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Guest Editorial:Special Section on SC22 Student Cluster Competition

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2025年第5期36卷 803-803页

作者： Rana, Omer Spillner, Josef Leak, Stephen Lofstead II, Gerald F. Calasanz, Rafael Tolosana Cardiff Univ Cardiff CF14 4XY England Zurich Univ Appl Sci CH-8401 Winterthur Switzerland Natl Energy Res Sci Comp Ctr Berkeley CA 94720 USA Sandia Natl Labs Livermore CA 94551 USA Univ Zaragoza Zaragoza 50018 Spain

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Development and implementation of a numerical simulation system for analyzing the thermal-hydraulic (T-H) characteristics of the MNSR research reactor fuel assembly

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NUCLEAR ENGINEERING AND DESIGN 2024年 416卷

作者： Al-Zain, Jamal El Hajjaji, O. El Bardouni, T. Basfar, Ahmed A. Alnaser, Ibrahim A. Lahdour, M. Galahom, A. Abdelghafar Boulaich, Y. Ahmed, Abdulaziz Mira, Mohamed Sanaa Univ Dept Phys Sanaa Yemen Al Mahweet Univ Dept Phys Al Mahweet Yemen Univ Abdelmalek Essaadi Fac Sci Radiat & Nucl Syst Lab ERSN Tetouan Morocco King Saud Univ Coll Engn Engn Dept POB 800 Riyadh 11421 Saudi Arabia King Saud Univ Coll Engn Msc Nucl Engn POB 145111 Riyadh Saudi Arabia King Saud Univ Coll Engn Ctr Excellence Res Engn Mat CEREM Riyadh Saudi Arabia Higher Technol Inst 10th Of Ramadan City Egypt Natl Ctr Energy Sci & Nucl Tech CNESTEN CENM Rabat Morocco Abyan Univ Fac Lawder Dept Phys Zinjibar Yemen

In this study, a numerical simulation system was developed using python and MATLAB programming languages to analyze the Thermal -Hydraulic (T -H) characteristics of the fuel assembly in the MNSR reactor. Our research aims to address a critical problem in nuclear reactor operation: understanding and optimizing the temperature distribution in the fuel assembly. This is essential for ensuring the safe and efficient operation of the reactor, as it helps maintain the reactor within its operational limits and prevents the risks of overheating or insufficient cooling. The simulation system employs the Finite Volume Method to discretize the governing equations for fluid mechanics and heat transfer, enabling the prediction of the temperature distribution in both radial and axial cases. The system also takes into account the effects of power distribution, fuel burnup, and coolant flow rate on the temperature distribution. The case study was performed on the fuel assembly and compared the simulation system's results with those obtained using the PARET/ANL code. The temperature profile in the axial direction showed that the coolant temperature increased continuously from the inlet value of 24.0 degrees Celsius to the outlet value of 70.0 degrees Celsius. The comparison indicates that the simulation system provides accurate and reliable predictions of the thermal -hydraulic (T -H) behavior of the fuel assembly. Furthermore, the developed numerical simulation system offers a valuable tool for analyzing the T -H characteristics of fuel assemblies in research reactors, which can be applied to other kinds of nuclear research reactors to help optimize their design and operation. The results of this study have broader implications for the nuclear industry and demonstrate the effectiveness of using python and MATLAB to develop simulation systems for predicting the thermohydraulic behavior of fuel assemblies in research reactors.

关键词： python code Matlab code PARET/ANL code MNSR reactor

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Recurrence Quantification Analysis Based Methodology in Automatic Aerobic Threshold Detection: Applicability and Accuracy across Age Groups, Exercise Protocols and Health Conditions

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APPLIED SCIENCES-BASEL 2024年第20期14卷 9216页

作者： Zimatore, Giovanna Serantoni, Cassandra Gallotta, Maria Chiara Meucci, Marco Mourot, Laurent Ferrari, Dafne Baldari, Carlo De Spirito, Marco Maulucci, Giuseppe Guidetti, Laura eCampus Univ Dept Theoret & Appl Sci I-22060 Novedrate Italy CNR Inst Microelect & Microsyst IMM I-40129 Bologna Italy Univ Cattolica Sacro Cuore Metab Intelligence Lab Neurosci I-00168 Rome Italy Fdn Policlin Univ Agostino Gemelli IRCCS Phys Life Sci I-00168 Rome Italy Sapienza Univ Rome Dept Physiol & Pharmacol Vittorio Erspamer I-00185 Rome Italy Appalachian State Univ Dept Hlth & Exercise Sci Boone NC 28608 USA Univ Franche Comte SINERGIES F-25000 Besancon France Thompson Rivers Univ Fac Sci Dept Biol Sci Kamloops BC V2C 0C8 Canada Link Campus Univ Dept Human Sci Hlth & Hlth Care Profess I-00165 Rome Italy Niccolo Cusano Univ Dept Unicusano I-00166 Rome Italy

