Minimum Intensity Research Articles

Real-time three-dimensional monitoring and analysis of perovskite solar cell using short wavelength infrared digital holography

The quality and crystallization process of all-inorganic perovskite films play a crucial role in the performance of solar cells. However, traditional detection methods lack three-dimensional depth information and real-time capabilities, hindered by strong visible light absorption, posing challenges to research. Here, a simple digital holography technique is proposed that offers real-time, nondestructive, three-dimensional phase imaging with low absorption characteristics in the short-wave infrared range. The use of short-wave infrared reduces the negative impact of visible light and vibrations in the environment on detection accuracy, while being nearly non-absorbing. The proposed method operates at a speed of 15 Hz, combining a lensless vertical structure, holographic reconstruction algorithm, and phase unwrapping algorithm to achieve real-time three-dimensional observation without image distortion and with low noise of the crystallization process of CsPbBr3 perovskite quantum dots (PQDs)/ethylene-vinyl acetate solution, which crystallizes in 39 s. Subsequently, employing minimum bounding rectangle, field stitching, intensity registration, and sub-pixel level calibration algorithms, real-time characterization is performed on the large-sized droplet of polymethyl methacrylate-matrix-encapsulated CsPbBr3 perovskite quantum dots, which has a crystallization time of 1285 s, without being limited by the field of view. Finally, using this system, the surface quality of the film is assessed, revealing fluctuations at the edge and fabrication defects of the perovskite film. Experimental results demonstrate the potential of short-wave infrared digital holography in enhancing the film formation process and quality inspection. By leveraging this technology, advancements in the development of high-performance all-inorganic perovskite solar cells can be fostered, optimizing global energy output.

Improving Electrical Stimulation Effectiveness and Versatility for Non-Invasive Transdermal Monitoring Applications via an Innovative Mixed-Signal Electronic Interface

Electrical stimulation can be used in several applications such as fatigue reduction, muscle rehabilitation, neurorehabilitation, neuro-prosthesis and pain relief. Moreover, electrical stimulation can be used for drug delivery applications or body fluids extraction (e.g., sweat and interstitial fluid) to successively monitor several parameters, such as glucose, lactate, etc. All these applications are performed using electrical stimulator devices capable of applying constant voltage pulses or constant current pulses via electrodes to human tissues. Usually, constant current stimulators are most widely used because of their safety, stability, and repeatability. Thus, the aim of this work was to design, realize and test a mixed-signal electronic interface capable of producing current pulses with custom amplitude, duration, frequency, polarity and symmetry with extended voltage compliance. To achieve this result, we developed a high-voltage current stimulator suitable for iontophoresis applications. Current stimuli can be applied setting the intensity, frequency and duty cycle of the stimulation patterns through a µC. A custom electronic interface was designed to allow the control of the injected current in real time and to prevent electrical injuries to the patient by avoiding potential unwanted short circuits. Moreover, the system was tested in a simulated environment demonstrating its effectiveness and applicability for transdermal monitoring applications. The obtained results show that the device is able to apply monophasic and biphasic pulses, ranging from 0.1 to 10 mA, with a maximum error of about 10% at the minimum intensity; in addition, current stimuli can be applied up to a maximum frequency of 100 kHz with a voltage compliance of 120 V.

Stabilizing nanoparticles in the intensity minimum: feedback levitation on an inverted potential

We demonstrate the stable trapping of a levitated nanoparticle at the apex of an inverted potential using a combination of optical readout and electrostatic control. The feedback levitation on an inverted potential (FLIP) method stabilizes the particle at an intensity minimum. By using a Kalman-filter-based linear-quadratic-Gaussian (LQG) control method, we confine a particle to within σ x =9±0.5nm of the potential maximum at an effective temperature of 16(1) K in a room-temperature environment. Despite drifts in the absolute position of the potential maximum, we can keep the nanoparticle at the apex by estimating the drift from the particle dynamics using the Kalman filter. Our approach may enable new levitation-based sensing schemes with enhanced bandwidth. It also paves the way for optical levitation at zero intensity of an optical potential, which alleviates decoherence effects due to material-dependent absorption and is hence relevant for macroscopic quantum experiments.

