101,579 results match your criteria: "* School of Engineering[Affiliation]"

Foot trajectory as a key factor for diverse gait patterns in quadruped robot locomotion.

Sci Rep

January 2025

Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan.

Four-legged robots are becoming increasingly pivotal in navigating challenging environments, such as construction sites and disaster zones. While substantial progress in robotic mobility has been achieved using reinforcement learning techniques, quadruped animals exhibit superior agility by employing fundamentally different strategies. Bio-inspired controllers have been developed to replicate and understand biological locomotion strategies.

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Enabling ultra-flexible inorganic thin-film-based thermoelectric devices by introducing nanoscale titanium layers.

Nat Commun

January 2025

School of Chemistry and Physics, ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality, and Centre for Materials Science, Queensland University of Technology, Brisbane, QLD, Australia.

Here, we design exotic interfaces within a flexible thermoelectric device, incorporating a polyimide substrate, Ti contact layer, Cu electrode, Ti barrier layer, and thermoelectric thin film. The device features 162 pairs of thin-film legs with high room-temperature performance, using p-BiSbTe and n-BiTeSe, with figure-of-merit values of 1.39 and 1.

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First English article of Yagi-Uda antenna.

Proc Jpn Acad Ser B Phys Biol Sci

January 2025

School of Engineering, Tohoku University, Sendai, Miyagi, Japan.

Herein, the first English article demonstrating the Yagi-Uda antenna is introduced. The article was originally published in the Proceedings of the Imperial Academy of Japan in 1926.

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User Acceptance of a Home Robotic Assistant for Individuals With Physical Disabilities: Explorative Qualitative Study.

JMIR Rehabil Assist Technol

January 2025

Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway.

Background: Health care is shifting toward 5 proactive approaches: personalized, participatory, preventive, predictive, and precision-focused services (P5 medicine). This patient-centered care leverages technologies such as artificial intelligence (AI)-powered robots, which can personalize and enhance services for users with disabilities. These advancements are crucial given the World Health Organization's projection of a global shortage of up to 10 million health care workers by 2030.

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Environmental assessment of formal and informal waste treatment of liquid crystal display (LCD) monitors.

Sci Total Environ

January 2025

Tyndall Centre for Climate Change Research, School of Engineering, 5th Floor, Engineering A, University of Manchester, Manchester M13 9PL, UK. Electronic address:

In Santiago, Chile, 315,000 liquid crystal display (LCD) monitors are discarded annually. Of this amount, the formal sector of refurbishment and recycling manages only 5 %, creating the conditions for the emergence of informal management systems. This study provides the first comprehensive environmental and circularity assessment of monitor treatment across multiple impact categories, identifying trade-offs associated with formal and informal operations.

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Hepatotoxicity of Three Common Liquid Crystal Monomers in : Differentiation of Actions Across Different Receptors and Pathways.

Environ Sci Technol

January 2025

State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, P. R. China.

Liquid crystal monomers (LCMs) of different chemical structures were widely detected in various environmental matrices. However, their health risk evaluation is lacking. Herein, three representative LCMs were selected from 74 LCM candidates upon literature review and acute cytotoxicity evaluation, then were exposed to the three LCMs for 42 days at doses of 0.

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All-solid-state fluoride-ion batteries (FIBs) have attracted extensive attention as candidates for next-generation energy storage devices; however, promising cathodes with high energy density are still lacking. In this study, CuN is investigated as a cathode material for all-solid-state fluoride-ion batteries, which offers enough anionic vacancies around the 2-fold coordinated Cu center for F intercalation, thereby enabling a multielectron-transferred fluorination process. The contribution of both cationic and anionic redox to charge compensation, in particular, the generation of molecular nitrogen species in highly charged states, has been proved by several synchrotron-radiation-based spectroscopic technologies.

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Background: Modulation of protein synthesis according to the physiological cues is maintained through tight control of Eukaryotic Elongation Factor 2 (eEF2), whose unique translocase activity is essential for cell viability. Phosphorylation of eEF2 at its Thr56 residue inactivates this function in translation. In our previous study we reported a novel mode of post-translational modification that promotes higher efficiency in T56 phosphorylation.

