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Biological Psychiatry Global Open science 2025年

作者： Angela Koloi Nabila P.R. Siregar Rick Quax Antonis I. Sakellarios Femke Lamers Arja Rydin Kevin Dobretz Costas Papaloukas Dimitrios I. Fotiadis Jos A. Bosch Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering University of Ioannina Ioannina Greece Department of Biological Applications and Technology University of Ioannina Ioannina Greece Department of Clinical Psychology University of Amsterdam Amsterdam The Netherlands Computational Science Lab Institute of Informatics University of Amsterdam Amsterdam The Netherlands Biomedical Engineering of the Department of Mechanical Engineering and Aeronautics University of Patras Patras Greece Department of Psychiatry Amsterdam UMC location Vrije Universiteit Amsterdam Boelelaan 1117 Amsterdam The Netherlands Amsterdam Public Health Mental Health Program Amsterdam The Netherlands Cardiology Geneva University Hospitals Geneva Switzerland Department of Medicine University of Geneva Geneva Switzerland Biomedical Research Institute Foundation for Research and Technology - Hellas (FORTH) Ioannina Greece Department of medical Psychology Amsterdam University Medical Centers Amsterdam The Netherlands

Background Major depressive disorder (MDD) and cardiovascular diseases (CVD) often co-occur whereby comorbidity results in poorer clinical outcomes, presumably due to shared immune-metabolic pathways. Identifying shared biomarkers for MDD-CVD comorbidity may provide targets for prevention or treatment. Methods Using data from the Netherlands Study of Depression and Anxiety (NESDA: N=2,256, 66.3% female, mean age 41.75 ± 13.11 years), validated with the UK Biobank data (UKB, N=35,668, 56.14% female, mean age 63.95 ± 7.74 years), this study aimed to identify (i) biomarkers, closely associated with current MDD, and (ii) longitudinal pathways linking MDD and atherosclerotic CVD. Plasma metabolites (NMR, Nightingale) and inflammatory markers were used as exposures within a Machine Learning framework. Influential biomarkers were integrated into a temporal network analysis linking MDD to subsequent CVD, exploring longitudinal pathways through Causal Discovery, validated by sensitivity analysis and centrality assessment. External validation included mediation and regression analysis adjusting for covariates. Results Network analysis identified stable direct paths from MDD to CVD via TNF-α, tyrosine, and fatty acids, and indirect paths via acetate, HDL diameter, IL-6, alpha-1-acid glycoprotein (AGP), hs-CRP, and LDL triglycerides. Among these, acetate, tyrosine, AGP, and HDL diameter potentially mediate the MDD-CVD connection, as these were identified as key nodes within the network. UKB validation confirmed HDL diameter ( β = 0.004) and AGP ( β = 0.003) as significant depression-CVD mediators (both p < .001), after adjusting for age, sex, deprivation index, alcohol consumption, smoking status, physical activity, and BMI. Conclusions These analyses identified biomarkers shared in MDD and CVD and may drive comorbid pathology risk.

关键词： MDD biomarkers CVD Machine Learning mediators

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The effect of solution treatments, cooling rates, and natural aging times on the mechanical properties of 6061-T4 aluminum

The effect of solution treatments, cooling rates, and natura...

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59th Meeting of the Society for Machinery Failure Prevention Technology: Essential Technologies for Successful Prognostics

作者： Cullip-Brennan, P. Ordonez-Chu, A. Villalobos, E. Lee, E. McLennan, J. Clark, R. Ogren, J. Es-Said, O.S. National Science Foundation Research Experience for Undergraduate Program Mechanical Engineering Department Loyola Marymount University Los Angeles CA 90045 United States NAVAIR Code 4342 MS Building 2188 Patuxent River MD 20670-1908 United States Boeing Satellite Systems Inc. 2260 E. Imperial Hwy. EI Segundo CA 90245 United States

The influence of varying the thermal processing parameters on the physical and mechanical properties of 6061-T4 aluminum alloy was studied. The variables altered were solution treatment temperatures, quenching media and natural aging durations. The influence of varying these parameters on the tensile strength, electrical resistivity and hardness of the alloy is discussed and correlated.

