Miracle-dz/UniFAR-FTUs huggingface dataset:
The efficacy of pericapsular nerve group block for postoperative analgesia in patients undergoing hip surgery: A systematic review and meta-analysis of randomized controlled trials

Background As an optional regional anesthesia approach, pericapsular nerve group (PENG) block has been successfully utilized to manage pain for hip surgeries without affecting motor function. The present meta-analysis aimed to verify the efficacy of PENG block for postoperative analgesia in patients undergoing hip surgery. Methods A total of 497 academic articles were identified after a systematic search in the databases of PubMed, Embase, Web of Science, and Cochrane Library up to 25 August 2022. The primary outcome was postoperative 24-h morphine consumption. Secondary outcomes included the time of the first request for rescue analgesia, static and dynamic pain scores 6 and 24 h after surgery, and incidence of postoperative nausea and vomiting (PONV). We calculated mean differences (MDs) with 95% confidence intervals (CIs) for postoperative 24-h morphine consumption, time of the first request for rescue analgesia, static and dynamic pain scores 6 and 24 h after surgery, and odds ratios (ORs) with 95% CIs for incidence of PONV. The chi-square test was used for heterogeneity analysis, and heterogeneity was assessed by I2. Statistical analysis was performed using Review Manager 5.4. Results Numerous electronic databases were searched, and finally, nine studies were identified. There was no significant difference in morphine consumption during the postoperative 24 h [MD: −2.57, 95% CI: (−5.42, 0.27), P = 0.08] and the time of the first request for rescue analgesia [MD: 1.79, 95% CI: (−1.06, 4.64), P = 0.22] between the PENG block and control groups. PENG block did not reveal a significant difference in 6 h [MD: −0.17, 95% CI: (−0.92, 0.57), P = 0.65] [MD: −0.69, 95% CI: (−1.58, 0.21), P = 0.13] and 24 h [MD: −0.25, 95% CI: (−1.54, 1.05), P = 0.71], [MD: 0.05, 95% CI: (−0.84, 0.93), P = 0.91] static and dynamic pain scores compared with other nerve block methods. Moreover, the two groups have a similar risk of PONV (OR: 1.29, 95% CI = 0.53–3.10, P = 0.57). Conclusion This review shows that PENG block can act as an alternative multimodal analgesia for hip surgery, and compared with the other kinds of nerve block, there was no significant difference in the postoperative analgesic effect of PENG block. Systematic review registration Supplementary Datasheet 1, identifier: CRD 42022356496.
Direct computations of a synthetic jet actuator

Synthetic jet actuators have previously been defined as having potential use in both internal and external aerodynamic applications. The formation of a jet flow perpendicular to the surface of an aerofoil or in a duct of diffuser has a range of potential flow control benefits. These benefits can include both laminar to turbulent transition control, which is associated with a drag reduction in aerodynamic applications. The formation and development of zero-net-mass-flux synthetic jets are investigated using highly accurate numerical methods associated with the methodology of Direct Numerical Simulation (DNS). Jet formation is characterised by an oscillating streamwise jet centreline velocity, showing net momentum flux away from the jet orifice. This momentum flux away from the orifice takes the form of a series of vortex structures, often referred to as a vortex train. Numerical simulations of the synthetic jet actuator consist of a modified oscillating velocity profile applied to a wall boundary. The Reynolds numbers used vary from 85 ≤ Re ≤ 300. A complete numerical study of both axisymmetric and fully threedimensional jet flow is performed. A parametric axisymmetric simulation is carried out in order to study the formation criterion and evolution of zero-net-mass-flux synthetic jets under variations in actuator input parameters. From the results of these simulations the conditions necessary for the formation of the synthetic jet along with the input parameters that provide an optimal jet output are deduced. Jet optimisation is defined by the mass flow, vortex strength and longevity of the vortex train as it travels downstream. Further investigations are carried out on a fully three-dimensional DNS version of the optimised
3D Scanner-Based Identification of Welding Defects—Clustering the Results of Point Cloud Alignment

