Damage Factor Research Articles

Comparative Study of Dyslipidemia in Diabetic Patients with Diabetic Nephropathy and Diabetic Patients without Nephropathy

Background: Dyslipidemia is a significant risk factor for cardiovascular complications and renal damage in diabetic patients, particularly those with nephropathy. It exacerbates diabetic nephropathy (DN) progression through mechanisms such as oxidative stress and glomerulosclerosis. Objectives: This study aimed to compare lipid abnormalities between diabetic patients with nephropathy and those without, assess correlations with glycemic control and urinary microalbumin, and evaluate dyslipidemia’s impact on renal function. Methods: A cross-sectional study was conducted at Patna Medical College & Hospital involving 60 diabetic patients aged 20–60 years, divided into two groups: diabetic patients with nephropathy (Group A, n=30) and without nephropathy (Group B, n=30). Demographics, lipid profiles, glycemic parameters, and renal function were analyzed. Dyslipidemia prevalence was assessed, and statistical significance was determined using SPSS (p<0.05 considered significant). Results: Dyslipidemia was more prevalent in the nephropathy group (73.3% vs. 46.7%, p=0.03), with significantly elevated cholesterol, triglycerides, LDL-C, and reduced HDL-C levels. Mean fasting glucose, postprandial glucose, and HbA1c levels were also higher in the nephropathy group (p<0.05). Conclusion: Dyslipidemia is significantly more severe in diabetic patients with nephropathy, linked to poor glycemic control and renal dysfunction. Targeted lipid management strategies are essential to mitigate cardiovascular and renal risks in these patients.

Enhancing the Performance of Layered Wood Composites Through the Non-Food Application of Dietary Fiber in Their Bonding Matrix

Rye flour is a commonly used filler in plywood production, made from finely ground rye grains. It enhances glue viscosity, ensuring even distribution and better adhesion, which improves the plywood’s mechanical properties, dimensional stability, and resistance to warping. Additionally, rye flour increases the plywood’s strength and durability, making it more resistant to mechanical damage and external factors. Its affordability and availability further support its widespread use in plywood production. However, the growing availability of new raw materials has sparked interest in alternative fillers, especially considering food waste challenges caused by low demand or poor household management. This study explores the potential of spirulina, bamboo flour, lupine flour, and coconut flour as alternative fillers to rye flour, being part of the food chain, in three-layer plywood production. Plywood panels were manufactured using birch and pine veneers, urea-formaldehyde resin, and varying filler contents (10, 15, and 20 parts by weight/pbw). Key mechanical properties were evaluated, including modulus of elasticity (MOE), modulus of rupture (MOR), shear strength, density profile, and filler water absorption. The highest MOE for hardwood plywood was observed with coconut flour (20 pbw, 17,228 N mm−2). Conversely, the lowest MOE values were recorded for coniferous plywood with spirulina (8440 N mm−2). For MOR, the best performance in softwood was achieved using lupine flour (10 pbw, 113 N mm−2), while coconut flour yielded the highest MOR in hardwood plywood (20 pbw, 177 N mm−2). Spirulina exhibited the lowest MOR (72 N mm−2, 15 pbw). Shear strength peaked with lupine and coconut flour. The filler composition determines adhesive properties and bond performance through water absorption, structural interactions, and filler content optimization. These findings emphasize the potential for fine-tuning alternative fillers to achieve desired mechanical performance, ensuring sustainable and efficient plywood production. These also demonstrate the potential of certain alternative fillers, particularly coconut and lupine flours, excluded from the food value chain, in improving specific properties of plywood.