关键词： Hardness

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Fluorescence of CdSe/ZnS quantum dots in toluene: effect of cyclic temperature

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Energy Procedia 2019年 158卷 5895-5900页

作者： Ying Chen Weiling Luan Shaofu Zhang Fuqian Yang Key Laboratory of Pressure Systems and Safety (MOE) School of Mechanical and Power Engineering East China University of Science and Technology Shanghai 200237 P.R. China Materials Program Department of Chemical and Materials Engineering University of Kentucky Lexington KY 40513 USA

Quantum dots (QDs) are the potential material for the application in optical thermometry, and have been successfully applied to solar cells, LEDs, bio-labeling, structural health monitoring, etc. In this paper, we study the fluorescence properties of CdSe/ZnS QDs in toluene under the action of heating-cooling cycles. The experimental results show that, in a heating-cooling cycle, increasing temperature causes red-shift of the emission peak and the decrease of the PL intensity, and decreasing temperature causes blue-shift of the emission peak and the increase of the PL intensity. The surface structures of the QDs likely are dependent on the cycle numbers, which cause the change of the excited energy state of the QDs in toluene. The results presented in this paper reveals the strong effects of cyclic temperature on the photoluminescence characteristics of QDs.

关键词： QDs heating-cooling photoluminescence toluene

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Study of classification of failure states for Small Unmanned Ground Vehicle by response surface methodology

Study of classification of failure states for Small Unmanned...

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Young Kook Kim Dooyeol Koh Sang Hoon Lee Soohyun Kim Robotics Program Korea Advanced Institute of Science and Technology Daejeon South Korea Division of Mechanical Engineering School of Mechanical AeroSpace and Systems Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea 5th Research and Development Institute-2 Agency for Defense Development Daejeon South Korea

ISBN: (纸本)9781457707223

SUGV(Small Unmanned Ground Vehicle) used for human rescue and military operation is need to overcome the environment that tough terrains such as a hole or high obstacles. As far as the survival of the vehicle and the preserving ability of the information in the vehicle are concerned, it is essential to have an approach for recognizing unattainable driving states. However, despite the fact that the study of obstacle avoidance and stabilization of SUGV is focused on, it is hardly found out ways of classifying unattainable driving states with the sensors mounted on the SUGV unit. In order to overcome the problem, this paper proposes a practical way for classifying SUGV Failure State(SFS) with the meaningful parameters by statistical method, response surface methodology(RSM).

关键词： Response surface methodology Equations Vehicles Mathematical model Robot sensing systems

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Retraction notice to “Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source” [Fuel 324(Part C) (2022) 124759]

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Fuel 2025年 391卷

作者： Zafar Said Tuan Hai Nguyen Prabhakar Sharma Changhe Li Hafiz Muhammad Ali Van Nhanh Nguyen Van Viet Pham Shams Forruque Ahmed Dong Nguyen Van Thanh Hai Truong Department of Sustainable and Renewable Energy Engineering University of Sharjah Sharjah P. O. Box 27272 United Arab Emirates U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E) National University of Sciences and Technology (NUST) Islamabad Pakistan Faculty of Technology Dong Nai Technology University Dong Nai 76000 Viet Nam Mechanical Engineering Department Delhi Skill and Entrepreneurship University Delhi 110089 India School of Mechanical and Automotive Engineering Qingdao University of Technology Qingdao 266520 China Mechanical Engineering Department King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Institute of Engineering HUTECH University Ho Chi Minh City Viet Nam Faculty of Marine Engineering Vietnam Maritime University Haiphong Viet Nam Science and Math Program Asian University for Women Chattogram 4000 Bangladesh University of Science and Technology The University of Danang Viet Nam PATET Research Group Ho Chi Minh City University of Transport Ho Chi Minh City Viet Nam

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A Novel Ensemble XGBoost and Deep Q-Network for Pregnancy Risk Prediction on Multi-Class Imbalanced Datasets

