bluuebunny/crossref_metadata_2025 huggingface dataset:
Fecal Microbiota Transplantation: Insights into Colon Carcinogenesis and Immune Regulation
Authors: Brusnic Olga , Onisor Danusia , Boicean Adrian , Hasegan Adrian , Ichim Cristian , Guzun Andreea , Chicea Radu , Todor Samuel Bogdan , Vintila Bogdan Ioan , Anderco Paula , Porr Corina , Dura Horatiu , Fleaca Sorin Radu , Cristian Adrian Nicolae
Published: November 2024

Colorectal cancer (CRC) constitutes a significant global health challenge, with recent studies underscoring the pivotal role of the gut microbiome in its pathogenesis and progression. Fecal microbiota transplantation (FMT) has emerged as a compelling therapeutic approach, offering the potential to modulate microbial composition and optimize treatment outcomes. Research suggests that specific bacterial strains are closely linked to CRC, influencing both its clinical management and therapeutic interventions. Moreover, the gut microbiome’s impact on immunotherapy responsiveness heralds new avenues for personalized medicine. Despite the promise of FMT, safety concerns, particularly in immunocompromised individuals, remain a critical issue. Clinical outcomes vary widely, influenced by genetic predispositions and the specific transplantation methodologies employed. Additionally, rigorous donor selection and screening protocols are paramount to minimize risks and maximize therapeutic efficacy. The current body of literature advocates for the establishment of standardized protocols and further clinical trials to substantiate FMT’s role in CRC management. As our understanding of the microbiome deepens, FMT is poised to become a cornerstone in CRC treatment, underscoring the imperative for continued research and clinical validation.
No Difference in Postoperative Recovery Outcomes Between Opioid-Free and Opioid-Sparing Anesthesia Under Multimodal Analgesic Protocol for Video-Assisted Thoracoscopic Surgery: A Propensity Score Matching Cohort Study
Authors: Kim Minju , Huh Jaewon , Choi Hoon , Hwang Wonjung
Published: November 2024

Background: With growing concerns about opioid-related risks, efforts to reduce opioid use throughout the perioperative period have increased. This study aimed to compare postoperative recovery outcomes between opioid-free anesthesia (OFA) and opioid-sparing anesthesia (OSA) under a multimodal analgesic protocol in video-assisted thoracoscopic surgery (VATS). Methods: A retrospective cohort study was conducted on 196 patients undergoing VATS from August 2019 to December 2021. Patients received either dexmedetomidine-based OFA or remifentanil-based OSA. Postoperative recovery was assessed using the Quality of Recovery-15 (QoR-15) score, opioid consumption, and pain intensity. Additionally, opioid-related complications and intraoperative hemodynamic changes were evaluated. Results: Both groups showed similar QoR-15 scores 24 h postoperatively (124.2 ± 7.0 vs. 123.0 ± 6.9, p = 0.227). Opioid consumption and pain intensity were comparable, and the incidence of opioid-related adverse events did not significantly differ between the groups. Intraoperative hypotension and bradycardia were more frequent in the OFA group, but the differences were not statistically significant. Conclusions: The study concluded that both OFA and OSA, when used under a multimodal analgesic protocol, provided effective postoperative recovery in patients undergoing VATS with no significant differences in outcomes.
Severe Uncontrolled Asthma: A Longitudinal Retrospective Study Illustrating the Experience of the Pulmonology Clinic of Târgu-Mureș, Romania
Authors: Ianoși Edith-Simona , Huțanu Dragoș , Vultur Mara Andreea , Sárközi Hédi-Katalin , Rachiș Delia-Liana , Jimborean Gabriela
Published: November 2024

Introduction: Severe uncontrolled asthma (SUA) affects approximately 5% of asthma patients, leading to frequent exacerbations, reduced lung function, and lower quality of life. Recent biologic therapies target specific inflammatory pathways, offering new options for SUA. Objective: This study aimed to evaluate clinical characteristics, treatment outcomes, and biomarkers in patients with SUA treated with biologics (Omalizumab, Benralizumab, and Dupilumab) at our clinic. Material and Methods: A six-month retrospective longitudinal study was conducted on 28 patients aged 36–83 years with SUA. Patients were divided into three groups: Omalizumab (n = 4), Benralizumab (n = 18), and Dupilumab (n = 6). Lung function tests and biomarkers such as eosinophil and IgE levels were measured over 3-month periods (T0, T1, and T2). Asthma control was assessed using asthma control tests (ACT), and non-parametric statistical methods were applied. Results: The median patient age was 64 years, with 75% showing elevated eosinophil counts (>300 cells/µL). Benralizumab significantly improved lung function (p < 0.05) and ACT scores (p < 0.001), reducing eosinophil counts to zero (p < 0.001). Patients on Dupilumab and Omalizumab showed improved asthma control (p < 0.05) and reduced exacerbations, albeit to a lesser extent (p > 0.05). Conclusions: Biologics, particularly Benralizumab and Dupilumab, improved asthma control, lung function, and quality of life in SUA patients, with improved ACT scores and spirometry values. Some patients remained poorly controlled, emphasizing the need for personalized treatment and regular biomarker monitoring. Multidisciplinary management and lifestyle changes are critical for better outcomes in SUA.
Discriminating Diseases Mimicking Normal-Tension Glaucoma (NTG) from NTG
Authors: Ryu Hee-Kyung , Kim Seong-Ah , Shin Hee-Jong , Park Chan-Kee , Park Hae-Young Lopilly
Published: November 2024

