bluuebunny/crossref_metadata_2025 huggingface dataset:
TLSynth: A Novel Blender Add-on for Real-Time Point Cloud Generation from 3D Models
Authors: Pérez Emiliano , Sánchez-Hermosell Adolfo , Merchán Pilar
Published: December 2024

Point clouds are a crucial element in the process of scanning and reconstructing 3D environments, such as buildings or heritage sites. They allow for the creation of 3D models that can be used in a wide range of applications. In some cases, however, only the 3D model of an environment is available, and it is necessary to obtain point clouds with the same characteristics as those captured by a laser scanner. For instance, point clouds may be required for surveys, performance optimization, site scan planning or validation of point cloud processing algorithms. This paper presents a new Terrestrial Laser Scanner (TLS) simulator, designed as an Blender add-on, that produces synthetic point clouds from 3D models in real-time, while adhering to standard laser scanner parameters. The target meshes may be derived from either a real-world scan or 3D designs created using design software. The simulator generates point clouds with distributions and characteristics similar to those obtained by a real laser scanner, incorporating the standard parameters from scanner specification sheets. This feature, together with its real-time generation capability, makes it particularly suitable for scan planning and the creation of synthetic point cloud repositories.
Description of Requirements for the Development of an Agricultural Autonomous Vehicle with Artificial Intelligence
Authors: Alhasan Ali , Mei Haitao , Gismelbari Mohamed , Gataullin Ruslan , Viksnin Ilya
Published: December 2024

Autonomous vehicles (AV) applications can extend to reach variable fields, some fields are more impacted with this interference than others, farming, wildfire detecting, search and rescue, weed control, and livestock management are critical and can be enhanced in large range using the integration between artificial intelligence (AI) and AV’s. Thus, in this research, we try to describe a process of making a singular multitask AV with sufficient processing power, and an accurate AI functionality to perform such tasks in real time. In order to achieve such target, multiple requirements are essential such as an accurate flight controller, a high-end processing unite, and aerodynamical design to operate in severe weather conditions, as well as precise and high-quality materials for 3D-printing and execution.
OnlineLino – a digital platform on architect Raul Lino’s built heritage at Médio Tejo, in Portugal
Authors: Moreira Anabela Mendes , Serrano Inês , Santos Paulo , Delfino Regina , Matos Pedro , Gracio Ana , Xavier Ana
Published: December 2024

The cultural context and values of twentieth-century architecture and construction confirm the need to preserve them for future generations, given the multiple challenges to overcome. Raul Lino da Silva (1879-1974) is a celebrated Portuguese architect who worked throughout the twentieth century and whose architectural legacy is scattered from the north to the south of the country. The aim of this paper is to present the development of the website OnlineLino related to the architectural and construction heritage by Raul Lino in the Médio Tejo region, an inland Portuguese territory with low demographic density. The work is focused on integrating documentary information dispersed across different digital funds, by aggregating it on a website that will be made available for public access in the future. To this end, data was collected from different funds, and the information was aggregated and systematised so that it could be included in the digital database developed, the OnlineLino website. The work was carried out by a multidisciplinary team in academic setting, involving the areas of Architecture, Civil Engineering, Computer Engineering and Design. Overall, this work highlights the importance of disseminating the twentieth-century architectural and construction heritage and presents an effective method to reach this goal.
Preventive Methods to Reduce The Risk of Gestational Diabetes Onset: A Narrative Literature Review
Authors: Caccia Sara , Valsecchi Alessandra , Cattani Daniela , Lopane Diego , Gibellato Alberto , Sguanci Marco , Mancin Stefano , Cosmai Simone , Petrelli Fabio , Cangelosi Giovanni , Mazzoleni Beatrice
Published: December 2024

Background/Objectives: Gestational diabetes (GD), affecting approximately 15% of pregnancies globally, presents significant risks to both maternal and fetal health. This highlights the urgent need for effective prevention and management strategies. This review aims to synthesize existing literature to identify and evaluate effective interventions for GD prevention. Methods: A narrative review was conducted in September 2024, searching four biomedical databases: PubMed-Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, and the Cochrane Library. Results: Eleven studies were included, encompassing systematic reviews, meta-analyses, and narrative reviews. Key findings indicate that dietary interventions, especially the Medi-terranean diet (risk reduction of 15%-38%), and physical activity (28%-36% risk reduction) are among the most effective strategies for preventing GD. Supplementation with probiotics and myo-inositol has also demon-strated significant reductions in GD risk, with up to 60% risk reduction for probiotics and 50%-70% for myo-inositol. Pharmacological interventions, such as metformin, show promise but require further evaluation for safety and efficacy in pregnancy. Conclusions: Interventions such as dietary modifications, physical activity, and supplementation with probiotics and myo-inositol are effective in preventing GD. However, further re-search is needed to establish standardized protocols, especially regarding pharmacological treatments and long-term outcomes for both mothers and infants
Imputing Covariance for Meta-Analysis in the Presence of Interaction
Authors: Liu Enwu , Liu Ryan Yan
Published: December 2024

