Single Series Research Articles

A single-surgeon experience with the internal joint stabilizer of the elbow across 56 cases

BackgroundRecurrent instability continues to plague outcomes of elbow trauma. Adjuvant stabilization - whether internal or external - is intended to acutely stabilize the elbow and off-load the repair construct(s) during early mobilization. Our objective was to report clinical outcomes for a single surgeon consecutive series using the internal joint stabilizer (IJS) of the elbow. Further, we intend to describe technical points that have been gleaned from the experience which may provide guidance. MethodsA retrospective follow-up was performed for cases of elbow instability treated with the IJS (Skeletal Dynamics, Miami, Florida, USA) from 2016-2023 with a minimum requirement of six months follow-up. Clinical outcomes and complications including recurrent instability were compiled. ResultsOf 87 potential cases, 56 met the inclusion criteria. Simple dislocations (30%) and terrible triad injury (21%) were the most common injury patterns. The mean MEPS was 81 and the mean DASH score was 22.5. Recurrent instability occurred in 5.3% of cases. The mean time to removal was 21.1 weeks. DiscussionOur utilization of the internal joint stabilizer of the elbow has evolved from simple dislocations to complex instability cases. Results demonstrated satisfactory clinical outcomes with low rates of recurrent instability and revision. The ability for early mobilization was a critical determinant for using an IJS in these cases. This advantage carried particular importance in cases that presented subacutely following an extended course of immobilization. Our protocol for removal timing is applied on a case-by-case basis and involves identification of sufficient rehabilitation and clinical stability.

Variational inference of single cell time series.

Time course single-cell RNA sequencing (scRNA-seq) enables researchers to probe genome-wide expression dynamics at the the single cell scale. However, when gene expression is affected jointly by time and cellular identity, analyzing such data - including conducting cell type annotation and modeling cell type-dependent dynamics - becomes challenging. To address this problem, we propose SNOW (SiNgle cell flOW map), a deep learning algorithm to deconvolve single cell time series data into time-dependent and time-independent contributions. SNOW has a number of advantages. First, it enables cell type annotation based on the time-independent dimensions. Second, it yields a probabilistic model that can be used to discriminate between biological temporal variation and batch effects contaminating individual timepoints, and provides an approach to mitigate batch effects. Finally, it is capable of projecting cells forward and backward in time, yielding time series at the individual cell level. This enables gene expression dynamics to be studied without the need for clustering or pseudobulking, which can be error prone and result in information loss. We describe our probabilistic framework in detail and demonstrate SNOW using data from three distinct time course scRNA-seq studies. Our results show that SNOW is able to construct biologically meaningful latent spaces, remove batch effects, and generate realistic time-series at the single-cell level. By way of example, we illustrate how the latter may be used to enhance the detection of cell type-specific circadian gene expression rhythms, and may be readily extended to other time-series analyses.

Retrograde open mesenteric stenting and outcomes for acute mesenteric ischemia.

Data regarding retrograde open mesenteric stenting (ROMS) for urgent mesenteric ischemia is limited to small single center and case series, with variable utilization across patient populations and ill-defined outcomes. We aimed to evaluate characteristics and outcomes of patients with acute mesenteric ischemia requiring urgent surgical intervention. Retrospective cohort study of patients with mesenteric ischemia requiring urgent surgical intervention from 2018 to 2020 was queried from the National Inpatient Sample (NIS) database. Study groups were defined as those requiring an open bypass (BYPASS), an open superior mesenteric artery embolectomy (OPEN), or ROMS. Descriptive statistics were used to report variables. Comparisons were mad using t test, chi-squares tests, and multivariate regression reported as odds ratio (OR), 95% confidence interval (CI) where appropriate. 898 patients with mesenteric ischemia requiring urgent surgical intervention were included: Bypass: 284, OPEN: 363, ROMS: 251. There was no difference in gender or race between groups. Patients requiring ROMS were more likely to be older 70.2 + 11.3versus Bypass 66.81 + 11.6 and OPEN 67.17 + 14.5, p = 0.0035. ROMS patients had the highest Charlson Comorbidity Index (CCI) 2.9 versus 2.5 Bypass and 2.6 OPEN, p = 0.0292 with the most frequent comorbidities: Diabetes 37% (p = 0.01), renal disease 24.3% (p = 0.5), and previous preoperative myocardial infarction 9.2%, p = 0.05; however, the lowest mortality rate was seen within this Group 15.9% versus bypass 19.7%, OPEN 34.5%, p < 0.0001. Patients requiring bypass were more likely to have chronic pulmonary disease 34.5% versus OPEN 24.2% and ROMS 31.5%, p = 0.013, peripheral vascular disease (PVD) 38% versus OPEN 16%, and ROMS 29.9%, p < 0.0001. On multivariate regression, ROMS was associated with 50% decreased incidence of mortality (OR 0.45, 95% CI 0.27-0.75). Open SMA embolectomy was associated with nearly 2x mortality rate compared to bypass procedures OR 2.0, 95% CI 1.3-3.0, p < 0.001. Previous MI was also associated with nearly 2x incidence of mortality (OR 1.9, 95% CI 1.01-3.6), while pre-existing PVD conferred a protective effect (OR 0.56, 95% CI 0.36-0.89). Higher CCI and age were associated with slightly increased risk for mortality OR 1.2 and 1.03, p < 0.05 for both. In patients with acute mesenteric ischemia, ROMS demonstrated a significant mortality benefit compared to traditional open procedures. Advanced age, history of MI, and open SMA embolectomy were associated with increased mortality. Little data exists regarding ROMS in a real-world population evaluating ROMS, which is a newer technique. These data suggest that ROMS may be a superior alternative to restore mesenteric flow in the acute setting and further prospective studies evaluating ROMS to other procedural types in urgent and elective settings are needed.

