Miracle-dz/UniFAR-FTUs huggingface dataset:
Positive and Negative Interactions between Mother-in-law and Daughter-in-law: What about Son-in-law?

Mother-in-law (MIL) and daughter-in-law (DIL) relationship is frequently studied due to its turbulent nature. Conflict with mother-in-law also contributes to poorer marital satisfaction. However, few researchers have included son-in-law (SIL) in their studies and neglected how this relationship contributes to couples’ marital satisfaction. This study included son-in-law and investigated the relationships between couples’ positive and negative interactions with mother-in-law and their relationships with marital satisfaction. A total of 197 Malaysian Chinese dual-earners (110 males and 87 females) reported on the following scales: positive and negative interactions with mother-in-law, and marital satisfaction. Gender differences are compared between mother-in-law/daughter-in-law relationship and mother-in-law/son-in-law relationship. These variables were tested via four hypotheses, the relationship between positive interactions with mother-in-law and marital satisfaction, the relationship between negative interactions with mother-in-law and marital satisfaction, and gender differences in the associations tested. Gender differences were found in negative interactions with mothers-in-law and their associations with marital satisfaction. The results were discussed in regards to the importance of the inclusion of son-in-law in examining in-law relationships and marital satisfaction.
Herd behavior of pension funds in sovereign bond investments

Abstract This study investigates herd behavior exhibited by pension funds in the sovereign bond market before, during and after the European debt crisis. It uses unique monthly data on sovereign bond holdings of pension funds and transactions between December 2008 and December 2014. The dataset covers 67 large Dutch pension funds that invest in bonds from 109 countries. We find evidence of intensive herd behavior of Dutch pension funds in sovereign bonds. We also distinguish between European countries which suffer from the European debt crisis, such as Cyprus, Greece, Ireland, Italy, Portugal and Spain, and those that have not. We find high sell herding and low buy herding for the crisis countries during the European debt crisis, whereas in the non-crisis period their herd behavior does not differ substantially from that in non-crisis countries. When we control for institutional, macroeconomic, financial market and pension fund factors, sell herding in crisis countries is still significantly higher. However, we find no evidence of destabilizing behavior with respect to bonds of crisis countries during the European debt crisis.
Evaluation of changes in spatial pattern of metals pollution in surface water using multivariate analysis: case study an urban basin from Buenos Aires, Argentina

ABSTRACT The goal of this paper was to analyze changes in the spatial pattern of metals in water and determining the factors that may be associated with that distribution using the asymmetric eigenvector maps and redundancy analyses in the Matanza Riachuelo river (MRR), Argentina. Data from 2008 and 2014 of metal concentrations (As, Cd, Cu, Cr, Ni, and Pb), water quality parameters and land cover variables from 38 samplings sites in the MRR were collected. The results obtained showed that the general spatial pattern of distribution of all the metals analyzed did not differ between both years and that the water flow was a factor that structured the distribution of metals in the river. The present study showed the utility of using these multivariate analyses to assess the dynamics of the spatial distribution of a group of metals in an urban basin.
Analysis of Current Error Space Phasor for a Space Vector-Modulated Indirect Matrix Converter

AC motor drives fed from current-controlled power electronic converters are popular on account of their superior steady-state and transient performance. Hysteresis control is a popular current control technique, which needs modifications to compensate for its demerits. Appraisal of current error as a space phasor for implementing the hysteresis controller is one such modification. Current error space phasor (CESP)-based hysteresis controller for voltage source inverters-fed motor drives are capable of achieving superior dynamic performance. With the modified hysteresis current controller, the drive operates at a constant switching frequency and ensures an optimal switching vector selection. This article presents the analysis of CESP for a space vector-modulated indirect matrix converter (IMC). The modified algorithm for space vector modulation of IMC accommodates for the variations in dc-link voltage since CESP is input voltage dependent. The boundary for the hysteresis current controller is calculated from the computed values of CESP. The time-varying nature of the hysteresis boundary ensures a constant switching frequency operation for IMC. Thus, a CESP-based hysteresis controller is proposed for the vector control of the IMC-fed permanent magnet synchronous machine (PMSM) drive. Experimental results are presented for validating the performance of the proposed controller.
Sound and Safe: The Role of Leader Motivating Language and Follower Self-Leadership in Feelings of Psychological Safety