Detecting interactions is a critical aspect of medical research. When interactions are present, it is essential to calculate confidence intervals for both the main effect and the interaction effect. This requires determining the covariance between the two effects. In a two-stage individual patient data (IPD) meta-analysis, the coefficients, as well as their variances and covariances, can be calculated for each study. These coefficients can then be combined into an overall estimate using either a fixed-effect or random-effect meta-analysis model. The overall variance of the combined coefficient is typically derived using the inverse-variance method.However, to the best of our knowledge, no existing studies have addressed how to calculate the overall covariance between the main effect and the interaction effect in the context of meta-analysis. In this paper, we propose a straightforward and transparent method for calculating this covariance when interactions are considered in a meta-analysis. To facilitate implementation, we have developed an R package, covmeta, which is available at https://github.com/enwuliu/covmeta.
Hypothesis: Is Dura Mater the True Culprit Behind Chiari 1 Malformations?
Authors: Florian Ioan Alexandru , Pop Maria Mihaela , Florian Teodora Larisa , Florian Ioan Ștefan
Published: December 2024

In this article, we discuss the theory that an error in dural development and/or signaling is responsible for the occurrence of Chiari 1 Malformations (CM1). Other widely accepted theories such as the premature closure of the spheno-occipital synchondrosis, or the paraxial mesodermal defect during embryogenesis are discussed, along with the most relevant evidence to substantiate our hypothesis.
Deep Learning Domain Adaptation Applied for Minerals Semantic Segmentation in Reflected Light Microscopy Images
Authors: Martins Vinícius Zacharias , Mota Guilherme Lucio Abelha , Costa Gilson Alexandre Ostwald Pedro da , Vega Pedro Juan Soto , Gomes Otávio da Fonseca Martins
Published: December 2024

In the mining industry, mineral characterization provides data and parameters to support efficient and profitable ore processing. However, mineral characterization techniques usually require extensive image analysis, making manual large-scale image segmentation of mineral phases impractical. Considering the accuracy level currently achieved with deep learning models, they represent a potential solution to the problem of automating mineralogical ore characterization. However, training deep learning models generally requires an abundance of annotated images. Additionally, supervised learning models trained on data of a given ore sample tend to perform poorly on a sample with different characteristics, or of a different ore. In this work, we consider those different samples as pertaining to different domains: a source domain, used for training the model, and a target domain, in which the model will be tested. In such application context, domain divergences, also regarded as domain shift, may emerge from differences in mineral composition, or from distinct sample preparation processes. This research evaluates the use of the unsupervised deep domain adaptation to obtain models that generalize properly for a target domain even though no labeled target domain samples are used during training. The task of the models is to discriminate between ore and resin pixels in reflected light microscopy images. Preliminary cross-validation experiments between different domains prior to domain adaptation revealed a pronounced difficulty in the models' generalization. This fact motivates the herein presented research regarding evaluation of the potential of domain adaptation as an attempt to compensate for the loss of performance caused by domain shifts. The results of the domain adaptation showed that a significative part of the adapted models presented performance metrics considerably above the cross-validation baseline, achieving F1 score gains of up to 33% and 38% in the best cases, although in some source-target combinations limited performance gains were obtained. This indicates that the intensity of the displacement between the source and target domains may limit the success of the domain adaptation method.
Bioaccumulation of Metals in Fish Collected from Macapá Urban Aquatic Environments (Brazilian Amazon) and the Risks to Human Health (Brazilian Amazon) and the Risks to Human Health
Authors: Souza Debora Cristina Damasceno de , Viana Lucilene Finoto , Kummrow Fábio , Cardoso Claudia Andréa Lima , Lima Nathalya Alice de , Crispim Bruno do Amaral , Lacerda Izabelle Alexandra Rodrigues , Barufatti Alexeia , Dias Lúcio André Viana , Florentino Alexandro Cezar
Published: December 2024

The city of Macapá in the Brazilian Amazon faces critical aquatic pollution challenges due to inadequate sanitation infrastructure, leading to heavy metal contamination in fish within its urban water bodies. This study evaluates concentrations of metals (Cu, Cd, Cr, Fe, Mn, Ni, Pb, Zn, Hg) in muscle tissues of fish from igarapés, floodplain lakes, and canals. Samples were collected from six sites to investigate the bioaccumulation of these metals and their potential human health risks. Using Atomic Absorption Spectrometry and Inductively Coupled Plasma Optical Emission Spectrometry for Hg, metal levels were analyzed in three carnivorous and seven omnivorous fish species. Cd concentrations in several species exceeded safety thresholds for human consumption, while the estimated daily intake (EDI) of Hg also surpassed reference doses. Risk assessment combining the risk quotient (RQ) for individual metals and the risk index (RI) for metal mixtures indicated considerable health risks associated with consuming fish from these contaminated waters. These findings reveal concerning exposure to contaminants, underscoring the need for environmental management and ongoing monitoring to protect public health in vulnerable urban areas.
Human Activity Recognition Using Graph Structures and Deep Neural Networks
Authors: Bsoul Abed Al Raoof
Published: December 2024