Minimally Invasive Anterolateral Cervical Cordotomy for Intractable Cancer Pain Using Microtubular Retractors: A Single Institution Case Series.

As advancements in cancer treatments have allowed patients with a high burden of disease to live longer, the number of patients who present with debilitating refractory pain has increased. Anterolateral cordotomy has long been used for the treatment of intractable unilateral cancer pain using either an imaging-guided percutaneous approach or an open surgical approach. In this report, we describe a novel minimally invasive modification to the open surgical approach. It combines the benefits of both approaches by providing direct visualization for lesioning without the collateral tissue damage of an open approach. This retrospective study evaluated medical records, operative reports, and imaging studies of patients who underwent a minimally invasive cordotomy at a single institute between 2018 and 2022. The surgical technique involved a microscope-assisted C2 hemilaminectomy using microtubular retractors followed by dural opening and anterolateral cordotomy under direct visualization and with intraoperative neurophysiological monitoring. Eleven patients were included in the study. None were converted to an open approach, and no wound-related postoperative complications were observed. A clinically significant decrease in pain was observed after the procedure, and 10 of the 11 patients (91%) were ambulatory by the time of analysis. Compared with image-guided percutaneous cordotomy, anterolateral cervical cordotomy with microtubular retractors potentially improves the safety of the procedure through direct visualization while being less invasive than a conventional open approach. Our preliminary experience with this technique demonstrates the feasibility of the approach, as it was both safe and effective.

Minimally invasive far lateral tubular microdiscectomy: surgical technique and case series of 176 patients.

Far lateral (extraforaminal) disc herniations comprise approximately 10% of symptomatic lumbar disc herniations. They represent operative challenges due to accessibility and surgical unfamiliarity. Surgical strategies in the past have included open discectomy and posterior lumbar interbody fusion. Tubular microdiscectomies have gained traction due to their minimally invasive advantages, including reduced morbidity, pain and length of hospital stay. We report our retrospective single institution consecutive case series of tubular far lateral microdiscectomies. One hundred and seventy-six patients were operated on over an eight-year period. Clinical outcomes were assessed after institutional ethics approval. We additionally describe our surgical technique with an illustrative video case. Over a mean follow-up of 21 weeks, 77% of patients had good or excellent clinical outcomes according to the MacNab criteria. 12% of patients underwent reoperation at the index level for symptom recurrence or persistence. Mean length of hospital stay was 1.3 days. There was a 1% rate of both postoperative haematoma and infection. Mean operation duration was 86minutes. This case series represents the largest currently reported in the literature. Minimally invasive microdiscectomies performed through tubes allow for precise localisation, reduced tissue disruption and favourable clinical outcomes. Our results appear consistent with a review of the literature, demonstrating the safety and efficacy of this approach.