A new method based on the Recurrence Quantification Analysis (RQA) of the heart rate (HR) offers an objective, efficient alternative to traditional methods for Aerobic Threshold (AerT) identification that have practical limitations due to the complexity of equipment and interpretation. This study aims to validate the RQA-based method's applicability across varied demographics, exercise protocols, and health status. Data from 123 cardiopulmonary exercise tests were analyzed, and participants were categorized into four groups: athletes, young athletes, obese individuals, and cardiac patients. Each participant's AerT was assessed using both traditional ventilatory equivalent methods and the automatic RQA-based method. Ordinary Least Products (OLP) regression analysis revealed strong correlations (r > 0.77) between the RQA-based and traditional methods in both oxygen consumption (VO2) and HR at the AerT. Mean percentage differences in HR were below 2.5%, and the Technical Error for HR at AerT was under 8%. The study validates the RQA-based method, directly applied to HR time series, as a reliable tool for the automatic detection of the AerT, demonstrating its accuracy across diverse age groups and fitness levels. These findings suggest a versatile, cost-effective, non-invasive, and objective tool for personalized exercise prescription and health risk stratification, thereby fulfilling the study's goal of broadening the method's applicability.

关键词： aerobic transition heart rate variability nonlinear time series analysis python code athletes obesity cardiorespiratory monitoring cardiac signal processing wearable and portable sensors

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Automated inverse analysis of a deep excavation in Ankara clay using finite element analysis

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ARABIAN JOURNAL OF GEOSCIENCES 2021年第19期14卷 1-18页

作者： Engin, Tugce Aktas Cokca, Erdal Middle East Tech Univ Dept Civil Engn Ankara Turkey

The objective of this study is to find out the constant that shows a linear relationship between the deformation modulus parameter of Ankara clay and SPT N-60 values by using Plaxis 2D software. During analyses, three constitutive models are used, those are Mohr-Coulomb (MC), hardening soil model (HS), and hardening soil model with small strain stiffness (HSsmall). For that purpose, reverse analysis of a 25.0-m deep excavation was done by comparing results with displacements taken from inclinometer measurements. Instead of using an idealized soil profile, soil layers are divided into 1.5-m thicknesses according to SPT N measurement depths;and for each interval, soil parameter correlation is performed. To minimize time loss, analyses were performed by writing a python code. Finally, results were evaluated by comparing soil models with each other, and it is found out that displacement curves of the MC model could not converge to the actual displacements. Analyses results of the HSsmall model are the closest displacements to the measured values on the site. Also, displacement curves of the hardening models (HS and HSsmall) are almost similar, and the linear correlation constant is found as E-50(ref) similar to 780xN(60) kPa for this excavation of the case study in Ankara clay in HS and HSsmall models.

关键词： Deep excavation Ankara clay Inverse analysis python code Constitutive soil model Case study

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Metal ion content of internal organs in the calorically restricted Wistar rat

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JOURNAL OF TRACE ELEMENTS IN MEDICINE AND BIOLOGY 2023年第1期78卷 127182页

作者： Santos-Diaz, Alma I. Solis-Lopez, Jordi Diaz-Torres, Elizabeth Guadarrama-Olmos, Jose C. Osorio, Beatriz Kroll, Thomas Webb, Samuel M. Hiriart, Marcia Jimenez-Estrada, Ismael Missirlis, Fanis Cinvestav Dept Physiol Biophys & Neurosci Mexico City 07360 Mexico Cinvestav Dept Phys Mexico City 07360 Mexico SLAC Natl Accelerator Lab Stanford Synchrotron Radiat Lightsource Menlo Pk CA 94025 USA Univ Nacl Autonoma Mexico Inst Cellular Physiol Mexico City 04510 Mexico Dept Physiol Biophys & Neurosci Ave Inst Politecn Nacl 2508 Mexico City 07360 Mexico

