Miracle-dz/UniFAR-FTUs huggingface dataset:
A PZT-based smart aggregate for compressive seismic stress monitoring

A PZT-based smart aggregate (SA) for compressive seismic stress monitoring is proposed in this paper. The proposed SA consists of a piece of PZT (lead zirconate titanate) patch sandwiched between a pair of marble cubes through epoxy. A soft PZT is selected, rendering the SA as a potential actuator in active sensing. Finite element analysis (FEA) was conducted to investigate the stress distribution in the SA under compression, which is used for calculating its sensitivity to compressive stresses. With a commercially available charge amplifier, the frequency response of both the amplitude and the phase shift of the sensing system are investigated by applying the frequency sweep loading scheme on the proposed SA. The frequency ranges from 0.01 to 10 Hz, corresponding to the range of seismic frequency response of most building structures. The alternating load for evaluating SA sensitivity was applied by the servo-hydraulic machine. The lower limit of frequency response is determined to be 0.5 Hz. The depolarization process of the piezoelectric coefficient of the selected PZT material was investigated to decide the load-holding time in calibration tests. The degradation of the piezoelectric coefficient with a series of compressive pre-stresses from 4.8 to 24 MPa was evaluated, and the experimental results showed that the influence from the considered range of pre-stresses is negligible. Using a commercially available charge amplifier, the proposed SA-based sensing system can monitor the seismic stress of low- and middle-rise building structures under moderate earthquakes.
فاعلية بيئة تعلم تشاركية متعددة الوسائط قائمة على التلعيب في تنمية التحصيل والدافعية لدى طالبات جامعة طيبة = The Effectiveness of Multimedia Collaborative Learning Environment Based on Gamification in the Development of Achievement and Motivation of Students of Taibah University

:صخولما ةساردها ثفدّ ىهإ ءاطلحسا نٕطدحها ةًَٕج في بٕعوحها على ةًئاك طئاسٓها ةددعحي ةٕكراشج ىوعج ةئٕة ةٕوعاف ةتٕظ ةعياج تاتهاظ ىده ةٕعفادهاو ، حُساو جَْلما مدخ ِتش يتٔرجحها ثٍٓكجو ، ةساردها ةَٕع ٌي ( 41 ( ؛ةتهاظ ) 14 ) ،ةعةاضها ةعًٓجلما في ةتهاظ و ( 27 ةٕتٔرجحها ةعًٓجلما في ةتهاظ ) ، و أُ َّدع راتحخاو ،ىوعحها ةئٕة مادخحسا نٕهد ىهإ ةساردها ثوضٓج دكو . ةٕعفادها سإليو ،يوٕطدج دٓجو ها في ةٕئاطخإ ةهلاد تاذ قورف ٌٕة ،يدعتها سإل ةًَٕج في ةعةاضها ةعًٓجلماو ةٕتٔرجحها ةعًٓجلما تاتهاظ تاجرد يعسٓحي نٕطدحها ةٕتٔرجحها ةعًٓجلما حهاطه ، حهاطه نٕطدحها ةًَٕج في ةٕتٔرجحها ةعًٓجلما تاتهاعه يدعتها قٕتعحهاو يوتلها قٕتعحها تاجرد يعسٓحي ٌٕةو دٓجو مدع ىهإو ،يدعتها قٕتعحها د تاذ قورف في ةٕئاطخإ ةهلا تاتهاظ تاجرد يعسٓحي ٌٕة يدعتها سإلها قٕتعحهاو يوتلها قٕتعحها تاجرد يعسٓحي ٌٕةو ،ةٕعفادها ةًَٕج في ةعةاضها ةعًٓجلماو ةٕتٔرجحها ةعًٓجلما . ةٕعفادها ةًَٕج في ةٕتٔرجحها ةعًٓجلما تاتهاعه يدعتها ة ةٕضٓحها ىهإ ةساردها ثطوخو سٔردحها ةئّٕ ءاضعأ بٔردح على ىوعحها ةئٕة مادخحسا ها ٌي ىْجدافحساو ،يهاعها ىٕوعحها تاررلي سٔردج في ُذّ نٕهد . مهذه ِّدعلما
Multimodal biometric user-identification system for network-based applications