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During the last decades, the use of innovative hybrid materials in energy storage devices has led to notable advances in the field. However, further enhancement of their electrochemical performance faces significant challenges nowadays, imposed by the materials used in the electrodes and the electrolyte. Such problems include the high solubility of both the organic and the inorganic anode components in the electrolyte as well as the limited intrinsic electronic conductivity and substantial volume variation of the materials during cycling.

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Silicosis represents a formidable occupational lung pathology precipitated by the pulmonary assimilation of respirable crystalline silica particulates. This condition engenders a cascade of cellular oxidative stress via the activation of bioavailable silica, culminating in the generation of reactive oxygen species (ROS). Such oxidative mechanisms lead to irrevocable pulmonary impairment.

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4D-DIA Proteomics Uncovers New Insights into Host Salivary Response Following SARS-CoV-2 Omicron Infection.

J Proteome Res

January 2025

PPGEMN, School of Engineering, Mackenzie Presbyterian University & MackGraphe - Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, São Paulo 01302-907, Brazil.

Since late 2021, Omicron variants have dominated the epidemiological scenario as the most successful severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sublineages, driving new and breakthrough infections globally over the past two years. In this study, we investigated for the first time the host salivary response of COVID-19 patients infected with Omicron variants (BA.1, BA.

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Neurodegenerative diseases, characterized by the progressive deterioration of neuronal function and structure, pose significant global public health and economic challenges. Brain-Derived Neurotrophic Factor (BDNF), a key regulator of neuroplasticity and neuronal survival, has emerged as a critical biomarker for various neurodegenerative and psychiatric disorders, including Alzheimer's disease. Traditional diagnostic methods, such as Enzyme-Linked Immunosorbent Assay (ELISA) and electrochemiluminescence (ECL) assays, face limitations in terms of sensitivity, stability, reproducibility, and cost-effectiveness.

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A challenging aspect in the synthesis of covalent organic frameworks (COFs) that goes beyond the framework's structure and topology is interpenetration, where two or more independent frameworks are mechanically interlocked with each other. Such interpenetrated or interlocked frameworks are commonly found in three-dimensional (3D) COFs with large pores. However, interlocked two-dimensional (2D) COFs are rarely seen in the literature, as 2D COF layers typically crystallize in stacks that maximize stabilization through π-stacking.

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Robotic Microcapsule Assemblies with Adaptive Mobility for Targeted Treatment of Rugged Biological Microenvironments.

ACS Nano

January 2025

Center for Innovation & Precision Dentistry, School of Dental Medicine, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.

Microrobots are poised to transform biomedicine by enabling precise, noninvasive procedures. However, current magnetic microrobots, composed of solid monolithic particles, present fundamental challenges in engineering intersubunit interactions, limiting their collective effectiveness in navigating irregular biological terrains and confined spaces. To address this, we design hierarchically assembled microrobots with multiaxis mobility and collective adaptability by engineering the potential magnetic interaction energy between subunits to create stable, self-reconfigurable structures capable of carrying and protecting cargo internally.

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Single use plastics are a leading source of microplastics that have been detected along the food chain. This study evaluated the potential of starch (ST) and carrageenan (CRG) in packaging film formulation. CRG isolated from the seaweed (SW) was blended with starch and cast to obtain films whose moisture content (MC), total soluble matter (TSM), degree of solubility (DS), water vapor permeability (WVP), opacity (O), contact angles (CA), moisture absorption (MA), and percent elongation (PE) were evaluated.

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Objectives: To predict and characterize the three-dimensional (3D) structure of protein arginine methyltransferase 2 (PRMT2) using homology modeling, besides, the identification of potent inhibitors for enhanced comprehension of the biological function of this protein arginine methyltransferase (PRMT) family protein in carcinogenesis.

