Small Lag Research Articles

Discovery, characterization, and structure of a cofactor-independent histidine racemase from the oral pathogen Fusobacterium nucleatum

Fusobacterium nucleatum is an oral commensal bacterium that can act as an opportunistic pathogen, and is implicated in diseases such as periodontitis, adverse pregnancy outcomes, colorectal cancer, and Alzheimer’s disease. F. nucleatum synthesizes lanthionine for its peptidoglycan, rather than meso-2,6-diaminopimelic acid (DAP) used by most Gram-negative bacteria. Despite lacking the biosynthetic pathway for DAP, the genome of F. nucleatum ATCC 25586 encodes a predicted DAP epimerase. A recent study hypothesized that this enzyme may act as a lanthionine epimerase, but the authors found a very low turnover rate, suggesting that this enzyme likely has another more favored substrate. Here, we characterize this enzyme as a histidine racemase (HisR), and found that catalytic turnover is ∼10,000× faster with L-histidine than with L,L-lanthionine. Kinetic experiments suggest that HisR functions as a cofactor-independent racemase and that turnover is specific for histidine, while crystal structures of catalytic cysteine to serine mutants (C67S or C209S) reveal this enzyme in its substrate-unbound, open conformation. Currently, the only other reported cofactor-independent histidine racemase is CntK from Staphylococcus aureus, which is used in the biosynthesis of staphylopine, a broad-spectrum metallophore that increases virulence of S. aureus. However, CntK shares only 28% sequence identity with HisR, and their genes exist in different genomic contexts. Knock-out of hisR in F. nucleatum results in a small but reproducible lag in growth compared to wild-type during exponential phase, suggesting that HisR may play a role in growth of this periodontal pathogen.

Dependent Competing Failure Processes in Reliability Systems.

This paper deals with a reliability system hit by three types of shocks ranked as harmless, critical, or extreme, depending on their magnitudes, being below H1, between H1 and H2, and above H2, respectively. The system's failure is caused by a single extreme shock or by a total of N critical shocks. In addition, the system fails under occurrences of M pairs of shocks with lags less than some δ (δ-shocks) in any order. Thus, the system fails when one of the three named cumulative damages occurs first. Thus, it fails due to the competition of the three associated shock processes. We obtain a closed-form joint distribution of the time-to-failure, shock count upon failure, δ-shock count, and cumulative damage to the system on failure, to name a few. In particular, the reliability function directly follows from the marginal distribution of the failure time. In a modified system, we restrict δ-shocks to those with small lags between consecutive harmful shocks. We treat the system as a generalized random walk process and use an embellished variant of discrete operational calculus developed in our earlier work. We demonstrate analytical tractability of our formulas which are also validated, through Monte Carlo simulation.

Investigation of an optimization method for time constants to calibrate reaction calorimeters

In exothermic reactions, scale-up sometimes endangers the chemical process because of the risk of runaway reactions. Reaction calorimeters are used in a laboratory to design a safe chemical process by collecting thermal and kinetic parameters for scale-up. Because scale-up can magnify the errors obtained in laboratory experiments, the cooling capacity can be improperly calculated based on the underestimated heat generation due to thermal lag. Therefore, reaction calorimeters are required to provide accurate heat flow despite thermal delays inherent in the reaction calorimeters.This study validates the time-constant search method for a reaction calorimeter that employs a function of smoothness S(τ) in the presence of noise. The degree of noise was determined by measuring the actual value using a reaction calorimeter. The simulation conducted using spreadsheets demonstrated that even in the presence of noise, it is possible to achieve high accuracy in the search for time-constants when there is a small thermal lag and a large intensity of calibration heat. Moreover, the use of a third-order polynomial approximation to calculate the derivative value proved to be suitable for determining the time constant accurately.