The authors describe the design and development of a prototype of a multimodal biometric system for the automatic identification of an individual. Unlike in other proposed multimodal biometric systems, biometric features are acquired from the same image, using a low-cost scanner, at the same time. It makes the system suitable for home and for many network-based applications. After the pre-processing phase, the hand-geometry, finger and palm-print features invariant to hand translation and rotation on the scanner are extracted. Fusion at the matching-score level is obtained by means of the total similarity measure. In the decision module, three rules are used to establish identity. The system was tested on a database of 130 persons. The test performance, FAR=0% and FRR=0.2%, suggests that the system can be used in medium/high-security Internet environments.
Kinematic Evidence of Root-to-Shoot Signaling for the Coding of Support Thickness in Pea Plants

Simple Summary A growing body of evidence has reported that climbing plants show the unique ability of being able to locate a support in the environment and recognize some of its features in order to modulate their searching and attachment behavior accordingly. To date, the mechanism underlying the coding of a support’s thickness is yet to be uncovered. Here, we investigate the interaction between the above- (i.e., stem and tendrils) and below-ground (i.e., the root system) organs of pea plants (Pisum sativum L.) to gain information about a support and to modulate their behavior towards it. The results suggest that the coding of a support’s thickness is achieved via a functional equilibrium subtended by crosstalk between the grounded and the aerial components of the plant. Abstract Plants such as climbers characterized by stems or tendrils need to find a potential support (e.g., pole, stick, other plants or trees) to reach greater light exposure. Since the time when Darwin carried out research on climbing plants, several studies on plants’ searching and attachment behaviors have demonstrated their unique ability to process some features of a support to modulate their movements accordingly. Nevertheless, the strategies underlying this ability have yet to be uncovered. The present research tries to fill this gap by investigating how the interaction between above- (i.e., stems, tendrils, …) and below-ground (i.e., the root system) plant organs influences the kinematics of their approach-to-grasp movements. Using three-dimensional (3D) kinematic analysis, we characterized the movements of pea plants (Pisum sativum L.) as they leaned towards supports whose below- and above-ground parts were characterized by different thicknesses (i.e., thin below- thick above-ground, or the opposite). As a control condition, the plants were placed next to supports with the same thickness below and above ground (i.e., either entirely thin or thick). The results suggest that the information regarding below- and above-ground parts of a support appears to be integrated and modulates the reach-to-grasp behavior of the plant. Information about the support conveyed by the root system seems to be particularly important to achieve the end-goal of movement.
On Hilbert-Huang Transform Approach for Structural Health Monitoring

The Hilbert-Huang Transform (HHT) approach is used for signal processing to discover the possible damages existing in a structure. A program is written in Fortran and in Matlab, and then verified by two simple cases with known solutions. The HHT method is then utilized to analyze the actual benchmark data of UBC (University of British Columbia) for the purposes of structural health monitoring. The results demonstrate that HHT method has the capability of: (a) recovering the actual signals’ time-frequency feature; (b) detecting and locating the actual structural damages; (c) detecting the instant of the impact load or of the damage taking place in active structural health monitoring. The method of Empirical Mode Decomposition (EMD) is used to eliminate noise. Results show that EMD method is better than the Wavelet method for the de-noising purpose.
Formulation of regression equation on the basis of endurance time and fatigue indices in biceps brachii by using surface-EMG of 14-19 years aged trained male volleyball players

The key component of this study is to analyze the change in fatigue Indices during muscular exhaustion by applying this connection. Forty male volleyball players aged 14-19 years having no muscular injury participated in this study. Surface-EMG was done in biceps brachii of dominant hand in each player. Endurance time was recorded by holding 30 percent of MVC in each subject until breakpoint was attained. Fatigue Indices were computed from the raw EMG signals using FFT. Pearson’s correlation and regression with the best fitting curve analysis were performed to establish the relationships between the variables. Fatigue indices were shown to have a positive correlation with endurance time (p<0.05). Analysis has been done and best-fitted curves indicated the best feasible relationship. Endurance time is a direct indicator of muscle fatigue i.e. increased endurance time suggests that muscle is less vulnerable to fatigue and vice versa. The relationship between endurance time and fatigue indices (MNF and MDF) can be mathematically stated as y=f(x). ‘Power’ & ‘Growth’ associations respectively and were found to be best-fitted according to the regression analysis. According to those correlations, the relationship between both the fatigue indices (MNF and MDF) were developed.
Adaptation of Brunel Lifestyle Physical Activity Questionnaire into Turkish; The Validity and Reliability Study