Automated Grayscale Modulation to Enhance Digital Light Processing Fabrication Accuracy by Correcting Non-uniform Illumination

Abstract In this study, we addressed the challenge of non-uniform illumination in custom Digital Light Processing (DLP) systems, often caused by imperfections in the Digital Micromirror Device (DMD) or misalignments in the optical assembly. These issues lead to dimensional inconsistencies across the fabrication area. To overcome this, we developed an automated system for generating a “grayscale” mask that compensates for non-uniform illumination. This system serves as a pre-printing calibration procedure, enhancing the precision of 3D printed features. Our approach involves dividing the fabrication area into a mesh grid where in-situ light intensities are measured. The system then calculates and acquires grayscale values that correspond to the minimum light intensity, thereby creating a grayscale mask that levels light distribution across the printing area. Additionally, we outline a method to generate grayscale masks for various LED Excitation Powers (LEPs) based on initial data from three predefined powers. We evaluated the effectiveness of this method by comparing features printed with standard “full white” images to those adjusted with our grayscale-modulated images. The results show significant enhancements in both uniformity and dimensional accuracy, confirming the efficacy of our approach. This study demonstrates the potential of grayscale modulation to resolve illumination issue in DLP manufacturing to ensure higher precision in printed features.

INNV-26. FEASIBILITY EVALUATION OF TUMOR TREATING FIELDS (TTFIELDS) THERAPY FOR BRAINSTEM GLIOMAS

Abstract BACKGROUND Tumor Treating Fields (TTFields) therapy is a novel anti-mitotic therapy that is FDA-approved for use in patients with newly diagnosed and recurrent glioblastoma (GBM). However, TTFields therapy is currently only approved for supratentorial GBM, and the feasibility of TTFields therapy for treating infratentorial GBM remains unknown. TTFields values of average local minimum power density (LMiPD) >1.15 mW/cm3 and local minimum field intensity (LMiFI) >1.06 V/cm, were associated with improved OS and PFS based on a posthoc analysis of the EF-14 study. This is a dosimetric planning evaluation of the feasibility of TTFields therapy for brainstem gliomas. METHODS MRIs of patients with brainstem gliomas were used for this dosimetric evaluation, with planning conducted using MAXPOINT (Novocure, Switzerland). Gross tumor volume (GTV) for TTFields planning was defined as enhancing tumor on T1 post contrast MRI. Clinical target volume (CTV) was defined as GTV expanded by a 3 mm margin around sum total of resection cavity, necrotic core, and enhancing tumor. LMiPD and LMiFI to the GTV and CTV were evaluated. RESULTS A total of 5 patients with brainstem gliomas were included in this study. The median GTV volume was 8.2 cc (range: 3.8 – 13.5 cc), and median CTV volume was 18.6 cc (range: 9.1 – 23.4 cc). The median LMiPD for GTV and CTV were 1.9 (range: 1.1 – 2) and 1.9 (range: 1-2.1) mW/cm3, respectively. The median LMiFI for GTV and CTV were 1.3 (range: 1.1-1.6) and 1.2 (range: 1.1-1.6) V/cm, respectively. CONCLUSION LMiPD and LMiFI values for brainstem gliomas achieved levels that are consistent with those associated with improved OS and PFS in posthoc analyses in supratentorial GBM. This dosimetric planning study suggests feasibility and theoretical benefit of TTFields for brainstem gliomas. Further clinical evaluation is warranted to validate its efficacy.