This paper describes a framework for detecting welding errors using 3D scanner data. The proposed approach employs density-based clustering to compare point clouds and identify deviations. The discovered clusters are then classified according to standard welding fault classes. Six welding deviations defined in the ISO 5817:2014 standard were evaluated. All defects were represented through CAD models, and the method was able to detect five of these deviations. The results demonstrate that the errors can be effectively identified and grouped according to the location of the different points in the error clusters. However, the method cannot separate crack-related defects as a distinct cluster.
Toward waterborne protozoa detection using sensing technologies

Drought and limited sufficient water resources will be the main challenges for humankind during the coming years. The lack of water resources for washing, bathing, and drinking increases the use of contaminated water and the risk of waterborne diseases. A considerable number of waterborne outbreaks are due to protozoan parasites that may remain active/alive in harsh environmental conditions. Therefore, a regular monitoring program of water resources using sensitive techniques is needed to decrease the risk of waterborne outbreaks. Wellorganized point-of-care (POC) systems with enough sensitivity and specificity is the holy grail of research for monitoring platforms. In this review, we comprehensively gathered and discussed rapid, selective, and easy-to-use biosensor and nanobiosensor technologies, developed for the early detection of common waterborne protozoa.
Forecasting intense geomagnetic activity using interplanetary magnetic field data

Southward interplanetary magnetic fields are con- sidered traces of geoeffectiveness since they are a main agent of magnetic reconnection of solar wind and magnetosphere. The first part of this work revises the ability to forecast in- tense geomagnetic activity using different procedures avail- able in the literature. The study shows that current methods do not succeed in making confident predictions. This fact led us to develop a new forecasting procedure, which provides trustworthy results in predicting large variations of Dst index over a sample of 10 years of observations and is based on the value Bz only. The proposed forecasting method appears as a worthy tool for space weather purposes because it is not affected by the lack of solar wind plasma data, which usually occurs during severe geomagnetic activity. Moreover, the re- sults obtained guide us to provide a new interpretation of the physical mechanisms involved in the interaction between the solar wind and the magnetosphere using Faraday's law.
Pain and Clinical Presentation: A Cross-Sectional Study of Patients with New-Onset Chronic Pain in Long-COVID-19 Syndrome

The aim of this study was to evaluate the characteristics of pain (i.e., pain intensity, pain interference, clinical presentation) in Long-COVID-19 patients and compare the location of pain between successfully recovered COVID-19 patients and healthy matched controls. A cross-sectional case-control study was carried out. Long-COVID-19 patients, age- and sex-matched patients with a history of COVID-19 who had successfully recovered, and healthy controls were included. Outcomes included were pain characteristics (Brief Pain Inventory and Short-Form McGill Pain Questionnaire) and clinical presentation (Widespread Pain Index and Euroqol-5 Dimensions 5 Levels Visual Analogue Scale). Sixty-nine patients with Long-COVID-19 syndrome, sixty-six successfully recovered COVID-19 patients, and sixty-seven healthy controls were evaluated. Patients with Long-COVID-19 syndrome showed greater pain intensity and interference. In addition, they showed worse quality of life and greater widespread pain, with the most frequent locations of pain being the neck, legs, and head. In conclusion, patients with Long-COVID-19 syndrome show a high prevalence of pain, characterized by widespread pain of moderate intensity and interference, with the most frequent locations being the neck, legs, and head, significantly affecting the quality of life of these patients.
DIRBE observations of the zodiacal light

