who experienced AKI and underwent follow-up transthoracic echocardiography were enrolled in cohort 2. In cohort 1, short- and long-term kidney outcomes were analyzed. For cohort 2, changes in cardiac function in relation to changes in kidney function after drug initiation were analyzed. Results: The mean age of the patients was 68.3 ± 15.1 years, and 57.4% of the patients were male. AKI occurred in 15.9% of the sacubitril-valsartan group and 12.5% of the valsartan group. After AKI, 78.4% of patients in the sacubitril-valsartan group and 71.4% of those in the valsartan group underwent recovery. Furthermore, cardiovascular outcomes in patients who developed AKI after drug initiation were analyzed in cohort 2. The sacubitril-valsartan group showed a greater improvement in cardiac function compared with the valsartan group (12.4% ± 15.4% vs. 1.4% ± 5.7%, p = 0.046). The ratio of deltas of cardiac and kidney function in the sacubitril-valsartan and valsartan groups were –1.76 ± 2.58 and –0.20 ± 0.58, respectively (p = 0.03).Conclusion: Patients with HFrEF treated with sacubitril-valsartan exhibited significant improvements in cardiovascular outcomes despite AKI.
Degradation of Congo Red Using Periodate, Activated by Ultrasound and Iron(II)
Authors:   Lviv Polytechnic National University, 12, S. Bandery St., Lviv, 79013, Ukraine, Sukhatskiy Yuriy , Shepida Mariana ,   Lviv Polytechnic National University, 12, S. Bandery St., Lviv, 79013, Ukraine, Sozanskyi Martyn ,   Lviv Polytechnic National University, 12, S. Bandery St., Lviv, 79013, Ukraine, Znak Zenovii ,   Lviv Polytechnic National University, 12, S. Bandery St., Lviv, 79013, Ukraine
Published: September 2024

The periodate, activated by the combination of ultrasound and Fe(II), was used for oxidative degradation of an anionic diazo dye of congo red (CR). The effect of the main factors (the initial pH, the molar ratio of CR:KIO4:FeSO4, the amount of Fe(II), and the specific power of ultrasonic cavitation treatment) on its degradation efficiency was analyzed.
Developing a Performance Evaluation Benchmark for Event Sourcing Databases
Authors:   Lviv Polytechnic National University, Malyi Roman , Serdyuk Pavlo ,   Lviv Polytechnic National University
Published: September 2024

In the domain of software architecture, Event Sourcing (ES) has emerged as a significant paradigm, especially for systems requiring high levels of auditability, traceability, and intricate state management. Systems such as financial transaction platforms, inventory management systems, customer relationship management (CRM) software, and any application requiring a detailed audit trail can significantly benefit from this approach. Numerous aspects of ES remain unexplored, as they have yet to be thoroughly investigated by scientific research. The unique demands of such systems, particularly in terms of database performance and functionality, are not adequately addressed by existing database benchmarks. By establishing benchmarks, organizations can compare different databases to determine which best meets their needs for applications. This aids in selecting the most appropriate technology based on empirical data rather than assumptions or marketing claims.This paper introduces a novel benchmarking framework specifically designed for evaluating databases in the context of event sourcing. The framework addresses critical aspects unique to ES, including event append performance, efficient handling of Projections (separate databases for read operations), strong consistency, ordered data insertion, and robust versioning controls. Through rigorous testing and analysis, this framework aims to fill the gap in existing database benchmarking tools, providing a more accurate and relevant assessment for ES systems. We also conducted experiments that not only demonstrated the effectiveness of our approach but also yielded meaningful results, substantiating its practicality and applicability.
Mathematical Model of Logistic Regression for Binary Classification. Part 2. Data Preparation, Learning and Testing Processes
Authors:   Lviv Polytechnic National University, Kravets Petro , Pasichnyk Volodymyr ,   Lviv Polytechnic National University, Prodaniuk Mykola ,   Lviv Polytechnic National University
Published: September 2024

This article reviews the theoretical aspects of logistic regression for binary data classification, including data preparation processes, training, testing, and model evaluation metrics. Requirements for input data sets are formulated, methods of coding categorical data are described, methods of scaling input features are defined and substantiated. A scheme for learning logistic regression using the gradient descent method has been developed to minimize the loss function by the appropriate adjustment of the weights of the features of the sample of objects intended for classification. Features of the construction of recurrent methods of classical and stochastic gradient descent are determined. The requirements for the organization of the data sample for the multi-stage learning model in order to avoid overtraining or undertraining of logistic regression are described. The scheme of testing the trained logistic regression is given and the main quality metrics of binary classification are described. The influence of the height of the classification threshold on the efficiency of logistic regression was noted. According to the results of the work, the directions of perspective research of logistic regression are outlined.
Carbon-carbon composite material as a potential basis for orthopedic implants
Authors: Gordina E. M. , Bozhkova S. A. , Labutin D. V. , Utkin Yu. A. , Aptukov A. I.
Published: September 2024

Aim. To determine the cytocompatibility of carbon-carbon composite materials (CCCM) and assess their ability to be impregnated with vancomycin.

