Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrophoretic Deposition of Hexagonal Boron Nitride Particles from Low Conductivity Suspension

Given that hexagonal boron nitride (hBN) particles are extremely stable in colloidal suspensions due to their low density, they are difficult to deposit via electrophoretic deposition (EPD). Poly (diallyldimethylammonium chloride) (PDDA) is widely used as a polyelectrolyte for ceramic particles because of its strong electrophoretic response. Nevertheless, studies on PDDA as a functionalising agent of hBN particles for EPD remain elusive. Here, hBN particles were functionalised with different amounts of PDDA to investigate effects on suspension stability and EPD yield. Deionised (DI)-water-based hBN particle suspensions with PDDA contents that varied from 0.3 wt% and 0.6 wt% (of hBN basis) were prepared using washed as-received hBN particles. Then, washed and nonwashed PDDA-functionalised hBN particle groups were prepared by subjecting only the former to water washing. Washing, which involved the repeated particle dispersion in DI water and vacuum filtration, successfully reduced the conductivity of the aqueous hBN suspension to 2 µS/cm, which was significantly lower than the conductivities of 180 and 25 µS/cm shown by the as-received particle suspension and PDDA-functionalised particles before washing. This result indicated that washing eliminated the interference of free ions on the suspension stability of hBN particles and EPD yield. In contrast to that of the nonwashed group, the suspension stability of the washed group decreased as the PDDA content was increased. Nevertheless, at 0.3 wt% and 0.6 wt% PDDA, the EPD yields of the washed group were 183% to 31% higher than those of the nonwashed group. This study provided new insight into the EPD of hBN particles using low-cost aqueous suspensions with sustainable ultralow ion conductivity.
The Concomitant Pattern of Association Between Subjective Global Sleep Quality and Daytime Dysfunction in Hypnotic-Treated Older Adults: The Yilan Study, Taiwan

Objective The relationship between improvements in subjective sleep quality and restoration of daytime function remains unclear. This study aimed to examine the concomitant pattern between subjective sleep quality and daytime dysfunction in hypnotic-treated older adults. Methods This was a community-based, cross-sectional study. Participants comprised community-dwelling adults aged ≥ 65 years. Individual items from the Pittsburgh Sleep Quality Index (PSQI) were adopted to evaluate subjective global sleep quality and daytime dysfunction. Daytime dysfunction included composite scores of daytime dysfunction in the PSQI and its two sub-components: “staying awake” and “maintaining enthusiasm. ” Based on hypnotic use and status in subjective sleep quality, participants were categorized into four groups: “healthy control,” “treated with good sleep quality (T+GSQ),” “treated with poor sleep quality (T+PSQ),” and “not treated with poor sleep quality (NT+PSQ)”. The associations between these four groups and daytime dysfunction were analyzed using logistic regression. Results In total, 2622 individuals participated in the study. After controlling for covariates, the T+PSQ group was more likely to have daytime dysfunction, including “composite daytime dysfunction” (OR: 6.41; 95% CI: 3.90–10.55), “poor at staying awake” (OR: 3.04; 95% CI: 1.45–6.37), and “poor at maintaining enthusiasm” (OR: 7.42; 95% CI: 4.33–12.70) compared to the T+GSQ group. However, the healthy control group was less likely than the T+GSQ group to present with daytime dysfunction, including “composite daytime dysfunction” (OR: 0.43; 95% CI: 0.26–0.72) and “poor at maintaining enthusiasm” (OR: 0.39; 95% CI: 0.22–0.68). Conclusion Subjective sleep quality attributed to hypnotic use did not necessarily indicate restoration of daytime dysfunction.
Wideband, Millimeter Wave Domain SI Canceling (>50dB) In-Band Full-Duplex Circulator Receiver

This paper describes a 26-GHz fully integrated In-band Full-duplex Circulator (IBFD) Receiver (RX), which employs passive and active Self-interference Cancellation (SIC) techniques in the mm-wave domain. Coverage of wireless networks at mm-wave frequencies can be enhanced by deploying a large number of base stations economically based on Integrated Access and Backhaul (IAB) relays and repeaters. However, to retain the channel capacity, IAB needs to be implemented using full-duplex schemes that suffer from a strong Transmitter (TX) to RX SI. This SI leakage can significantly impact the receiver sensitivity and increase the baseband/ADC dynamic range requirements. Canceling SI at mm-wave applications is particularly challenging given the high frequency of operation, wide bandwidth, and antenna (ANT) impedance sensitivity to the surroundings. Proposed mm-wave RX with a shared ANT interface based on a circulator with active SI cancelers provide ~53 dB SIC over 400 MHz and ~40 dB SIC over 400 MHz in mm-wave domain to meet the link budget requirements. Proposed architecture achieves SIC by (i) introducing a shared ANT interface based on a hybrid-coupler and a non-reciprocal delay line that provides wideband SIC and additionally creates a SI replica (ii) subsequent active cancellation using SI replica processed with variable gain amplifiers and phase shifters. This system also accommodates SI channel variations due to surroundings. Proposed 26-GHz circulator RX has >100x better SIC at high TX power (>10dBm) levels in comparison to the state-of-the-art and it consumes ~111 mW power. The system is implemented in 45nm SOI CMOS and has an active area of $4.54\, mm^{2}$ . Stand-alone RX NF is ~5.8 dB and TX to ANT insertion loss (IL) is ~3.1 dB. Over-the-air measurements with modulated TX (128 QAM 2.1 Gb/s) and RX (128 QAM 4.2 Gb/s) signals show an EVM of 3.3%.
Strategic Synthesis to Disperse Zeolite NaY in Lead Tree Wood

