Number Of Sweeps Research Articles

Revisiting the transient-evoked otoacoustic emissions passing criteria used for newborn hearing screening

Objective To assess transient-evoked otoacoustic emissions (TEOAE) data from 15 years of a newborn hearing screening program and evaluate how well various criteria separate ears with and without hearing loss. Design Retrospective review of TEOAE data using logistic regression, receiver operating characteristic curves, and cumulative percentage graphs. Study sample: Children with hearing loss who passed TEOAE screening as a newborn were compared to children who failed TEOAE screening and normal hearing children who either passed or failed. Exclusions were applied for acquired hearing loss or auditory neuropathy. Results Ears with hearing loss that passed screening had significantly lower TEOAE response levels compared to ears with normal hearing. Noise levels, test times, and number of sweeps were also lower. Most of these ears had mild hearing loss. Logistic regression results showed that high-frequency TEOAE response level is the best predictor of hearing loss. A multivariate “logit” score calculated from the regression was the best indicator for separating ears with hearing loss from ears with normal hearing. Conclusions TEOAE response levels or an algorithm which incorporates logit scores should be considered as a minimum passing criterion to increase the sensitivity of the TEOAE screening.

Modeling the Impact of Proactive Community Case Management on Reducing Confirmed Malaria Cases in Sub-Saharan African Countries.

Malaria continues to be a major source of morbidity and mortality in sub-Saharan Africa. Timely, accurate, and effective case management is critical to malaria control. Proactive community case management (ProCCM) is a new strategy in which a community health worker "sweeps" a village, visiting households at defined intervals to proactively provide diagnostic testing and treatment if indicated. Pilot experiments have shown the potential of ProCCM for controlling malaria transmission; identifying the best strategy for administering ProCCM in terms of interval timings and number of sweeps could lead to further reductions in malaria infections. We developed an agent-based simulation to model malaria transmission and the impact of various ProCCM strategies. The model was validated using symptomatic prevalence data from a ProCCM pilot study in Senegal. Various ProCCM strategies were tested to evaluate the potential for reducing parasitologically confirmed symptomatic malaria cases in the Senegal setting. We found that weekly ProCCM sweeps during a 21-week transmission season could reduce cases by 36.3% per year compared with no sweeps. Alternatively, two initial fortnightly sweeps, seven weekly sweeps, and finally four fortnightly sweeps (13 sweeps total) could reduce confirmed malaria cases by 30.5% per year while reducing the number of diagnostic tests and corresponding costs by about 33%. Under a highly seasonal transmission setting, starting the sweeps early with longer duration and higher frequency would increase the impact of ProCCM, though with diminishing returns. The model is flexible and allows decision-makers to evaluate implementation strategies incorporating sweep frequency, time of year, and available budget.

Spatial distortions in swept source optical coherence tomography due to lateral scanning

The paper presents errors in axial distance measurements and deviations of contours in swept source (SS) optical coherence tomography (OCT) cross sections due to lateral scanning. The study shows how these errors and deviations depend on the adjustments of the interface optics between a lateral scanner device and the target imaged. A theoretical model and experiments demonstrate that these errors and deviations are given by the Doppler shift frequency imprinted by the lateral scanning. The smaller the number of sweeps per lateral scanning interval, the larger these errors and deviations. The study also shows that the sign of error and deviation of contours can be put in correspondence with the spectral sweeping direction. Even more, it is shown that such effects can be used to predict the tuning direction of the swept source without an optical spectrum analyzer.