Infants with 4-5 years after intrauterine exposition to zika virus have risk of neurodevelopmental alterations

Background: During 2016-2020, 12,955 cases of Zika virus (ZIKV) infections were reported in México, where Yucatán was the second state with high prevalence. However, the neurological development of children with gestational exposure to these viruses has been poorly studied. Aim: We aim to describe the neurodevelopmental status of infants exposed to ZIKV during pregnancy in Yucatán, México. Methods: Infants aged 4-5 years exposed in utero to ZIKV were first evaluated with the Child Development Assessment 2nd version test (EDI-ll) and later with the Battelle Inventory 2nd version test (IDB-ll). The anthropometric characteristics were evaluated using the Intergrowth 21st Calculator application, the Body Mass Index calculator developed by the CDC, and the WHO head circumference chart. Results: Fifty infants without microcephaly were included, median age of 54.42 + 3.14 months; 28% presented lag and 14% showed a risk of delay. The Fine Motor and Communication areas were the most affected (24% and 20% respectively), followed by Language (16%), Social (12%), and Gross Motor (8%). At reassessment, 64.3% were reclassified as normal and 14.3% remained at risk of delay. The IDB-II test identified neurodevelopmental lags of 10 to 20 months to chronological ages, with a greater lag in the Expressive area and a smaller lag in the Cognitive area. A higher frequency of neurodevelopmental disorders was found in the second trimester of pregnancy. However, exposure during the first trimester of pregnancy coincided with a higher frequency of risk of delay. Conclusion: Our results emphasize the need to evaluate the neurodevelopment of infants with antenatal exposition to ZIKV, during the first 5 years of life from birth to improve their future quality of life.

Diversity of Lagged Relationships in Global Means of Surface Temperatures and Radiative Budgets for CMIP6 piControl Simulations

Abstract Radiative feedbacks over interannual time scales can be potentially useful for global warming estimation. However, the diversity of the lead–lag relationships in global mean surface temperature (GMST) and net radiation flux at the top of the atmosphere (GMTOA) create uncertainty during the estimation of radiative feedbacks. In this study, key physical processes controlling lead–lag relationships were elucidated by categorizing preindustrial control simulations of CMIP6 into three groups based on cross correlation values of GMTOA against GMST at lag 0 and lag +1 year. The diversity in the lead–lag relationships was primarily caused by the climatological state difference of the atmosphere over the equatorial Pacific, which modulated the strength of convective activity and sensitivity of low-level clouds. Diminished atmospheric stability caused enhanced convective activity, more efficient energy release, and smaller lags. In addition, enhanced stability in the lower atmosphere rendered the low-level clouds more sensitive to sea surface temperature changes and considerably delayed the radiative response. The climatological state difference of the atmosphere resulted from model-inherent atmospheric conditions. These findings suggest that the diversity of lead–lag relationships of GMST and GMTOA over interannual time scales could represent the characteristics of general atmospheric circulation models and possible solutions of the actual atmosphere, which could also affect long-term feedback features.

РЕЗУЛЬТАТЫ И ЭФФЕКТИВНОСТЬ РАБОТЫ ГОСУДАРСТВЕННОГО СЕКТОРА В РЕГИОНАХ СЕВЕРО-ЗАПАДНОГО ФЕДЕРАЛЬНОГО ОКРУГА

Studies of the spatial aspect of the public sector efficiency are relevant for Russia because there is a tendency to increase the inequality in the development of Russian regions. For the subject of this study stand the results of public sector activities in the Russian economy in regional context and costs of achieving them. PSE (Public Sector Efficiency) was assessed for 85 regions of the Russian Federation for two periods: 2008–2014 and 2015–2021, and a spatial visualization of the obtained values of the public sector efficiency index is presented. The efficiency rating was headed by the Nenets and Chukotka Autonomous Okrugs, the cities of Moscow and St. Petersburg turned out to be the least effective. The production possibility frontier of the public sector of the subjects of the Russian Federation has been constructed. An in-depth analysis of the results and efficiency of the public sector in the Northwestern Federal District was carried out, and practical recommendations for their increase were presented. A large interregional differentiation in the public sector efficiency in the NWFD has been revealed. The advantage of the NWFD regions was noted in almost all areas of public sector activity, especially in Environment and Economic Development, with a small lag in the Security block.

