Miracle-dz/UniFAR-FTUs huggingface dataset:
Oriented extrapolation of common‐midpoint gathers in the absence of near‐offset data using predictive painting

Seismic reconstruction of missing traces is an extremely important subject in seismic data processing. It includes both interpolation and extrapolation of sparsely recorded data. Extrapolation is often performed in the absence of near‐offset seismic data recorded through marine acquisition. Several reconstruction methods have been designed to circumvent this sparsity in time–offset, frequency–offset and time–frequency domains. In this research, I propose an oriented extrapolation workflow to reconstruct near‐offset missing traces. The term oriented or velocity‐independent refers to those techniques that are based on the use of local slopes. In the proposed workflow, I use an oriented time‐warping algorithm called predictive painting. This algorithm is suitable to predict two‐way traveltimes between two distinctive points of an event. Seismic events recorded by an off‐end array very rarely contain dips of both signs with respect to their zero‐offset location in common‐midpoint domain. This makes the domain an ideal choice to run the algorithm. The proposed algorithm is demonstrated on synthetic and field data examples. I decimate near‐offset seismic traces and reconstruct them through the algorithm. The reconstruction results are compared with the original data before decimation. Furthermore, insensitivity of the proposed workflow to the presence of class II amplitude‐versus‐offset anomalies is demonstrated on a synthetic example. I also perform a velocity‐dependent (a normal‐moveout‐based) technique on the field data and compare the corresponding outcomes with the results achieved by the application of the proposed velocity‐independent approach. All the results suggest that the proposed technique has the potential to be used in the exploration industry.
Regional diaphragm motion analysis via dynamic MRI

Breathing-related movement analysis is important in the study of many disease processes. The analysis of diaphragmatic motion via thoracic imaging in particular is important in a variety of disorders. Compared to computed tomography (CT) and fluoroscopy, dynamic magnetic resonance imaging (dMRI) has several advantages, such as better soft tissue contrast, no ionizing radiation, and greater flexibility in selecting scanning planes. In this paper, we propose a novel method for full diaphragmatic motion analysis via free-breathing dMRI. Firstly, after 4D dMRI image construction in a cohort of 51 normal children, we manually delineated the diaphragm on sagittal plane dMRI images at end-inspiration and end-expiration. Then, 25 points were selected uniformly and homologously on each hemi-diaphragm surface. Based on the inferior-superior displacements of these 25 points between end-expiration (EE) and end-inspiration (EI) time points, we obtained their velocities. We then summarized 13 parameters from these velocities for each hemi-diaphragm to provide a quantitative regional analysis of diaphragmatic motion. We observed that the regional velocities of the right hemi-diaphragm were almost always statistically significantly greater than those of the left hemi-diaphragm in homologous locations. There was a significant difference for sagittal curvatures but not for coronal curvatures between the two hemi-diaphragms. Using this methodology, future larger scale prospective studies may be considered to confirm our findings in the normal state and to quantitatively assess regional diaphragmatic dysfunction when various disease conditions are present.
Wet‐Adhesive Elastomer for Liquid Metal‐Based Conformal Epidermal Electronics

Wearable electronics are increasingly used in health monitoring and treatment in different conditions. However, few devices can adhere conformally to the skin after sports and showers (sweating, deformation, friction). Here, a facile method is presented by providing a metal‐polymer conductor (MPC) made with polyethylene glycol (PEG) blended polydimethylsiloxane (PDMS) based adhesive (PPA) that encapsulates gallium‐based liquid metal alloy circuits as epidermal electronics. Adding PEG into PDMS prepolymer can result in a softer and wet‐adhesive elastomer that can bear larger deformation than PDMS itself. The soft and adhesive electronics can adhere to the skin conformally for more than 2 d. It has been demonstrated that these electronics can meet the needs of motion detection, electrophysiological signal detection and skin wound healing during a 48 h wearing with sports and shower. It is expected that the wet‐adhesive electronic with excellent biosafety can be widely used and solve existing problems in medical adhesives and human–machine interfaces.
Ecotoxicological assessment of hospital wastewater: analysis of regression models

ABSTRACT This study assessed different regression models to estimate the concentration that inhibits 50% of Allium cepa root growth after exposure to different concentrations (5 to 100%v/v) of hospital wastewater for 72 h. In addition, the mitotic index was also calculated. The results indicate alterations in the normal development of A. cepa owing to the possible presence of toxic substances, identifying a maximum root inhibition of 61.01% and a minimum mitotic index of 2.15%. The Gompertz model was better than other models for its adequate adjustment and low error with a half maximal inhibitory concentration of 57.5% (moderately toxic waters) and a difference of 23% with traditional models such as Probit (80%) or Log-Logistic (80%). Toxicity tests with bioluminescent bacteria (Vibrio fischeri) confirmed the results obtained from A. cepa bioassays.
Optimization for index of airline fleet reliability based on fuzzy grey association