The Diffuse Infrared Background Experiment (DIRBE) aboard the Cosmic Background Explorer (COBE)1 mapped the entire sky redundantly in 10 wavebands at 1.25, 2.2, 3.5, 4.9, 12, 25, 60, 100, 140, & 240 μm. The scattering or thermal emission from interplanetary dust contributes significantly to the sky brightness in all 10 wavebands, dominating most. The sky brightness is modulated in time due to the changing viewing aspect of the DIRBE line of sight through the interplanetary dust cloud. A three‐dimensional semi‐physical model for the distribution, emission, and scattering of interplanetary dust was optimized to match the time‐dependence of the sky brightness as observed by DIRBE. The method and results of this fitting procedure are described, as are the difficulties and some future prospects for disentangling the zodiacal light from other contributions to the diffuse infrared sky brightness.
Holistic understanding of the response of grapevines to foliar application of seaweed extracts

Viticulture is highly dependent on phytochemicals to maintain good vineyard health. However, to reduce their accumulation in the environment, green regulations are driving the development of eco-friendly strategies. In this respect, seaweeds have proven to be one of the marine resources with the highest potential as plant protective agents, representing an environmentally-friendly alternative approach for sustainable wine production. The current work follows an interdisciplinary framework to evaluate the capacity of Ulva ohnoi and Rugulopteryx okamurae seaweeds to induce defense mechanisms in grapevine plants. To our knowledge, this is the first study to evaluate Rugulopteryx okamurae as a biostimulator . This macroalgae is relevant since it is an invasive species on the Atlantic and Mediterranean coast causing incalculable economic and environmental burdens. Four extracts (UL1, UL2, RU1 and RU2 developed from Ulva and Rugulopteryx, respectively) were foliar applied to Tempranillo plants cultivated under greenhouse conditions. UL1 and RU2 stood out for their capacity to induce defense genes, such as a PR10, PAL, STS48 and GST1, mainly 24 hours after the first application. The increased expression level of these genes agreed with i) an increase in trans-piceid and trans-resveratrol content, mainly in the RU2 treated leaves, and, ii) an increase in jasmonic acid and decrease in salicylic acid. Moreover, an induction of the activity of the antioxidant enzymes was observed at the end of the experiment, with an increase in superoxide dismutase and catalase in the RU2-treated leaves in particular. Interestingly, while foliar fungal diversity was not influenced by the treatments, alga extract amendment modified fungal composition, RU2 application enriching the content of various groups known for their biocontrol activity. Overall, the results evidenced the capacity of Rugulopteryx okamurae for grapevine biostimulation, inducing the activation of several secondary metabolite pathways and promoting the abundance of beneficial microbiota involved in grapevine protection. While further studies are needed to unravel the bioactive compound(s) involved, including conducting field experiments etc., the current findings are the first steps towards the inclusion of Rugulopteryx okamurae in a circular scheme that would reduce its accumulation on the coast and benefit the viticulture sector at the same time.
Do the presence, size, and shape of plantar calcaneal spurs have any significance in terms of pain and treatment outcomes in patients with plantar fasciitis?

Background/aim The purpose of this study was to determine the effect of the presence, size, or type of calcaneal spurs on pain or the outcomes of extracorporeal shock wave therapy (ESWT) therapy in patients with plantar fasciitis. Materials and methods Seventy-four patients with unilateral plantar fasciitis who had no pain in the contralateral foot, either currently or in the past, were included in the study. The length, base width, type, and presence of plantar calcaneal spurs in both heels of the patients were determined using radiography. A total of five sessions of ESWT (3 bar, 2000 shocks/session, 12 Hz frequency) with an interval of 3 days were performed on the painful sides of the patients. Symptom duration and numerical rating scale (NRS) scores were recorded pretreatment and 1 week and 12 weeks after treatment. Results Spurs were detected in 85.1% of painful feet and 71.6% of painless feet, this difference was statistically significant (p = 0.046). There was no significant correlation between the type of the spurs and whether the foot was painful. Patients with spur sizes of >5 mm or with horizontal and hooked spurs had a higher NRS decrease than patients with spur sizes of ≤5 mm or with a vertical spur. Symptom duration, spur length, and base width were found to be correlated with pretreatment NRS scores. Conclusion The presence and size of calcaneal spurs are associated with pain. However, it should be kept in mind that a high rate of spurs can also be found in painless feet, so spur is not the only factor that causes pain. Patients with a spur size of ≤5 mm or a vertical spur have less pain relief with ESWT.
Pupil plane wavefront sensing with a static pyramidal prism: Simulation and preliminary evaluation

