Search

Recently two of the authors of the present paper proposed a model for fracture mechanics based prediction of the S-N characteristics of metallic components with large microstructural defects and supported this by a validation excercise on an aluminium alloy AL5380 H321. Within this presentation the authors extend the study using a number of data sets from the literature. Despite of necessary assumptions for the compensation of partially missing input information the results are fairly reasonable, with the exception of high loading levels where the analyses of two of the data sets yield non-conservative results. The authors propose multiple crack initiation as the potential root of the problem and discuss methods for extending the model for taking into account crack initiation.

Rotor disks for gas turbines are heavy components and are usually designed following a safe-life approach, where the low-cycle fatigue analysis is carried out referring to design life curves with suitable probabilistic margins. However, in the case of such a heavy component there is the possibility of rare occurrence of undetected defects or, better, the need to identify the defect acceptability for the different rotor regions (considering stress, temperature, mission profile). In order to carry out such calculations for a turbine rotor disk a software named {AStrID} (Assessment of the Structural Integrity of Disks) has been developed in close cooperation between Politecnico di Milano and Ansaldo Energia (AEN). This paper summarizes its background and some of the relevant features.

Oral health indicators may contribute to the oral frailty phenotype, an age-related gradual loss of oral function together with a decline in cognitive and physical functions. The present systematic review synthetized current knowledge on the associations of oral frailty indicators and major cardio- and cerebrovascular diseases in older age, including coronary heart disease (CHD), arteriosclerosis, arrhythmias, hypertension, cardiovascular diseases not otherwise specified (NOS), and stroke. The study is registered on PROSPERO-(CRD42023397932). From database inception to March 31, 2024, six different electronic databases were consulted assessing the eligibility of 50,005 records against the inclusion criteria and 20 studies on 226,025 older adults were included. Five different indicators of oral frailty (number of teeth, periodontal disease, general oral health, dry mouth, and bite force) were related to cardio- and cerebrovascular diseases. The number of teeth was associated with all the outcomes except hypertension, followed by periodontal disease associated with CHD, arteriosclerosis, hypertension, and stroke. General oral health and dry mouth were associated with CHD/arrhythmias and CHD/stroke, respectively. Finally, bite force was associated only with cardiovascular diseases NOS. The present findings could help to assess the contribution of each oral frailty indicator to the development of cardio- and cerebrovascular diseases in older age., Competing Interests: Competing Interests The authors declare no conflicts of interest., (Copyright © 2024. Published by Elsevier B.V.)

Magnesium (Mg 2+ ), the second most abundant intracellular cation, plays a crucial role in cellular functions. In this study, we investigate the interaction between Mg 2+ and coenzyme A (CoA), a thiol-containing cofactor central to cellular metabolism also involved in protein modifications. Isothermal titration calorimetry revealed a 1:1 binding stoichiometry between Mg 2+ and free CoA under biologically relevant conditions. Association constants of (537 ± 20) M -1 and (312 ± 7) M -1 were determined at 25 °C and pH 7.2 and 7.8, respectively, suggesting that a significant fraction of CoA is likely bound to Mg 2+ both in the cytosol and in the mitochondrial matrix. Additionally, the process is entropically-driven, and our results support that the origin of the entropy gain is solvent-related. On the other hand, the combination of 1- and 2-dimensional nuclear magnetic resonance spectroscopy with molecular dynamics simulations and unsupervised learning demonstrate a direct coordination between Mg 2+ and the phosphate groups of the 4-phosphopantothenate unit and bound to position 5' of the adenosine ring. Interestingly, the phosphate in position 3' only indirectly contributes to Mg 2+ coordination. Finally, we discuss how the binding of Mg 2+ to CoA perturbates the chemical environment of different CoA atoms, regardless of their apparent proximity to the coordination site, through the modulation of the CoA conformational landscape. This insight holds implications for understanding the impact on both CoA and Mg 2+ functions in physiological and pathological processes., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Mediterranean diet may enhance cognitive function and delay the progression of Alzheimer's disease (AD). We conducted a systematic review to investigate the effect of oleocanthal (OC) from extra-virgin olive oil (EVOO) on amyloid-β (Aβ) burden in preclinical models of AD, considering the anti-inflammatory and neuroprotective effects of EVOO biophenols, which are key components of the Mediterranean dietary model., Methods: The literature was searched through six electronic databases until February 2023. Screening of 52 retrieved articles for inclusion criteria resulted in 7 preclinical reports evaluating the effect of an OC-supplemented diet on AD trajectories by means of Aβ load or clearance in affected models. Reports were appraised for risk of bias using the SYRCLE's RoB tool. A protocol was registered on PROSPERO., Results: Case control prevailed over the case-crossover design, and the geographical distribution was uniformly American. The study population mostly included 5xFAD, otherwise TgSwDI or wild-type C57BL/6 mouse models. We found a role of OC in reducing Aβ load in the hippocampal parenchyma and microvessels compared with controls. An increased cerebral clearance of Aβ through the bloodbrain barrier and a substantial improvement in metabolic and behavioral parameters were also reported in preclinical models under an OC-enriched diet. The risk of bias was shown to be moderate overall., Conclusion: Preclinical data are promising about the effects of OC from the Mediterranean diet's EVOO in relieving the burden of Aβ in AD; however, further evidence is needed to corroborate the efficacy of this biophenol and strengthen the speculated causal pathway., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Partial discharges (PD) are initiated in electrical equipment during various points of the equipment's lifecycle. The intensity of PD defects rises continuously with time, which can lead to insulation degradation and reduced operational life of the electrical equipment. The optimum feature selection of PD signals captured, from different insulation defects, can enhance the classification accuracy of PD defects and facilitate better visualization of PD parameters for electric motor (EM) insulation monitoring and diagnostics. This paper presents a hybrid approach, based on Maximize Relevancy and Minimize Redundancy (mRMR) and random forest (RF), for the optimum feature selection and classification of PD signals in EMs containing multiple defects. For this purpose, four PD defects are developed in the EMs insulation under laboratory conditions, and 800 PD signals are acquired using a conventional IEC-60,270 experimental platform. The severity of these defects is determined and investigated based on PD characteristic parameters. Several features of both PD sweep signals and conventional PD pulses are extracted. Consequently, the mRMR feature selection technique is implemented to select the significant features of the detected PD signals. To establish the plausibility of this technique, several other feature selection algorithms, including RefliefF, Gini Index (GI), and Information Gain (IG), are introduced for the same datasets. The performance of all these feature selection algorithms is validated using three commonly used classification techniques such as RF, support vector machines (SVM), and k-nearest neighbors (k-NN). In summary, the results show that the combination of mRMR and RF proves to be the most effective feature selection algorithm for the classification of insulation defects in EMs, achieving an accuracy of 99.875%. This accuracy is significantly better than other feature selection and classification techniques and indicates its potential for application to other power system components., (© 2024. The Author(s).)