INNV-11. DELIVERY OF TTFIELDS TO THE INFRATENTORIAL BRAIN USING HFE ARRAYS

Abstract INTRODUCTION Tumor Treating Fields (TTFields) therapy is a noninvasive, locoregional treatment comprising alternating electric fields delivered to the tumor via two pairs of skin-placed transducer arrays. TTFields physically disrupt cancer cell viability through a multimodal mechanism that includes antimitotic and antitumor immune effects. TTFields therapy is FDA-approved for glioblastoma (GBM) and CE marked for WHO grade 4 glioma. While clinically approved array layouts for GBM target supratentorial tumors, TTFields distribution depends on the arrays’ locations and dedicated layouts are needed to target infratentorial tumors. To increase patient comfort, Novocure developed HFE arrays that are thinner and lighter than existing INE arrays. Here, we evaluate innovative HFE array layouts for TTFields delivery to infratentorial tumors at therapeutic intensities (~1 V/cm). METHODS TTFields delivery was simulated using Sim4Life v6.2 in a male computational model. 32 layouts of HFE arrays were placed on the model’s scalp, neck, and scapulae, with one placed at a standard cerebral location. Local Average Field Intensity (LAFI) and Local Minimum Power Density (LMiPD) were calculated in the cerebrum, cerebellum and brainstem. RESULTS Standard cerebral layout provided LAFI of 2.47 V/cm to the cerebrum, while providing 1.50 and 1.10 V/cm to the cerebellum and brainstem, respectively (LMiPD 2.22, 1.34 and 0.64 mW/cm3). Layouts comprising arrays on the scapulae (right and left) paired in cross configuration with arrays on either the temples or forehead, provided LAFI of 1.87-2.17 V/cm (LMiPD 1.05-2.20 mW/cm3) to the cerebrum, while providing 1.64-2.13 V/cm (LMiPD 1.77-2.26 mW/cm3) to the cerebellum and 1.74-1.89 V/cm (LMiPD 2.28-2.89 mW/cm3) to the brainstem. CONCLUSION Lower array placement provides higher levels of field intensity in the cerebellum and brainstem versus standard cerebral layout, while still providing adequate field intensity to the cerebrum. This simulation-based study suggests feasibility of delivering therapeutic TTFields intensities to infratentorial tumors using dedicated HFE array layouts.

Effects of Bio-Agents and Selected Botanicals on Alternaria Leaf Spot Caused by Alternaria alternata (Fr.) Keissler in Broccoli (Brassica oleracea var. italica L.)

A field experiment was conducted at the research plot of the Department of Plant Pathology, SHUATS, Prayagraj, Uttar Pradesh in Rabi season of 2023 to evaluate eight treatments viz., T1– (Pseudomonas fluorescens (S.T) @ 2%, T2– Trichoderma viride (S.T) @ 2%, T3– Pseudomonas fluorescens (S.T) @ 2% + Ocimum sanctum (F.S) @ 10 %, T4- Trichoderma viride (S.T) @ 2 % + Allium sativum (F.S) @10%, T5– Trichoderma viride (S.T) @ 2% + Ocimum sanctum (F.S) @ 10%, T6 - Pseudomonas fluorescens (S.T) @ 2% + Allium sativum (F.S) @ 10 %, T7 – Carbendazim @ 0.1% (F.S) (treated control) and control T0 (untreated control) with three replications in Randomized Block Design (RBD) for management of alternaria leaf spot of broccoli. Study on disease intensity of alternaria leaf spot of broccoli in field conditions revealed that the Minimum percent disease intensity (%) was recorded in T4 – 28.17% Trichoderma viride @ 2% (S.T) combined with Allium sativum @ 10% (F.S) as compared with the untreated control T0 – 38.31 % and treated check T7 – 24.42 % (Carbendazim @ 0.1% (F.S). PDI recorded in broccoli with maximum cost benefit ratio per treatment was recorded 1:1.915 in T4 - Trichoderma viride @ 2% (S.T) combined with Allium sativum @ 10% (F.S) in broccoli.

Evaluation of Phyto-extracts for the Management of Alternaria Leaf Blight of Cluster Bean (Cyamopsidis tetragonoloba L.) Caused by Alternaria cucumerina

The present study was carried out to evaluate the effect of selected phyto-extracts for the management of alternaria leaf blight of cluster bean (Cyamopsidis tetragonoloba L.) caused by Alternaria cucumerina under field conditions. Three replications of cluster bean were planted in a randomized block design at the research plot of the Central Research Field, Department of Plant Pathology, SHUATS, Prayagraj during Zaid season of 2023. Ginger rhizome extract @ 10%, onion bulb extract @ 10%, eucalyptus leaf extract @ 10%, neem leaf extract @ 10%, garlic clove extract @ 10% and mancozeb 0.2% were applied as foliar spray. All the treatments were found significantly reduced the disease severity and increased the yield. Among all the treatments garlic clove extract @ 10% was recorded minimum disease intensity (29.63) and maximum yield (2.50 t/ha). Neem leaf extract @ 10% was recorded maximum cost benefit ratio (1: 1.80), as compared to treated mancozeb @ 0.2%(treated) and T0 control.