Materials and Methods. The study included samples of carbon-carbon composite materials (CCCM). The cytocompatibility of CCCM blocks was evaluated using a culture of eukaryotic cells (Vero cell line). Biofilms of S. aureus ATCC 29213 (MSSA), S. aureus ATCC 43300 (MRSA), S. epidermidis ATCC 12228 (MSSE), and S. epidermidis ATCC 29887 (MRSE) were formed by immersing sterile test samples of CCCM into a nutrient medium which contained bacteria. After 24-hour incubation, the samples were washed, placed in an ultrasonic bath, and sonication fluid was inoculated using the sector method. To saturate the CCCM blocks with antibiotics, they were placed into a vancomycin solution and then lyophilized under negative pressure with gradual heating. The antimicrobial activity of the resulting blocks was studied using the cup plate method against the same reference cultures of staphylococci. The dynamics of vancomycin elution from CCCM was investigated using high-performance liquid chromatography.

Results. Vero cells maintained their viability in the presence of the tested material. Considering the highly porous structure of CCCM and variable diameter of the pores, we suggested a good osteointegration potential of this material. On the samples without an impregnation with an antibacterial drug, reference strains of staphylococci were able to form a biofilm with a sufficient number of bacterial cells to initiate an infectious process. The duration of antimicrobial activity of the antibioticim-pregnated samples against the reference staphylococcal strains was up to 3 days. The majority of the antibiotic eluted from the CCCM into the incubation medium during the first two days.

Conclusion. The cytocompatibility and porosity of CCCM in combination with a vancomycin impregnation makes this material promising for the fabrication of implants with antimicrobial activity as well as tissue engineering constructs.
Immunohistochemistry for assessing toxicity and mechanism of action of anticancer drugs during preclinical trials. From theory to practice
Authors: Dodokhova M. A. , Akimenko M. A. , Voronova O. V. , Alkhusein-Kulyaginova M. S. , Kornienko N. A. , Gulyan M. V. , Gyulmamedov D. N. , Alasheva M.-M. Kh. , Kazimagomedova E. Sh. , Shpakovsky D. B. , Milaeva E. R. , Kotieva I. M.
Published: September 2024

Aim. To identify the most suitable pathogenetic mechanisms for in-depth study of the antitumor and antimetastatic effects of tested hybrid organotin compounds using the immunohistochemical approach.

Materials and Methods. Here, we tested bis(3,5-di-tert-butyl-4-hydroxyphenylthiolate) dimethyltin (laboratory code Me-3), belonging to the class of hybrid organotin compounds, on 30 female C57Bl/6 mice using a universal model of transplantable tumors with spontaneous metastasis (B16 melanoma). 48 hours after tumor cell transplantation, we intraperitoneally administered Me-3 once daily to female C57Bl/6 mice for 10 days at a total dose (TD) of 375 mg/kg. For histological analysis, we used the primary tumor node of B16 melanoma. Immunophenotyping of B16 melanoma tissue samples was carried out using the polyclonal antibodies to transforming growth factor beta 1 (TGFβ-1), vascular endothelial growth factor A (VEGFA), Bcl2-associated X Protein (Bcl-2), cluster of differentiation 34 (CD34).

Results. After the exposure to Me-3, we found a reduced immunohistochemical signal to TGF-β1 and Bcl-2 3 in the tumor tissue. Low doses of Me-3 have also impacted angiogenesis.

Conclusion. Me-3 has a pro-apoptotic and anti-angiogenetic effects on B16 melanoma cells in C57Bl/6 mice.
Increasing the Interlayer Fracture Toughness of Polymer Fabric Composites Using Local 3D-Reinforcement (Felting)
Authors: Forental G. А. , Sapozhnikov S. B.
Published: September 2024

Introduction. One of the reasons for undesirable delamination of polymer composites with fabric reinforcement is low transverse shear properties. It is known that the reinforcement of polymer fabric composites in the Z direction reduces the sensitivity to delamination and increases the viscosity of interlayer fracture. Various methods of three-dimensional reinforcement of polymer fabric composites are proposed in the literature. However, they complicate the manufacturing process of the structure. The problem is solved by the method of three-dimensional reinforcement proposed in this article — felting. This is a local reinforcement of the composite in the Z direction with minimal production changes. The degree of Z-reinforcement is determined by the felting density, i.e., the number of needle punches per 1 cm2 of the fabric package. The work is aimed at evaluating the effect of felting on the interlayer crack resistance of a composite material.

