bluuebunny/crossref_metadata_2025 huggingface dataset:
How Much Does the Dynamic F0 Curve Affect the Expression of Emotion in Utterances?
Authors: Yoon Tae-Jin
Published: October 2024

The modulation of vocal elements such as pitch, loudness, and duration plays a crucial role in conveying both linguistic information and the speaker’s emotional state. While acoustic features like fundamental frequency (F0) variability have been widely studied in emotional speech analysis, challenges remain in accurately classifying emotions due to the complex and dynamic nature of vocal expressions. Traditional analytical methods often oversimplify these dynamics, potentially overlooking intricate patterns indicative of specific emotions. This study aims to enhance emotion classification in speech by directly incorporating dynamic F0 contours into the analytical framework using Generalized Additive Mixed Models (GAMMs). We utilized the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS), focusing on eight distinct emotional states expressed by 24 professional actors. Sonorant segments were extracted, and F0 measurements were converted into semitones relative to a 100 Hz baseline to standardize pitch variations. By employing GAMMs, we modeled non-linear trajectories of F0 contours over time, accounting for both fixed effects (emotions) and random effects (individual speaker variability). Our analysis revealed that incorporating emotion-specific non-linear time effects and individual speaker differences significantly improved the model’s explanatory power, ultimately explaining up to 66.5% of the variance in F0. The inclusion of random smooths for time within speakers captured individual temporal modulation patterns, providing a more accurate representation of emotional speech dynamics. The results demonstrate that dynamic modeling of F0 contours using GAMMs enhances the accuracy of emotion classification in speech. This approach captures the nuanced pitch patterns associated with different emotions and accounts for individual variability among speakers. The findings contribute to a deeper understanding of the vocal expression of emotions and offer valuable insights for advancing speech emotion recognition systems.
Karyotype Analysis of Diploid and Autotetraploid of Eight Tartary Buckwheat Cultivars in China
Authors: Lian Likun , Zhang Pei , Wu Xiaofen , Zhang Yizhong , Chen Qingfu
Published: October 2024

The diploid and autotetraploid of the eight tartary buckwheat cultivars were used to make a karyotype study by the conventional squash method to establish a reference for polyploid breeding. In this study, the eight cultivars exhibited similar karyotypic features between diploids and autotetraploids. The chromosome number in diploids was found to be 2n=2x=16, while 2n=4x=32 in autotetraploids. T6, T9, T18, T22, T27 and T36 possessed one pair of SAT chromosomes, whereas T25 and T39 had two pairs of SAT chromosomes. Compared with diploids, the total number of chromosomes and SAT chromosomes doubled in autotetraploids. However, the karyotype of autotetraploids remained unchanged in all cases which belonged to the 2A type. The karyotype of the same crop with different ploidy in diploid and autotetraploid buckwheat is the same. These eight cultivars' karyotype and chromosome number of autotetraploids are reported for the first time.
Effects of Soil Compaction Stress Combined with Drought on Soil Pore Structure, Root System Development, and Maize Growth
Authors: Zhu Xiangming , Peng Wei , Xie Qingyang , Ran Enhua
Published: October 2024

Soil compaction is a major environmental stress to root development and plant growth. Meanwhile, drought always results in increasing soil mechanical impedance, which in turn aggravates soil compaction stress. In this study, a column experiment with three levels of compaction stress (low, moderate, and severe, respectively) and two levels of soil water content (well-watered and drought, respectively) was established to investigate the effects of soil compaction combined with drought on soil pore structure, root development and maize growth properties. Results showed that soil compaction combined with soil water stress significantly affected the characteristics of soil pore structure. With the increase of soil compaction, the porosity, larger pores (> 500 μm), and the maximum pore diameter significantly decreased (P < 0.05) regardless of soil water status. Additionally, pore morphology and network parameters were also deteriorated under soil compaction with drought conditions. Soil compaction substantially affected root length, root volume, root surface area and root average diameter in the whole profile (p < 0.05). Compared to well-watered conditions, the effects of soil compaction on root characteristics under drought conditions was more obvious, which indicated that appropriate soil water content could alleviate compaction stress. Aboveground biomass and plant height showed a consistent trend with root traits under soil compaction stress regardless of water status. Pearson’s correlation analysis showed that there were significant correlations between most soil pore parameters and maize growth traits. In addition, soil compaction showed a significant effect on stomatal conductance and transpiration rate while soil water showed a significant effect on SPAD.
Adapting and Verifying the Liming Index for Enhanced Rock Weathering Minerals as an Alternative Liming Approach
Authors: Araujo Francisco S.M. , Chacon Andrea G.M. , Porto Raphael F. , Cavalcante Jaime P.L. , Chiang Yi Wai , Santos Rafael M.
Published: October 2024