Optical manipulation of magnetic microspheres Enables high-sensitivity Fiber-optic magnetic field sensors

This study uses single-fiber optical tweezers to capture non-uniform magnetic particles, producing a novel type of magnetic field sensor for implementing the measurement of external magnetic field changes. A tapered fiber optic probe is used to capture magnetic particles as a sensing probe, constituting an Fabry–Pérot (F-P) interferometric structure. When an external magnetic field is applied, the magnetic particles at the tip of the optical fiber are deflected, affecting the length change of the interference cavity. By reconstructing the axial displacement of the particles, the accurate measurement of the magnetic field within the range of 1–10 mT is successfully realized with a sensitivity of 258 nm/mT. The minimum detectable intensity is 1.44 nT/Hz. This method offers a feasible and effective solution for the realization of magnetic field measurements by using the capture of non-uniform magnetic particles, which can play an important role in the fields of medicine and biology.

Prognostic nomogram model based on quantitative metrics of subregions surrounding residual cavity in glioblastoma patients

BackgroundThe hyperintensity area surrounding the residual cavity on postoperative fluid-attenuated inversion recovery (FLAIR) image is a potential site for glioblastoma (GBM) recurrence. This study aimed to develop a nomogram using quantitative metrics from subregions of this area, prior to chemoradiotherapy (CRT), to predict early GBM recurrence.MethodsAdult patients with GBM diagnosed between October 2018 and October 2022 were retrospectively analyzed. Quantitative metrics, including the mean, maximum, minimum, median values, and standard deviation of FLAIR signal intensity (SI) (measured using 3D-Slicer software), were extracted from the following subregions surrounding the residual cavity on post-contrast T1-weighted (CE-T1WI)-FLAIR fusion images: the enhancing region (ER), non-enhancing region (NER), and combined ER + NER. Independent prognostic factors were identified using Cox regression and least absolute shrinkage and selection operator (LASSO) analyses and were incorporated into the prediction nomogram model. The model’s performance was evaluated using the C-index, calibration curves, and decision curves.ResultsA total of 129 adult GBM patients were enrolled and randomly assigned to a training (n = 90) and a validation cohorts (n = 39) in a 7:3 ratio. Sixty-nine patients experienced postoperative recurrence. Cox regression analysis identified subventricular zone involvement, the median FLAIR intensity in the ER, the rFLAIR (relative FLAIR intensity compared to the contralateral normal region) of ER + NER, and corpus callosum involvement as independent prognostic factors. For predicting recurrence within 1 year after surgery, the nomogram model had a C-index of 0.733 in the training cohort and 0.746 in the validation cohort. Based on the nomogram score, post-operative GBM patients could be stratified into high- and low-risk for recurrence.ConclusionsNomogram models which based on quantitative metrics from FLAIR hyperintensity subregions may serve as potential markers for assessing GBM recurrence risk. This approach could enhance clinical decision-making and provide an alternative method for recurrence estimation in GBM patients.

Electrokinetically propelled digital pendulum for seismic alert

An Electrostatic Induction Pendulum (EIP) has been designed and developed for the first time in the innovative construction and maintenance of earthquake prewarning systems to address the existed issues of massive funding required, incomplete distribution even as well as the lack of coverage in remote or sparsely populated areas. This innovative EIP includes a pendulum and a static-electricity induced sensor which could detect subtle variations in electrical potential during motion. The sensor offers crucial insights into the vibration, damping, and resonance traits of the EIP, with the minimum detectable vibration intensity of 0.17 m/s2. Simultaneously, by introducing external vibrations varied with frequencies, the inherent frequency of the EIP can correspondingly be modified subtly leading energy distribution to be weakened, which lay a groundwork for earthquake monitoring and early warning. Furthermore, an earthquake monitoring and early warning system aided by EIP, data acquisition module, and machine learning is engineered for real-time analysis and decision-making. Once an earthquake occurs, the system automatically sends alerts to relevant departments or individuals to take protective measures in advance. This cost-effective, easily portable, and widely distributed earthquake monitoring solution complements existing systems and can be easily deployed even in remote areas.

