Startseite Ion charge separation with new generation of nuclear emulsion films
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Ion charge separation with new generation of nuclear emulsion films

  • M.C. Montesi , A. Lauria , A. Alexandrov , L. Alunni Solestizi , Ambrosi Giovanni , S. Argirò , R. Arteche Diaz , N. Bartosik , G. Battistoni , N. Belcari , E. Bellinzona , S. Bianucci , S. Biondi , M.G. Bisogni , G. Bruni , N. Camarlinghi , P. Carra , P. Cerello , E. Ciarrocchi , A. Clozza , S. Colombi , A. Del Guerra , M. De Simoni , A. Di Crescenzo , M. Donetti , Y. Dong , M. Durante , A. Embriaco , M. Emde , R. Faccini , V. Ferrero , F. Ferroni , E. Fiandrini , C. Finck , E. Fiorina , M. Fischetti , M. Francesconi , M. Franchini , G. Galati , L. Galli , M. Garbini , V. Gentile , G. Giraudo , R. Hetzel , E. Iarocci , M. Ionica , K. Kanxheri , A. C. Kraan , V. Lante , C. La Tessa , E. Lopez Torres , M. Marafini , I. Mattei , A. Mengarelli , R. Mirabelli , A. Moggi , M.C. Morone , M. Morrocchi , S. Muraro , L. Narici , A. Pastore , N. Pastrone , V. Patera , F. Pennazio , P. Placidi , M. Pullia , F. Raffaelli , L. Ramello , R. Ridolfi , V. Rosso , M. Rovituso , C. Sanelli , A. Sarti , G. Sartorelli , O. Sato , S. Savazzi , L. Scavarda , A. Schiavi , C. Schuy , E. Scifoni , A. Sciubba , A. Sécher , M. Selvi , L. Servoli , G. Silvestre , M. Sitta , R. Spighi , E. Spiriti , G. Sportelli , A. Stahl , V. Tioukov , S. Tomassini , F. Tommasino , G. Traini , S.M. Valle , M. Vanstalle , M. Villa , U. Weber , A. Zoccoli und G. De Lellis
Veröffentlicht/Copyright: 28. Mai 2019
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Open Physics
Aus der Zeitschrift Open Physics Band 17 Heft 1

Abstract

In hadron therapy, the accelerated ions, interacting with the body of the patient, cause the fragmentation of both projectile and target nuclei. The fragments interact with the human tissues depositing energy both in the entrance channel and in the volume surrounding the tumor. The knowledge of the fragments features is crucial to determine the energy amount deposited in the human body, and - hence - the damage to the organs and to the tissues around the tumor target.

The FOOT (FragmentatiOn Of Target) experiment aims at studying the fragmentation induced by the interaction of a proton beam (150-250 MeV/n) inside the human body. The FOOT detector includes an electronic setup for the identification of Z ≥ 3 fragments integrated with an emulsion spectrometer to measure Z ≤ 3 fragments. Charge identification by nuclear emulsions is based on the development of techniques of controlled fading of the particle tracks inside the nuclear emulsion, that extend the dynamical range of the films developed for the tracking of minimum ionising particles. The controlled fading strongly depends on temperature, relative humidity and treatment duration.

In this study the performances in terms of charge separation of proton, helium and carbon particles, obtained on a batch of new emulsion films produced in Japan are reported.

Keywords: Charge identification; nuclear emulsions; charged particles therapy
PACS: 29.40.Rg; 42.62.Be