Artificial selection footprints in indigenous and commercial chicken genomes

BackgroundAlthough many studies have been done to reveal artificial selection signatures in commercial and indigenous chickens, a limited number of genes have been linked to specific traits. To identify more trait-related artificial selection signatures and genes, we re-sequenced a total of 85 individuals of five indigenous chicken breeds with distinct traits from Yunnan Province, China.ResultsWe found 30 million non-redundant single nucleotide variants and small indels (< 50 bp) in the indigenous chickens, of which 10 million were not seen in 60 broilers, 56 layers and 35 red jungle fowls (RJFs) that we compared with. The variants in each breed are enriched in non-coding regions, while those in coding regions are largely tolerant, suggesting that most variants might affect cis-regulatory sequences. Based on 27 million bi-allelic single nucleotide polymorphisms identified in the chickens, we found numerous selective sweeps and affected genes in each indigenous chicken breed and substantially larger numbers of selective sweeps and affected genes in the broilers and layers than previously reported using a rigorous statistical model. Consistent with the locations of the variants, the vast majority (~ 98.3%) of the identified selective sweeps overlap known quantitative trait loci (QTLs). Meanwhile, 74.2% known QTLs overlap our identified selective sweeps. We confirmed most of previously identified trait-related genes and identified many novel ones, some of which might be related to body size and high egg production traits. Using RT-qPCR, we validated differential expression of eight genes (GHR, GHRHR, IGF2BP1, OVALX, ELF2, MGARP, NOCT, SLC25A15) that might be related to body size and high egg production traits in relevant tissues of relevant breeds.ConclusionWe identify 30 million single nucleotide variants and small indels in the five indigenous chicken breeds, 10 million of which are novel. We predict substantially more selective sweeps and affected genes than previously reported in both indigenous and commercial breeds. These variants and affected genes are good candidates for further experimental investigations of genotype-phenotype relationships and practical applications in chicken breeding programs.

Perbedaan penemuan Foreign Object Debris (FOD) Sebelum dan Selama Haji Tahun 2022 untuk Menunjang Keamanan Penerbangan di Bandar Udara Internasional Adi Soemarmo Boyolali Jawa Tengah

Every airport always has Foreign Object Debris (FOD), be it on the apron, runway or taxiway. Adi Soemarmo International Airport is one of the airports that serves regular flights and Hajj flights. Each flight takes off and lands on the runway and parks on the apron. Adi Soemarmo International Airport has routine daily work carried out by the engineering unit and supervised by the Apron Movement Control (AMC) unit, namely sweeping Foreign Object Debris (FOD). This study aims to determine the difference in Foreign Object Debris (FOD) in May (before Hajj) and in June (during Hajj). In addition, this study also aims to obtain the results of differences in the number and type in May-June. This study used a quantitative descriptive method with a documentation study data collection method and secondary data from the number of daily sweeps of Foreign Object Debris (FOD) in May-June 2022, namely before and during Hajj at Adi Soemarmo International Airport. The method used to analyze the data in this study was to use a two-sample t-test in pairs. The results of this study show that there are significant differences in the types of Foreign Object Debris (FOD) and show that there are no significant differences between Foreign Object Debris (FOD) in May and June 2022 with H0 not being accepted because there are no significant results from the two differences with a ratio of 1:1.015 and for the difference from May and June of 15.&#x0D; Keywords: Foreign Object Debris (FOD), Difference, Before and during Hajj.

Membrane Sweeping to Induce Labor in Post-term Pregnant Women: Success Rate and Outcomes.

Introduction Membrane sweeping is a mechanical technique by which a clinician inserts one or two fingers into the cervix and detaches the inferior pole of the membranes from the lower uterine segment using a continuous circular sweeping motion. This produces hormones that promote effacement and dilatation, potentially promoting labor. This study aimed to determine the success rate and the outcome of membrane sweeping in postdate pregnant women in Alhasahesa Teaching Hospital. Methods This prospectivedescriptive cross-sectional study conducted at Alhashesa Teaching Hospital, Alhashesa, Sudan, between May and October 2022 included all pregnant women at 40 or more weeks of gestation who underwent membrane sweeping to induce labor. We recorded the number of sweeps needed, sweeping-to-delivery interval, mode of delivery, maternal outcome, and fetal outcome (including birth weight, Apgar score at delivery, and the need for neonatal intensive care unit admission [NICU]). Data were collected through patient interviews using a specially designed questionnaire and analyzed using Statistical Package for Social Sciences (SPSS®) software for Windows, Version 26.0 (Armonk, NY: IBM Corp.), Results Membrane sweeping induced labor in 127 postdate women (86.4%). Most of the women in the study (n=138; 93.9%) had no complications, seven (4.8%) had postpartum hemorrhage, one (0.7%) had sepsis, and one (0.7%) was admitted to the intensive care unit. All neonates were alive, and most (n=126; 85.8%) birth weights ranged from 2.5 kg to 3.5 kg. Thirteen (8.8%) neonates weighed less than 2.5 kg, and eight (5.4%) weighed more than 3.5 kg. One hundred thirty-three (90.5%) had Apgar scores <7, eight (5.4%) had Apgar scores under five, and six (4.1%) had Apgar scores of five to six. Seven neonates (4.8%) were admitted to the NICU. Conclusions Membrane sweeping to induce labor has a high success rate, and it can be safe for both the mother and the baby, as it is associated with a low rate of maternal and fetal complications. Additionally, no maternal and/or fetal deaths were reported. A large, controlled study is required to compare its benefits over other methods of induction of labor.