Prospects for Oak Cultivation in Europe Under Changing Environmental Conditions and Increasing Pressure from Harmful Organisms

It is assumed that climate change (global warming) worsens the living conditions for conifers and at the same time favours the cultivation of deciduous trees, including oaks. In fact, in Poland, for example, many more oaks are now being planted as forest-forming tree species than in the 1980s and 1990s. However, the monitoring of the health status of European forests (according to the International Co-operation Project) does not confirm these optimistic assumptions, and oak has been cited as one of the most damaged tree species in terms of defoliation in recent decades. The prospects for oak cultivation in European forestry are therefore a combination of abiotic conditions and biotic damage factors. This review article focuses in particular on the new threats posed by pathogenic organisms causing emerging diseases. These include newly identified bacteria responsible for the so-called Acute Oak Decline (AOD), oomycetes (especially those specialised in damaging fine roots, such as Phytophthora quercina T.Jung) and semi-parasites of the genus Loranthus. At the same time, the pressure from commonly observed insects and fungi described in connection with the complex syndrome of oak decline, which is divided into predisposing, inciting, and contributing factors (according to Manion’s disease spiral), has not abated. Therefore, international, interdisciplinary research (such as that proposed in Oakland) is needed, using modern technologies (RS remote sensing) based on the comparison of satellite images (from different years), not only to inventory the most valuable oak stands in Europe (microrefugia) but also to identify trends in changes in their condition and biodiversity. As RS has its limitations (e.g., resolution), aerial monitoring should be complemented by quantitative and qualitative inventory from the ground, e.g., monitoring of the presence of soil microorganisms using effective molecular biological methods (e.g., Next-Generation Sequencing NGS).

Spatial immune heterogeneity in a mouse tumor model after immunotherapy.

Cancer immunotherapy is increasingly used in clinical practice, but its success rate is reduced by tumor escape from the immune system. This may be due to the genetic instability of tumor cells, which allows them to adapt to the immune response and leads to intratumoral immune heterogeneity. The study investigated spatial immune heterogeneity in the tumor microenvironment and its possible drivers in a mouse model of tumors induced by human papillomaviruses (HPV) following immunotherapy. Gene expression was determined by RNA sequencing and mutations by whole exome sequencing. A comparison of different tumor areas revealed heterogeneity in immune cell infiltration, gene expression, and mutation composition. While the mean numbers of mutations with every impact on gene expression or protein function were comparable in treated and control tumors, mutations with high or moderate impact were increased after immunotherapy. The genes mutated in treated tumors were significantly enriched in genes associated with ECM metabolism, degradation, and interactions, HPV infection and carcinogenesis, and immune processes such as antigen processing and presentation, Toll-like receptor signaling, and cytokine production. Gene expression analysis of DNA damage and repair factors revealed that immunotherapy upregulated Apobec1 and Apobec3 genes and downregulated genes related to homologous recombination and translesion synthesis. In conclusion, this study describes the intratumoral immune heterogeneity, that could lead to tumor immune escape, and suggests the potential mechanisms involved.

Unveiling wind-thrown trees: Detection and quantification of wind-thrown tree stems on UAV-orthomosaics based on UNet and a heuristic stem reconstruction

Severe storm events cause significant biomass losses in European forests. In addition to direct storm damage, biotic, abiotic, and market-related factors contribute to further damage with far-reaching effects on forest and nature conservation. These subsequent damages can be minimized if the amount of damaged timber and its spatial distribution are known and can be used to plan salvage operations. Traditional methods and satellite-based remote sensing can only delineate affected areas and estimate the amount of damaged timber. Aerial remote sensing can determine the spatial distribution of tree trunks with a detection rate of up to 92%, but it cannot quantify the volume of individual trunks. Newer UAV approaches are promising, but a methodology for quantifying fallen trees has not yet been published. This work addresses this gap by using UAVs orthomosaics and a hybrid heuristic and deep learning approach to capture the spatial distribution of tree trunks and estimate their volume while even reconstructing occluded stem parts. For the training of the deep learning model, high-resolution orthomosaics were used, in which 760 trunks were manually outlined and labeled. The method achieved an average stem detection rate DR25 of 92.6%. while an average classification error rate (CE) of 1.6% and a reconstruction error rate of 0.2% were reported. In the consecutive quantification of the stem volume, a relative bias rbias of −4.35% was reported for 560 reference stems at 15 investigation sites, whereas the result differ between the site (rbias= [−22.44%, 9.06%]) due weather conditions during the flight, stand parameters and the wind-throw pattern itself. The proposed method provides additional information for the management of wind-throw areas and the monitoring of biomass and carbon cycles, supports the understanding of wind-throw dynamics, and promotes the development of sustainable management strategies.

