bluuebunny/crossref_metadata_2025 huggingface dataset:
Early Thrombocytopenia at Hospital Admission Predicts Mortality in Patients with Non-Isolated Severe Traumatic Brain Injury
Authors: Piñeiro Patricia , Calvo Alberto , Pérez-Díaz María Dolores , Ramos Silvia , García-Ramos Sergio , Power Mercedes , Solchaga Isabel , Rey Cristina , Hortal Javier , Turégano Fernando , Garutti Ignacio
Published: November 2024

Patients with severe traumatic brain injury (STBI) often experience an abnormal hemostasis that contributes to mortality and unfavorable neurological outcomes. Objectives: We aimed to analyze epidemiologic, clinical, and laboratory factors associated with mortality in patients with STBI during the first 48 h after in-hospital admission. Methods: We performed an observational retrospective study of STBI patients with associated extracranial trauma [defined as Injury Severity Score (ISS) ≥ 16 with an Abbreviated Injury Scale (AIS) head and neck ≥ 3 and Glasgow Coma Scale (GCS) ≤ 8] admitted to a Level II trauma center over seven years (2015–2021). Patients were divided into two groups: survivors and dead. We assessed differences regarding demographics, trauma severity, hemodynamics, disability, need for surgery, length of stay, transfusions, need for massive transfusion protocol, and hemostatic laboratory parameters at different time points. Results: A total of 134 STBI patients were included. Patients who died were older, mostly men, and showed higher trauma severity and disability. Hemoglobin, platelets, and clotting parameters deteriorated after admission to the emergency department (ED) with significant differences between groups within the first 24 h after admission. Platelet count < 150 × 103/μL at ED arrival, GCS, and age were independent risk factors for mortality. Conclusions: Older age, GCS, and platelet count at ED arrival were independent risk factors for mortality in STBI patients with associated extracranial trauma. Early thrombocytopenia < 150 × 103/μL at ED arrival may be used as a simple prognostic tool to early predict mortality between non-isolated STBI.
Humic Acid Derived from Vermicompost Inhibits Alveolar Bone Degradation and Protects Against Renal Injury in an Experimental Model of Periodontitis
Authors: Lima Karen Rodrigues , Tavares Hugo Giordano , Pereira Ramona Ramalho de Souza , Carvalho Jaqueline do Carmo Lima , Botelho Roberta de Oliveira , Reis Spuri Aline Chaves , Dobbss Leonardo Barros , Machado Alan Rodrigues Teixeira , Orlando Débora Ribeiro , Remédio Rafael Neodini , Paiva Saul Martins de , Moura Rodrigo Ferreira de , Dias-Peixoto Marco Fabrício , Pereira Luciano José , Andrade Eric Francelino
Published: November 2024

Background: Periodontal disease (PD) leads to the destruction of supportive tissues through an inflammatory response induced by biofilm accumulation. This low-grade systemic inflammation from PD increases the risk of comorbidities. Among potential therapeutic agents for PD, humic acids (HAs) are notable for their anti-inflammatory and immunomodulatory properties. This study aimed to evaluate the effects of varying HA doses on PD progression in an experimental model. Methods: Fifty-four Wistar rats were assigned to six groups (n = 8 each): control, PD, PD + 40 mg/kg HA, PD + 80 mg/kg HA, PD + 160 mg/kg HA, and PD + 320 mg/kg HA. HA from vermicompost was administered daily by gavage for 28 days, with PD induced by ligature on day 14. Post-euthanasia, mandibular samples were analyzed histomorphometrically for bone loss and osteocyte density. Alveolar bone topography and elemental composition were examined using Scanning Electron Microscopy (SEM) coupled with Energy Dispersive Spectroscopy (EDS). Renal and hepatic tissues were assessed histopathologically. Data were analyzed with Analysis of Variance (ANOVA) and Duncan’s test. Results: HA-treated animals showed reduced epithelial attachment loss and alveolar bone loss, with improved bone quality parameters, such as reduced pore number and diameter and increased osteocyte density compared to the PD group. Renal lesions observed in PD animals were mitigated at 40 and 80 mg/kg HA doses. Conclusions: HA treatment improves alveolar bone integrity and, at lower doses, reduces PD-induced renal lesions.
Antihypertensive, Anti-Inflammatory, and Antiangiogenic In Silico Activity of Lactoferrin-Derived Peptides of Equine Milk Hydrolysate
Authors: Narmuratova Meiramkul , Berillo Dmitriy , Narmuratova Zhanar , Tarlykov Pavel , Serikbayeva Assiya , Kanayat Shattyk
Published: November 2024