Background: This study aims to investigate the reliability and validity of the Turkish version of the Brunel Lifestyle Physical Activity Questionnaire (BLPAQ) and examine the cultural adaptation of the questionnaire.Methods: After the translation process, the test-retest reliability of the Turkish version of the questionnaire was analyzed with 24 (31.20±5.0 years old; 50% female) participants (2nd test was done 15 days after the first test). In addition, the validity of the scale was evaluated by the correlation between the BLPAQ and the International Physical Activity Questionnaire Short Form (IPAQ-SF) completed by 113 (30.59±5.40 years old; 63.7% Female) participants.Results: A powerful positive and significant correlation was found between the correlation coefficients of the BLPAQ's PPA and UPA subscales between both tests (respectively r=0.96, p<0.01; r=0.87, p<0.01). The Cronbach's alpha coefficient was found to be 0.77 (quite reliable). The PPA subscale of the BLPAQ was positive with the IPAQ-SF's high-intensity physical activity subscale (r=0.47 p=0.00) and total IPAQ-SF excluding sitting (r=0.50 p=0.00) medium in the direction and low positive correlation with the walking activity subscale (r=0.25 p=0.024). No significant correlation was found between the UPA subdivision of BLPAQ and IPAQ-SF (p>0.05). Conclusion: BLPAQ, adapted into Turkish, is a valid and reliable tool that can be used to determine lifestyle according to physical activity level.
Dataset of Coronavirus Content From Instagram With an Exploratory Analysis

The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professionals’ engagement in social media. Online Social Networks are playing an important role in news propagation as well as keeping people in contact. At the same time, social media is both a blessing and a curse as the coronavirus infodemic has become a major concern, and is already a topic that needs special attention and further research. In this study, we publish a multilingual coronavirus (COVID-19) Instagram dataset that we have continuously collected during the first wave of the pandemic from 5 January 2020 to 30 May 2020. The dataset contains 25.7K posts, 829K comments, and 3.2M likes in various subjects from different publishers such as ‘public accounts’, ‘fake accounts (bots)’, ‘newsagencies’, ‘influencers’, ‘celebrities’, ‘business pages’, etc. In addition to the dataset, this paper provides an analysis of the behaviour of the publishers. We study the behavioural aspects of the users in terms of their engagement, use of hashtags, activities, reactions as well as a full analysis of the published content related to the COVID-19. We believe this contribution helps the research community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media.
Petroleum coke gasification: A review

The production of petroleum coke (petcoke) in the refineries is progressively peaking up because of the trend of processing heavy crudes and in turn, a renewed interest in delayed coking process. Therefore, an efficient, economical, and environmentally safe utilisation of petcoke has become imperative in the current petroleum refining scenario. Gasification of petcoke has emerged as one of the attractive options and is gaining increasing attention to convert the petcoke to value-added products. The process offers the refiners a variety of product slates mainly via synthesis gas route. The products include steam, hydrogen, electricity, chemicals (viz. methanol, ammonia, etc.), liquid fuels via Fischer–Tropsch (F-T) synthesis and so on. Petcoke has been identified as a potential feedstock for about 15% of the total planned gasification capacity worldwide. In the present communication, the published literature pertaining to petcoke gasification has been extensively analysed and a state-of-the-art review has been written that includes: (1) the importance of petcoke gasification in the present petroleum refining scenario; (2) petcoke gasification reaction mechanism, kinetics, and typical product profile; (3) parametric sensitivity of the operating variables such as temperature and pressure; (4) various gasifiers for petcoke gasification; (5) modelling efforts on different types of gasifiers and (6) future prospects of petcoke gasification. An attempt has been made to get the afore-mentioned aspects together in a thematic framework so that the information is available at a glance and is expected to be useful as a single point source to the researchers and practicing refiners.
Assembly and functioning of endophytic bacterial communities in arcto-alpine pioneer plant Oxyria digyna

