Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear dynamic analysis of concrete gravity dams considering rotational component of ground motion

This study focuses on non-linear seismic response of a concrete gravity dam subjected to translational and rotational correlated components of ground motions including dam-reservoir interaction. For this purpose rotational components of ground motion is generated using Hong Non Lee improved method based on corresponding available translational components. The 2D seismic behavior of the dam concrete is taken into account using nonlinear fracture mechanics based on the smeared- crack concepts and the dam-reservoir system are modeled using Lagrangian-Lagrangian approach in finite element method. Based on presented formulation, Pine Flat concrete gravity dam is analyzed for different cases and results show that the rotational component of ground motion can increase or decrease the maximum horizontal and vertical displacements of dam crest. These results are dependent on the frequency of dam-reservoir system and predominant frequencies of translational and rotational components of ground motion.
A healthy eating score is inversely associated with depression in older adults: results from the Chilean National Health Survey 2016–2017

Abstract Objective: To investigate the relationship of a healthy eating score with depression in Chilean older adults. Design: Cross-sectional study. Setting: Older adults from the Chilean National Health Survey 2016–2017. Associations were analysed using complex samples multivariable logistic regressions adjusted for age, sex, socio-demographic, lifestyles (physical activity, smoking, alcohol consumption and sleep duration), BMI and clinical conditions (hypertension, diabetes, hypercholesterolaemia and cardiovascular diseases). Participants: The number of participants was 2031 (≥ 60 years). The Composite International Diagnostic Interview-Short Form was applied to establish the diagnosis of major depressive episode. Six healthy eating habits were considered to produce the healthy eating score (range: 0–12): consumption of seafood, whole grain, dairy, fruits, vegetables and legumes. Participants were categorised according to their final scores as healthy (≥ 9), average (5–8) and unhealthy (≤ 4). Results: Participants with a healthy score had a higher educational level, physical activity and regular sleep hours than participants with an average and unhealthiest healthy eating score. Participants classified in the healthiest healthy eating score had an inverse association with depression (OR: 0·28, (95 % CI 0·10, 0·74)). Food items that contributed the most to this association were legumes (15·2 %) and seafood (12·7 %). Conclusion: Older adults classified in the healthiest healthy eating score, characterised by a high consumption of legumes and seafood, showed a lower risk for depression in a representative sample of Chilean population.
Velocity-optimized diffusion for ultra-fast polymer-based resistive gas sensors

Conducting polymers are an attractive candidate for use in thin film resistive gas and vapour sensors, but their use has been limited by their apparently slow response times ranging from tens of seconds to minutes. In studying this problem, the authors have discovered that the response time is highly dependent upon the velocity at which the analyte flows across the sensor surface. This type of sensor operates at ambient temperature, and so the authors have attributed this behaviour to the combination of a reduced time for diffusion of the analyte in the carrier gas (pulse broadening) and faster diffusion through a disturbed boundary layer on the polymer surface. A finite element model has been developed to explore this phenomenon. The actual responses of two types of carbon-black/polymer composite resistive sensors have been measured. at velocities ranging from 50 to 1500 cm/s to pulses of ethanol and toluene vapour in air, using a purpose-built automated low-volume microchannel flow delivery system. The effect of velocity on the sensors response has been found to vary for different analytes, with a linear velocity,coefficient of 1 to 15 s/cm for ethanol and toluene vapour in air, respectively in the diffusion coefficient. The magnitude and rise time of the sensor responses were computed for different velocities and agrees well with the theoretical finite element model. Under optimal conditions, the fastest sensor was found to exhibit a rise time of less than 100 ms, which would be expected to fall even further for thinner films. These results suggest that conducting polymer resistive sensors could be designed to work with a 1 s duty cycle making them attractive for applications where rapid monitoring is required, e.g. on unmanned airborne vehicles and land-based mobile robots.
Vietnamese Version of the Geriatric Depression Scale (30 Items): Translation, Cross-Cultural Adaptation, and Validation