Optimization of signal-to-noise ratio in short-duration SEP recordings by variation of stimulation rate

ObjectiveThe intraoperative averaging of the somatosensory evoked potential (SEP) requires reliable recordings within the shortest possible duration. We here systematically optimized the repetition rate of stimulus presentation. MethodsWe recorded medianus and tibial nerve SEP during 22 surgeries and varied the rate of stimulus presentation between 2.7 Hz and 28.7 Hz. We randomly sampled a number of sweeps corresponding to recording durations up to 20 s and calculated the signal-to-noise ratio (SNR). ResultsFor the medianus nerve at 5 s recording duration, SEP stimulation rate at 12.7 Hz obtained the highest median SNR = 22.9 for the N20, which was higher than for rate 4.7 Hz (p = 1.5e-4). When increasing the stimulation rate, latency increased and amplitude decayed for cortical but not for peripheral recording sites. For the tibial nerve, the rate 4.7 Hz achieved the highest SNR for all durations. ConclusionsWe determined the time-dependence of SNR for N20 and elucidated the underlying physiology. For short recordings, rapid reduction of noise through averaging at high stimulation rate outweighs the disadvantage of smaller amplitude. SignificanceFor a short duration of medianus nerve SEP recording only, it may be advantageous to stimulate with a repetition rate of 12.7 Hz.

Capacitive tracer design to mitigate incomplete I-V curves in outdoor tests

The capacitance technique is the most straightforward and low-cost technique to trace the I-V curve of photovoltaic (PV) modules. Nevertheless, the sweep speed and number of samples to measure the I-V curve depend on the device under test (DUT), capacitance size, switching dynamic, lighting conditions, Etc. Therefore, two performance indexes were proposed to evaluate the I-V curve quality. The indexes were estimated from a circuital model considering the transient capacitance charging process as a function of the target irradiance levels and parameters of the DUT and tracer. In this way, a capacitance range is estimated to mitigate the likelihood of measuring incomplete curves in the Isc and Voc regions. Finally, the capacitance sizing design in terms of both indexes for monitoring PV technologies was validated in outdoor tests.

Computational and Descriptional Power of Nondeterministic Iterated Uniform Finite-State Transducers*

An iterated uniform finite-state transducer (IUFST) runs the same length-preserving transduction, starting with a sweep on the input string and then iteratively sweeping on the output of the previous sweep. The IUFST accepts the input string by halting in an accepting state at the end of a sweep. We consider both the deterministic (IUFST) and nondeterministic (NIUFST) version of this device. We show that constant sweep bounded IUFSTs and NIUFSTs accept all and only regular languages. We study the state complexity of removing nondeterminism as well as sweeps on constant sweep bounded NIUFSTs, the descriptional power of constant sweep bounded IUFSTs and NIUFSTs with respect to classical models of finite-state automata, and the computational complexity of several decidability questions. Then, we focus on non-constant sweep bounded devices, proving the existence of a proper infinite nonregular language hierarchy depending on the sweep complexity both in the deterministic and nondeterministic case. Though NIUFSTs are “one-way” devices we show that they characterize the class of context-sensitive languages, that is, the complexity class DSpace(lin). Finally, we show that the nondeterministic devices are more powerful than their deterministic variant for a sublinear number of sweeps that is at least logarithmic.