Fleet is vital to keep the capability of airline transportation.Fleet reliability is an important part of safety control of airline.In consideration of that the indexes affecting fleet reliability have features on fuzzy and random of grey system,the optimization model of fuzzy-grey association on fleet reliability was set up according to feature of fuzzy-grey association.To improve the discriminative ability of relational degree analysis and make it coincide with the actual situation well,the coefficient was identified reasonably.Based on data and statistics on fleet reliability of airline,the grey association degree and grey correlative order of reliability index and grade were obtained and the main factors on affecting fleet reliability were determined.Finally,control key index on fleet reliability was put up.The research provides a more scientific quantitative method for determination of choosing controlled index of fleet reliability,and is beneficial for reaching laws of it.It is practical to enhance the level of management of airline fleet reliability.
Urban households' willingness to pay for improvements in rainwater harvesting and rainwater infiltration system: Case study in Japan

There is an urgent need to develop an urban rainwater drainage system in cities that have been facing flooding due to heavy rainfall events. In Japan, many municipalities have provided financial support for installing household‐level rainwater infiltration and harvesting facilities. However, the use of domestic installations is still limited. This study used the contingent valuation method (CVM) to investigate household preferences for rainwater tanks and a rainwater infiltration inlet (RII) in Yokohama, Japan, and examine the factors influencing the respondents' willingness to pay (WTP). We found that public perceptions of these systems have remained low. The mean WTP was US$265 and US$274 per unit for RII and a rainwater tank, respectively. When compared with the actual market price, the WTP results indicate that respondents had a high interest in these systems. Moreover, income, the experience of flooding and environmentally conscious behaviour were the main affecting factors.
Research on a method of high robust artillery image stabilization calibration

The performance index of artillery weapon sight calibration directly affects the probability of first shot hit. In order to improve the accuracy of artillery image stabilization calibration, a highly robust artillery image stabilization calibration method was established. Through the establishment of a long straight line fitting model for edge detection, the calibration of the gun’s image stabilization bullseye, adaptive fine mask region of interest extraction and local intersection extraction, realize image stabilization and precise calibration detection. The e experiment shows that the calibration method designed in this paper reduces the average calibration error of 0.5292 compared with the existing algorithm, and can more accurately realize the calibration and detection of the gun sight.
Re-Active Vector Equilibrium: A Novel Method of Autonomous Vehicle Navigation using Artificial Potential Fields

The use of potential field based navigation schemes in robotics has been limited by inherent local minima issues. Local minima traps, small passages, unstable motion, and targets positioned near objects all pose major concerns when using potential fields for local vehicle control. This work proposes a new algorithm, “Re-Active Vector Equilibrium” (RAVE) that mitigates many of these issues. The vehicle representation model is expanded to use multiple points subject to potential calculation and the addition of two forces, a velocity dependent “risk force” (~ Frsk) and a velocity and direction dependent “tangential force” (~ Ftan). The vehicle representation model is also expanded from a single reactive point to a series of points that define the vehicle body, providing better and simpler vehicle control. This has the effect of simplifying the required calculations at the cost of increasing the calculation count. The risk force, ~ Frsk, allows for dynamic adaptation to the immediate environment by acting in opposition to the net obstacle force, and is inversely proportional to the vehicle speed. The tangential force, ~ Ftan, encourages better wall-following behaviour and provides a biasing mechanism to resolve obstacle aligned with target local minima issues.
The Effect of Jump Distance on Biomechanical Risk Factors for ACL Injury During Landing and Their Relationship with Sensorimotor Characteristics at the Knee

There has been an abundance of research investigating risk factors for anterior cruciate ligament (ACL) injury and demonstrating the importance of biomechanical characteristics, particularly in females. However, there have been many different landing tasks used with varying demands. Previous research has demonstrated that different landing tasks significantly alter demand and biomechanical characteristics. However it is unknown how changes in landing demand using the same task may alter landing biomechanics related to ACL injury. Therefore, the purpose of this study was to examine the effects of jump distance during a double-leg stop-jump on biomechanical risk factors of ACL injury and muscle activation and examine the contribution of sensorimotor characteristics on these biomechanical characteristics. Fifty-three recreationally active healthy females were recruited to participate in this study. Each participant underwent a single test session that included demographic and anthropometric assessment, dominant knee threshold to detect passive motion, landing biomechanics and muscle activation measurement, and dominant knee time to peak torque and peak torque testing. Biomechanical and muscle activation parameters relative to ACL injury were compared between jump distances using repeated measures ANOVA. Multiple linear regression was used to assess the relationship between the biomechanical characteristics and sensorimotor characteristics (threshold to detect passive motion, time to peak torque, and peak torque). The results of this study demonstrated that increases in jump distance significantly increased landing demand and significantly impacted risk factors for ACL injury and muscle activation strategies. These findings illustrated that studies utilizing tasks with different demands cannot directly compare results or make inference to injury risk based previous findings. This study suggested that a jump distance of 40% to 60% body height is used during a double-leg stop-jump task to assess landing biomechanics related to ACL injury. Additionally, sensorimotor characteristics had significant relationships with knee flexion angle at initial contact, peak knee flexion, and peak knee abduction moment. Further research is needed to identify sensorimotor characteristics that contribute to frontal plane knee motion during landing.
Advances in Spectral Techniques for Detection of Pathogenic Microorganisms

