bluuebunny/crossref_metadata_2025_split huggingface dataset:
First 3D reconstruction of a blast furnace using muography
Authors: Cohu A. , Chevalier A. , Nechyporuk O. , Franzen A. , Sauerwald J. , Ianigro J-C. , Marteau J. 
Published: July 2023

Abstract
The blast furnace (BF) is the fundamental tool used in the
iron manufacture. Due to the difficulty of making direct
measurements of the inner state of blast furnaces, we determined the
density distribution of its internal volume in order to improve its
productivity using muography. This is an imaging technique based on
the differential absorption of a flux of incident particles, muons,
by the target under study, similar to clinical X-ray imaging. Muons
are elementary particles that have the property of passing through
dense materials, up to hundreds of meters of rocks. Their relative
absorption and deviation allows the generation of density
distribution images of an object by tracking the number of muons
received by a detector, before and after passing through a
structure. The incident direction of the detected muons is
reconstructed by means of a detector composed of 3 scintillator
panels that we moved on 3 positions around the BF. With this
technique, we obtained the first 3D image of the internal structure
of a BF using a Markov Chain Monte Carlo (MCMC) inverse problem
solving algorithm on muon flux data. We were also able to perform
density monitoring of the BF and monitor some of its operating
parameters. We distinguished the position and shape of the cohesive
zone, a key element in the productivity of a furnace, validating
this innovative measurement concept in the application to a BF and
opening the field to a series of future experiments to gain both
spatial and temporal resolution.
A review of water-energy-food-ecosystems Nexus research in the Mediterranean: evolution, gaps and applications
Authors: Lucca Enrico , El Jeitany Jerome , Castelli Giulio , Pacetti Tommaso , Bresci Elena , Nardi Fernando , Caporali Enrica 
Published: July 2023

Abstract
The water-energy-food-ecosystems (WEFE) Nexus has gained recognition as an innovative approach for analysing the interconnectedness of global resource systems and achieving sustainability goals. In the Mediterranean, where water scarcity, climate change, and ecosystem degradation pose significant challenges, implementing an integrated WEFE Nexus approach is crucial. We conducted a comprehensive review of scientific literature through the lenses of Nexus ‘ideas’, ‘relationship’ and ‘practices’. A total of 142 research articles were selected and characterized in terms of WEFE interlinkages being investigated, explored topics, methods and scales of analysis, and contexts of operationalization. We found that water-energy interdependences dominate WEFE Nexus research in the Mediterranean, driven by the large presence of energy-intensive water abstraction and distribution systems to meet drinking and irrigation water demands. At the same time, the expansion of the Nexus approach to additional components is only partial, mostly focusing on assessing impacts on the physical environment and climate, without capturing feedback dynamics. Geographically, Nexus research in the Mediterranean is primarily conducted in isolated case studies, with few large scale assessments developed at the entire Mediterranean scale, and with some countries not yet represented, in particular the Western Balkans. Although WEFE Nexus research in the Mediterranean is recognizing the importance of transdisciplinarity moving beyond biophysical assessments to encompass societal and governance dynamics, further research is needed on understanding the economic implications of WEFE Nexus interactions. To advance Nexus implementation in the region, sustainable technology, and natural resources management, which are key fields of WEFE Nexus research operationalization, would benefit from harmonization in their design objectives. This would enable a more comprehensive and coherent approach towards achieving water, food, and energy security while preserving the environment in the Mediterranean region.
Numerical Simulation of the Effect of Tank Shape on Sloshing Using Smoothed Particle Hydrodynamics
Authors: Utami S , Trimulyono A , Manik P 
Published: July 2023