Background: Equine milk, including its whey proteins, is a source of nutrients and functional components in the human diet, and is especially beneficial for people with weakened immune systems, newborns, and athletes. Objectives Whey proteins in equine milk constitute approximately 20% of the total protein content and include various fractions such as albumin, globulin, and lactoferrin. Lactoferrin is one of the most extensively studied whey proteins in equine milk. Methods: HPLC-Mass analysis, enzymatic hydrolysis, modeling of 3D structure and biological activity in silico. Results: It has antioxidant, anti-inflammatory, and immunomodulatory properties, making it a promising candidate for influencing the various aspects of cardiovascular disease pathogenesis. The products of Lactoferrin hydrolysis by trypsin were confirmed using HPLC. The half-lives of the hydrolysate in the bloodstream and in an intestine-like environment were predicted in silico. Various biological activities (antihypertensive, anti-inflammatory, and antiangiogenic) were also estimated in silico and compared with the corresponding activities of lactoferrin hydrolysate amino acid sequences from camel and dromedary milk. Conclusions: The three-dimensional modeling of lactoferrin hydrolysate peptides was performed to support the development of computational models or simulations, as well as to investigate their potential antimicrobial, anti-inflammatory, or immune-modulating functions in clinical or nutritional applications.
The Implication of NT-proBNP in the Assessment of the Clinical Phenotype of Patients with Type 2 Diabetes Mellitus, Without Established Cardiovascular Disease
Authors: Gastouniotis Ioannis , Fragoulis Christos , Antonopoulos Alexis , Kouroutzoglou Alexandrina , Noutsou Marina , Thanopoulou Anastasia , Chrysohoou Christina , Tsioufis Konstantinos P.
Published: November 2024

Background: Natriuretic peptide (NP) levels have been proposed for characterization and risk stratification of heart failure (HF) among patients with cardiovascular disease (CVD). However, their role in patients with diabetes mellitus type 2 (T2DM) has not been well studied and understood. The aim of this study was to assess phenotypical, functional characteristics and imaging parameters in relation to N-terminal pro b-type natriuretic peptide (NT-proBNP) values in T2DM patients without known CVD that may predispose to overt HF. Methods: This was a cross-sectional study of 100 consecutive T2DM patients (mean overall age of 67 ± 9 years, 40% women and 60% men) who were enrolled from the outpatient diabetic clinic. Patients underwent a cardiopulmonary exercise test (CPET), and echocardiographic and cardiac magnetic resonance imaging (CMR); serum NT-proBNP was also measured. Results: The mean (standard deviation) NT-proBNP was 149 (±186) pg/mL. Patients in the highest tertile of NT-proBNP values (>107 pg/mL) had lower values of predicted maximum oxygen consumption compared to the lowest quartile (<55 pg/mL) (84% vs. 92%, p = 0.018) in the CPET and higher ratio of early diastolic mitral inflow velocity to early diastolic mitral annulus velocity (E/e′) (9.0 vs. 7.2, p = 0.05) in echocardiography. Finally, there was a negative correlation between right ventricle end diastolic volume in CMR and predicted maximum oxygen consumption (b = −0.225 ± 0.11, p = 0.046). Conclusions: NT-proBNP levels seemed to be a useful marker in people with T2DM, as elevated levels reflected ongoing appearance of HF with preserved ejection fraction and were related to CPET and echocardiographic indices of impaired left ventricular diastolic and right ventricular systolic function.
The Gut Microbiome’s Influence on Incretins and Impact on Blood Glucose Control
Authors: Dulai Ajay S. , Min Mildred , Sivamani Raja K.
Published: November 2024

Obesity and type 2 diabetes mellitus (T2DM) have been increasing in prevalence, causing complications and strain on our healthcare systems. Notably, gut dysbiosis is implicated as a contributing factor in obesity, T2DM, and chronic inflammatory diseases. A pharmacology exists which modulates the incretin pathway to improve glucose control; this has proven to be beneficial in patients with obesity and T2DM. However, it is unclear how the gut microbiome may regulate insulin resistance, glucose control, and metabolic health. In this narrative review, we aim to discuss how the gut microbiome can modulate incretin pathways and related mechanisms to control glucose. To investigate this, Google Scholar and PubMed databases were searched using key terms and phrases related to the microbiome and its effects on insulin and glucose control. Emerging research has shown that several bacteria, such as Akkermansia and MN-Gup, have GLP-1-agonistic properties capable of reducing hyperglycemia. While more human research is needed to prove clinical benefit and identify long-term implications on health, the usage of pre-, pro-, and postbiotics has the potential to improve glucose control.
A Computationally Guided Approach to Improve Expression of VHH Binders
Authors: Ozdemir Emine Sila , Tolley Jessica , Goncalves Florian , Gomes Michelle , Wagnell Eli , Branchaud Bruce , Dubrovskaya Viktoriya , Ranganathan Srivathsan V.
Published: November 2024

The variable heavy chain fragments derived from camelid antibodies, called VHHs or nanobodies, have recently shown promise as high-affinity reagents. They offer higher stability compared to conventional antibodies and fragments thereof. Furthermore, their smaller size (~15–20 kDa) allows better targeting of molecules localized inside the cell and in crowded environments, like tissues and protein aggregates. Despite these advantages, nanobody clones screened using phage display can suffer from poor soluble expression, which we hypothesized is due to the presence of hydrophobic hotspots on their surface. In this work, we propose a novel, computationally guided workflow for screening and production of nanobody binders for optimized expression. After an initial round of phage display screens against our target (K-Ras), we modeled the lead candidates to generate spatial aggregation propensity (SAP) maps to highlight the hydrophobic hotspots with single amino acid resolution, which were subsequently used to guide mutagenesis of the binders for soluble expression. We followed two approaches to perform point hydrophilic mutations: (i) performing point hydrophilic mutations in the hydrophobic hotspots; (ii) combining point mutation resulting from a round of random mutagenesis that show favorable SAP scores. Both approaches led to a remarkable increase in soluble expression, which allowed production and characterization of their binding to their target (K-Ras) on soluble ELISA and biolayer interferometry. We observed that the latter approach resulted in clones with stronger binding affinity compared to the former approach. Our results emphasize the need to perform a round of random mutagenesis to identify point mutations, which can then be used in an in silico guided pipeline to identify the right combination of mutations for high soluble expression.
Coincidence of Concentric Vessel-Wall Contrast Enhancement in Moyamoya Disease and Acute Postoperative Ischemic Stroke During Revascularization Procedures
Authors: Haas Patrick , Hauser Till-Karsten , Wiggenhauser Lucas Moritz , Zerweck Leonie , Tatagiba Marcos , Khan Nadia , Roder Constantin
Published: November 2024

