Miracle-dz/UniFAR-FTUs huggingface dataset:
CONSIDERATION OF POUNDING AND SSI IN ENERGY-BASED SEISMIC DESIGN OF BUILDINGS

The energy demand on a given construction is commonly determined, in terms of equivalent velocity, from smoothed design spectra that are ordinarily derived after dynamic analyses on SDOF systems. The application to actual multi-story buildings is far from trivial, given that their behavior must be characterized with MDOF models; in this context, a relevant issue is the distribution of energy along the building height. In other words, additional research is required to further promote the development of the energy-based approach. Thus, this work addresses two issues not sufficiently covered in past studies: the influence of soil-structure interaction (SSI), and pounding between adjoining buildings. The study begins by selecting four low-rise (3 and 5-story) RC frame buildings and four representative severe ground motion records (i.e. historic accelerograms). Such inputs are selected with respect to their most relevant characteristics: frequency content (indirectly represented by the soil type) and relevance of velocity pulses (forward-directivity effects). Then, 2-D nonlinear dynamic analyses are performed on single (lone) buildings and on pairs of colliding buildings. These calculations provide the total input and hysteretic energy and their distribution among the building stories. Such results are compared with those from a more simplified approach (i.e. the individual energy spectra of the considered inputs), and relevant conclusions are derived. Preliminary results show that the comparison between the energies determined with the two abovementioned approaches shows a reasonable fit, and that the influence of SSI proves significant. Regarding pounding, it does not alter significantly the total input and hysteretic energy, but their distribution among the floors changes considerably, concentrating in the colliding floors.
Association Between Falls Experience and Physical Performance Measures in Community-Living Older Adults

Abstract Aims: To determine if various physical performance tests are able to adequately discriminate older adults based on their experience with falls and assess the concurrent validity of the “Barthel index” against these tests. Methods: Fifty-four older adults above 60 years of age were divided into three groups: those who suffered a fall, have fear of fall (FoF), or were part of an age-matched control group. Performance measures that quantified balance impairments, the strength of the trunk, and respiratory muscles along with the Barthel index were evaluated. Results: Older people who have experienced falls have lower scores in all the variables measured compared to the other two groups. Though certain measures were able to discriminate the scores between the three groups, not all of these measures were related to Barthel index scores. Conclusion: The Berg Balance Scale (BBS) seems to be more appropriate for discriminating balance impairment and performance among elders.
Trajectory Optimization Algorithm of Trajectory Rehabilitation Training Mode for Rehabilitation Robot

It is a challenge for robot-assisted rehabilitation therapy to develop a training program with both customized and optimized characteristics. To optimize the scheme of the trajectory rehabilitation training mode, we design a trajectory optimization algorithm with an intelligent decision mechanism. A trajectory smoothing improvement algorithm is proposed to make the trajectory more suitable for rehabilitation training. In addition, we propose an improved genetic algorithm that reduces the optimization time and obtains a better solution. An adaptive variable time weight improved trapezoidal velocity algorithm is innovatively designed by fusing the above two algorithms with an optimal rehabilitation training program as a guide. Based on the experimental platform of the upper limb rehabilitation robot, it is demonstrated that the algorithm can provide comfortable and high-quality rehabilitation training for patients by adaptively optimizing the parameters of the trajectory model according to the training constraints. By combining an intelligent optimization algorithm with a rehabilitation robot trajectory planning algorithm, this paper realizes the unification of customization and optimization of a trajectory rehabilitation training program.
Social Representations About School and Learning in Different Groups of Participants of the Educational Process

The article presents the results of an empirical study of social representations about school and learning among the main participants of the modern school educational process: students themselves, their teachers and parents.The study, conducted in the 2018/2019 academic year, involved 480 teenagers, pupils of 5—11 classes of several Moscow secondary schools, 145 of their parents (mostly mothers) and 147 teachers (of which also the majority are women). To identify social representations, respondents were asked to write five consecutive associations for the following words: "school" (for teenagers), "school of my childhood" and "modern school" (for teachers and parents), "learning" and "Unified state exam (USE)" (for all groups of participants). In the logic of the theory of "core and periphery" obtained for each of the groups of participants of the study associations were subjected to prototypical analysis (according to P.Verges). We tested the hypothesis on the difference in social representations about school and learning in different groups of participants of the educational process.Social representations were indeed different in the studied groups when it came to school and learning, but they turned out to be quite close when the associations to the word "Unified state exam (USE)" were analyzed: apart from the frequently occurring ascertaining (and in this sense emotionally neutral) association "test", the rest had a negative emotional, evaluative connotation.
Project-based learning in robotics meets junior high school

