Improvement In Resolution Research Articles

Mars Gravity Field Determination Based on Satellite-to-Satellite Tracking Technique

The Martian gravity field serves as the primary constraint for modeling the interior structure and changes in the surface mass. Currently, the determination of the Martian gravity field relies on ground-based tracking measurements, such as range and Doppler, conducted between Earth stations and Mars orbiters. However, these tracking methods encounter limitations in terms of observation accuracy and signal attenuation. Given the successful application of the satellite-to-satellite tracking technique in determining Earth's gravity field, as well as improving the resolution of the lunar gravity field, this paper explores its potential application to the determination of the Martian static gravity field. The objective of this research is to employ numerical simulation to assess the improvement in the precision of the Martian static gravity field achievable with the low–low satellite-to-satellite tracking (ll-SST) technique, considering various conditions, including observation durations, measurement noises, and orbital altitudes. The findings show that the intersatellite ranging system considerably enhances the global resolution of the gravity field, using the ll-SST technique at an orbital altitude of 300 km and a SST measurement noise of 1 μm s−1, the global resolution can reach at least degree 120. Reducing the measurement noise by an order of magnitude can increase the global resolution of the gravity field by 20 degrees for 300 km altitudes, and 16 degrees for 400 km altitudes. Reducing the orbital altitude by 100 km (from 400 to 300 km) results in a 20 degrees improvement in the global resolution of the gravity field.

Successful treatment of megaesophagus with sildenafil in juvenile Pacific harbor seals (Phoca vitulina richardii) undergoing rehabilitation.

To describe the outcome of megaesophagus in harbor seal pups undergoing rehabilitation from January 2021 to December 2023. 5 harbor seal (Phoca vitulina richardii) pups, 2 males and 3 females, were included in the study. All 5 cases had no clinical signs associated with megaesophagus on initial presentation to the rehabilitation facility. Case 1 presented with regurgitation, diarrhea, bloating, and poor gain of body mass starting 24 days into rehabilitation. Case 2 presented with regurgitation and bloating on day 12. Case 3 presented with hyporexia, bloating, poor gain of body mass, and regurgitation between days 55 and 60. Case 4 presented with lethargy, diarrhea, and regurgitation starting on day 12 of rehabilitation. Case 5 presented with difficulty gavage feeding 14 days into rehabilitation and regurgitation starting day 28. Radiographs in all 3 cases revealed dilation of the esophagus and gas distention of the stomach and intestines, consistent with megaesophagus. Cases 1, 2, and 3 were treated with 1 mg/kg sildenafil by mouth every 12 hours for 14 days at the time of diagnosis. Cases 1 and 2 showed improvement in radiographic lesions and resolution of clinical signs after treatment and were released after 1 and 3 months of posttreatment monitoring respectively. None of the clinical signs returned after medications were discontinued. Postrelease survival was monitored in case 2 via a satellite-linked transmitter for 39 days. Case 3 was euthanized due to worsening lethargy, difficulty tube feeding, and continued loss of body mass after 6 days of treatment. Case 4 was euthanized at the time of diagnosis of megaesophagus on radiographs due to dull mentation and declining clinical status, and case 5 died a few hours after diagnosis of megaesophagus on radiographs before sildenafil treatment could be initiated. Sildenafil successfully managed megaesophagus in 2 of 3 P vitulina richardii juveniles. This case series highlights that sildenafil may be a potential treatment option for megaesophagus in P vitulina richardii pups undergoing rehabilitation. Based on the results of these cases, it is hypothesized that megaesophagus in rehabilitated harbor seals is not always a congenital defect but possibly an iatrogenic condition.

