bluuebunny/crossref_metadata_2025 huggingface dataset:
Critical Review of the Methodological Shortcomings of Ambulatory Blood Pressure Monitoring and Cognitive Function Studies
Authors: Hagheyagh Shahab , Hermida Ramon , Smolensky Michael , Jimenez Gallardo Mili , Duran-Aniotz Claudia , Slachevsky Andrea , Behrens Maria , Aguillon David , Santamaria-Garcia Hernando , García Adolfo , Matallana Diana , Ibáñez Agustin , Hu Kun
Published: October 2024

Growing evidence suggests that abnormal diurnal blood pressure rhythms may be associated with many adverse health outcomes including increased risk of cognitive impairment and dementia. This study evaluates methodological aspects of research on bidirectional associations between ambulatory blood pressure monitoring (ABPM) patterns and cognitive function. By examining the 28 recent studies included in a recent systematic review on association between ABPM patterns with cognitive function and risk of dementia, our review revealed several significant limitations in the current studies of ABPM and cognition in terms of study design, sample characteristics, ABPM protocol, cognitive assessment, and data analysis. The major concerns include lack of diversity in study populations with underrepresentation of Blacks and Latinos, a predominant focus on Alzheimer's disease or all-cause dementia without distinguishing other dementia subtypes, different and not standardized measures of cognition or dementia, the prevalent use of 24-hour monitoring without considering the adaption effect, inconsistent definitions of dipping status, and ignorance of individual differences in timings of daily activities such as bed and awakening times. In addition, confounding variables such as class, dose, and timing of antihypertensive medication are inadequately controlled or considered. Additionally, longitudinal studies were scarce examining the bidirectional relationship between ABPM patterns and cognitive decline over time. Collectively, these deficiencies undermine the reliability and generalizability of current findings. Addressing these methodological challenges is crucial for more comprehensive understanding of diurnal blood pressure rhythms in diverse populations and for developing an evidence-based guideline of ambulatory monitoring and control of blood pressure across the sleep-wake cycle to prevent cognitive decline and dementia.
Actionable Molecular Pathways in Colorectal Cancer
Authors: Duta-Ion Simona Gabriela , Juganaru Ioana Ruxandra , Hotinceanu Iulian Andrei , Dan Andra , Burtavel Livia Malina , Coman Madalin Codrut , Focsa Ina Ofelia , Zaruha Andra Giorgiana , Codreanu Patricia Christina , Bohiltea Laurentiu Camil , Rădoi Viorica Elena
Published: October 2024

Colorectal cancer (CRC) arises through a combination of genetic and epigenetic alterations that affect key pathways involved in tumor growth and progression. This review examines the major molecular pathways driving CRC, including Chromosomal Instability (CIN), Microsatellite Instability (MSI), and the CpG Island Methylator Phenotype (CIMP). Key mutations in genes such as APC, KRAS, NRAS, BRAF, and TP53 activate signaling pathways like Wnt, EGFR, and PI3K/AKT, contributing to tumorigenesis and influencing responses to targeted therapies. Resistance mechanisms, including mutations that bypass drug action, remain challenging in CRC treatment. The review highlights the role of molecular profiling in guiding the use of targeted therapies such as tyrosine kinase inhibitors and immune checkpoint inhibitors. Novel combination treatments are also discussed as strategies to improve outcomes and overcome resistance. Understanding these molecular mechanisms is critical to advancing personalized treatment approaches in CRC and improving patient prognosis.
FIDO2 Facing Kleptographic Threats by-Design
Authors: Kutyłowski Mirosław , Lauks-Dutka Anna , Kubiak Przemysław , Zawada Marcin
Published: October 2024

In this paper, we analyze the FIDO2 authentication scheme from the point of view of its resilience to kleptographic attacks. We show that despite its spartan design and apparent efforts to make it immune to dishonest protocol participants, the unlinkability features of FIDO2 can be effectively broken without a chance to detect it by observing the interactions. Similarly, a malicious authenticator can enable an adversary to seize the authenticator’s private keys and thereby enable impersonating the authenticator’s owner. As a few components of the FIDO 2 protocol are the source of the problem, we indicate that either their implementation details must be scrutinized during a certification process or one can introduce some minor local changes in the FIDO2 protocol that effectively disable attacks of this kind.
Beyond Fluoride: Exploring Silicon's Potential for Dental Repair and Caries Prevention
Authors: Oliveira Andressa Feitosa Bezerra , Costa Biane Maria Melo , Forte Anderson Gomes , Sousa Elizabeth Barreto Galvão , Nunes Vitória Régia Rolim , Andrade Arthur Felipe Brito , Cunha Juliellen Luiz , Fernandes Nayanna Lana Soares , Pereira Ana Maria Barros Chaves , Vilhena Fabiano Vieira , D’Alpino Paulo Henrique Perlatti , Sampaio Fábio Correia
Published: October 2024