A growing body of research suggested that there was a link between poor periodontal health and systemic diseases, particularly with the early development of cognitive disorders, dementia, and depression. This is especially true in cases of changes in diet, malnutrition, loss of muscular endurance, and abnormal systemic inflammatory response. Our study aimed to determine the extent of these associations to better target the multi-level healthy aging challenge investigating the impact of periodontal disease on cognitive disorders (cognitive impairment and cognitive decline), dementia, and depression. We conducted a comprehensive literature search up to November 2023 using six different electronic databases. Two independent researchers assessed the eligibility of 7363 records against the inclusion criteria and found only 46 records that met the requirements. The study is registered on PROSPERO (CRD42023485688). We generated random effects pooled estimates and 95% confidence intervals (CI) to evaluate whether periodontal disease increased the risk of the investigated outcomes. The quality assessment revealed moderate quality of evidence and risk of bias. Periodontal disease was found to be associated with both cognitive disorders (relative risk (RR) 1.25, 95% CI 1.11-1.40, in the analysis of cross-sectional studies); cognitive impairment (RR 3.01, 95% CI 1.52-5.95 for longitudinal studies, cognitive decline); and dementia (RR 1.22, 95% CI 1.10-1.36). However, no significant increased risk of depression among subjects with periodontal disease was found (RR 1.07, 95% CI 0.95-1.21). Despite the association with two of the three explored outcomes, the available evidence on periodontal diseases and dementia, cognitive disorders, and depression is controversial due to several limitations. Therefore, further investigations involving validated and standardized tools are required., (© 2024. The Author(s), under exclusive licence to American Aging Association.)

Background: Neurocognitive disorders (NCDs) have a variable decline in cognitive function, while loneliness was associated with cognitive impairment and increased dementia risk. In the present study, we examined the associations of loneliness with functional and cognitive status in patients with minor (mild cognitive impairment) and major NCDs (dementia)., Methods: We diagnosed mild NCD ( n = 42) and major NCD ( n = 164) through DSM-5 criteria on 206 participants aged > 65 years using the UCLA 3-Item Loneliness Scale (UCLA-3) to evaluate loneliness, the activities of daily living (ADL) and the instrumental activities of daily living (IADL) scales to measure functional status, and Mini-Mental State Examination (MMSE) to assess cognitive functions., Results: In a multivariate regression model, the effect of loneliness on cognitive functions was negative in major (β = -1.05, p < 0.0001) and minor NCD (β = -0.06, p < 0.01). In the fully adjusted multivariate regression model (sex-age-education-multimorbidity-depressive symptoms-antidementia drug treatment), the effect of loneliness remained negative for major NCD and became positive for minor NCD (β = 0.09, p < 0.001). The effect of loneliness on IADL (β = -0.26, p < 0.0001) and ADL (β = -0.24, p < 0.001) showed a negative effect for major NCD across the different models, while for minor NCD, the effect was positive (IADL: β = 0.26, p < 0.0001; ADL: β = 0.05, p = 0.01). Minor NCD displayed different levels of MMSE (β = 6.68, p < 0.001) but not ADL or IADL, compared to major NCD for the same levels of loneliness. MANOVA pill test suggested a statistically significant and different interactive effect of loneliness on functional and cognitive variables between minor and major NCDs., Conclusions: We confirmed the relationships between loneliness and cognitive and functional status in major NCD, observing a novel trend in minor NCD.