Emergency robotic surgery: the experience of a single center and review of the literature

BackgroundsLaparoscopic surgery is widely used in abdominal emergency surgery (AES), and the possibility of extending this approach to the more recent robotic surgery (RS) arouses great interest. The slow diffusion of robotic technology mainly due to high costs and the longer RS operative time when compared to laparoscopy may represent disincentives, especially in AES. This study aims to report our experience in the use of RS in AES assessing its safety and feasibility, with particular focus on intra- and post-operative complications, conversion rate, and surgical learning curve. Our data were also compared to other experiences though an extensive literature review.MethodsWe retrospectively analysed a single surgeon series of the last 10 years. From January 2014 to December 2023, 36 patients underwent urgent or emergency RS. The robotic devices used were Da Vinci Si (15 cases) and Xi (21 cases).Results36 (4.3%) out of 834 robotic procedures were included in our analysis: 20 (56.56%) females. The mean age was 63 years and 30% of patients were ≥ 70 years. 2 (5.55%) procedures were performed at night. No conversions to open were reported in this series. According to the Clavien-Dindo classification, 2 (5.5%) major complications were collected. Intraoperative and 30-day mortality were 0%.ConclusionsOur study demonstrates that RS may be a useful and reliable approach also to AES and intraoperative laparoscopic complications when performed in selected hemodynamically stable patients in very well-trained robotic centers. The technology may increase the minimally invasive use and conversion rate in emergent settings in a completely robotic or hybrid approach.

Modeling and Analysis of Monkeypox Outbreak Using a New Time Series Ensemble Technique

The coronavirus pandemic has raised concerns about the emergence of other viral infections, such as monkeypox, which has become a significant hazard to public health. Thus, this work proposes a novel time series ensemble technique for analyzing and forecasting the spread of monkeypox in the four highly infected countries with the monkeypox virus. This approach involved processing the first cumulative confirmed case time series to address variance stabilization, normalization, stationarity, and a nonlinear secular trend component. After that, five single time series models and three proposed ensemble models are used to estimate the filtered confirmed case time series. The accuracy of the models is evaluated using typical accuracy mean errors, graphical evaluation, and an equal forecasting accuracy statistical test. Based on the results, it is found that the proposed time series ensemble forecasting approach is an efficient and accurate way to forecast the cumulative confirmed cases for the top four countries in the world and the entire world. Using the best ensemble model, a forecast is made for the next 28 days (four weeks), which will help understand the spread of the disease and the associated risks. This information can prevent further spread and enable timely and effective treatment. Furthermore, the developed novel time series ensemble approach can be used to forecast other diseases in the future.

A hybrid reanalysis-forecast meteorological forcing data for advancing climate adaptation in agriculture

Climate variability in the growing season is well suited for testing adaptation measures. Adaptation to adverse events, such as heatwaves and droughts, increases the capacity of players in agri-food systems, not only producers but also transporters and food manufacturers, to prepare for production disruptions due to seasonal extremes and climate change. Climate impact models (e.g., crop models) can be used to develop adaptation responses. To run these models, historical records and climate forecasts need to be combined as a single daily time series. We introduce the daily 0.5° global hybrid reanalysis-forecast meteorological forcing dataset from 2010 to 2021. The dataset consists of the Japanese 55-yr Reanalysis (JRA55) and the Japan Meteorological Agency/Meteorological Research Institute Coupled Prediction System version 2 (JMA/MRI-CPS2) 5-member ensemble forecast. Both are bias-corrected using the Delta method and integrated with a baseline climatology derived from the Environmental Research and Technology Development Fund’s Strategic Research 14 Meteorological Forcing Dataset (S14FD). The dataset is called JCDS (JRA55-CPS2-Delta-S14FD) and offers a framework for monitoring and forecasting applications towards adaptation.

Concurrent Multifrequency Complex to Real Impedance Matching Network for RF Applications

This paper presents a novel technique for matching complex loads to a real source concurrently at uncorrelated frequencies under any load conditions. In the proposed method, a branched stub adds susceptances to the load admittances such that the adjusted loads for all the frequencies can be shifted to g = 1 circle using a single series transmission line; hence matching the real part of the admittances. The left-over susceptance is cancelled through another branched stub. Its adaptability allows it to increase the number of bands by adding transmission lines to the branched stubs. The structure is not subject to any fabrication-related limitations because all the transmission lines used in the design have a characteristic impedance of 50 Ohms. The concept has been validated by designing a prototype matching network for N = 3 and extending it to N = 4, and N = 5 by adding elements to the branched stubs. All the structures are fabricated on ROGERS RO4003 substrate with a dielectric constant, er = 3.38 and height, h = 20 mils. The simulated and the measured results are in good accordance.