Background/Objectives: The aim of this study was to identify the most reliable ocular exam and establish a threshold for deciding whether to perform neuroimaging in order to screen for diverse diseases other than normal-tension glaucoma (NTG). A retrospective, observational, comparative study was used. Methods: In total, 106 individuals with atypical features of NTG who underwent glaucoma assessments and contrast-enhanced MRI of the brain or orbit were included. The criteria for atypical NTG included the following: (1) unilateral normal-tension glaucoma, (2) visual field (VF) damage inconsistent with optic disc appearance, (3) fast VF progression, (4) worsening of visual acuity, (5) optic disc pallor, (6) scotoma restricted by a vertical line, and (7) central scotoma. Glaucoma evaluations included measurements of visual acuity, intraocular pressure, central corneal thickness, axial length, cup–disc ratio, retinal nerve fiber layer (RNFL) thickness, ganglion cell–inner plexiform layer (GCIPL) thickness, mean deviation (MD), and visual field index (VFI). Statistical analyses involved independent t-tests, receiver operating characteristic (ROC) curves, and area under the curve (AUC) in order to differentiate neuro-ophthalmological conditions from NTG, compare the diagnostic power of each factor, and determine the cut-off value. Results: Relatively fewer diagnoses of non-glaucomatous diseases were associated with unilateral NTG, the worsening of VA, and central scotoma. Factors such as rapid visual field progression, optic disc pallor, and scotoma restricted by a vertical line had a relatively higher diagnostic rate of non-glaucomatous diseases. There were significant differences in average RNFL and GCIPL thicknesses at the nasal quadrant between NTG and NTG-mimicking conditions. Only the GCIPL thickness at the nasal quadrant had reliable power for discriminating between neuro-ophthalmological disease and NTG. For the GCIPL thickness at the nasal quadrant, the AUC was 0.659, and the cut-off value was 65.75. Conclusions: When deciding whether to proceed with imaging, such as carrying out an MRI test, for NTG patients with atypical NTG characteristics, it would be advisable to consider the nasal sector cut-off value of GCIPL thickness.
Optimal Use of Drain Tubes for DIEP Flap Breast Reconstruction: Comprehensive Review
Authors: Lim Bryan , Seth Ishith , Joseph Konrad , Cevik Jevan , Li Henry , Xie Yi , Hernandez Axel Mendoza , Cuomo Roberto , Rozen Warren M.
Published: November 2024

Background: Deep inferior epigastric perforator (DIEP) flap breast reconstruction is an increasingly popular technique, but controversy exists regarding the optimal use of closed suction drains (CSD) at the abdominal donor site. This narrative review synthesizes current evidence on CSD application, criteria for placement/removal, and complications in DIEP flap procedures. Alternative techniques and implications for postoperative care are also discussed. Methods: A systematic search was conducted in August 2024 across several databases to identify English language studies related to CSD use in DIEP flap breast reconstruction. Inclusion criteria consisted of original research on aspects such as CSD volume criteria, timing, complications, alternatives like progressive tension sutures, and impact on showering and patient outcomes. References from relevant papers were hand-searched. Results: The review found a lack of consensus on CSD protocols, with drainage volume triggering removal varying widely from 5 mL to 80 mL daily. While CSD may reduce seroma/hematoma formation, earlier removal (≤3 days) did not increase complications and shortened hospital stay. Progressive tension sutures show promise as an alternative, with evidence of comparable or reduced complications and improved recovery versus CSD. The safety of early showering with drains remains unclear. Conclusions: Although CSD aims to minimize postoperative complications, more rigorous randomized trials are needed to establish evidence-based practices for the timing of removal and demonstrate the efficacy of emerging drain-free techniques on patient-centered outcomes. Standardized criteria could reduce practice variability. Further research should also explore the long-term impact of drainage strategies on aesthetic and functional results.
Hemoperfusion with CytoSorb® in Pediatric Patients: A Monocentric Case Series
Authors: Rihar Eva , Peršič Vanja , Jerman Alexander , Plankar Srovin Tina , Mlakar Gorazd , Bezeljak Neva , Pokorn Marko , Fister Petja
Published: November 2024

Background: Pro- and anti-inflammatory cytokines help regulate the inflammatory response. A cytokine storm is a dysregulated cytokine response associated with sepsis and other conditions that result in a hyper-inflammatory state. Extracorporeal cytokine adsorption has the potential to restore a balanced inflammatory response. Hemoperfusion with CytoSorb® (CS) appears to be a short-term mode of treatment of sepsis in both adults and children. Objective: We present a case series of eight critically ill children involving the use of hemoperfusion with CS at the University Medical Center Ljubljana to treat clinically manifested cytokine storm. Results: In our preliminary experience, it was applied without complication in five children weighing more than 10 kg, who all survived. The effect of age on complications regarding CS treatment is unclear, yet in our case series, all three patients weighing less than 10 kg died of their disease. Conclusions: In our preliminary experience, cytokine adsorption with CS remains a potential adjunctive treatment for cytokine storm in critically ill children.
Minimally Invasive Tube Surgery (MITS)—A Novel Method in Glaucoma Drainage Device Implantation
Authors: Singh Bharpoor , Swampillai Andrew J. , Utukuri Mrudula , Normando Eduardo M. , Mazrouaa Ahmed , Al-Nahrawy Ahmed , Ahmed Faisal
Published: November 2024