This in vitro study evaluated the protective effect of a Si-containing toothpaste associated with different fluoride concentrations by reducing the depth of demineralized lesions in dentin after cariogenic pH cycling. Methods: Sixty bovine dentin blocks (4x4x2mm) were randomly assigned into five groups (n = 12/group): RGS1 (Si-toothpaste with 1450 ppm F), RGS2 (Si-toothpaste with 1100 ppm F), RGS3 (fluoride-free Si-toothpaste), negative control-NC (fluoride-free toothpaste), and positive control-PC (1450 ppm F toothpaste). The specimens underwent a three-day pH cycling model simulating the oral environment with twice-daily brushing. Mineral loss (ΔF) and lesion depth (ΔFmax) were assessed using quantitative light-induced fluorescence (QLF), and scanning electron microscopy (SEM) provided morphological analysis. Elemental analyses were determined with an energy-dispersive X-ray spectrometer (EDS). ANOVA/Tukey's test were used for data analysis (α = 5%). Results: The groups treated with fluoride silicon-toothpastes (RGS1, RGS2) significantly reduced the mineral loss and lesion depth compared to the PC group. The NC group exhibited the greatest mineral loss and lesion depth. SEM images revealed occluded superficial dentin tubules and a protective mineral layer in groups treated with Si-toothpaste, whereas no deposition (NC group) or a limited mineral deposition (PC group) was observed in the control groups. EDS confirmed Si in the toothpaste formulations. Conclusions: Findings suggest that Si-toothpastes favored protection against dentin demineralization even at a lower concentration or free of fluoride, with dentin tubule occlusion, thus consisting of a promising oral care product over traditional fluoride toothpastes.
Quantum Relativity ( Electric and Magnetic )
Authors: Ismail Ahmed Mohamed , Mohamed Samira Ezzat
Published: October 2024

This research answers the knowledge gap regarding the explanation of the quantum jump of the electron. This scientific paper aims to complete Einstein’s research regarding general relativity and attempt to link general relativity to quantum laws.
Melanoma Cells from Different Patients Differ in Their Sensitivity to Alpha Radiation Mediated Killing, Sensitivity Which Correlates with Cell Nuclei Area and Double Strand Breaks
Authors: Levy Or Itzhak , Altaras Anat , Binyamini Lior , Sagi-Assif Orit , Izraely Sivan , Cooks Tomer , Kobiler Oren , Gerlic Motti , Kelson Itzhak , Witz Isaac P. , Keisari Yona
Published: October 2024

Background/Objective: In this study, for the first time, we examined and compared the sensitivity of four patient-derived cutaneous melanoma cell lines to alpha radiation in vitro and analyzed it in view of cell nucleus area and the formation of double strand breaks (DSB). Melanoma cells sensitivity to alpha radiation was compared to photon radiation effects. Furthermore, we compared the sensitivity of the melanoma cells to squamous cell carcinoma. Methods: Human melanoma cell lines YDFR.C, DP.C, M12.C and M16.C, and the squamous cell carcinoma cell line, CAL 27, were irradiated in-vitro using Americium-241 as alpha-particle source. Cells were irradiated with doses of 0 to 2.8 gray (Gy). Cell viability, DNA DSB and nuclear size were measured. Results: 1. Alpha radiation caused death and proliferation arrest of all four melanoma cell lines, but inter-tumor heterogeneity was observed. 2. The most sensitive cell line (DP.C) had a significantly larger nucleus area (408 mM2) and the highest mean number of DSB per cell (9.61) compared to more resistant cells. 3. The most resistant cell, M16.C, had a much lower nucleus area (236.99 mM2) and DSB per cell (6.9). 4. Alpha radiation was more lethal than photon radiation for all melanoma cells. 5. The SCC cell, CAL 27, was more sensitive to alpha radiation than all melanoma cells, yet, had a similar number of DSB (6.67) and nucleus size (175.49 mM2) as the more resistant cells. 6. The cytotoxic effect of alpha radiation was not affected by proliferation arrest after serum starvation. 7. Killing of cells by alpha radiation was marginally elevated by ATR or topoisomerase 1 inhibition. Conclusions: This study demonstrates that various human melanoma cells can be killed by alpha radiation but exhibit variance in sensitivity to alpha radiation. Alpha radiation applied using Intra-tumoral Diffusing alpha-emitters Radiation Therapy (Alpha DaRT) methodology may serve as an efficient treatment for human melanoma.
Innovative Bioceramic Based on Hydroxyapatite with Titanium Nanoparticles as Reinforcement for Medical Application
Authors: Porras-Herrera Dafne Rubi , Herrera-Hernández Héctor , Miranda-Hernández José Guadalupe , Castillo-Robles José Adalberto , Armendariz-Mireles Eddie Nahúm , Calles-Arriaga Carlos Adrián , Rocha-Rangel Enrique
Published: October 2024

Biomaterials have assumed a decisive role in modern medicine by enabling significant advancements in medical care practices. These materials are designed to interact with biological systems, offering substantial solutions for various medical needs. In this research, bioceramic materials consisting of a bioactive hydroxyapatite-based matrix with Ti nanoparticles, were processed as promising materials. These bioceramics were obtained using mechanical milling, uniaxial pressing, and sintering as powder processing techniques. This study evaluates the effect of Ti additions on the structural, electrochemical, and mechanical properties of the hydroxyapatite ceramic material. Titanium additions were about 1, 2 and 3 wt%. The experimental results demonstrate that the biocomposite's structure has two hexagonal phases: one corresponding to the hydroxyapatite matrix and the other to the Ti as a reinforced phase. The biomaterials' microstructure is completely fine and homogeneous. The biomaterial reinforced with 1wt. % Ti exhibits the best mechanical behavior. In this context, Electrochemical tests reveal that bio-ceramics can achieve stability through an ion adsorption mechanism when exposed to a physiological electrolyte. Bioceramics, particularly those containing 1%Ti, develop their bioactivity through the formation a high-density hydroxide film during a porous sealing process at potentials around −782.71 mV, with an ionic charge transfer of 0.43x10-9 A/cm2. Finally, this biofilm behaves as a capacitor Cc = 0.18 nF/cm2, resulting in lower ionic charge transfer resistance (Rct = 1.526x106 Ω-cm2) at the interface. This mechanism promotes the material’s biocompatibility for bone integration as an implant material.
Grapefruit-Derived Vesicles Loaded with Recombinant HSP70 Activate Antitumor Immunity in Colon Cancer In Vitro and In Vivo
Authors: Garaeva Luiza , Komarova Elena , Emelianova Svetlana , Putevich Elena , Konevega Andrey L , Margulis Boris , Guzhova Irina , Shtam Tatiana
Published: October 2024