Research on diagnosis method of motor vibration signal based on MSCNN-LSTM

Abstract Vibration signal is often considered an important basis for diagnosing motor faults. However, the original vibration signal features a single time series that needs to be shorter. This paper introduces a fault diagnosis approach, MSCNN-LSTM, which integrates a multi-scale one-dimensional convolutional neural network with a long short-term memory network, reflecting the ongoing advancements in deep learning for fault diagnosis. Convolution kernels of varying sizes are accustomed to realizing information integration of various scales and broadening the dimensions of vibration signals. In addition, one-dimensional convolution networks effectively solve the problem of excessively long timing of original signals, and LSTM captures timing dependence for diagnosing motor faults. The experimental results indicate that MSCNN-LSTM has high accuracy in motor fault diagnosis based on vibration signals.

Methodological constrains of tree-ring stable isotope chronologies

Tree-ring stable isotope (TRSI) chronologies that combine information from living and relict wood have the potential to capture long-term trends that might be missing in traditional tree-ring width and maximum latewood density measurements. Our understanding of the possible effects of different methods to develop TRSI chronologies is, however, still incomplete. Here, we compare and evaluate five such methods applied to three multi-millennial-long oxygen isotope (δ18O) TRSI datasets from central Europe, the European Alps and Japan: (a) raw data, (b) cohort correction, (c) interactive mean correction, (d) outlier correction, and (e) series normalization. We show that the spectral properties preserved in the final TRSI chronologies not only depend on the data used, but also on the techniques applied. Method (a) is particularly prone to outliers if the sample size is low. Method (b) may create artificial steps and trends when single measurement series share similar start dates and/or when end and start dates are systematically skewed. Methods (c) and (d) yield similar results for annually resolved data, yet (d) is more suitable for temporally pooled datasets and less sensitive to potential biological age effects. Method (e) removes any low-frequency signal. Our findings demonstrate the risks and rewards of different TRSI chronology development techniques that must be carefully adapted to both, the data used and the question posed.

Responsive neurostimulation in pediatric epilepsy: a systematic review and individual patient meta-analysis supplemented by a single institution case series in 105 aggregated patients.

To assess responsive neurostimulation (RNS) efficacy in pediatric patients with drug-resistant epilepsy, comparing response (≥ 50% reduction in seizure frequency) rates between patients with two or fewer seizure foci and those with multifocal or generalized epilepsy. This study seeks to address the gap in knowledge regarding RNS effectiveness in pediatric populations. A systematic review and meta-analysis included data from PubMed, Embase, and Web of Science through November 2023, including 17 retrospective studies and a case series of 24 patients from our practice for a total of 105 aggregated patients. The inclusion criteria of patients were age 18 and diagnosis of DRE. Exclusion criteria were nonhuman subjects and cases where RNS was not utilized to treat DRE. Study inclusion criteria were detailing the use of RNS and comparing patients with 2 foci with other focalities. Study exclusion criteria were failure to specify RNS lead placement or type of epilepsy. The risk of bias was assessed using the ROBINS-I tool for all non-randomized studies. Effect sizes and variances were aggregated to provide a comprehensive measure of RNS efficacy, and heterogeneity among the studies was assessed using I2 statistics and Cochran's Q test to evaluate the consistency of the findings. Statistical analyses were conducted using IBM SPSS. We analyzed demographics, epilepsy history, treatment outcomes, and RNS details using descriptive and inferential statistics, including Wilcoxon-Mann-Whitney, Fisher's exact, and chi-squared tests. This systematic review was not registered. Seventeen retrospective studies and a single-institution case series, encompassing 105 pediatric patients, were analyzed. Effect sizes and confidence intervals were calculated to quantify treatment effects. Analyses revealed that RNS reduces seizure frequency across a spectrum of pediatric epilepsy syndromes, irrespective of the seizures' focal, multifocal, or generalized origins. The effectiveness of RNS was not influenced by the patient's sex, age at epilepsy onset, or presence of neurological and psychiatric comorbidities. Prior vagus nerve stimulation surgery and the presence of an epileptic syndrome were factors associated with a lower likelihood of near-complete seizure remission with RNS, underscoring the complexities of treating patients with generalized epilepsies or previous interventional failures. The necessity of further research into individualized surgical strategies for patients was underscored by the mixed results of comparisons of electrode characteristics with responder rates. Limitations of our study include its reliance on retrospective studies, which introduces potential bias and limits the ability to infer causality. RNS is a safe and effective treatment in pediatric patients with DRE across demographic, comorbidity, and focality variability. FDA age and focality restrictions, along with patient and physician hesitancy, may be limiting the potential for effective treatment of pediatric DRE with RNS. Prospective randomized trials are recommended to validate these findings.