Potential blood pressure regulatory effect of low molecular weight α-chymotrypsin extract and its peptides from Stichopus japonicus: Peptide-ACE interaction study via in silico molecular docking

Hypertension is a significant risk factor for cardiovascular disease and heart damage. Stichopus japonicus (S. japonicus) is a red sea cucumber with antioxidant and anti-hypertensive activities. However, its anti-hypertensive mechanism remains unclear. In this study, we evaluated the inhibitory effects of angiotensin-converting enzyme (ACE) of α-chymotrypsin-assisted hydrolysate of S. japonicus (α-chy) and its ultrafiltrate fractions (>10 kDa [α-chy-I], 5–10 kDa [α-chy-II], and <5 kDa [α-chy-III]). Low molecular α-chy-III exerted excellent ACE inhibitory and anti-hypertensive activities in spontaneously hypertensive rats (SHR). Moreover, α-chy-III significantly reduced the systolic and diastolic blood pressure by modulating the serum angiotensin and ACE levels. Histological analysis revealed that α-chy-III markedly protected the aorta, heart, and kidney tissues of SHR from hypertension-induced tissue damage.Taken together, our findings highlight the potential of α-chy-III as a functional food ingredient for the treatment of hypertension and its comorbidities.

Targeting gut microbiota and metabolism profiles with coated sodium butyrate to ameliorate high-energy and low-protein diet-induced intestinal barrier dysfunction in laying hens

High energy diet are a risk factor for intestinal barrier damage. Butyrate, a major energy source for intestinal epithelial cells, has been shown to improve barrier dysfunction and modulate the gut microbiota. In this trial, we examined the preventative effect of coated sodium butyrate (CSB) on high-energy low-protein (HELP)-induced intestinal barrier injury in laying hens, and also worked to determine the underlying mechanisms by an integrative analysis of gut microbiota and the metabolome. A total of 216 healthy 28-weeks-old Huafeng laying hens were randomly assigned to 3 groups with 6 replicates each: the CON group (normal diet), HELP group (high-energy and low-protein diet) and CH500 group (500 mg/kg CSB added to HELP diet). The duration of the trial encompassed a period of 10 weeks. The results revealed that CSB treatment improved the laying rate (P<0.05) and mitigated the detrimental effects on intestinal barrier function and the inflammatory response induced by the HELP diet in laying hens (P<0.05). Microbial profiling analysis revealed that the CSB treatment reshaped the HELP-perturbed gut microbiota, and promoted the growth of beneficial bacteria (P<0.05). Untargeted metabolomics analysis revealed that CSB reduced the metabolites associated with intestinal inflammation (P<0.05). In conclusion, CSB did not merely modulate alterations in the gut microbiota composition and microbial metabolites but also yielded increased egg production, while mitigating intestinal barrier dysfunction and inflammatory responses induced by HELP in laying hens.

Pink1/Parkin signaling mediates pineal mitochondrial autophagy dysfunction and its biological role in a comorbid rat model of depression and insomnia