The purpose of this study is to examine the teachers’ practice of “meaningful learning” has become an inseparable part of the educational discourse. As a result, many schools have adopted the project-based learning (PBL) approach, which represents different teaching methods. The PBL approach also changes the position of the teacher as a source of knowledge as well as teacher–student relationship. The integration of PBL into and its implementation in the teaching of the robotics profession in junior high schools have created a new reality in which teachers who use project-based learning for teaching robotics come from diverse professional backgrounds, and in many cases, they are selected by the principal of the school. In light of this reality, it is interesting to examine the experience of teachers who manage a project in a field of knowledge that is not their expertise. This study examined teachers’ perceptions of their experience in teaching using the PBL approach. The subject of robotics was chosen as the field of research, as it represents a much broader issue concerning the implications of teaching using PBL on the professional, personal and ecological aspects. The study data were collected using structured questionnaires, which also included open-ended questions. These questionnaires were answered by 173 teachers, some of whom are educators (class tutors) and some professional teachers from three fields of knowledge: human studies, sciences and engineering. Each questionnaire included attitudes relating to the PBL teaching experience and the contribution of the PBL approach to both teachers and students. The findings show a high level of general satisfaction among the teachers and a sense of self-efficacy in teaching PBL. The findings also indicate personal, professional and ecological (teacher–environment relationship) contributions that were perceived as significant. The findings additionally indicate that class tutors perceived ecological contribution more than professional teachers, and professional teachers in the fields of human studies and sciences perceived it to be more significant than engineering teachers. ,This study was based on quantitative research principles from the assumption that it can also be applied to different populations. The premise of this study is that the best way to understand phenomena is by using a large sample and numerical measurement (N = 176), which is required to avoid a result that may reflect only a partial view of the matter at hand when focusing on only a few limited cases. ,A limitation of the present study is expressed in the fact that it is based on the perspective of one of the participants in the learning–teaching process – the teachers – who guided the project. The students’ perspective has not been studied. It is required to continue the study and examine the perceptions of the students who participate in PBL classes in which the teachers are not experts in the field of knowledge.
Highly polarized one-dimensional Fermi gases near a narrow 
p
-wave resonance

Based on the recently developed interaction renormalization for the one-dimensional $p$-wave interaction, we study the problem of a single impurity immersed in a highly polarized Fermi sea. They interact through a narrow $p$-wave Feshbach resonance, so the effective range ${r}_{0}$ naturally appears in the system. We use the variational approach limited to single-particle--hole excitations on top of the unperturbed Fermi sea. The polaron exhibits two branches of solutions, namely, the attractive and repulsive branches, with varying scattering length across the resonance. We calculate the energy spectrum, residue, and effective mass for each of the branches. We compare the polaronic energy with the energy of the dressed molecule and find that the molecular state is energetically favored when increasing the interaction strength. The critical interaction strength for the polaron-to-molecule transition will shift to the BCS side of the $p$-wave resonance as the effective range increases.
New validated spectrophotometric methods for the combined dosage form of Teneligliptin and Metformin

Three new spectrophotometric methods have been developed for the simultaneous determination of combined dosage forms of Teneligliptin and Metformin tablets. Simultaneous equation method (Method A), Q-analysis (Method B) and First derivative (Method C) spectrophotometric methods were developed for the quantification of Teneligliptin and Metformin in sodium hydroxide. Linearity was observed 1-100 µg/ml and 1-35 µg/ml in Method A; 1-60 µg/ml and 1-35 µg/ml in both Method B and Method C for Teneligliptin and Metformin respectively. All the methods were validated as per ICH guidelines and applied for the simultaneous determination of Teneligliptin and Metformin in tablets.
Galilean and Hamiltonian Monte Carlo

Galilean Monte Carlo (GMC) allows exploration in a big space along systematic trajectories, thus evading the square-root inefficiency of independent steps. Galilean Monte Carlo has greater generality and power than its historical precursor Hamiltonian Monte Carlo because it discards second-order propagation under forces in favour of elementary force-free motion. Nested sampling (for which GMC was originally designed) has similar dominance over simulated annealing, which loses power by imposing an unnecessary thermal blurring over energy.
Modelling postural discomfort perception using CHAID decision tree algorithm