Background: Concentric vessel-wall contrast enhancement (VW-CE) of the terminal carotid artery and its proximal branches may be linked to ischemic strokes, disease activity and progression in Moyamoya disease (MMD). The objective of this retrospective cohort study is to analyze the association between VW-CE and perioperative acute ischemic stroke (PAIS) occurring within 24 h after revascularization. Methods: All previously untreated MMD patients who required revascularization and who had undergone preoperative MRI with VW-CE-sequences were included. PAIS was detected by CT and/or diffusion-weighted MRI sequences within 24 h postoperatively. Results: Of the 110 patients included (female-to-male ratio: 2.7:1, median age: 45.1 (16.6–69.2); n = 247 revascularizations), a priori VW-CE was present in 67.3% (mean time from MRI to first surgery: 86 days ± 82 days). PAIS occurred in five patients undergoing primary revascularization (PAIS rate per revascularization: 2.1%), all of whom had a preoperative pathological VW-CE in the vascular segment corresponding to the stroke area. Two (40%) incidents of PAIS occurred in revascularized territory, while three (60%) occurred in non-revascularized vascular territory. In each case, the supplying artery exhibited VW-CE, indicating disease activity. No additional PAIS occurred during subsequent revascularizations in cases of multistage procedures (n = 38), such as ACA or PCA revascularization as a second step. Conclusions: Preoperative VW-CE in one or more vascular segments may be a marker for postoperative stroke in the respective vascular territory at the time of revascularization. VW-CE imaging should be routinely performed when planning revascularization in MMD. If VW-CE is found, strict perioperative monitoring of these high-risk patients should be performed to achieve the best results possible.
Erlotinib Improves the Response of Glioblastoma Cells Resistant to Photodynamic Therapy
Authors: Olthoff Karen , Nigra Ayelén D. , Milla Sanabria Laura N.
Published: November 2024

Background: Glioblastoma (GBM) is the most common and deadly type of brain cancer in adults. Dysregulation of receptor tyrosine kinase pathways, such as the epidermal growth factor receptor (EGFR), contributes to therapeutic resistance. Drugs that inhibit tyrosine kinase activity and monoclonal antibodies against EGFR are strategies used in clinical trials. Photodynamic therapy (PDT) is a tumor treatment that involves the administration of a photosensitizing drug, followed by its activation with visible light, which causes cell death due to oxidative stress. Although PDT helps prolong median survival in patients with GBM, complete remission has not been achieved. Populations of GBM cells have been obtained from the T98G line resistant to PDT with methyl-5-aminolevulinic acid (Me-ALA) for characterization, comparing them with the original parental population. Objective: The objective of this work was to evaluate the general response of T98G GBM cells resistant to PDT when EGFR activity is inhibited with the drug erlotinib. Methods and Results: It has been observed that the administration of the EGFR inhibitor drug in combination with PDT reduced viability (MTT) in resistant populations compared to PDT alone. Furthermore, the PpIX content (flow cytometry) was increased in the resistant population when cells were incubated with Me-ALA and erlotinib. Erlotinib prevented cell proliferation of parental and resistant spheroids. Wound closure was reduced in both parental and PDT-resistant populations. Conclusions: Our results indicate that EGFR activation would be relevant in the resistance of GBM cells to PDT.
The Effect of Bilateral, Two-Level Cervical Sympathetic Chain Blocks on Specific Symptom Clusters for Traumatic Brain Injury, Independent of Concomitant PTSD Symptoms
Authors: Mulvaney Sean W. , Lynch James H. , Mahadevan Sanjay , Dineen Kyle J. , Rae Olmsted Kristine L.
Published: November 2024

