Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Perception of Care, Sense of Security, and Subjective Psychological Well-Being among Older Adults Living in Sheltered Housing vs. Independent Housing in Israel

Abstract While the home environment provides a crucial context for aging, considerable knowledge gaps remain regarding how perceptions of care and sense of security impact older people’s subjective psychological well-being. The current study aimed to assess the attitudes of older people during the COVID-19 pandemic in Israel and compared older people living in sheltered housing with those living in independent housing in the community. The participants included 235 respondents living in sheltered housing and 726 participants living in independent housing. Participants living in sheltered housing were more likely to feel that they were being cared for than those living in independent housing in the community. Perception of care received partially mediated the effect of type of housing on the sense of financial security and health security. In addition, a sense of security (both financial and health) partially mediated the effect of perception of care received on the sense of meaning in life, life satisfaction, and optimism.
Multiple-Technique Approach for Improving a Performance Measurement and Management System: Action Research in a Mining Company

Abstract Many enterprises encounter difficulty in managing strategic goals and performance measures because of a lack of a systemic and objective procedure and method. Action research was conducted through a case study approach at a mining company to investigate this problem regarding performance measurement and management (PMM) and to identify potential solutions for application. This research proposes a multiple-technique approach (including the Delphi method, analytic network process, system dynamics simulation, dashboard visualization, and radio frequency identification tracking techniques) and a creative implementation framework for overcoming the shortcomings within a case company and those in the relevant performance measurement literature. This study demonstrates a step-by-step approach for establishing a PMM system using a real case example. Furthermore, for sustaining the effectiveness and efficiency of the PMM system, key performance indicators (KPIs) were continually monitored against a changing operational environment through design, measurement, analysis, and improvement processes to address problem areas occurring in the production and maintenance departments of a mining company. The benefits of the PMM system in practice are demonstrated by the outcomes of the mining company, with noticeable improvements observed in many KPIs.
Thermal wake models for forced air cooling of electronic components

Analytical solutions are presented for the temperature field which arises from the application of a source of heat on an adiabatic plate or board when the fluid is represented as a uniform flow with an effective turbulent diffusivity, the so-called UFED flow model. Solutions are summarized for a point source, a one-dimensional strip source, and a rectangular source of heat. The ability to superpose the individual kernel solutions to obtain the temperature field due to multiple sources is demonstrated. The point source solution reveals that the N/sup -1/ law commonly observed for the centerline thermal wake decay for three-dimensional arrays is predicted by the point source solution for the UFED model. The thermal wake approaches the point source behavior downstream from the source, suggesting a new scaling for the far thermal wake that successfully collapses the thermal wake for several sizes of components and provides a fundamental basis for experimental observations previously made for arrays of three-dimensional components. Preliminary experimental results using a thermochromic liquid crystal thermal mapping technique are presented. <<ETX>>
Impact of psychological stress on the outcomes of assisted reproduction in Tunisian infertile women

Introduction childlessness is an emotionally difficult experience for infertile couples. Undergoing assisted reproductive treatments (ART) could generate further stress in these patients. Studies investigating the impact of anxiety on ART outcomes have shown controversial results. Moreover, there are no publications focusing on anxiety symptomsin infertile Tunisian couples. Methods we conducted a prospective study including 79 infertile women undergoing in vitro fertilization at the Reproductive Medicine Unit of the Farhat Hached Hospital (Tunisia). Participants were asked to answer to the Beck anxiety inventory (BAI) on the day of oocyte retrieval. Accordingly, they were classified into the 3 groups: group A: very low anxiety (n= 36; BAI<21), group B: moderate anxiety (n= 24; 22≤BAI≤35) and group C: severe anxiety (n=19; BAI≥36). For each patient, two blood samples were collected to assess free cortisol level on the day of oocyte retrieval and on the day of embryo transfer. Results results showed that women with primary infertility were significantly more stressed than those with secondary infertility (p= 0.011). Cortisol level was significantly higher on the day of embryo transfer than on the day of oocyte pick-up (p<0.0001). A lower implantation rate was found in severely anxious patients compared with moderately anxious women (p= 0.03) and those having low levels of anxiety (p= 0.001) and was negatively correlated to BAI score (r= -0.65; p= 0.001). Both clinical pregnancy and livebirth rates were similar among the three groups. Conclusion the day of embryo transfer is the most stressful timepoint and psychological counseling is crucial to enhance implantation rate. Hence implantation took place, no effect of stress on pregnancy and live birth was found.
Deep reinforcement learning-based rehabilitation robot trajectory planning with optimized reward functions