Acidic soils limit plant nutrient availability, leading to deficiencies and reduced crop yields. Agricultural liming agents address these issues and are crucial for deploying silicate amendments used in enhanced rock weathering (ERW) for carbon sequestration and emission reduction. Grower recommendations for liming agents are based on the liming index (LI), which combines the neutralizing value (NV) and fineness rating (FR) to predict a mineral’s acidity neutralization relative to pure calcite. However, the LI was originally developed for carbonate minerals, and its applicability to silicates remains uncertain, with studies often yielding inconclusive results on soil carbon and liming efficiency. This study aims to evaluate the liming efficiency of silicates. We determined the LI of five candidate ERW minerals (basalt, olivine, wollastonite, kimberlite, and montmorillonite) and compared them to pure calcite. Post-NV acid digestion, we characterized the minerals and soils, applying nonparametric statistical tests (Wilcoxon, Kendall) to correlate liming results with LI, dosage, and amendment methods. We developed an empirical model incorporating mineralogy and kinetics to explain silicate behavior in liming, considering soil, climate, and crop factors.
Exploring the Contrasts and Similarities of Dengue and SARS-CoV-2 Infections during the COVID-19 Era
Authors: García Alexis Hipólito , De Sanctis Juan Bautista
Published: October 2024

Extensive research has been conducted on the SARS-CoV-2 virus in association with various infectious diseases to understand the pathophysiology of the infection and potential co-infections. In tropical countries, exposure to local viruses may alter the course of SARS-CoV-2 infection and coinfection. Notably, only a portion of the antibodies produced against SARS-CoV-2 proteins demonstrate neutralizing properties, and the immune response following natural infection tends to be temporary. In contrast, long-lasting IgG antibodies are common after dengue virus infections. In cases where preexisting antibodies from an initial dengue virus infection bind to a different dengue serotype during a subsequent infection, there is a potential for antibody-dependent enhancement (ADE) and the formation of immune complexes associated with disease severity. Both SARS-CoV-2 and dengue infections can result in immunodeficiency. Viral proteins of both viruses interfere with the host’s IFN-I signaling. Additionally, a cytokine storm can occur after viral infection, impairing a proper response, and autoantibodies against a wide array of proteins can appear during convalescence. Most of the reported autoantibodies are typically short-lived. Vaccines against both viruses alter the immune response, affecting the course of viral infection and enhancing clearance. A comprehensive analysis of both viral infections and pathogenicity is revisited to prevent infection, severity, and mortality.
Evaluation of the Minimum Inhibitory Concentration of Polyphenols Combined with Saccharomyces cerevisiae as Antimicrobials for Growth of Listeria monocytogenes
Authors: Llorente Enrique  Salazar José , Mora Fernando Javier Cobos , Amaiquema Aurelio , Torres Brayan
Published: October 2024

This study used a completely randomized design with a bifactorial arrangement in triplicate to evaluate dif-ferent concentrations of flavonoid extracts from orange (Citrus sinensis), onion (Allium cepa), tamarillo (So-lanum betaceum) and cocoa (Theobroma cacao) peels in combination with the yeast Saccharomyces cerevisiae to inhibit the growth of Listeria monocytogenes in fruit juices. The shells were dehydrated at 50-57 °C for 8 hours and pulverized. The dehydration yields were: orange (32 %), onion (13 %), tamarillo (14 %) and cocoa (34 %). Flavonoids were extracted with Soxhlet using 70% ethanol for 5 hours, concentrating with a rotary evaporator. They were quantified by UV spectrophotometry and the Folin-Ciocalteu method, being the highest in orange (300,75-372,60 mg Q/L) and onion (205,70-534,96 mg Q/L), while tamarillo presented the lowest, with possible errors in the measurement. Soluble solids losses ranged from 2,30 g (cocoa) to 5,27 g (orange). Cocoa and orange extracts showed greater potential as natural preservatives, inhibiting the growth of Listeria monocytogenes in fruit juices, with a minimum inhibitory concentration of 300 µg/mL and 400 µg/mL, re-spectively.
The Efficacy of Lower Doses of Everolimus in Patients with Advanced Neuroendocrine Tumors
Authors: Taboada Rodrigo G , Brito Angelo B , Silva Ana Luiza , Weschenfelder Rui F. , Riechelmann Rachel P.
Published: October 2024

Everolimus 10 mg daily is approved to treat patients with advanced grade 1/2 neuroendocrine tumors (NET), although it may lead to significant toxicity. Grade 3 or higher drug-related adverse events and drug discontinuation occur in approximately one-fourth of the cases. However, phase I trials demonstrated that doses from 5 mg daily efficiently inhibit NET cell signaling. This multicenter retrospective study compared the time to treatment failure (TTF) in patients with NET who received a mean daily dose of 7 – 10mg (higher dose [HD]) or ≤ 6 mg (lower dose [LD]) of everolimus. Ninety-two patients were included: 74 (80%) in the HD group and 18 (20%) in the LD group. At a median follow-up of 4.2 years, the median time to treatment failure (TTF) was 9.2 months for HD and 7.2 months for LD (p = 0.85). TTF did not significantly differ between LD and HD (HR: 1.24, 95% CI: 0.68 - 2.25; p = 0.47), even after adjusting for age at treatment initiation, NET grade, or treatment line. Everolimus doses from 5 to 6 mg/day seem to be equally effective as higher doses, but lower doses are potentially associated with less toxicity and costs. These findings support validation through a randomized clinical trial.
Enhancing the Value of Arbutus unedo L. (Strawberry Tree) Through Chemical Innovation
Authors: Cruz-Lopes Luísa , Dulyanska Yuliya , Lopes Rogério , Domingos Idalina , Ferreira José , Esteves Bruno
Published: October 2024