Background/Objectives: The aim of this study was to determine if performing ultrasound-guided, bilateral, two-level cervical sympathetic chain blocks (2LCSBs) (performed on subsequent days) improves symptoms associated with traumatic brain injury (TBI) that do not overlap with posttraumatic stress disorder (PTSD). Methods: A retrospective chart review was conducted between August 2022 and February 2023. We identified twenty patients who received bilateral 2LCSBs for PTSD and anxiety symptoms and who also had a history of TBI. Neurobehavioral Symptom Inventory (NSI) scores were collected at baseline, one week, and one month post treatment in 13 males and 7 females. A sub-analysis of the first ten questions of the NSI, which we identified as not overlapping with PTSD or anxiety symptoms, generated an NSI sub-score. Results: Out of 20 patients, all showed improvement in their NSI scores and NSI sub-scores. The NSI sub-scores had a baseline average of 15.45 (on a 40-point scale); the average score at one week post treatment was 8.30; and that at one month post treatment was 7.80. This represents a 49.51% improvement in TBI symptoms which did not overlap with PTSD or anxiety symptoms between baseline and one month. Conclusions: The use of bilateral 2LCSBs may be helpful in treating patients with TBI, regardless of the presence of comorbid PTSD symptoms.
A Multi-Point Correlation Model to Predict and Impute Earth-Rock Dam Displacement Data for Deformation Monitoring
Authors: Pi Lilang , Yue Chunfang , Shi Jiachen
Published: November 2024

Deformation is a critical indicator of structural integrity, and monitoring deformation is essential for ensuring the long-term safety of dams. However, characterizing the spatial correlations among dam deformation sequences and the similarity between displacements at various measurement points poses significant challenges when using single-point measurement models. Considering the limitations inherent in conventional models for processing spatiotemporal data, this paper introduces a novel model for predicting and imputing multi-point displacement monitoring data from earth-rock dams. The model integrates a convolutional neural network (CNN) with a bidirectional long short-term memory neural network (BiLSTM) while also incorporating an attention mechanism (AM). The CNN captures the spatial features of the displacement data, while the BiLSTM extracts temporal features. The AM assigns varying weights to input features, thereby enhancing the predictive accuracy of the model. The proposed model was experimentally validated, demonstrating its robust capabilities in data prediction and the imputation of missing data. The model provides a new strategy for forecasting dam deformation and addressing issues related to incomplete data.
Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals
Authors: Gu Aijun , Liu Zefeng , Pan Rui , Xu Bo
Published: November 2024

The real-time assessment of structural damage in concrete structures using the acoustic emission (AE) technique presents substantial challenges. Traditional AE parameters often fail to effectively quantify the extent of concrete damage in real time. To address this limitation, an Instantaneous Dominant Frequency (IDF) method is proposed for identifying critical damage in concrete. This method leverages empirical mode decomposition (EMD), a self-adaptive time-frequency analysis approach, to process AE signals. By identifying the primary intrinsic mode function (IMF) and extracting the instantaneous frequency with the largest amplitude—termed the IDF—this method captures the dominant frequency characteristics of complex damage sources. The variation in IDF values provides insights into the progression of structural damage. In this study, AE signals obtained from uniaxial compression and four-point bending tests were analyzed using the IDF method. The results show that when the IDF value exceeds 300 kHz, significant damage, such as critical damage, occurs. These findings suggest that the IDF method offers an effective and reliable approach for identifying critical damage and determining the structural damage state during the failure process.
Influence of Rocking Shallow Foundation Parameters and Analysis of Seismic Response Characteristics
Authors: Bin Jia , Huang Ziwei , Wu Junpeng , Pan Panyu , Jing Liping
Published: November 2024

Rocking shallow foundations interrupt the seismic transmission path from the base of the structure and possess advantages, such as effective seismic isolation, self-resetting capabilities post-earthquake, and low costs. A numerical model of the rocking shallow foundation was developed in OpenSees (version: Opensees 3.5.0) based on field test data using numerical simulation. The effect of different parameters (column height, foundation sizes, top mass, and soil softness and stiffness) on the seismic response characteristics of rocking shallow foundations is investigated, and the seismic response characteristics of rocking shallow foundations are analyzed under the action of sinusoidal waves of different frequencies and various seismic wave types. The results of the study show that, as the height of the column increases, the bending moment decreases and settlement decreases; as the size of the foundation increases, the bending moment increases and settlement increases; as the mass of the top increases, the bending moment increases and settlement increases; and as the soil becomes softer, the bending moment decreases, and settlement increases. Inputting a sine wave that matches the structure’s natural oscillation frequency may induce resonance. This phenomenon can significantly amplify the structure’s vibrations; thus, it is essential to avoid external excitation frequencies that coincide with the foundation’s natural oscillation frequency. Under seismic loading, the rocking shallow foundation can mitigate the bending moment in the superstructure. When the displacement ratio remains within −0.5 to 0.5 percent, the foundation settlement is minimal. However, when the absolute displacement ratio exceeds 0.5 percent, the soil exhibits plastic deformation characteristics, resulting in increased foundation settlement. This study is an important contribution to the improvement of seismic performance of buildings and an important reference for improving seismic design standards and practices for buildings in earthquake-prone areas. In the future, the seismic response characteristics of rocking shallow foundations under bidirectional seismic action will be investigated.
Research Progress of Automation Ergonomic Risk Assessment in Building Construction: Visual Analysis and Review
Authors: Qin Ruize , Cui Peng , Muhsin Jaleel
Published: November 2024