Background: Despite the agreed principle that access to food is a human right, undernourishment and metal ion deficiencies are public health problems worldwide, exacerbated in impoverished or war-affected areas. It is known that maternal malnutrition causes growth retardation and affects behavioral and cognitive development of the newborn. Here we ask whether severe caloric restriction leads per se to disrupted metal accumulation in different organs of the Wistar ***: Inductively coupled plasma optical emission spectroscopy was used to determine the concentration of multiple elements in the small and large intestine, heart, lung, liver, kidney, pancreas, spleen, brain, spinal cord, and three skeletal muscles from control and calorically restricted Wistar rats. The caloric restriction protocol was initiated from the mothers prior to mating and continued throughout gestation, lactation, and post-weaning up to sixty days of age. Results: Both sexes were analyzed but dimorphism was rare. The pancreas was the most affected organ presenting a higher concentration of all the elements analyzed. Copper concentration decreased in the kidney and increased in the liver. Each skeletal muscle responded to the treatment differentially: Extensor Digitorum Longus accu-mulated calcium and manganese, gastrocnemius decreased copper and manganese, whereas soleus decreased iron concentrations. Differences were also observed in the concentration of elements between organs indepen-dently of treatment: The soleus muscle presents a higher concentration of Zn compared to the other muscles and the rest of the organs. Notably, the spinal cord showed large accumulations of calcium and half the concentration of zinc compared to brain. X-ray fluorescence imaging suggests that the extra calcium is attributable to the presence of ossifications whereas the latter finding is attributable to the low abundance of zinc synapses in the spinal ***: Severe caloric restriction did not lea

关键词： Biometals Calcium aggregates Inflammation Metallome python code Synchrotron

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BELLO: A post-processing tool for the local-order analysis of disordered systems

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COMPUTATIONAL MATERIALS SCIENCE 2022年第0期209卷

作者： Dianat, Behnood Tavanti, Francesco Padovani, Andrea Larcher, Luca Calzolari, Arrigo Univ Modena & Reggio Emilia Dipartimento Sci & Metodi Ingn Via Giovanni Amendola 2 I-42122 Reggio Emilia Italy CNR NANO Ist Nanosci Ctr S3 Via Campi 213A I-41125 Modena Italy AMAT Appl Mat Italia Via Meuccio Ruini 74L Reggio Emilia Italy

The characterization of the atomic structure of disordered systems, such as amorphous, glasses and (bio)molecule in solution, is a fundamental step for most theoretical investigations. The properties of short-and medium-range local order structures are responsible for the electronic, optical and transport properties of these systems. Here, we present the BELLO open source code, a post-processing script-tool created for the automatic analysis and extraction of structural characteristics of disordered and amorphous systems. BELLO is agnostic to the code that generated single configurations or trajectories, it provides an intuitive access through a graphical user interface (GUI), and it requires minimal computational resources. Its capabilities include the calculation of the order parameter q, the folded structure identification, and statistical analysis tools such as atomic coordination number and pair/angle-distribution functions. The working principles of the code are described and tested on ab initio molecular dynamics trajectories of amorphous chalcogenides.

关键词： python code Disordered systems Molecular dynamics Local-order structures Statistical analysis

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An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores

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MATERIALS 2020年第18期13卷 4062-4062页

作者： Libardo Rodriguez-Montano, Oscar Julio Cortes-Rodriguez, Carlos Uva, Antonio Emmanuele Fiorentino, Michele Gattullo, Michele Manghisi, Vito Modesto Boccaccio, Antonio Univ Nacl Colombia Dept Ingn Mecan & Mecatron Bogota 111321 Colombia Politecn Bari Dipartimento Meccan Matemat & Management I-70125 Bari Italy

Despite the wide use of scaffolds with spherical pores in the clinical context, no studies are reported in the literature that optimize the micro-architecture dimensions of such scaffolds to maximize the amounts of neo-formed bone. In this study, a mechanobiology-based optimization algorithm was implemented to determine the optimal geometry of scaffolds with spherical pores subjected to both compression and shear loading. We found that these scaffolds are particularly suited to bear shear loads;the amounts of bone predicted to form for this load type are, in fact, larger than those predicted in other scaffold geometries. Knowing the anthropometric characteristics of the patient, one can hypothesize the possible value of load acting on the scaffold that will be implanted and, through the proposed algorithm, determine the optimal dimensions of the scaffold that favor the formation of the largest amounts of bone. The proposed algorithm can guide and support the surgeon in the choice of a "personalized" scaffold that better suits the anthropometric characteristics of the patient, thus allowing to achieve a successful follow-up in the shortest possible time.