Extracorporeal life support use in patients with bronchopulmonary dysplasia: A single center case series.

Preterm pediatric patients with bronchopulmonary dysplasia (BPD) represent a subgroup previously deemed high risk candidates for ECLS (extracorporeal life support) due to suspected high mortality or increased post ECLS morbidity. The aim of this study was to determine outcomes for patients with an established history of BPD who subsequently required ECLS. A single center retrospective review was performed between 01/2010-06/2022 for patients less than 2years of age, born prematurely (<32weeks) with a subsequent diagnosis of BPD, and who required ECLS for respiratory failure. Demographic and clinical data, including ECLS data, were collected. Speech, language, feeding/swallowing, cognitive, hearing, vision, or motor function deficits were obtained with a median follow up of 42months following discharge. Nineteen patients met criteria. The median birth weight and gestational age was 0.86kg (IQR 0.73, 1.0) and 26weeks (IQR 25, 27), respectively. The median chronological age at cannulation was 12.1months. The most common etiologies for respiratory failure requiring ECLS were viral (68.4%) and bacterial (21.1%) pneumonia. Survival to decannulation was 78.9% (15/19) and survival to hospital discharge was 63.2% (12/19). Amongst survivors to discharge, 42% (5/12) required new or additional home oxygen and 50% (6/12) were noted to have neurodevelopmental/behavioral concerns on follow up at 1year with 25% (3/12) with concerns beyond a year. Patients with underlying BPD who require ECLS have comparable mortality and long-term neurodevelopmental outcomes to non-BPD patients with respiratory failure. This information can be useful when considering ECLS candidacy and providing family counseling.

The long-term learning curve of holmium laser enucleation of the prostate (HoLEP) in the en-bloc technique: a single surgeon series of 500 consecutive cases

PurposeTo evaluate perioperative parameters, clinical outcomes, and the learning curve of holmium laser enucleation of the prostate (HoLEP) of a single surgeon in 500 consecutive cases.MethodsDemographic parameters, outcomes, and adverse events were evaluated. The learning curve for HoLEP in en-bloc technique of the first 500 consecutive patients was analyzed in clusters of 100 (clusters 1–5) using the Wilcoxen rank test, Chi² test and Kruskal Wallis test.ResultsEnucleation weight was similar in the clusters 1,2,3, and 5 (62 g, 63 g, 61 g, 61 g), in cluster 4 it was slightly higher at 73 g. There was a significant reduction in operating time from 67 min (cluster 1) to 57 min (cluster 2), 46 min (cluster 3), 53 min (cluster 4), and 43 min (cluster 5), p < 0.001. Enucleation efficiency (g/min) showed a steady increase (1.72, 2.24, 2.79, 2.92 vs. 2.99, p < 0.001). Laser energy efficiency also improved (2.17 vs. 2.12 vs. 1.71 vs. 1.65 vs. 1.55; p < 0.001). There was no measurable learning curve regarding the length of hospital stay (mean 2.5 days), catheterization time (1.9 days), hemoglobin drop (approx. 1 g/dl) or complications (p > 0.1).ConclusionsHoLEP using the en-bloc technique is a safe and highly effective method. Over time, a slight but steady learning curve and improvement in operation time, enucleation efficiency and laser energy efficiency were shown even for an experienced surgeon - after 500 cases, still no plateau was reached. There was no measurable learning curve regarding blood loss, complications, length of hospital stay, and catheterization time.

Novel five-level inverter based on DC power-capacitor series charge-discharge switching strategy

Photovoltaic power generation systems generally include four modules: solar cells, batteries, inverters and controllers. Among them, the inverter converts the direct current generated by the photovoltaic array into a power conversion device that meets the grid-connected requirements for industrial frequency alternating current, which is the key equipment for grid-connected photovoltaic power generation system. Most multilevel inverters in the market today are based on the Neutral-Point-Clamped (NPC) structure to generate voltages at different levels, and then control the magnitude and direction of the voltages through H-bridge circuits. This topology has been maturely used in three-level inverters, but if we want to build five-level, seven-level and more level numbers of inverters based on NPC, the number of capacitors used is increasing, and the circuit becomes more and more complex. Therefore, this paper proposes a five-level inverter topology based on single power supply-single capacitor series charging and discharging. (Power-capacitor series charge-discharge switching, PCSCDS). This inverter has a simple structure, comprehensible control strategy and requires only one DC power supply and one large capacitor to generate a five-level voltage. The topology is subsequently simulated and analyzed by MATLAB/Simulink simulation, which proves the effectiveness of the novel inverter.