Background/Objectives: We introduce a new surgical technique for inserting the eyePlate-300—a glaucoma drainage device (GDD). The flexibility of the eyePlate-300 allows for folding and insertion through a smaller conjunctival incision. The procedure is termed minimally invasive tube surgery (MITS). Methods: We performed a retrospective analysis of thirteen eyes to assess the efficacy of the MITS technique in a large London tertiary teaching eye hospital with 12 months follow-up. The primary outcome was complete success: defined as ‘IOP > 5 mmHg, <21 mmHg and off drops’. Secondary outcomes: best corrected visual acuity at 12 months, complications, a reduction in the number of drops and need for further pressure-lowering surgery. Results: Twelve eyes (92%) achieved a lower IOP. The mean pre-operative IOP was 35.69 mmHg (20–53 mmHg); post-operatively, it was reduced to 11.08 mmHg (5–20 mmHg) (p < 0.001). The mean pre-operative drops were 3.462 (3–4), reducing to 0.85 (0–3) at 12 months (p < 0.001). There was no change in the mean BCVA. No intraoperative complications were recorded, and no further IOP lowering surgeries were required. Conclusions: The MITS technique facilitates the implantation of a glaucoma drainage device through a smaller, less traumatic incision. Preliminary one-year data suggest that the procedure may be safe and effective.
Sustainable Panels from Cocoa (Theobroma cacao) Wood Wastes Bonded with Cassava starch and Urea–Formaldehyde
Authors: Mensah Prosper , Melo Rafael Rodolfo de , Bih Francis Kofi , Mitchual Stephen Jobson , Pimenta Alexandre Santos , Pedrosa Talita Dantas , Paula Edgley Alves de Oliveira
Published: November 2024

The demand for innovative products from renewable sources has motivated research development to create new sustainable materials. Cassava starch (CS) has been widely used for bonding and composing different types of products. Particleboards produced from cocoa (Theobroma cacao), wood wastes, and CS adhesives can be an environmentally correct and economically profitable alternative to replacing traditional commercial panels. This study aimed to manufacture particleboards made with wood waste extracted from the stem of Theobroma cacao. The panels were bonded with different proportions of CS and urea–formaldehyde (UF) adhesives, and their physical–mechanical properties were determined. To manufacture the panels, cocoa wood wastes were mixed with the adhesive in ratios of 90:10, 70:30, and 50%:50% (CS/UF). Two control treatments were bonded with 100% of both adhesives. The resulting particleboards were employed as a reference to compare properties. The manufacturing process was carried out by cold pressing. Apparent density, water absorption, thickness swelling, and static bending strength were found for all panels. The data obtained were subjected to Levene’s homogeneity test, Shapiro–Wilk’s normality test, analysis of variance (ANOVA), and Tukey’s mean test. The results showed that the highest density value was 497.0 kg m−3, corresponding to the treatment composed of cocoa wood wastes bonded with 100% CS adhesive. The water absorption and thickness swelling results after a 24 h immersion showed that the panel formed using cocoa wood wastes and 100% UF had the lowest values, 22.1 and 11.2%. The highest bending strength value was 13.1 MPa for the experimental treatment composed of cocoa wood residue and 100% UF. However, this result did not differ statistically from the treatment (50–50). Therefore, cocoa wood waste combined with adhesive CS may be a sustainable alternative for producing particleboards.
Using Collocation with Radial Basis Functions in a Pseudospectral Framework for a New Layerwise Shallow Shell Theory
Authors: Fernandes Susana C. F. , Cuartero Jesus , Ferreira Antonio J. M.
Published: November 2024

This work presents radial basis function collocation methods in pseudospectral form for forecasting the static deformations and free vibration characteristics of thin and thick cross-ply laminated shells. This method utilizes an innovative layerwise shallow shell theory that integrates both translational and rotational degrees of freedom. A collection of numerical examples illustrates the precision and efficacy of the suggested numerical method, highlighting its capability in resolving static and vibrational issues.
Mechanical Properties of Natural Jute Fiber-Reinforced Geopolymer Concrete: Effects of Various Lengths and Volume Fractions
Authors: Mohammed Abdulrhman Dhaif Allah Abdo , Ronghui Wang , Huseien Ghasan Fahim
Published: November 2024

Enhancing the fracture strength and ductility of concrete through the incorporation of various types of synthetic and natural fibers with varying textures and contents remains challenging. Natural fibers, being versatile and eco-friendly construction materials, can be an excellent alternative to synthetic fibers. However, studies on natural fiber-reinforced (especially through the incorporation of jute fibers) novel composites like geopolymer binders remain deficient. Thus, the effects of various lengths (15, 25 and 35 mm) and volume contents (0.10, 0.20, 0.30, 0.40, 0.50, 0.60, and 0.70%) of natural jute fibers on the mechanical performance of fiber-reinforced geopolymer concrete were studied. The results revealed that jute fiber reinforcement remarkably affected the workability, compressive strength, fracture strengths, water absorption and microstructure properties of the proposed geopolymer concretes. Increasing the fiber length and volume fractions in the geopolymer matrix lowered the slump values and workability and increased the compressive strength. The specimen prepared with a fiber length of 35 mm and volume fractions of 0.70% displayed the lowest slump value (28 mm) and highest compressive strength (31.5 MPa) at 28 days. In addition, the specimens made with fiber volume fractions of 0.10, 0.20, 0.30, and 0.40% showed a significant improvement in the splitting tensile and flexural strengths. However, increasing the volume of the jute fibers up to 0.50% led to a slight drop in the fracture strength of the geopolymers. The specimens prepared with a length of 25 mm and a volume of 0.40% achieved the highest enhancement of splitting tensile strength (18.7%) and flexural strength (29.1%) at 28 days. In short, sustainable geopolymer concrete with high fracture performance can be obtained by incorporating natural jute fibers, leading to practical applications in the construction sector. The proposed green concrete may enable a reduction in solid waste, thus promoting a more sustainable concrete industry.
Projecting the Long-Term Life of SiC Fibers to Low Stresses: The Competition Effect Between Slow Crack Growth and Oxidation Embrittlement
Authors: Mazerat Stéphane , Vignoles Gerard L.
Published: November 2024