Microstructural Evolution and Magnetic and Corrosion Properties of FeCoNiAl0.2Yx High-Entropy Alloys

FeCoNiAl0.2Yx (x = 0, 0.05, 0.1, 0.2, 0.3) high-entropy alloys (HEAs) with different Y contents were prepared by a vacuum arc melting method, and experimental methods such as X-ray diffraction (XRD), scanning electron microscope (SEM), vibration sample magnetometer (VSM), hardness tester, and electrochemical workstation were used. The effects of rare Earth Y content on the microstructure, magnetic properties, and electrochemical corrosion properties of the alloy were investigated. The results showed that all FeCoNiAl0.2Yx alloys had a dendrite structure. When x = 0, the alloy consists of the FCC phase, after adding Y element, the HCP2 phase appeared in the alloy, and when x = 0.3, only the HCP1 phase existed in the alloy. The hardness of the alloy increased with the increase of Y content. The FeCoNiAl0.2Y0.1 alloy had the best magnetic properties, reaching a maximum saturation magnetization strength (Ms) of 139.25 emu g−1. The hysteresis area of FeCoNiAl0.2Yx alloys was very small, basically zero, and the hysteresis curves showed a very small lag. The corrosion potential of FeCoNiAl0.2Y0.1 alloy was −1.010 V, and the minimum corrosion current density of FeCoNiAl0.2Y0.1 alloy was 1.181 × 10−5 A cm−2. FeCoNiAl0.2Y0.1 alloy had relatively high corrosion potential and minimum corrosion current density and had excellent corrosion resistance.

Current state and improvement prospects of warehouse workers health and safety practices in Bulgarian manufacturing and trading organizations

Occupational health and safety (OHS) of warehouse workers is a crucial issue for warehouse managers. The importance of OHS practices has increased over recent years due both to high levels of fatal accidents in the logistics industry, and chronic shortage of labor in the sector, which requires systematic efforts to reduce absenteeism and increase warehouse employee motivation. This article aims to address the current state of some fundamental OHS practices of warehouse workers in Bulgarian manufacturing and trading organizations, and to outline some recommendations for their future improvements. The data were collected using the questionnaire survey method among 91 manufacturing and trading organizations in Bulgaria, which operate warehouses, and were processed using Chi-square analysis. The results show that the share of trading organizations, which implement OHS practices is lower, in comparison with surveyed manufacturing organizations. In addition, small organizations lag behind medium and large regarding the use of fundamental measures to protect warehouse workers. The main research findings indicate that there is a need to expand the frequency of OHS practices applied in trading organizations through a wider implementation of joint firefighting drills with fire and emergency safety authorities, adaptation of warehouse infrastructure, clear designation of emergency exits and placement of signs/work instructions for safe work at workplaces. Furthermore, it is critical to increase the use of appropriate work clothing and personal protective equipment (PPE), as well as to provide regular safety briefings in trading warehouses and small organizations.

A multiyear photopolarimetric study of the semi-regular variable V CVn and identification of analog sources

The semi-regular variable star V Canum Venaticorum (V CVn) is well known for its unusual linear polarization position angle (PA). Decades of observing V CVn reveal a nearly constant PA spanning hundreds of pulsation cycles. This phenomenon has persisted through variability that has varied by two magnitudes in optical brightness and through variability in the polarization amplitude over 0.3 and 6.9%. Additionally, the polarization fraction of V CVn varies inversely with brightness. This paper presents polarization measurements obtained over three pulsation cycles. We find that the polarization maximum does not always occur precisely at the same time as the brightness minimum. Instead, we observe a small lead or lag in relation to the brightness minimum, spanning a period of a few days up to three weeks. Furthermore, the PA sometimes exhibits a non-negligible rotation, especially at lower polarization levels. To elucidate the unusual optical behavior of V CVn, we present a list of literature sources that also exhibit polarization variability with a roughly fixed PA. We find this correlation occurs in stars with high tangential space velocities, for instance, “runaway” stars, suggesting that the long-term constant PA is related to how the circumstellar gas is shaped by the star’s high-speed motion through the interstellar medium.

On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data.

Typically, animal locomotion studies involve consecutive strides, which are frequently assumed to be independent with parameters that do not vary across strides. This assumption is often not tested. However, failing in particular to account for dependence across strides may cause an incorrect estimate of the uncertainty of the measurements and thereby lead to either missing (overestimating variance) or over-evaluating (underestimating variance) biological signals. In turn, this impacts replicability of the results because variability is accounted for differently across experiments. In this paper, we analyse the changes of a couple of measures of human leg stiffness across strides during running experiments, using a publicly available dataset. A major finding of this analysis is that the time series of these measurements of stiffness show autocorrelation even at large lags and so there is dependence between individual strides, even when separated by many intervening strides. Our results question the practice in biomechanics research of using each stride as an independent observation or of sub-selecting strides at small lags. Following the outcome of our analysis, we strongly recommend caution in doing so without first confirming the independence of the measurements across strides and without confirming that sub-selection does not produce spurious results.