Developing quantitative models that predict discomfort levels of working postures has been an important ergonomics research topic. Such modeling not only has practical applications, but also may serve as a useful research method to improve our understanding of the human postural discomfort perception process. While the existing models have focused on achieving high prediction accuracy, less attention has been given to model interpretability, which is vital for understanding a process through modeling. Research is needed to identify the model types or modeling methods that offer high interpretability as well as good prediction accuracy. The goal of this study was to evaluate the utility of the Chi-square Automatic Interaction Detector (CHAID) decision tree modeling method in developing postural discomfort prediction models. Ten individual-specific decision tree models were developed, which predicted overall upper-body discomfort from local body part discomfort ratings. The prediction models were found to achieve high prediction accuracy and interpretability. (150 words)
Nuclear statistical equilibrium equation of state with a parametrized Dirac–Brückner Hartree–Fock calculation

We calculate new equations of state (EOSs) for astrophysical simulations in the framework of the extended nuclear statistical equilibrium, in which we minimize the free energy density for the full ensemble of nuclei in a hot and dense stellar environment. To evaluate bulk and surface energies of heavy nuclei and free energies of uniformly distributed nucleons, we use fitting formulae for the interaction energies and single-nucleon potentials at zero temperature of a Dirac–Brückner Hartree–Fock (DBHF) theory, one of the modern approaches to describe homogeneous nuclear matter. We find that the DBHF EOS exhibits larger mass fractions for medium-mass nuclei and smaller mass fractions for the other nuclei than the EOS obtained using the variational method (VM), another modern model for homogeneous nuclear matter. This effect is due to the more deeply bound energy for symmetric nuclear matter and the larger symmetry energy encoded in the DBHF EOS. At supra-nuclear densities, the DBHF EOS exhibits characteristics of a larger free energy, a higher pressure, and a larger neutron chemical potential of neutron-rich matter, which lead to a larger radius of cold neutron stars than that obtained by the VM EOS.
An Inverse Spectral Problem for Sturm – Liouville Operators with Singular Potentials on Graphs with a Cycle

This paper is devoted to the solution of inverse spectral problems for Sturm – Liouville operators with singular potentials from class W−1 2 on graphs with a cycle. We consider the lengths of the edges of investigated graphs as commensurable quantities. For the spectral characteristics, we take the spectra of specific boundary value problems and special signs, how it is done in the case of classical Sturm – Liouville operators on graphs with a cycle. From the spectra, we recover the characteristic functions using Hadamard’s theorem. Using characteristic functions and specific signs from the spectral characteristics, we construct Weyl functions (m-function) on the edges of the investigated graph. We show that the specification of Weyl functions uniquely determines the coefficients of differential equation on a graph and we obtain a constructive procedure for the solution of an inverse problem from the given spectral characteristics. In order to study this inverse problem, the ideas of spectral mappings method are applied. The obtained results are natural generalizations of the well-known results of on solving inverse problems for classical differential operators.
Studying the Items of Morning Reports based on ISO 10015 Standard in Teaching Hospitals of Mashhad University of Medical Sciences, Iran

Background: Morning reports, along with clinical rounds and practical tutorials are common, useful, and valuableprocedures in clinical education.This method has standards that play an important role in helping the students in learning, when complete.The purpose of this study was to evaluate the effective items in morning reports of clinical wards of Mashhad University of Medical Sciences. Materials and Methods: This cross-sectional study was conducted from October 2016 until January2017inteaching hospitals in Mashhad University of Medical Sciences.The questionnaire in this studyincluded items evaluatingmorning report, based onISO10015Standard, with confirmed reliability and validity.In this questionnaire, 36 items affecting the quality of a morning report were evaluated. The questionnaires were completed by attending the morning report sessions of 18 clinical sections in educational hospitals and examining existing profiles. The obtained data was analyzed by SPSS softwareversion 16. Results: The results of this study showed that mean time of starting the morning report was 7:54 AM.Percentage of attendance of professors was 50%, assistants 61.1%,interns 77.8%, and externs 77.8%. The case being reviewed was selected by assistantorchiefassistantin 50% of cases based on common diseases; in 28% of cases, based on the patients' condition and according to the severity of the diseases, and in 22% based on the diseases mentioned in the course curriculum.Regarding effective environmental factors, the morning report was held away from the noise in 94.4% of cases, had a black/white board in 88.9%, dataprojectorin94.4% withmean room size of 70 m2.Mean numberof cases introduced at each session was 2.6 cases.In each session, the first presenter was an intern in 77.8% of cases and extern in 22.2% of cases.In none of the sessions, professors of pharmacologyor pathology were present and only in 16.7% of the sessions, radiology professors attended the sessions. Conclusion: Morning report had a goodcondition in internalandsurgical wards ofteaching hospitals of Mashhad University of Medical Sciences,butis still far fromstandard conditions.Thus,serious measures should be taken to standardize the morning reports in teaching hospitals.
Community Inclusion in PrEP Demonstration Projects : Lessons for Scaling Up [ version 2 ; peer review : 1 approved , 2 approved with reservations ]

