Optimal Resolution Research Articles

A high-efficiency adaptive TENO scheme with optimal accuracy order for compressible flow simulation

In this paper, we propose a new adaptive cut-off function and develop a fifth-order targeted ENO scheme that achieves optimal accuracy at any order of critical points, which performs excellently in conventional compressible gas dynamics. The cut-off value CT is crucial for controlling the dissipation in TENO schemes. Adjusting CT can improve shock capture and increase dissipation for small-scale features. To address this issue, Fu et al. [27] and Peng et al. [28] developed the TENO-A and TENO-LAD schemes, respectively, with adaptive cut-off values CT. However, these adaptive cutoffs CT are computationally expensive due to additional free parameters and complexity. Furthermore, all TENO schemes, including the adaptive versions, can suffer from loss of accuracy at higher-order critical points. In this paper, a new adaptive cut-off function is proposed that uses a global smoothness indicator correction so that it can be automatically tuned between 0 and a given positive constant λd, ensuring that the new TENO scheme achieves optimal accuracy in smooth regions and good shock-capturing in the less smooth parts. A series of benchmark simulations demonstrate that the presented scheme provides optimal accuracy, better robustness, resolution, and numerical stability, and higher resolution than existing TENO schemes while improving computational efficiency. Due to the simplicity of the new cut-off structure, it can be easily extended to improve other TENO schemes.Program files associated to this article may be found at https://github.com/fourhairs/cfd.

CT and MR anatomy of the larynx and hypopharynx.

Imaging of the larynx and hypopharynx is frequently requested to assess the extent of neoplasms beyond the field of view of endoscopic evaluation. The combination of optical and cross-sectional imaging allows tumors to be classified according to AJCC/UICC guidelines. A thorough understanding of laryngeal and hypopharyngeal anatomy is crucial to guide the radiological eye along the possible pathways of the spread of diseases and to guide differential diagnoses. Computed tomography (CT) has been the first cross-sectional imaging technique used to evaluate the larynx and hypopharynx; its spatial resolution combined with volumetric capability and the use of injectable contrast medium made CT the working horse in the assessment of neoplastic and inflammatory diseases. In the last two decades, magnetic resonance (MR) supported CT in the most challenging cases, when the optimal contrast resolution due to the multisequence portfolio is needed to assess the neoplastic involvement of laryngeal cartilages, paraglottic space(s), and extra laryngeal spread. The aim of this paper is to give a comprehensive radiological overview of larynx and hypopharynx complex anatomy, combining in vivo images, anatomical sections, and images of ex vivo specimens.

Optimal Spectral Resolution for Infrared Studies of Solids and Liquids.

Due to a legacy originating in the limited capability of early computers, the spectroscopic resolution used in Fourier transform infrared spectroscopy and other systems has largely been implemented using only powers of two for more than 50 years. In this study, we investigate debunking the spectroscopic lore of, e.g., using only 2, 4, 8, or 16 cm-1 resolution and determine the optimal resolution in terms of both (i) a desired signal-to-noise ratio and (ii) efficient use of acquisition time. The study is facilitated by the availability of solids and liquids reference spectral data recorded at 2.0 cm-1 resolution and is based on an examination in the 4000-400 cm-1 range of 61 liquids and 70 solids spectra, with a total analysis of 4237 peaks, each of which was also examined for being singlet/multiplet in nature. Of the 1765 liquid bands examined, only 27 had widths <5 cm-1. Of the 2472 solid bands examined, only 39 peaks have widths <5 cm-1. For both the liquid and solid bands, a skewed distribution of peak widths was observed: For liquids, the mean peak width was 24.7 cm-1 but the median peak width was 13.7 cm-1, and, similarly, for solids, the mean peak width was 22.2 cm-1 but the median peak width was 11.2 cm-1. While recognizing other studies may differ in scope and limiting the analysis to only room temperature data, we have found that a resolution to resolve 95% of all bands is 5.7 cm-1 for liquids and 5.3 cm-1 for solids; such a resolution would capture the native linewidth (not accounting for instrumental broadening) for 95% of all the solids and liquid bands, respectively. After decades of measuring liquids and solids at 4, 8, or 16 cm-1 resolution, we suggest that, when accounting only for intrinsic linewidths, an optimized resolution of 6.0 cm-1 will capture 91% of all condensed-phase bands, i.e., broadening of only 9% of the narrowest of bands, but yielding a large gain in signal-to-noise with minimal loss of specificity.