Abstract
Sloshing is the violent motion of a resonant fluid in a moving tank. When the fluid moves and interacts with the tank, the dynamic pressure from such an interaction can cause large deformations of the tank walls and structure. In this study, a 3D numerical simulation was carried out with five variations of the LNG ship tank model: prismatic, rectangular, tube, spherical, and the new model with a filling ratio of 25%. Forced oscillation motion in a roll with f = 1.04 Hz and amplitude of movement 8.66°. Smoothed Particle Hydrodynamics is a Lagrangian meshless (non-grid) method known as mesh-free computational fluid dynamics. This method is very appropriate for the sloshing phenomenon because the sloshing phenomenon is closely related to free surface motion. Advanced visualization was performed using Blender version 2.92, and the sloshing simulation visualization is more realistic and attractive than conventional SPH post-processing. The results of this study indicate that different tank shapes influence reducing the dynamic pressure value. It is found that an effective tank shape is a tube tank and a new model tank with a reduced dynamic pressure value of 9% and 11%.
Structural design evaluation for Underwater Remotely Operated Vehicle (ROV), case study: Madura Straits
Authors: Syahab H , Ariesta R C , Misbah M N , Zubaydi A , Sujiatanti S H , Putra W H A , Setyawan D 
Published: July 2023

Abstract
Using Remotely Operated Vehicles (ROV) is very important, especially in underwater investigations. The Madura Strait, located between the Java islands and Madura, is used as an industrial area, especially for oil and gas sources. Therefore, the ROV structure must be designed in such a way that it can withstand the hydrostatic loads it receives during operations in the deep sea. The study was conducted to determine the ROV’s ability to withstand hydrostatic loads using materials such as steel, aluminium, and HDPE. The pre-designed ROV is converted and modeled in 3D. The model formed and detailed as the basic form of the ROV is imported to the Finite Element Analysis tools to obtain the value of the stress and deformation of the ROV. Therefore, the load is adjusted to the hydrostatic pressure, with the seawater depth up to 200 m. The study structural design evaluation is able used as a reference for selecting materials used in the ROV.
Hydrodynamic Derivatives of a Ferry Ship Maneuvering in Deep and Shallow Water with Computational Fluid Dynamic Method
Authors: Muhammad A.H. , Paroka D. , Rahman S. , Nikmatullah M.I. , Sudirman L. 
Published: July 2023

Abstract
The mathematical model and hydrodynamic derivatives can be developed in the simulation program to investigate a ship’s maneuvering performance using numerical simulation. This research describes a study to investigate the hydrodynamic derivatives of maneuvering a ferry ship in shallow and deep water. Using virtual drift and rotating arm model simulated, the hydrodynamic derivatives for a ferry ship’s surging, swaying, and yawing motions were obtained through Computational Fluid Dynamics (CFD). The hydrodynamic derivatives of the ferry ship were analyzed from the model test data using the least-square method. This study investigated three conditions of the ferry ship with various water depth conditions. The simulation result indicated that the ferry ship’s water depth affected its maneuvering performance.
Comparative study of spread and vertical mooring configuration in floating collar net cage under irregular waves and current
Authors: Murdjito  , Athallah A G , Prasetywan I , Djatmiko E B 
Published: July 2023

Abstract
Offshore aquaculture is one of the national strategic programs of the Ministry of Fishery and Ocean Affairs of Indonesia to increase national fish cultivation capacity. One solution is using a simple flexible floating collar net which is suitable for small to medium cage volume. In designing such floating net, its mooring line configuration is vital to maintain fixed position of structural part of the cage volume. The purpose of this study is to compare design aspect of two types of mooring systems, i.e., spread and vertical configuration, by investigating selected parameters: mooring line tension, collar offset, and volume reduction. The mooring configuration and floating collar net cage are analysed through a numerical model based on Morison-force equations, under environmental condition adopted from Kangean field East Java. Load cases from collinearly in-line and between-line directions under extreme waves and current condition are checked against relevant safety factor. The dynamics analysis using the time domain simulation is based on 900 seconds cut-off according to its maximum wave elevation profile to generate the hydrodynamics forces to the mooring systems.
RANS CFD Model for Global Performance Evaluation of Floating Vessel in Extreme Head Waves
Authors: Ardhiansyah F , Prastianto R W , Djatmiko E B , Murdjito  
Published: July 2023