Syntactic and semantic interference in sentence comprehension: Support from English and German eye-tracking data

A long-standing debate in the sentence processing literature concerns the time course of syntactic and semantic information processing in online sentence comprehension. The default assumption in cue-based models of parsing is that syntactic and semantic retrieval cues simultaneously guide dependency resolution. When retrieval cues match multiple items in memory, this leads to similarity-based interference. Both semantic and syntactic interference have been shown to occur in English. However, the relative timing of syntactic vs. semantic interference remains unclear. In this cross-linguistic investigation of the time course of syntactic vs. semantic interference, the data from two eye-tracking during reading experiments (English and German) suggest that the two types of interference can in principle arise simultaneously during retrieval. However, the data also indicate that semantic cues are evaluated with a small timing lag in German compared to English. This cross-linguistic difference between English and German may be due to German having richer morphosyntactic marking than English, resulting in syntactic cues dominating over semantic cues during dependency resolution. More broadly, our cross-linguistic results pose a challenge for the cue-based retrieval model’s default assumption that syntactic and semantic cues are used simultaneously during long-distance dependency formation. Our work also highlights the importance of collecting cross-linguistic data on psycholinguistic phenomena which can potentially advance theory development.

Response of Runoff Change to Extreme Climate Evolution in a Typical Watershed of Karst Trough Valley, SW China

Identifying the response of runoff changes to extreme climate evolution was of great scientific significance for the rational regulation of watershed water resources and the prevention of hydrological disasters. However, the time–frequency response relationships were not clear. The Yinjiang River watershed, a typical watershed with karst trough valley areas, was chosen to identify the impact of different climatic driving factors on runoff changes from 1984 to 2015. Continuous wavelet transform (CWT), cross-wavelet transform (XWT), and wavelet coherence transform (WTC) were performed to study the response relationship and time–frequency effect between runoff changes and extreme climate change at different time scales. The main results showed that: (1) Twelve extreme climate indices (ECIs) were detected to have a significant impact on runoff changes, mainly on a 6-year time scale; (2) The R10 and Rx1day in extreme precipitation index and SU34.4 and TNx in the extreme temperature index were the main driving factors of runoff changes, which had relatively large impacts on runoff changes in high and low energy vibration regions. However, the remaining eight ECIs that passed the 0.05 confidence level showed relatively large impacts on runoff changes only in low energy vibration regions; (3) The transition of the interaction between ECIs and runoff changes in high and low time–frequency scales was related to the abrupt change characteristics of the ECIs. The correlation of abrupt change was an important reason for the emergence of highly correlated regions that trigger high and low energy vibrations; (4) As a whole, the extreme precipitation events were ahead of runoff changes at the high time–frequency scale and exhibited small lag effects at the low time–frequency scale, while extreme temperature events were mainly ahead of runoff changes. This study has effectively revealed the impact of climate factors at different scales on runoff changes, and provides a theoretical understanding for regulating and managing water resources in karst basins.

Revealing the intrinsic X-ray reverberation lags in IRAS 13224−3809 through the Granger causality test

ABSTRACT The Granger causality is an econometric test for determining whether one time series is useful for forecasting another one with a certain Granger lag. Here, the light curves in the 0.3–1 keV (reflection dominated, soft) and 1.2–5 keV (continuum dominated, hard) bands of active galactic nuclei are produced, and the Granger lags are estimated and compared to the traditional lag–frequency spectra. We find that the light curves in the hard band Granger-cause (lead) those in the soft band, whereas the obtained Granger lags could be interpreted as the intrinsic reverberation lags. Then, we extract the Granger-lag profiles from 14 XMM–Newton observations of IRAS 13224−3809, and find that the lags are significant in 12 observations. The majority of the obtained Granger (intrinsic) lags are ∼200–500 s. With the IRAS 13224−3809 mass of 2 × 106 M⊙, these lags correspond to the true light travel distance of ∼20–50 rg. Hence, by assuming a lamp-post geometry and a face-on disc, this places the corona at ∼10–25 rg above the central black hole. Moreover, multiple Granger lags consisting of the small and large lags of <500 s and >1000 s are detected in four observations. This means that the corona height can significantly evolve from ∼10–25 rg to ∼55rg, or vice versa, towards the end of the observation. Granger lags are a promising way to measure the intrinsic lags, and provide evidence of coronal height variability within each individual observation.