This manuscript presents a study on how leader motivating language and follower self-leadership act to influence a follower’s feelings of psychological safety. This study found that both constructs significantly influenced psychological safety in samples from India and the USA. Additionally, this study found that this influence occurred through the mediating processes of trust in leadership, leader inclusiveness, and role clarity. These mediators fully explained motivating language’s relationship with psychological safety, but only partially explained self-leadership’s relationship. Differences existed in the model between samples, but self-leadership showed an overall consistency between the samples for most relationships. Follow-up analysis indicated that self-leadership without leader communication support lead to a weak or non-existent relationship between self-leadership and psychological safety, but a positive and relatively strong relationship in the presence of motivating language.
Selecting Target Range with Accurate Vital Sign Using Spatial Phase Coherency of FMCW Radar

Respiration and heartbeat are basic indicators of the physiological state of human beings. Frequency-modulated continuous wave (FMCW) radar can sense micro-displacement in the human body surface without contact, and is used for vital-sign (respiration and heartbeat) monitoring. For the extraction of vital-sign, it is essential to select the target range containing vital-sign information. In this paper, we exploit the coherency of phase in different range-bins of FMCW radar to effectively select the range-bins that contain accurate signals for remote monitoring of human respiration and heartbeat. To quantify coherency, the spatial phase coherency (SPC) index is introduced. The experimental results show that the SPC can select a range-bin containing more accurate vital-sign signals than conventional methods. This result demonstrates that the proposed method is accurate for monitoring of vital signs by using FMCW radar.
Effects of Amount of Batter in Baking Cup on Muffin Quality

Abstract The purpose of this study was to determine the effects of amount of batter in paper baking cup on the quality characteristics of three different muffin samples. Volume index, volume and muffin yield values increased with the increase in batter amount in baking cup, whereas upside shrinkage value and weight loss values decreased linearly. Moreover, batter weight affected the scores of sensory properties of different muffin samples. Muffins prepared with 70 g of batter gave the highest scores for appearance, crumb grain, and overall acceptability. It was found that putting optimum amount of batter in baking cup was critical to obtain expected product quality characteristics. None of the muffins prepared by using 50, 60, 65, 80 g of batter were acceptable in terms of their quality. In conclusion, muffins were satisfactorily improved in terms of physical, structural, physicochemical, and sensory properties by using 70 or 75 g of batter weight for the baking cup used in the study.
Mass Movements Susceptibility analysis and Assessment of Associeted Risks along the Southern Escarpment of the Bamileke Plateaus (West-Cameroon Highlands)

Raoul Merlin NDONBOU Department of Earth Sciences, Faculty of Science, University of Dschang David Guimolaire Nkouathio (  nkouathio@yahoo.fr ) Department of Earth Sciences, Faculty of Science, University of Dschang https://orcid.org/0000-00016231-7546 Ghislain ZANGMO TEFOGOUM Department of Earth Sciences, Faculty of Science, university of Maroua Christian Suh GUEDJEO Department of Geology, Higher Teacher Training College, University of Bamenda Sylvie Noelle DJUKEM FENGUIA Department of Earth Sciences, Faculty of Science Paul TEMATIO Department of Earth Sciences, Faculty of Science
Insight into the Composition of the Stabilized Residual from a Full-Scale Mechanical-Biological Treatment (MBT) Plant in Terms of the Potential Recycling and Recovery of Its Contaminants