Approaching an optimum time resolution for synchroscan streak-camera measurements with visible synchrotron light

The optical beam diagnostics at the BESSY II light source in Berlin have been improved significantly over the last few years. In particular, the streak-camera system has been extended in precision and sensitivity to allow two-dimensional imaging in time and space for equilibrated and non-equilibrated bunch patterns. In this paper, we prove experimentally and theoretically that we have reached a sub-ps RMS total time resolution using filtered synchrotron light. Detailed simulations, including the different physical time-dispersion mechanisms, show the influence of various band-pass and edge wavelength filters on the resolution. The limits for unfiltered near-visible synchrotron radiation (white-light) and the band-pass filter to achieve optimal time resolution are derived as well, providing a basis for more advanced beam-dynamics studies in the near future.

The performance of AC-coupled Strip LGAD developed by IHEP

The AC-coupled Strip LGAD (Strip AC-LGAD) is a novel LGAD design that diminishes the density of readout electronics through the use of strip electrodes, enabling the simultaneous measurement of time and spatial information. The Institute of High Energy Physics has designed a long Strip AC-LGAD prototype with a strip electrode length of 5.7 mm and pitches of 150 μm, 200 μm, and 250 μm. Spatial and timing resolutions of the long Strip AC-LGAD are studied by pico-second laser test and beta source tests. The laser test demonstrates that spatial resolution improves as the pitch size decreases, with an optimal resolution achieved at 8.3μm. Furthermore, the Beta source test yields a timing resolution of 37.6 ps.

PICturing coronary pathology postmortem: forensic cardiac imaging with Postmortem Infrared Coronary angiography of human heart ex situ

The diagnostic assessment of sudden and unexpected cardiovascular deaths remains intricate in forensic medicine. Building upon the foundational technique introduced by P. Fais et al.(2018), we present modifications to the post-mortem infrared coronary angiography (PIC) tailored specifically for the assessment of human hearts. Refinements to PIC encompass the integration of a 3D-printed clamp for catheter stabilization and the procedural alteration of utilizing warm water injections, negating the need for additional cardiac cooling. An enhanced imaging modality is achieved using the FLIR Thermal Lepton 3.5 camera, embedded within the robust Cat S62 Pro mobile device, ensuring optimal resolution and suitability for an autopsy environment. The advanced PIC technique provides superior visualization of the coronary arteries, frequently correlating with subsequent autopsy and histological assessments. Notably, the method allows immediate continuation to the autopsy without compromising the cardiac structure. Nevertheless, certain anatomical variances, such as muscular bridging or pronounced pericardial fat, might reduce locally what appears to be an otherwise excellent specificity. The refined PIC method emerges as a pivotal diagnostic adjunct in forensic evaluations of sudden cardiovascular fatalities. Its ability to preserve cardiac integrity and facilitate uninterrupted autopsy progression underscores its potential utility. However, rigorous validation is imperative to ascertain its comprehensive applicability and inherent limitations.