Adaptive optics(AO) removes or compensates the distortion caused by a turbulent atmosphere or medium. A wavefront sensormeasures the distortion, on which the correction of AO is based. A new idea of pupil plane wavefront sensing, which consists of a relay lens and a pyramidal-shaped prism, was previously proposed. This paper reviews the idea of pupil wavefrontsensing and presents prism, was previously proposed. The simulation shows that pupilwavefront sensing provides full wavefront sensing when the intensity peak of PSF is located within half of the Airy radius from the apex of the sensor. Adding to this, the sensor is shown to have optimum sensor output with a finite bevel size of the pyramidal prism.
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques

Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of cancer-related deaths worldwide. For many years, the golden standard for HCC diagnosis has been the needle biopsy, which is invasive and carries risks. Computerized methods are due to achieve a noninvasive, accurate HCC detection process based on medical images. We developed image analysis and recognition methods to perform automatic and computer-aided diagnosis of HCC. Conventional approaches that combined advanced texture analysis, mainly based on Generalized Co-occurrence Matrices (GCM) with traditional classifiers, as well as deep learning approaches based on Convolutional Neural Networks (CNN) and Stacked Denoising Autoencoders (SAE), were involved in our research. The best accuracy of 91% was achieved for B-mode ultrasound images through CNN by our research group. In this work, we combined the classical approaches with CNN techniques, within B-mode ultrasound images. The combination was performed at the classifier level. The CNN features obtained at the output of various convolution layers were combined with powerful textural features, then supervised classifiers were employed. The experiments were conducted on two datasets, acquired with different ultrasound machines. The best performance, above 98%, overpassed our previous results, as well as representative state-of-the-art results.
On the Controlling Influences of Eddy Diffusion on Thermal Convection

Abstract Time dependent solutions of the nonlinear equations of thermal convection have been obtained, including the effects of nonlinear diffusion processes which have a controlling influence on thermal convection. They tend to restrict the convective velocity and the perturbation temperature to finite limiting values, proportional respectively to the square root and the first power of the impressed unstable mean vertical gradient of the potential temperature, if the eddy diffusion coefficients are considered as independent of the stability factor. The solutions show that these equilibrium values are independent of the specific initial state assumed, and that they are approached asymptotically. The rate at which these limiting values are approached is proportional to the square root of the mean instability factor (−∂θ0/∂z). On the other hand, if the 4/3 power law of heat transfer obtained experimentally and from dimensional considerations for turbulent flow is assumed to he valid, then the analysis yield.
Unexpected Diversity of Xenoscelinae in Priabonian European Amber: The Third Xenosceline Species from Rovno Amber

Xenophagus simutniki sp. n. is described from a late Eocene Rovno amber specimen. The new species is similar to the fossil Xenophagus popovi Lyubarsky et Perkovsky, 2017 from the late Eocene Baltic amber (W Russia), differing in the medially notched anterior margin of the pronotum. The Rovno xenosceline fauna is the richest among both extant and extinct faunas. This fauna includes the extinct genera Xenophagus Lyubarsky & Perkovsky, 2017 and Xenohimatium Lyubarsky & Perkovsky, 2012, which are closest to the extant Mediterranean Xenoscelis Wollaston 1864 and the representative of the extant boreal genus Zavaljus Reitter, 1880. A key to extinct species of the subfamily Xenoscelinae is presented. The possible reasons of xenoscelines abundance in European amber forests are discussed.
Approximate distributed clustering by learning the confidence radius on Fisher discriminant ratio