Stress protein HSP70 administered exogenously demonstrated high potential as efficient adjuvant in anti-tumor immune response. To enhance the antigen-presenting activity and stability of pure HSP70 we suggest here its incorporation in nanometer vesicles made of plant juice. Earlier we found such packing in grapefruit-derived extracellular vesicles (GEV) was able to store the protein with no loss of its major function, chaperonic activity. To check whether HSP70 in composition of GEV can elicit immune response we purified the vesicles, loaded them with recombinant human HSP70 (GEV-HSP70) and after characterization of the protein quantity and activity injected in Balb/c mice with growing CT-26 colon carcinoma tumor. The injections course reduced the tumor growth rate by 40% and expand the life span by 50%; the effect was corroborated with lowering of TGF-b1 and Il-10 levels in blood; this is comparable to the effect of soluble HSP70 with a concentration 25 times higher than that of GEV-HSP70. In vitro analysis of immunomodulatory activity of GEV-HSP70 showed that anti-tumor response in GEV-HSP70-treated mice was associated with the accumulation of CD8+ cells. These results demonstrate high feasibility and efficacy of novel HSP70-based technique in activation of the specific response to colon tumors.
10MW FOWT Semisubmersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO
Authors: DRABO SOULEYMANE , Lai Siqi , Liu Hongwei , Feng Xiangheng
Published: October 2024

Floating offshore wind turbine (FOWT) systems are advancing quickly, but they still need to become economically viable for large-scale commercial adoption. Design optimization is essential for reaching this objective by reducing costs while ensuring the best possible system performance and structural integrity. The present study aims to carry a comparative multi objective optimization (MOO) of a 10MW FOWT semisubmersible using three different metaheuristic optimizations technics and sophisticated approach for optimizing a floating concept through the utilization of global limit states. The optimization is performed in Python, integrating PyMAPDL and PyMOO for intricate modeling and simulation tasks. The ZJUS10 floating offshore wind turbine (FOWT) platform, developed by the state key laboratory of wind power at Zhejiang University, is employed as the basis for this study. Key criteria, such as platform stability, overall structural mass, and the stress, are pivotal in formulating the objective functions. Based on a preliminary study the three Metaheuristic Optimization Algorithms chosen for optimization are Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Ant Colony Optimization (ACO). Then, the solutions are evaluated based on Pareto dominance, leading to a Pareto front, a curve that represents the best possible trade-offs among the objectives. Each algorithm's convergence is meticulously evaluated, leading to the selection of the optimal design solution. The results evaluated in simulations elucidate the strengths and limitations of each optimization method, providing valuable insights into their efficacy for complex engineering design challenges. In the post-processing phase, the performance of the optimized FOWT platforms is thoroughly compared both among themselves and with the original model, resulting in validation and endorsement.
Optimized Synthesis of Dinitrochalcones via Ultrasonic Bath in a Cyclohexane-Methanol Solvent System
Authors: Hidalgo Alam Yair , Torres-Sauret Quirino , Lobato-García Carlos Ernesto , Ramos-Rivera Erika Madeyne , Roa de la Fuente Luis Fernando , Gómez-Rivera Abraham , Vilchis-Reyes Miguel Ángel , Alarcón-Matus Erika , Hernández-Abreu Oswaldo , Romero-Ceronio Nancy
Published: October 2024

This study describes the efficient synthesis of five dinitrochalcones (DNCH) using an ultrasonic bath as an unconventional method to improve reaction yields and reduce reaction times. The Claisen-Schmidt condensation of nitroacetophenones and nitrobenzaldehydes was carried out in a cyclohexane-methanol solvent system under ultrasonic irradiation, achieving yields between 56% and 92%. The application of ultrasound not only accelerated the reaction but also improved the overall efficiency compared to conventional methods such as magnetic stirring. Characterization of the synthesized compounds was performed by NMR spectroscopy, confirming the consistency of their structures. Thus, it is confirmed that obtaining DNCH with a nitro group in ortho provide by ultrasonic irradiation is an energetically efficient and environmentally friendly alternative.
D-Dimers and MPO Are No Suitable Biomarkers for Application in Abdominal Aortic Aneurysm (AAA) Surveillance in a Real-World Setting of Vascular Surgery Patients
Authors: Siegrist Hans , Spieler Anja , Peters Andreas Sebastian , Passek Karola Hedwig , Boeckler Dittmar , Dihlmann Susanne
Published: October 2024