In recent years, the increasing demand for worker safety and workflow efficiency in the construction industry has drawn considerable attention to the application of automated ergonomic technologies. To gain a comprehensive understanding of the current research landscape in this field, this study conducts an in-depth visual analysis of the literature on automated ergonomic risk assessment published between 2001 and 2024 in the Web of Science database using CiteSpace and VOSviewer. The analysis systematically reviews key research themes, collaboration networks, keywords, and citation patterns. Building on this, an SWOT analysis is employed to evaluate the core technologies currently widely adopted in the construction sector. By focusing on the integrated application of wearable sensors, artificial intelligence (AI), big data analytics, virtual reality (VR), and computer vision, this research highlights the significant advantages of these technologies in enhancing worker safety and optimizing construction processes. It also delves into potential challenges related to the complexity of these technologies, high implementation costs, and concerns regarding data privacy and worker health. While these technologies hold immense potential to transform the construction industry, future efforts will need to address these challenges through technological optimization and policy support to ensure broader adoption.
A Hybrid Framework for Multi-Objective Construction Site Layout Optimization
Authors: Borges Maria Luiza Abath Escorel , Granja Ariovaldo Denis , Monteiro Ari
Published: November 2024

Effective Construction Site Layout Planning (CSLP) ensures the organized placement and sizing of temporary facilities, enhancing workflow and logistical efficiency. Poorly planned layouts, however, can increase material handling times, create bottlenecks, and reduce productivity, ultimately leading to higher costs. The main objective of this study is to introduce a BIM-based hybrid framework for CSLP that integrates Systematic Layout Planning (SLP) with a Genetic Algorithm (GA), developed through a Design Science Research approach. This Construction Site Optimization Framework (CSOF) addresses CSLP as a multi-objective optimization problem, prioritizing efficient positioning of facilities while accounting for workflow intensity, safety, and manager preferences. The framework’s continuous-space modeling supports a realistic approach, moving beyond fixed-location models. Exploratory case studies demonstrated CSOF’s effectiveness, achieving 30.79% to 40.98% reductions in non-value-adding travel distances and adaptability across varied site conditions. In this way, this research provides a decision-support tool that balances automation with decision-maker input, enhancing layout efficiency and operational flexibility in construction site management.
Study on the Shock-Absorption Performance of Isolation Systems in High-Rise Vertically Irregular Double-Story Structures
Authors: Tang Jie , Liu Dewen
Published: November 2024

(1) Research background: The aim of this study was to explore the seismic response of vertically irregular high-rise buildings using a double-layer isolation system. (2) Methods: A 24-story vertically irregular high-rise frame-shear wall structure was designed, and the finite element model of the double-layer isolation structure was established, as well as the models of the seismic structure, the foundation isolation structure, and the story-separated seismic structure. A dynamic time–history analysis of these models under rare ground motion was carried out. (3) Results: The double-layer isolation system has the best isolation effect, followed by the foundation isolation structure, and finally the interlayer structure. The double-layer isolation system can increase the natural vibration period of the structure by 1.25 times, reduce the displacement angle of the layer by about 74.3%, reduce the acceleration of the top layer by about 82.3%, reduce the base shear force by about 59.68%, reduce the overturning moment of the bottom layer by about 68.89%, and reduce the torsion angle of the top layer by about 89.68%. (4) Conclusions: The double-layer isolation system can effectively reduce the overall seismic response of the structure and effectively control the torsional response of the structure, which makes it feasible for application.
Improving Interlayer Adhesion of Cementitious Materials for 3D Construction Printing
Authors: Medvedev Vyacheslav , Pustovgar Andrey , Adamtsevich Aleksey , Adamtsevich Liubov , Abramova Anastasia
Published: November 2024

The popularity of additive technologies in construction is increasing every year. At the same time, there are still a significant number of unresolved issues in this area related to the complexity of ensuring uniformity of printing due to technical difficulties with the mortar. One of the main issues is the adhesion of printed layers. This is especially true for continuing the printing process after it has been suspended with the formation of a cold joint. The authors consider the possibility of improving the technological properties of 3D construction printing (3DCP) mortars by introducing redispersible polymer powders (RPPs) and surface-active substances (SASs) into their composition. A comprehensive analysis of the effectiveness of various RPPs and SASs was carried out using standard testing methods to identify the most effective options and combinations of admixtures depending on their structure and mechanism of action. Laboratory tests of the mortar composition for 3DCP using the selected RPPs and SASs were carried out with the imitation of the formation of a cold joint. The most effective combination of RPPs and SASs was used to create the mortar for making the form-forming element using a construction 3D printer. Based on the results of the tests, the patterns of RPPs and SASs influence on the adhesive strength of such mixtures were determined.
Safety Risk Prediction Model of High-Rise Building Construction Based on Key Physiological Index
Authors: Chen Haiyan , Mao Yihua , Wang Rui
Published: November 2024

The tasks conducted on a high-rise building are complex and dangerous, and the construction safety of the construction personnel needs to have a higher guarantee. In this study, the key physiological indicators of high-rise construction workers were monitored and collected in real time by selecting a smart wearable device integrated with multiple sensors. On this basis, the key physiological index parameters are analyzed and screened, which are taken as input parameters, and the construction risk prediction results are taken as output. The BP neural network model and support vector machine (SVM) are, respectively, used to establish the safety risk prediction model of high-rise construction workers based on key indicators, to quantitatively assess the construction risk of the construction workers in the process of high-rise construction. The results showed that heart rate and blood pressure had the greatest impact on the construction safety of the construction worker, followed by the duration of work, age, working period, and gender. Compared with the BP neural network, the risk prediction model established by SVM can obtain more accurate prediction results under the condition of a smaller training data set. The presented research can not only effectively reduce the health threats caused by the physical and psychological effects faced by construction personnel when working at altitude and ensure construction safety, but also further enrich the application scenarios of multi-sensor data-driven equipment and expand its application in the construction field.
Study on Multi-Scenario Rain-Flood Disturbance Simulation and Resilient Blue-Green Space Optimization in the Pearl River Delta
Authors: Dai Wei , Tan Yang
Published: November 2024

