Miracle-dz/UniFAR-FTUs huggingface dataset:
Vibration control by active integrated control system under bidirectional ground motions

To improve the safety and security of the structures with irregular plan configuration, the new torsionally effective passive control system (ICS) was first proposed by the author, which utilizes a new design configuration to dissipate the unwanted energy from the structures in the lateral and torsional directions. In this research, a new active structural control approach, which is the active form of the ICS (or active integrated control system, AICS), is introduced as an alternative active control system, especially for the buildings with torsional sensitivity. In the design of active system configurations, two actuators driven by the linear quadratic regulator (LQR) are implemented and used to apply the optimum control forces to the ATMDs and AICS. For examining the performance of the proposed system configuration, the ﬁnal design is applied to the 9-story Benchmark steel structure subjected to bidirectional three historical earthquakes. The obtained results show the overall performance of structural performance by using the AICS is substantially improved as compared to conventional ones (ATMDs) under selected ground accelerations with a 3% to 6% improvement in the lateral directions and by nearly 20% in the torsional direction in terms of the peak and root mean square response reduction.
The Effect Of Investor’S Psychological Condition In Investment Decision Making

This study aims to analyze the psychology of investor in making investment decision. Investment decision is the factor in constituting market price of stocks as well as composite index in capital market. The purpose is to prove whether stock prices are constituted by merely rational decision making such as using fundamental or technical analysis or also by irrational one such as psychological investors such as fear, ambition, greedy or panic. This study uses qualitative methods approach, especially phenomenological approach to address the research questions. The data are generated from semi-structured interviews with several investors/traders in the Indonesia stock market. The results reveal that psychology condition has a role in the behavior of investors in making investment decisions and not only using rational consideration such as fundamental analysis or technical analysis to analyze the stock prices. Hence, the daily stock market or aggregately stock market composite index are constituted by simultaneously rational and irrational consideration of investors.
Acute Improvement of Postural Steadiness Through Neuromuscular and Proprioceptive Training in Sedentary Older Females

Background: Poor balance ability will increase falling incidence. This study evaluated an acute improvement of postural steadiness through a neuromuscular and proprioceptive training (NPT) program in sedentary older females. Methods: Forty-eight sedentary females over the age of 65, who came to the Ukrainian center for sports medicine (Kiev) in the winter of 2018, volunteered for participation in this quasi-experimental study. Participants, who were derived from a convenience sample, were assigned at random to the NPT exercise group (n = 24; age = 70.1 ± 4.6; BMI = 22.34 kg/m2) and the seated rest group (n = 24; age = 69.3 ± 6.8; BMI = 22.47 kg/m2). The NPT exercise group held a modified NPT session for one hour and then finished it by cooling down for 5 minutes, while the seated rest group at the same time, stayed in a sitting position. The center of pressure (COP) in the static state in barefoot conditions was recorded with different visual conditions before and after the study from both groups in the two planes using a force platform. Analysis of variance (ANOVA) was utilized to compare groups in addition to differences over time. Results: Significant interaction influences were found in the total mean velocity of COP swings (P = 0.004) and the mean velocity of COP swings in the mediolateral plane (P = 0.003) in the NTP exercise group when eyes were closed. Conclusions: A modified NPT program session improves the ability to balance age changes. This program has an acute positive effect on COP velocity swings in sedentary elderly females.
Nikolay Ivanovich Pirogov as an innovator in anatomy, surgery, and anaesthesiology. Part II

This article is the second of two articles on Nikolay Ivanovich Pirogov. In the first article “Highlights of the professional activities of Nikolay Ivanovich Pirogov before and after his professoriate in Saint Petersburg (1841–1860). ” we discussed his early training and his professional development at the Dorpat University and abroad till his appointment in Saint Petersburg 1841. Also is discussed how during and after his professoriate in Saint Petersburg he developed management of mass war casualties. In this second article we highlight his professional career as an anatomist, surgeon and anaesthesiologist. The authors want to emphasize that these two articles are an extract from previously published extensive articles related to Nikolay Ivanovich Pirogov. You can find these articles in the reference list under the name of the first author [12–17].
Self-Sensing Alkali-Activated Materials: A Review

