Minimum Reaction Time Research Articles

APT: Alarm Prediction Transformer

Distributed control systems (DCS) are essential to operate complex industrial processes. A major part of a DCS is the alarm system, which helps plant operators to keep the processes stable and safe. Alarms are defined as threshold values on individual signals taking into account minimum reaction time of the human operator. In reality, however, alarms are often noisy and overwhelming, and thus can be easily overlooked by the operators. Early alarm prediction can give the operator more time to react and introduce corrective actions to avoid downtime and negative impact on human safety and the environment. In this context, we introduce Alarm Prediction Transformer (APT), a multimodal Transformer-based machine learning model for early alarm prediction based on the combination of recent events and signal data. Specifically, we propose two novel fusion strategies and three methods of label encoding with various levels of granularity. Given a window of several minutes of event logs and signal data, our model predicts whether an alarm is going to be triggered after a few minutes and, if yes, it also predicts its location. Our experiments on two novel real industrial plant data sets and a simulated data set show that the model is capable of predicting alarms with the given horizon and that our proposed fusion technique combining inputs from different modalities, i. e. events and signals, yields more accurate results than any of the modalities alone or conventional fusion techniques.

Microwave co-pyrolysis of Chlorella vulgaris and tea oilseed residues under metal-organic frameworks derived catalysts

The co-pyrolysis of Chlorella vulgaris (CV) and tea oilseed residue (TR) is beneficial for improving the pyrolysis characteristics and bio-oil quality. In this study, the effects of different added amounts (5 %, 10 %, 15 %, and 20 %) of metal-organic frameworks (MOFs) derived catalysts (Cu/C, Co/C, Cu-Co/C) on the co-pyrolysis of CV and TR were investigated using microwave pyrolysis oven. The results showed that the MOFs derived catalysts improved the co-pyrolysis reaction; the maximum average reaction rate (Rv, 0.02466 wt%/s), and the minimum reaction time (Ts, 2900 s) were obtained at 20 % Cu-Co/C. In addition, 15 % Co/C obtained the highest bio-oil yield, which reached 23.26 wt%. In the case of bio-char, the highest yield (29.83 wt%) was obtained at 5 % Cu-Co/C. Finally, GC-MS analysis showed that compared to C1T1 (CV:TR = 1:1), the Cu/C and Cu-Co/C catalysts increased the hydrocarbon content in bio-oil by 7.68 % and 9.68 % respectively, while reducing the contents of phenols and amines, whereas Co/C reduced the ester content of bio-oil by 19.14 %.

Microwave catalytic co-pyrolysis of microalgae and high density polyethylene over activated carbon supported bimetallic: Characteristics and bio-oil analysis

Three activated carbon (AC) supported bimetallic catalysts (Ce-Fe/AC, Ce-Ni/AC, Ce-Cu/AC) were prepared, and the catalysts' impacts on the microwave co-pyrolysis of Chlorella vulgaris (C. vulgaris) and high density polyethylene (HDPE) (mixing ratio of 1:1, C1HP1) were explored. The findings indicated that the catalysts promoted the co-pyrolysis of C1HP1 substantially at 40 % and 50 % additions. The minimum reaction time (2945 s) was observed at 40 % Ce–Fe/AC. Compared to the C1HP1 group, Ce-Fe/AC groups exhibited a pronounced promotional impact on bio-oil production, with the maximum bio-oil yield (25.8 %) catalyzed by 30 % Ce–Fe/AC. Furthermore, the catalyst's high hydrogenation activity and deoxygenation promoted the formation of H2O, NH3 and HCN, achieving over 40 % efficiencies in deoxygenation and denitrification for bio-oil. 40 % Ce–Cu/AC exhibited superior performance with the highest hydrocarbon (67.43 %) and aromatic hydrocarbon content (50.75 %), as well as leading deoxygenation (44.38 %) and nitrogen removal (58.63 %) efficiency among the AC supported bimetallic catalysts.

Rapid Synthesis and Evaluation of Resveratrol-Piperazine Cocrystals by Ultrasound and Microwave Methods.