In the face of global climate change and rapid urbanization, the Pearl River Delta is confronted with frequent river floods and heavy rainfall, which leads to substantial economic losses and casualties. Enhancing the role of blue-green space in rain-flood resilience is crucial for mitigating such damages in this new era. Firstly, based on an analysis of the current status quo of blue-green space in the Pearl River Delta and the identification of potential areas at risk from rain and floods, this paper elucidates that resilient blue-green space in the Pearl River Delta should be guided by a systematic, bottom-line, and forward-looking orientation while considering spatial characteristics such as multi-scale network connectivity, redundancy and diversity/multi-functionality. Secondly, an optimization route is proposed based on steps of analysis of existing blue-green space, identification of inundated areas prone to rain and flood damage and optimization of blue-green spaces. Strategies for optimizing blue-green space are put forth including enhancing water corridor connectivity, optimizing ecological barriers and corridors, as well as constructing water gates to control hydrological flow direction. Simulation results demonstrate that under similar rain-flood disaster conditions, optimized blue-green space exhibits smaller sizes and lower depths of potential inundated areas compared to the original ones.
Statistical Evaluation of Uniform Temperature and Thermal Gradients for Composite Girder of Tibet Region Using Meteorological Data
Authors: Liu Yujuan , Ma Zhiyuan , Liu Jiang
Published: November 2024

To accurately assess the temperature action and effect of steel-concrete composite girder bridges in plateau and cold areas, this paper investigated nearly 50 years of historical meteorological data from 26 meteorological observation stations in the Tibet region of China. Based on the most unfavorable extreme meteorological data at each meteorological station, a finite element model was used to analyze the temperature field of the composite girder. The most unfavorable values of temperature were obtained. The regional differences in temperature actions at different meteorological stations were analyzed, and the isotherm maps of the extreme values of the uniform temperature and thermal gradients were further obtained based on spatial interpolation methods in the ArcGIS program. The study shows that the uniform temperature is significantly affected by the climatic environment, and the isotherm maps provide a visual representation of the geographic distribution pattern of temperature extremes. The maximum and minimum uniform temperatures in Tibet range from 18.28 °C to 42.27 °C and from −41.07 °C to 4.71 °C respectively. The maximum regional difference of positive and negative thermal gradient reaches 11.32 °C and 7.69 °C respectively. The temperature effects calculated using the most unfavorable values of the isotherm map are all more unfavorable than the specification calculations. In particular, the tensile stress of the concrete under the positive thermal gradient reaches 2.91 MPa, which exceeds the standard value of the tensile strength of concrete. This is a significant risk factor for cracking. The compressive stress of the steel girder under a negative thermal gradient reaches 19.35 MPa, which represents a 136% increase compared to the specified value. This increase elevates the risk of instability in the steel girder.
Graphitic Carbon Nitride: A Novel Two-Dimensional Metal-Free Carbon-Based Polymer Material for Electrochemical Detection of Biomarkers
Authors: Sasikumar Ganesan Kausalya , Raja Pitchai Utchimahali Muthu , Jerome Peter , Shenthilkumar Rathinasamy Radhamani , Balla Putrakumar
Published: November 2024

Graphitic carbon nitride (g-C3N4) has gained significant attention due to its unique physicochemical properties as a metal-free, two-dimensional, carbon-based polymeric fluorescent substance composed of tris-triazine-based patterns with a slight hydrogen content and a carbon-to-nitrogen ratio of 3:4. It forms layered structures like graphite and demonstrates exciting and unusual physicochemical properties, making g-C3N4 widely used in nanoelectronic devices, spin electronics, energy storage, thermal conductivity materials, and many others. The biomedical industry has greatly benefited from its excellent optical, electrical, and physicochemical characteristics, such as abundance on Earth, affordability, vast surface area, and fast synthesis. Notably, the heptazine phase of g-C3N4 displays stable electronic bands. Another significant quality of this semiconductor material is its excellent fluorescence property, which is also helpful in preparing biosensors. Based on g-C3N4, electrochemical biosensors have provided better biocompatibility, higher sensitivity, low detection limits, nontoxicity, excellent selectivity, and surface versatility of functionalization for the delicate identification of target analytes. This review covers the latest studies on using efflorescent graphitic carbon nitride to fabricate electrochemical biosensors for various biomarkers. Carbon nitrides have been reported to possess excellent electroactivity properties, a massive surface-to-volume ratio, and hydrogen-bonding functionality, thus allowing electrochemical-based, highly sensitive, and selective detection platforms for an entire array of analytes. Considering the preceding information, this review addresses the fundamentals and background of g-C3N4 and its numerous synthesis pathways. Furthermore, the importance of electrochemical sensing of diverse biomarkers is emphasized in this review article. It also discusses the current status of the challenges and future perspectives of graphitic carbon nitride-based electrochemical sensors, which open paths toward their practical application in aspects of clinical diagnostics.
Direct Interaction Between CD34+ Hematopoietic Stem Cells and Mesenchymal Stem Cells Reciprocally Preserves Stemness
Authors: Safi Rémi , Mohsen-Kanson Tala , Kouzi Farah , El-Saghir Jamal , Dermesrobian Vera , Zugasti Inés , Zibara Kazem , Menéndez Pablo , El Hajj Hiba , El-Sabban Marwan
Published: November 2024