The highly contagious viral illness Coronavirus disease 2019, caused by severe acute respiratory syndrome coronavirus-2, has led to nearly 5 million deaths worldwide. The detection of highly infectious pathogens or novel pathogens causing emerging infectious diseases is highly challenging. Encouragingly, spectral detection—including laser-induced fluorescence spectroscopy, infrared absorption spectroscopy, Raman spectroscopy and their combinations—has been broadly used to detect pathogenic microorganisms on the basis of their physical and chemical characteristics. Surface-enhanced Raman spectroscopy with labels can detect organisms at a minimum concentration of 3 cells/mL. The changes in cells’ biochemical reactions before and after polioviral infection can be detected by Fourier transform infrared spectroscopy. However, the sensitivity and specificity of different spectral detection categories differs, owing to their different detection principles. Flexible detection methods require interdisciplinary researchers familiar with both pathogen biology and instruments. This review summarizes the advances in spectral techniques used in detecting pathogenic microorganism.
Prognostic Analysis of Postoperative Survival for Ruptured Hepatocellular Carcinoma with or without Cirrhosis

Background and Aims Conflicting results are often observed in the prognosis of patients with ruptured hepatocellular carcinoma (rHCC), and there are currently very few studies on the long-term postoperative outcomes of ruptured hepatocellular carcinoma patients. This study aimed to distinguish between the postoperative prognosis of rHCC patients with cirrhosis (rHCC-C) and those without cirrhosis (rHCC-NC) using some serum markers. Methods We collected the data of 151 rHCC patients treated at our centers from January 2010 to March 2021. 62 had no cirrhosis, and 89 had cirrhosis. The prognosis of rHCC-C and rHCC-NC groups was compared using the Kaplan-Meier method. We used multivariate Cox regression to analyze prognostic factors in rHCC patients, and subgroup analysis was performed on the two groups of patients. Results The long-term prognosis of rHCC-NC patients was better than that of rHCC-C patients. Tumor diameter, Barcelona clinic liver cancer (BCLC) stage, HBsAg, positive Hepatitis C virus (HCV) antibodies, elevated creatinine, and elevated T-bilirubin were prognostic factors for overall survival (OS) in rHCC-C patients. However, only alpha-fetoprotein (AFP) > 92 ng/mL was a prognostic factor for OS in rHCC-NC patients. In noncirrhotic patients, HBsAg positivity was only associated with OS. Similarly, the presence or absence of microvascular invasion (MVI) also had different results in the two groups. Conclusions There are differences in serum alpha-fetoprotein (AFP) levels, the presence of microvascular invasion (MVI), and HBsAg positivity between rHCC-C and rHCC-NC patients, indicating that the analysis of these prognostic factors may help improve the management of rHCC patients and provide a direction for future treatment options.
Forecasting Landfilling Indicators Of Municipal Waste In Greece Using Univariate Time-series Model

Implementation of environmental policies, is one of the European Commission's key priorities, as confirmed by its proposal for the 7th Environment Action Programme and the Roadmap to a resource-efficient Europe. Subsequently, the European Union revised its waste legislation to address these challenges more adequately. As a result, the EU's Waste Framework Directive and Landfill Directive set binding targets for recycling municipal waste and diverting biodegradable municipal waste from landfills. This paper deals with the monitoring of municipal waste management operations in Greece, in terms of technical content and ability to reach the targets of the initiatives. In addition, a more detailed report on waste indicators published by Eurostat will be based on an Exploratory Data Analysis and on a Univariate time-series prediction model. Finally, the overall aim of this study is to gain maximum insight into the data and understand its underlying structure through graphical representation, to achieve the most accurate forecast for the landfilling operation.
Optimize resource placement for in-network computing

In this paper, a distributed machine learning algorithm is proposed to optimize the placement of in-network computing resources in network computing by redesigning aggregator hash mapping. Based on this placement method, the three models were tested, and the training task throughput increased by 6.81%, 0.39% and 3.13%, respectively, while the task completion time decreased by 6.82%, 0.28% and 3.31%, respectively. At the same time, based on the placement method, the network computing training system can support more flexible network computing resource allocation mode.
An Exhaustive Swarming Search Strategy based on Distributed Pheromone Maps