Optimization of sample unit size for sampling stink bugs (Hemiptera: Pentatomidae) in soybean

Cost-effective and reliable sampling procedures are crucial for integrated pest management. Sweep net sampling is commonly used for stink bugs (Hemiptera: Pentatomidae) in soybean, with sample size being the number of sets of sweeps, and sample unit size the number of sweeps in each set. Sample unit size has received little attention, but can affect sampling parameters. Here, two sample unit sizes (10 vs. 25 sweeps) were compared for the sampling of stink bug taxa. On average, sampling for stink bugs took 3.6 more minutes with the 25-sweep than with the 10-sweep sample unit size. Generally, estimates of the mean number of stink bugs per sweep were similar between the two sample unit sizes for Euschistus spp. and Chinavia hilaris combined (“combined herbivores”) and Euschistus spp. The 25-sweep sample unit size had a higher probability of detecting combined herbivores, Euschistus spp. and Podisus spp., lower standard errors and relative variance for combined herbivores and Euschistus spp., lower standard errors for C. hilaris, and higher relative net precision [which accounts for sampling cost (i.e., time)] for combined herbivores and Euschistus spp. Taken together, the better probability of detection, precision and efficiency of the 25-sweep sample unit size support the continued use of sampling plans developed for that sample unit size. The optimization of sample unit sizes is an important factor that should be accounted for in the development of sampling plans.

Foraging Strategy of Black-faced Spoonbill During Breeding Period in Rice Fields of Korea.

Rice fields are important habitats for a variety of water birds, and their importance is increasing with the destruction of natural wetlands. This study was conducted to understand the foraging strategy of the black-faced spoonbill, an internationally endangered species, in rice fields. To achieve this objective, the feeding success rate of black-faced spoonbills in rice fields was analyzed considering the species' feeding behavior, environmental factors, and external factors. The number of sweeps per minute and number of steps per minute were evaluated as features of feeding behavior; rice field type, water level, and rice height as environmental factors; and the size of a flock and number of other species in the fields when black-faced spoonbills were feeding as external factors. The feeding success rate of the black-faced spoonbills increased as they were feeding while moving at a fast pace in a rice field with a water level of 10 cm or below, rice height of 15 cm, and without herons (competitor species). These factors may be an effective strategy to increase the probability of food acquisition by black-faced spoonbills in rice fields. Therefore, to allow black-faced spoonbills during breeding season to use the rice fields for feeding, it is necessary to maintain a water level of 15 cm or less before transplanting rice. Moreover, the use of pesticides must be minimized to increase abundance of the food resources in rice fields.

Real-time threshold determination of auditory brainstem responses by cross-correlation analysis

SummaryAuditory brainstem response (ABR) serves as an objective indication of auditory perception at a given sound level and is nowadays widely used in hearing function assessment. Despite efforts for automation over decades, ABR threshold determination by machine algorithms remains unreliable and thereby one still relies on visual identification by trained personnel. Here, we described a procedure for automatic threshold determination that can be used in both animal and human ABR tests. The method terminates level averaging of ABR recordings upon detection of time-locked waveform through cross-correlation analysis. The threshold level was then indicated by a dramatic increase in the sweep numbers required to produce “qualified” level averaging. A good match was obtained between the algorithm outcome and the human readouts. Moreover, the method varies the level averaging based on the cross-correlation, thereby adapting to the signal-to-noise ratio of sweep recordings. These features empower a robust and fully automated ABR test.

A neural network predicting the amplitude of the N2pc in individual EEG datasets

Objective. The N2pc is a small amplitude transient interhemispheric voltage asymmetry used in cognitive neuroscience to investigate subject’s allocation of selective visuo-spatial attention. N2pc is typically estimated by averaging the sweeps of the electroencephalographic (EEG) signal but, in absence of explicit normative indications, the number of sweeps is often based on arbitrariness or personal experience. With the final aim of reducing duration and cost of experimental protocols, here we developed a new approach to reliably predict N2pc amplitude from a minimal EEG dataset. Approach. First, features predictive of N2pc amplitude were identified in the time-frequency domain. Then, an artificial neural network (NN) was trained to predict N2pc mean amplitude at the individual level. By resorting to simulated data, accuracy of the NN was assessed by computing the mean squared error (MSE) and the amplitude discretization error (ADE) and compared to the standard time averaging (TA) technique. The NN was then tested against two real datasets consisting of 14 and 12 subjects, respectively. Main result. In simulated scenarios entailing different number of sweeps (between 10 and 100), the MSE obtained with the proposed method resulted, on average, 1/5 of that obtained with the TA technique. Implementation on real EEG datasets showed that N2pc amplitude could be reliably predicted with as few as 40 EEG sweeps per cell of the experimental design. Significance. The developed approach allows to reduce duration and cost of experiments involving the N2pc, for instance in studies investigating attention deficits in pathological subjects.