The goal of this work is to synthesize zeolite NaY inside Lead tree wood. The wood is mixed with zeolite seed gel before mixing with feed gel and subsequent hydrothermal treatment. In the first trial, the dried and untreated Lead tree wood is mixed with the gel of zeolite NaY before the hydrothermal process. Only zeolite NaP is produced. Then, sonication is applied to the wood and zeolite gel mixture before the hydrothermal process. The product is mixed with the phase of NaP and NaY. In the next attempt, the wood is treated with acid reflux before mixing with the zeolite seed gel. NaY is successfully produced inside the wood. When sonication is also applied, the amount of NaY is increased. The presence of zeolites in the wood are confirmed by X-ray diffraction, scanning electron microscopy, nitrogen adsorption, and thermogravimetric analysis. Moreover, the composites are tested for the adsorption of nickel (II) ions from aqueous solutions. The novel Lead tree wood-zeolite NaY composite has the potential as an adsorbent which could be separated easily from the liquid media.
An approach to simulate the motion of 2- and 3-dimensional fuel particles in combustion chambers

The objective of the present work is to identify and implement a numerical method that can deal with the motion of a packed bed of fuel particles in combustion chambers such as a grate furnace and a rotary kiln. As a result of an extensive review of the various numerical methods applied in the areas of granular matter and molecular dynamics a time driven approach was found to be suited to the numerical simulation of particle motion in combustion chambers. Furthermore, this method can also be employed to deal with moving boundaries which are required for the present application e.g. travelling grate. The method works in a Lagrangian frame of reference which uses the position and orientation of particles as independent variables. These are obtained by time integration of the three-dimensional dynamics equations, derived from the classical Newtonian approach for each particle. This includes keeping track of all the forces and momentums acting on each particle at every time step. Visco-elastic contact forces include normal and tangential components with visco-elastic models for energy dissipation and friction. The particle shapes are approximated by spheres and ellipsoids, whereby a varying size and ratio of the semi-axis accounts for the variety of particle geometries in a combustion chamber. For these shapes, the overlap of particles during contact is expressed by an polynomial of 4 t h order for two-dimensional case, and an polynomial of 6 t h order for three-dimensional case. A new algorithm to detect the two-dimensional elliptical particles contact sufficiently accurate was developed. It is based on a sequence of coordinate transformations and has proved its reliability in numerous applications. Finally, the method was applied to simulate the motion of spherical and elliptical particles in a rectangular enclosure, on a travelling grate and in a rotary kiln.
A Novel Adaptive Sliding Mode Controller for a 2-DOF Elastic Robotic Arm

Collaborative robots (or cobots) are robots that are capable of safely operating in a shared environment or interacting with humans. In recent years, cobots have become increasingly common. Compliant actuators are critical in the design of cobots. In real applications, this type of actuation system may be able to reduce the amount of damage caused by an unanticipated collision. As a result, elastic joints are expected to outperform stiff joints in complex situations. In this work, the control of a 2-DOF robot arm with elastic actuators is addressed by proposing a two-loop adaptive controller. For the outer control loop, an adaptive sliding mode controller (ASMC) is adopted to deal with uncertainties and disturbance on the load side of the robot arm. For the inner loops, model reference adaptive controllers (MRAC) are utilised to handle the uncertainties on the motor side of the robot arm. To show the effectiveness of the proposed controller, extensive simulation experiments and a comparison with the conventional sliding mode controller (SMC) are carried out. As a result, the ASMC has a 50.35% lower average RMS error than the SMC controller, and a shorter settling time (5% criterion) (0.44 s compared to 2.11 s).
Knowing What it is: Semantic-Enhanced Dual Attention Transformer