Case report: HSV lymphadenitis in immunocompromised patient with CLL

BackgroundRichter’s transformation (RT) in chronic lymphocytic leukemia (CLL) is associated with poor prognosis and requires prompt modifications in patient care. CLL patients are susceptible to severe infections due to immune dysregulation induced by their malignancy and immunosuppressive therapies.Case presentationWe present a case of a 63-year-old man with CLL who previously achieved remission and presented with a right inguinal mass. He was diagnosed with Rai Stage I CLL with del6q, without TP53 mutation, and treated with 6 cycles of fludarabine, cyclophosphamide, and rituximab (FCR) 6 years prior. Transformed CLL was suspected based on his lymphadenopathy, elevated lactate dehydrogenase, and constitutional symptoms, but excisional biopsy unexpectedly revealed herpes simplex virus (HSV)-1 and HSV-2, indicating a diagnosis of HSV lymphadenitis concurrent with CLL relapse with no transformation but acquisition of 17p deletion consistent with clonal evolution. The patient received three courses of dexamethasone and acyclovir, leading to successful clearance of the infection, evidenced by the resolution of his B symptoms. Subsequently, he was treated for the CLL recurrence with rituximab and venetoclax, demonstrating a favorable response with significant improvement in adenopathy and resolution of lymphocytosis.DiscussionThis case highlights the possibility of reactivated dormant viral infections in the context of CLL relapse, underscoring the importance of comprehensive evaluation in CLL patients presenting with lymphadenopathy. Due to immunosuppressive defects and iatrogenic hypogammaglobulinemia, patients with CLL face an increased risk of viral infections, with HSV reactivation occurring more frequently and severely in the setting of hematologic malignancies and dysregulated T-cell immunity. Timely administration of antiviral therapy is crucial for HSV lymphadenitis to prevent rapid progression and debilitating symptoms. This case demonstrates the importance of considering atypical viral infection presentations in CLL patients and emphasizes the necessity of timely and adequate biopsies to differentiate between CLL transformation, HSV lymphadenopathy, and other causes of lymphadenopathy while avoiding unnecessarily aggressive lymphoma therapy.

Optical fiber multimode interference sensors using spatial multiplexing

Multimode fiber (MMF) sensors based on intermodal interferences have been widely studied due to their advantages of easy manufacture and high sensitivity. We introduced the scheme of spatial multiplexing to MMF sensors for improvement of resolution. A seven-core fiber (SCF) was fused with the NCF sensing head with a slight misalignment. Therefore, each core of the SCF has different coupling coefficients with the NCF due to its particular location at the cross section of the fusion point. The NCF sensor head was then shared by multiple cores and thus can be considered to be multiplexing. In addition, traditional demodulation method based on transmission spectrum mainly depends on the tracking spectral peaks or dips, where only a portion of spectrum data were utilized. To address this limitation, we further proposed a deep convolutional network to interrogate the spectrum that can exploit the whole spectrum data. The measurements of temperature and liquid refractive index were demonstrated in experiments. With the help of spatial multiplexing and deep learning algorithm, the resolution of temperature and refractive index of 0.0054°C and 2.25×10-5 RIU were obtained, about ten times improvement of the traditional NCF sensor. Our proposed spatial multiplexing offers a simple way to enhance the resolution without extra processing of the NCF.

Frequency Control of a Frequency-to-voltage Converter for Distance Resolution Improvement of an FMCW LiDAR

Frequency Control of a Frequency-to-voltage Converter for Distance Resolution Improvement of an FMCW LiDAR

Super-resolution ultrasound imaging of ischaemia flow: An in silico study.