Sporadic occurrence of recent selective sweeps from standing variation in humans as revealed by an approximate Bayesian computation approach.

During their dispersals over the last 100,000 years, modern humans have been exposed to a large variety of environments, resulting in genetic adaptation. While genome-wide scans for the footprints of positive Darwinian selection have increased knowledge of genes and functions potentially involved in human local adaptation, they have globally produced evidence of a limited contribution of selective sweeps in humans. Conversely, studies based on machine learning algorithms suggest that recent sweeps from standing variation are widespread in humans, an observation that has been recently questioned. Here, we sought to formally quantify the number of recent selective sweeps in humans, by leveraging approximate Bayesian computation and whole-genome sequence data. Our computer simulations revealed suitable ABC estimations, regardless of the frequency of the selected alleles at the onset of selection and the completion of sweeps. Under a model of recent selection from standing variation, we inferred that an average of 68 (from 56 to 79) and 140 (from 94 to 198) sweeps occurred over the last 100,000 years of human history, in African and Eurasian populations, respectively. The former estimation is compatible with human adaptation rates estimated since divergence with chimps, and reveals numbers of sweeps per generation per site in the range of values estimated in Drosophila. Our results confirm the rarity of selective sweeps in humans and show a low contribution of sweeps from standing variation to recent human adaptation.

Path integral Monte Carlo method for option pricing

The Markov chain Monte Carlo (MCMC) method, in conjunction with the Metropolis–Hastings algorithm, is used to simulate the path integral for the Black–Scholes–Merton model of option pricing. After a brief derivation of the path integral solution of this model, we develop the MCMC method by discretizing the path integral on a time lattice and evaluating this discretized form for various scenarios. Particular attention is paid to the existence of autocorrelations, their decay with the number of sweeps, and the resulting estimate of the corresponding errors. After testing our approach against closed-form solutions, we demonstrate the utility and flexibility of our method with applications to non-Gaussian models.

Effect of sweep parameters on correlation wavelet

Vibroseis is an important seismic exploration method whose sweep signal parameters vary with rock layers deep in the earth. Controlling of sweep signal frequency band is extremely useful method in vibroseis data acquisition. The vibrator is a controlled energy source employed in seismic methods. Nowadays it is widely used and preferable seismic source for land seismic exploration. Suitable input signal is typically a sinusoid that changes frequency within a bandwidth. To obtain high-quality subsurface images, amplitude of the sweep signal and Klauder wavelet is important parameter of vibroseis. In this study, amplitude of Klauder wavelet variations with respect to different sweep parameters are investigated; tests have been made based on a variety of sweep numbers, sweep length, peak force ratio and sweep bandwidth. The results have been compared with theoretical values and the tested parameters are evaluated in the shot and processing domain.

MicroPulse® Transscleral Laser Therapy - Fluence May Explain Variability in Clinical Outcomes: A Literature Review and Analysis.

Since the first peer-reviewed publication on MicroPulse® Transscleral Laser Therapy (MP-TLT) in 2010, authors worldwide have used a wide range of treatment parameter combinations with varying clinical efficacy in terms of the magnitude of intraocular pressure reduction, success rate, durability, and safety profile. This has made it difficult to determine the proper parameters necessary to optimize efficacy and safety, and has made comparison of results from one investigation to another difficult. The first goal of this paper is to explain and highlight the impact of the choices of exposure time and the number of sweeps per hemisphere in terms of “sweep velocity” on energy delivery to the eye. These treatment parameters are underreported in the literature. The second goal is to introduce fluence as a “dose” metric, that combines all the treatment parameters and constants into a single number. Fluence may be a better light-dose metric and a more reliable indicator of clinical outcomes compared to total energy.

