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Factors associated with trunk skeletal muscle thickness and echo intensity in young Japanese men and women
The present study examined factors associated with trunk skeletal muscle thickness (MT, an index for the amount of skeletal muscle) and echo intensity (EI, an index for the content of non-contractile tissue, such as intramuscular adipose tissue) in young Japanese men and women in consideration of habitual dietary intake. Healthy men (n = 26) and women (n = 24) aged 20 to 26 were enrolled. Trunk MT and EI were evaluated using ultrasound imaging at the height of the 3rd lumbar vertebra. In addition to morphological variables, brachial-ankle pulse wave velocity (baPWV) and blood properties (e.g., triglycerides, total cholesterol, and fasting blood glucose) were measured. Habitual dietary intake was also evaluated by a self-administered diet history questionnaire. The results obtained for young men revealed significant correlations between trunk MT/body mass1/3 and the percentages of energy from polyunsaturated fatty acids (rs = 0.476, p <0.05) and carbohydrates (rs = -0.402, p <0.05). Trunk EI significantly and positively correlated with the percentage of energy from saturated fatty acids (rs = 0.397, p <0.05). In young women, trunk EI showed a significant and positive correlation with baPWV (rs = 0.504, p <0.05). These results suggest that the effects of habitual dietary intake on trunk skeletal muscle differ between young men and women.
Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution
A computational and structural approach to identify malignant non-synonymous FOXM1 single nucleotide polymorphisms in triple-negative breast cancer
AbstractThe proliferation-specific oncogenic transcription factor, FOXM1 is overexpressed in primary and recurrent breast tumors across all breast cancer (BC) subtypes. Intriguingly, FOXM1 overexpression was found to be highest in Triple-negative breast cancer (TNBC), the most aggressive BC with the worst prognosis. However, FOXM1-mediated TNBC pathogenesis is not completely elucidated. Single nucleotide polymorphisms (SNPs) are the most common genetic variations causing functional and structural aberrations in proteins enhancing cancer susceptibility. This computational investigation attempted to identify the malignant FOXM1 non-synonymous SNPs (nsSNPs) and evaluate their role in affecting the conformational and functional stability, evolutionary conservation, post-translational modifications, and malignant susceptibility of the protein. Out of a huge data pool of 8826 FOXM1 SNPs using several in-silico sequence-based tools and structural approaches, four SNPs viz. E235Q, R256C, G429E and S756P were identified as pathogenic nsSNPs and among the shortlisted variants molecular dynamics simulations identified E235Q as the most damaging malignant SNP, followed by S756P. Additionally, the defective drug and DNA binding motif of E235Q and S756P were also determined in our study. Thus, although further in-vitro validations are awaited the findings of this in-silico work can be used as a blueprint for malignant nsSNP identification of FOXM1 aiding in clinical TNBC therapeutics.
Synthesis of Schiff bases based on Chitosan, thermal stability and evaluation of antimicrobial and antitumor activities
Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program
AbstractTo improve the inadequate reliability of the grid that has led to a worsening energy crisis and environmental issues, comprehensive research on new clean renewable energy and efficient, cost-effective, and eco-friendly energy management technologies is essential. This requires the creation of advanced energy management systems to enhance system reliability and optimize efficiency. Demand-side energy management systems are a superior solution for multiple reasons. Firstly, they empower consumers to actively oversee and regulate their energy consumption, resulting in substantial cost savings by minimizing usage during peak hours and enhancing overall efficiency. The Demand Response Program (DRP) and optimal power sharing have gained significant attention to provide technical and economic benefits, while they require an efficient operation framework. Therefore, a two-stage framework is proposed for multi-objective operation of a distribution network with several generation resources. The first stage applies DRP to maximize the distribution network operator’s (DNO) profit by optimizing common incentive rate for all consumers participate in DRP and an individual curtailed power for each consumer. In addition to an individual incentive rate for each consumer participates in DRP which is a new solution in the field of demand side management. The second stage achieves optimal power sharing among generation resources, while considering multiple objectives and incorporating the modified load of the first stage. The multi-objective problem is formulated to reduce energy losses, voltage deviation, total operational cost, gas emissions, and maximize the voltage stability index. The problem is optimized using a combination of the technique for order of preference by similarity to ideal solution (TOPSIS) and the elephant herding optimization (EHO) technique. The framework is validated using a modified IEEE 33-bus that incorporates photovoltaic system, diesel generators, and wind generation system. The proposed framework based on an individual incentive rate DRP provides superior response compared to common incentive rate DRP which reduces the total energy losses by 38.13%, reduces the total generation cost by 9.468%, and reduces the emission by 5.9%.