Background/Objectives: A specialized microenvironment in the bone marrow, composed of stromal cells including mesenchymal stem cells (MSCs), supports hematopoietic stem cell (HSC) self-renewal, and differentiation bands play an important role in leukemia development and progression. The reciprocal direct interaction between MSCs and CD34+ HSCs under physiological and pathological conditions is yet to be fully characterized. Methods: Here, we established a direct co-culture model between MSCs and CD34+ HSCs or MSCs and acute myeloid leukemia cells (THP-1, Molm-13, and primary cells from patients) to study heterocellular communication. Results: Following MSCs-CD34+ HSCs co-culture, the expression of adhesion markers N-Cadherin and connexin 43 increased in both cell types, forming gap junction channels. Moreover, the clonogenic potential of CD34+ HSCs was increased. However, direct contact of acute myeloid leukemia cells with MSCs reduced the expression levels of connexin 43 and N-Cadherin in MSCs. The impairment in gap junction formation may potentially be due to a defect in the acute myeloid leukemia-derived MSCs. Interestingly, CD34+ HSCs and acute myeloid leukemia cell lines attenuated MSC osteoblastic differentiation upon prolonged direct cell–cell contact. Conclusions: In conclusion, under physiological conditions, connexin 43 and N-Cadherin interaction preserves stemness of both CD34+ HSCs and MSCs, a process that is compromised in acute myeloid leukemia, pointing to the possible role of gap junctions in modulating stemness.
The Association of the COVID-19 Pandemic with the Uptake of Colorectal Cancer Screening Varies by Socioeconomic Status in Flanders, Belgium
Authors: Zheng Senshuang , Ding Lilu , Greuter Marcel J. W. , Tran Thuy Ngan , Sidorenkov Grigory , Hoeck Sarah , Goossens Mathieu , Van Hal Guido , de Bock Geertruida H.
Published: November 2024

Objectives: To assess the association of the COVID-19 pandemic with an uptake rate and screening interval between two screening rounds in colorectal cancer screening program (CRCSP) and identify the disproportionate correlation of socioeconomic status (SES) factors. Methods: An analysis was performed on aggregated screening and SES data at the area level in Flanders, Belgium, during 2018–2022. The screening uptake rate was the percentage of people returning self-test results within 40 days after invitation, and the screening interval was the number of days between current and previous screening. Differences in uptake rate and screening interval before and during COVID-19 were categorized into 10 quantiles, and determinants were evaluated using quantile regression models. Results: Significant change was seen from March to August 2020. The areas with the greatest decrease in uptake rate and screening interval had low population density, and areas with the greatest increase in screening interval had the highest income and percentage of home ownership. In regression analysis, more people living alone (β = −0.09), lower income (β = 0.10), and a higher percentage of home ownership (β = −0.06) were associated with a greater decrease in uptake rate. Areas with lower population density (β = −0.75), fewer people of Belgian nationality (β = −0.11), and higher income (β = 0.42) showed greater increases in screening interval. Conclusions: During the COVID-19 pandemic, people in areas with low SES were less likely to participate in screening, whereas people in areas with high SES were more likely to delay participation. A tailored invitation highlighting benefits of CRCSP is needed for people with low SES to improve uptake. Timely warnings could help people who delay participation adhere to screening intervals.
Green Diesel Production Catalyzed by MoNi Catalysts Supported on Rice Husk Biochar
Authors: Kordouli Eleana , Vourtsani Panagiota-Iliana , Mourgkogiannis Nikolaos , Zafeiropoulos John , Bourikas Kyriakos , Kordulis Christos
Published: November 2024

Nickel-based catalysts promoted by Mo-oxo species have been proven to be quite promising for transformation of triglycerides into green diesel. The selection of the support for such catalysts is crucial. In the present study, pyrolyzed rice husk subjected to acid and/or alkaline post-treatment was studied as support for the aforementioned catalysts. Biochar produced by slow pyrolysis of raw material at 850 °C for 5 h under limited-oxygen conditions exhibited the most promising textural characteristics. These were substantially improved by alkaline post-treatment. Thus, the corresponding MoNi catalysts proved the most efficient for upgrading used cooking oil (UCO) to green diesel via a solvent-free hydrotreatment process, performed in a semi-batch reactor (at 310 °C, 40 bar, 100 mL/min H2, 100 mL UCO and 1 g of catalyst). The enhanced catalytic performance (complete conversion of UCO and 32 wt.% green diesel yield) of MoNi catalysts supported on biochar subjected at least to an alkaline post-treatment step has been attributed to their high SSA, suitable pore size distribution (enhanced mesoporosity), and acidity (enhanced population of acid sites with moderate strength), as well as to the high dispersion of the active phase.
Syngas Production by Fe2SiO4 Oxygen Carrier in Chemical Looping Partial Oxidation of Methane
Authors: Lai Yue , Cao Ganming , Fang Yanhong , Wang Chengrui , Duan Huamei , Li Yandong , Chen Dengfu , Long Mujun
Published: November 2024