The delayed failure of SiC fibers is commonly described by a power law relating the growth rate to the stress intensity factor KI, itself following the classical fracture mechanics law with a constant geometrical factor. For low stress levels, relevant for ceramic matrix composite (CMC) applications, this model predicts crack lengths exceeding the specimen size and unrealistic times to failure. Indeed, discrepancies between this model prediction and experiments have been reported. This paper proposes a model improvement with a simple and accessible analytical solution to work around this shortcoming. First, a more accurate description of fracture mechanics is introduced which yields physically reasonable estimates of the crack size at failure. Then, the contribution of silica scale formation to oxidation embrittlement (OE) is evaluated. If the corrected slow crack growth (SCG) model and the OE model are irrelevant when taken separately, their simultaneous presence accurately depicts the observations: OE prevails under low stresses, resulting in a finite lifetime below 150 MPa, whereas SCG takes over above 800 MPa. This result brings new insight for the design of CMC and may as well apply to other types of materials, prone to environment-assisted and stress-accelerated degradation.
Mechanochemical Preparation of New Biocomposites Starting from Polymers and Plant-Derived Fibres
Authors: Gallina Lorenzo , Chaji Salah , Mantegna Stefano , Manzoli Maela , Cravotto Giancarlo
Published: November 2024

This work presents the extrusion-based preparation of new biocomposites from two plant fibres (namely Cannabis sativa L. and Opuntia ficus-indica Mill.) that are added to two different polymers (an ethylene–octene elastomer and polylactic acid), which act as matrices. Structural and morphological characterization (using X-ray diffraction and field emission scanning electron microscopy) have been used to correlate the interactions between the biomass and the polymers employed with the efficiency of the proposed approach. It was found that Opuntia-based composites can be easily formed in a range of biomass/polymer ratios. However, the interaction between hemp and the matrix means that only specific ratios can form tightly bound composites. The present communication thus paves the way for more complex and comprehensive studies on the formulation of biocomposites containing these matrices.
Preparation and Characterization of SiO2-PMMA and TiO2-SiO2-PMMA Composite Thick Films for Radiative Cooling Application
Authors: Putra Dwi Fortuna Anjusa , Qazi Uzma , Chen Pin-Hsuan , Shih Shao-Ju
Published: November 2024

Radiative cooling, an emerging technology that reflects sunlight and emits radiation into outer space, has gained much attention due to its energy-efficient nature and broad applicability in buildings, photovoltaic cells, and vehicles. This study focused on fabricating SiO2-polymethyl methacrylate (PMMA) and TiO2-SiO2-PMMA thick films via the blade-coating method. The investigation aimed to improve cooling performance by adding TiO2 particles to increase the coverage area and utilize the TiO2 reflectance ability. The characterizations of the emissivity/absorptivity, solar reflectance, and microstructure of the thick films were conducted by using ultraviolet–visible/near-infrared (UV-Vis/NIR) diffuse reflection spectroscopy and scanning electron microscopy, respectively. Experimental results revealed that the maximum temperature drops of approximately 9.4 and 9.8 °C were achieved during the daytime period for SiO2-PMMA and TiO2-SiO2-PMMA thick films. The total solar radiation reflectivity increased from 71.7 to 75.6% for SiO2-PMMA radiative cooling thick films after adding TiO2. These findings underscored the potential of TiO2-SiO2-PMMA thick films in advancing radiative cooling technology and cooling capabilities across various applications.
Short Physical Performance Battery (SPPB) and Its Relationship with the Predisposition to Muscle and Joint Injuries Associated with the COL1A1 and IL-6 Gene in Older Adults
Authors: González-Ruíz Katherine , Ararat-Sandoval Maryleysi , Camayo-Guevara Shirley , Rojas-Salazar Laura , Ordoñez-Mora Leidy Tatiana , Rosero Ilem D.
Published: November 2024