There is a lack of knowledge about the composition and particle size distribution of the <80 mm fraction mechanically separated from residual municipal solid waste (rMSW) and the stabilized residual (SR) after aerobic stabilization in a full-scale MBT plant. Therefore, the composition of the particle size fractions (>60 mm, 60–40 mm, 40–10 mm) of the <80 mm fraction and SR, collected in all seasons (summer (S), autumn (A), winter (W), spring (Sp)), was determined. Biodegradable waste (vegetable waste, other organic waste, paper, cardboard) constituted from 44.1% (A) to 54.3% (Sp) of the <80 mm fraction and it decreased to 8.5% (W) to 17.1% (S) in the SR, after effective biodegradation. In SR, the smaller particle size fractions (up to 40 mm) predominated. The main contaminants in SR were plastic, glass, metal, and other waste. Hierarchical clustering indicated that the composition of the particle size fractions of SR was more similar across four seasons than that of the <80 mm fraction. After stabilization and separation, the share of contaminants increased in the SR size fractions, which means that their recovery before landfilling may be profitable. This suggests a new direction in waste management that would be consistent with the principles of a circular economy, in which a waste product, like SR, which previously could only be landfilled, becomes a source of secondary materials.
Evaluation of effects of Rht-b1a/b/e alleles by using the isogenic lines of bread winter wheat

Rht-B1 is one of the most important genes responsible for the height of bread winter wheat (Triticum aestivum L.). Studies of dwarfing genes are crucial for both improving genetic potential of the bread wheat cultivar and developing new effective breeding strategies in conditions of insufficient moisture. In this study, tall isogenic lines containing wild type Rht-B1a allele (Odes’ka 267 and Odes’ka 51) and short ones containing Rht-B1b (Odes’ka 267b) and RhtB1e (Odes’ka 51e) alleles was analysed. The aim of the experiment was to evaluate direct and pleiotropic effects of these alleles on main agronomic traits of winter wheat in the south steppe region of Ukraine. Methods used are allele-specific PCR, polyacrylamide gel electrophoresis (PAGE), structural analysis of main agronomic traits and statistical data processing. Effects of Rht-B1b and Rht-B1e alleles on important agronomic characteristics of winter wheat were evaluated and were found differences in their influence on such traits: plant height, thousand kernel weight, total protein content, absolute protein content of thousand kernels. Rht-B1e reduces plant height more dramatically than Rht-B1b: decrease in plant height was 40.0% and 17.6%, respectively. The negative effects of Rht-B1e are decline in number of fertile spikelets, number and weight of kernels in the main ear, thousand kernel weight, whereas in plants with Rht-B1b these traits were increased, compared to the Rht-B1a allele plants. Main spike density was decreased by both alleles, but for Rht-B1e the drop was bigger. Rht-B1e more essentially increased productive tillering than Rht-B1b. In drought conditions plants with Rht-B1e allele showed less productivity than those containing Rht-B1b compared to respective recurrent wild type
A Prototypical Conjugated Polymer Regulating Signaling in Plants

The use of nanomaterials has been very recently introduced in plant biotechnologies, for both the monitoring and the enhancement of plants functions. Several functional interfaces between living plants and nanotechnology have been successfully reported for diverse applications, from sensing to photosynthesis and energy production and from modulation of physiological activity to controlled delivery of chemicals. In this work, a photoactive, biohybrid interface based on a prototypical semiconducting polymer, sensitive to green light, and Arabidopsis thaliana plants is reported. Optical excitation of polymer beads is shown to deterministically regulate the Arabidopsis stomatal aperture, the leaf pores which regulate the plant carbon dioxide uptake, oxygen release, and transpiration processes. Moreover, it is observed that excitation of bio‐polymer hybrid interfaces optically modulates the cytosolic calcium ions concentration, which is involved, as a second messenger, in the regulation of stomatal movements. The results support the possibility to employ light‐responsive organic materials to regulate on demand the physiological activity of plant systems, in a drug‐free, touchless, and easily controllable way. When transferred to the field, this strategy may represent an innovative approach to optimize the exchange of gases and water loss of plants, and to improve the plant resilience toward environmental constraints.
SviaB: Secure and verifiable multi-instance iris remote authentication using blockchain