Using a chronic unpredictable mild stress (CUMS) combined with multi-platform water environment sleep deprivation (SD) as an animal model, the occurrence and development of human depression combined with insomnia were simulated. The abnormal mitochondrial autophagy signaling caused by the putative kinase 1/Parkin E3 ubiquitin protein ligase (Pink1/Parkin) signaling pathway directly affects the normal secretion of melatonin by the pineal gland, which may explain the pathogenesis of depression combined with insomnia. This study aims to explore the depression-like behavior, sleep changes, central oxidative stress response, pineal mitochondrial autophagy damage, melatonin secretion, histopathological changes of the pineal gland, and the expression of Pink1/Parkin signaling-related factors in CUMS+SD rats. The results showed that the levels of reactive oxygen species (ROS) in cerebrospinal fluid of CUMS+SD rats significantly increased along with the inflammatory factors Interleukin-1β (IL-1β) and nuclear factor kappa-B (NF-κB) in cerebrospinal fluid. In addition, the number of pineal gland cells significantly decreased, cell boundaries became blurred, cell volume shrank, and apoptotic bodies appeared in the pineal gland tissue under HE staining, indicating pineal gland inflammation. Sleep deprivation further disrupted the levels of autophagy damage factors, including histamine (MDA), glutathione (GSH), and catalase (CAT), in the cerebrospinal fluid of CUMS + SD rats. Transmission electron microscopy of the pineal gland in CUMS+SD rats revealed damage to mitochondrial autophagy. The levels of 5-hydroxytryptamine (5-HT) and aromatic amine-N-acetyltransferase (AANAT) in the cerebrospinal fluid, as well as melatonin levels in the pineal gland, were significantly decreased. Additionally, the expression of IL-1β, NF-κB, Pink1, and Parkin in the pineal gland of CUMS+SD rats significantly increased. The expression of microtubule-associated protein 1 light chain 3-β (LC3), selective autophagy adaptor protein (P62), cytochrome c oxidase IV (COXIV), and mitochondrial outer membrane translocation enzyme 20 (TOM20) proteins downstream of the Pink1/Parkin signaling pathway was enhanced, while the expression of downstream brain-derived neurotrophic factor (BDNF), Beclin 1, and BCL2 interacting protein 3 (BNIP3) proteins was negatively regulated. Pink1/Parkin signaling may specifically respond to mitochondrial autophagy damage in the pineal gland, affecting the normal synthesis and secretion of melatonin in the pineal gland. In summary, mitochondrial autophagy damage in the pineal gland affects the normal secretion of melatonin in CUMS+SD rats, which is closely related to the specific autophagy signaling impairment of Pink1/Parkin pathway, which may mediate the occurrence of depression combined with insomnia.

Damage model of NC-UHPC interface zone in UHPC wet joint based on DIC

The bond interface of the ultra-high performance concrete (UHPC) wet joint composed of normal concrete (NC) and UHPC is a weak part, which can easily damage the interface zone and affects the structure's safety. However, the damage model of the NC-UHPC interface zone in UHPC wet joint has not been carried out yet. In this study, firstly, the effects of different interfacial moisture content and interfacial roughness on the interfacial bond strengths were investigated by splitting tensile tests, NC-UHPC specimens with different interfacial bond strength were obtained, and digital image correlation (DIC) technique was used to obtain the strain evolution regulation of the NC-UHPC interface zone; Secondly, the extended interface zone damage factor Df was used to investigate the damage differences of NC-UHPC interface zone with different bond strengths; Finally, the damage model of NC-UHPC interface zone with different interfacial bond strengths was established. This research will be of great significance in improving the theoretical system of UHPC wet joint structure design.

DNA Damage, Transposable Element Expression and Their Associated Factors in Aging

Aging is a spontaneous and permanent physiological process that leads to declines in tissue and cell functions, along with an increased risk of developing various age-related diseases. The primary driving force associated with aging is the accumulation of damaged genetic material in the cell, such as DNA. DNA damage can be caused by endogenous and exogenous factors, which leads to genome instability, mitochondrial dysfunction, epigenetic modifications, and proteostatic disturb. Another driving force associated with aging is the disruption of cellular metabolism. This disruption is closely linked to alterations in the role of metabolic pathways, including insulin/IGF-1 and mTOR, which regulate crucial cellular processes like cell growth, cell proliferation, and apoptosis. The activation of the insulin/IGF-1 signaling pathway highly promotes cell growth and proliferation, while also inhibits autophagy and increasing ROS production. This ultimately leads to accelerated aging. Another crucial signaling pathway is the mTOR signaling pathway. It is responsible for detecting nutrient availability and controlling cell growth and metabolism. The dysregulation of mTOR function can lead to the development of neurodegenerative diseases, which are characterized by the aggregation of protein. Activation of transposable elements is the other driving force of aging, caused by changes in DNA methylation and the loss of heterochromatin. As a result, this leads to DNA damage, genomic instability, and inflammation. The aim of this review is to elucidate the consequence of DNA damage and other associated factors drive aging.