There is currently no clinically valid biomarker for predicting the growth and prognosis of abdominal aortic aneurysms (AAA). The most promising candidates with highest diagnostic values are plasma D-dimers and markers of activated neutrophils, i.e. myeloperoxidase (MPO) or cell-free DNA. So far, case-control studies on these markers were almost exclusively performed by using healthy individuals for control. To validate the value of these markers in the clinical setting of a vascular surgery department, we analysed the diagnostic and prognostic potential of plasma D-dimers and MPO in 177 AAA patients versus 138 non-AAA patients with different vascular diseases. Significantly elevated levels of D-dimers were recorded for AAA patients compared with non-AAA patients, although the difference between the two groups was significantly smaller than in other studies comparing AAA patients with healthy controls. Surprisingly, MPO levels were significantly higher in non-AAA patients than in AAA patients. After adjusting for the confounding factors sex, peripheral artery disease (PAD) and internal carotid stenosis in multivariate regression models, neither D-dimers nor MPO remained independent correlates of AAA. In contrast, D-dimer plasma levels correlated well with the maximal aortic diameter. Combined analysis of D-dimers and circulating cell-free DNA levels derived from a previous study, failed to improve the predictive values for the maximal aortic diameter. In conclusion, our data show that D-dimers and MPO are no suitable biomarkers for monitoring AAA in a real-world setting of mixed vascular surgery patients.
Human Cytochrome P450 Cancer-Related Metabolic Activities and Gene Polymorphisms
Authors: Mokhosoev Innokenty M. , Astakhov Dmitry V. , Terentiev Alexander A. , Moldogazieva Nurbubu T.
Published: October 2024

Human CYP1-CYP4 families play crucial roles in the biosynthesis, bioactivation, and detoxification of a diverse range of chemicals including xenobiotics, steroid hormones, vitamins, bile acids, procarcinogens, and drugs. The same CYP isoform can be involved in the conversion of different substrates via both bioactivation and detoxification reactions depending on a substrate type. Furthermore, the same CYP isoform can convert the same substrate to different products depending on a tissue type. On the contrary, different CYP isoforms can convert the same substrate to a variety of products, either more toxic or less toxic than their parent compound. The metabolic diversity and dual character of biological effects dictate limited number of cancer types, in which CYPs are implicated. In our review, we highlight the latest advancements and current understanding of molecular mechanisms of the development of hormone-sensitive cancers tumors based on dysregulated CYP expression and mutagenic adduct formation. We discuss the variations in CYP activities including CYP gene polymorphisms, which affect interindividual differences in cancer and drug susceptibilities. We show that there is only limited data indicating the statistically significant association between CYP gene polymorphisms and cancer among different populations. The involvement of CYPs in anticancer drug metabolism associated with drug-drug interactions and drug resistance is also discussed.
Early Origins and Evolution of Vertebrates: From Cambrian Chordates to the First Vertebrate Radiation
Authors: Montgomery Richard Murdoch
Published: October 2024

The emergence of vertebrates represents one of the most significant evolutionary transitions in animal history. The earliest definitive vertebrate fossils appear in the Lower Cambrian Period (approximately 525-520 million years ago), with Myllokunmingia fengjiaoa and Haikouichthys ercaicunensis from the Chengjiang biota of China being among the oldest known specimens. These early vertebrates evolved from chordate ancestors, likely similar to modern lancelets (amphioxus). The key transition occurred through the development of neural crest cells, a mineralized skeleton, and a more complex brain. The foundation for vertebrate origins was laid in the Pre-Cambrian with early chordates like Pikaia gracilens, which exhibited basic chordate characteristics. The early Cambrian period witnessed a rapid diversification of vertebrate forms, leading to the establishment of major vertebrate lineages, including both jawless (agnathan) and later jawed (gnathostome) groups.
Reduction of Atmosphere Pollution as Basis of a Regional Circular Economy: Evidence from Kazakhstan
Authors: Adambekova Ainagul , Kozhagulov Saken , Quadrado Jose Carlos , Salnikov Vitaliy , Polyakova Svetlana , Tazhibayeva Tamara , Ulman Alexander
Published: October 2024

Reducing atmospheric emissions through the introduction of circular economy principles is one of the current tasks of sustainable regional development. The research purpose is to study the impact of the actions taken by Karachaganak Petroleum Operating B.V. (KPO) in order to reduce air pollution, and basing on it, to evaluate the forming potential of the circulating economy in one of the biggest regions of Kazakhstan in which KPO is operating. Oil and gas production activities of the company is related to air pollution of the region. The study was conducted using methods of econometric modeling, statistical and comparative analyses. The study’s value is determined by its interdisciplinary approach, which made it possible to combine environmental and economic criteria for sustainable regional development with the features of emissions and waste management technologies in industry. Studying the work experience and analyzing the impact of KPO on the development of the region in the period 2012-2022 made it possible to construct a matrix of the restorative potential of the circular economy of the region. A model for the formation of a circular economy is proposed, which is based on the introduction of innovations, investments in environmental protection, the use of the best available technologies for reinjecting gas into the reservoir, increasing energy efficiency, recycling of waste, which made it possible to significantly (2.2 times) reduce the amount of air pollution in region. According to the forecast model (2024-2028), it was determined that in case of maintaining independent indicators’ certain dynamic of development, the level of atmospheric emissions by KPO could be reduced by 2 times. The results of the scientific work contain statements proving that further researches on the problems of reducing atmospheric pollution within the framework of the formation of a circular economy are quite perspective and promising. The results of the study might be interesting and used when implementing measures to manage air quality in the region by managers, heads of organizations, state and local authorities, and researchers interested in promoting the ESG concept of sustainable development.
Optimization of the Monte Carlo Simulation to Improve the Calibration Uncertainty of Volume Meters for Hydrocarbons Custody Transfer
Authors: Garcia-Berrocal Agustin , Montalvo Cristina , Carmona Pablo , García-Álvarez Raúl
Published: October 2024