Background/Objectives: Aging leads to physiological changes influenced by lifestyle, environment, and genetics, increasing the risk of morbidity and mortality in older adults. COL1A1 gene encodes an essential protein in connective tissues, which is associated with musculoskeletal lesions. The interleukin-6 (IL-6) gene is a proinflammatory and anti-inflammatory regulator and has a greater predisposition to fractures and osteoporosis reported. In turn, these alterations are associated with a decrease in physical capacity, leading to a progressive loss of functionality and quality of life in older adults. Methods: A cross-sectional study was designed to identify the relationship between physical condition as determined using the Short Physical Performance Battery (SPPB) and the predisposition parameters for muscle and joint injuries in a population of 422 older adults, active and of ≥60 years. The variables evaluated were sociodemographic data, SPPB evaluation, and COL1A1 and IL-6 gene DNA extracted by buccal scraping. Results: SPPB total score was significantly correlated with age −0.07, weight −0.02, waist circumference −0.02, and body mass index −0.05 (p < 0.005). Conclusions: Regarding genetic variables, there were no significant differences. However, lower SPPB values were observed in the GG genotype and GT of COL1A1 when compared to the CC genotype and GC of IL-6.
Characterization of the Power Distribution Network for Commercialized STM32s Using a Resonance Frequency Measurement Method
Authors: Peyrard Marie , Jacquemod Gilles , Froidevaux Nicolas
Published: November 2024

Power integrity is a critical aspect of microcontroller (MCU) system design. The present tendency of increasing current density and operating frequency, along with decreasing operating voltage, significantly diminishes voltage margins. Given the cost efficiency required for MCU systems, this context places important constraints on the design of the power distribution network (PDN), which directly impacts power supply noise. Therefore, characterizing the PDN is necessary. This paper introduces a cost-effective measurement and modeling method to estimate the die-package resonance frequency of the PDN, a major threat to power integrity. The method, applied to two 32-bit MCUs from STMicroelectronics with varying PDN configurations, enables the identification of the die-package resonance frequency. The results lead to the refinement of the die capacitance model for both cases, with a maximum relative error of less than 7%. The final objective is to implement the measurement system in the die in order to adjust the PDN if necessary.
Underwater Refractive Stereo Vision Measurement and Simulation Imaging Model Based on Optical Path
Authors: Li Guanqing , Huang Shengxiang , Yin Zhi , Li Jun , Zhang Kefei
Published: November 2024

When light passes through air–glass and glass–water interfaces, refraction occurs, which affects the accuracy of stereo vision three-dimensional measurements of underwater targets. To eliminate the impact of refraction, we developed a refractive stereo vision measurement model based on light propagation paths, utilizing the normalized coordinate of the underwater target. This model is rigorous in theory, and easy to understand and apply. Additionally, we established an underwater simulation imaging model based on the principle that light travels the shortest time between two points. Simulation experiments conducted using this imaging model verified the performance of the underwater stereo vision measurement model. The results demonstrate that the accuracy achieved by the new measurement model is comparable to that of the stereo vision measurement model in the air and significantly higher than that of the existing refractive measurement model. This is because the light rays from the camera’s optical center to the refraction point at the air–glass interface do not always intersect. The experiments also indicate that the deviation in the refractive index of water lead to corresponding systematic errors in the measurement results. Therefore, in real underwater measurements, it is crucial to carefully calibrate the refractive index of water and maintain the validity of the calibration results.
Optimization of Production Scheduling for the Additive Manufacturing of Ship Models Using a Hybrid Method
Authors: Kim Kyeongho , Kwon Soonjo , Choi Minjoo
Published: November 2024

This paper introduces a hybrid optimization method that leverages either linear programming (LP) or a genetic algorithm (GA) based on the problem size to enhance the parallel additive manufacturing (AM) process for ship models. The LP ensures optimality but can experience exponential increases in the computation time as the problem size grows. To address this limitation, the GA is employed for larger problems, providing optimal solutions within reasonable quality and time constraints. The method optimizes the module allocation to AM machines and determines the build processing sequence for each machine, while also considering the availability of workers preparing for consecutive module production. Applied to a case study, the proposed method achieves a 14% reduction in the completion time compared to a heuristic method from a previous study. Furthermore, the method is validated by benchmarking against the heuristic method across various problem sizes, consistently demonstrating superior performance.
Study of Hydrofoil Boundary Layer Prediction with Two Correlation-Based Transition Models
Authors: Ye Changliang , Wang Yang , An Dongsen , Chen Jun , Yan Hongyeyu , Zheng Yuan , Kan Kan , van Esch Bart P. M.
Published: November 2024

In the realm of marine science and engineering, hydrofoils play a pivotal role in the efficiency and performance of marine turbines and water-jet pumps. In this investigation, the boundary layer characteristics of an NACA0009 hydrofoil with a blunt trailing edge are focused on. The effectiveness of both the two-equation gamma theta (γ-Reθt) transition model and the one-equation intermittency (γ) transition model in forecasting boundary layer behavior is evaluated. When considering natural transition, these two models outperform the shear stress transport two-equation (SST k-ω) turbulence model, notably enhancing the accuracy of predicting boundary layer flow distribution for chord-length Reynolds numbers (ReL) below 1.6 × 106. However, as ReL increases, both transition models deviate from experimental values, particularly when ReL is greater than 2 × 106. The results indicate that the laminar separation bubble (LSB) is sensitive to changes in angles of attack (AOA) and ReL, with its formation observed at AOA greater than 2°. The dimensions of the LSB, including the initiation and reattachment points, are found to contract as ReL increases while maintaining a constant AOA. Conversely, an increase in AOA at similar ReL values leads to a reduced size of the LSB. The findings are essential for the design and performance optimization of water-jet pumps, particularly in predicting and flow separation and transition phenomena.
Microbial Mat Dominated by Amphora spp. and Their Adaptative Strategies in an Arsenic-Rich Brackish Pond
Authors: Agostino Eleonora , Macrì Angela , Zammuto Vincenzo , D’Alessandro Michela , Nicolò Marco Sebastiano , Giacobbe Salvatore , Gugliandolo Concetta
Published: November 2024