Super-resolution ultrasound (SRU) is a new ultrasound imaging mode that promises to facilitate the detection of microvascular disease by providing new vascular bio-markers that are directly linked to microvascular pathophysiology, thereby augmenting current knowledge and potentially enabling new treatment. Such a capability can be developed through thorough understanding as articulated by means of mathematical models. In this study, a 2D numerical flow model is adopted for generating flow adaptation in response to ischaemia, in order to determine the ability of SRU to register the resulting flow perturbations. The flow model results demonstrate that variations in flow behaviour in response to locally induced ischaemia can be significant throughout the entire vascular bed. Measured velocities have variations that are dependent on the location of ischaemia, with median values ranging between 2-7 mms-1. Moreover, the distinction between healthy and ischaemic networks are recorded accurately in the SRU results showing excellent agreement between SRU maps and the model. Up to 7-fold spatial resolution improvement to conventional contrast ultrasound was achieved in microbubble localisation while the detection precision and recall was consistently above 98%. The microbubble tracking precision was of a similar accuracy, whereas the recall was reduced (77%) under varying ischaemic impacted flow. Further, regions with velocities up to 30 mms-1 are in excellent agreement with SRU maps, while at regions that include a proportion of higher velocities, the median velocity values are within 1.28%-3.32% of the ground-truth. In conclusion, SRU is a highly promising methodology for the direct measurement of microvascular flow dynamics and may provide a valuable tool for the understanding and subsequent modelling of behaviour in the vascular bed.

Unexpected Pathway: Delayed Idiopathic Brain Edema Following Successful Stereotactic Aspiration of a Brain Abscess: A Case Report

Introduction: This article presents a rare case of idiopathic delayed brain edema (IDE) following successful stereotactic aspiration of a deeply seated brain abscess in a five-year-old child. Case Presentation: The patient underwent frameless stereotactic aspiration of a brain abscess. Despite successful abscess resolution and initial improvement, the child developed severe cerebral edema one month later, necessitating left decompressive craniectomy, additional interventions, and prolonged hospitalization. Conclusions: This paper outlines the clinical trajectory, diagnostic challenges, and management strategies employed, highlighting the unique presentation of delayed IDE in the pediatric population. The findings contribute to understanding IDE and its management after abscess resolution, particularly in young patients.

Kidner Procedure Without Implant Fixation in Accessory Navicular Patient, has a Good Outcome After 1-Year Evaluation at Prof. IGNG Ngoerah Hospital: A Case Report

Introduction: The accessory navicular bone (ANB) is a common developmental anomaly that may cause foot pain, morbidity, and even flatfoot deformity in symptomatic individuals. The Kidner procedure is a widely accepted surgical treatment for symptomatic ANB, typically involving removal of the ANB and reattachment of the posterior tibial tendon. This case report presents a successful 1-year follow-up outcome of an implantless Kidner procedure in a patient with type II ANB. Case Presentation: A 44-year-old female patient presented with a 3-month history of medial-sided left foot pain, aggravated by walking long distances. Physical examination revealed a bony prominence on the inner side of the left foot, with tenderness on palpation. Radiographs demonstrated a type II ANB. The patient underwent an implantless Kidner procedure under general anesthesia, which involved excision of the accessory navicular, osteotomy of the true navicular, and advancement of the tibialis posterior tendon using ethibond sutures. Postoperative follow-ups at 3, 6, and 12 months showed gradual improvement in the American Orthopedic Foot and Ankle Society (AOFAS) score from 75 to 85 and 90, respectively, with no complications or recurrence of symptoms. Discussion: The presence of ANB, particularly type II, can result in foot pain and associated complications, requiring surgical intervention if conservative measures fail. The implantless Kidner procedure presented in this case report demonstrates favorable outcomes in symptom resolution and functional improvement. The use of sutures instead of hardware materials for tendon fixation in this modified procedure appears to be safe and effective. Conclusion: The implantless Kidner procedure is a viable surgical option for the management of symptomatic type II ANB, providing satisfactory results and functional improvement at 1-year follow-up. Further research with larger sample sizes and longer follow-up periods is needed to validate the long-term efficacy of this modified technique.