Resveratrol-piperazine cocrystals have been obtained by ultrasound (US) and microwave-assisted (MW) techniques, using the solution and slurry-based methods, to study the influence of the synthesis method on the resulting cocrystal properties, and scalability of the processes. The potential of these cocrystals is represented by the unique properties of their components, resveratrol, and piperazine, which could be also used in veterinary practice. Resveratrol has antimicrobial, antiviral and anticarcinogenic properties, while piperazine can be used in the treatment of parasitic infections. The influence of ultrasound and microwave-assisted treatment was studied by varying synthesis parameters such as reaction time, temperature, and US or MW power. The main advantage of using these methods is represented by shorter synthesis time compared to conventional methods, resulting in the direct formation of the cocrystals. All samples were obtained in high purity, above 97%. Cocrystal yield correlated positively with ultrasound reaction time, while temperature was not found to influence the microwave synthesis yield up to 50°C, in the case of solution-based methods. MW and US-assisted solution-based methods lead to yields between 52.9 and 68.1%. In the case of the slurry-based method, a minimum reaction time of 5 min leads to the formation of cocrystals with high purity. The resveratrol-piperazine cocrystal's solubility and in vitro antibacterial activity were also evaluated, showing promising results. Ultrasound and microwave-assisted techniques offer a viable alternative for synthesizing resveratrol-piperazine cocrystals with short reaction times, high yield, and purity, suitable for scalable resveratrol-piperazine cocrystals.

RT-RPA Assay Combined with a Lateral Flow Strip to Detect Soybean Mosaic Virus.

Soybean (Glycine max L.) is one of the most widely planted and used legumes in the world, being used for food, animal feed products, and industrial production. The soybean mosaic virus (SMV) is the most prevalent virus infecting soybean plants. This study developed a diagnostic method for the rapid and sensitive detection of SMV using a reverse transcription-recombinase polymerase amplification (RT-RPA) technique combined with a lateral flow strip (LFS). The RT-RPA and RT-RPA-LFS conditions to detect the SMV were optimized using the selected primer set that amplified part of the VPg protein gene. The optimized reaction temperature for the RT-RPA primer and RT-RPA-LFS primer used in this study was 38℃ for both, and the minimum reaction time was 10 min and 5 min, respectively. The RT-RPA-LFS was as sensitive as RT-PCR to detect SMV with 10 pg/μl of total RNA. The reliability of the developed RT-RPA-LFS assay was evaluated using leaves collected from soybean fields. The RT-RPA-LFS diagnostic method developed in this study will be useful as a diagnostic method that can quickly and precisely detect SMV in the epidemiological investigation of SMV, in the selection process of SMV-resistant varieties, on local farms with limited resources.

Optimization using central composite design for continuous absorption of CO2 gas with green sodium silicate in a packed bed column

If absolutely nothing is taken to reduce carbon dioxide (CO2) emissions, atmospheric concentrations of carbon dioxide will rise to 550 parts per million by 2050, which will have disastrous effects on the world's climate and food production. An apparatus has been designed and setup to convert CO2 into a useful and vital product which was silica. The effect of different experimental factors on the compositions by weight percent of SiO2 and Na2CO3 were studied including the CO2 gas flow rate (1.037, 1.648 and 2.26 L/min), initial concentration of sodium silicate (Na2SiO3) solution (5, 7.5 and 10 %wt) and the packing size (15.95, 20.175, and 24.4 mm). An optimization process was performed using the Design Expert software program to achieve the optimum experimental conditions at which the maximum weight percent of SiO2 (main product), the minimum weight percent of (Na2CO3) (side product) and the minimum reaction time were determined. From the optimization process, the maximum weight percent of SiO2 (25.63 %), the minimum weight percent of (Na2CO3) (9.62 %) and the minimum reaction time (7.59 min) were achieved at the following optimum experimental conditions of CO2 gas flow rate = 1.648 L/min, packing size = 24.4 mm and initial concentration of sodium silicate solution = 10 %wt.