Optimization of the Parameters and Operating Modes of the Mixer for Producing the Mixture of Protein-mineral-vitamin Additives

The results of experimental studies of the proposed paddle mixer for preliminary preparation of the mixture of proteinmineralvitamin additives showed the dependance of the quality of the mixture and the energy intensity of mixing on the angle of the blades, the peripheral speed at the edge of the blade and the mixing time. The optimal parameters and operating modes of the mixer were established to achieve the coefficient of non-uniformity of the mixture corresponding to zootechnical requirements (Vc ≤ 10%) and a minimum energy intensity of mixing.

Effect of Neem Oil in Combination with Propiconazole and Organic Amendments on Anthracnose (Colletotrichum lindemuthianum) of Cowpea (Vigna unguiculata L.)

The cowpea (Vigna unguiculata) is an annual herbaceous legume from the genus Vigna. Anthracnoses (Colletotrichum lindemuthianum) is a serious disease in cowpea growing areas and occurs as pre-harvest as well as post-harvest brown to black spots appear on the leaves. Neem oil at different concentrations (0.5%, 1%,1.5%, and 2%) along with Propiconazole were tested @ 0.1% in vivo during Kharif 2023 for their efficacy against disease incidence, plant growth and yield parameters of Cowpea at the Central Research Field of the Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj. The results of the present investigation revealed that it significantly reduced the disease incidence. Among the treatments the minimum disease intensity (%) at 75 DAS was recorded in T5 – Neem oil (2 ml/L) + Propiconazole 25 EC (0.1%) + VC@10gm/kg +SMC@10gm/kg (Foliar spray) was found to be significantly most effective treatment against Anthracnose (Colletotrichum lindemuthianum) on Cowpea and recorded minimum disease intensity (%) at 30, 45, 60 and 75 DAS, maximum plant height (cm), maximum number of branches, maximum yield (t/ha) and highest B:C ratio. The findings of the present experiment are limited to one crop season under Prayagraj agro-climatic conditions, as such to validate the present findings; more such experiments should be carried out in the future.

Tight focusing of terahertz vortex beams formed by laser dielectric resonator

Wave characteristics of vortex laser beams during their tight focusing have been theoretically studied. The Rayleigh–Sommerfeld theory was used to describe propagation in free space of laser beams excited by the modes of a waveguide dielectric resonator. It is shown that at the topological charge of the spiral phase plate n = 0, the studied EH11 mode has a maximum of radiation intensity on the axis. Introduction of a topological charge leads to the appearance of a minimum of radiation intensity on the axis as well as to the increase in the size of the focal spot. However, for the TE01 mode with the topological charges n = 0 and n = 2, the intensity distribution retains a ring shape, while at n = 1 the beam profile turns into the Gaussian-like one. The wave front in the focal region of the lens for the components of the EH11 and TE01 modes transforms from spherical to spiral one with increasing the topological charge.

Evaluation of Phyto Extracts for the Management of Alternaria Leaf Spot of Black Gram (Vigna mungo L.) Caused by Alternaria alternata (Fr.) Keissler

The present study was carried out to evaluate the effect of selected phyto-extracts for the management of alternaria leaf spot on black gram caused by Alternaria alternata (Fr.) Keissler, under field conditions. Three replications of black gram were planted in a randomized block design. At the research plot of the Central Research Field, Department of Plant Pathology, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj during Zaid season of 2023. Neem leaf extract, onion bulb extract, ginger rhizome extract, garlic clove extract, ashoka leaf extract and Mancozeb were applied as foliar spray. All the treatments were found significantly reduced the disease severity and increased the yield. Among all the treatments garlic clove extract @ 10% was recorded minimum disease intensity (25.62) and maximum yield (7.45 q/ha) and cost benefit ratio (1: 2.54), as compared to treated check mancozeb @ 0.2% and untreated check control.