Kharif rice crop acreage and yield estimation using microwave and optical remote sensing time series satellite data: A case study of the eastern region of Maharashtra

Aim of the studyThe study aims to assess the feasibility of using remote sensing to estimate crop area and yield in a major rice-growing region of Maharashtra.Material and methodsRecent advancements in remote sensing technology, including improvements in image resolution and availability, allowed for timely data collection. The study employs a random forest classifier to identify rice crop using sentinel-1A SAR temporal backscatter satellite images. Additionally, a semi-physical method that incorporates remote sensing and physiological concepts such as Photo-synthetically Active Radiation and a fraction of PAR absorbed by the crop is used to estimate crop yield.Results and conclusionsNet Primary Product was calculated using the Monteith model. The calculation of Kharif rice yield involved considering the actual NPP, Radiation use efficiency, and Harvest index. The present study was conducted throughout two kharif seasons, 2020 and 2021. Although there are minor differences in kharif rice area and yield estimations, the model is still applicable in other significant kharif rice-growing regions of India.

Imaging Enhancement of Gas Reservoir via Full-Waveform Inversion Imaging: Case Study, Gas Field

Abstract Seismic data are essential for analyzing and characterizing reservoir distributions in oil and gas exploration. While many advances have been made to obtain accurate seismic data, conventional methods still have limitations. The main limitations include the inability to use the full wavefield and the time-consuming sequential process of preprocessing, velocity model building, and migration. These challenges have highlighted the need for more efficient and accurate data processing. Full-waveform inversion (FWI) and FWI imaging have been developed to address these drawbacks. FWI uses the full wavefield, including diving and multi-scattered waves, to predict subsurface properties. It uses an optimization that iteratively updates the model to minimize the residual between the observed and the modeled data. Moreover, FWI imaging derives seismic images in a short time by taking the directional derivative of the FWI results. Compared with conventional methods, FWI imaging, since it is based on FWI, improves the signal-to-noise ratio and mitigates migration artifacts. In this study, a case study was conducted using 3D streamer data from a deepwater gas field to demonstrate the effectiveness of FWI imaging. As the gas field contains shallow gas, conventional methods have limitations in restoring subgas zones. To overcome this, FWI imaging was introduced, and to verify its effectiveness, reverse time migration (RTM) was used for comparison. After updating the velocity model with FWI up to 25 Hz, FWI imaging and RTM were applied using the same velocity model. Compared with RTM, FWI imaging exhibited significant improvements in resolution and structural detail at various depths. Additionally, it improved lateral resolution and structural continuity and effectively suppressed noise. Furthermore, FWI imaging significantly reduces processing time by eliminating the need for preprocessing and migration. These findings suggest that FWI imaging is a promising alternative to conventional methods by providing high-quality subsurface information while reducing the processing time.

Breaking Abbe's diffraction limit with harmonic deactivation microscopy.

Nonlinear optical microscopy provides elegant means for label-free imaging of biological samples and condensed matter systems. The widespread areas of application could even be increased if resolution was improved, which the famous Abbe diffraction limit now restrains. Super-resolution techniques can break the diffraction limit but most rely on fluorescent labeling. This makes them incompatible with (sub)femtosecond temporal resolution and applications that demand the absence of labeling. Here, we introduce harmonic deactivation microscopy (HADES) for breaking the diffraction limit in nonfluorescent samples. By controlling the harmonic generation process on the quantum level with a second donut-shaped pulse, we confine the third-harmonic generation to three times below the original focus size of a scanning microscope. We demonstrate that resolution improvement by deactivation is more efficient for higher harmonic orders and only limited by the maximum applicable deactivation-pulse fluence. This provides a route toward sub-100-nanometer resolution in a regular nonlinear microscope.