The proportion of geriatric depression recorded in Vietnam was 66.9%. Depression in older people is a risk factor for problems related to dementia, poor quality of life, and suicide. To have a good Vietnamese questionnaire for assessing geriatric depression, we conducted the study to translate and cross-culturally adapt the Geriatric Depression Scale—long-form with 30 items (GDS-30). The study has two steps. Step 1 is a translation of the GDS-30 scale. We followed the guideline by Beaton et al., (2000 & 2007). Firstly, two translators (informed and uninformed) translated the questionnaires. Secondly, the translations were synthesized. Thirdly, back translation was performed by two translators fluent in both Vietnamese and English but completely unknown of the original version of the scale and did not have medical expertise. Finally, seven experts reached a consensus on the pre-final Vietnamese version (GDS-30). Step 2 is a field test of the questionnaires on people 60 years or older. Then, we determined the internal consistency and test-retest reliability of the questionnaire in 55 Vietnamese inpatients in a geriatric department. Construct validity was determined by examining the relationship between depressive scores and patient characteristics. The Vietnamese version of GDS-30 was built with the agreement of all experts on the semantic, idiomatic, experiential, and conceptual equivalences between the original and pre-final Vietnamese versions of the GDS-30. The Cronbach’s alpha coefficient value was 0.928, indicating the items’ adequate internal consistency. Spearman’s correlation coefficient value of total scores between the first and second interviews showed medium correlation (0.479, p < 0.001), and the stability is acceptable. The GDS-30 scale reached the construct validity because the proportion of geriatric depression according to GDS-30 was significantly different between characteristics groups, such as gender, employment, level of education, economic status, and sleep disturbance. The Vietnamese version of the GDS-30 scale had high consistency, satisfactory reliability, and understanding and can be used as a screening tool for depression in elderly patients in primary healthcare centers. This is the first depression rating scale for the elderly in Vietnam to be translated and validated. Non-psychiatric health professionals or patients can quickly self-assess and screen for the illness.
Psychometric Properties at Indonesian Version of the Sport Anxiety Scale-2: Testing on Elite Athletes of Papua, Indonesia

This study aims to adapt and validate the Indonesian version of the Sport Anxiety Scale-2 (SAS-2Id). Data were obtained from a total of 268 (male = 154 and female = 114) elite athletes of Papua Indonesia with an age range of 16 to 43 years (M = 22.40 ± 5.01). Furthermore, language adaptation and validation were carried out through a forward-backward translation process using confirmatory factor analysis (CFA). An internal consistency approach was used to test for the reliability based on Construct Reliability (CR). The results evaluate the fit of the models showed that the SAS-2Id fit based on RMSEA, CFI, TLI, and PNFI. The three dimensions of SAS-2Id had standardized coefficient values from . 77 to . 81, with a significant p-value of ≤ . 001. The SAS-2Id item factor loading values ranged from . 51 to . 88, indicating that it is above the recommended threshold (≥ .50). Furthermore, the reliability test carried out using the internal consistency approach discovered that the dimensions of worry (AVE = .60) and concentration disruption (AVE = .50) were above the recommended cutoff points. In contrast, the somatic dimension had the lowest value (AVE = .35). However, from the other two reliability test parameters, it was discovered that the CR and Cronbach's Alpha values were from . 73 to . 88 and . 71 to . 88, respectively, which indicated good reliability values. Therefore, the psychometric property at the Indonesian version of the SAS-2 is a valid and reliable measuring instrument for anxiety levels.
Transcriptome analysis identifies candidate genes in the biosynthetic pathway of sex pheromones from a zygaenid moth, Achelura yunnanensis (Lepidoptera: Zygaenidae)

In most moth species, sex pheromones responsible for mating and communication of both sexes are primarily produced by the pheromone glands (PGs) of female moths. Although the PG transcriptomes and pheromone production related genes from 24 moth species have been characterized, studies on the related information remain unknown in the Zygaenidae family. Here, we sequenced the PG transcriptome of a zygaenid moth, Achelura yunnanensis. Such the sequencing resulted in the yields of 47,632,610 clean reads that were assembled into 54,297 unigenes, coupled with RNA sequencing data from 12 other tissues. Based on the transcriptome, a total of 191 genes encoding pheromone biosynthesis and degradation enzymes were identified, 161 of which were predicted to have full-length sequences. A comparative analysis among 24 moth species of nine families indicated that the numbers of the genes were variable, ranging from 14 in two Grapholita species to 191 in A. yunnanensis. Phylogenetic analysis in parallel with the expression data highlighted some key genes, including three △9 and four △11 desaturases, four fatty acyl-CoA reductases (FARs) clustering in the pgFAR clade, and three significantly antennae-enriched aldehyde oxidases. An extensive tissue- and sex- expression profile revealed a broad distribution of the genes, in which 128 relatives were detected in the PGs and 127 in the antennae. This study reports, for the first time, the gene repertoires associated with the pheromone production in Zygaenidae, and provides a valuable resource for exploring putative roles of the PG-enriched genes in A. yunnanensis.
Seamless Mobile Learning: Possibilities and Challenges Arising from the Singapore Experience

