Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental investigation on thermo hydraulic performance of ferronanofluid flow in a dimpled tube under magnetic field effect

ABSTRACT Active and passive techniques have been utilized together to enhance heat transfer in this study. The ferronanofluid, magnetic field, and dimpled tube have not been utilized together in the literature so far. Regarding this issue, this investigation is the first experimental study to specify the effect of use of these three effects simultaneously. The concept of this study is to determine the thermo-hydraulic performance of Fe3O4/H2O flow inside a dimpled tube under magnetic field effect. Constant and uniform heat flux of 4500 W/m2 has been applied on the surface of the tube. The work aims to gain data in the range of laminar flow (1131≤ Re≤2102) in the dimpled tube. Dimple geometry with pitch ratio of P/d = 3.75, magnetic field (B = 0.03 ≤ T ≤ 0.16), and nanoparticle volume fraction of 1.0% are the base variables. The results showed that Nusselt number increases with increasing Reynolds number and magnetic field intensity. The highest increase in Nusselt number is obtained as 115.31% compared with the distilled water flow in the smooth tube for the case of magnetic field intensity of 0.3 T. The highest Performance Evaluation Criteria value is also determined as 1.44 for the case of ferronanofluid flow in dimpled tube at Re = 1131 in absence of magnetic field.
Using Magneto-Rheological Dampers in Semiactive Tuned Vibration Absorbers to Control Structural Vibrations

Since their invention in the early 1900s, Tuned Vibration Absorbers (TVAs) have shown to be effective in suppressing vibrations of machines and structures. A vibration absorber is a vibratory subsystem attached to a primary system. It normally consists of a mass, a spring, and a damper. Mounted to the primary system, a TVA counteracts the motions of the primary system, “absorbing” the primary structure’s vibrations. A conventional passive TVA, however, is only effective when it is tuned properly, hence, the name “tuned” vibration absorber. In many practical applications, inevitable off-tuning (or mistuning) of a TVA occurs because of the system’s operating conditions or parameter changes over time. For example, the mass in a building floor could change by moving furnishings, people gathering, etc., which can “off-tune” TVAs. When TVAs are offtuned, their effectiveness is sharply reduced. Moreover, the off-tuned TVAs can excessively amplify the vibration levels of the primary structures; therefore, not only rendering the TVA useless but also possibly causing damage to the structures. Off-tuning is one of the major problems of conventional passive TVAs. To cope with these problems, this study proposes a novel semiactive TVA, which strives to combine the best features of passive and active TVA systems. The semiactive TVA in this study includes a Magneto-Rheological (MR) damper that is used as a controllable damping element, for providing the real-time adjustability that is needed for improving the TVA performance. This study is conducted in two phases. The first phase provides a numerical investigation on a two-degree-of-freedom (2-DOF) numerical model in which the primary structure is coupled with a TVA. The numerical investigation considers four semiactive control methods to regulate damping in the MR TVAs. Using numerical optimization techniques, the semiactive and equivalent passive TVA models are optimally tuned for equal comparison of their performance. Moreover, these tuned systems then serve as the basis for numerical parametric studies for further evaluation of their dynamic performance. The parametric study covers the effects of damping, as well as system parameter variations (off-tuning). The results indicate that semiactive TVAs are more effective in reducing the maximum vibrations of the primary structure and are more robust when subjected to off-tuning. Additionally, the numerical study identifies the “On-off Displacement-Based Groundhook control (on-off DBG)” as the most suitable control method for the semiactive TVA among control methods considered in this study. For the second phase of this study, an experimental study is performed on a test setup, which represents a 2-DOF structure model coupled with an MR TVA. Using this setup, a series of tests are conducted in the same manner as the numerical study to evaluate the performance of the semiactive TVA. The primary purpose of the experiment is to further evaluate the most promising semiactive control methods. Furthermore, the
RECOGNITION OF A PSYCHOEMOTIONAL STATE BASED ON VIDEO SURVEILLANCE: REVIEW