Marine diatoms are essential members of both phytoplankton and phytobenthic communities, able to colonize submerged artificial and natural surfaces, contributing to benthic microbial biomass. Diatoms have developed different adaptative mechanisms to cope with various environmental stresses, including high concentrations of heavy metals. The aim of this study was to investigate the arsenic resistance of diatoms, isolated from microbial mats collected from an arsenic-rich brackish pond (Lake Mergolo della Tonnara, Italy), by evaluating (i) their ability to form biofilms in the presence of arsenite (AsIII) or arsenate (AsV), and (ii) the variations in the photosynthetic pigments’ contents (i.e., chlorophyll a and c) in their biofilms. The mats were dominated by members of the genus Amphora, and isolates were affiliated with species of A. capitellata, A. coffeaeformis, and A. montana. The strains grew better in the presence of AsV than AsIII, which is generally less toxic. After seven days of incubation, each strain exhibited a different ability to form biofilms on glass surfaces in the presence of arsenic (25 ppm), with A. montana strain 27 being the most effective (86%) in the presence of AsIII, and A. coffeaeformis strain 26 (74%) with AsV. Photosynthetic pigment levels (chlorophyll a and c) differed in each biofilm, being poorly reduced by AsIII in strain 27, and by AsV in strain 26, indicating a species-specific response to arsenic stress. Our results indicated that Amphora species thriving in this environment can form biofilms as an As-resistance mechanism, maintain their levels of photosynthetic pigments, and support the functioning of the pond ecosystem, with A. montana being favored in the presence of AsIII, whereas A. coffeaeformis 26 in the presence of AsV. As producers of biofilms, these strains could be useful to develop new strategies to remediate arsenic pollution.
Wave and Tidal Energy: A Patent Landscape Study
Authors: Pazhouhan Mohamadreza , Karimi Mazraeshahi Amin , Jahanbakht Mohammad , Rezanejad Kourosh , Rohban Mohammad Hossein
Published: November 2024

Wave and tidal energy, recognized as vital renewable resources, harness the ocean’s kinetic and potential power. This study aims to provide an in-depth patent analysis of the technological landscape within these sectors. We applied a dual approach: first, a descriptive analysis was conducted to explore patent publication trends, technology lifecycle stages, patent activity by country, top assignees, and IPC classifications. Our analysis provided a detailed overview of the sector’s growth and the key players involved. Second, we utilized topic modeling, specifically BERTopic enhanced with large language models, to identify and fine-tune key technological themes within the patent data. In this study, we identified seven distinct clusters each for wave and tidal energy using this approach. This method led to a novel categorization of the patents, revealing latent themes within the patent data. Although our categorization differs from traditional methods, it provides deeper insights into the thematic focus of the patents, highlighting emerging trends and areas of innovation within wave and tidal energy technologies to better exploit and optimize ocean energy conversion infrastructure.
Intelligent Layout Method of Ship Pipelines Based on an Improved Grey Wolf Optimization Algorithm
Authors: Lu Yongjin , Li Kai , Lin Rui , Wang Yunlong , Han Hairong
Published: November 2024

Ship piping arrangement is a nondeterministic polynomial problem. Based on the advantages of the grey wolf optimization (GWO) algorithm, which is simple, easy to implement, and has few adjustment parameters and fast convergence speed, the study adopts the grey wolf optimization (GWO) algorithm to solve the ship piping arrangement problem. First, a spatial model of ship piping arrangement is established. The grid cell model and the simplified piping arrangement environment model are established using the raster method. Considering the piping arrangement constraint rules, the mathematical optimization model of piping arrangement is constructed. Secondly, the grey wolf optimization algorithm was optimized and designed. A nonlinear convergence factor adjustment strategy is adopted for its convergence factor. Powell’s algorithm is introduced to improve its local search capability, which solves the problem that the grey wolf algorithm easily falls into the local optimum during the solving process. Simulation experiments show that compared with the standard grey wolf algorithm, the improved algorithm can improve the path layout effect by 38.03% and the convergence speed by 36.78%. The improved algorithm has better global search ability, higher solution stability, and faster convergence speed than the standard grey wolf optimization algorithm. At the same time, the algorithm is applied to the actual ship design, and the results meet the design expectations. The improved algorithm can be used for other path-planning problems.
Follow the Path: Unveiling an Azole Resistant Candida parapsilosis Outbreak by FTIR Spectroscopy and STR Analysis
Authors: De Carolis Elena , Magrì Carlotta , Camarlinghi Giulio , Ivagnes Vittorio , Spruijtenburg Bram , Meijer Eelco F. J. , Scarselli Cristiano , Parisio Eva Maria , Sanguinetti Maurizio
Published: November 2024