Elucidating co-conditioning strategies of aluminium-based sludge using natural biopolymeric magnetite composite for leveraging dewaterability

Significant co-conditioning of aluminum-based sludge using alternative conditioner (natural biopolymer-magnetite/H2O2) as a Fenton conditioner for improving the sludge dewaterability is investigated in the current study. Firstly, natural biopolymer/magnetite (NBP-M) were prepared in various ratios and the samples labeled as (NBP-M-(1:1); NBP-M-(1:3) and NBP-M-(2:1). Focuses were placed on factors influencing such novel Fenton conditioner. Capillary suction time (CST) was utilized to assess sludge dewaterability. Experiments have exhibited that significant development of alum sludge dewaterability could be attained at minimum reaction time and using low concentrations of the applied catalyst, i.e. natural biopolymer/magnetite and H2O2. It was found that sludge conditioning and dewaterability became better with increasing both reagents concentrations. A Box–Behnken experimental design based on the response surface methodology was investigated to explore the optimum of the influencing variables, i.e. catalyst (NBP-M) concentration, H2O2 loading and pH. The optimized values for NBP-M, H2O2, and pH are 46 and 380 mg/L, respectively at pH 3.0, at which the CST reduction efficiency of 58 ± 3% can be attained, this approved with that predicted by an established polynomial model in the current investigation.

Fast saccades to faces during the feedforward sweep.

Saccadic choice tasks use eye movements as a response method, typically in a task where observers are asked to saccade as quickly as possible to an image of a prespecified target category. Using this approach, face-selective saccades have been observed within 100ms poststimulus. When taking into account oculomotor processing, this suggests that faces can be detected in as little as 70 to 80ms. It has therefore been suggested that face detection must occur during the initial feedforward sweep, since this latency leaves little time for feedback processing. In the current experiment, we tested this hypothesis using backward masking-a technique shown to primarily disrupt feedback processing while leaving feedforward activation relatively intact. Based on minimum saccadic reaction time, we found that face detection benefited from ultra-fast, accurate saccades within 110 to 160ms and that these eye movements are obtainable even under extreme masking conditions that limit perceptual awareness. However, masking did significantly increase the median SRT for faces. In the manual responses, we found remarkable detection accuracy for faces and houses, even when participants indicated having no visual experience of the test images. These results provide evidence for the view that the saccadic bias to faces is initiated by coarse information used to categorize faces in the feedforward sweep but that, in most cases, additional processing is required to quickly reach the threshold for saccade initiation.

Ignition Delay and Reaction Time Measurements of Hydrogen–Air Mixtures at High Temperatures

Induction and reaction times of hydrogen–air mixtures (ϕ = 0.5–2) have been measured behind reflected shock waves at temperatures of 1000–1600 K, pressures of 0.1, 0.3, 0.6 MPa in the domain of the extended second explosion limit. The measurements were performed in the shock tube with a completely transparent test section of 0.5 m long, which provides pressure, ion current, OH and high-speed chemiluminescence observations. The experimental induction time plots demonstrate a clear increasing of the global activation energy from high- to low temperature post-shock conditions. This trend is strongly pronounced at higher post-shock pressures. For a high-temperature range of T > 1200 K, induction time measurements show an activation energy for the global reaction rate of hydrogen oxidation of 64–83 kJ/mole. Detected reaction times exhibit a big scatter and a weak temperature dependence. The minimum reaction time value was nearly 2 µs. Obtained induction time data were compared with calculations carried out in accordance with the known kinetic mechanisms. For current and former shock-tube experiments within a pressure range of 0.1–2 MPa, critical temperatures required for strong (1000–1100 K), transient and weak auto-ignition modes behind reflected shock waves were identified by means of the pressure and ion-probe measurements in stoichiometric hydrogen-air mixture. The transfer from the strong volumetric self-ignition near the reflecting wall to the hot spot ignition (transient) was established and visualized below <1200 K with a post-shock temperature decreasing.

Synthesis of azepane-acridine heterocyclic adducts assisted by the catalytic influence of γ-Fe2O3@TiO2-Vitamin B1 and evaluation of their medicinal potential through in vitro antimicrobial, QSAR, and molecular docking studies