Pre-exposure prophylaxis (PrEP) has emerged as a new HIV prevention strategy. A series of demonstration projects were conducted to explore the use of PrEP outside of clinical trial settings. Open Peer Review Reviewer Status Gates Open Research Page 1 of 27 Gates Open Research 2019, 3:1504 Last updated: 18 NOV 2020
Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations

Business model innovation is considered key for organizations to achieve sustainability. However, there are many problems involving the operationalization of business model innovation. We used a design science methodology to develop an artifact to assist business model innovation efforts. The artifact uses performance measurement indicators of the company’s business model, which are powered by Big Data analytics to endow customer-driven business model innovation. Then, we applied the artifact in a critical case study. The selected company is a fashion ecommerce that proposes a vegan and sustainable value using recycled plastic bottle yarn as raw material, and ensures that no material with animal origin is used. Our findings show that the artifact successfully assists a proactive and continuous effort towards business model innovation. Although based on technical concepts, the artifact is accessible to the context of small businesses, which helps to democratize the practices of business model innovation and Big Data analytics beyond large organizations. We contribute to the business model innovation literature by connecting it to performance management and Big Data and providing paths for its operationalization. Consequently, in practice, the proposed artifact can assist managers dealing with business model as a dynamic element towards a sustainable company.
Multi-residue analysis of 203 pesticides in strawberries by liquid chromatography tandem mass spectrometry in combination with the QuEChERS method

ABSTRACT Herein, a QuEChERS (quick, easy, cheap, effective, rugged, and safe) procedure together with liquid chromatography and tandem mass spectrometry was applied to the multi-residue analysis of 203 pesticides in strawberries. To reduce the amount of co-eluents, we compared several dispersive solid-phase extraction cleanup procedures and found that cleanup using octadecylsilane provided the best recoveries. Spiked-sample recoveries of 70–120% with relative standard deviations of <20% were obtained for all tested pesticides except for quinmerac. Matrix-matched calibration curves exhibited good linearities (R2 > 0.99), and the limits of quantification (LOQs) were lower than the maximum residue limits recommended by the European Commission and Korea Food and Drug Administration. The developed method was applied to real samples, revealing that their pesticide contents exceeded the corresponding LOQs. The obtained results demonstrate that octadecylsilane-based dispersive solid-phase extraction is a rapid and high-throughput cleanup procedure for the multi-residue analysis of pesticides in strawberries.
Investigação de similaridade entre programas para apoiar o teste de mutação

Context: The Mutation Analysis criterion – or, mutation testing – allows both the evaluation of test sets and the identification of faults present in the software. The criterion is considered effective, however has gaps in relation to its efficiency. Many cost reduction techniques have been presented however, the results yielded by these techniques are little generalizable to different groups of programs. Some studies in this context presented heuristics to calculate similarity between programs as a way to support cost reduction, but the calculation was not the central theme of the studies. Goals: This work investigated the similarity between programs, in the context of mutation testing of object-oriented programs, as primary information source to support the definition of a strategy to reduce the cost of the criterion. Methodology: The work included: (i) A literature research to characterize the similarity calculation in the presented context; (ii) The definition of a conceptual framework to apply similarity as a supportive technique for cost reduction strategies; and (iii) automation of the framework. The similarity is inferred through the clustering of CK metrics information. The tool also handles calculation and results from the employed cost reduction techniques; and (iv) An experiment and results analysis. Java classes were clustered and the values of mutation scores per operator of the classes and clusters were calculated. In the context of the One-Op cost reduction technique, the best candidate operators were compared between the generated groups and the classes individually. Results: As results, we have the description of similarity calculation in the presented context; a conceptual framework and respective support tool; and a experiment in 38 classes organized in 3 databases. Conclusion: The relevance of similarity was observed, thus allowing for further experiments involving operators obtained from similar programs to be applied to untested programs in the context of the criterion and strategy of cost reduction.