Alzheimer’s disease recognition using graph neural network by leveraging image-text similarity from vision language model
ANGPTL4 induces Kupffer cell M2 polarization to mitigate acute rejection in liver transplantation
Association between the depressive symptom trajectories and all-cause mortality in Chinese middle-aged and elderly adults
Optimization of energy management in Malaysian microgrids using fuzzy logic-based EMS scheduling controller
The association between the healthy lifestyle index and MRI-derived body composition measurements in the UK Biobank study
Fear of progression, coping strategies, and associated factors among a sample of Malaysian women with breast cancer
Details on the transport of European eel larvae through the Strait of Gibraltar into the Mediterranean Sea
AbstractNumbers of European glass eels (Anguilla anguilla) monitored along the Atlantic and Mediterranean coasts of Europe currently serve as the main stock indicator in assessment of this critically endangered species. Spawning, however, takes place exclusively in the Sargasso Sea, several thousand kilometers away. The beginning of its complex lifecycle is characterized by a distant and lengthy larval drift, before the young-of-the-year reach the monitoring stations at the European coasts. The oceanic mechanisms regulating dispersal and distribution of European eel leptocephalus larvae, before they metamorphose into glass eels and colonize future growth habitats, are still poorly understood and data are scarce. Here, we present oceanographic and leptocephalus catch data from a 24-h station on board of the German Research Vessel Meteor, covering one event cycle of the tide-derived change of hydrographic conditions in the central part of the Strait of Gibraltar. Results of this study provide detailed insights on how the exchange of water masses between the Atlantic and the Mediterranean Sea may favor or prevent transport and migration of eel larvae through the Strait, which potentially plays a decisive role in timing and magnitude of larval recruitment events into the entire Mediterranean region.
Repeated ionizing radiation exposure induces TRIP13 expression, conferring radioresistance in lung cancer cells
Isolation and characterization of a new Leptobacillium species promoting tomato plant growth
An effective vessel segmentation method using SLOA-HGC
A single-center prospective study evaluating the relationship of tumor consistency on remission in acromegaly patients
Research on design and control method of active vibration isolation system based on piezoelectric Stewart platform
AbstractSpace payloads in orbit are vulnerable to small vibrations from satellite platforms, which can degrade their performance. Traditional methods typically involve installing a passive vibration isolation system between the platform and the payload. However, such systems are usually effective only for high-frequency, large-amplitude vibrations and perform poorly in isolating low-frequency vibrations and resonances below 10 Hz. To address this limitation, this paper proposes an active vibration isolation system using a 6-degrees-of-freedom Stewart platform driven by piezoelectric actuators. First, the characteristics of the Stewart platform are analyzed and modeled, with the deformation displacement of each leg calculated through decoupling, allowing for high-precision servo control. Next, given the inherent hysteretic nonlinearity of piezoelectric ceramics, which significantly affects positioning accuracy, the hysteresis mechanism of the actuators is analyzed, and a phenomenological mathematical model based on Bouc–Wen operators is established. A Modified particle swarm optimization (MPSO) method is proposed for identifying the model’s nonlinear parameters, significantly enhancing the optimization efficiency. Finally, feedforward inverse compensation and feedback linearization methods are introduced. Experimental results verify that the designed active–passive vibration isolation system greatly improves both the positioning accuracy of the piezoelectric actuators and the active vibration isolation performance of the platform.