Homomorphic encryption (HE) is the most widely explored research area in the construction of privacy ‐ preserving biometric authentication systems because of its advantages over cancellable biometrics and biometric cryptosystems. However, most of the existing privacy ‐ preserving biometric authentication systems using HE assume that the server performs computations honestly. In a malicious server setting, the server may return an arbitrary result to save computational resources, resulting in a false accept/ reject. To address this, secure and verifiable multi ‐ instance iris authentication using blockchain (SviaB) is proposed. Paillier HE provides confidentiality for the iris templates in SviaB. The blockchain offers the integrity of the encrypted reference iris templates as well as the trust of the comparator result. The challenges of using blockchain in bio-metrics are also addressed in SviaB. Extensive experimental results on benchmark iris databases demonstrate that SviaB provides privacy to the iris templates with no loss of accuracy and trust in the comparator result.
Filter-based surface-enhanced Raman spectroscopy for rapid and sensitive detection of the fungicide ferbam in water

ABSTRACT Surface-enhanced Raman spectroscopy (SERS) has been widely applied for rapid and sensitive detection of various chemical and biological targets. Here, we incorporated a filter syringe system into the SERS method to detect the fungicide ferbam in water. Silver nanoparticles (Ag NPs) were aggregated by sodium chloride (NaCl) to form nanoclusters that could be trapped in the pores of the filter membrane to from the SERS-active membrane. Then samples were filtered through the membrane. After capturing the target, the membrane was taken out and air dried before measuring by a Raman instrument. After optimisation of various parameters, the developed filter SERS method was able to detect the fungicide ferbam as low as 2.5 μg/L and had a good quantitative capability. The developed method was successfully applied in three water samples, including double-distilled water, tap water, and pond water. The test can be carried out on site using a portable Raman instrument. This study shows that the filter-based SERS method improves the detection capability in water samples, including the sensitivity and portability, and could be applied in the detection of various toxins in real-world water samples.
A General Framework for Resource Constrained Revenue Management with Demand Learning and Large Action Space

This paper proposes a general framework/meta-policy to solve Revenue Management (RM) problems with demand learning and potentially large action space, constrained by initial unreplenishable resources. This framework combines the technique of primal-dual method in optimization and Upper-Confidence-Bound (UCB) algorithm in learning. Three important RM applications are discussed in this paper to illustrate the general framework: network revenue management (NRM), dynamic assortment selection with multinomial- logit (MNL) choice model, and joint pricing and assortment optimization problems. This paper demonstrates how to adapt the framework to each application by designing application-specific subroutines. Theoretical results show that the adapted algorithms in all three applications are effective in achieving low regrets, and numerical experiments using the example of dynamic assortment selection demonstrate that our algorithm has great empirical performance and it is computationally efficient.
Study of Magnetohydrodynamic Pulsatile Blood Flow through an Inclined Porous Cylindrical Tube with Generalized Time-Nonlocal Shear Stress

The effects of pulsatile pressure gradient in the presence of a transverse magnetic field on unsteady blood flow through an inclined tapered cylindrical tube of porous medium are discussed in this article. The fractional calculus technique is used to provide a mathematical model of blood flow with fractional derivatives. The solution of the governing equations is found using integral transformations (Laplace and finite Hankel transforms). For the semianalytical solution, the inverse Laplace transform is found by means of Stehfest’s and Tzou’s algorithms. The numerical calculations were performed by using Mathcad software. The flow is significantly affected by Hartmann number, inclination angle, fractional parameter, permeability parameter, and pulsatile pressure gradient frequency, according to the findings. It is deduced that there exists a significant difference in the velocity of the flow at higher time when the magnitude of Reynolds number is small and large.
HAFTA: Highly adaptive fault‐tolerant routing algorithm for two‐dimensional network‐on‐chips