Materials and Methods. The interlayer fracture toughness GIIc was determined on a cross-woven fiberglass with felting of 10 cm-2. The material was impregnated with Etal-370 resin and Etal-45 hardener. Experiments according to ASTM D7905M–14 and GOST 33685–2015 standards were carried out on an Instron 5900R test machine. The stress state at the crack tip was analyzed with regard to the nonlocal strength theory in the ANSYS Workbench program (option “static strength analysis”). The finite element method (FEM) was used.

Results. The “load — displacement” curves were considered for the samples. Values GIIc were calculated. The results of ENF tests for felting density of 0 cm–2 and 10 cm–2 were summarized. Control samples and felting samples were compared. In the latter case, GIIс turned out to be ~33% higher. The stress state at the crack tip was calculated under DCB and ENF loading. The dependences of maximum normal and shear stresses, as well as displacements, were visualized in the form of graphs and color charts. To get the calculated “load — displacement” dependences using FEM, the reverse method of obtaining transverse shear constants was used. DCB loading showed that felting provided increasing the rupture strength in the Z direction to ~18%, by 39 to 46 MPa, and in the planes XZ— to ~16%, by 77 to 89 MPa.

Discussion and Conclusion. Felting as a method of local three-dimensional reinforcement enhances the interlayer crack resistance of polymer fabric composites. It provides reducing the area of stratifications after local impacts during the operation of structures. Flexible felting technology makes it possible to create zones with an arbitrary impact density, increasing fracture toughness only in the required places of structures. The FEM analysis of the stress state at the crack tip within the framework of the nonlocal strength theory has shown that in strength calculations, the stratification crack can be considered as a stress concentrator.
Algorithm for Processing X-ray Images Using Fuzzy Logic
Authors: Mannaa A. S.
Published: September 2024

Introduction. To improve the diagnostics of knee joint diseases, it is necessary to enhance the quality of processing radiographic images, i.e., to provide experts with more accurate information for pathology analysis. The objective of the study is to demonstrate the capabilities of fuzzy logic in improving the algorithm for determining reference lines and knee flexion angles. This requires a program that analyzes X-ray images. The methods known today, described in scientific and applied literature, are not sufficiently automated. In some cases, orthopedists and surgeons have to manually refine images and adjust lines. This gap is filled by the presented work. The algorithm developed by the author is described. It does not involve human participation and automatically identifies the lines and angles of knee flexion. Based on the result issued by the system, the doctor can, firstly, judge the presence of pathology. Secondly, the information provided by the program allows for more accurate planning, performing operations, and prescribing therapy.Materials and Methods. Images from two X-ray machines operating in Al-Basel Hospital (Latakia, Syria) were used. The Python language was used for the software implementation of the algorithm. The solution was tested on 500 patients at Al-Basel Hospital. The results generated by the new system and previous versions of X-ray image processing programs were compared.Results. An algorithm for constructing reference lines and angles for processing knee joint X-ray images is created, described, and implemented in practice. The capabilities of fuzzy logic in automating double threshold detection when identifying bone boundaries in images are shown. The operation of an improved Gaussian filter designed for processing X-ray images is described. The modified method of knee bone X-ray analysis includes the development of an algorithm for automatic detection of structures and anomalies in knee joints, determination and measurement of anatomical parameters, assessment of the degree of damage, etc. The method for determining the contour boundaries on radiographs combined the Canny detector, the watershed algorithm, and fuzzy logic. The program has been implemented in medical practice and shows 98% accuracy, spending less than 20 seconds to process the image.Discussion and Conclusion. The new system provides high accuracy, acceptable efficiency, and does not require manual correction of images. Experts are now able to identify subtle indicators of disorders. In addition, the new method makes it possible to understand complex cases when several factors are combined, indicating potential pathology. Widespread implementation of the method will improve the quality of medical services in orthopedics. Scientific research in this direction should be continued to expand the set of strategies for the treatment of diseases of the musculoskeletal system. It is necessary to create solutions with absolute accuracy, higher processing efficiency, as well as methods suitable for analyzing other joints.
The influence of threshold values on Type A standard uncertainty in mass flow rate measurements for liquids
Authors: Ashchepkov Valeriy , Byallovich Dmytro , Skliarov Volodymyr
Published: September 2024