Recognition of human activity based on video is currently one of the most active areas of research in the ﬁeld of computer vision. Various studies show that the eﬀectiveness of recognizing actions depends on the type of functions performed and how these actions are expressed. At the same time, determining the psychoemotional state of controlled persons, including students and schoolchildren, is an urgent socially signiﬁcant problem. The pace of technology development and the growing interest of foreign and domestic specialists indicate that automation of the detection of psychoemotional reactions is an urgent and popular area of research. The main purpose of this study is to review various literary sources and study methods of image recognition, artiﬁcial intelligence technology as a means of determining the psychoemotional state observed based on video surveillance. The article discusses modern types of emotional artiﬁcial intelligence that allow a computer to recognize and interpret human emotions and respond to them. The camera reads a person’s state, and the neural network processes data to detect emotions. The pattern recognition methods discussed in this article can solve many problems, and you can ﬁnd a method that matches the programming language used.
Strength and Durability of Recycled Concrete Strengthened with Steel Fibers and Styrene Butadiene Rubber Latex

Demolition of any structure is costly, and simultaneously there is non-accessibility of land or disposal sites in nearby areas. Recycling such demolished concrete material and converting it into an appropriate size of aggregates can be further used for the following construction cycle. Prior exploration showed utilization of Steel Fibers (SF) and Styrene Butadiene Rubber (SBR) latex in Recycled Concrete (RC) independently for various strength and durability improvements. This experimental work cast RC as M25 & M40 grade to satisfy reinforced concrete and rigid concrete pavement concrete demand. Total 132 cubes, 198 cylinders, and 198 beams of Normal Concrete (NC), RC, and RC reinforced by SF with SBR latex cast and termed as Polymer Modified Steel Fiber Reinforced Recycled Concrete (PMSFRRC). The objective was to evaluate the properties due to SF and SBR latex blending and obtaining the optimum dosages of SF and SBR latex. A strength and durability study was carried out to find out cube compressive strength, indirect tensile strength, flexural strength, chloride attack, and sulfate attack. The concrete was modified with the SBR latex dosage range of 2.5% –7.5% by cement weight. SF was added as 0.5% – 1.5% by concrete mix volume at the average length of 25 mm and 0.5 mm in diameter. Experimental findings of PMSFRRC for grade M25 with SF 1% volume fraction of concrete and SBR latex 5% of cement weight improve NC in indirect tensile strength by 9.93% and 8.58%, flexural strength by 10.01% and 8.99% at 28 and 91 days, respectively. Similarly, there was an enhancement in indirect tensile strength by 13.18 % and 11.11 % and flexural strength by 12.88 % and 10.78 % at 28 and 91 days, respectively, for PMSFRRC of grade M40 compared to NC. Durability analysis shows that a combined dosage of SF 1.5% volume of concrete mix and SBR latex 7.5% of cement weight seemed to be excellent concrete additives for good resistance to acid and sulfate attack for both mixtures. The results exhibited improved hardened properties of modified concrete due to the combined addition of SF and SBR latex, improved cracking resistance, flexure resistance, and reduced acid and sulfate attack rate into the specimens. The study also demonstrated an effective way of preparing sustainable concrete with SF and SBR latex to improve strength and durability.
A Segment List Selection Algorithm Based on Delay in Segment Routing

Segment Routing is increasingly being used in net- work traffic scheduling, while the number of delay-sensitive services in the network is increasing. However, calculating a segment list based on bandwidth alone is not good enough for scheduling experiment-sensitive services. In this paper, we calculate a segment list with delay guarantee effect in two steps. In the first step, an auxiliary graph is constructed by extracting some of the nodes in the network to reduce the network topology complexity, and in the second step, the segment list is calculated by Bellman–Ford algorithm based on the auxiliary graph and the link weights derived from the delay algorithm. We also construct a test environment based on Programming Protocol-independent Packet Processors (P4) to verify that the segment list generation algorithm proposed in this paper can optimize the delay of traffic.
TIME PRESSURE AS A STRESS FACTOR