Dynamic in-situ CT imaging to study meso-structure evolution and fracture mechanism of shale during thermal-mechanical coupling condition

Temperature has a significant impact on the occurrence characteristics and flow properties of oil and gas in shale reservoirs at in-situ conditions. Under thermal–mechanical coupling conditions, the macroscopic deformation instability characteristics and the evolution of the internal microstructure of shale are of great importance for the exploitation of shale oil and gas. However, most studies on the macroscopic and microscopic characteristics of shale only analyze the deformation and instability mechanisms of shale from observations of the post-failure microscopic structures. This paper employs a self-developed THM-CT coupling test system to study the macroscopic deformation characteristics of shale under triaxial compression at real-time temperatures, and simultaneously uses in-situ CT imaging technology to characterize the internal microstructure of shale under different stress levels. Real-time CT porosity obtained via in-situ CT imaging technology represents the mesoscopic structural parameters, together with macroscopic deformation characteristics, delineate the four stages of the entire deformation process in shale: initial compression, linear elastic deformation, yielding deformation, and post-failure. The deformation after peak-stress (σf) in shale is 1–3 times that before peak-stress (σf). The dissolution and softening of clay minerals within the internal micro-lamination of shale, along with the weakening of the internal structure, result in a decline in mechanical parameters such as stress strength (σf) and elastic modulus (E) with increasing temperature. The reconstruction of three-dimensional μCT digital volumes further reconstructs the internal fracture spatial structure under different stress levels during the deformation process, precisely characterizing the dynamic evolution of internal fracture nucleation, expansion, and coalescence during the whole test process. The failure characteristics of shales display notable heterogeneity and anisotropy. Internally, fractures experience a sequence of initiation, formation of vertical and oblique main fractures along the axial direction, and crossing connections between fractures. During test process, multiple occurrences of horizontal secondary micro-fractures extend along weakly cemented lamination, playing a connecting role between the main fractures. Importantly, a real-time quantitative relationship between the macroscopic and microscopic mechanics of rock has been established by linking the mesoscopic damage factor with the applied stress. It was found that the damage factor increases according to a power-law relationship with stress in the yield deformation phase. The variation in the mesoscopic damage factor serves as an intuitive index reflecting the systematic failure of rock, providing an early warning for the impending failure of shale.

Analysis of Damage Factors of Reinforced Concrete Frame Under Internal Explosion

To explore the mechanisms of the damage to reinforced concrete (RC) frame structures subjected to internal explosions, this paper establishes a precise finite element model (FEM) of an RC frame utilizing ANSYS/LS-DYNA software 14.5. The influence of four important damage factors on the degree of structural damage is systematically analyzed. Specifically, the vertical displacement at the top center of the frame serves as the primary evaluation metric, while the four damage factors are treated as independent variables. An empty column is incorporated as an error term, facilitating a five-factor, four-level orthogonal optimization design for the simulation experiments. Based on this design, a variance analysis of the simulation outcomes is conducted. The results show that by increasing the reinforcement ratio of the beam section and reducing the charge weight, when the explosion point is located at the higher part of the building floor and near the external window, the vertical displacement of the building after the internal explosion can be reduced. The order of the influence degree of each damage factor on the damage to the reinforced concrete frame structure is as follows: explosion floor, charge weight, beam section reinforcement ratio, and explosion horizontal position.