Alkali-activated materials are an emerging technology that can serve as an alternative solution to ordinary Portland cement. Due to their alkaline nature, these materials are inherently more electrically conductive than ordinary Portland cement, and have therefore seen numerous applications as sensors and self-sensing materials. This review outlines the current state-of-the-art in strain, temperature and moisture sensors that have been developed using alkali activated materials. Sensor fabrication methods, electrical conductivity mechanisms, and comparisons with self-sensing ordinary Portland cements are all outlined to highlight best practice and propose future directions for research.
Society, Dispersed Knowledge and Uncertainty Toward Ethical Tales

In this article the assumptions of one of the versions of the common good concept in terms of the dispersion of knowledge and uncertainty are analyzed. The article also aims at showing the consequences in regard to moral attitudes in politics and economics which are drawn on the basis of the concepts of this type. In the first part I expound the ontological assumptions which are the basis for the analysis. In the second part the concept of common good in terms of its own assumptions and in relation to the ontology developed in this article is discussed. In the third part I consider some general thoughts about the structure of the ethical tales and their reference.
Appropriate Feature Set and Window Parameters Selection for Efficient Motion Intent Characterization towards Intelligently Smart EMG-PR System

The constantly rising number of limb stroke survivors and amputees has motivated the development of intelligent prosthetic/rehabilitation devices for their arm function restoration. The device often integrates a pattern recognition (PR) algorithm that decodes amputees’ limb movement intent from electromyogram (EMG) signals, characterized by neural information and symmetric distribution. However, the control performance of the prostheses mostly rely on the interrelations among multiple dynamic factors of feature set, windowing parameters, and signal conditioning that have rarely been jointly investigated to date. This study systematically investigated the interaction effects of these dynamic factors on the performance of EMG-PR system towards constructing optimal parameters for accurately robust movement intent decoding in the context of prosthetic control. In this regard, the interaction effects of various features across window lengths (50 ms~300 ms), increments (50 ms~125 ms), robustness to external interferences and sensor channels (2 ch~6 ch), were examined using EMG signals obtained from twelve subjects through a symmetrical movement elicitation protocol. Compared to single features, multiple features consistently achieved minimum decoding error below 10% across optimal windowing parameters of 250 ms/100 ms. Also, the multiple features showed high robustness to additive noise with obvious trade-offs between accuracy and computation time. Consequently, our findings may provide proper insight for appropriate parameter selection in the context of robust PR-based control strategy for intelligent rehabilitation device.
Cellulose-Supported Ferrihydrites for the Removal of As(III), As(V) and Cr(VI) from Mining-Contaminated Water

Mining-induced water contamination remains a significant concern in many regions of the world due to the high concentrations of toxic ions often associated with it. In this study, cellulose-supported ferrihydrite composites (CNF-Fe) were prepared by seeding of ferrihydrite nanoparticles on cellulose nanofibres (CNFs) and employed for the removal of As(III), As(V) and Cr(VI) from contaminated water. The adsorbent was characterized by electron microscopy, gas adsorption, point of zero charge (pHPZC), X-ray diffractometry (XRD), as well as infrared and Raman spectroscopy. Compared to parent CNFs, CNF-Fe adsorbents had lower crystallinity and a higher surface area: 218.76 m2 g-1. Further, with a pHPZC of 6.3, CNF-Fe was positively charged at low pH and suitable for adsorption of anions at acidic conditions characteristic of acid mine drainage. In single-ions solutions, the removal efficiency of CNF-Fe was in the order Cr(VI)>As(V)>As(III) (i.e. 0.15, 0.12 and 0.11 mg g-1 respectively). Adsorption kinetics followed the pseudo second-order model and isotherms were best fitted by the Freundlich, Dubinin-Radushkevich, and Temkin models. However, when CNF-Fe was applied to AMD-contaminated water (pH 2.7), Cr(VI) uptake decreased to ~39% which was likely due to competition from sulphate and selenium ions. Nevertheless, the adsorbent displayed regeneration capabilities with ~98% As and ~45% Cr desorbed after 24 hours of treatment. Together, these results suggest that cellulose supported ferrihydrite composites can be applied in treatment of mine drainage-contaminated water in conjunction with pre-treatments that limit SO42- and selenium concentrations.
Rationally designed piezoelectric charge polarity at interfaces for largely improving photodiode performance by piezo-phototronic effects