Rapid and objective assessment of auditory temporal processing using dynamic amplitude-modulated stimuli

Current tests of hearing fail to diagnose pathologies in ~10% of patients seeking help for hearing difficulties. Neural ensemble responses to perceptually relevant cues in the amplitude envelope, termed envelope following responses (EFR), hold promise as an objective diagnostic tool to probe these ‘hidden’ hearing difficulties. But clinical translation is impeded by current measurement approaches involving static amplitude modulated (AM) tones, which are time-consuming and lack optimal spectrotemporal resolution. Here we develop a framework to rapidly measure EFRs using dynamically varying AMs combined with spectrally specific analyses. These analyses offer 5x improvement in time and 30x improvement in spectrotemporal resolution, and more generally, are optimal for analyzing time-varying signals with known spectral trajectories of interest. We validate this approach across several mammalian species, including humans, and demonstrate robust responses that are highly correlated with traditional static EFRs. Our analytic technique facilitates rapid and objective neural assessment of temporal processing throughout the brain that can be applied to track auditory neurodegeneration using EFRs, as well as tracking recovery after therapeutic interventions.

High range resolution spectral-scanning LiDAR based on optical frequency-domain reflectometry.

Spectral scanning, which utilizes the dispersive effect of light, is a simple and robust method for solid-state beam steering in light detection and ranging (LiDAR) applications. Powered by a tunable laser source, optical frequency-domain reflectometry (OFDR) is a high-precision measurement scheme that is inherently compatible with spectral scanning. Here, we propose a spectral-scanning LiDAR based on OFDR technology and demonstrate that, by connecting the measured spectral reflectivity and group delay of the targets with the dispersion equation, their cloud point data can be obtained. Moreover, compared to the spectral-scanning LiDAR based on the frequency-modulated continuous-wave (FMCW) ranging method, our proposed LiDAR scheme offers a more than tenfold improvement in range resolution with a large number of angular pixels. This enhancement enables high-resolution 3D imaging along both the angular and range axes.

Association of Cigarette-E-Cigarette Transitions With Respiratory Symptom Resolution.

Adults increasingly use e-cigarettes for cigarette cessation because of the perceived reduced risk. While e-cigarette use is associated with reduced toxicant exposure compared with smoking, it is unclear whether transitioning from cigarettes to e-cigarettes is associated with resolution of respiratory symptoms. Data were obtained from the Population Assessment of Tobacco and Health (PATH) study waves 1-5. US adult participants were separated into observations with cigarette-e-cigarette exposure intervals determined from PATH waves 1-2, 2-3, and 3-4. Observations were included if the participant reported exclusively smoking at baseline and reported a baseline cough or wheeze. Mixed-effect Poisson models measured the association between cigarette-e-cigarette transitions over the two-wave exposure interval (from smoking to nonuse, exclusive e-cigarette use, continued smoking, or dual use) and the reported resolution of the participant's cough or wheeze. Among 5210 (3362 unique) observations, transitioning from cigarettes to e-cigarettes was associated with increased rates of wheeze resolution (incidence rate ratio [IRR] = 1.33; 95% confidence interval [CI] = 1.01 to 1.75) but not cough resolution (IRR = 1.18; 95% CI = 0.93 to 1.50) compared with persistent smoking. Cigarette to dual-use transitions were not associated with improvements in symptom resolution, and those who switched to dual use and maintained or increased their smoking intensity had 15% decreased rates of respiratory symptom resolution compared with persistent smoking. E-cigarette-assisted smoking cessation may increase rates of respiratory symptoms resolution among smokers who completely transition to e-cigarettes; however, there is risk for additional harm among those who initiate e-cigarette use without decreasing their smoking intensity. Government agencies are increasingly weighing the risks and benefits of e-cigarette-assisted cigarette cessation given the reduced harm associated with e-cigarette use. This study provides novel evidence that completely transitioning from cigarettes to e-cigarettes is associated with increased rates of resolution from self-reported wheeze symptoms. However, risk exists in e-cigarette-assisted cigarette cessation, as those who transitioned from exclusive cigarette smoking to dual use and did not reduce their cigarette smoking intensity had decreased rates of respiratory symptom resolution compared with persistent smokers.

Neonatal Miliaria Pustulosa-A Case Series.