Arbutus unedo (strawberry tree) is a small Mediterranean tree capable of vigorous regrowth after disturbances like fire. Traditionally used for biomass fuel, its bark and branches hold potential for higher-value products through ecovalorisation into liquid mixtures that could replace petro-leum-based materials. This study aimed to explore the chemical composition of various compo-nents of Arbutus unedo and to produce a liquefied material from its internal (IB) and external bark (EB). Chemical compositions of internal and external bark were determined using TAPPI standards including ash, extractive content, lignin, and cellulose. Metal cations were analyzed by ICP. Liquefaction of bark was optimized in a PARR reactor, evaluating factors such as particle size, temperature, and time and the best polyols were monitored by FTIR-ATR. Polyurethane foams were made with internal and external bark liquefied materials by polymerization with isocyanate, a catalyst and water as blowing agent. Results showed that EB has a higher extractive and lignin content, while IB contains more cellu-lose. Liquefaction yields were higher for IB (74%) than EB (68%), with IB yielding polyols that produced stronger and more resilient foams. Mechanical properties of the foams were influenced by the NCO/OH ratio and catalyst levels. Overall, the internal bark demonstrated superior performance for foam production, highlighting its potential as an eco-friendly alternative to petroleum-derived materials.
The Role of Geography in Economic Development: Insights from Historical and Modern Perspectives
Authors: Montgomery Richard Murdoch
Published: October 2024

Geography has been a fundamental determinant of economic development throughout history, influencing resource distribution, trade routes, climate conditions, and the spatial organization of economic activity. This essay delves into the multifaceted role of geography in shaping economic outcomes, drawing upon historical analyses and contemporary economic theories. By examining the historical origins of economic growth, the impact of geographical barriers and advantages, the influence of climate and natural resources, and the spatial distribution of industries, we explore how geographical factors contribute to international inequality and the divergent development trajectories of nations and regions. The discussion incorporates insights from seminal works, including Koyama and Rubin's "How the World Became Rich," Davis and Weinstein's analysis of the geography of economic activity, and Redding and Venables' exploration of economic geography and international inequality, among others. We also consider the roles of institutions, governance, and technology as mediating factors that can amplify or mitigate the influence of geography on economic development. By highlighting the interplay between geography and these mediating factors, the essay underscores the importance of tailored policy interventions that consider geographical realities. Understanding this complex relationship is essential for addressing global and regional disparities and formulating effective development strategies that leverage geographical advantages while mitigating disadvantages.
Strategies for Professors on How to Mitigate the Negative Effects of ChatGPT in Higher Education
Authors: Maciel Thiago
Published: October 2024

The research identified challenges faced by teachers, suggested effective pedagogical strategies, and proposed practical recommendations to mitigate the negative impacts of ChatGPT in higher education. These strategies promote the ethical and responsible use of artificial intelligence, ensuring academic integrity. The article deeply analyzes pedagogical strategies to prevent plagiarism and promote academic integrity, offering a practical guide for educators on how to ethically integrate AI into their pedagogical practices. By filling a gap in the literature, the study contributes to the discussion on the ethical use of AI in education, offering evidence-based recommendations and fostering critical reflection on the impact of emerging technologies in the academic environment. The research highlights effective pedagogical strategies to mitigate the negative effects of ChatGPT, promoting an educational approach that prevents plagiarism and encourages the ethical use of AI. Through documentary analysis of scientific articles and data coding according to Bardin's methodology, patterns and trends were identified for the development of innovative pedagogical practices. The qualitative approach included a literature review and content analysis of articles published in the last five years. The results indicated that, although ChatGPT can personalize teaching and support content development, it also increases the risk of plagiarism and reduces students’ critical engagement. To combat these challenges, it is suggested to create personalized assessments, promote critical thinking, and use plagiarism detection tools. Continuous teacher training and the development of clear policies on the ethical use of AI are essential to ensure academic integrity and quality of learning.
Portable Detection of Copper Ion Using Personal Glucose Meter
Authors: Du Bin , Chen Taoying , Huang Anqi , Chen Hanjun , Liu Wei
Published: October 2024

A simple and sensitive method for Cu²⁺ detection was developed using the Cu⁺-catalyzed alkyne-azide cycloaddition reaction, Fe3O4 magnetic nanoparticles (MNPs) as the reaction platform, and a portable blood glucose meter (PGM) as the detection method. Gold nanoparticles (AuNPs) were labeled with glucose oxidase (GOx) and alkyne-functionalized and terminally thiolated ssDNA (C1). In the presence of Cu²⁺ and ascorbate, the functionalized AuNPs were captured onto MNPs modified with azide-functionalized ssDNA (C2) via the Cu⁺-catalyzed alkyne-azide cycloaddition reaction. GOx on the AuNPs surface oxidized glucose (Glu) into gluconic acid and H2O2, reducing the Glu content in the reaction solution, which was quantitatively detected by the PGM. Under optimal conditions, the PGM response of the system showed a good linear relationship with the logarithm of Cu²⁺ concentration in the range of 0.05 to 10.00 μmol/L, with a detection limit of 0.03 μmol/L (3σ). In actual tap water samples, the spiked recovery rate of Cu²⁺ was between 92.30% and 113.33%, and the relative standard deviation was between 0.14% and 0.34%, meeting the detection requirements for Cu²⁺ in real water samples.
Tissue Engineering Construct for Articular Cartilage Restoration with Stromal Cells from Synovium vs Dental Pulp - A Pre-Clinical Study
Authors: Fernandes Tiago Lazzaretti , Santanna João Paulo Cortez , de Faria Rafaella Rogatto , Pastore Enzo Radaic , Bueno Daniela Franco , Hernandez Arnaldo José
Published: October 2024