Given, Cindy Jittrapan Assembly and functioning of endophytic bacterial communities in arcto-alpine pioneer plant Oxyria digyna Jyväskylä: University of Jyväskylä, 2019, 62 p. (JYU Dissertations ISSN 2489-9003; 62) ISBN 978-951-39-7690-3 (PDF) Yhteenveto: Arktis-alpiinisen pioneerikasvin Oxyria digyna endofyyttisten bakteeriyhteisöjen muodostuminen ja toiminta Diss. Plant microbiomes consist of diverse communities of microorganisms, among which bacteria are highly abundant. The microbiomes are crucial for plants as they rely on their microbial associates for many essential functions. The goal of this thesis was to study the functional diversity and assembly rules of endophytic bacterial communities in different plant tissues of the arcto-alpine pioneer plant species, Oxyria digyna. I used high-throughput sequencing and bacterial isolations to characterize the endophytic communities in the leaves and roots of native O. digyna plants (wild plants) and micropropagated aseptic plants (bait plants) in the field. Wild plants and tissue-propagated bait plants were shown to harbor endophytic communities with taxonomically similar structures, but with divergent functional profiles. Several plant-associated microbial traits, including nitrogen fixation and phosphate solubilization, correlated with the plant type, as did also the temperature optima of the endophytic isolates. To study endophyte community assembly, I inoculated bait plants via either leaves or roots with bacterial consortia specific for leaves or roots of O. digyna. The assembly of endophytic communities in different tissues was primarily limited by the adaptation to plant niche in the leaves, and colonization ability and competitiveness in the roots. Plant inoculation with bacterial consortia originating from different tissues (leaves or roots) restructured the innate endophytic communities, and had divergent impact on the plant phenotype. The observed differences in the plant phenotype and fitness could be explained by direct impact of inoculated bacteria on the plant metabolism (plant-microbe interaction) or indirect impact via altered functioning of the innate endophyte community (microbe-microbe interactions). Taken together, the findings in this thesis demonstrate that the endophytic bacterial communities are tissue-specific and tightly associated with their host plant, but at the same time, are highly dynamic, rapidly adapting to changes in environmental conditions.
Stability of a decoupled tracking filter with pseudomeasurements in line-of-sight Cartesian co-ordinate system

Since a decoupled tracking filter in the LOS Cartesian co-ordinate system (LCCS) is an approximation, its stability cannot be guaranteed. The paper presents a stochastic stability of the decoupled tracking filters in LCCS. A predicted LCCS is introduced to reduce the filter bias. Conditions of approximations to obtain a decoupled form are investigated. Using a Lyapunov-like condition, a sufficient condition is described for the decoupled tracking filter in LCCS to operate in a stable region.
Preliminary evaluation of the volumetric air heating receiver

This paper reports the results of an preliminary evaluation of the Volumetric Air Heating Receiver (VAHR). The VAHR is an innovative air heating receiver design for application with point focus central receiver power generation systems or industrial process heat systems. The VAHR concept consists of an array of fin-shaped pins arranged in concentric cylindrical rows around an inlet manifold. 3 refs.
A compact bandpass filter using interdigital and step‐impedance hairpin resonators

A four‐pole elliptic function bandpass filter is designed using miniaturized microstrip interdigital hairpin resonator and step‐impedance hairpin resonator. Miniaturization hairpin resonators are realized by using interdigital structure and step‐impedance structure having parallel coupled lines. The full‐wave simulator IE3D is used to design the compact hairpin resonator and to calculate the coupling coefficient of the basic coupling strictures. The response of the fabricated filters using Al2O3 (εr = 9.7, Q × f = 350000 GHz) and 0.6Sm(Co1/2Ti1/2)O3‐0.4CaTiO3 (εr = 37, Q × f = 43000 GHz) dielectric substrates are designed at a center frequency of 2 GHz. The compact size and the performance of this class of filter have been demonstrated. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1493–1495, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25231
Description and application of a distributed hydrological model based on soil–gravel structure in the Qinghai–Tibet Plateau