In metrological studies, the minimization of Type A standard measurement uncertainty, which can be significantly increased by the presence of outliers in the data, is an essential task. Our previous research focused on detecting and eliminating outliers using various statistical methods, such as the Interquartile Range (IQR) method, the Median Absolute Deviation (MAD) method, as well as the machine learning-based Isolation Forest method. These methods have proven effective under certain conditions, significantly reducing Type A uncertainty and improving the measurement accuracy.
However, despite the progress made, the issue of determining the optimal threshold values at which measurement uncertainty may well be minimized remains unresolved. This is especially crucial for tasks where even a slight increase in the uncertainty may significantly affect the results.
The main focus is on studying the relationship between threshold values and changes in the measurement uncertainty, as well as analysing possible causes of these changes. The study is aimed at identifying the optimal data processing conditions under which minimal measurement uncertainty can be achieved, which is of paramount importance for improving the accuracy of metrological studies.
SciSpace for Finding Relevant Literature in English Language Education Contexts: A Technology Review
Authors: Kritandani Weny , Putra Angga Widitama , Mali Yustinus Calvin Gai , Isharyanti Neny
Published: September 2024

Writing a literature review part might be a challenging task for university students as they have to sit for some time to find recent literature that is closely relevant to their research topics. In that case, the authors spot the potential of utilizing SciSpace, Artificial Intelligence technology, to support the students in their literature review activities. In this study, the authors aim to review the potential benefits and challenges of using SciSpace to find recent literature relevant to students’ research topics, framed under the task engagement principles. To achieve that study goal, the authors used a recent technology review approach to do the review and conducted rigorous peer debriefing activities to ensure that the review results are credible and trustworthy. The review results showed the benefits of using SciSpace, which included fostering task authenticity, maintaining students’ interest, facilitating social interaction, supporting autonomy, and providing effective scaffolding. Meanwhile, the challenges of using SciSpace involved content accuracy and relevance, updating tailored content, handling complex queries and visuals, and offering context-specific feedback. Recommendations for maximizing the application's potential include improving content filtering, expanding interactive features, and providing specialized feedback. Future research agendas also are presented.
Application of machine learning models for the diagnosis of gastrointestinal disease phenotypes
Authors: Berezin A.A. , Agalakov S.A.
Published: September 2024

The work is devoted to the task of diagnosing the phenotypes of diseases of the gastrointestinal tract using machine learning models. The main purpose of this work is to find a model that solves the problem of classifying patients in a medical institution. In the course of the work, simple models such as logistic regression and cluster analysis were first considered. Due to the inefficiency of these methods, a search was made for more complex models and methods of data analysis: decision trees, ensembles of trees, artificial neural networks. Work was also carried out on the preliminary processing of the data set and the selection of significant features for classification. As a result of the work, the best model for the data set under consideration was found - CatBoost, which diagnoses phenotypes with an accuracy of 92.85 % in the training sample and 79.31 % in the test sample. In addition, the paper evaluates the applicability of machine learning methods in clinical practice and identifies areas for future research for more accurate diagnosis.
Study of reliability indicators of a multicomponent ergatic system taking Into account the reliability of a human operator
Authors: Terentyeva O.A.
Published: September 2024

The article substantiates the need to monitor the reliability of the human operator of the ergatic system, and also proposes a software application for assessing the corresponding indicator. The paper presents the results of an experimental study of the probability of failure-free operation of ergatic systems depending on the frequency of failures of the human operator.
The concept of verifying the operation of cellular automata under variation of geometric lattices for diffusion model
Authors: Saruhanyans S.K. , Maslovskaya A.G.
Published: September 2024

The methodology of cellular automata occupies one of the key positions in the discrete dynamic simulations. The adequacy of the results of solving applied problems is largely determined by the choice of the type of geometric lattice of the cellular automaton. The article presents a formalization and numerical verification of the concept of verification of the operation of a cellular automata model of the classical diffusion process for a set of basic two-dimensional geometric lattices. The approach is based on a direct comparison of the space-time solution of the diffusion equation obtained by the finite element method with the solution of a discrete analogue of this equation based on the operation of a cellular automata algorithm. The software implementation of the cell-automation was performed with the C+ using the Unity platform while the finite element solution of the evolutionary problem of mathematical physics was carried out using the Matlab tools. Cellular automaton lattices were constructed using various cell geometric primitives traditionally used in diffusion modeling applications. Obtained findings indicate that the hexagonal cellular automaton demonstrates the minimum error in the numerical implementation.
Tradición con identidad: La identidad gráfica del Mercado Melchor Ocampo “Medellín”
Authors:   , Galván Álvarez Paola
Published: September 2024

