Thermal Scan Research Articles

Phase transition, structural and magnetic parameters of vanadium-substituted Bi0.9Sm0.1FeO3 multiferroic ceramics

ABSTRACT The inorganic multiferroic compounds Bi0.9Sm0.1Fe1 − x V x O3 (x = 0.0, 0.015, 0.03, and 0.045) were prepared by the solid-state reaction method. X-ray diffraction analysis confirmed the rhombohedral perovskite-like structure with minor traces of the impurity phases Bi2Fe4O9 and Bi25FeO40. The lattice parameters a and c, and the volume of the hexagonal unit cell were extracted from the X-ray diffraction data and found to increase as the V5+ content is increased. The average crystallite size was estimated to be in the range 380–415 Å. Fourier transform infrared spectroscopy confirmed the rhombohedral perovskite-like structure via the vibration bands of the octahedral FeO6 group observed between 410 and 570 cm−1. A differential scanning calorimeter was used to record the thermal scans which revealed that the compounds have undergone crystalline phase transitions at temperatures in the range 300–320°C. A 4.5% V + 5 substitution has shifted the transition peak by 20°C. The magnetic hysteresis loops taken at room temperature with a vibrating sample magnetometer revealed the ordinary ferromagnetic behavior. The V5+ substitution enhanced the remanent magnetization, but the magnetic coercivity was found to fluctuate around an average value of about 1000 Oe. The compound Bi0.9Sm0.1Fe0.955V0.045O3 exhibited the maximum remanent magnetization.

Comparison of cerebral safety after atrial fibrillation using pulsed field and thermal ablation: Results of the neurological assessment subgroup in the ADVENT trial

BackgroundAtrial fibrillation (AF) ablation carries the risk of silent cerebral event (SCE) and silent cerebral lesion (SCL). Although "silent," these may have long-term clinical implications and are challenging to study as postprocedural magnetic resonance imaging (MRI) is not standard of care. ObjectiveThe neurological assessment subgroup (NAS) of ADVENT compared cerebral effects of pulsed field ablation (PFA) with standard-of-care thermal ablation. MethodsThe NAS included consecutive randomized PFA and thermal ablation patients who received postprocedural brain MRI 12–48 hours after ablation. Patients with apparent SCE or SCL findings underwent a modified Rankin scale assessment. MRI images were subsequently reviewed by a blinded brain imaging core laboratory. ResultsIn total, 77 patients with paroxysmal AF were enrolled at 6 centers; 71 had analyzable scans (34 PFA; 37 thermal ablation). Through individual center review, 6 PFA and 4 thermal scans were identified as SCE/SCL positive, of which 3 PFA and 0 thermal SCE/SCL findings were confirmed by a blinded core laboratory. MRI findings revealed 1 patient with 2- to 4-mm SCEs, 1 patient with a 3-mm SCE, and 1 patient with 2 SCLs (5.5 mm and 11 mm). All modified Rankin scale and National Institutes of Health Stroke Scale scores were 0 before discharge and at 90-day follow-up. There were only 2 neurological safety events (1 transient ischemic attack [PFA] and 1 stroke [thermal ablation]) in the ADVENT study, neither of which was part of the NAS. ConclusionThe ADVENT trial provides the first prospective, randomized data on the cerebral impact of PFA and thermal ablation of AF. Incidence of SCE/SCL after ablation in the NAS was low.

IJCM_233A: Multicentric study to evaluate the effectiveness of AI based Thermal mammography compared with standard screening modalities in suspected breast cancer patients.