Damage Evolution and NOx Photocatalytic Degradation Performance of Nano-TiO2 Concrete Under Freeze–Thaw Cycles

The internal pore structure of nano-TiO2 concrete deteriorates gradually during freeze–thaw (F–T) cycles. The deterioration process can reveal the F–T damage mechanism and the deterioration law of photocatalytic performance. The evolution law of the pore structure of nano-TiO2 concrete during F–T damage was investigated. Moreover, this paper defined the microscopic F–T damage factor based on porosity and fractal dimension. The results showed that a 2% dosage of nano–TiO2 concrete had better frost resistance and lower porosity in this experiment. Its porosity only increased by 13.3% after 200 F–T cycles, which was much smaller than that of ordinary concrete. Furthermore, the presence of nano-TiO2 enhanced the volume fractal dimension of concrete pores larger than 100 nm, increasing the complexity of the pore structure and contributing to improved frost resistance. F–T damage led to a decrease in the photocatalytic performance of nano–TiO2 concrete. Still, it helped the nitrate on the surface of the concrete to dissolve and disappear more quickly under rainwater washout. Finally, a thermodynamic theory-based concrete F–T damage correction model was constructed, and the model was used to predict F–T damage values for some scholars. The results showed that the correlation between the model values and the experimental values was more than 0.95, which could accurately reflect the degree of F–T damage of concrete. In addition, a prediction model of photocatalytic NO reduction by nano-TiO2 concrete based on microscopic damage factor was established. It provides a theoretical basis for the application of nano-TiO2 concrete in the field of gas pollutant treatment.

IL-6 Exacerbates Oxidative Damage of RPE Cells by Indirectly Destabilizing the mRNA of DNA Repair Genes.

Chronic inflammation has been associated with the progression of age-related macular degeneration (AMD) and diabetic retinopathy (DR), and the levels of various inflammatory factors are significantly increased in intraocular fluids of patients with AMD and DR. Therefore, elucidating the roles of inflammatory factors in the oxidative damage of RPE cells will help uncover the pathogenesis of AMD and DR. We have previously demonstrated that E2F1 plays an important role in the antioxidant capacity of RPE cells. Here, our transcriptome analysis shows that E2F1 affected the expressions of DNA repair genes in RPE cells. In addition, we found that E2F1 transactivated the splicing factor SRSF1. SRSF1 knockdown promoted DNA oxidative damage and apoptosis and decreased the mRNA stability of DNA repair genes XRCC2, POLK and LIG4 in RPE cells. Moreover, we found that SRSF1 could bind to the RNA stabilizing factor MATR3, and knockdown of the latter affected the mRNA stability of these DNA repair genes. Notably, interleukin-6 (IL-6), an inflammatory factor upregulated in intraocular fluids of patients with AMD and DR, decreased SRSF1 expression by inducing acetylation of E2F1 at the K125 position. Consistently, SRSF1 overexpression relieved IL-6-induced DNA oxidative damage and apoptosis in RPE cells. In vivo experiment results also confirmed that IL-6 could aggravate retinal oxidative damage. In conclusion, high levels of IL-6 in the eyes of patients with AMD and DR destabilize the mRNAs of DNA repair genes by disrupting the expression of SRSF1, leading to abnormal repair of DNA oxidative damage in RPE cells.

Effects of Fines Migration and Reservoir Heterogeneity on Well Productivity: Analytical Model and Field Cases

Abstract Formation damage due to fines migration after water breakthrough during oil and gas production results in significant well productivity decline. A recent study derived an analytical model for fines migration during commingled water–oil production in homogeneous reservoirs. Yet, reservoir heterogeneity highly affects formation damage and well productivity. This article develops an analytical model for layer-cake reservoirs. We develop a novel methodology for characterizing productivity decline by considering the impedance as a function of water-cut, two quantities that are commonly measured throughout the production life of the well. The methodology is based on a new analytical model for inflow performance in layer-cake reservoirs under fines migration. The new model integrates pseudo-phase-permeability functions for commingled water–oil production with equations for fines release and induced permeability damage. The analytical model reveals linear well impedance growth versus water-cut increase, where the slope is determined by a modified form of the mobility ratio which includes the extent of formation damage. This linear form is shown to arise when the formation damage factor is constant, regardless of the distribution of reservoir permeabilities. The model is validated by comparison with production histories of five wells from three fields, which exhibit good agreement with the linear trend predicted by the new model. The explicit formulae allows for the prediction of productivity at abandonment, determining the optimal well stimulation time, as well as reconstructing skin values during the early stages of production to better estimate the influences of other formation damage factors, like those induced during drilling and completion.