Deep reinforcement learning (DRL) provides a new solution for rehabilitation robot trajectory planning in the unstructured working environment, which can bring great convenience to patients. Previous researches mainly focused on optimization strategies but ignored the construction of reward functions, which leads to low efficiency. Different from traditional sparse reward function, this paper proposes two dense reward functions. First, azimuth reward function mainly provides a global guidance and reasonable constraints in the exploration. To further improve the efficiency, a process-oriented aspiration reward function is proposed, it is capable of accelerating the exploration process and avoid locally optimal solution. Experiments show that the proposed reward functions are able to accelerate the convergence rate by 38.4% on average with the mainstream DRL methods. The mean of convergence also increases by 9.5%, and the percentage of standard deviation decreases by 21.2%–23.3%. Results show that the proposed reward functions can significantly improve learning efficiency of DRL methods, and then provide practical possibility for automatic trajectory planning of rehabilitation robot.
Experimental investigation in induction motors using signal processing techniques for early detection of inter-turn short circuit faults

ABSTRACT This paper presents a method based on advanced signal processing techniques for the detection of inte-rturn short circuit faults in an induction machine. The techniques presented can be classified into power spectral density estimation techniques and time-frequency techniques. The theoretical principles of these methods are presented and their performances are compared from the stator current analysis (MCSA). This article proposes a comparative study of these signal processing techniques. One is based on the power spectral density estimation techniques, such as Periodogram and Welch periodogram. The second method is based on the Hilbert transform (HT) to extract the envelope for the stator current. Then, this signal is processed via discrete wavelet transform (DWT) for determining the faulty components in the spectrum of the stator current envelope and identifying the eigenvalues of energy levels (HDWT). This technique is powerful for the non stationary signal processing. Moreover, the combination HT-DWT has assured its ability to evaluate the severity in detecting faults of the shorted turns and it is effective for nonstationary and stationary signals to extract useful information for the detection of ITSC fault. The techniques have usd experimentally data issued from the induction motor.
Immobilization and applications of esterases

Abstract Esterase belongs to hydrolase class of enzyme which catalyses the breakdown and creation of the ester bond. Due to its properties like regio-selectivity, stereo-specificity and stability in organic solvents, esterase is widely used in industrial processes. Esterases have applications in food industry, paper industry, notably in degradation of plastics and pesticides and for the synthesis of optically pure compounds. One of the toughest tasks is upholding the structural stability of enzyme for the duration of any biochemical reaction. Immobilization provides solution for this problem. Immobilization is the restraining of enzyme to a support. With the recent advances in technology, the use of new approach like nanoparticles, magnetic nanoparticles and cross-linked enzyme aggregates (CLEAs) is preferred by researchers. Nanoparticles provide better stability, multi-functionality and higher surface area for immobilization. Current review comprises of various methods used in immobilization of esterase and applications of esterase.
Millimeter-Wave Low Side- and Back-Lobe SIW Filtenna Array Fed by Novel Filtering Power Divider Using Hybrid TE101/TE301 Mode SIW Cavities

In this article, a novel and simple design approach of millimeter-wave (mm-wave) low side- and back-lobe substrate integrated waveguide (SIW) filtenna array is investigated by using predefined filtering power divider (FPD). The FPD consists of two coupled SIW cavities operating at TE<sub>101</sub> and TE<sub>301</sub> modes, respectively. The TE<sub>301</sub> mode divides the energy from <italic>Cavity</italic> 1 into three parts equally and three outputs are loaded to <italic>Cavity</italic> 2 for power distribution, making the FPD design simplified. Based on this, the predefined power splitting ratio (1:1:1 and 1:3:1) of the FPDs can be obtained easily by controlling the output external quality factor (<inline-formula> <tex-math notation="LaTeX">$Q_{e}$ </tex-math></inline-formula>). Accordingly, the side and back lobes of the filtenna array are suppressed by using the proposed FPD with predefined power splitting ratio of 1:3:1. To verify the proposed approach, a <inline-formula> <tex-math notation="LaTeX">$3\times3$ </tex-math></inline-formula> filtenna array prototype centered at 27.2 GHz is designed, fabricated and measured. The measured results show an impedance bandwidth (<inline-formula> <tex-math notation="LaTeX">$\vert S_{11}\vert < -10$ </tex-math></inline-formula> dB) of 1.8 %. The filtenna array performs good gain-passband selectivity with an in-band peak gain of 11.1 dBi, and the side lobe is suppressed more than 20 dB while the front-to-back ratio is over 30 dB. Good agreement is achieved between simulated and measured results.
Amplification of earthquake ground motion by steep topographic irregularities