Abstract
Extreme waves acting on the floating vessel would cause serious physical behavior and could cause a catastrophic incident. Such phenomena should be put of high interest during the designing step of the floating vessel. The numerical CFD (Computational Fluid Dynamics) viscous fluid approach along with the recent development of computer hardware gives us advantages to simulate a huge number of scenarios in the very early design phase. The current study will explain the CFD method to investigate the global performance of stationer floating vessel Fn = 0 on its motion and green water occurrence due to extreme waves λ/L = 2.0. Based on the simulation results, the CFD model can handle well the green water on deck phenomenon during extreme head waves. The water on deck affected vessel pitch motion amplitude not symmetric under regular waves i.e. 8 degrees by stern and 6 degrees by bow. Similar results were also found in heave motion amplitude by the maximum +4 centimeter and minimum -12 centimeter. Those asymmetric results of heave & pitch motion amplitude under regular waves indicate the contribution of green water to the vessel motion. In addition, green water on deck only affects the motion amplitude but not the motion frequency.
Reassessment of Minimum Facilities Wellhead Platform due to Installation of Extension Compressors against Earthquake Loads
Authors: Bukhari M H , Prastianto R W , Syalsabila F 
Published: July 2023

Abstract
For increasing the production capacity of existing oil and gas wells, adding, or modifying the equipment with more sophisticated process equipment is necessary. One effort is by the addition of compressors such as on a minimum wellhead platform facility, which are installed on the top side of the platform. In addition to increasing the weight of the topside, which must be supported by the jacket, this installation makes the platform become more sensitive to seismic loads. This paper discusses the reassessment of the platform to determine the structural integrity due to the installation of the extension compressor to earthquake loads based on the API code RP 2A-WSD 22nd 2014 and RP 2SIM. Seismic analysis methods performed in this study include super element analysis, eigenvalue analysis, dynamic response analysis, earthquake analysis, post analysis, and single pile analysis. According to the code and company specifications, the analysis shows promising results in terms of the unity check, natural period, and displacement check, so the structural integrity is still acceptable for further operation.
Setting exciter to obtain output synchronous generator to be used in wind energy conversion system
Authors: Hadi B D , Musyafa A 
Published: July 2023

Abstract
Indonesia has well natural resource potential, one of which is the wind energy potential which can be utilized for electricity needs. However, the utilization of wind energy in Indonesia is still lacking. Therefore, it is necessary to have a system for utilizing wind energy with the aim of obtaining large electrical energy, one of which is the Wind Power Plant (PLTB) system. Synchronous generators have two important parts, namely the main generator (Alternator) and the exciter (Main Exciter). This exciter has a role as a trigger for the initial electricity generation to supply electricity to the main generator coil. The amount of electricity delivered to the main generator depends on the value of the magnetic flux in the generator exciter. The value of this magnetic flux depends on the amount of DC electric current flowing from the DC-DC Converter or Buck Converter. Therefore, a controller is needed to adjust the amount of electricity that enters the exciter. From the research that has been done, the optimal power at the rotational speed of the generator when the frequency is 50 Hz is 200.36 Watts with a generator voltage of 142.1 Volts and a duty cycle at 81.38%.
LiDAR DEM and HEC-RAS On-Grid Rainfall Hydrograph Model for Irrigation System
Authors: Ontowirjo B , Fathurrahman I , Ramadhan M V , Zahriani A , Zahra M , Wahyudi H 
Published: July 2023

Abstract
The capacity of the Saddang River Irrigation Canal will be increased by 30% to accommodate long-term irrigation discharge needs. Analysis of the hydraulic model of the irrigation and discharge channels is examined in this study. High resolution LiDAR Digital Elevation and HEC-RAS Model are used to estimate the flow depth and velocities in the event of rain with extreme intensity. HEC-RAS Model solves the 2-D depth-averaged St.Venant equations that are mainly used for river simulation. The HEC-RAS model uses on-grid precipitation hydrograph and flexible meshes that may contain arbitrarily quadrilateral and triangular cells. A hybrid mesh may achieve the best compromise between solution accuracy and computing demand. The HEC-RAS model solved variables include water surface elevation, water depth, depth averaged velocity, Froude number, and bed shear stress. The optimization of the model is useful for improving the drainage modulus, lining channel, drain time period and the performance of the irrigation and drainage channels.
Three-dimensional simulations of fluid flows in oscillating lid-driven cavities using lattice Boltzmann method
Authors: Bhopalam Sthavishtha R , Perumal D Arumuga , Yadav Ajay Kumar 
Published: July 2023