Is an all-phase ITV (internal target volume) a gold standard in the target definition of hepatocellular carcinoma?

Stereotactic ablative body radiation (SABR) is a well-recognized treatment option for hepatocellular carcinoma (HCC). Due to the inherent motion of liver tumors, effective motion management is crucial for successful SABR. In the motion-encompassing motion management technique, all 10 respiratory phase image datasets are delineated and designated as the internal target volume (ITV). Some treatment centers use single or combination image sets to delineate the target volume. This study determines which specialty image set most closely matches an all-phase ITV contour on a synchronized contrast-enhanced 4DCT. Synchronized 4DCT contrast and delayed scans were acquired for 10 patients in the study. The maximum intensity projection (MiP), average intensity projection (AvgIP), and minimum intensity projection (MinIP) images were generated. The ITV delineation was done in all 10 phases (ITV_all_phase). The ITV_2phase combines the peak inhale and exhale phase, ITV_2M combines MiP and MinIP, and ITV_3M combines MiP, MinIP, and AvgIP. All ITVs were compared to ITV_all_phase with Dice similarity index (DSI) and volumes. Using ITV_all_phase as the reference, the DSI and the mean ITV volumes for the different ITVs were as follows: ITV_all_phase (1 and 116.69 cc), ITV_2phase (0.87 and 105.27 cc), MiP (0.76 and 98.24 cc), AvgIP (0.72 and 94.54 cc), ITV_MinIP (0.67 and 81.08 cc), ITV_2M (0.84 and 106.26 cc), and ITV_3M (0.86 and 112.51 cc). The study demonstrates that in the motion-encompassing technique of motion management, the target volume generated by delineating all phases of 4DCT provides the most accurate representation for patients with HCC. Specialty image sets and their combinations, while sometimes close, tend to result in less accurate targeting. Hence, the all-phase 4DCT method should be preferred to avoid geographical misses and ensure optimal treatment outcomes. However, our conclusion may be limited by the technique we employed.

A contactless in situ EFISH method for measuring electrostatic potential profile of semiconductor/electrolyte junctions.

In photoelectrochemical cells, promising devices for directly converting solar energy into storable chemical fuels, the spatial variation of the electrostatic potential across the semiconductor-electrolyte junction is the key parameter that determines the cell performance. In principle, electric field induced second harmonic generation (EFISH) provides a contactless in situ spectroscopic tool to measure the spatial variation of electrostatic potential. However, the total second harmonic generation (SHG) signal contains the contributions of the EFISH signals of semiconductor space charge layer and the electric double layer, in addition to the SHG signal of the electrode surface. The interference of these complex quantities hinders their analysis. In this work, to understand and deconvolute their contributions to the total SHG signals, bias-dependent SHG measurements are performed on the rutile TiO2(100)-electrolyte junction as a function of light polarization and crystal azimuthal angle (angle of the incident plane relative to the crystal [001] axis). A quadratic response between SHG intensity and the applied potential is observed in both the accumulation and depletion regions of TiO2. The relative phase difference and amplitude ratio are extracted at selected azimuthal angles and light polarizations. At 0° azimuthal angle and s-in-p-out polarization, the SHG intensity minimum has the best match with the TiO2 flatband potential due to the orthogonal relative phase difference between bias-dependent and bias-independent SHG terms. We further measure the pH-dependent flatband potential and probe the photovoltage under open circuit conditions using the EFISH technique, demonstrating the capability of this contactless method for measuring electrostatic potential at semiconductor-electrolyte junctions.