Introduction: Cartilage injuries and osteoarthritis are very prevalent and considered a public health problem, as they are highly disabling and represent an economic burden. Mesenchymal Stromal Cells (MSCs) can be isolated from different tissues and have the immunomodulatory capacity to regulate local articular joint environment. This translational study aims to compare the cartilage restoration from MSCs from the synovial membrane (SM) and dental pulp (DP), by tissue engineered treatment in a Good Manufacturing Practices. Materials and Methods: A controlled experimental study in fourteen miniature pigs was performed, using scaffold-free Tissue Engineering Construct (TEC) from DP and SM MSCs, with 6 months follow-up. Total thickness cartilage defects were performed in both posterior knees. The defect was left empty on one side, and the other received TEC from DP (n=7) or from SM (n=7). MRI assessed morphology with the MOCART scoring system. T2 mapping assessed water and collagen fiber composition. Histology evaluated cartilage repair using the ICRS-2 score. Results: The mean MOCART value in the untreated group was 46.2 ± 13.4, while the group treated with TEC from SM was 65.7 ± 15.5 (p<0.05) and from DP was 59.0 ± 7.9 (n.s.). The T2 mapping showed a mean value of T2 of 54.9 ± 1.9 in the native cartilage and the untreated group exhibited a mean T2 value of 50.9 ± 2.4 (p<0.05). No difference was found between the native cartilage (54.9 ± 1.9) and the treated groups from DP (54.54 ± 1.47) and SM (54.31 ± 2.07). The ICRS-2 mean value was 42.1 ± 14.8 in the untreated group, 64.3 ± 19.0 in the group with TEC from SM (p<0,05) and 54.3 ± 12.2 (n.s.) from DP. Conclusion: MRI and histological analysis indicated that TEC treatment led to superior cartilage coverage and quality compared to the control group. TEC from SM demonstrated better results than the defect group in the histological assessment and had no difference to the treatment with TEC from the DP. In the MRI assessment, both DP and SM groups showed better results in comparison to the defect group.
Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network
Authors: Mantsis Damianos , Moumtzidou Anastasia , Lioumbas Ioannis , Gialampoukidis Ilias , Christodoulou Aikaterini , Mentes Alexandros , Vrochidis Stefanos , Kompatsiaris Ioannis
Published: October 2024

The detection of complex formations, initially suspected to be oil spills, is investigated using atmospherically corrected multi-spectral satellite images and deep learning techniques. Several formations have been detected in an inland lake in Northern Greece. Four atmospheric corrections (ACOLITE, iCOR, Polymer, and C2RCC) that are specifically designed for water applications are examined and implemented on Sentinel-2 multispectral satellite images to eliminate the influence of the atmosphere. Out of the four algorithms, iCOR and ACOLITE are able to depict the formations sufficiently; however, the latter is chosen for further processing due to fewer uncertainties in the depiction of these formations as anomalies across the multi-spectral range. Furthermore, a number of formations are annotated at a pixel level for the 10 m bands (Red, Green, Blue, and NIR), and a deep neural network (DNN) is trained and validated. Our results show that the 4-band configuration provides the best model for the detection of these complex formations. Despite not being necessarily related to oil spills, studying these formations is crucial for environmental monitoring, pollution detection, and the advancement of remote sensing techniques.
Diversity and Conservation of Mangrove and Associate Species
with Anticancer Properties: An Overview
Authors: Chan Hung Tuck , Wong Siu Kuin , Chan Eric Wei Chiang
Published: October 2024

In this article, the diversity of mangrove and associate species with anticancer properties are reviewed. Information included their scientific names, synonyms, common names, families and life-forms. Their anticancer properties are documented with description on cancer cell types, effects and mechanisms. Mangroves are exclusive species confined to the mangrove habitat. Plants that occur in the coastal environment and also in mangroves are associates or non-exclusive species. In this article, species with anticancer properties are 25 mangrove species belonging to 17 genera and 11 families, and 31 associate species belonging to 28 genera and 20 families possess. Most reported mangrove species are Avicennia marina and Ceriops tagal with five and four studies, respectively. Associate species most reported are Talipariti tiliaceum or Hibiscus tiliaceus with five studies, followed by Anacardium occidentale, Artocarpus altilis, Ceriops manghas, Pluchea indica and Pongamia pinnata with four studies each. In the conservation of mangrove and associate species with anticancer properties, in in-situ conservation, species are protected in their natural surroundings as ecosystems (e.g., virgin jungle reserves and Ramsar sites) while in ex-situ conservation, species are protected outside their natural habitats (e.g., arboreta and botanical gardens).
Diversity and Conservation of Mangrove and Associate Species with Anticancer Properties: An Overview
Authors: Chan Hung Tuck , Wong Siu Kuin , Chan Eric Wei Chiang
Published: October 2024