Dual-grating waveguide coupler biosensor for the real-time determination of human immunoglobulin M (IgM) antibodies

A dual-grating waveguide coupler biosensor was developed to detect human immunoglobulin M (IgM) antibodies with modification procedures using (3-aminopropyl)triethoxysilane (APTES) as the self-assembled monolayer were optimized. The average bulk sensitivity and optimal resolution were 43.84 ± 1.15 RIU−1 and 6.18 × 10−6 RIU, respectively. Due to the photocatalytic property of TiO2, ultraviolet treatment for 7.5 min was used to form the hydroxyl groups on TiO2 surface. APTES immobilized the biomolecules via chemical bonding; the optimal APTES modified parameters were 2% (v/v) for 0.5 h at 80 °C. Glutaraldehyde (GA) immobilized the protein A without activating carboxyl groups of protein A. The optimal GA modified conditions were 2.5% (v/v) for 48 min. Protein A immobilized the capture antibody directionally, the fragment antigen binding (Fab) region of the capture antibody was more completely exposed to improve the detection effect. Using the optimal modification conditions, the limit of detection for human IgM immunoassay was 2.67 × 10−8 ± 1.18 × 10−8 g/mL. Furthermore, this biosensor was demonstrated to determine the concentration of human IgM within 1 h and has potential for commercialization.

Determining optimal air leak resolution criteria when using digital pleural drainage device after lung resection

ObjectiveThere is limited clinical evidence to support any specific parenchymal air leak resolution criteria when using digital pleural drainage devices following lung resection. The aim of this study is to determine an optimal air leak resolution criteria, where duration of chest tube drainage is minimized while avoiding complications from premature chest tube removal. MethodsAirflow data averaged at 10-minute intervals was collected prospectively using a digital pleural drainage device (Thopaz; Medela) in 400 patients from 2015 to 2019. All permutations of air leak resolution criteria from <10 to 100 mL/minute for 4 to 12 hours were applied retrospectively to the pleural drainage data to determine air leak duration, and air leak recurrence frequency and volume. Air leak recurrence indicates potential for rather than occurrence of adverse events. Descriptive statistics were used to identify the optimal criteria based on patient safety (low frequency and volume of air leak recurrences), and efficiency (shortest initial air leak duration). ResultsThe majority of the 400 patients underwent lobectomy (57% [227 out of 400]), wedge resections (29% [115 out of 400]), or segmentectomies (8% [32 out of 400]) for lung cancer (90% [360 out of 400]). An airflow threshold <50 mL/minute resulted in longer air leak duration before meeting the criteria for air leak resolution (P < .0001). Air leak recurrence frequency and volume were greater in patients with a monitoring period <8 consecutive hours (P < .0001). ConclusionsWhen using a digital pleural drainage device, a postoperative air leak resolution criteria <50 mL/minute for 8 consecutive hours was associated with the best safety and efficiency profile.

Modified DeeplabV3+ with multi-level context attention mechanism for colonoscopy polyp segmentation

The development of automated methods for analyzing medical images of colon cancer is one of the main research fields. A colonoscopy is a medical treatment that enables a doctor to look for any abnormalities like polyps, cancer, or inflammatory tissue inside the colon and rectum. It falls under the category of gastrointestinal illnesses, and it claims the lives of almost two million people worldwide. Video endoscopy is an advanced medical imaging approach to diagnose gastrointestinal disorders such as inflammatory bowel, ulcerative colitis, esophagitis, and polyps. Medical video endoscopy generates several images, which must be reviewed by specialists. The difficulty of manual diagnosis has sparked research towards computer-aided techniques that can quickly and reliably diagnose all generated images. The proposed methodology establishes a framework for diagnosing coloscopy diseases. Endoscopists can lower the risk of polyps turning into cancer during colonoscopies by using more accurate computer-assisted polyp detection and segmentation. With the aim of creating a model that can automatically distinguish polyps from images, we presented a modified DeeplabV3+ model in this study to carry out segmentation tasks successfully and efficiently. The framework's encoder uses a pre-trained dilated convolutional residual network for optimal feature map resolution. The robustness of the modified model is tested against state-of-the-art segmentation approaches. In this work, we employed two publicly available datasets, CVC-Clinic DB and Kvasir-SEG, and obtained Dice similarity coefficients of 0.97 and 0.95, respectively. The results show that the improved DeeplabV3+ model improves segmentation efficiency and effectiveness in both software and hardware with only minor changes.