1 Introduction

Charged Particles Therapy (CPT) is an established therapy for the cancer treatment. Advantages of CPT with respect to the traditional X-rays therapy are due to their different ways to release energy passing through the human tissues. X-rays release energy along the whole path, while hadrons deliver most of their energy at the end of their path, in the Bragg peak [1]. In addition to that, hadron beams are characterised by an enhanced biological effectiveness. This is evaluated in terms of the Relative Biological Effectiveness (RBE), defined as the ratio of photon to charged particle dose producing the same biological effect. RBE value for protons is assessed around to 1.1 [2]. Recent radiobiological studies for proton beams show a considerable variation of this value (up to 1.7), in the volume surrounding the tumor [3], depending on many factors (dose, biological endpoints, Linear Energy Transfer, organs, patients variability). Different studies indicate that a significant contribution to the dose deposition is due to the nuclear fragmentation of the target nuclei of the human body [4], especially in the healthy tissues along the entrance channel [5]. Further investigations in order to better understand the dose contribution due to secondary fragments in healthy tissues is a relevant topic [6]. Very limited data are available in literature due to the complexity of dedicated experiments to be performed. Fragments produced by nuclear fragmentation of the target have low kinetic energy and thus sub-mm range confined in the target.

The FOOT experiment will study the target fragmentation induced by 150-250 MeV proton beams on human tissues through the inverse kinematic approach. It consists to invert the role of the beam and of the target with a Lorentz transformation measuring the cross sections of 12C and 16O that interact (with the same energy per nucleon) with a proton target. Instead of adopting un inconvenient low-density gaseous proton target, FOOT will take data with two different targets, a pure carbon (graphite) and a hydrogen enriched (C2H4) target [7]. The cross-section of 12C and 16O interactions with hydrogen are then obtained by a linear combination of the above measurements. The aim of the experiment is to measure the fragment production cross section with uncertainty better than 5% and the energy spectra with a resolution of about 1-2 MeV/n in the inverse kinematic frame. Moreover, it is designed to identify the charge of fragments with an accuracy of 2-3%, and to perform an isotopic identification up to 5%.

The FOOT detector consists of two different setup. The first one is made of a magnetic spectrometer, based on pixel and microstrip detectors (for momentum reconstruction), a plastic scintillator (to measure the energy loss dE/dx and the Time Of Flight (TOF)) and a calorimeter (to measure the kinetic energy) [8]. This electronic setup aims at measuring heavier fragments with Z≥ 3 and covers a polar angle inside ±10∘ with respect to the beam axis. Complementary to the electronic detector, a setup based on an emulsion spectrometer is used for the measurements of light fragments emitted at an angle up to about 70∘.

The identification of different charged particles was already achieved with the Emulsion Cloud Chamber (ECC) technique with OPERA-like films [9, 10, 11]. Nuclear emulsions allow the measurement of particle trajectories (emitted up to 80∘ [12]) with sub-micrometer spatial resolution [13]. It was demonstrated that a controlled fading of the emulsions in terms of different thermal treatments extends their response to a broader range, becoming sensitive to different charges [9].

The data presented in this work were obtained exposing nuclear emulsions to different beam nuclei such as protons, helium and carbons, at the kinetic energy of 80 MeV/n at Laboratori Nazionali del Sud (LNS, Catania, Italy). The aim of this work was to determine the optimal thermal treatment to separate protons from MIP (Minimum Ionizing Particles) and helium from protons and carbon ions with newly produced emulsion films.

2 Nuclear emulsions

A nuclear emulsion film (shown in Figure 1) consists of two 80 μm thick sensitive emulsion layers (made of a gel with interspersed AgBr crystals and called top and bottom layers, respectively) deposited on both sides of a plastic base, 180 μm thick. These films were produced at Nagoya University in June 2017 and are different from those produced in the OPERA experiment, hence the need for their characterisation in terms of controlled fading.

Figure 1 Scheme of a nuclear emulsion film of new generation. A sequence of aligned clusters in top and bottom layers of the emulsion form micro-tracks. Aligned top and bottom micro-tracks form base-tracks.
Figure 1

Scheme of a nuclear emulsion film of new generation. A sequence of aligned clusters in top and bottom layers of the emulsion form micro-tracks. Aligned top and bottom micro-tracks form base-tracks.

The passage of a charged particle through a nuclear emulsion impresses silver grains along its path giving raise to a latent image that after chemical process produces a chain of black silver grains. The silver grains along the particle trajectory are reconstructed by a fully automated optical microscope with sub-micrometric accuracy as clusters of pixels above threshold after the digitization of the grabbed images [14, 15]. A dedicated software recognizes aligned clusters of pixels on the two different emulsion layers producing a micro-track [16].