Miliaria pustulosa is a noninfectious, transient skin eruption of pustules overlying erythematous plaques secondary to obstruction of eccrine glands. There are very few case reports in the literature detailing miliaria pustulosa in neonates. When presenting in neonates, its similarity to life-threatening infections may cause diagnostic confusion. By differentiating this condition from similar presentations, unnecessary treatments and tests in this population may be avoided. Retrospective review of the medical records of nine neonates presenting with a pustular eruption diagnosed as miliaria pustulosa. Patients were seen at a children's hospital in Chicago, IL, USA; cases were selected by investigator recall. In this case series, miliaria pustulosa presents in nine neonates as clusters of eruptive pustules with resolution or significant improvement noted after an average of 2.6 days (range 1-5 days). The average age was 4.6 days (range 1-10 days old) and the average gestational age was 34.7 weeks (range 26.3-40.1 weeks). All patients had pustular outbreaks in areas occluded by swaddling, clothes, or adhesive. Seven patients had geometric lesions that were underlying sites of intravenous (IV) site adhesive or electrocardiogram (EKG) leads. The consistent morphological features of this pustular eruption at sites of skin occlusion and the transient course in the setting of an otherwise well-appearing infant are strongly suggestive of the diagnosis of miliaria pustulosa. It is important for clinicians to be familiar with this benign presentation and to differentiate it from other neonatal pustular eruptions to minimize invasive tests and treatments in this vulnerable population.

Integrating Super-Resolution with Deep Learning for Enhanced Periodontal Bone Loss Segmentation in Panoramic Radiographs.

Periodontal disease is a widespread global health concern that necessitates an accurate diagnosis for effective treatment. Traditional diagnostic methods based on panoramic radiographs are often limited by subjective evaluation and low-resolution imaging, leading to suboptimal precision. This study presents an approach that integrates Super-Resolution Generative Adversarial Networks (SRGANs) with deep learning-based segmentation models to enhance the segmentation of periodontal bone loss (PBL) areas on panoramic radiographs. By transforming low-resolution images into high-resolution versions, the proposed method reveals critical anatomical details that are essential for precise diagnostics. The effectiveness of this approach was validated using datasets from the Chungbuk National University Hospital and the Kaggle data portal, demonstrating significant improvements in both image resolution and segmentation accuracy. The SRGAN model, evaluated using the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) metrics, achieved a PSNR of 30.10 dB and an SSIM of 0.878, indicating high fidelity in image reconstruction. When applied to semantic segmentation using a U-Net architecture, the enhanced images resulted in a dice similarity coefficient (DSC) of 0.91 and an intersection over union (IoU) of 84.9%, compared with 0.72 DSC and 65.4% IoU for native low-resolution images. These results underscore the potential of SRGAN-enhanced imaging to improve PBL area segmentation and suggest broader applications in medical imaging, where enhanced image clarity is crucial for diagnostic accuracy. This study also highlights the importance of further research to expand the dataset diversity and incorporate clinical validation to fully realize the benefits of super-resolution techniques in medical diagnostics.

Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy

ABSTRACTWater structures take an important role in chemical and biological systems, because the structure and function of a molecule may depend on the structure of water with which the molecule interacts. Near‐infrared (NIR) spectroscopy has been proven to be powerful in analyzing the structure of water due to its sensitive response to OH. However, chemometrics is vitally important in the analysis of NIR spectrum of water due to the low resolution of the spectrum and the complexity of the water structures. In this review, chemometric methods for structural analysis of water in aqueous systems, particularly in chemical and biological processes, by NIR spectroscopy were summarized, from the improvement of spectral resolution to the effective extraction of the spectral information of different water structures. Through the changes of the spectral features of the water structures, the structural transformation of proteins, thermo‐responsive polymers, antifreeze agents, as well as the structural variation of water in the transformation were elucidated. Water was proved to be a good probe for analyzing the structure and interactions in aqueous solutions and chemical/biological processes by NIR spectroscopy.