The piezo-phototronic effect is a three-way coupling effect among optical, electrical and mechanical properties of piezoelectric semiconductor (piezo-semi) materials. Although both positive and negative piezoelectric charges (piezo-charges) appear at either end of the piezo-semi material when it is stretched or compressed along a certain direction, only one type/polarity of piezo-charges is investigated and only a single layer of the piezo-semi material is utilized in many of the relevant studies. In this work, not only significant photoresponse improvements by the piezo-phototronic effect are experimentally achieved, but also the coupling effects of positive and negative piezo-charges at the collective interface of two piezo-semi materials are systematically studied. The promising results indicate that: (1) the net quantity and the polarity of piezo-charges can be rationally designed by carefully choosing the neighboring piezo-semi materials, and (2) the multi-layer device structure is a very feasible method to achieve high photoresponse performances especially with the help of the piezo-phototronic effect.
Drivers of Participation in Digital Citizen Science: Case Studies on Järviwiki and Safecast

Digital citizen science platforms are prominent examples of modern volunteerism that provide people with opportunities to observe natural phenomena and to engage in scientific processes. In this study, we explore the values and motivations underlying sustained participation in digital citizen science projects through the lenses of two social psychology theories (Schwartz’s Human Values Theory and Self-Determination Theory). We present in-depth analyses of interviews with 15 long-term volunteers in two digital citizen science initiatives (Jarviwiki and Safecast) that have been collecting environmental data for a decade in Finland and Japan. Our results advance the understanding of the values underpinning motivations. Our analyses show that openness-to-change values, such as self-direction, are important for initial participation, yet a diverse range of values, except for power, play a role in sustaining participation. Our study also shows that the values related to sustained participation are linked with extrinsic motivations, suggesting that when extrinsic motivators are self-directed, people will not only perform tasks willingly and enthusiastically but also in a sustained manner. Conceptualizing the behavioral continuum that drives volunteering actions provides practical insights that can assist the design, development, and evaluation of digital citizen science platforms.
Heated humidified high flow nasal cannula versus nasal continuous positive airway pressure for respiratory support in extremely low birth weight preterm infants after extubation: a single centre randomized controlled trial

Background: The objective of the study was to assess the indications, frequency of usage, clinical efficacy, and safety of heated humidified high-flow nasal cannula (HHHFNC) and nasal continuous positive airway pressure (NCPAP) in extremely low birth weight preterm infants (ELBWI) after extubation.Methods: Hospital based prospective randomized control study involving ELBWI with respiratory distress admitted in NICU. In this study, all selected preterm infants were placed on one of the non-invasive respiratory supports (HHHFNC or NCPAP), after a period of positive pressure ventilation (post-extubation). Reintubation rate within 72 hours after initial extubation, duration of invasive ventilation, duration of non-invasive respiratory support, duration of supplemental oxygen, and time to reach full feeds were the primary outcome measures. Duration of total enteral feeding, average weight gain rate, duration of hospitalization, and complications including nasal injury, IVH, BPD, NEC, ROP, and PDA, were the secondary outcomes.Results: A sample size of 46 ELBWI were included. HHHFNC effectively reduced the incidence of nasal injury and NEC (p<0.05) along with the decreased duration of supplementary oxygen. Additionally, HHHFNC achieved a significant advance in time to reach full enteral feeding; increased the average weight gain before discharge; reduced the duration of hospitalization (p<0.05). Conclusions: HHHFNC was effective in preventing extubation failure in mechanically ventilated preterm ELBWI compared to NCPAP. HHHFNC shortens the duration of supplemental oxygen and significantly reduces the incidence of nasal injury and necrotizing enterocolitis; moreover, it can also reduce the duration of hospitalization and its cost.
Communicating Sustainability In Communicative City: Problems On Implementing Sdgs In Indonesia