Effect of monoclonal gammopathy in the progression of acute kidney injury and chronic kidney disease: a retrospective observational study.

The involvement of monoclonal immunoglobulin (MIg) in renal damage in patients with haematological disorders and renal biopsy-proven monoclonal gammopathy of renal significance is well established. However, no epidemiological studies have been conducted on the effects of MIg on renal function in other patients. We aimed to evaluate the renal prognosis of MIg-positive patients and the effects of MIg on renal function. This retrospective observational study was performed using clinical data from all outpatients and inpatients who underwent MIg measurements at the time of enrolment at Kochi Medical School Hospital between 1 January 2017 and 31 December 2021. The primary outcomes were the occurrence of acute kidney injury (AKI) and a decline of > 30% in the estimated glomerular filtration rate (eGFR). Among the 1362 patients, 750 were included in our cohort. The number of MIg-positive and MIg-negative patients was 119 (15.9%) and 631 (84.1%), respectively. In addition, the MIg-positive patients were significantly older than the MIg-negative patients. The survival probability of the MIg-positive group was significantly lower than that of the MIg-negative group during the 2year observation period. The risk factors for the primary endpoint were positive MIg, female sex, lower eGFR, and lower albumin level. Our study showed that the presence of MIg was an independent risk factor for renal damage. Therefore, we suggest that MIg-positive patients require careful follow-up of their renal function, even in the absence of a clear underlying disease, such as multiple myeloma.

Effects of overloading commercial vehicles on vehicle damage factor for the National Highways in Bihar

Abstract Overloaded vehicles and traffic growth have a significant impact on the pavement’s performance and service life. As a result, pavement construction and rehabilitation costs have drastically increased. The paper presents the results of the research, including analysis of axle-wise commercial vehicles with 24 h axle-load survey data over a one-year period. The information was collected from two sections of National Highway Road using a weigh-in-motion machine. The fourth power rule is used to calculate the VDF value of over-loaded, legal-loaded, and actual-loaded vehicles by converting the all-vehicle load into a standard axle load. This paper presents the axle-wise impacts of overloaded vehicles on the calculated VDF value. The analysis has shown that when only over-loaded traffic is considered, the class-2 VDF value is higher than the other classes of vehicles, and the class-5 VDF value is higher when all types of collected traffic—legal-loaded and over-loaded traffic are considered. The study concluded that 20% overloaded weight of vehicles increases the VDF value by about 3–4 times. The study reveals that the actual loaded VDF value should be considered during the design of new pavement instead of the VDF value of over-loaded and legal-loaded vehicles. This result may assist the pavement designer in calculating the thickness of the pavement layer and the construction cost of the pavement.

Periodontitis associated with brain function impairment in middle-aged and elderly individuals with normal cognition.

The present study aimed to investigate changes in intranetwork functional connectivity (FC) and internetwork FC in middle-aged and elderly individuals with normal cognition (NC) and varying degrees of periodontitis to determine the effects of periodontitis on brain function. Periodontal findings and resting-state functional magnetic resonance imaging data were acquired from 51 subjects with NC. Independent component analysis and correlation analysis were used for the statistical analysis of the data. Differences in intranetwork FC were observed among groups in the anterior default-mode network (aDMN), dorsal attention network and dorsal sensorimotor network (dSMN). Compared with the nonperiodontitis (NP) group or the mild-periodontitis group, the analysis of internetwork FC showed increased FC between the auditory network and the ventral attention network (VAN), between the aDMN and the salience network (SN), and between the SN and the VAN and decreased FC between the posterior default-mode network and the right frontoparietal network in the moderate-to-severe periodontitis group. Additionally, internetwork FC between the dSMN and the VAN was also increased in the moderate-to-severe periodontitis group compared to the NP group. The altered intra- and internetwork FC were significantly correlated with the periodontal clinical index. Our results confirmed that periodontitis was associated with both intra- and internetwork FC changes even in NC. The present study indicates that periodontitis might be a potential risk factor for brain damage and provides a theoretical clue and a new treatment target for the early prevention of Alzheimer disease. Recent research has proposed that periodontitis is a potential risk factor for Alzheimer disease (AD). However, the relationship between periodontitis and the brain function of middle-aged and elderly individuals with normal cognition (NC) remains unclear. Analyzing the effect of periodontitis on brain function in the NC stage can provide clues to AD development and help achieve early prevention of dementia. The present study aimed to investigate changes in brain functional connectivity (FC) in NC with different severity of periodontitis to determine the effects of periodontitis on brain function. Both changed intranetwork FC and internetwork FC were found in the moderate-to-severe periodontitis group, and periodontitis was associated with brain network function impairment in NC. The present study indicates that periodontitis might be a potential risk factor for brain damage even in NC stage, and provides a theoretical clue and a new treatment target for the early prevention of AD.