Human Activity Recognition (HAR) systems are essential in healthcare, surveillance, and sports analytics, enabling automated movement analysis. This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities. While CNN-based models excel at spatial feature extraction, they struggle with temporal dynamics, limiting their ability to classify complex actions. To address this, we applied the Firefly Optimization Algorithm to fine-tune the hyperparameters of both the graph-based model and a CNN baseline for comparison. The optimized graph-based system, evaluated on UCF101 and Kinetics-400 datasets, achieved 88.9% accuracy with balanced precision, recall, and F1-scores, outperforming the baseline. It demonstrated robustness across diverse activities, including sports, household routines, and musical performances. This study highlights the potential of graph-based HAR systems for real-world applications, with future work focused on multi-modal data integration and improved handling of occlusions to enhance adaptability and performance.
Microbiome-Driven Therapeutics: From Gut Health to Precision Medicine
Authors: Yaqub Muneer Oladipupo , Jain Aashika , Joseph Chinedu Eucharia , Edison Lekshmi K.
Published: December 2024

The human microbiome, a complex ecosystem of microorganisms residing in and on the body, plays a pivotal role in regulating a wide range of physiological processes, including digestion, immune responses, and metabolic functions. In recent years, the rapidly growing field of microbiome-driven therapeutics has garnered significant attention for its potential to revolutionize healthcare. This review explores the evolving landscape of microbiome-based therapies, with a particular focus on the gut microbiome and its implications for both gut health and precision medicine. We highlight recent advances in understanding how microbial communities influence disease pathogenesis and treatment outcomes, spanning conditions such as inflammatory bowel disease (IBD), metabolic disorders, neurological diseases, and even cancer. This article also discusses emerging therapeutic strategies, including probiotics, prebiotics, fecal microbiota transplantation (FMT), and microbial-based drugs, as well as the challenges associated with their clinical implementation. Additionally, we examined how the integration of microbiome profiling and metagenomic data is advancing the field of precision medicine, paving the way for more personalized and effective treatments. This review serves as a comprehensive resource that synthesizes current knowledge, identifies key gaps in microbiome research, and offers insights into the future direction of microbiome-driven therapeutics, thus providing a valuable framework for clinicians, researchers, and policymakers seeking to harness the potential of the microbiome to advance personalized healthcare solutions.
Comprehensive Overview of the Effective Thermal Conductivity for Hydride Material: Experimental and Modeling Approaches
Authors: Scarpati Gabriele , Puszkiel Julián A. , Warfsmann Jan , Karimi Fahim , Jannelli Elio , Pistidda Claudio , Klassen Thomas , Jepsen Julian
Published: December 2024

Hydrogen storage in a solid state is a promising alternative to compressed hydrogen. Metal hy-drides (MHs) provide high hydrogen volumetric capacities of up to 150 kg/m3, wide pressure (P) and temperature (T) operative ranges (– 40 to 500 ºC, 1 to > 700 bar), and reversible absorp-tion-desorption processes, making them suitable for mobile and stationary applications. Aside the intrinsic material’s reaction kinetics with hydrogen, in metal hydride beds (MHBs), reaction heat transfer often limits the dynamic performance. Heat transfer within the MHB usually involves the solid and gas phases. To account for both, an effective thermal conductivity (ETC) is defined. Measuring and predicting the ETC of metal hydride beds is of primary importance when designing hydride-based systems for high dynamics. This review paper presents an integral overview of the experimental and modeling approaches to characterize the ETC in MHBs. The most relevant methods for measuring the ETC of metal hydride beds are described, and the results and scopes are shown. A comprehensive description of the models applied to calculate the ETC of the MHBs under different conditions is developed. Moreover, the effects of operation parameters such as P, T, and composition on the ETC of the presented models are analyzed. Finally, a summary and conclusions about experimental techniques, a historical overview with a classification of the ETC models, a discussion about the needed parameters, and a comparison between ETC experimental and cal-culated results are provided.
Associations Between Hemoglobin and Serum Iron Levels and the Risk of Mortality Among Patients with Coronary Artery Disease
Authors: Li Qing , Pan Zhijun , Zeng Yupeng , Wang Xu , Li Dan , Yin Ting , Chen Qian , Ling Wenhua
Published: December 2024

Background: The relationship between hemoglobin and serum iron levels and mortality risk in patients with coronary artery disease (CAD) is not well understood.
Methods: We analyzed data from 3,224 patients with CAD using Cox proportional hazards regression models to assess the association of hemoglobin and serum iron levels with cardiovascular and all-cause mortality.
Results: Over a median follow-up period of 8.9 years, 636 patients died, including 403 from cardiovascular causes. Higher hemoglobin and serum iron levels were linked to a reduced risk of cardiovascular and all-cause mortality. Patients in the highest quartiles of hemoglobin and serum iron levels had multivariable-adjusted hazard ratios (HRs) of 0.62 (95% CI, 0.46–0.85) and 0.51 (95% CI, 0.37–0.69) for cardiovascular mortality, and 0.64 (95% CI, 0.50–0.83) and 0.67 (95% CI, 0.53–0.85) for all-cause mortality, compared to those in the lowest quartile. A one-standard deviation increase in hemoglobin and serum iron levels corresponded to a 19% and 24% reduction in cardiovascular mortality risk and a 19% reduction in all-cause mortality risk for both factors. Restricted cubic spline analysis revealed L-shaped and U-shaped associations between hemoglobin and serum iron levels and cardiovascular and all-cause mortality, respectively. These associations were consistent across various age groups, sex, and CAD types.
Conclusions: Hemoglobin and serum iron levels are significantly associated with lower risks of cardiovascular and all-cause mortality in patients with CAD. Further research is needed to evaluate the effects of iron supplementation in these patients.
Thallium Poisoning: Case Report and Scoping Review on Diagnostic Delay and Therapeutic Outcome
Authors: Soave Paolo Maurizio , Chirico Francesco , Pallocchi Matteo , Magnavita Nicola
Published: December 2024