Background: Machine learning in computer-assisted diagnostics improves sensitivity of image analysis and reduces time and effort for interpretation. Compared to standard mammograms, a thermal scan is easily scalable and is a safer screening tool. We evaluate the performance of an Artificial Intelligence (AI) based thermographic screening tool) compared with other standard breast cancer screening modalities Objectives: To evaluate the effectiveness of AI based Thermal mammography compared with standard screening modalities in suspected breast cancer patients. Methodology: A prospective multicentre study was conducted to assess the non-inferiority of sensitivity of AI based Thermal mammography (Thermalytix) to that of standard modalities in detecting malignancy in subjects who show possible symptoms of suspected breast cancer. Standard screening modalities and Thermalytix were obtained and interpreted independently in a blinded fashion. A receiver operating characteristic (ROC) curve was constructed to identify the best cut-off point, non-inferiority margin of =10% to demonstrate the non-inferiority. Results: We recruited 314 symptomatic women who first underwent a thermal scan, followed by mammogram and/or ultrasound. At Youden’s Index of ROC curve, the test device had a sensitivity of 82.5% (95% CI 73.2 to 91.9) and specificity of 80.5% (95% CI 75.0 to 86.1) as compared with diagnostic mammogram, which had sensitivity of 92% (95% CI 80.7 to 97.8) and specificity of 45.9% (95% CI 34.3 to 57.9). The overall area under the curve (AUC) was 0.845. Conclusion: The high AUC in both women under 45 years and above 45 years shows the potential of Thermalytix to be a supplemental diagnostic modality for all ages

Thermokinetic and Chemorheology of the Geopolymerization of an Alumina-Rich Alkaline-Activated Metakaolin in Isothermal and Dynamic Thermal Scans.

Alkaline sodium hydroxide/sodium silicate-activating high-purity metakaolin geopolymerization is described in terms of metakaolin deconstruction in tetrahedral hydrate silicate [O[Si(OH)3]]- and aluminate [Al(OH)4]- ionic precursors followed by their reassembling in linear and branched sialates monomers that randomly copolymerize into an irregular crosslinked aluminosilicate network. The novelty of the approach resides in the concurrent thermo-calorimetric (differential scanning calorimetry, DSC) and rheological (dynamic mechanical analysis, DMA) characterizations of the liquid slurry during the transformation into a gel and a structural glassy solid. Tests were run either in temperature scan (1 °C/min) or isothermal (20 °C, 30 °C, 40 °C) cure conditions. A Gaussian functions deconvolution method has been applied to the DSC multi-peak thermograms to separate the kinetic contributions of the oligomer's concurrent reactions. DSC thermograms of all tested materials are well-fitted by a combination of three overlapping Gaussian curves that are associated with the initial linear low-molecular-weight (Mw) oligomers (P1) formation, oligomers branching into alumina-rich and silica-rich gels (P2), and inter- and intra-molecular crosslinking (P3). The loss factor has been used to define viscoelastic behavioral zones for each DMA rheo-thermogram operated in the same DSC thermal conditions. Macromolecular evolution and viscoelastic properties have been obtained by pairing the deconvoluted DSC thermograms with the viscoelastic behavioral zones of the DMA rheo-thermograms. Two main chemorheological behaviors have been identified relative to pre- and post-gelation separation of the viscoelastic liquid from the viscoelastic solid. Each comprises three behavioral zones, accounting for the concurrently occurring linear and branching oligomerization, aluminate-rich and silica-rich gel nucleations, crosslinking, and vitrification. A "rubbery plateau" in the loss factor path, observed for all the testing conditions, identifies a large behavioral transition zone dividing the incipient gelling liquid slurry from the material hard setting and vitrification.