AbstractTime pressure, increasing, pace of work, stress and “burnout” are the most apparent changes to have taken place in working conditions in Finland in recent years. The situation poses questions like: Should claims about stress and time pressure be taken seriously and should more research be directed to these problems? One of the reasons why time pressure has not been researched properly is that the Scandinavian tradition in stress research, emphasising the organisational and management impacts on stressful time pressure, is losing influence. Researchers study how individuals could adapt to ever increasing time pressure: they do not ask what causes the pressure and how it could be avoided.The Finnish Quality of Work Life Surveys, carried out in 1977, 1984, 1990 and 1997, have shown clear connection between growing demand for productivity, shortages of personnel, and increased time pressure. Psycho-social consequences are clear: social conflicts in workplaces and stress symptoms among employees. Both .
Does digital finance impact debt concentration of Chinese firms?

ABSTRACT We investigate the relation between digital finance and debt concentration in capital structures of firms. Measuring digital finance with a comprehensive index, we show that digital finance is indeed related to more concentrated debt structures of firms. Turning to the sub-indices of digital finance, coverage breadth and usage depth of digital finance increase firms’ debt concentration, while digitization degree is not a central concern for firms. The link between digital finance and debt concentration is stronger for companies with high level of information asymmetry and high default risk.
Utilizing Shared Big Data to Identify Liver Cancer Dedifferentiation Markers

Big data reanalysis has the potential to generate novel comparative analyses which aim to generate novel hypotheses and knowledge. However, this approach is underutilized in the realm of cancer research, particularly for cancer stem cells (CSCs). CSCs are a rare subset of tumor cells, which dedifferentiate from healthy adult cells, and have the potential for self-renewal and treatment resistance. This analysis utilizes two publically available single-cell RNA-seq datasets of liver cancer and adult liver cell types to demonstrate how reanalysis of big data can lead to valuable new discoveries. We identify 519 differentially expressed genes between liver CSCs and healthy liver cell types. Here we report the potential novel liver CSC dedifferentiation factor, Msh Homeobox 2, which was significantly upregulated in liver CSCs by 1.36 fold (p-value < 1E-10). These findings have the potential to further advance our knowledge of genes governing the formation of CSCs.
An Exploring Study of Hidden Markov Model in Rolling Element Bearing Diagnostis

Rolling element bearing is a crucial component in rotating machinery, so the diagnosis of bearing fault has attracted a lot of attention in both scientific and application areas. The objective of fault diagnosis can be viewed as a separation of informative events concerning different types of fault in noisy measurements. Therefore, it is appealing to model the raw signal as a linear combination of few components with the prior knowledge and assumption. Hidden Markov model (HMM) is a probabilistic model of joint probability of a collection of random variables which represent the hidden states as state variables given the observation sequence. In this paper, an exploring study in rolling element bearing diagnostics based on HMM is investigated and a new fault separation scheme is proposed. We analyse the performance of the proposed scheme through numerical experiments and demonstrate its potentiality in industrial applications.
Boost Packed E-Cell: A Compact Multilevel Converter for Power Quality Ancillary Services

Beyond question, replacing conventional two-level power converters by their bidirectional multilevel rivals improves Flexible AC Transmission Systems (FACTS) and Active Power Filters (APF) in terms of efficiency, power quality and switching losses. Regarding the constructive impact of multilevel converters on the performance of FACTSs and APFs, this paper proposes Boost Packed E-Cell (BPEC) as an affordable and reliable compact multilevel converter for the power ancillary services. BPEC is able to generate a voltage waveform with either 9 or 11 levels using three dc capacitors and eight semiconductor switches. The boost operation empowers BPEC to dominate the grid voltage using low power dc-links. Horizontal expansion of the capacitors in BPEC reduces the dc voltage measurements and remarkably enhances the converter reliability. For the case study, BPEC is investigated in the form of a single-phase Compact Active Power Filter (CAPF) when reactive/nonlinear loads are connected to grid. Finite Control Set Model Predictive Control (FCSMPC) is also dedicated to assure the desired performance of BPEC in the CAPC application. The validation tests performed by dSPACE and MATLAB prove successful active damping of the load current harmonics at the point of common coupling.
A field study on the behavior of static drill rooted nodular piles with caps under compression