Chemical looping partial oxidation of methane (CLPOM) is a low energy consumption and environmentally friendly new technology that can generate syngas. The main challenge is to find suitable oxygen carriers, which should be highly active, stable, low cost, and eco-friendly. This study found that Fe2SiO4 had good reactivity in the CLPOM process. Thermodynamic calculations were carried out by FactSage8.1 to demonstrate the feasibility of Fe2SiO4 as an oxygen carrier for CLPOM. Fe2SiO4 was prepared by the direct ball milling method and the high-temperature solid-phase synthesis method. The reaction properties of Fe2SiO4 were investigated in the fixed bed reactor. The XRD and FTIR results indicate that Fe2SiO4 can be synthesized successfully through the high-temperature solid-phase synthesis method. The results of fixed bed experiments showed that when the reaction temperature was 980 °C and the reaction time was 28 min, the XCH4 reached 87%, and the SH2 and SCO were 70% and 71%, respectively. Subsequently, 20 redox cycle experiments were conducted under the optimal reaction conditions. The results showed that Fe2SiO4 exhibited good reactivity in the first two cycles, and as the reaction progressed, the reduced oxygen carrier could not regain the lattice oxygen, leading to a decline in cyclic performance. This study demonstrates that Fe2SiO4 can couple CO2 and CH4 to produce syngas and is conducive to reducing carbon emissions.
Cu/Fe-UZM-35 Catalysts for NOx Abatement in Diesel Vehicles for Next-Stage Emission Standards
Authors: Hu Yanting , Fan Kai , Du Jinpeng , Liu Jianqi , Yan Zidi , Shen Tao , Xiao Hang , Shan Yulong , Zhang Shoute , Yan Yong , Shan Wenpo , Yu Yunbo
Published: November 2024

Cu-based zeolite catalysts face the challenge of high N2O emissions, while Fe-based zeolite ones suffer from insufficient low-temperature activity and hydrothermal stability. To combat these issues, we developed Cu-Fe-coupled UZM-35 zeolite catalysts with NOx conversion over 85% in the temperature range of 175 °C. Meanwhile, over 80% of NOx can be converted between 150 and 550 °C. Furthermore, over 95% of N2 selectivity was obtained in the whole temperature range. Over these catalysts, Cu and Fe species were uniformly dispersed, being mostly in ionic forms; their presence hardly changed the framework and pore structure of the zeolite. Moreover, the Cu-Fe bimetallic zeolite contained abundant acid sites and even more active species, which ensured its superior catalytic performance for NOx reduction. In addition, the coupling of Cu and Fe stabilized both framework and active sites; therefore, superior hydrothermal stability was obtained. This study provides valuable insights for the development of SCR catalysts for diesel vehicles aimed at meeting future emission standards.
Persistent Symptoms (Lasting Longer than 1 Year) in Children Hospitalized with Acute COVID-19 Versus Other Conditions
Authors: Conde Marta , Gastesi Irati , de Pablo Lucía , Villanueva-Medina Sara , Aguilera-Alonso David , Esteban Ana , Epalza Cristina , López María , Domínguez-Rodríguez Sara , Gómez Pablo , Ballesteros Álvaro , Pinto Carlota , Navarro Marisa , Giaquinto Carlo , Moraleda Cinta , Tagarro Alfredo
Published: November 2024

Background: We evaluated the prevalence and characteristics of persistent signs and/or symptoms in children and young people (CYP) one year after hospitalization for acute COVID-19 compared with a control group of CYP hospitalized for other conditions. Methods: We conducted an observational study in three hospitals in Madrid, which included a group of children aged between 1 month and 18 years who were hospitalized due to acute COVID-19 from March 2020 to December 2021. We also selected a comparison group of patients hospitalized for other, unrelated conditions within the same month. Eligible participants had no history of COVID-19 at recruitment or during follow-up. Data were collected from clinical records and a standardized questionnaire completed by the patients’ families. The primary outcome was the presence of persistent symptoms one year after hospitalization. Results: A total of 96 patients were enrolled and analyzed (50 acute COVID-19 patients and 46 non-COVID-19 participants). Of these, 34/96 (35%) met the criteria for persistent symptoms (CYP: 17/50 (34%) COVID-19 participants and 17/46 (37%) non-COVID-19 participants (p = 0.767)). Symptoms persisted ≥12 months in 14/50 (28%) COVID-19 participants and in 7/46 (15%) non-COVID-19 participants (p = 0.140). Both before and after admission, all of the participants provided similar ratings for all of the specific items related to emotional welfare, social relationships, and current activities. Readmissions occurred in 11/50 (22%) COVID-19 participants and in 6/46 (13%) non-COVID-19 participants (p = 0.267). Conclusions: We identified a non-significant difference in the prevalence of persistent symptoms 1 year after hospitalization between children and young people (CYP) with acute COVID-19 and those hospitalized for non-COVID-19-related conditions.