The purposes of the present study are to describe the design of mobile learning scenarios based on learning sciences theories, and to discuss implications for the future research in this area. To move beyond mere speculations about the abundant possibilities of mobile learning and to make real impact in K-12 school settings, it is critical to conduct schoolbased research grounded on the learning sciences theories. Towards this end, this paper describes school-based mobile learning projects conducted by a research team at the Learning Sciences Lab in Singapore, and then discusses the possibilities and challenges of mobile learning to further inform future research. Specifically, this paper explores the affordances of mobile technology, such as portability, connectivity and context-sensitivity, to design seamless learning scenarios that bridge formal and informal learning experiences. The authors present a framework for re-conceptualizing different types of learning based on physical settings and intentionality, and then describe two seamless learning scenarios, namely 3Rs and Chinatown Trail, which were implemented in one primary school in Singapore. In conclusion, the authors discuss the affordances of seamless mobile learning for enhancing one’s lived experiences to build a living ecological relationship between the person and the environment, and how mobile technology can play a critical role for enabling such lived experiences.
Study on Stability of Tunnel Surrounding Rock and Precipitation Disaster Mitigation in Flowing Sand Body

Flowing sand is a special surrounding rock encountered by tunnel construction. Due to the looseness and low viscosity of the flowing sand, after excavation, the sand body is easy to flow along the open surface. In addition, the water seepage also causes tunnel instability. Considering the characteristics of water seepage, how to improve the stability of flowing sand bodies and prevent the instability of surrounding rocks has become a difficult problem. In this paper, a parametric experiment on the surrounding rock taken from the project site was carried out, and then, a numerical simulation of the flowing sand body was conducted to study the precipitation construction method and stability of the flowing sand body. Other than that, the tunnel face vacuum dewatering, vertical vacuum dewatering at the top of the tunnel, and the vacuum dewatering technology of the gravity well in poor geological section were systematically analyzed in our research. A radial vacuum enclosed precipitation process for the face of the tunnel was proposed, which effectively solved the problem concerning continuous seepage of water in the front. Through numerical simulation and field experiments, the basis for determining the precipitation parameters of the tunnel face was obtained, while aiming at the top position of the tunnel, a vertical vacuum negative pressure precipitation method of intercepting the top seepage water and the water supply behind the top of the tunnel was proposed. For the bottom of the tunnel, setting gravity wells on the side walls for the purpose of preventing seepage at the bottom was put forward. The application of these methods in the project ensured the safety of construction and improved the construction schedule. After the completion of the dewatering construction, the method of inserting plywood into the small pipe was adopted to avoid the collapse of the dry sand. Then, to solve the problem of borehole collapse in flowing sand bodies, pipe feeding was introduced, thus further enhancing the precipitation effect. Furthermore, in view of the problem that the dewatering hole in the flowing sand body is easy to collapse, resulting in the failure of 60% of the dewatering hole and the sand body is extracted from the dewatering pipe, causing the risk of the cavity at the top of the tunnel, a method of pipe following is presented to avoid the damage of geotextile caused by directly inserting the dewatering pipe and further improve the dewatering effect. All the above processes together form an omnidirectional three-dimensional negative pressure precipitation method that considers the special sand body flow and water seepage of unfavorable geology and that has been proved to enhance the stability of surrounding rock in practice.
Effect of computer-supported collaborative learning (CSCL) on students’ essay writing skills and their attitude toward e-learning

Computer-supported Collaborative Learning has been the focus of investigation in the field of foreign language learning for many years. This study aimed to investigate the impact of learning through blogging on the students’ essay writing skill and attitude. A total of 96 students from a Technological university were assigned to the study and were divided into 2 groups of experimental (bloggers) and control (regular) groups. They were instructed in two different methods by using different teaching methodologies. The bloggers, the experimental group students, did not receive any direct teaching; in fact, they received the lessons through weblogs. The findings showed that blogging had a significantly better effect on the learners’ writing skill improvement than the regular class. Also, a semi-structured interview was conducted to investigate the perceived usefulness, perceived ease of use, actual use of web and the students' attitude toward blogging, whose results demonstrated that the students’ attitudes and feelings can be reshaped as a result of exposure to e-learning. Keywords: Computer-supported, collaborative learning, blogging, e-learning, essay writing
Induction motors' faults detection and localization using stator current advanced signal processing techniques

The knowledge about fault mode behavior of an induction motor drive system is extremely important from the standpoint of improved system design, protection, and fault-tolerant control. This paper addresses the application of motor current spectral analysis for the detection and localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. Intensive research effort has been for some time focused on the motor current signature analysis. This technique utilizes the results of spectral analysis of the stator current. Reliable interpretation of the spectra is difficult since distortions of the current waveform caused by the abnormalities in the induction motor are usually minute. This paper takes the initial step to investigate the efficiency of current monitoring for diagnostic purposes. The effects of stator current spectrum are described and the related frequencies determined. In the present investigation, the frequency signature of some asymmetrical motor faults are well identified using advanced signal processing techniques, such as high-resolution spectral analysis. This technique leads to a better interpretation of the motor current spectra. In fact, experimental results clearly illustrate that stator current high-resolution spectral analysis is very sensitive to induction motor faults modifying main spectral components, such as voltage unbalance and single-phasing effects.
The Compound Inverse Rayleigh as an Extreme Wind Speed Distribution and its Bayes Estimation