Learning‐based routing algorithms are good candidates for two‐dimensional Network‐on‐Chip (NoC) architectures since they can give good path selection decisions by combining current and past state of the network traffic. On the other hand, they generally send packets through nonminimal paths in order to detour congested areas in an attempt to minimize the communication cost. Since adapting to the traffic changes takes time to gather enough feedback information by the applied learning model, non‐minimal paths may take more time than the congested minimal paths. In this work, we incorporate a probabilistic method to a Q‐learning‐based NoC routing algorithm for selecting a minimal or nonminimal path to minimize the negative effect of learning duration. We also consider the errors in the architecture and propose a fault‐tolerance mechanism that detects both transient and permanent link errors. We compared our method against a standard Q‐learning‐based routing algorithm on several traffic models in terms of throughput and latency. The results show that our method outperforms its counterpart up to 30% in latency and 7% in throughput.
MEMS gratings and their applications

Abstract Grating plays an essential role in various optical systems owing to its unique dispersion properties. In recent years, there is increasing demand to miniaturize optical systems for a wide range of field applications. Therefore, the integration of diffraction grating with MEMS technology provides an efficient way to build truly miniaturized optical systems. Till now, MEMS diffraction gratings have mainly been explored in two directions, namely MEMS scanning gratings and MEMS tunable gratings. MEMS scanning gratings are constructed with a variety of MEMS actuators to drive a grating platform to scan across the target, and they play a significant role in various scanning systems. Meanwhile, the dispersive properties of grating scanners make them attractive in wavelength sensing applications, including spectrometers and hyperspectral imaging systems. Tunable gratings typically employ MEMS actuators to dynamically change the diffraction properties, thus tuning its wavelength sensitivity for a specific application. Thus, this review will introduce these two types of MEMS gratings in detail and evaluate their efficiency and advantages in various fields.
Supercritical fluid extraction of evening primrose oil kinetic and mass transfer effects

For processing utilization, supercritical fluid extraction requires a thorough understanding of the relevant phase equilibria, mass balance, and kinetic factors that impact on the successful recovery of extracts. In this study, we have determined the factors contributing to the kinetics and mass transfer of evening primrose oil (EPO) from its ground seed matrix, to supplement previously determined solubility data and chemical characterization of this oil moiety. The effect of extraction pressure, temperature, fluid density, and flow rate (over a threefold range) have been ascertained; the flow rate effect being correlated in terms of the extracted seed mass and similar data from the literature performed on a pilot and production plant scale. Using a dual mass transfer model, we have correlated the theory with extraction experiments conducted over a pressure range from 20-70 MPa, temperatures from 40°-60°C, and carbon dioxide flow rates in the interval from 9-27 g/min. The agreement between the model calculations and experimental data is excellent allowing potential use of the data in process design.
Solution Processed Low Voltage Metal-Oxide transistor by using TiO2 /Li-Al2O3 stacked Gate Dielectric

A solution processed top-contact bottom gated SnO2 thin-film transistor (TFT) has been fabricated by using a TiO2/ Li-Al2O3 bilayer stacked gate dielectric that show operating voltage of this TFT within 2.0 V. It is observed that the bilayer dielectric has much higher areal capacitance with lower leakage current density that significantly improve the overall device performance of TFT. The TFT with bilayer gate dielectric shows an effective carrier mobility (µsat) of 9.2 cm2V− 1s− 1 with an on/off ratio of 7.1x103 which are significantly higher with respect to the TFT with a single layer Li-Al2O3 gate dielectric. The origin of this improvement is due to the Schottky junction between the highly doped silicon (p++-Si) and TiO2 of bilayer stacked dielectric that induced electrons to the channel which reduces the dielectric/semiconductor interface trap state. This investigation opens a new path to develop TFT device performance using a suitable bilayer stack of gate-dielectric.