Abstract
We utilize the lattice Boltzmann method to conduct three-dimensional simulations of incompressible flows in oscillating cubic lid-driven cavities. Our investigation focuses on examining the impact of Reynolds number and oscillating frequency on the flow field. Notably, we observe that the flow field can be adequately approximated as two-dimensional within the low and intermediate Reynolds number range, but this approximation is no longer valid for high Reynolds numbers. Additionally, we find that high Reynolds numbers correspond to transient flow fields, while low and moderate Reynolds numbers exhibit quasi-steady periodic flow fields. Our study holds significant relevance for industrial processing applications, where the Reynolds numbers and oscillating frequencies can be optimized to achieve a desired flow field.
Electronic dispersion, correlations and stacking in the photoexcited state of 1T-TaS2
Authors: Dong Jingwei , Shin Dongbin , Pastor Ernest , Ritschel Tobias , Cario Laurent , Chen Zhesheng , Qi Weiyan , Grasset Romain , Marsi Marino , Taleb-Ibrahimi Amina , Park Noejung , Rubio Angel , Perfetti Luca , Papalazarou Evangelos 
Published: July 2023

Abstract
Here we perform angle and time-resolved photoelectron spectroscopy on the commensurate charge density wave (CDW) phase of 1T-TaS2. Data with different probe pulse polarization are employed to map the dispersion of electronic states below and above the chemical potential. Upon photoexcitation, the fluctuations of CDW order erase the band dispersion and squeeze the electronic states near to the chemical potential. This transient phase sets within half a period of the coherent lattice motion and is favored by strong electronic correlations. The experimental results are compared to density-functional theory calculations with a self-consistent evaluation of the Coulomb repulsion. Our simulations indicate that the screening of Coulomb repulsion depends on the stacking order of the TaS2 layers. The entanglement of such degrees of freedom suggest that both the structural order and electronic repulsion are locally modified by the photoinduced CDW fluctuations.
An environmentally friendly and high current efficiency acid mist inhibitor for zinc electrowinning
Authors: Ji Qi , Chen Bu-Ming , Gao Chao , Pan Ming-Xi , Huang Hui , Guo Zhong-Cheng , He Ya-Peng 
Published: July 2023

Abstract
Acid mist inhibitor is an effective additive for suppressing the generation of acid mist during electrowinning process. However, the traditional acid mist inhibitor has a low current efficiency, leading to high energy consumption. Thus, novel acid mist inhibitors are crucial for the development of the electrowinning industry. In this paper, three new acid mist inhibitors (Famigo® FS-101, Famigo® FS-301, and Famigo® FS-401) are used in zinc electrowinning process, while the mechanism of action in suppressing the generation of acid mist is characterized by the volume of bubble attached on the cathode surface and surface tension. The impacts of the concentration of the acid mist inhibitors on the bath voltage, current efficiency, power consumption, and electrochemical properties, as well as the enhancement mechanism on the current efficiency, are studied. The obtained results demonstrate that an adequate concentration of Famigo®FS-101, Famigo®FS-301, and Famigo®FS-401 allows to increase the cathode current efficiency and decrease the energy consumption, from 3219 kWh t−1 in zinc electrolyzer to 2948 kWh t−1, 3090 kWh t−1, and 2884 kWh t−1 using a concentration of 5 mg l−1 of Famigo®FS-101, Famigo®FS-301, and Famigo®FS-401, respectively. The proposed inhibitors have high acid mist inhibition efficiency and current efficiency in the zinc electrowinning process. Furthermore, if engineered, they may contribute to the development of the electroposition industry.
Intelligent real-time prediction of multi-region thrust of EPB shield machine based on SSA-LSTM
Authors: Zhang Wenshuai , Liu Xuanyu , Zhang Lingyu , Wang Yudong 
Published: July 2023