Sustainable Development Goals has been implementing in one way or another across the globe, especially in developing country like Indonesia. Although it has been around since 2016, its implementation is still stalling. The problems with the goals are not the main idea or why do we have to adopt it. Communicating goals is the first problem. This problem arises because of differences in understanding regarding the SDGs and the role of the agreement in development. The communicative city may emerge as an option offered to resolve the problem. This paper aims to illustrate why Communicative City Approach might be the tools needed to achieve the Sustainable Development Goals, while also aim to explore what is important to focus on in implementing the approach. Method use focuses on a qualitative method while emphasizing on literature review, especially analysing SDGs reports published by organizations about the implementation of SDGs for the last years. Key findings are that SDGs also has its effort to localize the Goals and Targets as on to make it easier for the government to achieve the goals needed, although the effort may be further advanced by utilizing the communicative approach, especially considering the communicative principles in socializing SDGs to local level government. This research concludes that although on more empirical levels, the communicative approach may improve significance on our effort to achieve the Sustainable Development Goals
Bayesian sparse reconstruction based on dictionary learning

Imaging through thick scattering media produces a random speckle signal with wealth information, which can be restored by subsequent processing. While a moving target is hard to reconstruct by existing technology, we apply temporal Bayesian compressed sensing method to overcome this limitation. In addition, an over completed dictionary is used as a sparse base to improve the accuracy of the reconstructions. In this letter, we improve system time resolution without changing its spatial resolution and reconstruct T frame speckle images from a single temporal compressed speckle measurement.
Predicting the laboratory rutting response of asphalt mixtures using different neural network algorithms

ABSTRACT The permanent deformation of asphalt pavement under similar traffic conditions depends on a number of factors. The factors considered in this study are bitumen source, aggregate source, aggregate gradation, bulk specific gravity of aggregates (Gsb), percentage of aggregates passing #4 sieve, air voids (Va), optimum bitumen content, binder grade, load repetitions, temperature, and Marshall stability. Asphalt pavement analyzer (APA) test, Cooper wheel tracking test (CWTT), and repeated load axial test (RLAT) were performed on thirteen different types of hot mixed asphalt (HMA) mixtures. Three artificial neural network (ANN) algorithms, namely Backpropagation (BP), Conjugate gradient (CG), and Broyden-Fletcher Goldfarb-Shanno (BFGS) were used to analyse the data. The best fit ANN algorithm for each of the laboratory tests (APA, CWTT, RLAT) was selected, based on the coefficient of determination (R-squared), root-mean-square error (RMSE), mean bias error (MBE) and the mean square error (MSE) closest to the gamma statistic Г. The results showed no single ANN algorithm is suitable for predicting all HMA rutting susceptibility tests data. The BP algorithm most appropriately predicts APA test data, the BFGS algorithm precisely fits CWTT results, and the CG algorithm seems most suitable to predict RLAT data. However, further, differentiating testing is required for a more precise comparison of rutting predicting ability of various ANN algorithms.
15 Years of Evolution of Non-Invasive EEG-Based Methods for Restoring Hand & Arm Function with Motor Neuroprosthetics in Individuals with High Spinal Cord Injury: A Review of Graz BCI Research