Two aligned micro-tracks in the two emulsion layers form a base-track. A sequence of aligned base-tracks in adjacent films defines a volume track. From the density of silver grains along the trajectory it is possible to measure the ionization of the incident particle. The reconstructed base-track has a micrometer accuracy of 0.3 μm in position and 1.2 mrad in angle [17].

The films were stored at 4∘C except during the exposure time. The sensitivity of these emulsion films, for particles at minimum of their ionizing power (MIP) observed as thin tracks, is about 50 grains/100 μm (higher than the OPERA films, 30 grains/100 μm) [11].

The grain density is proportional to the energy loss by primary ionization. For highly ionizing particles, a saturation effect occurs due to the limited range of the grain density, thus preventing the charge measurement. As an example, the image of a field of view taken at the optical microscope, showing the interaction of a carbon ion (left) and a proton (right), impinging perpendicularly to the emulsion surface, is reported Figure 2. While the proton particle appears as a single spot of few black pixels, the carbon one appears as larger black spot with several delta-rays nearby.

Figure 2 Tracks in emulsion generated by passing through carbons (left) and protons (right) impinging perpendicularly to the emulsion surface. In the left image delta rays emitted from the carbon interaction are also visible. View size is 300x300 μm2.
Figure 2

Tracks in emulsion generated by passing through carbons (left) and protons (right) impinging perpendicularly to the emulsion surface. In the left image delta rays emitted from the carbon interaction are also visible. View size is 300x300 μm2.

It is possible to extend the dynamical range of the emulsion response to heavier (Z>1) particles by keeping the emulsions for 24 hours for each treatment at a relatively high temperature (above 28∘C) and a high relative humidity (around 98%): a controlled fading is induced in order to partially or totally erase the tracks of the less ionizing particles [20], i.e. reducing the number of black pixels associated to the cluster. This thermal treatment was applied with the aim to optimize the temperature values for the new batch of films to be used in the framework of the FOOT experiment.

3 Methods

3.1 Film exposure and treatment

We assembled 40 emulsion films were assembled two by two (i.e. 20 doublets) under vacuum in the Emulsion Laboratory in Napoli, with a 100 μm thick and light-tight aluminum paper. The film surface has a size of 5.0 x 4.0 cm2. The doublets were exposed at LNS to H, 2H, 4He and 12C particles beam at 80MeV/n (five doublets for each particle beam). The exposure setup is shown in Figure 3. The beam flux and the beam spot size were set in a control room and they were monitored soon before the emulsion exposure by a silicon microstrip detector and by a CMOS sensor in the experimental room.

Figure 3 Scheme of the setup emulsion exposure at LNS.
Figure 3

Scheme of the setup emulsion exposure at LNS.

The emulsion surface was placed perpendicularly to the beam direction and the integrated flux was about 1000 nuclei/cm2, statistically sufficient for the purposes of presented study.

After the exposures the emulsions were carried to the Laboratori Nazionali del Gran Sasso (LNGS, Assergi - AQ) where thermal treatments (called refreshing, in the following indicated as R) were applied in a dedicated facility. All the films were treated at the relative humidity of 98%, at the following temperatures: T=28∘C (R1), T=34∘C (R2), T=36∘C (R3) and T=38∘C (R4). In Table 1, beam exposures and thermal treatments are summarized. A label Rn is given to each doublet.

Table 1

Scheme of emulsion exposures and thermal treatment conditions. Emulsion doublets were exposed at LNS (July 2017). All the thermal treatments and the developments were performed at LNGS.