Presented is a new clustering algorithm with approximate distributed clustering over a peer-to-peer (P2P) network. The Fisher discriminant ratio is used to dynamically learn the confidence radius based on the data distribution in every local peer. Experimental results show that the proposed approach can achieve better clustering accuracies than the DFEKM algorithm while preserving much lower bandwidth consumptions.
SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network

The fifth generation (5 G) mobile cellular network relies on network slicing (NS) to satisfy the diverse quality of service (QoS) requirements of various service providers operating on a standard shared infrastructure. However, the synchronization of radio access network (RAN) and core network (CN) slicing has not been well-studied as an interdependent resource allocation problem. This work proposes a novel slice-to-node access factor (SNAF)-based end-to-end (E2E) slice resource provisioning scheme and deep reinforcement learning (DRL)-based real-time resource allocation algorithm for E2E interdependent resource slicing and allocation, respectively, specifically for RAN and CN. To ensure effective resource slicing and allocation, we consider the versatile user equipment (UEs) QoS requirements on transmission delay and data rate. Notably, the SNAF-based scheme provides proper resource provisioning and traffic synchronization, while the DRL-based algorithm allocates radio resources based on affordable traffic and backhaul resources. Based on the 5 G air interface, we conduct system-level simulations to evaluate the performance of our proposed methods from various perspectives. Simulation results confirm that our proposed SNAF and DRL-based interdependent E2E resource slicing and allocation techniques achieve better E2E traffic-resource synchronization, and improve the QoS satisfaction with minimal resource utilization compared to other existing benchmark schemes.
Modeling of the cold electron plasma density for radiation belt physics

This review focusses strictly on existing plasma density models, including ionospheric source models, empirical density models, physics-based and machine-learning density models. This review is framed in the context of radiation belt physics and space weather codes. The review is limited to the most commonly used models or to models recently developed and promising. A great variety of conditions is considered such as the magnetic local time variation, geomagnetic conditions, ionospheric source regions, radial and latitudinal dependence, and collisional vs. collisionless conditions. These models can serve to complement satellite observations of the electron plasma density when data are lacking, are for most of them commonly used in radiation belt physics simulations, and can improve our understanding of the plasmasphere dynamics.
Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements

Abstract Accurate knowledge of the vertical and horizontal extent of clouds and aerosols in the earth’s atmosphere is critical in assessing the planet’s radiation budget and for advancing human understanding of climate change issues. To retrieve this fundamental information from the elastic backscatter lidar data acquired during the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, a selective, iterated boundary location (SIBYL) algorithm has been developed and deployed. SIBYL accomplishes its goals by integrating an adaptive context-sensitive profile scanner into an iterated multiresolution spatial averaging scheme. This paper provides an in-depth overview of the architecture and performance of the SIBYL algorithm. It begins with a brief review of the theory of target detection in noise-contaminated signals, and an enumeration of the practical constraints levied on the retrieval scheme by the design of the lidar hardware, the geometry of a space-based remote sensing pl.
MOMENT DISTRIBUTION METHOD: CLOSED-FORM REPRESENTATION.

The moment distribution method is utilized in this paper to derive equations giving the exact values of the end moments of continuous beams and plane frames. With these equations the iteration procedure of the moment distribution method becomes unnecessary. The equations can be used irrespective of the type of loading. It is found that the equations can be expressed in general forms giving the end moments for the various members connected by a joint. It is also found that the same equations can be used for continuous beams and plane frames provided that the number of internal joints is the same.
Nested saturation control for overhead crane systems

This paper presents a new control strategy for overhead crane systems. First, by utilizing a coordinate change, the underactuated overhead crane dynamical model can be transformed into an upper-triangular form. Second, a finite-time controller is designed based on the nonlinear nested saturation and adding a power integrator technique. Rigorous proof shows that the controller can guarantee finite-time stability of the closed-loop system. Simulations show the effectiveness of the proposed method.