[Abstract] Swarms of Unmanned Air Vehicles (UAVs) are well suited to perform missions comprising a search stage where multiple entities must be located over a wide geographic area. Because of their decentralized control architecture, swarms are scalable, robust and adapt to environmental changes. Pheromone maps are a common coordination mechanism that emulates the foraging behavior of insects. Swarming agents use such a map to coordinate with each other and to guide their search. Most pheromone frameworks require an uninterrupted wireless network connection for every agent in the swarm. This is incompatible with real world applications were UAVs are link limited because of environmental factors or mission requirements. Furthermore, search heuristics based on pheromone gradients are susceptible to local minima and only offer statistical guaranty of coverage. In this paper, we present an exhaustive search strategy and its supporting distributed pheromone map scheme. This approach does not require any network infrastructure. It relies on agents exchanging pheromones in an ad-hoc fashion. Its optimal search heuristic guaranties coverage and finite search times. Through experimental data, we show how distributed maps compare favorably with centralized ones.
Online Competitive In(cid:29)uence Maximization

Online in(cid:29)uence maximization has attracted much attention as a way to maximize in(cid:29)u-ence spread through a social network while learning the values of unknown network parameters. Most previous works focus on single-item di(cid:27)usion. In this paper, we introduce a new Online Competitive In(cid:29)uence Maximization (OCIM) problem, where two competing items (e.g., products, news stories) propagate in the same network and in-(cid:29)uence probabilities on edges are unknown. We adopt a combinatorial multi-armed ban-dit (CMAB) framework for OCIM, but unlike the non-competitive setting, the important monotonicity property (in(cid:29)uence spread increases when in(cid:29)uence probabilities on edges increase) no longer holds due to the competitive nature of propagation, which brings a signi(cid:28)cant new challenge to the problem. We provide a nontrivial proof showing that the Triggering Probability Modulated (TPM) condition for CMAB still holds in OCIM, which is instrumental for our proposed algorithms OCIM-TS and OCIM-OFU to achieve sublinear Bayesian and frequentist regret, respectively. We also design an OCIM-ETC al-gorithm that requires less feedback and easier o(cid:31)ine computation, at the expense of a worse frequentist regret bound. Experimental evaluations demonstrate the e(cid:27)ectiveness of our algorithms.
Observation on the Efficacy of Preemptive Analgesia with Tramadol Injection after Single-Segment Lumbar Spinal Stenosis Surgery

To investigate the efficacy of preemptive analgesia with tramadol injection after single-segment lumbar spinal stenosis surgery is the objective of the study. A total of 120 patients after lumbar spinal stenosis surgery were selected by the random sampling method as the study subjects. Patients were randomly divided into a moderate pain group (control group, n=60) and a preemptive analgesia group (observation group, n=60) according to whether tramadol preemptive analgesia was used. The visual analogue scale score of the two groups were compared at 30 min, 4 h, 8 h, 16 h, 24 h and 48 h after treatment, the number of intramuscular tramadol injections and the total dosage of tramadol administration from the end of surgery to discharge, as well as adverse reactions after treatment. The visual analogue scale score at 30 min, 4 h, 8 h, 16 h and 24 h after surgery of the observation group were significantly lower than the control group (p<0.05). There was no significant difference between the two groups in the visual analogue scale score at 48 h after surgery (p>0.05). The number of intramuscular tramadol injections and the total dosage of tramadol administration from the end of surgery to discharge of the observation group were significantly lower than the control group (p<0.05). The incidence of adverse reactions in the observation group was lower than the control group, but the difference was not statistically significant (p>0.05). Tramadol preemptive analgesia after lumbar spinal stenosis surgery could effectively control pain, reduce the use frequency of postoperative painkillers, reduce the dosage of intramuscular tramadol after surgery and had fewer adverse reactions in the process of treatment to some extent.
Cheating and 360-Degree Contracts in the Recorded Music Industry

A new type of contractual arrangement in the music industry – the so-called “360-degree” or “equity” deal – allows a firm (e.g., a record label) to manage all of an artist’s activities, such as sales of recorded music, touring, merchandising, etc. Since these contracts internalize the positive externalities that exist between the recorded music market and the ancillary markets, it should be profit-enhancing for both record labels and artists to strike such deals. However, very few equity deals have been signed in the music market so far. In this paper we argue that artists who currently have a recording contract, or who have had one in the past, are reluctant to sign a 360-degree deal because they fear unfair behavior in income-sharing on the part of their record label. Using a representative survey of 710 professional musicians in France, we provide empirical evidence that past contractual experience with a record label does indeed reduce the incentives to sign a 360-degree deal. Moreover, the more artists perform on stage, the more reluctant they are towards 360-degree deals.