Beam particle Beam Energy (MeV) Treatment Temperature (∘C) Thermal ID
H 80 no treatment R0
28 R1
34 R2
36 R3
38 R4
2H 80 no treatment R0
28 R1
34 R2
36 R3
38 R4
4He 80 no treatment R0
28 R1
34 R2
36 R3
38 R4
12C 80 no treatment R0
28 R1
34 R2
36 R3
38 R4

3.2 Analysis

After the thermal treatment, emulsions were chemically developed at LNGS and then brought to the Emulsion Laboratory in Napoli, where they were analyzed by fast automated microscopes operating at high speed (up to 190 cm2/hour) with tracking efficiency larger than 90% [17]. The automated system consists of a microscope equipped with a 3D motorized translation stage, a dedicated optical system and a CCD camera. The digitalization process converts aligned grains (∼40 grains in each emulsion layer for a MIP) in the particle track. The sum of all the pixels corresponding to the particle track is proportional, as the grain density, to the specific ionization, and hence to the square of the charge particle.

This sum (track volume) is the parameter we use for the charge separation of incident particles: it is measured in terms of number of pixels [16]. This parameter changes as a function of the treatment temperature, therefore it can be distinguish different ionizing particles (such as MIP, H, 4He and 12C) by an appropriate combination of the track volumes. Thermal treatment partially or totally erases the tracks of particles, according to the temperature values, thus mitigating the saturation effect. So, the track volumes (VR0, VR1, VR2, VR3 and VR4) for each thermal treatment (R0, R1, R2, R3 and R4, respectively) were measured. The track volumes were normalized with respect to the emulsion thickness.

The dedicated software, acquiring clusters of pixels, separates through a digital filtration process the background contribution (accidental specks) from the signal (cosmic rays and ionizing beam particles). Clusters are made of pixels. The operation to produce clusters passes through a filtering algorithm consisting of a matrix operation over each pixel value:

gi j = TrFTCi j

where gi j is the new pixel value (i, j), TrF is the trace of the filter matrix and TCi j is the tranposed matrix of the Ci j matrix. Ci j is composed of the pixel value (i, j) and the values of the surrounding pixels such that the value gi j of the pixel (i, j) is the central element of the matrix Cij [19]. The size and the values of the matrix F must be optimized according to the size of the cluster produced by the ionization particle. In case of miminum ionizing particles, such as cosmic rays, the optimal filter is a 5 × 5 matrix. Hence, large spots formed by highly ionizing particles (such as helium and carbon at 80 MeV/n) almost vanish after filtration, blending into the background of the image. For highly ionizing particles, gathering large clusters of pixels, the optimised filter is a 9 × 9 matrix.

In the FOOT experiment there are particles generating a wide ionization range, so the images acquired by microscope will undergo two different filtering processes. A 9×9 filter will be used for emulsions with no thermal treatment to separate MIP from other ions. A 5 × 5 filter will be adopted for emulsions with other thermal treatment. The merging of these two analyses, enables to estimate the ionization of each particle better.

The emulsions were exposed to cosmic rays from their production up to their chemical development (about one week). In order to minimize the integrated yield of cosmic rays, they were placed vertically during their storage and transportation. Signal and cosmic-rays can be distingueshed thanks to their different angle tracks, since beam tracks have slopes below 0.2 while cosmic-ray tracks extend well beyond. Denoting θx and θy the angular coordinates in the scanning system, signal tracks show tan ⁡ θ < 0.2 ( θ = θ x 2 + θ y 2 ) where θ = 0 corresponds to tracks perpendicular to the emulsion film.

4 Results

The tracks volume distribution obtained for films that did not undergo any thermal treatment (R0) is reported in Figure 4 for H, 2H and 12C beam (80 MeV/n), respectively. Different entries in the plots reflect the different integrated fluxes. The distributions are obtained applying the angular cut at tanθ<0.2 to suppress the cosmic rays contribution. Anyway a small contamination of cosmic rays is still present, as visible in all the plots. The cosmic rays particles are at the minimum of their ionizing power (MIP) and they correspond to the small gaussian distribution (peak around VR0∼30). The gaussian distribution at higher VR0 values is produced by ion particles. The values of the corresponding peaks do not allow any statistical separation ranging from protons to carbon.