Tenfold sensitivity increase in streak camera detection by propagation synchronous integration without compromising time resolution.

For many applications that involve measuring ultrafast optical phenomena, the streak camera is the device of choice because of its excellent time resolution, its high sensitivity, the possibility to simultaneously measure lifetimes and spectra, and because it can capture the temporal dynamics in a single shot. Nevertheless, to obtain a good time resolution, often narrow slits have to be employed that restrict the image source area and, therefore, limit the light collection efficiency in the experiment. For some applications, it is therefore challenging to find an acceptable balance between the time resolution and signal-to-noise ratio. To overcome this limitation, we have devised the propagation synchronous integration principle for the streak camera, in which an effective spatio-dependent time-shift in the excitation of a sample is introduced and counteracted by the streak sweep, thereby effectively allowing for an increased image source area while maintaining the optimal time resolution. Using the Optronis streak camera with tunable streak sweep and large (1mm) photocathode width, we could achieve a sevenfold increase in light collection efficiency without affecting the time resolution. Furthermore, we were also able to achieve an 11-fold increase in light collection at the cost of a 26% decrease in the time resolution.

Mechanically Robust, Flexible, Fast Responding Temperature Sensor and High‐Resolution Array with Ionically Conductive Double Cross‐Linked Hydrogel

AbstractHydrogel‐based sensing devices show potential in wearable electronics. However, most hydrogels are mechanically weak, bringing functional stability problems in real usage environment that may interact with occasionally external forces. There are demands to develop robust hydrogel‐based devices with good performances. Here, a highly sensitive temperature sensor with robust, ionic conductive, and double cross‐linked polyacrylamide‐sodium alginate hydrogel is developed. It is found that ions with larger radius show higher sensitivity to temperature changes (e.g., Ba2+) in the hydrogel, because ion movement is dependent with ion sizes. The sensor shows advantages of fast response (2.02 s of 40 °C temperature difference), wide sensing range (22–100 °C), and high robustness (withstanding 2000 cyclic compression and 175 N m−1 for 180° anti‐peeling test). The wearable sensor can effectively distinguish the temperatures of various body parts (0.9 °C temperature difference) and monitor respiration (0.5 °C temperature difference) in real‐time. A wearable 5×5 sensing array is developed for direct human‐body temperature mapping, achieving an optimum resolution of ≈0.15 mm−1 and enabling a clear mapping of superficial vascular pathways at the wrist. This study provides a practical and optimized approach for the implementation of wearable conductive hydrogel‐based devices in the field of human health.

Accelerated Pure Shift NMR Spectroscopy with Deep Learning.

Pure shift nuclear magnetic resonance (NMR) spectroscopy presents a promising solution to provide sufficient spectral resolution and has been increasingly applied in various branches of chemistry, but the optimal resolution is generally accompanied by long experimental times. We present a proof of concept of deep learning for fast, high-quality, and reliable pure shift NMR reconstruction. The deep learning (DL) protocol allows one to eliminate undersampling artifacts, distinguish peaks with close chemical shifts, and reconstruct high-resolution pure shift NMR spectroscopy along with accelerated acquisition. More meaningfully, the lightweight neural network delivers satisfactory reconstruction performance on personal computers by several hundred simulated data learning, which somewhat lifts the prohibiting demand for a large volume of real training samples and advanced computing hardware generally required in DL projects. Additionally, an M-to-S strategy applicable to common DL cases is further exploited to boost the network generalization capability. As a result, this study takes a meaningful step toward deep learning protocols for broad chemical applications.