The problem of amplification of seismic waves by surface topographic irregularities is addressed through analytical and numerical investigations. First, a closed‐form expression for estimating the fundamental vibration frequency of homogeneous triangular mountains is obtained, using Rayleigh's method. Subsequently, numerical modelling based on the spectral element approximation is used to study the 3D seismic response of several real steep topographic irregularities excited by vertically propagating plane S‐waves. A topographic amplification factor is obtained for each case, by a suitable average of the ratio of acceleration response spectra of output vs input motion. The 3D amplification factors are then compared with those derived by 2D analyses as well as with the topographic factors recommended in Eurocode 8 for seismic design. Copyright © 2002 John Wiley & Sons, Ltd.
6G Mobile Communications for Multi-Robot Smart Factory

Private or special-purpose wireless networks present a new technological trend for future mobile communications, while one attractive application scenario is the wireless communication in a smart factory. In addition to wireless technologies, this paper pays special attention to treat a smart factory as the integration of collaborative multi-robot systems for production robots and transportation robots. Multiple aspects of collaborative multi-robot systems enabled by wireless networking have been investigated, dynamic multi-robot task assignment for collaborative production robots and subsequent transportation robots, social learning to enhance precision and robustness of collaborative production robots, and more efficient operation of collaborative transportation robots. Consequently, the technical requirements of 6G mobile communication can be logically highlighted.
Community Stakeholders’ Perspectives of Craft Breweries in Their Communities in Oklahoma

Abstract Craft breweries are a growing industry in the United States, including Oklahoma. Craft breweries have unique characteristics that affect their brands. One of those characteristics is craft breweries’ tie to their local communities through place branding and serving as a third space (i.e., not home or work) for community members. Interviews were conducted with community stakeholders in Oklahoma to understand how the stakeholders perceived the brands of breweries in their communities. Results of the interviews indicated that craft breweries were positively received by communities. Participants believed the breweries were valuable to the local community by contributing to existing culture and fostering connections between community members. The participants also believed brewery personnel were positively engaged in their communities and other businesses, as well as engaging in socially conscious actions. The participants indicated that craft breweries enhanced credibility and tourism of communities. Community leaders should be aware of the potential contribution craft breweries for the cities. This includes aiding tourism, improving attractiveness of the city for those looking to relocate, and fostering interactions between community members. Community leaders and craft brewery owners should be aware of the added value of using place branding via local community ties. In other words, the brewery benefits from tying itself to the community while also adding value to the community. Future research should assess if these results apply to craft breweries in other states. Future research should also address consumers’ perspectives of how breweries use community ties and how craft breweries influence tourism.
A scaleable model for STI mechanical stress effect on layout dependence of MOS electrical characteristics

This paper demonstrates a new compact and scaleable model of mechanical stress effects on MOS electrical performance, induced by shallow trench isolation (STI). This model has included the influence of STI stress not only on the mobility and saturation velocity, but also on the threshold voltage and other important second-order effects. Thus it could simulate the layout dependence of MOS performance with good accuracy and efficiency. We have verified this model with various device dimensions and layout styles of our advanced MOS technologies. And it shows the importance of this new model for circuit design in advanced CMOS generations.
Occupant Satisfaction in Post-Refurbishment of Historic Buildings

This paper evaluates occupants' subjective response to controlled architectural interventions in listed historic buildings, as part of a comprehensive plan to restore, rehabilitate and re-use the edifice. The overall strategy was to monitor a series of historic buildings, which typically represent the same period, namely 16th century architecture, depicting the Baroque period in Malta's World Heritage Capital, Valletta. Such buildings often had discrete traditional physical features, such as ventilation stacks through their thick massive walls and an open courtyard, generating the typical introvert planning. These assisted the acclimatisation of their indoor spaces. Interventions were limited to exposing their thermal mass and re-activating the original features. The buildings were partially assessed for their thermal performance through a post-occupancy survey (POS), based on subjective evidence. Questionnaires and structured interviews were conducted with office staff, two years after entering the commissioned refurbished buildings. Results indicated that the revival of modest passive design solutions was effective in attaining comfort levels today, thus reducing the dependence on energy guzzling modern environmental control systems. This suggests that such feature- revealing interventions can be easily adapted to other similar historic buildings offered for refurbishment, thus achieving energy efficiency all round, also reducing their overall carbon footprint.
Spidroin-Based Biomaterials in Tissue Engineering: General Approaches and Potential Stem Cell Therapies