Thallium poisoning, which may be accidental or criminal, presents with a nonspecific clinical picture but is rapidly progressive. Delay in diagnosis may cause the appearance of serious, often irreversible, and sometimes fatal lesions. Prompt treatment with Prussian Blue before toxicological confirmation results in immediate improvement in cases of intoxication, without appreciable side effects, and is therefore recommended as an "ex juvantibus" strategy in cases of suspected thallium poisoning. A successfully treated case of poisoning is presented as an example of this strategy. An analysis of the contaminated well water the patient had unknowingly drunk subsequently showed pollution over 75 times higher than the potable limit, and plasma levels revealed values 267 times higher than the normal range. All the test results were received when the patient undergoing treatment had improved so much that she had been discharged from hospital. To complete the study, we conducted a scoping review to understand the extent and type of evidence in relation to latency in diagnosis of intoxication and health effects. The review of 27 articles covering 101 cases of thallotoxicosis confirmed that early treatment with Prussian Blue offers the best chance of achieving complete recovery.
Cross-Sectional Study on Vector-Borne Zoonoses and Global Warming Awareness – an Overview of Perceptions, Knowledge and Practices in Portugal
Authors: Pontes Daniel , Lopes Ana Patrícia , Mateus Teresa Letra , Loureiro Filipa , Cardoso Luís , Coelho Ana Cláudia
Published: December 2024

Climate change is a critical concern for public health. Its impact on human and animal health is becoming increasingly evident each year, as extreme weather events and the expansion of vectors to new areas increase the risk of transmission of zoonoses. These changes have far-reaching consequences, affecting not only human health but also the environment and the global economy. As such, it is essential that we take collective action to mitigate the effects of climate change and protect public health for future generations. This study aimed to investigate the level of perception, knowledge, and practices of Portuguese citizens regarding vector-borne zoonoses and their association with climate change. A descriptive cross-sectional study was conducted by distributing a survey to 147 individuals. The results showed that, on average, 80% of the respondents had knowledge about zoonoses and that the vector-borne zoonoses least recognized by the sample were Chikungunya virus and West Nile virus. About 93% of the study’s population reported feeling that, with each passing year, temperatures in the warmer months are getting higher, with more than half of the respondents reporting that they have felt an increase in the prevalence of vectors in the country in these months in recent years. The results also show that most of the participants, about 93%, considered that veterinarians did not provide sufficient information about vector-borne zoonoses. The results also showed that the sampled population was not prepared for the reality that is increasingly felt in Europe and Portugal, since only 42% of respondents used preventive measures for vectors, such as the use of repellents. Therefore, there is a need for increased education and awareness campaigns, as well as for veterinarians to play a more active role in the dissemination of information and prevention strategies.
Extend Plastron Longevity on Superhydrophobic Surface Using Gas Soluble and Gas Permeable Polydimethylsiloxane (PDMS)
Authors: Gupta Ankit , Ling Hangjian
Published: December 2024

The gas (or plastron) trapped between micro/nano-scale surface textures, such as that on superhydrophobic surface, is crucial for many engineering applications, including drag reduction, heat and mass transfer enhancement, anti-biofouling, anti-icing, and self-cleaning. However, the longevity of plastron is significantly affected by gas diffusion, a process where gas molecular slowly diffuses into ambient liquid. In this work, we demonstrated that plastron longevity can be extended using a gas soluble and gas permeable polydimethylsiloxane (PDMS) surface. Two types of surface textures: micro-posts and micro-holes, were fabricated on PDMS. The textured PDMS surfaces were immersed in an undersaturated liquid, and the longevity of plastron trapped on the PDMS was measured using an optical method. Our results showed that the plastron longevity increased with increasing the thickness of PDMS surface, suggesting that gas initially dissolved between the polymer chains was transferred to the liquid and delayed the wetting transition. Numerical simulations confirmed that a thicker PDMS material released more gas across the PDMS-liquid interface and resulted in a higher gas concentration near the plastron. Furthermore, we found that the plastron longevity increased with increasing pressure difference across the PDMS material, indicating that the plastron was replenished by the gas injected through PDMS. With increasing pressure, the mass flux caused by gas injection exceeded the mass flux caused by the diffusion of gas from plastron to liquid. Overall, our results provided new solutions to extend the plastron longevity and will have significant impacts to applications where a stable plastron is desired.
Hemocompatibility of Membrane Lung Components from Extracorporeal Membrane Oxygenation with Different Antithrombogenic Coatings
Authors: Thaus Christopher , Hofrichter Elena , Lubnow Matthias , Krenkel Lars , Lehle Karla
Published: December 2024