Figure 4 Track volume distribution for emulsions films that did not undergo any thermal treatment (R0) and were exposed at H, 2H and 12C beams (80 MeV/n) at LNS. The VR0 variable is measured in terms of number of pixels. The small peak on the left is due to the cosmic rays visible as MIP. The major peak is due to ion particles and a gaussian fit is superimposed to their experimental data.
Figure 4

Track volume distribution for emulsions films that did not undergo any thermal treatment (R0) and were exposed at H, 2H and 12C beams (80 MeV/n) at LNS. The VR0 variable is measured in terms of number of pixels. The small peak on the left is due to the cosmic rays visible as MIP. The major peak is due to ion particles and a gaussian fit is superimposed to their experimental data.

The analysis of the emulsions underwent to the thermal treatment at 28∘C (VR1) shows that H, 2H and MIP are completely erased, and only the tracks due to 4He and 12C particles are still present, as shown in Figure 5, where the track volume distributions for 4He and 12C particles are reported. The variable VR1 shows a clear separation between 4He and 12C with 5.3 standard deviations.

Figure 5 The distribution of 4He (red curve) and 12C (green curve) in terms of VR1 (corresponding to the number of pixels in the track volume).
Figure 5

The distribution of 4He (red curve) and 12C (green curve) in terms of VR1 (corresponding to the number of pixels in the track volume).

By analysing the plot in Figure 5, we quote the resolution on charge measurement for 4He and 12C to be about 5%. The scatter plot of VR1 vs VR2 is shown for 4He and 12C in Figure 6. We clearly see two populations, corresponding to the two differentions.

Figure 6 Scatter plot of VR1 versus VR2 for 4He (red) and 12C (green). The VR1 and VR2 variables are measured in terms of number of pixels.
Figure 6

Scatter plot of VR1 versus VR2 for 4He (red) and 12C (green). The VR1 and VR2 variables are measured in terms of number of pixels.

By projecting the distributions onto the axis passing through the two peak centres, the variable VR12 is obtained, as shown in Figure 7. By using this variable, 4He and 12C are separated with 6.9 σ significance.

Figure 7 The distribution of 4He (red) and 12C (green) in terms of VR12.
Figure 7

The distribution of 4He (red) and 12C (green) in terms of VR12.

Concerning the results obtained with higher temperature at 36∘C and 38∘C, corresponding respectively to R3 and R4 thermal treatments, a high erasing rate was observed determining a poor tracking efficiency. For this reason, the optimal temperature for the separation between 4He and 12C is 34∘C was assessed.

5 Conclusions

We exposed twenty emulsion doublets to H, 2H, 4He and 12C particles (80 MeV/n) at LNS. Emulsions underwent thermal treatments at different temperatures to achieve an optimal erasing rate for different ions with a new batch of emulsion films to be used for the spectrometer of the FOOT experiment.

By analysing the emulsions with newly developed fast scanning systems, particles according to their track volume by applying different thermal treatments were characterised. The films without any thermal treatment (R0) allow a separation better than 3 σ between MIP and ions (H, 2H, 4He and 12C). The low temperature refreshing treatment (R1) makes possible to separate H from 4He and 12C by erasing H tracks. Moreover the separation between 4He and 12C is also achieved, with 5.3 σ significance. A further increasing of the thermal treatment temperature (up to 34∘C, R2 treatment) allows to improve the separation between 4He and 12C up to 6.9 σ significance.

The R2 thermal treatment is already sufficient to obtain a good separation between the different Z ions without excessive signal cancellation. Indeed, the authors decided not to use the thermal treatments at 36∘C (R3) and 38∘C (R4) causing a further erasing of the signal tracks without improving the ions separation. This result demonstrates that the thermal treatment applied to this new batch of emulsion films allows extending their dynamical range and separating ions with high statistical significance. It is worth noting that the results reported in this work are obtained by a single layer emulsion detector, while the emulsion spectrometer of FOOT will use at least 9 films of each type. Therefore we expected to improve the resolution in the charge measurement and in the charge separation by a factor of 3. In the fragmentation studies of the FOOT experiment, lighter fragments will not be mono-energetic and the momentum spread will worsen the separation. These two effects partially compensate each other. Nevertheless, the separation achieved by the technique applied in this paper is certainly adequate to guarantee the performance required by the FOOT experiment.

Acknowledgement

We thank LNS for the successful operation in their facility during the data taking.