The static drill rooted nodular (SDRN) pile is a new type of composite pile that consists of a precast pile and surrounding cemented soil. Its cost advantages and environmentally friendly construction have been proven in applications in Southeast China. Moreover, the composition of pipe pile and nodular pile is based on the load transfer mechanisms of a pile foundation, which is effective in optimal design. This paper presents a field study on the behavior of SDRN piles under compression. The load-displacement response, axial force, mobilized load of pile cap, skin friction, and tip resistance of the composite pile are discussed. Here, the bilinear base load-displacement model was adopted to analyze the test results. It is found that providing caps on the static drill rooted piles takes full advantage of the static drill rooted method, and drilling and grouting into the soil beneath the cap, which can be considered a type of ground improvement treatment, can increase the bearing capacity of the pile cap; thus, setting a pile cap for this type of piles is recommended. The existence of the caps in the field tests decreased the skin friction of the upper part of pile shaft because of the additional settlement of the surrounding soil, which developed owing to the pressure from the caps. The frictional capacity of the concrete-cemented soil interface was much higher than that of the cemented soil-soil interface. The skin friction of the lower part of the pile shaft was about 1.25 times in clayey soil and 2.0 times in sandy soil compared with the bored pile. It can be concluded that the cemented soil-soil interface of the SDRN pile was probably better than the concrete-soil interface of the bored pile. The test results fitted the first stage curve of the bilinear model well, and it can be supposed that the base soil was strengthened because of the permeation of the cement paste. 中文概要目 的研究带承台静钻根植竹节桩的抗压承载性能, 承台在荷载传递过程中所起作用, 带承台静钻根植竹节桩的桩侧摩擦性能和桩端承载性能。 创新点通过带承台静钻根植竹节桩的现场静载试验对其抗压承载性能进行分析。 方 法在预制桩制作过程中在桩身安置钢筋应力计(图1), 通过含有钢筋应力计的试桩的静载试验对其抗压承载性能(图7 和8)、各级荷载作用下的桩身轴力(图9 和10)、承台承载性能(图11和12)、桩侧摩擦性能(图18)以及桩端承载性能(图19 和20)进行分析与研究。 结 论1. 静钻根植工法通过搅拌注浆能够改善承台下部土体性质, 在静钻根植桩中设置承台能充分发挥静钻根植工法的优势, 在该种桩基中设置承台比较合适;2. 承台的存在使桩周土体产生沉降, 使得试桩上部桩土相对位移较小, 从而使试桩上部桩侧摩阻力减小, 试桩下部土体所提供的侧摩阻力相比灌注桩都有所提高;在粘性土中试桩桩侧摩阻力值为灌注桩的1.25 倍, 在砂性土中达到2倍, 说明试桩中水泥土-土体接触面摩擦性能优于灌注桩混凝土-桩周土体接触面的摩擦性能, 且在砂性土中提高程度更大;试桩桩端荷载位移曲线基本呈线性, 与双折线模型相似;由于有水泥土的渗入, 桩端土的强度得到提高, 使桩端承载性能也得到提高。
Fault Detection and Isolation using an Adaptive Unscented Kalman Filter

Abstract An enhanced Fault Detection and Isolation (FDI) technique based on 't' statistical test is presented here employing a residual based R-Adaptive Unscented Kalman Filter (AUKF). Although the use of AUKF is common for estimation problem, employing AUKF for FDI duty is quite rare. Adaptive Unscented Kalman filtering framework is chosen here due to its derivative free calculations in the algorithm and reportedly better accuracy. Monitoring the 't' statistic of the innovation sequence, measurement faults are detected and corresponding alarm signals are generated here. The presented 't' statistic based FDI technique comprising of consistency checking and abruptness checking is straight forward, demands less computational burden and minimizes false alarms. The superiority of the proposed AUKF based FDI method compared to non adaptive, nonlinear filtering based FDI techniques is demonstrated here by an extensive simulation study executed on a nonlinear LEO satellite planar model. The use of AUKF has provided faster convergence speed and is also found to be advantageous for the situations where the measurement noise statistics are unknown.
Oil Price Shocks and Industrial Output in Nigeria ; is The Relationship Linear ?