In this article, the diversity of mangrove and associate species with anticancer properties are reviewed. Information included their scientific names, synonyms, common names, families and life-forms. Their anticancer properties are documented with description on cancer cell types, effects and mechanisms. Mangroves are exclusive species confined to the mangrove habitat. Plants that occur in the coastal environment and also in mangroves are associates or non-exclusive species. In this article, species with anticancer properties are 20 mangrove species belonging to 13 genera and 11 families, and 26 associate species belonging to 24 genera and 17 families possess. Most reported mangrove species are Avicennia marina and Ceriops tagal with five and four studies, respectively. Associate species most reported are Talipariti tiliaceum or Hibiscus tiliaceus with five studies, followed by Anacardium occidentale, Artocarpus altilis, Ceriops manghas, Pluchea indica and Pongamia pinnata with four studies each. In the conservation of mangrove and associate species with anticancer properties, in in-situ conservation, species are protected in their natural surroundings as ecosystems (e.g., virgin jungle reserves and Ramsar sites) while in ex-situ conservation, species are protected outside their natural habitats (e.g., arboreta and botanical gardens).
Development Of Technology For Providing An-timicrobial Properties To Medical Disposable Masks
Authors: Dubinskaitė Kristina , Rubežienė Vitalija , Sankauskaitė Audronė
Published: October 2024

Wearing masks to protect against communicable diseases is an effective tool used in many countries affected by the COVID-19 pandemic. Antibacterial activity, antibacterial efficiency, microbial purity and breathability properties of medical disposable masks are very important. Ag is most commonly applied to antimicrobial textiles, but several studies are known about Ag nano-particles. In this work three antimicrobial additives were used. One of them Rudolf GmBH's RUCO-BAC AGP with silver chloride (AgCl) active ingredient also has antimicrobial activity. Four compositions of the binders with antimicrobial additives were prepared and applied to one-layer nonwoven PP material using screen printing, knife over roll coating and laminating machine methods. The influence of the binder antimicrobial polymer coating on the breathability and antibacterial activity of the nonwoven PP material was evaluated. Results had showed that the composition of the polyacrylic acid binder Tubicoat Thickener LP had the least effect on their breathability and samples with the RUCO-BAC AGP formulation had showed the best antimicrobial response. Therefore, further studies of the antimicrobial coating composition were performed using the binder Tubicoat Thickener LP and antimicrobial additives of different chemical nature and concentration - RUCO-BAC AGP, BI-OME AM10 and Nano Ag aqueous dispersion. Based on the microbiological and air permeability results of the samples of the one-layer nonwoven material with coating, the samples of two-layers and three-layers of medical mask model were prepared. Microbiological studies have shown that three-layered medical mask model with RUCO-BAC AGP composition in the middle layer, in both sides of the model has antibacterial efficiency against three pathogens (E. Coli, K. Pneumoniae, an S. Aureus). The performance of this medical mask model has been found to meet requirements for type I medical masks according to the EN 14863 standard. Study have shown that the microbial purity of the mask model is CFU/g <3.
Posterior Retroperitoneal Laparoscopic Adrenalectomy: An Anatomical Essay and Surgical Update
Authors: Feciche Bogdan Ovidiu , Barbos Vlad , Big Alexandru , Porav-Hodade Daniel , Cumpanas Alin Adrian , Latcu Silviu Constantin , Zara Flavia , Barb Alina Cristina , Dumitru Cristina-Stefania , Cut Talida Georgiana , Ismail Hossam , Novacescu Dorin
Published: October 2024

Posterior retroperitoneal laparoscopic adrenalectomy (PRLA) has emerged as a revolutionary minimally invasive technique for adrenal gland surgery, offering significant advantages over traditional open approaches. This narrative review aims to provide a comprehensive update on PRLA, focusing on its anatomical foundations, surgical technique, and clinical implications. We conducted an extensive review of the current literature and surgical practices to elucidate the key aspects of PRLA. The procedure leverages a unique "backdoor" approach, accessing the adrenal glands through the retroperitoneum, which necessitates a thorough understanding of posterior abdominal wall and retroperitoneal anatomy. Proper patient selection, meticulous surgical planning, and adherence to key technical principles are paramount for successful outcomes. The surgical technique is described step-by-step, emphasizing critical aspects such as patient positioning, trocar placement, and adrenal dissection. PRLA demonstrates reduced postoperative pain, shorter hospital stays, and faster recovery times compared to open surgery, while maintaining comparable oncological outcomes for appropriately selected cases. However, the technique presents unique challenges, including a confined working space and the need for surgeons to adapt to a posterior anatomical perspective. We conclude that PRLA, in the right clinical setting, offers a safe and effective alternative to traditional adrenalectomy approaches. Future research should focus on expanding indications and refining techniques to further improve patient outcomes.
Mixed Perturbation: Generating Directionally Diverse Perturbations for Adversarial Training
Authors: Hyun Changhun , Park Hyeyoung
Published: October 2024