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Received: 2018-12-12
Accepted: 2019-02-06
Published Online: 2019-05-28

© 2019 M.C. Montesi et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  68. Special issue: XXVth Symposium on Electromagnetic Phenomena in Nonlinear Circuits (EPNC2018)
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  75. Principal Component Analysis based on data characteristics for dimensionality reduction of ECG recordings in arrhythmia classification
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  78. Heuristic based real-time hybrid rendering with the use of rasterization and ray tracing method
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  80. The use of segmented-shifted grain-oriented sheets in magnetic circuits of small AC motors
  81. High Temperature Permanent Magnet Synchronous Machine Analysis of Thermal Field
  82. Inverse approach for concentrated winding surface permanent magnet synchronous machines noiseless design
  83. An enameled wire with a semi-conductive layer: A solution for a better distibution of the voltage stresses in motor windings
  84. High temperature machines: topologies and preliminary design
  85. Aging monitoring of electrical machines using winding high frequency equivalent circuits
  86. Design of inorganic coils for high temperature electrical machines
  87. A New Concept for Deeper Integration of Converters and Drives in Electrical Machines: Simulation and Experimental Investigations
  88. Special Issue on Energetic Materials and Processes
  89. Investigations into the mechanisms of electrohydrodynamic instability in free surface electrospinning
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  92. Crystallization of Nano-TiO2 Films based on Glass Fiber Fabric Substrate and Its Impact on Catalytic Performance
  93. Effect of Adding Rare Earth Elements Er and Gd on the Corrosion Residual Strength of Magnesium Alloy
  94. Closed-die Forging Technology and Numerical Simulation of Aluminum Alloy Connecting Rod
  95. Numerical Simulation and Experimental Research on Material Parameters Solution and Shape Control of Sandwich Panels with Aluminum Honeycomb
  96. Research and Analysis of the Effect of Heat Treatment on Damping Properties of Ductile Iron
  97. Effect of austenitising heat treatment on microstructure and properties of a nitrogen bearing martensitic stainless steel
  98. Special Issue on Fundamental Physics of Thermal Transports and Energy Conversions
  99. Numerical simulation of welding distortions in large structures with a simplified engineering approach
  100. Investigation on the effect of electrode tip on formation of metal droplets and temperature profile in a vibrating electrode electroslag remelting process
  101. Effect of North Wall Materials on the Thermal Environment in Chinese Solar Greenhouse (Part A: Experimental Researches)
  102. Three-dimensional optimal design of a cooled turbine considering the coolant-requirement change
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  105. Wetting properties and performance of modified composite collectors in a membrane-based wet electrostatic precipitator
  106. Implementation of the Semi Empirical Kinetic Soot Model Within Chemistry Tabulation Framework for Efficient Emissions Predictions in Diesel Engines
  107. Comparison and analyses of two thermal performance evaluation models for a public building
  108. A Novel Evaluation Method For Particle Deposition Measurement
  109. Effect of the two-phase hybrid mode of effervescent atomizer on the atomization characteristics
  110. Erratum
  111. Integrability analysis of the partial differential equation describing the classical bond-pricing model of mathematical finance
  112. Erratum to: Energy converting layers for thin-film flexible photovoltaic structures
https://doi.org/10.1515/phys-2019-0024
Schlagwörter für diesen Artikel
Charge identification; nuclear emulsions; charged particles therapy
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  61. Parametric model updating with frequency and MAC combined objective function of port crane structure based on operational modal analysis
  62. Evacuation simulation of different flow ratios in low-density state
  63. A pointer location algorithm for computer visionbased automatic reading recognition of pointer gauges
  64. A cloud computing separation model based on information flow
  65. Optimizing model and algorithm for railway freight loading problem
  66. Denoising data acquisition algorithm for array pixelated CdZnTe nuclear detector
  67. Radiation effects of nuclear physics rays on hepatoma cells