Outpatient Service Provision In Tertiary Hospital During Covid-19 Pandemic

Background: The COVID-19 pandemic was a challenge for healthcare professionals globally. The outpatient department is an important part of the hospital. Service providers were facing tremendous difficulties and challenges due to sudden thrust of the pandemic. Despite these challenges service providers had to give service during COVID-19 pandemic. The purpose of this study to assess the state of outpatient service in tertiary hospital during COVID-19 pandemic.
 Methods: This cross-sectional study was conducted among conveniently selected 203 service providers including 156 doctors and 47 nurses. Data were collected through face-to-face interview using semi-structured questionnaire and observation checklist. The study was conducted at medicine, surgery, paediatric and family planning outpatient department of Shaheed Suhrawardy Medical College Hospital, Dhaka Medical College Hospital, and Bangabandhu Sheikh Mujib Medical University during the period from January to December 2021.
 Results: Among 203 service providers, 76.8% were doctors and 23.2% were nurses. All health services were available during COVID-19 pandemic in outpatient departments (OPDs) of the selected hospitals. At outpatient department there was separate entry-exit door, thermal scan was available at entry point, Patients and visitors are restricted. Number of patients were decrease in outpatient department. Among the three hospitals facility of flu-corner and triage in the OPD of ShSMCH. For the DMCH and BSMMU, flu-corner and triage center were situated at other premises of the hospitals. Outdoor surgery, vaccination service and shishu bikash kendro were open during COVID-19 pandemic. About 80.8% respondents mentioned about availability of adequate amount of personal protective equipment, 42.9% respondents mentioned about proper ventilation, 57.1% respondents said had not. About 32.5% respondent said about availability of N-95 mask and 57.6% said had not. Among the respondents 67.0% said they maintained physical distance during consult with the patients. 57.6% respondents said about lack of manpower. 61.6% respondents said about felt anxiety and high-risk during service.
 Conclusion: For more improvement of outpatient service during COVID-19 pandemic, the authority should pay special attention, to increase manpower, arrange frequent training for service providers.
 JOPSOM 2021; 41(2):20-27

Chemorheology of a Si/Al > 3 Alkali Activated Metakaolin Paste through Parallel Differential Scanning Calorimetry (DSC) and Dynamic Mechanical Analysis (DMA).

Although geopolymers, as structural materials, should have superior engineering properties than traditional cementitious materials, they often need to improve their final characteristics' reproducibility due to the need for more control of the complex silico-aluminate decomposition and polymerisation stages. Thermosetting of a reactive geopolymeric paste involves tetrahedral Silicate and Aluminate precursor condensation into polyfunctional oligomers of progressively higher molecular weight, transforming the initial liquid into a gel and a structural solid. Viscosity and gelation control become particularly critical when the geopolymer is processed with 3D printing additive technology. Its physical state modification kinetics should match the flow and setting characteristics required by the deposition process. The reaction kinetics and the elastic and viscous characteristics preceding gelation and hardening have been investigated for an alkali-activated Metakaolin/Sodium Silicate-Sodium Hydroxide paste with a Si/Al ratio > 3. A chemoreological approach has been extended to these inorganic polymerisable systems, as already utilised for organic thermosetting polymers. Differential scanning calorimetry and Oscillatory DMA were carried out to monitor the advancement of the polymerisation reaction and the associated variations of the rheological viscoelastic properties. Dynamic thermal scans were run at 1 °C/min and a frequency of 10 Hz for the dynamic mechanical tests. The observed kinetics of polymerisation and variations of the elastic and viscous components of the complex viscosities and shear moduli are described in terms of polycondensation of linear and branched chains of oligomeric macromolecules of increasing complexity and molecular weight up to gelation (Gel1) and cross-linking of the gelled macrostructure (Gel2) and final glassy state. Geopolymerization can be allocated into two main behavioural zones: a viscoelastic liquid paste below 32.5% of reaction advancement and a viscoelastic solid above. Initial complex viscosities range from 2.3 ± 0.9 × 10-5 MPa*s to 6.8 ± 0.9 × 10-2 in the liquid-like state and from 1.9 ± 0.1 MPa to 9.6 ± 2.1 × 102 MPa in the solid-like state.