关键词： geometry optimization computational mechanobiology bone tissue engineering python code parametric CAD (Computer Aided Design) model

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AdaPT: Adaptable Particle Tracking for spherical microparticles in lab on chip systems

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COMPUTER PHYSICS COMMUNICATIONS 2021年 262卷 107859-107859页

作者： Dingel, Kristina Huhnstock, Rico Knie, Andre Ehresmann, Arno Sick, Bernhard Univ Kassel Dept Elect Engn & Comp Sci Intelligent Embedded Syst Wilhelmshoher Allee 73 D-34121 Kassel Germany Univ Kassel Inst Phys Heinrich Plett Str 40 D-34132 Kassel Germany Univ Kassel Ctr Interdisciplinary Nanostruct Sci & Technol Heinrich Plett Str 40 D-34132 Kassel Germany Berlin HZB Joint Lab Helmholtzzentrum Mat & Energie Artificial Intelligence Methods Expt Design AIM E Hahn Meitner Pl 1 D-14109 Berlin Germany Univ Kassel Hahn Meitner Pl 1 D-14109 Berlin Germany

Due to its rising importance in science and technology in recent years, particle tracking in videos presents itself as a tool for successfully acquiring new knowledge in the field of life sciences and physics. Accordingly, different particle tracking methods for various scenarios have been developed. In this article, we present a particle tracking application implemented in python for, in particular, spherical magnetic particles, including superparamagnetic beads and Janus particles. In the following, we distinguish between two sub-steps in particle tracking, namely the localization of particles in single images and the linking of the extracted particle positions of the subsequent frames into trajectories. We provide an intensity-based localization technique to detect particles and two linking algorithms, which apply either frame-by-frame linking or linear assignment problem solving. Beyond that, we offer helpful tools to preprocess images automatically as well as estimate parameters required for the localization algorithm by utilizing machine learning. As an extra, we have implemented a technique to estimate the current spatial orientation of Janus particles within the x-y-plane. Our framework is readily extendable and easy-to-use as we offer a graphical user interface and a command-line tool. Various output options, such as data frames and videos, ensure further analysis that can be automated. Program summary Program Title: AdaPT CPC Library link to program files: https://***/10.17632/xxpnsbv3cs.1 Developer's repository link: https://***/adapt/adapt Licensing provisions: MPL-2.0 Programming language: python 3.6 Supplementary material: We provide supplementary material to increase the traceability of the provided example. It consists of an exemplary input video, the corresponding annotated video with tracked particles, a data frame including the tracking information, and a plot displaying the trajectories. Nature of problem: Particle tracking

关键词： Particle tracking Machine learning python code Superparamagnetic beads Janus particle Magnetic particle

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Abstract 1839 Ascending through the Cloud: bringing accessible, browser-based python notebooks to the biochemistry classroom

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Journal of Biological Chemistry 2025年第5期301卷

作者： Christopher Berndsen Angela Kayll Angelina Sardelli James Madison University

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A New Autonomous Program Customized for Computing Surface Cracks in an Unsaturated Soil in a 1-D Column

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JOURNAL OF TESTING AND EVALUATION 2019年第5期47卷 3822-3835页

作者： Anangsha, A. Gadi, Vinay Kumar Bordoloi, Sanandam Kothapalli, Sai Krishna Sreedeep, S. Mei Guoxiong Garg, Ankit Indian Inst Technol Guwahati Dept Civil Engn Gauhati 781039 India Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati 781039 India Guangxi Univ Sch Civil Engn & Architecture Nanning 530005 Peoples R China Shantou Univ Dept Civil & Environm Engn Shantou 515063 Peoples R China

The quantification of soil surface cracks is important, as it is useful in analyzing water infiltration and overall water balance in any green infrastructure, such as slopes, agricultural fields, green roofs, etc. In previously reported studies, the approaches for quantifying cracks mainly used manual processing of images through the public domain image analysis tool ImageJ. Such software is not customized for quantifying cracks in an unsaturated soil surface, as this results in relatively higher noise (i.e., lower resolution) in the processed image. Furthermore, manual processing makes processing of images in large quantities (usually captured through unmanned aerial vehicle (UAV) surveying) cumbersome. This technical note introduces an autonomous novel image analysismethod for characterizing surface crack patterns that develop in unsaturated soils. A simple experimental setup was developed using a 1-D column containing red soil. The soil was compacted by hand to the desired state of compaction and placed in an environment-controlled chamber where it was allowed to dry. A series of images of the soil sample was captured using a commercially available camera model (Canon EOS 700D) to have photographic representation of the cracking process. A step-by-step strategy using a script coded in python was developed to analyze the images captured during the laboratory tests. It outlines how image analysis can be automated to remove observer-dependent subjectivity (involved inmanual processing of images) and introduces reproducibility of results. In addition, it effectively quantifies cracks in unsaturated soils with a much lower processing time and higher accuracy (less noise).

关键词： surface cracks autonomous customized lower noise python code

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