Thrombus formation within extracorporeal membrane oxygenation (ECMO) devices remained a critical complication. One reason seems to be the contact of blood with large artificial surfaces within the membrane lung (ML). The aim was to test the hemocompatibility of different naïve ECMO materials. Blood and platelets from five healthy volunteers were incubated with gas exchange (GF) and heat exchange fibers (HE) from four different commercial available new MLs representing different antithrombogenic coatings. Adherent platelets were stained with rhodamine-phalloidin. Surface coverage was quantified with ImageJ. Non-adherent platelets were stained with antibodies (CD62P, PAC-1, CD61) and fibrinogen to detect platelet activation with flow cytometry. Hemolysis of red blood cells after material contact was detected. All ECMO-materials were non-hemolytic and did not induce platelet activation. However, platetelet adhesion (median (IQR)) was significantly elevated on uncoated GFs made of polymethylpentene (GF-PMP; 12 (7-19)%) and on GFs from the Hilite-MLs (GF-Hilite; 13 ((8-19)%) compared to the other materials. In vitro testing of platelet adhesion disclosed significant differences of ECMO-materials with different antithrombogenic surface coatings. Instead, circulating platelets remained non-activated. ECMO-materials and its coatings were non-hemolytic. Finally, this study confirmed the good hemocompatibility of GFs and HEs from commerciall available MLs.
The Impact of Selected Components Used in Clinical Nutrition on Inflammation Caused Malnutrition a Literature Review
Authors: Raczyńska* Aleksandra , Koronowicz* Aneta , Skotnicki Piotr , Leszczyńska Teresa
Published: December 2024

Malnutrition is a disease leading to unfavourable changes. It affects 35-55% of hospitalized patients, and in the case of cancer even 40-90% of patients. Screening nutritional status allows for prevention of malnutrition, which will be an element as important as its treatment. Malnutrition in patients after severe injuries significantly increases catabolic changes. Cytokines and hormones such as epinephrine and cortisol are released, which among other things can increase energy expenditure by 50%. The effect of a properly conducted nutritional treatment is the maintenance or improvement of the nutritional status in patients whose nutrition with a natural diet is insufficient, as well as, in some cases, treatment of the underlying disease. Immunonutrition is characteristic for patients with neurological disorders or cancer. It is a regimen based on the supply of selected ingredients that have the ability to affect immunological and anti-inflammatory pathways. such substances are omega - 3 fatty acids, glutamine, arginine, nucleotides, antioxidants and prebiotic fiber.
Study a Collection of Watermelons for a Mutation Affecting Male Sterility
Authors: Velkov Nikolay Velkov
Published: December 2024

Systems favoring cross-pollination such as male sterility and female flowering type are of great importance in the development of new hybrid cultivars and their seed production. The advantages of male sterility are expressed in production of cheaper and competitive seeds. The presence of this characteristic in watermelon is not common, and in some cases, it is accompanied by negative manifestations. The aim of this study was to search for a genetic source of male sterility in a col-lection of watermelon. A collection of 150 watermelon genotypes was tested at the Maritsa Vege-table Crops Research Institute, Bulgaria over the past nine years. The results show that two mutations were found. The first mutation was found in a plant of the Asar variety, which formed completely degenerated structures in place of male and female flowers and could not reproduce. The other, a mutation affecting male flowers, female flowers and leaf shape was observed in one genotype. Male flowers produce a small amount of pollen. Female flowers are formed but they are sterile and abort at an early stage. The genotype can be propagated by pollination of the normal plants, which in the next generation derivate into mutant 25% and normal 75%. The gene source is phenotyped according to the main characteristics of the fruits and the vegetation period. The mutation found cannot be directly used in breeding program, but it is of interest for studying this important trait. The success of detecting sterility flowers depends on the volume of watermelon plants, which for the conditions of the experiment amounted to a minimum of 4492 plants at a probability of P3 – 0.95.
Fracture Analysis and a Novel Relation Between the Quality of Interface and the Fracture Energy to Epoxy Composites Reinforced with Medium and High Ramie Woven Fabric Volume Fractions
Authors: Machado Marcelo , Duarte Lopes Felipe Perissé , Simonassi Noan Tonini , de Carvalho Eduardo Atem , Fontes Vieira Carlos Maurício , Monteiro Sergio Neves
Published: December 2024