Earthquake source inversion by integrated fiber-optic sensing

We present an earthquake source inversion using a single time series produced by integrated fiber-optic sensing in a phase noise cancellation (PNC) system used for frequency metrology. Operating on a 123 km long fiber between Bern and Basel (Switzerland), the PNC system recorded the Mw3.9 Mulhouse earthquake that occurred on 10 September 2022 around 10 km north-west of the northern fiber end. A generalised least-squares inversion in the 4 - 13 s period band constrains the components of a double-couple moment tensor with an uncertainty that corresponds to around 0.2 moment magnitude units, nearly independent of prior information. Uncertainties for hypocenter location and original time are more variable, ranging between 4 - 20 km and 0.1 - 1 s, respectively, depending on whether injected prior information is realistic or almost absent. This work is a proof of concept that quantifies the resolvability of earthquake source properties under specific conditions using a single-channel stand-alone integrated (non-distributed) fiber-optic measurement. It thereby constitutes a step towards the integration of long-range phase-transmission fiber-optic sensors into existing seismic networks in order to fill significant seismic data gaps, especially in the oceans.

The effect of SARS-CoV-2 on the incidence of post-operative venous sinus thrombosis following skull base procedures.

Sinus thrombosis is a common post-operative finding after posterior fossa surgery performed in the vicinity of the dural venous sinuses. The SARS-CoV-2 virus has been shown to confer an increased risk of venous thromboembolic events owing to eliciting a hyper-inflammatory and pro-thrombotic state. In this study, we examine the incidence of post-operative venous sinus thrombosis in patients undergoing peri-sigmoid posterior fossa surgery in the pre- and post-COVID era and investigate whether COVID infection confers an increased risk of sinus thrombosis. A retrospective review of a single institution case series of patients underwent peri-sigmoid surgery (retrosigmoid, translabyrinthine, or far lateral) approach. Relevant clinical variables were investigated that may confer an increased risk of sinus thrombosis. A total of 311 patients (178 in the pre-COVID era, and 133 operated on after the pandemic began in March 2020) are included in the study. The composite incidence of sinus thrombosis seen on post-operative imaging was 7.8%. The incidence of sinus thrombosis in the pre-COVID cohort was N = 12 patients (6.7%) versus N = 12 (9%) in the post-COVID cohort (p = 0.46). A history of COVID infection was not shown to confer an increased risk of post-operative sinus thrombosis (OR: 0.61; 95% CI: 0.08-4.79, p = 0.64). Only a small number of patients (N = 7, 2.3%) required either medical or surgical intervention for post-operative sinus thrombosis. The overall incidence of post-operative sinus thrombosis is similar in the pre- and post-COVID era. The findings of this study suggest that COVID infection is not associated with a higher risk of venous sinus thrombosis.

Frequency and clinicopathologic features of renal low-grade oncocytic tumour and eosinophilic vacuolated tumour: reclassification of 605 eosinophilic tumours including patients managed with active surveillance

AimsLow-grade oncocytic tumour (LOT) and eosinophilic vacuolated tumour (EVT) are recently described emerging entities, which demonstrate distinct features but are not yet recognised as separate neoplasms in the fifth WHO...

Gone but not forgotten: expanding the spectrum of ORISE (submucosal lifting agent) associated diagnostic pitfalls and complications

AimsA synthetic lifting agent, ORISE, used for endoscopic mucosal resections, has been recalled from the market since November 2022 due to clinical complications. Despite this, the impact of ORISE-associated complications...

A Scalable, Wide-Angle Metasurface Array for Electromagnetic Energy Harvesting.

A metasurface array for electromagnetic (EM) energy harvesting for Wi-Fi bands is presented in this paper; the metasurface array consists of a metasurface unit, a rectifier, and a load resistor. Each row of unit cells in the array is interconnected to form an energy transfer channel, which enables the transfer and concentration of incident power. Furthermore, at the terminal of the channel, a single series diode rectifier circuit and a load resistor are integrated in a coplanar manner. It is used to rectify the energy in Wi-Fi bands and enables DC energy harvesting across the load. Finally, a 5 × 7 prototype of the metasurface array is fabricated and measured for the verification of the rationality of the design. Testing in an anechoic chamber shows that the prototype achieves a 72% RF-DC efficiency at 5.9 GHz when the available incident power is about 7 dBm.