Materials And Methods: An method was employed to predict and characterize the three-dimensional structure. The bulk of PRMTs in the PDB shares just a structurally conserved catalytic core domain.

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We present a computational investigation into the fragmentation pathways of ethanolamine (CHNO, EtA), propanol (CHO, PrO), butanenitrile (CHN, BuN), and glycolamide (CHNO, GlA)-saturated organic molecules detected in the interstellar medium (ISM), particularly in the molecular cloud complex Sagittarius B2 (Sgr B2) and its molecular cloud G+0.693-0.027.

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Whether it be due to genetic variances, lack of patient adherence, or sub-optimal drug metabolism, the risk of antibiotic resistance from medications administered systemically continues to pose significant challenges to fighting infectious diseases. Ideally, infections would be treated locally for maximal efficacy while minimizing off-target effects. The electrospinning of biomaterials has recently facilitated the creation of electrospun nanofibers as an alternative delivery vehicle for local treatment.

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Immune Dysregulation and Cellular Composition in Lichen Sclerosus Revealed by Integrative Epigenetic Analysis with Cell Type Deconvolution.

J Inflamm Res

January 2025

Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education; Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology; National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering); School of Engineering Medicine, Beihang University, Beijing, 100191, People's Republic of China.

Background: Lichen sclerosus (LS) is a chronic inflammatory disease affecting skin and mucosal tissues, particularly external genitalia, with a risk of cancer. Its etiology is unknown, possibly involving immune dysregulation and inflammation.

Methods: Study used DNA methylation (DNAme) and single-cell RNA sequencing (scRNA-seq) to compare LS with normal skin.

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Given that stomach cancer is the fourth leading cause of cancer-related death, there is a need to develop new drugs. Among various methods, metal-based coordination compounds are considered as an efficient strategy against this type of cancer. Similarly, the benzimidazole moiety plays a crucial role in biology; thus, various benzimidazole-based compounds have been found to be active as potential anticancer drugs and are currently used in clinical trials.

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Glaucoma, a severe eye disease leading to irreversible vision loss if untreated, remains a significant challenge in healthcare due to the complexity of its detection. Traditional methods rely on clinical examinations of fundus images, assessing features like optic cup and disc sizes, rim thickness, and other ocular deformities. Recent advancements in artificial intelligence have introduced new opportunities for enhancing glaucoma detection.

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Interference of surface plasmons has been widely utilized in optical metrology for applications such as high-precision sensing. In this paper, we introduce a surface plasmon interferometer with the potential to be arranged in arrays for parallel multiplexing applications. The interferometer features two grating couplers that excite surface plasmon polariton (SPP) waves traveling along a gold-air interface before converging at a gold nanoslit where they interfere.

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Principal Component Analysis (PCA) is a powerful multivariate tool allowing the projection of data in low-dimensional representations. Nevertheless, datapoint distances on these low-dimensional projections are challenging to interpret. Here, we propose a computationally simple heuristic to transform a map based on standard PCA (when the variables are asymptotically Gaussian) into an entropy-based map where distances are based on mutual information (MI).

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An integrated approach to uncertainty and global sensitivity analysis in penstock structural modeling.

Heliyon

January 2025

Department of Mechanical Engineering, Mohammadia School of Engineering, Avenue Ibn Sina B.P 765, Agdal, Rabat, 10090, Morocco.

Enhanced penstock structural models significantly advance hydropower engineering, yet their increasing complexity introduces challenges. As model interactions intensify, predictability and comprehensibility decrease, complicating the evaluation of model accuracy and alignment with operational performance metrics and safety standards. This issue is particularly pronounced in dynamic modeling, where knowledge gaps hinder straightforward validation via observational data.

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Global adoption of wind energy continues to increase, while improving the efficiency of turbine settings requires reliable wind speed (WS) models. The latest models rely on artificial intelligence (AI) optimizations which constructs tests on a range of novel hybrid models to examine the reliability. Gradient Boosting (GB), Random Forest (RF), and Long Short-Term Memory (LSTM) are used in new combinations for data pre-processing.

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