A literature review in the context of polymer composites reveals that the natural fibers have been widely used as reinforcement phase, at least, in the last two decades. In this development direction, the lignocellulosic fibers have been highlighted due to their environmental, thermomechanical and economic advantages to many industry sectors. This research aims to analyze experimentally the fracture of ramie woven fabric reinforced epoxy composite specimens subjected to Charpy test and based on specific theoretical knowledge, to state a novel relationship between the quality of interface and the fracture energy. To reach this objectives, the study is designed with three groups (40%, 50% and 60% of fiber volume fractions) of intact samples and three groups of C-UV aged specimens containing the same percentage of reinforcement. Afterwards, a fracture surface analysis is done to support the study about the samples fracture behavior and describe the referred relation introducing an interface quality variable. According to the results obtained, could be concluded that the relationship proposed is in congruence with the fracture surface characterizations made.
The First Report on the Artificial Cultivation Techniques of Buchwaldoboletus xylophilus (Boletales, Boletaceae, Buchwaldoboletus) in Southwest China
Authors: Yang Tianwei , Mu Hongjun , Dai Liming , Liu Jing , Xu Xinjing , Gao Feng , Fang Yiwei , Jian Sipeng , He Mingxia , Zhang Chunxia
Published: December 2024

Buchwaldoboletus xylophilus is an edible boletes species belonging to the family Boletaceae and the genus Buchwaldoboletus, is found in tropical and subtropical regions, and is known for its rare wild resources. In this study, wild B. xylophilus was isolated and cultured, and its biological characteristics and artificial cultivation techniques were studied. The results showed that the optimal carbon source, nitrogen source and inorganic salt for the mycelium growth of B. xylophilus were maltose, ammonium tartrate and magnesium sulfate, respectively. The most appropriate temperature is 28 ℃ and the pH value is between 5 and 6. The most effective combination was determined by orthogonal experiment as follows: glucose, ammonium nitrate, potassium dihydrogen phosphate and 28 ℃. The results of artificial cultivation in mushroom houses showed that the mycelium of B. xylophilus was strong and grew well on the culture medium. The mycelial growth rate is 4.54 mm/d, and the fungus bags are filled about 50 days after inoculation. The primordium is formed 9 to 14 days after covering with soil and the fruiting body matured in 6 ~ 8 days. The average yield of fresh mushrooms reached 131.07±29.38 g/bag, and the average biological efficiency reached 28.48±6.39 %. In this study, the artificial cultivation technology of B. xylophilus in mushroom house was reported for the first time. The fruiting bodies obtained through cultivation were identified by morphological and molecular biological methods. This technology offers benefits such as affordability, a brief cultivation cycle, substantial yields, and superior quality, making it ideal for industrial-scale and extensive cultivation.
Evaluation of a Serological Assay Based on Immunodominant Bi-Specific Peptides for Diagnosing Lyme Disease
Authors: Chino Mônica E.T.A , Bonoldi Virgínia L.N. , Pereira Rosa M. , Gazeta Gilberto S. , Napoleão-Pêgo Paloma , Carvalho João P.R.S. , Durans Andressa M. , Souza André L.A. , Morel Carlos M. , Provance-Jr David W. , De-Simone Salvatore Giovanni
Published: December 2024

Lyme-borreliosis (LB) is a tick-borne disease prevalent in many parts of the world, yet it remains largely unknown. This lack of awareness poses significant challenges for surveillance and diagnosis, requiring integrating epidemiological and clinical information. Additionally, the limited specificity and low titers of serological tests further complicate the diagnostic process. To address these issues, we investigated the molecular fine specificity of IgM antibody responses to five surface proteins of B. burgdorferi. Materials and Methods: We employed SPOT synthesis to screen for IgM epitopes and assess cross-reactivity through databank searches and ELISA. Validation was performed using ELISA and ROC curve analysis. Results: We identified ten IgM epitopes, of which four were classified as specific. The ELISA-peptide assay demonstrated a sensitivity of ≥ 87.3%, specificity of ≥ 56.2%, and accuracy of ≥ 66.6%. Two B. burgdorferi-specific epitopes, Bburg/02/huG, and Bburg/06/huG, were synthesized as polypeptides and reevaluated using ELISA with a panel of patient sera representing different pathologies. The results showed a sensitivity of 85.0% and a specificity of 100.0%, with significant differences in cross-reactivity between the leptospirosis and syphilis groups. Conclusions: These findings indicate that the identified peptide combinations could facilitate the development of new, highly specific serodiagnostic assays, thereby enhancing public health initiatives and epidemiological studies.
La corrupción como obstáculo de los derechos humanos
Authors: González Ramírez María Fernanda
Published: December 2024

La corrupción es un problema extendido a lo largo y ancho del mundo cuyos efectos más graves usualmente tienen lugar en países en desarrollo y en aquellos países más pobres. Formalmente, la corrupción es deﬁnida como el comportamiento que se desvía del deber formal por causa de ganancias privadas.
El derecho a la no discriminación en la vejez ¿una realidad?
Authors: Vargas Reyes Bertha Esperanza
Published: December 2024

Los principios de igualdad y no discriminación se han pautado como el eje vertebral de los derechos humanos, ya que su carácter universal establece que todas las personas sean tratadas de la misma manera, sin distinciones y con igualdad en las oportunidades de desarrollo. Esto quiere decir que sus derechos se respetarán y protegerán por igual.
La frontera como escenario en la vida de Cension
Authors: Rocha Pineda Carlos
Published: December 2024