Role of linear and non-linear thermal radiation over the rotating porous disc with the occurrence of non-uniform heat source/sink: HAM analysis

The aim of the present work is to analyze the second-grade nanofluid flow over the rotating disc with the presence of non-uniform heat source/sink, linear and non-linear thermal radiation. The heat transfer mechanism for the second-grade nanofluid has been constructed with the help of Brownian motion and thermophoresis. The governing fluid equations are solved by the Homotopy analysis method and computed numerically via NDSolve after employing appropriate similarity transformations. The obtained series solutions had met excellent agreement with the previously published results. The significance of non-dimensional parameters on the hydrodynamic, heat and mass transfer aspects are discussed through the graphical representations. Also, the skin friction coefficient, heat and mass transfer rates are illustrated via tables. The present work reveals that the fluid velocity is accelerated due to by enhancing the second-grade nanofluid (β) and porosity (K) parameters. The radial and tangential velocity profiles are upsurged by increasing the thickness of index (m), whereas, decreasing the axial velocity profile. Moreover, the heat transfer profile is significantly impacted by the space (A∗) and temperature-dependent (B∗) heat source/sink parameters for both scenarios of linear and non-linear thermal radiation. In fact, the present work can be utilized as coolants by numerous automotive and engineering industries, namely the electronic devices, electrical motor, cooling system of power plants, CPU processors, engines, thermal radiative therapy, spectroscopy, X-rays and scans etc.

Thermal Scanning System Using Arduino Nano

Abstract The paper presents the study and implementation of a thermal scanning system that collects and transmits in real time the thermal data of scanned objects for their constant monitoring using an infrared temperature sensor and an Arduino Nano board. The application is made with the Arduino IDE, with the help of which the control of the Arduino board, sensors, screen, and LEDs connected to the platform is conducted. The sensors create the overall image of the thermal scan and send it to the Liquid-Crystal Display Thin-Film Transistor (LCD TFT) screen, and if an anomaly occurs, the red LED lights up.

Geological controls on the distribution of gas hydrates in the shallow parts of the gas hydrate stability zone – constraints from seafloor drilling off Taiwan

The presence of gas hydrates is well known in the marine realm southwest of Taiwan due to the widespread distribution of bottom simulating reflectors in seismic records. To learn more about gas hydrate systems and their dynamics at passive and active margins, we drilled boreholes with MARUM-MeBo200 seafloor drill rig at areas where geophysical indications for gas hydrates have been detected in the past. Several gas hydrate proxies like negative chloride anomalies in the pore water, cold spots detected by infrared thermal scans on cores, increased resistivity, and lithological parameters clearly showed the presence of hydrates in the drilled sections. However, gas hydrate was not recovered by MeBo most likely because of small crystal sizes which dissociated during recovery from the seafloor. Three holes were drilled at southern summit of Formosa Ridge down to 126 m below seafloor (mbsf) and recovered sediments from which in situ hydrate saturation values were estimated between 1 and 10% at 15–42 mbsf and even higher values of up to 38% below 100 mbsf. The latter are probably related to the sealing effect of carbonate precipitation which occur at 85–95 mbsf directly above the hydrate-enriched layer. Four holes were drilled at Four-Way Closure Ridge where a maximum drilling depth of 143.90 mbsf was reached. Hydrate presence starts in 65 mbsf continuing down-core with a range of 1–29% gas hydrate saturation in fine-grained homogenous clay. An abrupt change to higher gas hydrate saturation values of up to 80% occurs below 109 mbsf where silty and sandy turbidite layers are often intercalated. Such high gas hydrate contents only occur in the sand layers and not in the fine-grained sediments intercalated to the sand deposits.

Reclaim of Wrecked Bi-Te Based Materials In Peltier Modules In Thermopower Properties By Mechanical Milling