Feasibility of the Compton Suppressed Gamma-ray spectrometry for proton therapy applications

The presence of the Bragg peak and its use in proton therapy cause less damage to healthy tissues. For optimal use of the proton beam in proton therapy, it is necessary to monitor the deviation of its range during treatment. The prompt gamma rays originated from the nuclear reactions of the proton beam with tissue elements can be applied for this purpose. The spatial distribution of prompt gamma rays can be used to estimate the range of the incident charged particles. Detecting a wide energy range of gamma rays, up to 10 MeV, is the most challenging step of the proton dose verification by using prompt gamma spectroscopy. Compton suppression is a system that is used to reduce the contribution of scattered gamma rays. This technique will cause better detection of the peaks of low-energy prompt gamma rays. In this research, the performance of a Compton suppression system has been investigated in two fields for proton therapy and for elemental analysis of materials using isotopes by a wide range of gamma energies. At first, by using the simulated Compton suppression system, the calculations of the prompt gamma ray spectra emitted from the brain phantom during the radiation of 150 MeV protons were presented. The results indicated that the low energy elements peaks such as 40Ca (1.37 MeV) with CSF equal to 1.138 appeared in the suppressed spectrum. Also, it was possible to detect 14N (2.31 MeV) and 16O (6.13 MeV) peaks equivalent to the CSF 2.449 and 2.067 respectively. In the next step, it was possible to detect the low energy peaks of 152Eu and 155Eu isotopes in the suppressed spectrum. For this purpose, the minimum relative intensity required to detect all 152Eu and 155Eu peaks was equivalent to 0.001 and 0.002 respectively. CSF for the lowest energies such as 105 keV and 344 keV was equal to 1.169 and 1.184. The simulation was done using the GEANT4 Monte-Carlo toolkit.

Polyaniline/reduced graphene oxide nanocomposites for electrochemical and solar cell applications

Polyaniline nanocomposites are synthesized via in situ chemical oxidation method by reinforcing reduced graphene oxide nanoparticles of various weight percentage. Structural, optical, thermal and electrochemical studies are performed to know the significance of introducing reduced graphene oxide into polyaniline and to analyse the importance of filler weight percentage in determining various properties of the nanocomposites. X-ray diffraction peak intensity is appeared to be maximum for nanocomposite doped with 2% filler. This composite shows minimum crystallite size and maximum photoluminescence intensity. Maximum ID/IG ratio obtained for 2% filler added nanocomposite from Raman spectroscopy studies proved that the presence of more surface defects and recombination of charge carriers are the reasons for enhanced photoluminescence. Thermal stability is found to be better for a nanocomposite with 1% reduced graphene oxide and obtained a mass retention of 60% even after heating up-to 600 °C. SEM images give various shapes of nanocomposite such as nanorods, spherical nanoparticles and button shaped nanocomposites for different filler weight percentage. Carbon to oxygen ratio is observed to be decreased as the filler percentage increased from 1% to 4% in SEM-EDAX analysis. Polymer nanocomposite with 1% reinforcement possess maximum UV and visible absorption and is found to be decreased as filler concentration increased from 1 to 4%. Electrochemical analysis is performed for polyaniline and 1% reduced graphene oxide reinforced polyaniline nanocomposite. Specific capacitance of the electrode is obtained as 212 F g−1 and 609 F/g for polyaniline and nanocomposite respectively at a scan rate of 0.01 V/S. Solar cell device performance study shows that power conversion efficiency is 5.54% for 1% reduced graphene oxide nanocomposite, 4.7% for 2% reinforced, 4.16% for 3% filler and 3.61% for 4% nanocomposite.

Efficient MRI image enhancement by improved denoising techniques for better skull stripping using attention module-based convolution neural network

ABSTRACT Anatomical structure preservation throughout the denoising process is a challenge in the domain of medical imaging. The Rician noise introduced through the acquisition procedure by the Magnetic Resonance Imaging (MRI) scanner distorts the images. In this study, denoising using Wavelet-based Non-Local Median Filter (WBNLMF) and a novel contrast-enhancement method termed Improved Minimum Intensity Error Intuitionistic Fuzzy Contrast Enhancement (IMIEIFCET) is suggested. This methodology gives superior results while maintaining the edges and the brightness of the original image. An Attention Module-based Convolution Neural Network (AM-CNN) is suggested in the research as a methodology for skull stripping from MRI data. With a mean Dice coefficient of 0.998, a Sensitivity of 0.9975, and a Specificity of 0.9985, the proposed network exhibits result that are comparable to those of the specified Deep Learning (DL)-based technique.