Accurate identification and rapid genotyping of Candida parapsilosis, a significant opportunistic pathogen in healthcare settings, is crucial for managing outbreaks, timely intervention, and effective infection control measures. This study includes 24 clinical samples and 2 positive environmental surveillance swabs collected during a fluconazole-resistant Candida parapsilosis outbreak at the Tuscany Rehabilitation Clinic (Clinica di Riabilitazione Toscana, CRT), located in the province of Arezzo, Italy. Fourier-transform infrared (FTIR) spectroscopy, genetic sequencing of the ERG11 gene, and short tandem repeat (STR) analysis was applied to track the fluconazole-resistant C. parapsilosis outbreak at the CRT facility. FTIR analysis clustered the isolates into two major groups, correlating with resistance-associated ERG11 mutations (Y132F and R398I), azole resistance levels, and year of isolation. The combined use of FTIR spectroscopy and STR typing provided a comprehensive approach to identify and track fluconazole-resistant C. parapsilosis isolates, which identified specific clusters of genetically similar isolates. By comparison with feasible molecular techniques, we conclude that FTIR spectroscopy applied in real time can inform targeted infection control strategies and aid in the effective management of nosocomial infections.
Growth Promotion of Rice and Arabidopsis thaliana by Volatile Organic Compounds Produced by Endophytic Clonostachys Species
Authors: Chen Hui , Xu Jin , Shao Dengke , Zhao Chunfang , Xu Xiaohong , Xu Xihui , Chen Chen
Published: November 2024

Plant–endophytic fungi are widely distributed and highly diverse, with many of them capable of influencing plant growth and development, which is related to the production of volatile organic compounds (VOCs). While certain fungal VOCs have been found to stimulate plant growth, others exhibit inhibitory effects. Importantly, the impact of fungal VOCs extends beyond host plants to affect non-host plants as well. In this study, we isolated two plant–endophytic fungi, Clonostachys sp. CC1 and Clonostachys sp. CC2, from healthy rice roots. These strains were co-cultured with both rice and Arabidopsis thaliana. Our results demonstrated that both strains significantly enhanced the growth of both rice and A. thaliana. Specifically, they increased the length and biomass of rice and A. thaliana seedlings, as well as the chlorophyll content, while decreasing the H2O2 content in the leaves of both plants. The VOCs produced by these strains were analyzed using gas chromatography–mass spectrometry (GC-MS), which identified a total of 10 main ingredients. Among these compounds, 1-pentanol, ethylbenzene, and dimethyl phthalate inhibited the growth of rice while promoting the growth of A. thaliana, highlighting the variability in the effects of these compounds on different plant species and the complexity of plant–fungal interactions.
Disseminated Histoplasmosis in an Immunocompetent Patient from Southern Arizona
Authors: Crawford Monique , Weinstein Troy , Elliott Alexis , Klein Robert , Lee Michael , Reynolds Conner , Riaz Talha
Published: November 2024

In this review, we present a case report of an immunocompetent 58-year-old male who presented with disseminated histoplasmosis (DH) outside of the known endemic regions. Due to his atypical clinical presentation that did not fit the classical clinical picture of DH, the diagnosis was delayed. In addition, we researched DH in the immunocompetent hosts as these cases are not common and leave the patient population vulnerable to delayed diagnosis. The literature supports considering histoplasmosis in the differential diagnosis among patients who present with possible exposures outside of endemic regions and are immunocompetent.
Exploring the Molecular Mechanisms of Resistance to Prochloraz by Lasiodiplodia theobromae Isolated from Mango
Authors: He Rui , Liu Jinlin , Li Pengsheng , Zhang Yu , Liang Xiaoyu , Yang Ye
Published: November 2024

Mango stem-end rot caused by Lasiodiplodia theobromae is a major postharvest disease in China. Prochloraz is commonly used for disease control in mango orchards and in storage. However, prochloraz resistance has been detected in L. theobromae. This study aimed to explore the underlying mechanisms responsible for prochloraz resistance in L. theobromae. The results show that no point mutation in the target gene LtCYP51 of the prochloraz-resistant L. theobromae strain was detected, but the expression was upregulated significantly. Additionally, the full-length sequences of the cytochrome P450 gene CYP55A3 were successfully amplified and identified from L. theobromae, and the qRT-PCR results confirm that CYP55A3 was significantly upregulated after treatment with prochloraz. The knockout mutant of the CYP55A3 presented significantly lower gene expression levels than the wild-type strain HL02, with a 16.67-fold reduction, but a 1.34-fold reduction in P450 activities and a 1.72-fold increase in the accumulation of prochloraz in the mycelia. Treatment with the P450 enzyme inhibitor significantly synergized with the prochloraz toxicity. The wild-type strain was highly resistant to pyraclostrobin and carbendazim; similarly, the sensitivity of the knockout mutant to pyraclostrobin and carbendazim also notably increased. There was no significant difference between the wild-type strain and the gene-complemented strain. The homology model and molecular docking analysis provide evidence that prochloraz interacts with the protein structure of CYP55A3. These findings suggest that the overexpression of the target gene LtCYP51 and the detoxification gene CYP55A3 were involved in the molecular mechanisms of resistance to prochloraz by L. theobromae.
Association Between Sleep Position, Obesity, and Obstructive Sleep Apnea Severity
Authors: Strohm Mia , Daboul Amro , Obst Anne , Weihs Antoine , Busch Chia-Jung , Bremert Thomas , Fanghänel Jochen , Ivanovska Tatyana , Fietze Ingo , Penzel Thomas , Ewert Ralf , Krüger Markus
Published: November 2024