El texto es una reseña sobre la novela Envio nuevamewnte el texto de La frontera como escenario en la vida de Cension (traducción al español). que explica ciertos elementos y condiciones historicas que se desarrollan en la novela. Proporcionando una idea global del objetivo de la traducción, las notas y el analisis que hace el autor de la traduccón el Maestro Josue Ortiz Luna.
Estudios disfuncionales: la nueva escuela de pensamiento del emprendimiento
Authors: Montiel Méndez Oscar Javier , Canales García Rosa Azalea , Alvarado Carrillo Araceli
Published: December 2024

El emprendimiento asume especial relevancia debido a los beneficios positivos para las economías nacionales y el desarrollo regional. Recientemente, se identifican investigaciones acerca del lado negativo, bajo la denominación Lado Oscuro del Emprendimiento (DSE); perspectiva que ha despertado un creciente interés por parte de los académicos. Sin embargo, se sostiene la necesidad de difundir este ángulo analítico dado que no se considera en ninguna de las escuelas de pensamiento empresariales existentes. Bajo un método de revisión de alcance, los hallazgos sugieren que es factible proponer una nueva Escuela de Pensamiento, bajo la denominación Estudios Disfuncionales del Emprendimiento (EDS) encaminada a proporcionar una base teórica respecto a los efectos negativos y disfuncionales. Lo precedente permitirá identificar factores adversos para los estudios presentes y futuros del emprendimiento e incidir en la formulación de políticas públicas hacia el ecosistema emprendedor y la educación emprendedora.
La administración de políticas de salud y la migración binacional de personas adultas mayores en la frontera Estados Unidos/México. El Caso de la Región de Ciudad Juárez/El Paso.
Authors: Llera Pacheco Francisco Javier , López-Nórez Ángeles
Published: December 2024

Este trabajo analiza la ausencia de políticas de salud hacia la población de personas adultas mayores que tienen al menos 10 años de haber emigrado de México hacia los Estados Unidos en la región fronteriza de Ciudad Juárez y El Paso. La investigación utilizó la Teoría Fundamentada, basada en una muestra de 24 participantes mayores de 60 años. Los resultados indican que una tercera parte de los participantes cruzan la frontera hacia México en busca de atención médica y necesitan viajar un promedio de 34 kilómetros. Se concluye que existe una ausencia de reconocimiento acerca de la migración de adultos mayores como un nuevo grupo demandante de atención y servicios médicos en Estados Unidos y que las instituciones de salud y los gobiernos locales fronterizos necesitan implementar esquemas innovadores de administración y diseño de políticas para atender coordinadamente los servicios médicos para este nuevo tipo de flujo migratorio desde México.
THE INFLUENCE OF DIFFERENT HARDNESS OF THE TOOL MATERIAL ON THE WEAR OF SHM GRINDING WHEELS AND THE SPECIFIC ENERGY INTENSITY OF GRINDING
Authors: Lavrinenko Valerii , Solod Volodymyr , Tyshchenko Volodymyr , Ostroverkh Yevgeniy
Published: December 2024

It was established that conditionally viscous-brittle tool materials (high-speed steels and hard alloys) behave in the same way with an increase in hardness: wheel wear and the specific energy consumption of their grinding decrease. As the hardness of brittle tool oxide-carbide ceramics increases, both wheel wear and the specific energy consumption of grinding, on the contrary, increase. That is, an increase in the hardness of viscous-brittle materials facilitates the separation of elementary chips, less energy is needed for this, and accordingly the wear of the wheel and the specific energy consumption of their grinding are reduced. On brittle ceramics, with increasing hardness, there is no change in chip removal, but harder sludge becomes more abrasive and, as a result, the wear of the wheel and the specific energy consumption of their grinding increase. The conclusion from the literature that hard and less plastic materials require relatively less specific energy for grinding is confirmed by us when comparing materials of approximately the same hardness - hard alloys and ceramics. In ceramics, the energy consumption of grinding is actually four times lower than that of hard alloys.
INFLUENCE OF DIAMOND BURNISHING ON CORE HEIGHT AN TEN-POINT HEIGHT
Authors: Ferencsik Viktoria
Published: December 2024

Diamond burnishing is a cold plastic forming process, which used as surface improvement finishing treatment after conventional chip removal procedures. This paper presents the experimental study of the impact of different burnishing parameters on 3D surface roughness on cylindrical low alloyed aluminium workpieces. To carry out comparative analysis, measurement of surface roughness was implemented before and after burnishing with an Altisurf 520 measuring device. The results enable a more accurate understanding of the processes that take place during the procedure and, for industrial applications, can help reduce machining time and costs by better defining the set-up parameters.
ADDITIVE TECHNOLOGIES IN CONSTRUCTION: TECHNICAL, ECONOMIC AND MANAGEMENT ANALYSIS
Authors: Garashchenko Yaroslav , Harashchenko Olena , Kucher Ruslan
Published: December 2024