Abstract
During the tunneling process of shield machine, the accurate determination of tunneling parameters is the guarantee of safe operation of shield machine. Through the real-time construction data analysis and mining of shield machine, the tunneling parameters at the next moment are obtained in real-time. Based on this, this paper proposes an intelligent real-time prediction method for multi-region thrust of EPB shield machine based on Sparrow Search algorithm-Long and Short-term Memory (SSA-LSTM). By correlation analysis of the construction big data, the data features with a great correlation of shield machine thrust are obtained. And it is used as the input of LSTM prediction model to explore the nonlinear relationship between inputs and output. SSA is used to optimize LSTM prediction model to establish a more accurate nonlinear relationship, and then the multi-region thrust of shield machine at the next moment is accurately obtained. The simulation results show that SSA-LSTM model can accurately predict the thrust of each region of shield machine at the next moment, and the prediction performance is better than other models. The method provides a reference basis for shield machine to implement accurate thrust regulation and provides a guarantee for effective control of Earth pressure balance (EPB) in sealed cabin to ensure construction safety, which has engineering application value.
Network-augmented compartmental models to track asymptomatic disease spread
Authors: Dabke Devavrat Vivek , Karntikoon Kritkorn , Aluru Chaitanya , Singh Mona , Chazelle Bernard 
Published: July 2023

Abstract

Summary
A major challenge in understanding the spread of certain newly emerging viruses is the presence of asymptomatic cases. Their prevalence is hard to measure in the absence of testing tools, and yet the information is critical for tracking disease spread and shaping public health policies. Here, we introduce a framework that combines classic compartmental models with travel networks and we use it to estimate asymptomatic rates. Our platform, traSIR (“tracer”), is an augmented susceptible-infectious-recovered (SIR) model that incorporates multiple locations and the flow of people between them; it has a compartment model for each location and estimates of commuting traffic between compartments. TraSIR models both asymptomatic and symptomatic infections, as well as the dampening effect symptomatic infections have on traffic between locations. We derive analytical formulae to express the asymptomatic rate as a function of other key model parameters. Next, we use simulations to show that empirical data fitting yields excellent agreement with actual asymptomatic rates using only information about the number of symptomatic infections over time and compartments. Finally, we apply our model to COVID-19 data consisting of reported daily infections in the New York metropolitan area and estimate asymptomatic rates of COVID-19 to be ∼34%, which is within the 30–40% interval derived from widespread testing. Overall, our work demonstrates that traSIR is a powerful approach to express viral propagation dynamics over geographical networks and estimate key parameters relevant to virus transmission.

Availability and implementation
No public repository.
Generating interacting protein sequences using domain-to-domain translation
Authors: Meynard-Piganeau Barthelemy , Fabbri Caterina , Weigt Martin , Pagnani Andrea , Feinauer Christoph 
Published: July 2023

Abstract

Motivation
Being able to artificially design novel proteins of desired function is pivotal in many biological and biomedical applications. Generative statistical modeling has recently emerged as a new paradigm for designing amino acid sequences, including in particular models and embedding methods borrowed from natural language processing (NLP). However, most approaches target single proteins or protein domains, and do not take into account any functional specificity or interaction with the context. To extend beyond current computational strategies, we develop a method for generating protein domain sequences intended to interact with another protein domain. Using data from natural multidomain proteins, we cast the problem as a translation problem from a given interactor domain to the new domain to be generated, i.e. we generate artificial partner sequences conditional on an input sequence. We also show in an example that the same procedure can be applied to interactions between distinct proteins.

Results
Evaluating our model’s quality using diverse metrics, in part related to distinct biological questions, we show that our method outperforms state-of-the-art shallow autoregressive strategies. We also explore the possibility of fine-tuning pretrained large language models for the same task and of using Alphafold 2 for assessing the quality of sampled sequences.

Availability and implementation
Data and code on https://github.com/barthelemymp/Domain2DomainProteinTranslation.