Hybrid Fitted Numerical Scheme for Singularly Perturbed Convection-Diffusion Problem with a Small Time Lag

In this article, a singularly perturbed convection-diffusion problem with a small time lag is examined. Because of the appearance of a small perturbation parameter, a boundary layer is observed in the solution of the problem. A hybrid scheme has been constructed, which is a combination of the cubic spline method in the boundary layer region and the midpoint upwind scheme in the outer layer region on a piecewise Shishkin mesh in the spatial direction. For the discretization of the time derivative, the Crank-Nicolson method is used. Error analysis of the proposed method has been performed. We found that the proposed scheme is second-order convergent. Numerical examples are given, and the numerical results are in agreement with the theoretical results. Comparisons are made, and the results of the proposed scheme give more accurate solutions and a higher rate of convergence as compared to some previous findings available in the literature.

Unconventional Monetary Policy: Diversity of Measures and Information Effects

The paper presents an analysis of the consequences of the European Central Bank’s (ECB) unconventional monetary policy measures from 2007 to 2019. Econometric estimates of the effectiveness of the ECB’s policy can be biased for two reasons: first, the entire range of adopted measures may not be considered, and second, unexpected policy actions can prompt economic agents to revise their expectations and perceptions of the ECB’s monetary policy rule. Such an information shock might be mistakenly interpreted as a monetary shock. The approach proposed in the paper combines factor analysis and sign restrictions on high-frequency data in a Bayesian Vector Autoregression (BVAR) model. This approach yields findings that align with macroeconomic theory and offers a more comprehensive insight into the effects of different unconventional monetary policy measures on both financial and real variables. The identification of a monetary shock is carried out in parallel with the identification of an information shock. Unconventional monetary policy measures are approximated using high-frequency factors that influence specific segments of the yield curve. Unconventional ECB measures prove effective in stimulating business activity and price growth as well as in contributing to reduced financial stress. However, there is heterogeneity in their effects. The announcement of quantitative easing exhibits a small external lag with respect to the policy and leads to increased stock prices and lending volumes, indicating the effectiveness of the portfolio rebalancing and credit channels. For measures related to the shorter end of the yield curve, the external lag of the policy can extend up to a year. These measures strongly impact price growth due potentially to effective management of economic agents’ expectations. The consequences of information shocks are moderate and manifest prominently only in the initial months. This limits their ability to offset the effects of monetary policy and does not hinder the ECB’s goal of achieving inflation targets

Relationship of sleep regularity with device-based sedentary behavior time and physical activity time in working adults

ObjectivesThis study aimed to investigate the association of sleep regularity with time spent in sedentary behavior (SB) and physical activity (PA) in adults with full-time jobs. MethodsThis was a cross-sectional study. Adults aged 21-64 years with full-time jobs were recruited between August 2019 and December 2020 in Taiwan. The time spent in SB/PA was assessed using triaxial accelerometers (Actigraph wGT3x-BT), and PA was further classified into light-intensity physical activity (LPA) and moderate-to-vigorous intensity physical activity (MVPA). Each participant recorded their daily sleep patterns and work hours in a log, which was further used to measure sleep variability and social jet lag. Linear regression was applied to examine the associations of indicators of sleep regularity with SB time and PA time. ResultsA total of 192 adults (men = 28.13%; mean age = 38.56 ± 8.89 years) were included in this study. After adjusting for potential covariates, greater social jet lag was related to more SB time (unstandardized coefficient [B] = 14.39, P = .005) and less LPA time (B = −0.02, P = .010). No evidence of an association between other indicators of sleep regularity with SB/PA time was found. ConclusionsThese results provide evidence for a relationship between sleep regularity and SB/PA time in working adults. Maintaining regular sleep, especially a small social jet lag, was suggested to promote physical activity and avoid a sedentary lifestyle. Future research is recommended to examine work-related influences on the associations and bidirectional relationship between sleep regularity and SB/PA.