Background: This study examines the relationship between obstructive sleep apnea severity, sleep position, and body weight, particularly focusing on the negative impact of sleeping in a supine position combined with being overweight in a population-based sample. Methods: The Apnea-Hypopnea Index (AHI) was utilized as a marker of OSA severity and sleep position from a standardized overnight polysomnography. Participants were categorized by body mass index (BMI) (kg/m2) into normal weight/underweight (<25) and overweight (≥25). Results and Conclusions: The results indicated a higher mean Apnea-Hypopnea Index for those sleeping in the supine position compared to other positions, with overweight individuals experiencing a proportionally greater impact from sleep position than their normal-weight counterparts.
Detecting and Localizing Wireless Spoofing Attacks on the Internet of Medical Things
Authors: Jayaraj Irrai Anbu , Shanmugam Bharanidharan , Azam Sami , Thennadil Suresh
Published: November 2024

This paper proposes a hybrid approach using design science research to identify rogue RF transmitters and locate their targets. We engineered a framework to identify masquerading attacks indicating the presence of multiple adversaries posing as a single node. We propose a methodology based on spatial correlation calculated from received signal strength (RSS). To detect and mitigate wireless spoofing attacks in IoMT environments effectively, the hybrid approach combines spatial correlation analysis, Deep CNN classification, Elliptic Curve Cryptography (ECC) encryption, and DSRM-powered attack detection enhanced (DADE) detection and localization (DAL) frameworks. A deep neural network (Deep CNN) was used to classify trusted transmitters based on Python Spyder3 V5 and ECC encrypted Hack RF Quadrature Signals (IQ). For localizing targets, this paper also presents DADE and DAL frameworks implemented on Eclipse Java platforms. The hybrid approach relies on spatial correlation based on signal strength. Using the training methods of Deep CNN1, Deep CNN2, and Long Short-Term Memory (LSTM), it was possible to achieve accuracies of 98.88%, 95.05%, and 96.60% respectively.
Biodiversity of Diatoms as Indicators of Water Quality and Landscape Sustainable Dynamics in the Zarafshan River, Uzbekistan
Authors: Mamanazarova Karomat , Alimjanova Kholiskhon , Barinova Sophia
Published: November 2024

For the first time, we have compiled a general list of diatoms for the Zarafshan River consisting of 428 species based on our own research and the literature data. Indicator species for nine water parameters were identified, making up more than 90% of the list. Bioindicators and statistical methods revealed that sections of the river around the city of Samarkand and further in the middle reaches reflect the complexity of the impact of the environment on diatom communities. The surveyed sections of the middle reaches of the river are divided into branches and the dynamics of water parameters and diatom communities are shown from the border with Tajikistan to the confluence of the Zarafshan with the Amu Darya. The indices of organic pollution, S, and toxic impact, WESI, were calculated. They show that there is an increase in salinity and turbidity and a decrease in organic pollution downriver. At the same time, the Navoi section is a source of water acidification. Nutrients and heavy metals, as well as phenol pollution, enter the river from various sources, mainly in the middle reaches of the river. The Zarafshan Nature Reserve in the catchment area of the upper section of the river within Uzbekistan is important for maintaining water quality. Bioindicators show an increase in self-purification, with an increase in the species richness and abundance of diatoms in the middle section of the Zarafshan River. The integrated index of river pollution, RPI, shows that most pollution comes from the northern canal of the river in the middle reaches. A general look at the Zarafshan River catchment basin and the dynamics of the identified water parameters and bioindicator species of diatoms shows that the river ecosystem successfully copes with incoming pollution, including transboundary impacts from Tajikistan. Such a conclusion could not be made based on chemical analysis of the water alone. This allowed us to recommend expanding state monitoring points to the lower section of Karakul while including biological indicators in the observations.
Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning
Authors: Yang Kai , Wu Fan , Guo Hongxu , Chen Dongbin , Deng Yirong , Huang Zaoquan , Han Cunliang , Chen Zhiliang , Xiao Rongbo , Chen Pengcheng
Published: November 2024

Heavy metal pollution in agricultural land poses significant threats to both the ecological environment and human health. Therefore, the rapid and accurate prediction of heavy metal content in agricultural soil is crucial for environmental protection and soil remediation. Acknowledging the limitations of traditional single linear or nonlinear machine learning models in terms of prediction accuracy, this study developed an ensemble learning model that integrates multiple linear or nonlinear learning models with a random forest (RF) model to improve both the prediction accuracy and reliability. In this study, we selected a typical copper (Cu) polluted area in the Pearl River Delta of Guangdong Province as the research site and collected Cu content data and indoor soil reflectance spectral data from 269 surface soil samples. First, the soil spectral data were preprocessed using Savitzky–Golay (SG) smoothing, multiplicative scattering correction (MSC), and continuous wavelet transform (CWT) to reduce noise interference. Next, principal components analysis (PCA) was employed to reduce the dimensionality of the preprocessed spectral data, eliminating redundant features and lowering the computational complexity. Finally, based on the dimensionality-reduced data and Cu content, we established a stacked ensemble learning model, where the base models included SVR, PLSR, BPNN, and XGBoost, with RF serving as the meta-model to estimate the soil heavy metal content. To evaluate the performance of the stacking model, we compared its prediction accuracy with that of individual models. The results indicate that, compared to the traditional machine learning models, the prediction accuracy of the stacking model was superior (R2 = 0.77; RMSE = 7.65 mg/kg; RPD = 2.29). This suggests that the integrated algorithm demonstrates a greater robustness and generalization capability. This study presents a method to improve soil heavy metal content estimation using hyperspectral technology, ensuring a robust model that supports policymakers in making informed decisions about land use, agriculture, and environmental protection.