Effect of nano‐silica on the mechanical performance and porosity evolution of concrete under freezing and thawing cycles

AbstractThe enhancement of freeze–thaw resistance in concrete is crucial for improving the durability and longevity of infrastructure in cold regions. Although the benefits of nano‐silica (NS) on concrete's freeze–thaw resistance have been demonstrated, there is still controversy surrounding the optimal concentration of admixture and underlying mechanisms. In this study, the mechanical performance (mass weight, elastic modulus, compressive and splitting strength) and porosity evolution (total porosity, porosity distribution and micro‐surface morphologies) of control concrete and concrete modified with five different NS admixture concentration (1%–5%) were tested under freezing and thawing (F–T) cycles, and damage models were established to assess the correlations between macroscopic and microscopic damages. The results indicate that F–T cycles lead to both damage in mechanic properties and porosity in concrete specimens. The effects of NS particles on macroscopic and microscopic damage under F–T conditions depend on their admixture concentration. A 2% concentration mitigates while a 5% dosage promotes both macroscopic and microscopic damages during F–T cycles. These differences can primarily be attributed to different dispersion status of NS particles in concrete, leading to variations in porosity evolution during F–T cycles. The macroscopic damage exhibit stronger correlation with microscopic damage factor modified by proportion of large pores compared to that only based on total porosity, suggest that the microscopic damage, especially large pores' proportion, contribute to macroscopic damage of concrete specimens under F–T cycles. These findings provide valuable references for field concrete engineering applications in cold areas.

Development and Validation of a New Nomogram for Predicting Early Neurological Deterioration in Young and Middle-Aged Individuals With Stroke in the Neurocritical Care Unit.

To analyse risk factors for early neurological damage in young and middle-aged stroke cases. Totally 405 young and middle-aged stroke patients in the neurocritical care unit (NCU) were selected and divided into the developmental (260 patients) and validation (145 patients) sets. The 405 cases were also grouped based on whether early neurological deterioration (END) occurred. The influencing factors of END were analysed by logistic regression, followed by the construction of a nomogram for predicting the risk of END. The Bootstrap method was applied to internally verify the predictive value of the model, using validation set data. Age, type of stroke, diabetes, mechanical ventilation, pulse, initial National Institute of Health stroke scale (NIHSS), Barthel index (BI), haemoglobin, hypersensitive C-reactive protein (hs-CRP), triglyceride glucose (TyG) index and CONUT showed statistically significant differences (p < 0.05). Logistic regression analysis revealed type of stroke, initial NIHSS, CONUT, TyG index and hs-CRP were risk factors for END in young and middle-aged stroke cases (OR > 1, p < 0.05). The area under the curve (AUC) for the developmental set was 0.842, and internal validation results showed a C-index of 0.843; the AUC for the validation set was 0.843. The nomogram constructed in this study has good predictive efficacy and can provide reference for early clinical prediction of END in young and middle-aged stroke cases. The importance of this research lies in shedding light on the significant impact of early neurological deterioration on the health outcomes of young and middle-aged stroke patients, particularly in the short term. To guide clinical workers to identify risk factors early and improve the prognosis of stroke patients.