Spider silks are increasingly gaining interest for potential use as biomaterials in tissue engineering and biomedical applications. Owing to their facile and versatile processability in native and regenerated forms, they can be easily tuned via chemical synthesis or recombinant technologies to address specific issues required for applications. In the past few decades, native spider silk and recombinant silk materials have been explored for a wide range of applications due to their superior strength, toughness, and elasticity as well as biocompatibility, biodegradation, and nonimmunogenicity. Herein, we present an overview of the recent advances in spider silk protein that fabricate biomaterials for tissue engineering and regenerative medicine. Beginning with a brief description of biological and mechanical properties of spidroin-based materials and the cellular regulatory mechanism, this review summarizes various types of spidroin-based biomaterials from genetically engineered spider silks and their prospects for specific biomedical applications (e.g., lung tissue engineering, vascularization, bone and cartilage regeneration, and peripheral nerve repair), and finally, we prospected the development direction and manufacturing technology of building more refined and customized spidroin-based protein scaffolds.
The SPICE concept - An approach to providing geometric and other ancillary information needed for interpretation of data returned from space science instruments

The Navigation Ancillary Information Facility (NAIF), acting under the direction of NASA's Office of Space Science and Applications, and with substantial participation of the planetary science community, is designing and implementing an ancillary data system - called SPICE - to assist scientists in planning and interpreting scientific observations taken from spaceborne instruments. The principal objective of the implemented SPICE system is that it will hold the essential geometric and related ancillary information needed to recover the full value of science instrument data, and that it will facilitate correlations of individual instrument datasets with data obtained from other instruments on the same or other spacecraft.
Tchebyscheff time-delay dielectric band-pass filter using Q control method of normal modes

A Chebyshev time-delay three-pole bandpass filter has been developed in the 900-MHz band by using the Q control method of normal modes. The group delay ripple of the filter is 50 ns within the 300-kHz bandwidth. The size of the equipment is 482.0-mm wide*300.0-mm deep*132.6-mm high, and it can be put into a 19-in standard rack. This filter is expected to be applicable for channel filters used in digital cellular base stations. <<ETX>>
Workplace Incivility and Turnover Intention in Organizations: A Meta-Analytic Review

Incivility has been identified as a prevalent and crucial issue in workplaces and one that may be associated with detrimental effects on employees and organizational outcomes, such as turnover intention. Many studies have been published regarding the effects of incivility, but there is a lack of integrative reviews and meta-analyses. The aim of the present study is to conduct an early meta-analysis of the relationship between employees’ perceptions of workplace incivility and their turnover intentions. Six databases, including ISI Web of Science, PsychInfo, Scopus, Emerald, Hospitality & Tourism Complete, and Soc Index, were searched to identify empirical articles for this meta-analytical paper. The results of statistical meta-analyses and meta-regression suggest that there is a positive relationship between perceived incivility and turnover intentions in employees and that relationship is consistent across different sources of workplace incivility. However, we did observe a possible interaction effect of “supervisor” and “coworker incivility”. The results also suggest that the relationship between workplace incivility and turnover intention is stronger in the academic sector than in other industries and stronger in the United States than in other countries.
Regulation of axon pruning of mossy fiber projection in hippocampus by CRMP2 and CRMP4

Axon pruning facilitates the removal of ectopic and misguided axons and plays an important role in neural circuit formation during brain development. Sema3F and its receptor neuropilin‐2 (Nrp2) have been shown to be involved in the stereotyped pruning of the infrapyramidal bundle (IPB) of mossy fibers of the dentate gyrus (DG) in the developing hippocampus.
Exchange Rate Forecasting with Advanced Machine Learning Methods

Historically, exchange rate forecasting models have exhibited poor out-of-sample performances and were inferior to the random walk model. Monthly panel data from 1973 to 2014 for ten currency pairs of OECD countries are used to make out-of sample forecasts with artificial neural networks and XGBoost models. Most approaches show significant and substantial predictive power in directional forecasts. Moreover, the evidence suggests that information regarding prediction timing is a key component in the forecasting performance.
A Coupled Electromechanical Model of an Imperfect Piezoelectric Vibrating Cylinder Gyroscope

Coupled electromechanical equations of motion, describing the dynamics of a vibrating cylinder gyroscope, are derived using Hamilton's principle and the Rayleigh-Ritz method. The vibrating cylinder gyroscope comprises a thin walled steel cylinder which is closed at one end with discrete piezoceramic actuation and sensing elements bonded close to the open end. The operation of the gyroscope and the effect of imperfections are briefly described. The model allows direct comparison with experimental measurements in the form of electrical frequency response functions. The effects of ceramic location errors and mass imperfections were investigated. Comparisons with experimental measurements showed that the model could be used to predict the mass modifications required to reduce the effect of these typical imperfections in practical devices.