The study is devoted to a comprehensive analysis of the introduction of additive technologies into modern construction production, revealing the technical, economic, and managerial aspects of concrete 3D-printing of architectural structures. The work systematically analyzes the evolution of additive manufacturing technologies and identifies the main structural types of 3D-printers (an additive machine for layer-by-layer construction of objects), including portal, robotic, mobile, and hybrid systems. A detailed study of the technological parameters of concrete 3D-printing with concrete mixtures is presented, in particular, optimal printing speed modes, layer parameters, criteria for shaping and quality of building structures. A comparative analysis of the technological capabilities of leading world equipment manufacturers, such as ICON, COBOD International, Apis Cor, and WinSun, is conducted. The economic analysis demonstrates significant advantages of additive technologies: reduction of construction time by 2-6 times, reduction of construction cost by 20-35%, and increase in the load-bearing capacity of structures. The study comprehensively explores the structure of capital and operational expenses associated with technology implementation. Special emphasis is placed on the management aspects of introducing additive technologies, highlighting the critical need for an interdisciplinary approach and knowledge integration across architecture, engineering, management, and computer modeling. The study determines the prospects for the development of concrete 3D-printing technology in the construction industry and outlines the main directions of further scientific research and practical implementation of innovative solutions. This study was developed between the Department of "Integrated Technologies of Mechanical Engineering" named after M. Semko of NTU "KhPI" and "Geopolimer" LTD to implement innovative technologies in the construction industry.
Impact of Nutritional Status on Pressure Ulcers and Death among Critically Ill Patients
Authors: Kim Miyeon , Yu Soyoung , Park Hye-Ja
Published: December 2024

Objectives: This study determined the impact of nutritional status on pressure ulcers and death among critically ill patients. Methods: The secondary data of 247 critically ill patients were retrospectively collected from the electronic medical record at a university hospital-affiliated intensive care units. Nutritional status was classified by normal nutrition, moderate malnutrition, and severe malnutrition using the Patient Generative Global Subjective Assessment. Pressure ulcers was assessed using the Braden Scale at the admission day and day 7. The 3-month death was evaluated from the intensive care units admission. Data were analyzed χ2 test, McNemar test, Kruskal-Wallis test with Bonferroni’s comparison and logistic regression. Results: Moderate and severe malnourished patients were 60.2% and 13.4%, respectively. The prevalence of pressure ulcer was 20.3% at day 7. The 3-month death rate was 21.1%. Body weight loss, oral intake reduction, poor masticatory function, nausea, prevalence of pressure ulcers, and death rate were higher in the severe malnourished patients. Moderate and severe malnutrition affected higher prevalence of pressure ulcers (odds ratio, OR: 3.83, 95% confidence interval [CI]: 1.20-12.20; 2.83, 95% CI: 1.23-6.49). Pressure ulcers affected higher death rate (OR: 2.48, 95% CI: 1.22-5.08). Moderate and severe malnutrition were associated with higher death rate (OR: 7.14, 95% CI: 2.17-23.81; OR: 2.46, 95% CI: 1.09-5.53). Conclusions: A targeted nutritional management program based on malnourished stages may be helpful to reduce the risks of pressure ulcers and death among critically ill patients.
The Impact of e-Health Literacy and Technological Self-efficacy on Older Adults’ Level of Digital Informatization
Authors: Ryu Sein , Chae Yeojoo
Published: December 2024

Objectives: The purpose of this study was to determine the level of digital informatization, e-health literacy, and technological self-efficacy among older adults aged 65 and older, and to identify factors that influence their level of digital informatization. Methods: The study included 150 people aged 65 and older. Data were analyzed using t-test, ANOVA, Pearson’s correlation and hierarchical regression analysis with SPSS statistics 27.0 program. Results: The results of the study showed that the level of digital informatization was significantly and positively correlated with e-health literacy and technological self-efficacy. In terms of factors affecting their level of digital informatization, technological self-efficacy, e-health literacy, and gender were found to be significant influencers, with a total explanatory power of 63.9%. Conclusions: To increase the level of digital informatization among older adults, further research is needed to develop and implement programs that include content to strengthen e-health literacy and technological self-efficacy, and to validate their effectiveness.
The Effect of Pre-basic Nursing Science Program for First-year Nursing Students
Authors: Kim Eun Hee
Published: December 2024

Objectives: The purpose of this study was to identify the effect of pre-basic nursing science program on academic resilience, learning agility and learning attitude in first-year nursing students. Methods: This study was a non-equivalent control group pretest-posttest quasi-experimental design. There were a total of 56 participants, consisting of 28 nursing students in the experimental group and 28 nursing students in the control group. Academic resilience, learning agility and learning attitude between the experimental and control groups were measured before and after the program participation. Data were collected from October 13 to November 10, 2023 by taking a self reported survey and analyzed by using chi-square test, Fisher’s exact test, independent t-test, and paired t-test with SPSS 25.0 program. Results: Homogeneity between the two groups was ensured before the program. After the program compared to before the program, there were no statistical differences in academic resilience (t=0.09, p=0.925), learning agility (t=0.91, p=0.366), and learning attitude (t=0.26, p=0.798) between two groups. On the other hand, the academic resilience (t=4.15, p<0.001), learning agility (t=4.34, p<0.001), and learning attitude (t=4.37, p<0.001) of the experimental group increased statistically significantly. Conclusions: According to these results, pre-basic nursing science program could be used to increase academic resilience, learning agility and learning attitude of first-year nursing students. In the future, more research is needed on the development of various basic science program for first-year nursing students.