The adaptive implementation of the Monte Carlo Method (AMCM) has been applied to optimize the calibration uncertainty of a positive displacement meter against a standard tank in an ISO 17025 accredited volume laboratory. These meters are used for custody transfer in liquid hydrocarbon logistics where any reduction in the uncertainty estimation may have an important economic impact. Several innovations are proposed when applying AMCM; regulation of AMCM convergence by applying the Student's t-distribution, validation of repeatability and filtering of outliers by performing 50 iterations of the AMCM, and characterization of the measurand's Probability Density Function (PDF) which results in a Flatten Gaussian. This work proves that GUM method does not assign the correct PDF. The uncertainty estimation is reduced 7.1 % compared to GUM method.
Numerical Simulations of Thermodynamic Processes in the Chamber of Liquid Piston Compressor for Hydrogen Applications
Authors: Bezrukovs Valerijs , Bezrukovs Vladislavs , Konuhova Marina , Bezrukovs Deniss , Kaldre Imants , Popov Anatoli I.
Published: October 2024

This paper presents the results of numerical simulations examining the thermodynamic processes during hydraulic hydrogen compression, using COMSOL Multiphysics® 6.0. These simulations focus on the application of hydrogen compression systems, particularly in hydrogen refueling stations. The computational models employ the CFD and Heat Transfer modules, along with deforming mesh technology, to simulate gas compression and heat transfer dynamics. The superposition method was applied to simplify the analysis of hydrogen and liquid piston interactions within a stainless-steel chamber, accounting for heat exchange between the hydrogen, the working fluid, and the cylinder walls. The study investigates the effects of varying compression stroke durations and initial hydrogen pressures, providing detailed insights into temperature distributions and energy consumption under different conditions. The results reveal that the upper region of the chamber experiences significant heating, highlighting the need for efficient cooling systems. Additionally, the simulations show that longer compression strokes reduce the power requirement for the liquid pump, offering potential for optimizing system design and reducing equipment costs. This study offers crucial data for enhancing the efficiency of hydraulic hydrogen compression systems, paving the way for improved energy consumption and thermal management in high-pressure applications.
Calibration and Performance Evaluation of Cost-effective Capacitive Moisture Sensor in a Slope Model Experiments
Authors: Hidayat Muhammad , Hazarika Hemanta , Kanaya Haruichi
Published: October 2024

Understanding the factors that contribute to slope failures, such as soil saturation, is essential for mitigating rainfall-induced landslides. Cost-effective capacitive soil moisture sensors have the po-tential to be widely implemented across multiple sites for landslide early warning systems. How-ever, these sensors need to be calibrated for specific applications to ensure high accuracy in readings. In this study, a soil-specific calibration was performed in a laboratory setting to integrate the soil moisture sensor with an automatic monitoring system using the Internet of Things (IoT). This re-search aims to evaluate a low-cost soil moisture sensor (SKU:SEN0193) and develop calibration equations for the purpose of slope model experiment under artificial rainfall condition using silica sand. The results indicate that a polynomial function is the best fit, with a coefficient of determi-nation (R²) ranging from 0.92 to 0.98 and a root mean square error (RMSE) ranging from 1.17 to 2.67. The calibration equation was validated through slope model experiments, with soil samples taken from the model after the experiment finished. Overall, the moisture content readings from the sensors showed approximately a 10% deviation from the actual moisture content. The findings suggest that the cost-effective capacitive soil moisture sensors has the potential to be used for the development of landslide early warning system.
Dynamics of Neutron Transfer in the Reaction 3He+9Be
Authors: Azhibekov Aidos K. , Almanbetova Englik K. , Naumenko Mikhail A. , Mendibayev Kairat O. , Lukyanov Sergey M. , Issatayev Talgat G. , Urazbekov Bakhytzhan A. , Kabyshev Asset M. , Dyussebayeva Kuralay , Zholdybayev Timur K.
Published: October 2024

The paper presents the results of experiments on measuring cross sections for the neutron transfer channels 9Be(3He,α)8Begs,3.03 in the reaction of the 3He (30 MeV) ions with the 9Be target. To describe the angular distributions, we use the Distorted Wave Born Approximation (DWBA) method (FRESCO code). The results of the theoretical analysis are in agreement with the experimental data. In addition, we perform calculations based on the solution of the time-dependent Schrödinger equation (TDSE) for the weakly bound neutron of the 9Be nucleus. The TDSE approach allows us to determine the dynamics of the neutron transfer process and calculate the probabilities for the transfer and removal of the neutron of the 9Be nucleus in the 3He+9Be reaction.
Reduced Listening Effort with Adaptive Binaural Beamforming in Realistic Noisy Environments
Authors: Valderrama Joaquin T. , Mejia Jorge , Wong Angela , Herbert Nicholas C. , Edwards Brent
Published: October 2024

This study evaluates the effectiveness of adaptive binaural beamforming in a realistic cafeteria noise environment. The motivation stems from the common challenge faced by hearing aid users in such environments, where communication often demands significant mental effort. The study employed a combination of behavioural, neurophysiological, and self-reported measures to assess speech intelligibility and listening effort. Results showed that the adaptive binaural beamformer improved speech-in-noise intelligibility at signal-to-noise ratios (SNRs) yielding 80% and 95% intelligibility. Additionally, when this technology was enabled, listening effort was reduced across various metrics: faster reaction times on a dual task, decreased pre-stimulus alpha power (8-12 Hz), indicating less inhibition was needed, and increased alpha power during the encoding and retention phases, consistent with greater working memory load due to improved intelligibility. Self-reports indicated lower perceived effort in the more challenging SNR condition. The use of realistic background noise enhances the ecological validity of the findings, contributing to a better understanding of how this hearing aid technology performs in real-world listening environments. Overall, the study demonstrates that adaptive binaural beamforming can ease the cognitive burden on users in noisy, everyday environments, thereby enhancing their overall auditory experience.
Protocol For The Determination Of Total Iodine In Iodized Table Salts Using Ultra High-Performance Liquid Chromatography
Authors: Jamilan Mohd Azerulazree , Abd Rashed Aswir , Md Noh Mohd Fairulnizal
Published: October 2024