Mitigating coarse spatial reconstruction to generate missing bands for the HLS dataset

Abstract. The Harmonized LandSat-Sentinel (HLS) dataset has significantly advanced Earth Observation by integrating data from Landsat and Sentinel satellites. However, challenges persist in achieving spectral band parity between LandSat and Sentinel-derived HLS products. This paper presents an extended investigation aimed at enhancing spatial reconstruction accuracy to enable spectral band parity within HLS products. Building upon our previous work, which utilized generative neural networks to address partial feature mismatches between S30 and L30 products, we introduce a refined approach that fully integrates a Self-Supervised Learning (SSL)-pretrained encoder into a U-Net architecture. This method aims to access multi-scale features and improve spatial reconstruction accuracy, addressing the limitations in spatial resolution observed in our earlier study. Our methodology incorporates a comprehensive ablation study to assess various SSL-pretrained backbone architectures. Preliminary results demonstrate significant improvements in spatial reconstruction accuracy compared to our previous work. The adapted U-Net architecture, leveraging SSL-pretrained encoders, shows enhanced capability in capturing intricate spatial features within the HLS dataset. Our experiments demonstrate a substantial improvement in spatial resolution and feature reconstruction for L30 products, particularly in bands not natively present in Landsat data, paving the way for more accurate multi-sensor analyses.

Comparative Efficacy of Different Pharmacological Treatments for Pityriasis Rosea: A Network Meta-Analysis.

Background/Objectives: Pityriasis rosea (PR) is a self-limiting exanthematous disease associated with the endogenous reactivation of human herpesviruses (HHV)-6 and HHV-7. Classically, the lesions gradually resolve, leaving no sequelae. Therefore, the best treatment is reassuring the patient and suggesting a resting period. However, atypical PR cases characterized by extensive, persistent lesions and systemic symptoms may impact the patient's quality of life, and, therefore, a treatment can be prescribed. There is limited evidence on the comparative effectiveness of pharmacological treatments for PR; therefore, we performed a network meta-analysis to compare these interventions. Methods: Overall, 12 randomized control trials (RCTs) were identified. The outcomes were itch resolution and rash improvement. Results were expressed as risk ratio (RR) and 95% confidence interval (CI). We also calculated the relative ranking of the interventions for achieving the aforementioned outcomes as their surface under the cumulative ranking (SUCRA). Results: On network meta-analysis, only oral steroids and the combination of oral steroids+antihistamine resulted significantly superior to the placebo in terms of itch resolution (RR 0.44, CI 0.27-0.72 and RR 0.47, CI 0.22-0.99). Oral steroids resulted in the best treatment (SUCRA 0.90) for itch resolution. In terms of rash improvement, only acyclovir and erythromycin resulted significantly superior to placebo (RR 2.55, CI 1.81-3.58; and RR 1.69, CI 1.23-2.33), and acyclovir outperformed all the other tested interventions. Consequently, acyclovir ranked as the best intervention (SUCRA score 0.92). Conclusions: Acyclovir represents the best option for patients with PR that have extensive, persistent lesions or systemic symptoms. Steroids and antihistamines seemed the best treatment for itch resolution.

Data analysis procedures to improve energy resolution in silicon detectors using GET electronics

This study primarily focuses on improving the energy resolution of Double-Sided Silicon Strip Detectors (DSSSD) through optimized data analysis procedures using General Electronics for Time Projection Chambers (GET). We introduce two edge identification algorithms that demonstrate comparable efficacy. These methods are subsequently integrated with various techniques for measuring pulse amplitude, including sample smoothing and pole-zero cancellation. Notably, sample smoothing significantly enhances performances, achieving a resolution of 0.33% with DSSSD α calibration data. Additionally, we describe and apply the trapezoidal filter, examining its impact on resolution improvement and obtaining comparable results. The study also evaluates how internal GET parameters, specifically the sampling frequency and the shaping time of the Sallen-Key (SK) low-pass filter, affect signal resolution. Higher sampling frequencies and lower values of the SK filter were found to increase performance.