We thoroughly evaluated the effects of various treatments on the structural and electrical properties of the two as-cast materials, “Sb-doping Bi-Te (p-type)” and “Se-doping Bi-Te (n-type)” which are frequently present in abandoned Peltier modules. To investigate the thermoelectric properties of Bi2Te3-based materials, waste alloys characterized by electrical conductivity using the hot-end method. Alloys were purified by performing arc melting on a water-cooled copper crucible in a vacuum of at least 10-3 mbar, with five times melting sessions to assure homogeneity. A single and long milling period of 144 hours is applied. After the compressing operation, the resulting discs with nanostructures were annealed for an hour at 600 K under vacuum conditions. The discs' structural properties were characterized using X-ray diffraction (XRD) and their surfaces and stoichiometries were determined using scanning electron microscopy with an energy dispersive feature. The Seebeck coefficient of the nanoparticle formed n-type Bi-Te based sample is -35.3 µV.K-1 and p-type Bi-Te based sample is 100 µV.K-1 (15% of mean error margin). It was found that a notable improvement was attained in comparison to the initial state with the addition of nanoparticles.We thoroughly evaluated the effects of various treatments on the structural and electrical properties of the two as-cast materials, “Sb-doping Bi-Te (p-type)” and “Se-doping Bi-Te (n-type)”, which are frequently present in abandoned Peltier modules. To investigate the thermoelectric properties of Bi2Te3-based materials, waste alloys were produced and separated by electrical conductivity using the hot-end method. The alloys were purified by performing arc melting on a water-cooled copper crucible in a vacuum of at least 10-3 mbar, with 5 times melting sessions to assure homogeneity. A ball-milled procedure was used to reduce the obtained mass-scale materials to nano sizes. Single and long milling period of 144 hours is applied. After the compressing operation, the resulting discs with nano-structures were annealed for an hour at 600 K in a vacuum. X-ray diffraction was used to characterize the discs' structures, while scanning electron microscopy and energy dispersive X-ray spectroscopy were used to examine the discs' surfaces and determine their morphologies. Based on thermal imaging camera scans and Si-diode, we know that the Seebeck coefficient of the nanoparticle formed n-type Bi-Te based sample is -35.37 V.K-1, while that of the nanoparticle formed p-type Bi-Te based sample is 100.05 V.K-1 (15% of mean error margin). It was found that a notable improvement was attained in comparison to the initial state with the addition of nanoparticles.

Thermal Profiles: Novel phenotypic measurements of animal growth and metabolic efficiency

The costs of production for high density protein and the impacts food production have on the environment are becoming increasingly important issues in animal agriculture. The objective of the present study was to investigate the use of novel thermal profiles including a Thermal Efficiency Index (TEI) on the ability to identify efficient animals in a fraction of the time and at a significantly lower cost of conventional feed station and performance technology. Three hundred and fourty four high performance Duroc sires from a genetic nucleus herd were used in the study. The animals were monitored for feed consumption and growth performance using conventional feed station technology for a 72 day period. Animals were monitored in these stations between approximately 50 kg and 130 kg live body weight. An infrared thermal scan was performed on the animals at the end of the performance test by collecting automated dorsal thermal images and using these biometrics to measure both bio-surveillance values and a thermal phenotypic profile including the TEI (mean dorsal temperature /body weight 0.75). The thermal profile values were significantly correlated (r = 0.40, P < 0.0001) with a current industry best practice for performance in Residual Intake and Gain (RIG). The data from the current study suggest these rapid, real time, cost effective values for TEI constitute a useful precision farming tool for the animal industries to reduce the cost of production and green house gas (GHG) impact for high density protein production.

A Derating-Sensitive Tantalum Polymer Capacitor's Failure Rate within a DC-DC eGaN-FET-Based PoL Converter Workbench Study.

Many recent studies have revealed that PoL (Point of Load) converters' output capacitors are a paramount component from a reliability point of view. To receive the maximum degree of reliability in many applications, designers are often advised to derate this capacitor-as such, a careful comprehending of it is required to determine the converter's overall parameters. PoL converters are commonly found in many electronic systems. Their most important requirements are a stable output voltage with load current variation, good temperature stability, low output ripple voltage, and high efficiency and reliability. If the electronic system in question must be portable, a small footprint and volume are also important considerations-both of which have recently been well accomplished in eGaN transistor technologies. This paper provides details on how derating an output capacitor-specifically, a conductive tantalum polymer surface-mount chip, as this type of capacitor represented a step forward in miniaturization and reliability over previously existing wet electrolytic capacitors-used within a discrete eGaN-FET-based PoL buck converter determines the best performance and the highest MTBF. A setup based on an EPC eGaN FET transistor enclosed in a 9059/30 V evaluation board with a 12 V input voltage/1.2 V output voltage was tested in order to achieve the study's main scope. Typical electrical performance and reliability data are often provided for customers by manufacturers through technical papers; this kind of public data is often selected to show the capacitors in a favorable light-still, they provide much useful information. In this paper, the capacitor derating process was presented to give a basic overview of the reliability performance characteristics of tantalum polymer capacitor when used within a DC-DC buck converter's output filter. Performing calculations of the capacitor's failure rate based on taking a thermal scan of the capacitor's capsule surface temperature, the behavior of the PoL converter was evaluated.