Frequency-Following Response in Newborns and Infants: A Systematic Review of Acquisition Parameters.

Purpose The purpose of this study is to characterize parameters used for frequency-following response (FFR) acquisition in children up to 24 months of age through a systematic review. Method The study was registered in PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses' recommendations. Search was performed in six databases (LILACS, LIVIVO, PsycINFO, PubMed, Scopus, and Web of Science) and gray literature (Google Scholar, OpenGrey, ProQuest)as well as via manual searches in bibliographic references. Observational studies using speech stimuli to elicit the FFR in infants with normal hearing on the age range from 0 until 24 months were included. No restrictions regarding language and year of publication were applied. Risk of bias was assessed with the Joanna Briggs Institute Critical Appraisal Checklist. Data on stimulus, presentation rate, time window for analysis, number of sweeps, artifact rejection, online filters, stimulated ear, and examination condition were extracted. Results Four hundred fifty-nine studies were identified. After removing duplicates and reading titles and abstracts, 15 articles were included. Seven studies were classified as low risk of bias, seven as moderate risk, and one as high risk. Conclusions There is a consensus in the use of some acquisition parameters of the FFR with speech stimulus, such as the vertical mounting, the use of alternating polarity, a sampling rate of 20000 Hz, and the /da/ synthesized syllable of 40 ms in duration as the preferred stimulus. Although these parameters show some consensus, the results disclosed lack of a single established protocol for FFR acquisition with speech stimulus in infants in the investigated age range.

Investigation of Brillouin frequency shift error estimated by quadratic fitting and the improved algorithm

A comparison of the performance of the quadratic fitting and the classical Lorentzian, Gaussian, pseudo-Voigt and Voigt fitting according to numerically generated and measured Brillouin spectra has been done. The results reveal that the computational burden of the quadratic fitting is much less than the least-squares ones. However, the Brillouin frequency shift (BFS) error estimated by the former may larger than the errors estimated by the latter. According to a large amount of measured Brillouin spectra with different frequency sweep spans, number of sweeps, signal-to-noise ratios (SNRs), linewidths, deviation of frequency sweep spans and processed by different filters, the influence of the above factors on the BFS error estimated by the quadratic fitting is systematically investigated. The results reveal that the optimal frequency sweep span is about one and a half linewidths. The BFS error decreases as a power of the number of sweep. The BFS error reduces exponentially with SNR (in dB). If the ratio of frequency sweep span and linewidth, and the number of sweep are fixed, the BFS error is approximately proportional to linewidth. Typical filters can significantly improve the accuracy in the estimated BFS and only slightly increase computational burden. An improved quadratic fitting is proposed. In the algorithm, first, Brillouin spectra noise is reduced by typical filter, then one or two linewidths' Brillouin spectra which is symmetric about the peak value are used to estimate BFS by the quadratic fitting. Its accuracy is similar to the classical least-squares fitting. However, its computation time is only one-hundredth of the pseudo-Voigt model based least-squares fitting.

Implicit fast sweeping method for hyperbolic systems of conservation laws

Implicit time-accurate methods are often used to integrate stiff problems where explicit schemes impose severe time step restrictions. This paper presents an efficient numerical framework based on the fast sweeping method (FSM) for solving linear and nonlinear hyperbolic systems of conservation laws. The solution at each discrete location is computed by sweeping the numerical domain in several predetermined directions that follow the causality of the characteristic families. The use of a fractional step strategy eliminates the need for a solution selection criterion while one-sided stencils limit the number of sweeps to at most 2d for d space dimensions. This work focuses on the first-order implicit upwind method since it constitutes the building block for high-order conservative schemes. For problems where the degree of stiffness evolves over time, implicit-explicit hybridization can be accomplished with the same algorithm by simply switching the stencil at each time level. As opposed to traditional implicit solvers, the sweeping method does not require a local time linearization of the fluxes thereby preserving the nonlinear stability properties of the original implicit scheme. It also avoids the large computational and memory requirements associated with solving large block-diagonal systems of equations. A series of one- and two-dimensional test cases are presented for the inviscid Burgers' equation and the reactive Euler equations. The results indicate that the implicit FSM can allow for a major reduction in the number of time steps even in the presence of discontinuous solution profiles.