The paper deals with the Compound Inverse Rayleigh distribution, shown to constitute a proper model for the characterization of the probability distribution of extreme values of wind-speed, a topic which is gaining growing interest in the field of renewable generation assessment, both in view of wind power production evaluation and the wind-tower mechanical reliability and safety. The first part of the paper illustrates such model starting from its origin as a generalization of the Inverse Rayleigh model - already proven to be a valid model for extreme wind-speeds - by means of a continuous mixture generated by a Gamma distribution on the scale parameter, which gives rise to its name. Moreover, its validity to interpret different field data is illustrated, also by means of numerous numerical examples based upon real wind speed measurements. Then, a novel Bayes approach for the estimation of such extreme wind-speed model is proposed. The method relies upon the assessment of prior information in a practical way, that should be easily available to system engineers. In practice, the method allows to express one’s prior beliefs both in terms of parameters, as customary, and/or in terms of probabilities. The results of a large set of numerical simulations – using typical values of wind-speed parameters - are reported to illustrate the efficiency and the accuracy of the proposed method. The validity of the approach is also verified in terms of its robustness with respect to significant differences compared to the assumed prior information.
Non-linear earthquake-response analysis of long-span cable-stayed bridges: Theory

The non-linear dynamic analysis of three-dimensional long-span cable-stayed bridges when subjected to seismic loading is formulated. All possible sources of non-linearity, such as cable sag, axial force-bending moment interaction in bridge towers and girders and change of geometry of the whole bridge due to large displacements are considered in the analysis. Both cases of uniform and multiple-support seismic excitations are considered in the non-linear formulation of the problem. A tangent stiffness, iterative procedure is utilized to capture the the non-linear seismic response. The non-linear equations of motion are solved using a step-by-step integration technique in the real displacement coordinate space as well as in the modal coordinate space to save computational time.
Optimizing Ferroelectric and Interface Layers in HZO-Based FTJs for Neuromorphic Applications

Nonvolatile memories especially the ferroelectric (FE)-based ones such as ferroelectric tunnel junctions (FTJs) and ferroelectric field-effect transistors (FeFETs) have recently attracted a lot of attention. FTJs have been intensively researched for the last decade and found to be very promising memory devices due to their significant nondestructive readout advantage as compared to conventional ferroelectric random access memory (FRAM). However, more research is needed on FTJ devices to obtain reliable endurance and retention behavior. In this article, we demonstrate the characteristics and performance of zirconium-doped hafnium oxide-based FTJ devices in terms of FE switching and reliability. This is investigated for FTJ stack structure tuning as well as for the FE switching process in FTJ devices. The FTJ memory switching characteristics, the effects of polarization switching on the write conditions, and the impact of pulse width and pulse amplitude on switching are investigated. The impact of FE layer thickness and interface layer type/thickness are reported to obtain a maximum FTJ <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ </tex-math></inline-formula> ratio (memory window) and reliable performance. The maximum <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ </tex-math></inline-formula> ratio changes depending on the FE layer (zirconium-doped HfO<sub>2</sub> layer) thickness (12, 8, 6, and 4 nm), the interface layer type (SiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>), and thickness (1 and 2 nm), indicating the maximum value of <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ </tex-math></inline-formula> ratio for a 1 nm SiO<sub>2</sub> interface layer stack. Moreover, a stable endurance of 10<sup>4</sup> cycles is reported and extrapolated measurements suggest stable retention for more than ten years. Time-dependent breakdown analysis was performed to investigate the reliability of devices indicating a lifetime of ten years.
Contact materials for microrelays

The design of a microrelay actuator has to be based on the characteristic data of the contact material used. These data were determined experimentally at Au, AuNi5 and Rh switching electric contacts. The samples were cleaned with good result using the "Schaltreinigung" procedure. A new precision measurement technique was developed that enables investigations of electric contacts at contact forces varying continuously in the range from 0.1 mN to more than 10 mN. It was found that AuNi5 and Rh are contact materials well suited for microrelays, whereas Au is not appropriate due to its high adherence. Stable contact and reliable opening are provided by forces altogether as low as 0.6 mN. The experimental data were used successfully in dimensioning the moving wedge actuator used in silicon microrelays.