Multiscale Spectral Analysis on Lysozyme Aqueous Solutions in the Presence of PolyEthyleneGlycol.

Infrared spectroscopy measurements were performed on Lysozyme aqueous solutions also in the presence of PolyEthylene Glycol (PEG 400) as a function of an increasing temperature from T = 27 °C to 90 °C, and, successively in sequence, by decreasing temperatures from T = 90 °C to 27 °C. Data were analyzed by evaluating the spectral difference with respect to the initial spectrum collected at 27 °C. This procedure allows to quantitatively evaluate the thermal restraint related to the thermal scan from T = 27 °C to 90 °C, as well as to introduce a spectral resilience concerning the entire increasing and decreasing thermal paths which allow to highlight the bioprotectant effectiveness of low molecular weight PEG. In particular, the main purpose of the present work is to highlight the effects of a thermal treatment on a mixture of Lysozyme/water and of Lysozyme/water/PEG 400 during an increasing temperature scan, and then after a successive decreasing temperature scan, in order to highlight the bioprotectant role of PEG 400. On that score, an evaluation of the spectral distances of the registered spectra as a function of increasing and decreasing temperatures has been performed and analyzed.

107 (PB-107) Poster - MaThAI: A MultiModal imaging combining Mammography and Thermalytix for better prioritization of mammography scans to detect early malignancies

Background: Breast cancer screening helps in early intervention and treatment. Post COVID, there is a huge backlog of women who missed their regular screening resulting in increased workload for radiologists, delayed reporting and intervention for malignant women. Thermalytix is an AI-based tool over thermal images that generates a 5 point score called B-Score where 5 is highest suspected risk for breast cancer and 1 is the lowest risk. In this study, we propose and evaluate a multimodal imaging modality called MaThAI that combines mammography and Thermalytix for prioritization of Mammography scans using B-Score. Materials and Methods: Data from two clinical studies were pooled together and a total of 583 women who took both mammography and thermal scans were included in the study. Among them, 72 women were diagnosed to be malignant using mammography, ultrasound, and/or biopsy. Sensitivity and specificity of (i) Mammography alone (as reported by experienced radiologists), (ii) Thermalytix alone (using B-Score ≥3 as positive) and (iii) MaThAI (considering a scan as positive if either Mammogram interpretation or Thermalytix interpretation or both were positive) were computed. As a second experiment, we assessed the benefit of MathAI prioritized mammography scans by estimating the reporting times for detecting 95% malignant patients. Results: The sensitivity and specificity of mammography were 81.9% and 98.8%, respectively, assuming BIRAD 0 as negative. Assuming BIRAD 0 as positive the sensitivity and specificity were 90.3% and 86.9%, respectively. Six malignancies were found in the 67 women with inconclusive reports (BIRADS 0). When Thermalytix B-Score was considered, the sensitivity and specificity were 94.4% and 81.0%, respectively. MaThAI showed an overall sensitivity and specificity of 98.6% (CI: 95.9%–100%) and 80.6% (CI: 77.2%–84.1%), respectively. The combo modality increased sensitivity over mammography alone by 16.7%, and Thermalytix alone by 4.2%, while decreasing the specificity of mammography by 6.3%. In the second experiment, we evaluated the benefit of MaThAI in prioritizing mammography scans using Thermalytix B-Score. Assuming mammography interpretation time is 20 minutes per exam and considering the order of the interpretation to be scan date + time, a single radiologist would have released the reports of 95% of the women with malignancy in 6720 minutes. Whereas using B-Score to reorder the scans for interpreting, the same radiologist would release the reports of 95% of the women with malignancy in 3080 minutes. Conclusion: MaThAI is a promising multimodal tool for breast screening that enables effective and efficient adjunct usage of thermal image along with mammography. It was effective in increasing the sensitivity of mammography by 16.7% and is estimated to reduce the reporting time for malignant patients by 54%. Conflict of interest: Ownership: Yes Board of Directors: Yes Corporate-sponsored Research: Yes