E-nose and colorimetric sensor array combining homologous data fusion strategy discriminating the roasting degree of large-leaf yellow tea

Different degrees of roasting result in differences in the quality and flavor of large-leaf yellow tea. The current sensory evaluation and chemical detection methods cannot meet the requirement of online differentiation of LYT roasting degree, so an accurate and comprehensive assessment method needs to be developed urgently. First, the two aroma sensing technologies were compared. Two variable screening methods and three recognition algorithms were employed to build discriminant models. The results showed that the discrimination rate of the colorimetric sensor array (CSA) in the prediction set reached 91.89 %, outperforming that of the E-nose. Subsequently, three fusion strategies were applied to improve the discrimination accuracy. The discrimination rate of the middle fusion strategy resulted in an optimal resolution of 94.59 %. The results obtained from the homologous fusion were able to evaluate the roasting degree comprehensively and accurately, which provides a new method and idea for tea aroma quality.

Antepartum Fetal Surveillance and Optimal Timing of Delivery in Diabetic Women: A Narrative Review.

Antepartum fetal surveillance (AFS) is essential for pregnant women with diabetes to mitigate the risk of stillbirth. However, there is still no universal consensus on the optimal testing method, testing frequency, and delivery timing. This review aims to comprehensively analyze the evidence concerning AFS and the most advantageous timing for delivery in both gestational and pregestational diabetes mellitus cases. This review's methodology involved an extensive literature search encompassing international diabetes guidelines and scientific databases, including PubMed, MEDLINE, Google Scholar, and Scopus. The review process meticulously identified and utilized pertinent articles for analysis. Within the scope of this review, a thorough examination revealed five prominent international guidelines predominantly addressing gestational diabetes. These guidelines discuss the utility and timing of fetal well-being assessments and recommendations for optimal pregnancy resolution timing. However, the scarcity of clinical trials directly focused on this subject led to a reliance on observational studies as the basis for most recommendations. Glucose control, maternal comorbidities, and the medical management received are crucial in making decisions regarding AFS and determining the appropriate delivery timing.

Validated high‐performance thin‐layer chromatographic densitometric method for quantification of gallic acid, quercetin, and ursolic acid in the combined formulation of Emblica officinalis, Punica granatum Linn, and Ocimum sanctum Linn extracts

AbstractA quantitative high‐performance thin‐layer chromatography method has been developed for the estimation of three markers gallic acid, quercetin, and ursolic acid in the extracts and combined formulation of Emblica officinalis, Punica granatum Linn, and Ocimum sanctum Linn extracts. Chromatographic development was performed using precoated silica gel 60 F254 TLC plate and final optimized mobile phase as toluene:ethyl acetate:formic acid (4.5:3:0.2 v/v/v), resulting in optimum resolution with Rf of 0.29, 0.51, and 0.78 for gallic acid, quercetin, and ursolic acid, respectively. Gallic acid and quercetin were detected at 258 nm and ursolic acid at 529 nm after derivatization. All markers showed a good correlation coefficient of 0.9950 for gallic acid, 0.9953 for quercetin, and 0.9945 for ursolic acid. The accuracy and precision measured were less than 2% relative standard deviation for all markers. The mean percent recovery found for gallic acid, quercetin, and ursolic acid were within acceptable limits in formulation indicating that the excipients present have no interference. The proposed method was found to be specific, accurate, linear, precise, and robust, and can be applicable for the simultaneous estimation of gallic acid, quercetin, and ursolic acid for the analysis of individual plant extracts and herbal formulation.

4-(Triethoxysilyl)butanoic acid as a self-assembled monolayer for surface modification of titanium dioxide.