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ICT Express 2025年

作者： Kurnianingsih Sou Nobukawa Melyana Nurul Widyawati Cipta Pramana Nurseno Bayu Aji Afandi Nur Aziz Thohari Dwiana Hendrawati Eri Sato-Shimokawara Naoyuki Kubota Department of Electrical Engineering Politeknik Negeri Semarang H. Soedarto Tembalang Semarang 50275 Central Java Indonesia Department of Computer Science Chiba Institute of Technology 2-17-1 Tsudanuma Narashino 275-0016 Chiba Japan Department of Postgraduate Program Poltekkes Kemenkes Semarang Jl. Tirto Agung Pedalangan Kecamatan Banyumanik Semarang 50268 Central Java Indonesia Department of Obstetrics and Gynecology KRMT Wongsonegoro Hospital Jl. Tembalang Semarang 50272 Central Java Indonesia Department of Mechanical Engineering Politeknik Negeri Semarang H. Soedarto Tembalang Semarang 50275 Central Java Indonesia Faculty of Systems Design Tokyo Metropolitan University Tokyo 1910065 Japan

Addressing imbalanced data is essential for accurate prediction. We propose a novel ensemble method of XGBoost and deep Q-learning networks (DQN) for pregnancy risk prediction. First, we train the majority class utilizing XGBoost. We subsequently utilize DQN to train the minority class into binary classifications. Finally, we use the trained models from DQN and XGBoost in ensemble learning to generate the final classification results. The XGBoost-DQN model achieves high performance with 0.9819 in precision, recall, F1-score, and accuracy, outperforming several baseline classifiers on private data from 5,313 pregnant women in Indonesia and showing superior results on public datasets.

关键词： Imbalanced dataset ensemble learning XGBoost Tree Deep Q-Network pregnancy risk

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The Use of Bioethanol-Isooctane Blend and the Effect of its Molecular Properties on Si Engine Performance and Exhaust Emissions

SSRN

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SSRN 2022年

作者： Nanlohy, Hendry Y. Adiwidodo, Satworo Yamaguchi, Masaki Subagyo, Rachmat Suryanto, Heru Wardana, I.N.G. Ueda, Toishihisa Department of Mechanical Engineering Jayapura University of Science and Technology 99351 Indonesia Department of Mechanical Engineering State Polytechnic of Malang 65141 Indonesia School of Science for Open and Environmental Systems Keio University Join Program Center Teikyo University Tokyo 108-8345 Japan Department of Mechanical Engineering Lambung Mangkurat University 70123 Indonesia Department of Mechanical Engineering State University of Malang 65145 Indonesia Department of Mechanical Engineering Brawijaya University 65145 Indonesia

This paper experimentally investigates the effect of ignition timing on a spark-ignition engine using 50% isooctane and bioethanol as fuel. In addition, the atomic, bond, and bond angle properties of both fuel molecules were investigated. The engine tests were conducted on three different ignition timings at 9°, 12°, and 15° before the top dead center (BTDC) with the wide-open throttle at 3500 rpm to 7500 rpm. The result shows that ethanol has 8 non-rotatable and 1 rotatable atomic bond, while the isooctane bond has 23 non-rotatable bonds and 2 rotatable bonds. In addition, ethanol has a partial charge of δ+ 0.209 and δ- 0.395, which is larger than isooctane (i.e., δ+ 0.030, and δ- 0.063);on the other hand, isooctane has a bond angle of 121.1745° that is greater than ethanol, which is 110.0476°. The result shows that the unique molecular properties of ethanol and isooctane can increase the reactivity of the fuel molecules, thereby increasing the performance of the spark-ignition engine. The results also show that the modification to ignition timing gives the maximum effect occurring at 12° for BE50. Moreover, the BE50 produces environmentally friendly exhaust emissions, thus proving that BE50 has the potential to be used in spark-ignition engines. © 2022, The Authors. All rights reserved.

关键词： Paraffins

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NOMAD: Nonlinear Manifold Decoders for Operator Learning

arXiv

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arXiv 2022年

作者： Seidman, Jacob H. Kissas, Georgios Perdikaris, Paris Pappas, George J. Graduate Program in Applied Mathematics and Computational Science University of Pennsylvania United States Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania United States Department of Electrical and Systems Engineering University of Pennsylvania United States

Supervised learning in function spaces is an emerging area of machine learning research with applications to the prediction of complex physical systems such as fluid flows, solid mechanics, and climate modeling. By directly learning maps (operators) between infinite dimensional function spaces, these models are able to learn discretization invariant representations of target functions. A common approach is to represent such target functions as linear combinations of basis elements learned from data. However, there are simple scenarios where, even though the target functions form a low dimensional submanifold, a very large number of basis elements is needed for an accurate linear representation. Here we present NOMAD, a novel operator learning framework with a nonlinear decoder map capable of learning finite dimensional representations of nonlinear submanifolds in function spaces. We show this method is able to accurately learn low dimensional representations of solution manifolds to partial differential equations while outperforming linear models of larger size. Additionally, we compare to state-of-the-art operator learning methods on a complex fluid dynamics benchmark and achieve competitive performance with a significantly smaller model size and training cost. © 2022, CC BY-NC-SA.