Evaluation of groundwater flow through a high rockfill dam foundation in karst area in response to reservoir impoundment

Constructing high dams in karst valleys remains a challenging issue as karst conduits provide preferential channels for flow through the foundations. The uncertainty of the karst system drastically increases the risk of leakage and hence the difficulty in seepage control at the foundations. This study examined the transient flow behaviors through a karst foundation on which a rockfill dam with a height of 219 m had been constructed. During reservoir filling, an abnormal pressure rise occurred in the foundation downstream the grout curtains, typically with a magnitude of 53∼69 m higher than the pore pressure head at the neighboring positions. This phenomenon was comprehensively investigated by site characterization, inverse modelling, numerical simulation and cross-correlation analysis, demonstrating that the abnormal pressure rise is locally induced by eroded fault (left bank) or contact zones between karst formations (right bank). These conduits have an effective permeability value one order of magnitude higher than that of the karst formations, which quickly transmit the reservoir pressure pulse across the grout curtains, as evidenced by a higher cross-correlation and a smaller lag between pool level and piezometer measurements. The grout curtains have sufficiently low permeability in limiting the amount of leakage through the foundation, and hence ensure the safety of the reservoir operation in spite of the pressure rise. This study confirms the applicability of the equivalent continuum model in addressing groundwater flow problems in karst formations, as long as the site conditions are properly characterized.

Scrambling additive lagged-Fibonacci generators

Abstract Random numbers are used in a variety of applications including simulation, sampling, and cryptography. Fortunately, there exist many well-established methods of random number generation. An example of a well-known pseudorandom number generator is the lagged-Fibonacci generator (LFG). Marsaglia showed that the lagged-Fibonacci generator using addition failed some of his DIEHARD statistical tests, while it passed all when longer lags were used. This paper presents a scrambler that takes bits from a pseudorandom number generator and outputs (hopefully) improved pseudorandom numbers. The scrambler is based on a modified Feistel function, a method used in the generation of cryptographic random numbers, and multiplication by a chosen multiplier. We show that this scrambler improves the quality of pseudorandom numbers by applying it to the additive LFG with small lags. The scrambler performs well based on its performance with the TestU01 suite of randomness tests. The TestU01 suite of randomness tests is more comprehensive than the DIEHARD tests. In fact, the specific suite of tests we used from TestU01 includes the DIEHARD tests The scrambling of the LFG is so successful that scrambled LFGs with small lags perform as well as unscrambled LFGs with long lags. This comes at the cost of a doubling of execution time, and provides users with generators with small memory footprints that can provide parallel generators like the LFGs in the SPRNG parallel random number generation package.

The Role of Enterprise Europe Network in Export Activities of the Western Balkan SMEs

The Western Balkan region (WB) small and medium enterprises (SMEs) lag behind the EU-28 counterparts in their export activities. The positive influence of the Enterprise Europe Network (EEN) on local business support organisations and the local businesses is identified as a contributing factor to that improvement. To investigate the EEN's role in the export of the WB SMEs in the period 2014–2017, the authors used available statistical data on export from the WB countries. The survey was conducted in three phases, with the samples of 1,463, 222, and 12 companies. Analysed results of the EEN activities in the WB show that EEN had a positive influence on the firms’ performance and their international activities; 67% of supported firms increased their turnover, 62% increased their market share, and the EEN services had a positive impact on the jobs in 52% of the examined firms. The survey results about the expected and actual impact of the EEN services proved a positive impact of the Network on the five indicators: market improvement, cost savings, job creation or maintenance, quality improvement, and innovation. The paper contains important practical implications for the policymakers and the SME managers alike, and the implications mentioned above are generalisable.

Dual‐stage time series analysis on multifeature adaptive frequency domain modeling

Time series research in academic and industrial fields has attracted wide attention. However, the frequency information contained in time series still lacks effective modeling. The studies found that time series forecasting relies on different frequency patterns: short-term series forecasting relies more on high-frequency components, while long-term forecasting focuses more on low-frequency data. To better describe the multifrequency mode, a dual-stage multifeature adaptive frequency domain prediction model (DMAFD) is proposed in this paper. DMAFD contains two stages. First, it adopts the XGBoost algorithm to obtain a feature vector by analyzing the feature importance. Second, the frequency feature extraction of time series and the frequency aware modeling of the target sequence is integrated, for building an end-to-end prediction network based on the dependence of time series on frequency mode. The innovation is reflected in the fact that the prediction network can automatically focus on multifrequency components according to the dynamic evolution of the input sequence. Extensive experiments on four real data sets from different fields show that DMAFD obtains higher accuracy and smaller lags in time step analysis compared with state-of-the-art algorithms.