As we age, maintaining good oral health becomes increasingly crucial for performing daily tasks. Age-related physiological decline can disrupt various biological systems, causing a significant challenge for geriatric dentistry. A systematic review of the literature using six different electronic databases was conducted to investigate the relationship between oral health indicators and bone mineral density disorders in older adults. The study is registered as a priori protocol on PROSPERO (CRD42023403340). A minimum age of 60 years was the main inclusion criterion for all original research articles. Two independent researchers assessed the eligibility of 19,362 records against the inclusion criteria and found 12 articles fitting the eligibility requirements. Five different indicators of poor oral health [number of teeth, periodontal disease, general oral health (dental caries prevalence and dental treatment needs), masticatory function, and occlusal force)] were found related to three outcomes linked to bone mineral density disorders (osteoporosis, fractures, and decreased bone mineral density), regardless of the adopted assessment tools. The number of teeth was negatively associated with fractures and a decreased bone mineral density, while periodontal disease was positively associated with osteoporosis and a decreased bone mineral density. Masticatory function was associated only with osteoporosis, while general oral health was associated only with fractures and occlusal force only with bone mineral density. The oral health indicator most frequently associated with outcomes linked to bone mineral density disorders was the number of teeth. The present findings could help to assess the contribution of each oral health indicator to the development of bone mineral density disorders in older age., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Polyphenols are secondary metabolites found in plants, foods, and drinks, occurring in small quantities and showcasing antioxidant and anti-inflammatory qualities. The primary polyphenols consist of flavonoids, phenolic acids, stilbenes, and lignans. However, there is currently no comprehensive quantitative analysis of epidemiological data on overall death rates. This systematic review with meta-analysis aims to identify the exposure-response relationship between dietary polyphenol intake and all-cause mortality. The literature was reviewed from its earliest study to May 2024, utilizing six distinct electronic databases. No specific criteria were used to choose participants based on the recruiting environment, their general health condition, country, or ethnicity. The inclusion criteria for studies were as follows: a longitudinal design, exposure to dietary polyphenols, all-cause mortality as the outcome, and hazard risk (HR) as the impact measure. The Newcastle-Ottawa Scale was used to evaluate the methodological rigor of the study. The hazard risks (HRs) and 95% confidence intervals (CIs) were estimated by pooling data using common effects models. A protocol has been registered on PROSPERO with the identification number CRD42024545524. The meta-analysis comprised seven cohort studies that involved 178,657 adult people aged 18 years and older. These studies examined the relationship between total dietary polyphenol consumption and the risk of all-cause death. The recruitment settings exclusively used community-based approaches, with a preference for Europe (71%) in terms of geographic distribution. The study's quality was assessed to be moderate to high. The meta-analysis showed consistent evidence that increased dietary exposure to polyphenols reduces the risk of all-cause mortality by 7% (HR 0.93, 95% CI 0.91-0.95, I 2 : 48%). Pooled data from the available evidence consistently show that individuals exposed to an antioxidant diet rich in polyphenol sources may be at lower risk of all-cause mortality.

Introduction: In the last decade, the efforts conducted for discovering Alzheimer's Disease (AD) treatments targeting the best-known pathogenic factors [amyloid-β (Aβ), tau protein, and neuroinflammation] were mostly unsuccessful. Given that a systemic failure of Aβ clearance was supposed to primarily contribute to AD development and progression, disease-modifying therapies with anti-Aβ monoclonal antibodies (e.g. solanezumab, bapineuzumab, gantenerumab, aducanumab, lecanemab and donanemab) are ongoing in randomized clinical trials (RCTs) with contrasting results., Areas Covered: The present Drug Discovery Case History analyzes the failures of RCTs of solanezumab on AD. Furthermore, the authors review the pharmacokinetics, pharmacodynamics, and tolerability effect of solanezumab from preclinical studies with its analogous m266 in mice. Finally, they describe the RCTs with cognitive, cerebrospinal fluid and neuroimaging findings in mild-to-moderate AD (EXPEDITION studies) and in secondary prevention studies (A4 and DIAN-TU)., Expert Opinion: Solanezumab was one of the first anti-Aβ monoclonal antibodies to be tested in preclinical and clinical AD showing to reduce brain Aβ level by acting on soluble monomeric form of Aβ peptide without significant results on deposits. Unfortunately, this compound showed to accelerate cognitive decline in both asymptomatic and symptomatic trial participants, and this failure of solanezumab further questioned the Aβ cascade hypothesis of AD.