The adversarial vulnerability of deep learning models is a critical issue that must be addressed to ensure the safe commercialization of AI technologies. Although numerous studies on adversarial defense methods are actively being conducted from various perspectives, most of them still provide limited robustness, and even the relatively trusted adversarial training is no exception. To develop more reliable defense methods, ongoing research exploring the properties and causes of adversarial vulnerabilities is essential. In this study, we focus on a hypothesis regarding the existence of adversarial examples: The adversarial examples represent low-probability “pockets” in the manifold. Assuming that the hypothesis holds true, we propose a method for generating perturbation: “mixed perturbation (MP)”, which aims at discovering diverse pocket samples in a defensive perspective. The proposed method generates perturbations by leveraging information from both the main task and auxiliary tasks in multi-task learning scenarios, combining them through random weighted summation. The generated mixed perturbation intends to maintain the primary directionality of the main task perturbation to improve the model’s main task recognition performance while introducing variability in the perturbation directions. We then utilize them for adversarial training to form more robust decision boundary. Through experiments and analyses conducted on five benchmark datasets, we validated the effectiveness of our proposed method.
Characterization of Lithraea molleoides Gum Films
Authors: Becerra Federico , Garro Maria Filomena , Melo Gisella , Masuelli Martin Alberto
Published: October 2024

Lithraea molleoides fruit gum (LMFG) is a valuable product obtained from the total hydrolysis of the fruit. The hydrolysis process involves three methods: thermal (LMFGT), basic (LMFGB), and acid (LMFGA). Through these methods, the aim is to break bonds and de-esterify polysaccharides, resulting in increased solubility and decreased molecular weight. The resulting hydrolysates are then combined with pectins in a 1:2 ratios to form films. In this study, the focus is on utilizing the hydrolysates of Lithraea molleoides gums for film applications, with an evaluation of their structural and physicochemical characteristics. The films produced exhibit excellent mechanical properties and low water vapor permeability, as well as exceptional thermal stability. These properties make them highly suitable for industrial films in pharmaceutical and food applications. This research highlights the potential of LMFG-based films as a viable solution for various industrial needs due to their outstanding performance across multiple parameters.
Long-Term Effect of Air Pollution on COPD Exacerbations: Airepoc Cohort in Bogota, Colombia
Authors: Herrera López Astrid Berena , Rojas Néstor Y. , Rojas Néstor Y , Sangrador José Luis Texcalac , Torres-Duque Carlos Arturo , Herrera Alejandro Casas , Arbeláez María Patricia , Herrera Víctor , Rodríguez-Villamizar Laura Andrea
Published: October 2024

(1)Background: Evidence on the association between air pollution and the risk of exacerbations of chronic obstructive pulmonary disease (COPD) is scarce and inconsistent. We aimed to analyze the association between long-term exposure to particulate matter with a diameter of less than 2.5 µm (PM2.5) and nitrogen dioxide (NO2) and exacerbation of COPD (COPD-E) in Bogotá, Colombia; (2) Methods: Retrospective cohort study of 722 COPD patients in the AIREPOC program of the Colombian Pneumological Foundation between 2018 and 2021. Exposure to PM2.5 and NO2 was estimated for residential locations using the inverse squared distance weighted regression (IDWR) method. Hazard Ratios (HR) were calculated for the first COPD-E during follow-up using Cox models, adjusted for meteorological, demographic, and clinical variables; (3) Results: COPD-E was associated with long-term exposure to PM2.5 (HR:1.03, 95%CI: 1.02-1.05) and NO2 (HR:1.05, 95%CI: 1.03-1.07) controlling for the effect of quality of life, history of COPD-E, Forced Expiratory Volume in One Second (FEV1) pre-bronchodilator and exposure to solar radiation. An association was found between COPD-E and concentrations ≥ 25µg/m3 of NO2 (HR:1.49, 95%CI: 1.12-1.98) but not with concentrations ≥15 µg/m3 of PM2.5; (4) Conclusions: This study suggests that people with COPD exposed to higher concentrations of PM2.5 and NO2 had an increased risk of COPD-E. Solar radiation was also associated with an increased risk of COPD-E. The results highlight the importance of continuing efforts to reduce air pollution.
Acidic Microenvironment Enhances Cisplatin Resistance in Bladder Cancer via Bcl-2 and XIAP
Authors: Hiruma Kaede
Published: October 2024

Cisplatin (CDDP) remains a key drug for patients with advanced bladder cancer (BC), despite the emergence of new therapeutic agents. Identifying factors contributing to treatment resistance to CDDP is crucial. The acidity of the tumor microenvironment has been reported to be associated with treatment resistance and poor prognosis across various cancer types. Our objective was to investigate the effects of an acidic environment on BC cells and elucidate the mechanisms behind CDDP resistance. Our findings show that BC cells cultured in acidic conditions developed resistance to cisplatin as acidity increased. Notably, CDDP administered to BC cells in a pH 6.0 environment required twice the concentration compared to pH 7.5 to achieve equivalent toxicity. Using chloroquine and navitoclax, we identified the involvement of Bcl-2 and LC3B pathways in the acquisition of CDDP resistance under acidic conditions. Western blot analysis revealed that the activation of Bcl-2 and XIAP expression appears to inhibit both apoptotic and autophagic cell death. These results suggest that alleviating the acidity of the tumor microenvironment in clinical settings might enhance BC sensitivity to CDDP.
Exploring the Next Generation of Metformin Derivatives and Their Biomedical Promise
Authors: Žídek Štěpán , Štěpánková Kateřina , Lehocky Marian
Published: October 2024