Con el fin de resolver la problemática de la pérdida de identidad gráfica del Mercado Melchor Ocampo se definió el siguiente objetivo general, revitalizar la identidad gráfica del Mercado Melchor Ocampo para preservar su valor histórico y cultural, fortaleciendo su atractivo turístico y mejorando la experiencia de los visitantes. Este mercado representa un patrimonio intangible de la Ciudad de México y es un punto de encuentro para la comunidad. Al recuperar su identidad, se busca fortalecer el sentido de pertenencia de los vecinos y fomentar la cohesión social, además de posicionarlo como un destino turístico atractivo. Para alcanzar este objetivo, se establecieron tres objetivos: 1. Identificar e investigar la historia, costumbres y elementos visuales característicos de los mercados y el mercado Melchor Ocampo Medellín, incluyendo un inventario detallado de todos los locales y giros comerciales presentes. 2. Crear el diseño de un mural y un sistema de señalética que represente de manera fiel y atractiva los resultados de la investigación. 3. Ejecutar el diseño incluyendo la producción y montaje del mural en el espacio designado, así como la instalación de la señalética en puntos estratégicos del mercado y la promoción del mismo por medio de redes sociales y evaluar el impacto del proyecto en la comunidad y los visitantes del mercado.
Carbon fiber composite core conductor operation risk assessment model based on various types of monitoring data
Authors: Xu Yabing , Xu Hongfu , Zhu Jinmeng , Liu Chenchen , Sun Bozhen
Published: September 2024

As the national economy grows gradually and the scale of urbanization expands, the standard for power transmission is also continuously increasing. Currently, the existing transmission lines can no longer meet the rising power demand, thus urgently requiring the construction of power transmission capacity expansion. Although there are many strategies for increasing capacity, the development of enhanced conductor material is indeed its greatest advantage. However, among the various options for increasing capacity, the development of capacity-enhancing wires is also the most advantageous. Carbon fiber conductors, which are known as “black gold,” are the perfect material for this purpose. Given the inherent economic value, high brittleness, and complexity of the installation process of carbon fiber materials, this study proposes an operational risk assessment model for carbon fiber composite core conductors based on multiple monitoring data. For the first time, the influence between quarterly lightning strike probability and arc droop as well as the temperature drop effect on overhead transmission conductors by convective heat dissipation from natural wind are taken into account. The expected arc sag size of the conductor in the future period can be predicted according to the meteorological forecast, which can effectively prevent the impact of flashovers and wire breakage on the operation of the power grid. In addition, the practicality and functionality of the assessment model have been verified by real accident data.
Exploring the reform of pharmacology curriculum based on ChatGPT
Authors: Zhang Xing , Gao Yiwen , Shao Yulin , Wang Jian , Li Yirong , Li Shanshan , Han Mingfeng
Published: September 2024

The emergence of ChatGPT (Chat Generative Pre-trained Transformer) has created new opportunities and challenges in the field of education. This paper explores the usage of ChatGPT to improve learning efficiency, teaching effectiveness, and educational efficiency in pharmacology instruction. The study evaluated the usage of ChatGPT across three stages of pharmacology coursework: pre-class preparation, post-class extension, and evaluation, through comparison with conventional settings in these stages. Generative artificial intelligence can be used as a virtual teaching assistant and learning aid. It can be used to transform learning styles across the above three stages to focus on cultivating critical and creative thinking in students. ChatGPT can play a leading role in teaching, and help better balance the relationship between education and artificial intelligence. However, we need to clarify the status of ChatGPT as a tool and prevent over-reliance on it.
Zinc chloride-activated Denim waste carbon for methylene blue removal
Authors: Usman-Cholik Mohamad Amirul , Amran Fadina , Ahmad-Zaini Muhammad Abbas
Published: September 2024

The aim of this work was to evaluate the adsorptive properties of denim-based activated carbon for methylene blue removal from water. The adsorbent was prepared through ZnCl2 activation and characterized for specific area, surface chemistry and morphology. The batch adsorption was carried out at different dye concentrations, contact times and solution temperatures. The activated carbon, AC-ZnCl2, yields a high surface area of 1323 m2/g with adsorption capacity of 326 mg/g. The adsorption data were well-fitted into Langmuir and pseudo-second-order kinetic models. The adsorption is endothermic and spontaneous at high temperature. Also, the kinetic and thermodynamic studies show that the adsorption is governed by physical and chemical adsorption.