Attention has become an indispensable component of the models of various multimedia tasks like Image Captioning (IC) and Visual Question Answering (VQA). However, most existing attention modules are designed for capturing the spatial dependency, and are still insufficient in semantic understanding, e.g., the categories of objects and their attributes, which is also critical for image captioning. To compensate for this defect, we propose a novel attention module termed Channel-wise Attention Block (CAB) to model channel-wise dependency for both visual modality and linguistic modality, thereby improving semantic learning and multi-modal reasoning simultaneously. Specifically, CAB has two novel designs to tackle with the high overhead of channel-wise attention, which are the reduction-reconstruction block structure and the gating-based attention prediction. Based on CAB, we further propose a novel Semantic-enhanced Dual Attention Transformer (termed SDATR), which combines the merits of spatial and channel-wise attentions. To validate SDATR, we conduct extensive experiments on the MS COCO dataset and yield new state-of-the-art performance of 134.5 CIDEr score on COCO Karpathy test split and 136.0 CIDEr score on the official online testing server. To examine the generalization of SDATR, we also apply it to the task of visual question answering, where superior performance gains are also witnessed. The code and models are publicly available at https://github.com/xmu-xiaoma666/SDATR.
Strategy Practiced by Rolling Stock Maintenance: A Case Study Within the Urban Rail

This research aims to analyse, evaluate and rank the maintenance strategy practised by the train operating companies, specifically by the rolling stock maintenance team. A quantitative method was adopted for data collection. A total of five train operating companies were chosen to participate in a survey that has been carefully designed. The research first identified the maintenance strategy associated with the rolling stock maintenance through systematic literature reviews. Afterwards, six maintenance strategies adopted by the companies were identified. The type of maintenance strategies identified was used to structure the survey questionnaire. Judgemental sampling was utilised for sampling purposes. Finally, the data collected from the survey were analysed using an importance index to complete the ranking analysis. The research discovered that corrective and preventive maintenance strategies are the most commonly adopted among the five Malaysian train operating companies. This study also highlighted the factors that future studies should consider to establish predictive cost models for rolling stock maintenance.
Fertility-Household Credit Burden Nexus at the Present Stage

The article examines the relationship between fertility and household credit burden using data for 79 countries for the period from 1990 to 2019. The authors identify 9 patterns describing the mutual influence of fertility and household debt burden. The analysis of patterns shows that the presence of a significant positive impact of households’ mortgage debt burden on fertility in future periods may indicate both a direct causal relationship between the indicators and the adoption of conditional decisions on pregnancy planning prior to obtaining mortgage loans to improve housing conditions. The same is true for households’consumer credit burden, as well as for quantitative estimates of the impact of fertility growth on households’ debt burden in subsequent periods. The article shows that in developed and developing countries, the growth of the total fertility rate is positively associated with the subsequent dynamics of mortgage and consumer loans in relation to GDP. In developed countries, the growth of mortgage and consumer loans is positively associated with the subsequent fertility dynamics. In developing countries, an increase in mortgage loans is positively but insignificantly correlated with fertility in the following years, while an increase in consumer loans leads to an increase in fertility in the short term, and to its decrease in subsequent years. The results indicate that success in demographic policy aimed at increasing fertility will be accompanied by the growth of households’debt burden, and therefore in subsequent periods households will be forced to pay interest and repay the principal debt, which will reduce families’ ability to finance children’s education. In this regard, state programmes that provide free education and development of children should be conducted in parallel with the implementation of demographic policy aimed at increasing fertility.
Sensing applications of photonic integrated circuits: ultra-compact optical transducers and interrogators

Recently observed dynamic development of photonic integrated circuits (PICs) technology enabled significant broadening of potential application area, initially focused on high speed optical communication. One of the prospective and emerging fields is optical sensing, where photonic chips can play twofold role of an optical interrogator and an optical transducer itself. In this paper we discuss the possibilities and perspectives of deploying PIC-based solutions for both these applications.
DYNAMIC CHARACTERIZATION OF MICRORESONATORS BY STROBOSCOPIC OPTICALMICROSCOPY

Optical techniques are well suited for the dynamic characterization of microresonators because they are able to provide a direct, spatially resolved and quantitative measurement of the motion with minimum disturbance of the device mechanical behaviour [1]. This paper reviews our works on optical stroboscopic microscopy combined with full-field image processing for in-plane vibration mode, resonant frequencies and quality factor measurements of microresonators. Application of this technique to nanoresonators is also discussed. An optical stroboscopic microscope is a microscope equipped with a monochromatic or white light source that can be pulsed in intensity with a high repetition rate. To perform dynamic measurements, the resonator is typically driven by a sinusoidal excitation signal and enlightened with light pulses having a repetition rate fp slightly different from f/n (n≥1) where f is the vibration frequency. For light pulse widths δT much shorter than the vibration period T, the apparent motion is a slowed down version of the real motion with a frequency equal to |fp-f/n|. This apparent motion is captured by a camera and image processing algorithms with subpixel resolution based on brightness conservation are applied to extract the displacement field and/or the mean displacement in X and Y directions within a region of interest. In the special case where fp=f and the light pulse delay t0 is chosen equal to ±T/4 (vibration extrema), the measured displacement field gives directly the vibration mode shape. For quality factor measurements [2] or non-linear vibration characterization [3], the mean displacement field is recorded as function of frequency by scanning simultaneously the light pulse and the device vibration frequencies. Then the vibration amplitude and phase can be extracted by amplitude and phase demodulation of the resulting signal (Fig.1). This can be performed in flight at each frequency by combining displacement values for 3 or more known light pulse delays [4] or by a final FFT demodulation [2,3]. The former technique has a better resolution but is very sensitive to noise while the later one allows an efficient noise filtering in
Regionalization with Self-Organizing Maps for Sharing Higher Resolution Protected Health Information