  68. Special issue: XXVth Symposium on Electromagnetic Phenomena in Nonlinear Circuits (EPNC2018)
  69. A study on numerical integration methods for rendering atmospheric scattering phenomenon
  70. Wave propagation time optimization for geodesic distances calculation using the Heat Method
  71. Analysis of electricity generation efficiency in photovoltaic building systems made of HIT-IBC cells for multi-family residential buildings
  72. A structural quality evaluation model for three-dimensional simulations
  73. WiFi Electromagnetic Field Modelling for Indoor Localization
  74. Modeling Human Pupil Dilation to Decouple the Pupillary Light Reflex
  75. Principal Component Analysis based on data characteristics for dimensionality reduction of ECG recordings in arrhythmia classification
  76. Blinking Extraction in Eye gaze System for Stereoscopy Movies
  77. Optimization of screen-space directional occlusion algorithms
  78. Heuristic based real-time hybrid rendering with the use of rasterization and ray tracing method
  79. Review of muscle modelling methods from the point of view of motion biomechanics with particular emphasis on the shoulder
  80. The use of segmented-shifted grain-oriented sheets in magnetic circuits of small AC motors
  81. High Temperature Permanent Magnet Synchronous Machine Analysis of Thermal Field
  82. Inverse approach for concentrated winding surface permanent magnet synchronous machines noiseless design
  83. An enameled wire with a semi-conductive layer: A solution for a better distibution of the voltage stresses in motor windings
  84. High temperature machines: topologies and preliminary design
  85. Aging monitoring of electrical machines using winding high frequency equivalent circuits
  86. Design of inorganic coils for high temperature electrical machines
  87. A New Concept for Deeper Integration of Converters and Drives in Electrical Machines: Simulation and Experimental Investigations
  88. Special Issue on Energetic Materials and Processes
  89. Investigations into the mechanisms of electrohydrodynamic instability in free surface electrospinning
  90. Effect of Pressure Distribution on the Energy Dissipation of Lap Joints under Equal Pre-tension Force
  91. Research on microstructure and forming mechanism of TiC/1Cr12Ni3Mo2V composite based on laser solid forming
  92. Crystallization of Nano-TiO2 Films based on Glass Fiber Fabric Substrate and Its Impact on Catalytic Performance
  93. Effect of Adding Rare Earth Elements Er and Gd on the Corrosion Residual Strength of Magnesium Alloy
  94. Closed-die Forging Technology and Numerical Simulation of Aluminum Alloy Connecting Rod
  95. Numerical Simulation and Experimental Research on Material Parameters Solution and Shape Control of Sandwich Panels with Aluminum Honeycomb
  96. Research and Analysis of the Effect of Heat Treatment on Damping Properties of Ductile Iron
  97. Effect of austenitising heat treatment on microstructure and properties of a nitrogen bearing martensitic stainless steel
  98. Special Issue on Fundamental Physics of Thermal Transports and Energy Conversions
  99. Numerical simulation of welding distortions in large structures with a simplified engineering approach
  100. Investigation on the effect of electrode tip on formation of metal droplets and temperature profile in a vibrating electrode electroslag remelting process
  101. Effect of North Wall Materials on the Thermal Environment in Chinese Solar Greenhouse (Part A: Experimental Researches)
  102. Three-dimensional optimal design of a cooled turbine considering the coolant-requirement change
  103. Theoretical analysis of particle size re-distribution due to Ostwald ripening in the fuel cell catalyst layer
  104. Effect of phase change materials on heat dissipation of a multiple heat source system
  105. Wetting properties and performance of modified composite collectors in a membrane-based wet electrostatic precipitator
  106. Implementation of the Semi Empirical Kinetic Soot Model Within Chemistry Tabulation Framework for Efficient Emissions Predictions in Diesel Engines
  107. Comparison and analyses of two thermal performance evaluation models for a public building
  108. A Novel Evaluation Method For Particle Deposition Measurement
  109. Effect of the two-phase hybrid mode of effervescent atomizer on the atomization characteristics
  110. Erratum
  111. Integrability analysis of the partial differential equation describing the classical bond-pricing model of mathematical finance
  112. Erratum to: Energy converting layers for thin-film flexible photovoltaic structures
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