Experimental and theoretical analysis of polymer blend composites using Weibull distribution

ABSTRACT In the present work, the mechanical and thermal behaviors of Poly Butylene Terephthalate, Poly Trimethylene Terephthalate and Poly Butylene Terephthalate (30% Glass filled) polymer and polymer blend composites were studied. Reliability analysis on tensile strength and flexural strength for the polymers and polymer blend composites at different cross-head speeds was done by Weibull distribution methodology. By using Weibull distribution (Two parameters), the theoretical tensile and flexural strength values were determined for the polymers and polymer blend composites at different cross-head speeds. Weibull analysis revealed good correlation between experimental mechanical strength values at varying load conditions with uniform strength distribution. The probability functions indicated good correlation between the cumulative density and strength of the polymer blends suggesting improved thermal stability and reduction in loss of material mass. A thermal scan to determine the the mass loss, glass transition temperature (Tg), melting and decomposition, revealed improved adhesion and enhanced constituent miscibility while the fractography indicated increased interfacial bonding strength and reduced phase tension. The improved adhesion between the polymer phases was caused by the compatibilizer which also improved the mechanical properties and thermal stability.

A novel fault detection and identification system for solar PV systems using truncated arrangement of active cell (TAAC) structure

Fault detection and identification in a solar Photovoltaic (PV) systems are one of the crucial task in recent days for ensuring both reliability and safety measures. The fault occurrence in the PV cell will affect the output power, and can reduce the efficiency of its characteristics. The fault in PV cell can identify by using the thermal scan method manually. Arrangement of the proposed setup regularly is not possible to monitor due to the hardware installation of several equipment, it took more time to test, and validate the affected PV cells prediction less accuracy while doing in manual testing. In order to solve these issues, this paper intends to propose a novel algorithm, named as Truncated Arrangement of Active Cell (TAAC) structure for accurately detecting the PV faults. This technique is used to analyze the PV cell aging condition and to enhance the PV characteristics. Typically, the improvement in a cell arrangement provides an optimal solution for efficient fault detection. Moreover, the TAAC architecture computes the optimal solution for a PV output terminal based on the PV cell parameters and variation of temperature measures. Also, a Kalman filtering technique is employed to extract the features that are used to improve the detection process. The major advantages of this structure are, it enhance the lifetime of PV cell and stores the maximum power for a long time usage. The experimental results evaluate the performance of this technique by using various measures such as false alarm rate, misclassification rate, misdetection rate, and prediction rate. Furthermore, some of the existing techniques are compared with the proposed technique for proving its superiority.

Prediction of divertor heat flux width for ITER pre-fusion power operation using BOUT++ transport code