Background/Objectives: Potassium iodate and potassium iodide were commonly fortified in iodized table salt, where continuous monitoring is needed to maintain the quality. Our study reported an optimized detection method for total iodine in iodized table salt using 0.5 M sodium bisulfite as reducing agent; Methods: The iodized table salt (0.5 g) was dissolved in 0.5 M sodium bisulfite solution prior to injection in ultra high-performance liquid chromatography (UHPLC) coupled with diode array detector using weak anion-exchange column (2.1 mm×150 mm, 5 μm); Results: Iodide was eluted at 9.92±0.06 minutes (λ=223 nm) when isocratic mobile phase of 1:1 (v/v) methanol:120 mM phosphate buffer mixed with tetrasodium pyrophosphate (pH 3.0) was running at 0.20 mL/min (15 minutes). Iodide detected as total iodine from 10 to 60 mg/Kg with limit of detection (LOD) 1.2 mg/Kg and limit of quantification (LOQ) 3.7 mg/Kg. The method was validated with relative standard deviation (RSD) of 4.2%, 0.4%, 1.6%, 0.8% for accuracy, repeatability, intermediate-precision and robustness, respectively. The determination of total iodine was successful on six (6) samples (n=3), which recovered 87.2%-106.9% of iodate and iodide spike; Conclusions: Thus, the study provided a validated protocol for the determination of total iodine in iodized table salt using 0.5 M sodium bisulfite.
Implementation of Mycoplasma genitalium Diagnostics with Macrolide-Resistance Detection Improves Patient Treatment Outcomes in Bulgaria
Authors: Philipova Ivva , Mademova Maria , Birindjieva Elena , Milanova Venelina , Levterova Viktoriya
Published: October 2024

Background: The increasing prevalence of Mycoplasma genitalium infections with macrolide resistance causing high azithromycin failure rates is a major concern internationally. In response to this challenge, diagnostics that simultaneously detect M. genitalium and genetic markers for macrolide resistance enable the therapy to be individually tailored, i.e. to implement resistance-guided therapy (RGT). Objectives: This study aimed to evaluate patient treatment outcomes of M. genitalium therapy guided by a macrolide-resistance assay in Bulgaria; Methods: Consecutively referred M. genitalium infection cases (n=17) were analyzed for macrolide-resistance mutations (MRMs) and specific antimicrobial treatment was recommended accordingly (MRMs-negative infections received azithromycin and MRMs-positive received moxifloxacin). Treatment outcome based on test-of-cure was recorded and treatment failure rates and time to microbiological cure were compared with treatment outcomes in patients treated before the implementation of RGT; Results: Among patients given RGT (n=17), the overall treatment failure rate was 1/17 (5.9%). This was significantly lower than the rate (47.6%) observed in patients treated pre-RGT (p=0.002). The time to microbiological cure was 29.4 days (CI 24.5 – 34.3) compared to 45.2 days (CI 36.5 – 53.7) pre-RGT (p=0.001); Conclusions: Implementation of M. genitalium diagnostics with macrolide-resistance detection improved treatment outcomes in Bulgaria with significantly lower treatment failure rates and reduced time to microbiological cure. In light of limited treatment options and concerns about their decreasing efficacy in response to misuse and overuse, diagnostic macrolide-resistance assay is critical to direct appropriate first-line treatment, to maintain the efficacy of antimicrobial treatment (antibiotic stewardship) and to minimize the spread of antimicrobial resistance.
Black Hole Models and Astronomical Observations
Authors: Parnovsky Serge
Published: October 2024

Some well-known metrics used as models of static non-rotating black holes are considered. These are the Reissner-Nordström-de Sitter, Bardeen-Kiselev and McVittie models. A significant difference between them in how adequately they can describe or be the basis for describing observed astronomical objects is demonstrated. A simple method for constructing new models of static non-rotating black holes is presented. It has been shown that a region of gravitational repulsion may exist around the horizon of a Bardeen-Kiselev black hole.
Actual Clinical Efficacy of Statin Therapy (Hmg-CoA Reductase Inhibitors) on the Course of SARS-Cov-2/COVID-19 Infection During the Domination Period of Alpha, Beta, Gamma and Delta Variants
Authors: Simon Krzysztof , Janocha-Litwin Justyna , Nowicka Anna , Szymanek-Pasternak Anna , Serafińska Sylwia Beata , Pazgan-Simon Monika
Published: October 2024