关键词： Benchmarking

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Magnons and Phonons Optically Driven out of Local Equilibrium in a Magnetic Insulator

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Physical Review Letters 2016年第10期117卷 107202-107202页

作者： Kyongmo An Kevin S. Olsson Annie Weathers Sean Sullivan Xi Chen Xiang Li Luke G. Marshall Xin Ma Nikita Klimovich Jianshi Zhou Li Shi Xiaoqin Li Department of Physics Center for Complex Quantum Systems The University of Texas at Austin Austin Texas 78712 USA Department of Mechanical Engineering The University of Texas at Austin Austin Texas 78712 USA Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin Texas 78712 USA

The coupling and possible nonequilibrium between magnons and other energy carriers have been used to explain several recently discovered thermally driven spin transport and energy conversion phenomena. Here, we report experiments in which local nonequilibrium between magnons and phonons in a single crystalline bulk magnetic insulator, Y3Fe5O12, has been created optically within a focused laser spot and probed directly via micro-Brillouin light scattering. Through analyzing the deviation in the magnon number density from the local equilibrium value, we obtain the diffusion length of thermal magnons. By explicitly establishing and observing local nonequilibrium between magnons and phonons, our studies represent an important step toward a quantitative understanding of various spin-heat coupling phenomena.

关键词： Spin Seebeck effect Spin caloritronics Spintronics Magnetic insulators Brillouin scattering & spectroscopy Fabry-Pérot interferometry

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Design and prototype development of advanced oxidation black and gray water treatment systems

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NAVAL ENGINEERS JOURNAL 2006年第3期118卷 51-64页

作者： Markle, Stephen P. CDR. STEPHEN P. MARKLE USN (REt.)P.E.a retired US Navy Engineering Duty Officer and is the Engineering Director for Navalis Environmental Systems. His active duty assignments included the staff of the Chief of Naval Operations Director of Surface Warfare as Section Head for Surface Combatant Maintenance and Modernization Program Executive Office Expeditionary Warfare as Assistant Project Manager for the (TAKE 1)Class Program and as Deputy Director Environmental Programs Division at Naval Sea Systems Command. He is a 1993 graduate of the Naval Construction and Engineering Program at the Massachusetts Institute of Technology where he received a Naval Engineers Degree and Master of Science in Mechanical Engineering. Since 1995 he has authored thirteen published technical papers dealing with environmental issues. CDR Markle is the recipient of Fiscal Year 2001 Individual Environmental Quality Awards and Environmental Excellence in Weapon System Acquisition Team Awards from Naval Sea Systems Command Chief of Naval Operations Secretary of the Navy and Secretary of Defense and the 2001 ASNE “Jimmie Hamilton” award. He is a Professional Engineer registered in the State of New York and Commonwealth of Virginia. He serves as the Chair of the Joint ASNE/SNAME Committee on Environmental Engineering and also as Chair of ASTM Ships and Marine Technology Marine Environmental Protection Subcommittee (F25.06).

Regulations governing the discharge of sewage from ships have been in force since the early 1970's. In response, the marine industry has developed ever more complex systems and processes for managing these wastes. The first compliance method involved holding wastes until they could be legally discharged;as technology advanced, treatment systems were developed and installed to enable discharge within regulated waters. As the size and number of ships as increased with maturation of the ocean tourism business, more restrictive regulations have been enacted to minimize the impact on sensitive waters. The trend is toward increasing regulation of both sewage and graywater. The most recent action occurred on 12 October 2005 when the Governor of California signed into law Senate Bill 771 regulating most ship liquid discharges within state waters. This paper describes the development of an innovative advanced wastewater treatment technology, based on advanced oxidation, bearing in mind the lessons learned from systems developed by industry over the past thirty years.

关键词： Wastewater treatment

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