Prediction of divertor heat flux width is performed for the first and the second pre-fusion power operation (PFPO) phases specified in the new ITER research plan using BOUT++ transport code (Li et al 2018 Comput. Phys. Commun. 228 69–82). The initial plasma profiles inside the separatrix are taken from CORSICA scenario studies. Transport coefficients in transport code are calculated by inverting the plasma profiles inside the separatrix and are assumed to be constants in the scrape-off-layer. An anomalous thermal diffusivity scan is performed with E × B and magnetic drifts. The results in two scenarios identifying two distinct regimes: a drift-dominant regime when diffusivity is smaller than the respective critical thermal diffusivity χ c and a turbulence-dominant regime when diffusivity is larger than it. The Goldston heuristic drift model and the ITPA multi-machine experimental scaling yield a lower limit of the width λ q . From transport simulations, we obtain the critical thermal diffusivity χ c = 0.5 m2 s−1 for the PFPO-1 scenario with toroidal magnetic field B = 1.77 T and plasma current I p = 5 MA, and χ c = 0.3 m2 s−1 for the PFPO-2 scenario with toroidal magnetic field B = 2.65 T and plasma current I p = 7.5 MA. Separatrix temperature and collisionality also have a significant impact on the heat flux width in the drift-dominant regime. The investigation clearly yields a scaling for critical thermal diffusivity using ITER scenarios with fixed safety factor q 95, major radius R, aspect ratio R/a, and the separatrix temperature T sep, and establishes the connection with CFETR and C-Mod discharges. This scaling implies that for a given tokamak device with q 95, R, R/a, and T sep fixed, a reduction of poloidal magnetic field by a factor of 3 leads to a 9 times higher critical value of thermal diffusivity χ c, possibly yielding a transition from turbulence- to drift-dominant regime.

Entropy frameworks for urban heat storage can support targeted adaptation strategies

The attribution of urban temperatures to biophysical processes (Zhao et al., 2014; Ridgen and Li, 2017; Li et al., 2019) improves the understanding of the urban heat island (UHI) phenomenon. Traditionally, UHI studies are based on satellite observations, which are limited in their spatial resolution. Little is known about how the biophysical contributions are composed at micro-scale (some meters) and how they interact. Here we suggest an entropy concept for the heat storage cycle, reducing the complexity of the system and improving the understanding of resulting hysteresis. The entropy framework was applied to different surface types based on micrometeorological simulations (3 m × 3 m horizontal resolution) that are validated by an airborne thermal scan. In addition to the effects of reduced convection and evapotranspiration we found that heat storage can make a very dominant UHI contribution locally proceeding in entropy loops, where steep slopes and maximally symmetrically closed loop areas are optimal for achieving a balance between heat storage and release. The characteristics of the entropy cycles help suggest new and optimised strategies to attenuate urban heat episodes and we present a stepwise procedure (workflow) for the application of this method.

Effect of procaine hydrochoride on lipid bilayers

We are interested in the influence of natural osmolytes, e.g. Urea and TMAO (Trimethylamine N-oxide) on the fluidity and stability of lipid model membranes. Here we extend our interest to Procaine Hydrochoride. We used a combination of simultaneous SAXS/WAXS/DSC measurements, aiming to identify the structures, their dimensions and the phase transition temperatures. Thermal scans show morphologies similar to aqueous solution of the pure lipids, although with different dimensions and transition temperatures.

Thermal Scanning and Mask Detection Entrance

Abstract: “Covid-19”, a virus has changed the world with a huge impact in the regular lives of people. People are mostly scared to go outside because of this deadly virus. But there are ways to fight and avoid this virus from affecting us, which is regular sanitization of hands and proper wearing of mask. But these days, people are avoiding these basic safety aids. Because of this virus, many public places have forcibly put to shut as people might get affected. Covid-19 can be fought only if people start to keep safe distance and wear proper mask covering their faces. Covid-19 has several symptoms like high body temperature. So, keeping these factors in mind the prototype has been developed as a system that can detect the body temperature of a person as well as it can check if the person is wearing a mask or not. This work has thermal imaging technique that can detect body temperature without any physical contact and uses image processing to check for mask wearablity. If the person fails to wear a mask or his/her body temperature is above normal, then an alarm is generated, and the photo of the person is sent to the control room with an alert message. The data of both people entering as well as people that are not allowed, are stored in the database with the current date and time. Keywords: Mask, Thermal scan, Raspberry Pi, MLX90614, Servo motor, Alarm