To date, SARS Cov-2 virus has caused more than 775 million cases worldwide and led to 7 million deaths. The virus enters cells with the aid of the ACE2 receptor located in the airway epithelium, but also in endothelial cells lining the inner walls of vessels. Endothelial damage results in impaired blood flow and gas exchange. Statins have been shown to have a pleiotropic effects on the vascular epithelium. Aim of the study: Assessment of the efficacy and safety of statin therapy in patients with COVID-19. Methods: Two hundred and one COVID-19 patients hospitalized at the Jerzy Gromkowski Regional Specialist Hospital between March 2020 and December 2021 (i.e. during the period dominated by Alpha, Beta, Gamma and Delta variants). Patients were divided into three groups: (I) patients treated with statins prior to the admission to the hospital; (II) patients started on statins after admission due to Covid-19; (III) control patients with Covid-19, not treated with statins either prior to or during hospitalization. Met Statistica 13.1 calculations were used in the paper. Shapiro-Wilk, Kruskal-Wallis and ANOVA tests were also performed. Results: Out of the 201 patients total, group I comprised 66 patients with a mean age of 66.2 years; group II comprised 33 patients with a mean age of 75.3 years; and the control group comprised 97 patients with a mean age of 61.1 years. The groups characteristics did not show significant differences in terms of gender, place of hospitalization, percentage of Covid-19 vaccinations, number of convalescents. Death was observed in: 12% of patients in group I, 6% of patients in group II, and 6% of patients in group III. Body Mass Index (BMI) in group I was 31.3: a value significantly higher than the control group’s 28.3, (p<0.05). The severity of Covid-19 assessed on admission in group I – 4.09 – was statistically higher than in the control group 3.52 (p<0.05). The number of pulmonary embolism incidents did not differ between groups. Conclusions: During the period dominated by Alpha, Beta, Gamma and then Delta variants, we found no statistically significant positive or negative effects of statin therapy on the duration of hospitalization, number of complications or percentage of deaths between the two studied groups of patients: those who received statins prior to hospitalization, and those who received statins during hospitalization.
Visualizing Treatment Pathways Leading to Amputation and Non Amputation Using Sankey Diagrams, Sunburst Plots, and Icicle Plots in Peripheral Artery Disease [PAD] patients
Authors: Korutla Rajashekar , Tedder Douglas , Brogan Kathryn , Milosevic Marko , Cavanaugh Robert , Shehadeh Naim , Shara Nawar , Lary Christine , Correll Michael , Ross Elsie G , Amal Saeed
Published: October 2024

Cardiovascular surgeries, though lifesaving, can lead to complications requiring further interventions, including amputations. This study uses Sankey diagrams, Sunburst plots, and Icicle plots to analyze treatment pathways in patients with peripheral artery disease (PAD), focusing on those that lead to amputation versus those that do not. We found that non-amputation outcomes commonly involve anti-platelet and lipid-lowering medications, while amputation pathways, although less frequent, often share similar initial treatments but diverge later, suggesting areas for early intervention. These visualizations highlight patterns in patient care and emphasize the importance of tailored treatment strategies to reduce amputations, offering insights to predict likely outcomes based on treatment sequences.
Neuraminidase Antibody Response to Homologous and Drift Influenza a Viruses After Immunization with Seasonal Influenza Vaccines
Authors: Desheva Yulia , Sergeeva Mariia , Kudar Polina , Rekstin Andrey , Romanovskaya-Romanko Ekaterina , Krivitskaya Vera , Kudria Kira , Bazhenova Ekaterina , Krylova Evelina , Kurpiaeva Maria , Lioznov Dmitry , Stukova Marina , Kiseleva Irina
Published: October 2024

Neuraminidase (NA)-based immunity could reduce the severity of infection caused by the new antigenic variants of influenza viruses. Detection of NA-inhibiting (NI) antibodies simultaneously with antibodies to hemagglutinin (HA) may enhance research of antibody response to influenza vaccines.
Methods. The study examined 64 pairs of sera from patients vaccinated in 2018 with seasonal inactivated trivalent influenza vaccines (IIVs) with the formula recommended by WHO for the 2018-2019 influenza season. Antibodies to drift influenza viruses A/Guangdong-Maonan/SWL1536/2019(H1N1)pdm09 and A A/Brisbane/34/2018(H3N2) were studied before vaccination and 21 days after vaccination. To assess NI antibodies, we used the enzyme-linked lectin assay (ELLA) with pairs of reassortant viruses A/H6N1 and A/H6N2, and anti-HA antibodies were detected in hemagglutination inhibition (HI) test. The microneutralization (MN) test was performed in the MDCK cell line with A/H6N1 and A/H6N2 viruses.
Results. Seasonal IIVs induce a substantial immune response of NI antibodies to influenza A/H1N1pdm09 and A/H3N2 viruses. A significantly reduced ‘herd’ immunity to drift influenza viruses A/H1N1pdm09 and A/H3N2 was shown, compared to previously circulating strains, but most of all to N2. Seasonal IIVs caused increases in antibodies to homologous and drift viruses, but to drift viruses more often among older patients. The level of NI antibodies to later A/H1N1pdm09 virus in response to IIVs was statistically significantly lower among younger people. After IIV vaccination, the total proportions of individuals with HI antibody levels ≥1:40 and NI antibodies ≥ 1:20 were 32.8% to drift A/H1N1pdm09 virus and 17.2% to drift A/H3N2 virus. Antisera containing HI and NI antibodies exhibit neutralizing properties in vitro against viruses with unrelated HA of H6 subtype.
Conclusions. Drift A/H1N1pdm09 and A/H3N2 viruses demonstrated significantly lower reactivity with NI and NI antibodies to early influenza viruses. In response to seasonal IIVs, the level of seroprotection increased, including to drift viruses A, but to a greater extent to A/H1N1pdm09. Based on the data obtained, it can be hypothesized that in the case of a mismatched HA, it will most likely be necessary to vaccinate against the N1-containing influenza virus those who under 60 years of age, and the entire population against virus possessing N2.
Human-Computer Interaction: Designing Intelligent User Interfaces Using AI and Computer Vision
Authors: Doris Lucas , Klinton Brown , Potter Kaledio
Published: October 2024