Patients who suffer from a high spinal cord injury have severe motor disabilities in the lower as well as in the upper extremities. Thus they rely on the help of other people in everyday life. Restoring the function of the upper limbs, especially the grasp function can help them to gain some independence. Using EEG-based neuroprosthetics is a way to help tetraplegic people restore different grasp types as well as moving the arm and the elbow. In this work an overview of non-invasive EEG-based methods for restoring the hand and arm function with the use of neuroprosthetics in individuals with high spinal cord injury is given. Since the Graz BCI group is leading in this area of non-invasive research mainly, the work of this group is represented.
Research on the influence of random refractive index medium on wave front detection in long optical path

The random distribution of refractive index caused by air turbulence is an important factor affecting the accuracy of optical measurement, especially in the field of precision measurement. At present, the analysis of the influence of random refractive index medium on wave front detection in long optical system is based on practical experiments. In this paper, based on the existing ray tracing methods and image quality evaluation criteria in the medium with variable refractive index, the ray tracing is performed on the medium with long optical path with the random refractive index distribution, and the relevant influence characteristics are measured and studied. First, a set of normally distributed atmospheric density data with a constant mean value and variance are generated and the corresponding refractive index data is obtained which includes dry air density and water vapor density in the current environment. Then, the ray tracing is carried out in the random medium and uniform medium respectively. Two kinds of image quality evaluation criteria, PV and RMS, are obtained by comparing the simulation results. Through simulation, the influence of random distribution of media on optical testing results can be measured, and the post-processing of test data can be guided. The simulation results show that the larger the variance of the normal distribution of atmospheric density is, the more serious the wave front distortion is. The methods proposed in this paper can be applied to optical testing fields such as interference measurement.
Positional misalignment correction for Fourier ptychographic microscopy based on intensity distribution

Fourier ptychographic microscopy is a newly developed method to extend the resolution beyond the conventional limit defined by a microscope optics. The positions of the LED sources strongly determine the quality of the reconstructed result. In this paper, we propose a new positional misalignment correction method, which is based on the distribution of the incident LED intensity. When the LED matrix panel has displacements along x-axis, or y-axis, the incident LED intensity distribution which propagates to the sample plane will be changed. An optimization method to correct positional misalignment is introduced, as well as the light intensity correction. Simulation has been performed to verify the effectiveness of the proposed method, which demonstrates that the reconstructed result shows a better quality.
Detection of Aerosols in Antarctica From Long‐Range Transport of the 2009 Australian Wildfires

We analyze the long‐range transport to high latitudes of a smoke particle filament originating from the extratropics plume after the Australian wildfires colloquially known as “Black Saturday” on 7 February and report the first Antarctic stratospheric lidar characterization of such aerosols. Using a high‐resolution transport/microphysical model, we show that the monitoring cloud/aerosol lidar instrument operating at the French Antarctic station Dumont d'Urville (DDU, 66°S to 140°E) recorded a signature of those aerosols. The 532 nm scattering ratio of this filament is comparable to typical moderate stratospheric volcanic plume, with values between 1.4 and 1.6 on the first and third days of March above DDU station at around the 14 and 16 km altitude, respectively. A dedicated model is described and its ability to track down fine optical signatures is validated against Antarctic lidar elastic aerosol and DIAL ozone measurements. Using 1 month of tropical Cloud‐Aerosol Lidar with Orthogonal Polarization (CALIOP) data to support a relatively simple microphysical scheme, we report modeled aerosol presence above DDU station after advection of the aerosol size distribution. In situ measurements also report associated positive ozone anomaly. This case study provides evidence that biomass burning events injecting significant amounts of material up to stratospheric altitudes can be transported toward high latitudes. We highlight a potential imprint of smoke particles on the Antarctic atmosphere over larger time scales. Any underestimation of the global impact of such deep particle transport will lead to uncertainties in modeling the associated chemical or radiative effects, especially in polar regions, where specific microphysical and chemical processes take place.