Present work elicits synthesis of novel azepane-acridines, assisted by titania-encapsulated γFe2O3 nanoparticles supported on Vitamin B1 (γFe2O3@TiO2-Vitamin B1) as a new magnetically recyclable heterogeneous nano-catalytic system. The reaction was accomplished using biocompatible PEG-200 (Polyethylene glycol) as the solvent under ultrasonic irradiations. The structure and morphology of synthesized magnetic nano-catalyst was ascertained based on data obtained from powder X-ray diffraction (PXRD), field emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDAX), Fourier transform infrared (FT-IR), and VSM (Vibrating-sample magnetometer) TGA, DTA and DTG techniques. The characteristic size of the prepared heterogenous nano-catalyst is 34.62 nm. Also, the structures of all the synthesized azepane-acridine heterocyclic scaffolds were corroborated through spectro-analytical data. These new compounds were found to have remarkable biological activity profile against the bacterium S.aureus with IC50 values ranging from 1.41 to 2.75 µg/mL. Further, these in-vitro studies were correlated with statistically significant 2D/3D- QSAR models. The best 2D-QSAR models reveal the positive influence of slogp and Vander Waal Surface area descriptors while the negative influence of the polar surface area and T_2_N_6 descriptors on the bioactivity with ideal values of squared correlation coefficient (r2), cross-validated correlation coefficient (q2) with high values of Fisher ratio (F-test) indicating the model to be statistically relevant. The finest 3D-QSAR models MLR (Multiple Linear Regression method) provide practical information in the characterization and differentiation of compound binding sites. Moreover, molecular docking studies were performed to evaluate the antifungal activity of synthesized scaffolds against the black fungi crystal protein, indicating remarkable bioassay scores. Atom economy, practical feasibility, cost-effectiveness, minimum reaction time, High yields, and an additive-free process are the foremost advantages of the developed methodology.

ONE-POT SYNTHESIS OF 5-(ARYL)-1,3,4-THIADIAZOLE-2- AMINES IN PEG-400

A relatively green one-pot environmentally benign protocol has been developed for the smooth access of 5- (Substituted-phenyl)-[1,3,4]thiadiazole-2-amine derivatives. Present research involved the cyclocondensation response of substituted fragrant carboxylic acid and thiosemicarbazide under microwave irradiation with the usage of PEG-400 as a green catalyst. The protocol was found to be an easy, cheaper, and metallic-free green medium. The remarkable features of the present investigation are safe and environmentally benign, inexpensive, and use of nontoxic and non-volatile PEG-400 as a medium. The present study involved direct condensation of aromatic carboxylic acid with thiosemicarbazide in a minimum reaction time to obtain an excellent yield of thiadiazol-2-amines

Good times, bad times? An evaluation of event detection strategies in time to boundary postural assessments

Time-to-boundary (TtB) is a popular balance metric that identifies minimum reaction times available to correct balance challenges during quiet standing. Minimum event criteria is a critical methodological consideration to determine physiologically relevant TtB outcomes yet selection methodology appears inconsistent and/or vaguely defined across studies. This study aimed to identify a robust, objective methodology to select meaningful TtB outcomes. Ninety-seven healthy adults stood quietly on a force platform with eyes open and feet together. Anterior-posterior (AP) and medial-lateral (ML) center-of-pressure data from 150 s were utilized to compute a TtB series. The MATLAB findpeaks function identified minima with and without a time delay following selected events and/or a vertical axis threshold. An individualized time delay excluded excessively large values that hold no clinically relevant information, and this effect was enhanced by a vertical threshold at 22 s. The absolute minimum TtB was unaffected by any findpeaks criteria. The recommendations implicated by these results will help improve clarity and consistency among TtB studies, thereby enhancing the applicability of clinical findings.

Microwave catalytic co-pyrolysis of chlorella vulgaris and oily sludge by nickel-X (X = Cu, Fe) supported on activated carbon: Characteristic and bio-oil analysis

Microwave co-pyrolysis of chlorella vulgaris (CV) and oily sludge (OS) was conducive to improving pyrolysis characteristics and bio-oil quality. In this study, activated carbon (AC) was used as carrier to prepare metal supported catalysts (Ni/AC, Ni–Cu/AC and Ni–Fe/AC), and the effects of catalysts with different additions (5%, 10% and 15%) on co-pyrolysis of CV and OS were investigated by microwave pyrolysis furnace. The results indicated that metal supported catalysts improved the co-pyrolysis characteristics, especially at 10% addition amount. The maximum average rate of weight loss (Rv) and minimum reaction time (Ts) occurred in the 10% Ni–Fe/AC group. Moreover, addition of 10% metal supported catalysts showed promoting effect on producing bio-oil, and the maximum bio-oil yield (22.1%) obtained in the 10% Ni–Cu/AC group. GC-MS analysis indicated that addition of 10% Ni–Fe/AC increased aliphatic hydrocarbons in bio-oil to 44.52%, while 10% Ni/AC increased hydrocarbons to 76.62%. Furthermore, the deoxidization efficiency of bio-oil exceeded 35% with metal supported catalysts adding. The maximum deoxidization efficiency (46.57%) was obtained when adding 10% Ni–Fe/AC.