Human-Computer Interaction (HCI) has evolved significantly with advances in Artificial Intelligence (AI) and Computer Vision (CV), paving the way for more intelligent and adaptive user interfaces. This paper explores the design and implementation of user interfaces that leverage AI and CV to create more intuitive, responsive, and personalized experiences. By integrating techniques such as facial recognition, gesture control, and eye tracking, interfaces can adapt in real-time to users’ actions and intentions, thus enhancing accessibility, efficiency, and engagement across various applications, from healthcare to gaming. The study reviews current advancements and challenges in using AI and CV for HCI, including data privacy, model interpretability, and computational efficiency. Experimental results demonstrate the potential of these technologies to improve interaction quality and user satisfaction. This work aims to contribute to the growing field of intelligent HCI design, offering insights into practical implementations and future research directions in AI-driven interface development.
Choroidal Response to Intravitreal Bevacizumab Injections in Treatment-Naïve Macular Neovascularization Secondary to Chronic Central Serous Chorioretinopathy
Authors: Rabinovitch David , Shulman Shiri , Goldenberg Dafna , Wang Liang , Iyer Prashanth , Loewenstein Anat , Igra Noah , Levine Olivia , Herrera Gissel , Trivizki Omer
Published: October 2024

Purpose: To evaluate the impact of intravitreal bevacizumab (IVB) therapy on anatomical and visual outcomes in patients with macular neovascularization (MNV) secondary to chronic cen-tral serous chorioretinopathy (cCSC). Methods: This retrospective observational study reviewed the medical records of treatment-naïve patients diagnosed with cCSC complicated by MNV, treated with IVB injections over a 5-year period. The presence of MNV was confirmed using op-tical coherence tomography angiography (OCTA). Best-corrected visual acuity (BCVA), subfoveal choroidal thickness (SFCT), and subretinal fluid (SRF) were recorded pre- and post-IVB treat-ment. Results: Twenty-two eyes of 22 patients (mean age, 68 ± 11 years) were included. After a mean follow-up of 21.0 ± 14.6 months, SRF significantly decreased from baseline (176.86 ± 115.62 µm) to the final follow-up (80.95 ± 87.32 µm, P = 0.003). Greater SRF reduction was associated with more injections (>7) (P = 0.047). However, no significant changes were observed in BCVA (P > 0.05) or SFCT (P > 0.05), irrespective of follow-up duration or injection frequency. Complete res-olution of SRF was achieved in 9 patients (40.9%), and a significantly greater reduction in SFCT was observed in complete responders compared to non-responders (P = 0.03). Conclusion: IVB therapy significantly reduced SRF in cCSC patients with secondary MNV, though it did not lead to visual improvement or significant changes in SFCT. However, greater choroidal thinning in patients with complete fluid resorption may suggest distinct underlying mechanisms or alterna-tive sources of subretinal fluid beyond the MNV itself.
Natural Language Processing (NLP) for Sentiment Analysis: A Comparative Study of Machine Learning Algorithms
Authors: Shad Ralph , Potter Kaledio , Gracias Abram
Published: October 2024

Sentiment analysis has emerged as a vital application of Natural Language Processing (NLP), enabling the extraction of subjective information from textual data. This study conducts a comparative analysis of various machine learning algorithms employed in sentiment analysis, including traditional models such as Naïve Bayes, Support Vector Machines (SVM), and Decision Trees, as well as contemporary techniques such as Random Forest, Gradient Boosting, and deep learning approaches like Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) networks. Using a comprehensive dataset sourced from social media platforms and product reviews, we evaluate the performance of these algorithms based on accuracy, precision, recall, and F1-score. Our findings highlight the strengths and weaknesses of each algorithm in handling sentiment classification tasks, emphasizing the influence of feature extraction techniques, such as Bag of Words and Word Embeddings, on model performance. The results indicate that while deep learning models generally outperform traditional algorithms, the choice of algorithm should be tailored to the specific context and requirements of the analysis. This study contributes to the ongoing discourse on the efficacy of machine learning methods in NLP, offering insights that can guide researchers and practitioners in selecting appropriate algorithms for sentiment analysis tasks.
Assessment of Multiple Citizen Science Methods and Carbon Footprint of Tourists in Two Australian Marine Parks
Authors: Smith Adam Kingsley , DiBattista Joseph , Tol Samatha , Kustra Leona , Hardisty Paul , Stacey Joanne , Massey Toni
Published: October 2024

.Citizen or community science (CS) projects in the marine environment rarely consider carbon footprint and sustainability. In this case study, we assessed the effectiveness of ten CS methods used by tourists in the Great Barrier Reef Marine Park (GBRMP) and Coral Sea Marine Park (CSMP). We also assessed baseline coral reef knowledge of the tourists, observations of marine species and the communication of our results to the public. Specifically, the tourists utilised up to ten methods: iNaturalist, CoralWatch, Great Barrier Reef Census, Eye on the Reef (EoR), environ-mental DNA (eDNA) testing kits, photogrammetry, social surveys, and Red Map, as well as ma-rine debris and marine vegetation collections. A total of 10,421 data points were collected across 14 days, including 5,390 records (52 % of the total) uploaded to iNaturalist, comprising 640 plant animal species. Public awareness of the CS expedition reached over 700,000 people based on estimates from advertising, media, social media, family and friends, and conference presenta-tions. We estimated the total carbon footprint for the expedition as 268.7 tonnes of CO2 or 4.47 tonnes of CO2 per person, equivalent to $112 AUD needed to offset this input. Based on these re-sults, our recommendations to leverage CS methods include governmental review strategies, temporal replication to allow the measurement of changes through time, integrating sustainabil-ity into CS ecotourism platforms, and encouraging broad participation.