Metformin is a drug recommended as the first-line agent for the treatment of patients with type 2 diabetes mellitus due to its high efficiency and good safety profile. Additionally, literature has described its favourable effect in treating several other diagnoses. This review aims to summarize recent research on metformin modification and derivatization, which has led to agents with higher efficiency or expanded the application possibilities of metformin. Namely, buformin, phenformin, imeglimin, lixumistat, IM176 derivatives, moroxydine, proguanil, cycloguanil, metformin sulfenamides and sulphonamides, polypeptide derivative LysMET, artesinate-metformin conjugate AM2. Additionally, salts such as metformin hydrochloride, metformin hydrobromide, metformin hydroiodide, metformin acetate, metformin embonate, metformin threonate, metformin tartrate, metformin citrate, metformin mesylate and metformin maleate. The goal is to highlight recent research efforts and introduce perspectives for novel and effective biomedical substances within the still unexplored field.
Solvability of a Boundary Value Problem for One-Dimensional Motion of a Granular Matter
Authors: Akhmerova Irina , Papin Alexander , Pravdivtsev Artyom , Ustyuzhanova Alla
Published: October 2024

Granular material is one of the most common in nature. Recently, there has been a significant amount of interest in the granular materials, such as powders or sand. It is challenging to describe the motion of such kind of macroscopic size matter, because it behaves like solid, fluid or gas. Size division, pattern formation, avalanches, packing and convection - these are just a few examples from a wide range of observed phenomena that occur during the motion process of granular matter. Most of these processes are based by flow and no wonder that much effort has been devoted to obtain a hydrodynamic description in which granular materials are treated as a continuous medium. During the research of vertically shaken granular medium motion in an opened container it was found that experimental and numerical results are explained by hydrodynamic theory. This paper investigates the motion of a granular matter for a shallow, vertically shaken bed. We assume the Leidenfrost state as initial and the matter resembles a fluid heated up from below.A one-dimensional isothermal and a non-isothermal problem of granular material motion,simulatedby a hydrodynamic model are considered, and the material is assumed to be a continuous medium. The local temporal solvability of isothermal and non-isothermal initial boundary-value problem in Sobolev’s spaces is proved. This work presents a numerical study of the one-dimensional model of granular medium flow. The feature of this model is consideration of the Navier-Stokes equations accounting an interpolation form of VanderWaals constitutive equation for pressure. A finite-difference approximation for numerical solution is proposed
Determination of Pressure Jump Dependence and Time Constants of Hydraulic Pumps with Constant Pressure and Variable Flow
Authors: Petrović Radovan , Anđelković Maja , Ilic Ivana , Pantovic Vladan , Grujic Jelena Bojan
Published: October 2024

Simulations of the pump response time refer to the determination of the time constant of the transient process when the flow and pressure change. The changes mentioned in the standards are precisely defined and prescribed by the "MIL-P-19692E" norms. The simulation showed that the time constants are within the permissible limits prescribed by these norms. The diagram shows the responses for the considered pump and for the case when the flow changes from Qn to Qmin and changes from Qmin to Qn. The time constants t1 and t2 are defined on the diagrams, with the parameters that the pump has. In addition, the standards define the pressure jump that occurs during the transient process as well as time constants. From the flow change diagram, it can be seen that the flow change is also very fast and takes place in time intervals shorter than 0.1 s. By evaluating the size of the time constants, t1 and t2, it can be concluded that they have a value below 0.05 s, which meets the regulations in that area. Also, the size of the jump pressure meets the regulations because it is only 1.2 M Pa above the nominal pressure.
Multi-Phase Adaptive Recoding: An Analogue of Partial Retransmission in Batched Network Coding
Authors: Yin Hoover H. F. , Tahernia Mehrdad , Mak Hugo Wai Leung
Published: October 2024

Batched network coding (BNC) is a practical realization of random linear network coding (RLNC) designed for reliable network transmission in multi-hop networks with packet loss. By grouping coded packets into batches and restricting the use of RLNC within the same batch, BNC resolves the issue of RLNC that has high computational and storage costs at the intermediate nodes. A simple and common way to apply BNC is to fire and forget the recoded packets at the intermediate nodes, as BNC can act as an erasure code for data recovery. Due to the finiteness of batch size, recoding strategy is a critical design that affects the throughput, the storage requirements and the computational cost of BNC. The gain of the recoding strategy can be enhanced with the aid of a feedback mechanism, however the utilization and development of this mechanism is not yet standardized. In this paper, we investigate a multi-phase recoding mechanism for BNC. In each phase, recoding depends on the amount of innovative information remained at the current node after the transmission of the previous phases was completed. Relevant information can be obtained via hop-by-hop feedback, then a more precise recoding scheme that allocates networking resources can be established. Unlike hop-by-hop retransmission schemes, the reception status of individual packets does not need to be known, and packets to be sent in the next phase may not be the lost packets in the previous phase. Further, due to the loss-tolerance feature of BNC, it is unnecessary to pass all innovative information to the next node. This study illustrates that multi-phase recoding can significantly boost the throughput and reduce the decoding time as compared with the traditional single-phase recoding approach. This opens new window in developing better strategies for designing BNC, rather than sending more batches in a blind manner.
Material Metabolism of Infrastructure on An Inhabited Island: Resource Flow and Stock Growth
Authors: Guo Zhen , Feng Aiping , Zhang Zhiwei , Zhang Peidong , Ning Huanshan , Zhuang Yunling
Published: October 2024