Incremental Deinterleaving of Radar Emitters

In this paper, we present a new paradigm for the deinterleaving of radar signals in electronic support systems. Traditional systems observe the electromagnetic spectrum for a longer period of time and perform the deinterleaving operation batch-wise. This paper presents a new approach, where the deinterleaving is performed after each detected radar pulse, which we call pulse-to-pulse incremental deinterleaving. It enables minimum reaction time of the system for the detection of radar emitters. For that purpose the paper presents three incremental clustering algorithms based on DBSCAN, Adaptive Resonance Theory and the Leader approach. The algorithms are evaluated using simulated PDW data of realistic complex radar scenes. The results show, that incremental approaches can achieve a similar accuracy as non-incremental methods, but have much faster reaction times to the occurrence of new emitters.

Effect of monochromatic light on the behavior of the ctenophore Mnemiopsis leidyi (A. Agassiz, 1865)

Ctenophores are invertebrate, gelatinous predators that perform complex movements due to their numerous ciliary comb plates. We investigated the behavioral responses of the ctenophore Mnemiopsis leidyi A. Agassiz, 1865 to red, green, and blue lights of different powers and fluxes emitted by LEDs or lasers. White LEDs were used to mimic natural sunlight. When laser light was directed to the aboral organ, the animals tended to leave the illumination zone. The blue-light reaction was six times faster than the red-light reaction. The behavioral strategy of the animals changed significantly when their freedom of maneuvering was restricted. Typical locomotions were ranked according to the laser beam avoidance time from the beginning of exposure to going into darkness. The minimum reaction time was required for turning and moving the ctenophore, while moving along the laser beam and turning around required more time. Typical patterns of behavior of M. leidyi in the light flux were established using cluster analysis. Three preferential behavioral strategies were identified for avoiding laser irradiation: 1) body rotation; 2) shifting sideways; and 3) movement with deviation from the beam. The elementary ability of ctenophores to make decisions in situative conditions has been demonstrated.

A novel collision warning system based on the visual road environment schema: An examination from vehicle and driver characteristics

Drivers pay unequal attention to different road environmental elements and visual fields, which greatly influences their driving behavior. However, existing collision warning systems ignore these visual characteristics of drivers, which limits the performance of collision warning systems. Therefore, this study proposes a novel collision warning system based on the visual road environment schema, in order to enhance the support for avoiding potential dangers in objects and areas that are easily overlooked by the drivers’ vision. To capture the above visual characteristics of drivers, the visual road environment schema that consists of the semantic layer, the scene depth layer, the sensitive layer, and the visual field layer is established by using several different deep neural networks, which realizes the recognition, quantization, and analysis of the road environment from the drivers’ visual perspective. The effectiveness of the novel collision warning system is verified by the driving simulation experiment from six indicators, including warning distance, maximum lateral acceleration, maximum longitudinal deceleration, minimum collision time, reaction time, and heart rate. Additionally, a grey target decision-making model is built to comprehensively evaluate the system. The results show that compared with the traditional collision warning system, the novel collision warning system proposed in this study performs significantly better and can discover potential dangers earlier, give timely warnings, enhance the vehicles’ lateral stability and driving comfort, shorten reaction time, and relieve the drivers’ nervousness. By integrating the drivers’ visual characteristics into the collision warning system, this study could help to optimize the existing collision warning system and promote the mutual understanding between intelligent vehicles and human drivers.

CRISPR-Cas Detection Coupled with Isothermal Amplification of Bursaphelenchus xylophilus.