This article addresses the challenge of sharing finer scale protected health information (PHI) while maintaining patient privacy by using regionalization to create higher resolution Health Insurance Portability and Accountability Act (HIPAA)-compliant geographical aggregations. We compare four regionalization approaches in terms of their fitness for analysis and display: max-p-regions, regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP), and self-organizing map (SOM) variants of each. Each method is used to create a configuration of regions that aligns with census boundaries, optimizes intraunit homogeneity, and maximizes the number of spatial units while meeting the minimum population threshold required for sharing PHI under HIPAA guidelines. The relative utility of each configuration was assessed with measures of model fit, compactness, homogeneity, and resolution. Adding the SOM procedure to max-p-regions resulted in statistically significant improvements for nearly all assessment measures, whereas the addition of SOM to REDCAP primarily degraded these measures. These differences can be attributed to the different impacts of SOM on top-down and bottom-up regionalization procedures. Overall, we recommend REDCAP, which outperformed on most measures. The SOM variant of max-p-regions (MSOM) could also be recommended, because it provided the highest resolution while maintaining suitable performance on all other measures.
The mediating role of emotion regulation in the emotional complexity and subjective well-being relationship

BACKGROUND Emotional complexity involves greater emotional awareness and understanding and associates strongly with adaptive emotion regulation. Similarly, regulation of emotion is vital for achieving, restoring, and sustaining subjective well-being. The present study, therefore, tested the mediatory role of emotion regulatory processes in the relationship between emotional complexity and subjective well-being. PARTICIPANTS AND PROCEDURE A total of 285 participants completed self-report measures of emotional complexity, emotion regulation, positive/negative affect, and life satisfaction, and the data were analyzed using correlations and structural equation modelling. RESULTS Findings indicated that individuals high in emotional complexity experience greater subjective well-being. Moreover, the results revealed that reappraisal mediated the relationship of emotion differentiation with positive affect and life satisfaction whereas suppression mediated the relationship between the range of emotions and life satisfaction. CONCLUSIONS These findings underscore the significance of emotion regulation in mediating the relationship between emotional complexity and subjective well-being.
Analisis Bentuk Lahan Pangandaran Berbasis Citra Satelit Landsat 08 OLI

Pembuatan data mengenai bentang lahan di kecamatan Pangandaran perlu dilakukan demi kebermanfaatan lahan daerah Pangandaran, masyarakat yang memanfaatkan lahan di kecamatan Pangandaran rata-rata bermata pencaharian perkebunan di dataran tingginya sehingga peta geomorfologi perlu dibuat. Penelitian yang kami lakukan menggunakan metode interpretasi visual yang dilihat melalui citra pangandaran melalui aplikasi ENVI yang sudah di komposit dengan band RGB 546, komposit band tersebut menghasilkan campuran warna yang menonjolkan bentang lahan dan batuan tertentu. Setelah melakukan interpretasi visual tahap selanjutnya melakukan analisis karakter wilayah secara langsung atau groundcheck yang dilaksanakan untuk mengetahui objek landscape langsung dilapangan. Pengecekan akurasi data yang ada di lapangan dan interpretasi citra yang sudah di analisis sebelumnya harus di cocokan kembali guna mengetahui bentang lahan geomorfologi di kecamatan pangandaran.
Planting Seeds of Knowledge: Sustainability of San Francisco Bay Area School Garden Programs

Historically, Untied States school garden programs have existed to augment classroom education. Previously conducted studies have proven the efficacy of using school garden programs as an educational tool, however these studies have not examined the sustainability of using garden programs long-term. To discover what factors, specifically focusing on program resources and program logistics, contribute to school garden program sustainability, I surveyed 60 schools and interviewed 5 schools located in the San Francisco Bay Area. I found that program resources, especially program support, have the largest impact on the sustainability of school garden programs as well as dictate the nature of program logistics. Therefore, efforts to increase school garden program sustainability should begin by improving program resources.