Abstract. The Qinghai–Tibet Plateau, known as the “Asian Water Tower”, has a thin soil layer with a thick gravel layer underneath. Its unique geological structure, combined with widespread snow and frozen soil in this area, profoundly affect the water circulation processes of the entire region. To thoroughly study the water cycle mechanism of the Qinghai–Tibet Plateau, this study considered the geological and climatic characteristics of this area and selected the Niyang River Basin as the study area. The Water and Energy transfer Processes in the Qinghai–Tibet Plateau (WEP-QTP) model was constructed based on the original Water and Energy transfer Processes in Cold Regions (WEP-COR) model. This model divides the single soil structure into two types of media: the soil layer and gravel layer. In the non-freeze–thaw period, two infiltration models based on the dualistic soil–gravel structure were developed based on the Richards equation in non-heavy rain periods and the multi-layer Green–Ampt model in heavy rain periods. During the freeze–thaw period, a hydrothermal coupling model based on the continuum of the snow–soil–gravel layer was constructed. This distributed hydrological model can dynamically simulate the changes in frozen soil and flow processes in this area. The addition of the gravel layer corrected the original model’s overestimation of the moisture content of the soil layer below the surface soil and reduced the moisture content relative error (RE) from 33.74 % to −12.11 %. The addition of the snow layer not only reduces the temperature fluctuation of the surface soil, but also works with the gravel layers to revise the original model’s overestimation of the freeze–thaw speed of the frozen soil. The temperature RE was reduced from −3.60 % to 0.08 %. In the non-freeze–thaw period, the dualistic soil–gravel structure improved the regulation effect of groundwater on flow, stabilizing the flow process. The maximum RE at the flow peak and valley decreased by 88.2 % and 21.3 %, respectively. In the freeze–thaw period, by considering the effect of the snow–soil–gravel layer continuum, the change in the frozen soil depth of WEP-QTP lags behind that of WEP-COR by approximately one month. There was more time for the river groundwater recharge, which better shows the “tailing” process after October. The flow simulated by the WEP-QTP model was more accurate and closer to the actual measurements, with Nash > 0.75 and |RE| < 10 %. The improved model reflects the effects of the Qinghai-Tibet Plateau special environment on the hydrothermal transport and water cycle process and is suitable for hydrological simulation of the Qinghai-Tibet Plateau.
Research on Human Implantable Wireless Energy Transfer System

Advances in medical technology and promote the human implantable wireless energy transfer devices are widely used. Traditional human implantable wireless energy transfer device have some problems of low charging efficiency, blindly charging and data transmission difficult. On the basis of the conventional electromagnetic induction, in this paper, we proposed the use of magnetically coupled resonant way on human implantable device for charging, this method can greatly improve the efficiency of wireless charging. The system gets the CPU’s unique ID of human implantable devices to identifying the device. We can artificially control human implantable device’s charging device number, so as to solve the problems caused by the blind charge. Meanwhile, the system uses an electromagnetic carrier approach for data transmission, both to simplify the complexity of hardware devices and improve the communication efficiency of the device.
Computationally efficient integrated design and predictive control of flexible energy systems using multi‐fidelity simulation‐based Bayesian optimization

We present a multi‐fidelity black‐box optimization approach for integrated design and control (IDC) of constrained nonlinear systems in the presence of uncertainty. The IDC framework is becoming increasingly important for the systematic design of next‐generation (flexible) manufacturing and energy systems. However, identifying optimal solutions to realistic IDC problems is intractable when (i) the dynamics occur on much shorter timescales than the system lifetime, (ii) the uncertainties are described by continuous random variables with high variance, and (iii) operational decisions involve a mixture of discrete and continuous variables. Instead of aggressively simplifying the problem to improve tractability, we develop a simulation‐based optimization procedure using high‐quality decision rules that map information that can be measured online to optimal control actions. In particular, we rely on the Bayesian optimization (BO) framework that has been shown to perform very well on noisy and expensive‐to‐evaluate objective functions. We also discuss how BO can be extended to take advantage of computationally cheaper low‐fidelity approximations to the high‐fidelity IDC cost function. Three major low‐fidelity approximation strategies are described in this work, which are related to the simplification of the system simulator, decision rule solution method, and time grid. Lastly, we demonstrate the advantages of multi‐fidelity BO on the design of a solar‐powered building heating/cooling system (with battery and grid support) under uncertain weather and demand conditions with hourly variation over a year‐long planning horizon.