The pine wood nematode (PWN), Bursaphelenchus xylophilus, causes significant damage to pine trees and, thus, poses a serious threat to pine forests worldwide, particularly in China, Korea, and Japan. A fast, affordable, and ultrasensitive detection of B. xylophilus is urgently needed for disease diagnosis. Recently, clustered regularly interspaced short palindromic repeats (CRISPR)-based diagnostics have reshaped molecular diagnosis, with high speed, precision, specificity, strength, efficiency, and versatility. Herein, we established two isothermal diagnostics methods based on CRISPR-based platforms (CRISPR/Cas12a and CRISPR/Cas13a) for B. xylophilus-specific detection via fluorescence or lateral-flow strip readout. The guide RNA and CRISPR RNA were designed to target the 5S ribosomal DNA intergenic spacer sequences region of B. xylophilus. Recombinase-aided amplification was used for preamplification whose reaction condition was 37°C for 15 min. The sensitivity of CRISPR/Cas12a could reach 94 copies/µl of plasmid DNA, or 2.37 copies/µl of purified genomic DNA (gDNA) within 45 min at 37°C, while the sensitivity of CRISPR/Cas13a was 1,000 times higher than that of CRISPR/Cas12a of plasmid DNA in 15 min or 100 times higher of purified gDNA at the minimum reaction time of 4 min via fluorescence measurement. The CRISPR/Cas12a assay enabled the detection of 0.01 PWNs per 100 mg of pine wood, 10 times higher than that of the CRISPR/Cas13a assay. This work enriches molecular detection approaches for B. xylophilus and provides huge potential for ultrasensitive and rapid methods to detect B. xylophilus in pine wood, facilitating point-of-sample diagnostic processing for pine wilt disease management.

To the characterization of nervous processes in people with different heat sensitivity

The aim of the study was to diagnose functional mobility and strength of nervous processes in people with different heat sensitivity.Materials and methods. For this study, 150 students aged 17-20 years were involved. The subjects were divided into two groups, according to the questionnaire "Levels of heat sensitivity" and heat test. Diagnosing functional mobility of nervous processes in the feedback mode was conducted using the computer program "Diagnost 1M". The strength of nervous processes was also studied, according to the quality of mental load, using the imposed rhythm mode and in the feedback mode. Results. According to the results of the examination, it was found that participants with lower heat sensitivity (group B) have a higher rate of nervous processes strength according to the criterion of the total number of presented and processed signals within five minutes. They also had an average level of functional mobility of nervous processes. Participants with higher heat sensitivity (group A) had a lower than average level of functional mobility. In addition, a correlation was found between the minimum reaction time to a stimulus and the level of heat sensitivity in people. Regarding the quality of mental load performance using the imposed rhythm mode, a higher than average level of test errors was found in group A, while in group B this indicator was within the average level.Conclusions. Persons with lower heat sensitivity have a higher level of strength of nervous processes and their functional mobility, which results in more successful coping with mental load in the mode of imposed rhythm, compared to participants with higher heat sensitivity. Therefore, in subjects with a higher level of heat sensitivity, compared to those with a lower level, impaired concentration and decreased mental performance occur earlier.

Machine Learning that Proposes Reaction Conditions and Yields for Wittig-type Methylenation of Aldehydes with Bis(iodozincio)methane in a Flow-microreactor

Machine learning based on batch reaction data of 29 substrates was used to devise a multivariate linear regression model to predict the reaction rate graph of Wittig-type methylenation for any aldehyde with bis(iodozincio)methane. The predicted graph can simultaneously determine the highest achievable yield and the minimum reaction time, which can be regarded as the residence time necessary to obtain the highest yield of methylenation with bis(iodozincio)methane in a flow-microreactor.

Come together: A unified description of the escalator capacity.

We investigate a variety of aspects related to the simulation of passenger dynamics on escalators, mainly focusing on the discrepancy between the 'theoretical' and the 'practical' capacity that is observed for these facilities. The structure of the paper is twofold. In the first part, we introduce a space-continuous model to describe the transition of agents from walking on the plain to standing on the escalator. In the second part, we use numerical findings from simulations to study important measures like minimum distances between the standing agents and average occupancies of the escalator steps. One of the most important results obtained in this paper is a generalized analytical formula that describes the escalator capacity. We show that, apart from the conveyor speed, the capacity essentially depends on the time gap between entering passengers which we interpret as human reaction time. Comparing simulation results with corresponding empirical data from field studies and experiments, we deduce a minimum human reaction time in the range of 0.15s-0.30s which is in perfect agreement with results from social psychology. With these findings, it is now possible to determine accurately the relationship between the capacity and the speed of an escalator, allowing a science-based performance evaluation of buildings with escalators.