Quick Response Code Abstract: Industrialization being an engine of growth in modern economies and the primary roles energy plays in driving industrialization, stability of oil prices has become a crucial factor with spatial and temporally implications for the performance of the Nigerian industrial subsector. In this regard, this study examined the symmetric and asymmetric effects (if any) of the oil price dynamic on the Nigerian industrial subsector using ARDL and NARDL frame works based on quarterly time series data spanning 1970Q1 to 2018Q4. The result of the short-run linear ARDL model reveals that oil price stimulates marginally the performance of the building and construction industry as well as aggregated industrial output but unfortunately dampened the performance of the manufacturing subsector. Similar to the short-run result, the long-run non-linear shows that oil price shocks (increase and decrease) have mixed and variegated effects on the industrial subsector and its constituents as confirmed by the probability values of the Wald‟s test. The results show that increase in the price of oil dampened aggregate industrial output and manufacturing index with marginal increase in building and construction output. Conversely, a decrease in oil price stimulates industrial manufacturing, building and construction indexes in the long-run though short-lived compare to the negative effects that propagate for a longer period. In light of the empirical findings and the asymmetric nature of oil price shocks on Nigerian industrial subsector, Nigerian government and the industrialists should formulate appropriate trade policy and develop sound industrial policy management mechanism to effectively mitigate the negative effects of oil price shocks on Nigerian industrial subsector. These include inward looking industrial policy, establishment of light industries, promotion of small and medium scales enterprise, Small and Medium Industry Equity Investment Scheme (SMIEIS), National Integrated Industrial Development (NIID), Industrial Park Development strategy (IPDs) and proper funding of Bank of Industry (BOI) during period of oil boom and consequently smoothen Nigerian industrial performance at all times irrespective of the magnitude of oil price variation.
The Association between Exposure to Residential Indoor Volatile Organic Compounds and Measures of Central Arterial Stiffness in Healthy Middle-Aged Men and Women

It is well reported that individuals spend up to 90% of their daily time indoors, with between 60% to 90% of this time being spent in the home. Using a cross-sectional study design in a population of 111 healthy adults (mean age: 52.3 ± 9.9 years; 65% women), we investigated the association between exposure to total volatile organic compounds (VOCs) in indoor residential environments and measures of central arterial stiffness, known to be related to cardiovascular risk. Indoor VOC concentrations were measured along with ambulatory measures of pulse pressure (cPP), augmentation index (cAIx) and cAIx normalized for heart rate (cAIx75), over a continuous 24-h period. Pulse wave velocity (cfPWV) was determined during clinical assessment. Multiple regression analysis was performed to examine the relationship between measures of arterial stiffness and VOCs after adjusting for covariates. Higher 24-h, daytime and night-time cAIx was associated with an interquartile range increase in VOCs. Similar effects were shown with cAIx75. No significant effects were observed between exposure to VOCs and cPP or cfPWV. After stratifying for sex and age (≤50 years; >50 years), effect estimates were observed to be greater and significant for 24-h and daytime cAIx in men, when compared to women. No significant effect differences were seen between age groups with any measure of arterial stiffness. In this study, we demonstrated that residential indoor VOCs exposure was adversely associated with some measures of central arterial stiffness, and effects were different between men and women. Although mechanistic pathways remain unclear, these findings provide a possible link between domestic VOCs exposure and unfavourable impacts on individual-level cardiovascular disease risk.