In this study, the carboxy silane 4-(triethoxysilyl)butanoic acid (TESBA) was used to modify titanium dioxide (TiO2) to create a self-assembled monolayer (SAM) and then directionally immobilize a capture antibody using protein A. We selected the amino silane (3-aminopropyl)triethoxysilane (APTES) to perform a comparative analysis with TESBA, and employed glutaraldehyde (GA) as the control. The modification and detection effects and the limit of detection (LOD) were evaluated by detecting human immunoglobulin G (IgG). The average normalized sensitivity of the dual-grating coupler waveguide biosensor was 49.63 ± 0.27 RIU-1 and the optimum resolution was 1.30 × 10-6 RIU. When the SAM was prepared using TESBA and APTES followed by GA, the LOD was 4.59 × 10-7 g mL-1 and 5.29 × 10-7 g mL-1, respectively. We analyzed the modification and detection effects by the t-test and concluded that the differences in the modification effects using TESBA and APTES followed by GA were significant and the differences in the detection effects using TESBA and APTES followed by GA were insignificant. The use of TESBA as the SAM led to the modification effect being superior to that obtained using APTES followed by GA. The detection effect using TESBA was as outstanding as that using APTES followed by GA. Our findings demonstrate the feasibility and effectiveness of using TESBA as the SAM to carboxylate the surface of TiO2, thereby enabling immobilization of biomolecules for human IgG detection.

Representative Bodies of Local Self-Government as an Object of Public Control: Constitutional and Legal Analysis

This article is devoted to the analysis of modern problems and prospects for the development of the institute of public control over representative bodies of local self-government in the Russian Federation. This topic is of particular relevance due to the fact that these public authorities are directly elected by the people. The subject of the analysis is the relevant provisions of the legislation of Russia devoted to the consolidation of the mechanism of organization and implementation of public control over the activities, acts and decisions of representative bodies of local self-government and the practice of their application. General and private scientific methods were used in the work, in particular, dialectical, logical, historical-legal, formal-legal, comparative-legal. The author examines the role and place of representative bodies of local self-government in the system of public authorities in the Russian Federation. The paper identifies and formalizes the main problems that hinder the organization and implementation of public control over representative bodies of local self-government in the Russian Federation, develops and justifies a system of measures for their optimal resolution. The issues of development in the scientific legal doctrine and introduction of new forms, methods, principles and types of public control measures in relation to representative bodies of local self-government in the Russian Federation need further scientific understanding.

Optimal Conflict Resolution for Vehicles With Intersecting and Overlapping Paths

Optimal Conflict Resolution for Vehicles With Intersecting and Overlapping Paths

Analysis of Optimal Spatial Resolution Capability of Pulse-Dilation Framing Camera

Analysis of Optimal Spatial Resolution Capability of Pulse-Dilation Framing Camera

Speckle-based imaging (SBI) applications with spectral photon counting detectors at the newly established OPTIMATO(OPTimal IMAging and TOmography) laboratory

Speckle-based imaging (SBI) is an advanced X-ray imaging technique that measures phase and dark-field signals, in addition to absorption signals. SBI uses random wavefront modulators to generate speckles and requires two images: one with a speckle pattern alone, and one with both the sample and speckles. SBI reconstruction algorithms retrieve three signals (transmission, refraction, and dark-field) by comparing the two images. In SBI, speckle visibility plays a crucial role in the retrieval of the three signals. When translating the technique from synchrotron sources to compact laboratory setups, the reduced coherence of the source and limitations in the available resolution yield lower speckle visibility, hampering the retrieval of phase and dark-field signals. In this context, direct-detection CdTe X-ray photon-counting detectors (XPCDs) provide an attractive solution, as they allow for a high detection efficiency and optimal spatial resolution enhancing speckle visibility. In this work, we present the newly established OPTIMATO (OPTimal IMAging and TOmography) laboratory for X-ray imaging hosted at the Elettra synchrotron (Trieste, Italy). The setup for SBI with resolutions up to 15 µm including an XPCD and a charge-integrating flat-panel detector (FPD) has been used to acquire SBI data. The main limiting factors when moving SBI applications from synchrotron facilities to compact laboratory setups are summarized. The advantages of XPCDs over FPDs are discussed by comparing the SBI images obtained using both detectors. The potential of the spectral decomposition approach via multi-threshold acquisitions using XPCDs is briefly introduced. The results shown in this work represent the first step toward the realization of a multimodal and multiresolution X-ray facility.