Analyzing the material metabolism of infrastructure provides insights into resource flow and accumulation, offering policymakers new perspectives on resource management and planning. This study comprehensively analyzed the material stock (MS) of infrastructure on Miao Island using a bottom-up approach and Pleiades stereo images. Key findings include: (1) in 2020, the total in-use MS was 249.8 kt, with stone, gravel, and sand accounting for 80%. Transportation infrastructure held the largest share (40.8%), followed by non-residential buildings (30.1%), residential buildings (26.7%), and pipeline infrastructure (2.4%); (2) Stone and wood are abundant resources on the island, whereas steel, ceramics, aluminum, and glass are entirely dependent on external supply; (3) Over the past 40 years, the MS has grown significantly, with a net addition stock of 179.6 kt (256% growth). Development periods from 1980-1990, 2000-2005, and 2015-2020 were closely linked to China's reform and opening-up, infrastructure stimulus plans, and local government policies; (4) Compared to urban areas, Miao Island has lower construction intensity, with a per capita MS growth rate of 10.12 t/yr versus the national average of 13 t/yr. The steel stock in residential buildings is 15.62 kg/m², only 37.82% of the urban average. However, the potential conversion of infrastructure stock into waste still poses a significant challenge to the island's environmental carrying capacity.
Evaluation of Finger Movement Impairment Level Recognition Method Based on Fugl-Meyer Assessment Using Surface EMG
Authors: Suwito P Adhe Rahmatullah Sugiharto , Ohnishi Ayumi , Prawitri Yudith Dian , Rulaningtyas Riries , Terada Tsutomu , Tsukamoto Masahiko
Published: October 2024

Subjectivity has been an inherent issue in the conventional Fugl-Meyer assessment, which has been the focus of recognition research in several studies. This paper continues our previous work on a recognition method of finger movement impairment levels using EMG. In contrast to our previous work, this paper provided a better recognition result with an improved experimental setting, such as higher sampling frequency and number of EMG channels. A large number of patients was recruited to provide a reliable recognition performance. This paper employed two data processing mechanisms, inter-subject cross-validation (ISCV) and data-scaled inter-subject cross-validation (DS-ISCV), resulting in two evaluation methods. The employed machine-learning algorithms are SVM, random forest (RF), and multi-layer perceptron (MLP). The highest average recall score across impairment levels of 0.73 was achieved by MLP_ISCV in the spherical grasp task. Subsequently, the highest average recall score of non-majority classes of 0.72 was achieved by the SVM_DS-ISCV in the mass extension task. The cross-validation result showed that the proposed method effectively handled the imbalanced dataset without being biased toward the majority class. The proposed method demonstrated the potential to assist doctors in clarifying the finger movement impairment level.
High-Temperature Stone Behavior: Insights from a Global Heritage Stone Resources
Authors: Lobarinhas Roberta , Dionísio Amélia , Paneiro Gustavo
Published: October 2024

Throughout history, natural stone has been a crucial building material due to its strength, durability, and aesthetic qualities. Today, it continues to be a valuable resource, representing both a cultural heritage asset and a significant economic material. However, the increasing frequency of heat waves and fires driven by climate change poses a growing threat to stone building materials. This paper presents a literature review aimed at assessing the effects of high temperatures on Global Heritage Stone Resources (GHSR). GHSR is an international classification designed to enhance the recognition and status of building stones. The study identifies a critical need for research to better understand how those stone materials behave when exposed to high temperatures in order to predict and mitigate the effects of external threats such as fires.
Therapeutic Strategies to Target Immunotherapy Resistance in Non-Small Cell Lung Cancer (NSCLC)
Authors: Malhotra Jyoti , Huang Amy , Amini Arya , Lee Percy
Published: October 2024

Immunotherapy with programmed Cell Death Protein/Programmed Cell Death Ligand 1 (PD-1/PD-L1) targeting antibodies has transformed clinical outcomes for patients with non-small cell lung cancer (NSCLC) and has become an integral part of standard treatment regimens. However, the response to PD-1/PD-L1 inhibitors varies, and many tumors present with either primary or acquired resistance to immunotherapy. There are emerging data on potential mechanisms underlying resistance to immunotherapy which is derived mainly from either preclinical studies or secondary correlative analyses from clinical trials. Resistance to immunotherapy is complex and can present immediately after treatment initiation (primary resistance) or after initial clinical benefit (secondary or acquired resistance). The tumor microenvironment, particularly the presence, and activity of T cells, also significantly influences resistance with both tumor-extrinsic as well as tumor-intrinsic mechanisms such as lack of T-cell infiltration, insufficient neoantigens, or absence of an interferon signature identified as being associated with ICI resistance. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for the future development of effective therapies targeting immunotherapy resistance. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these.