Miracle-dz/UniFAR-FTUs huggingface dataset:
INTERVENÇÕES TEMPORÁRIAS COM AS CRIANÇAS DA VILA PINDURA SAIA: UMA ANÁLISE À LUZ DA TEORIA DA APRENDIZAGEM EXPERIENCIAL

Na era digital, marcada pelo acúmulo exponencial de conhecimentos e informações, o desenvolvimento de atividades que capacitam os estudantes a se posicionarem criticamente diante de diferentes realidades é um dos principais desafios do ensino superior. O objetivo deste trabalho é analisar as oportunidades oferecidas pelas intervenções temporárias no ensino de projeto à luz da teoria da aprendizagem experiencial. Para tanto, definiu-se como estudo de caso as intervenções temporárias realizadas pelos estudantes recém ingressos no curso de Arquitetura e Urbanismo da UFMG com as crianças da Vila Pindura Saia na Nossa Pracinha em Belo Horizonte (Minas Gerais), no segundo semestre de 2019. A análise das informações textuais e visuais contidas nos trabalhos desenvolvidos pelos estudantes demostraram que intervenções temporárias podem ser estruturadas para promover diferentes aprendizagens bem como contribuir para a formação de cidadãos capazes de atuar colaborativamente em prol da produção de cidades sustentáveis.
Deep Convolutional Autoencoder for Energy-efficient Smart Health Wearables In the Era of Big Data

Smart wearables, known as emerging paradigms for vital big data capturing, have been attracting intensive attention. However, one crucial problem is their power-hungriness, i.e., the continuous data streaming consumes energy dramatically and requires devices to be frequently charged. In this study, targeting this obstacle, we propose to investigate the biodynamic patterns in the data, and design a data-driven approach for intelligent data compression. We leverage deep learning, more specifically, Convolutional Autoencoder (CAE), to learn a sparse representation of the vital big data, thereby minimizing the power consumption of the communication module – the most power-hungry module in the wearable. The minimized energy need, even taking into consideration the CAE-induced overhead, is tremendously lower than the original energy need. Further, compared with state-of-the-art wavelet compression-based method, our method can compress the data with a dramatically lower error for a similar energy budget. Our experiments and the validated approach, are expected to boost the energy efficiency of wearables, and thus greatly advance ubiquitous big data applications in the era of smart health.
The Theory of Piezoelectric Shells and Plates

Statics and Dynamics of Piezoelectric Shells and Plates: Three-Dimensional Equations of Electroelasticity. Equations of the Theory of Piezoceramic Shells. The Method of Partitioning a Static Electroelastic State. Approximate Methods for Computing Free and Forced Vibrations of Electroelastic Shells. Some Dynamic Problems in the Theory of Piezoceramic Plates and Shells. Asymptotic Method as Applied to Electroelastic Shell Theory: Constructing Equations in the Theory of Piezoceramic Shells. The Theory of Electroelastic Boundary Layer. Interaction between the Internal Electroelastic State and the Boundary Layer. Some Problems of Boundary Layers.
An automated system with a versatile test oracle for assessing student programs

Automated program assessment systems have been widely adopted in many universities. Many of these systems judge the correctness of student programs by comparing their actual outputs with predefined expected outputs for selected test inputs. A common weakness of such systems is that student programs would be marked as incorrect as long as their outputs deviate from the predefined ones, even if the deviations are only minor, insignificant, and considered acceptable by a human assessor that the programs have satisfied the specifications. This critical weakness caused undue frustration to students and undesirable pedagogical consequences that undermine these systems’ benefits. To address this issue, we developed an improved mechanism for program output comparison to serve as a versatile test oracle that brings the results of automated assessment much closer to those of human assessors. We evaluated the new mechanism in real programming classes using an existing automated program assessment system. We found that the new mechanism achieved zero false‐positive error (did not wrongly accept any incorrect output) and very low (0%–0.02%) false‐negative error (that wrongly rejected correct outputs), with very high accuracy (99.8%–100%) in correctly recognizing outputs deemed acceptable by instructors. This represents a major improvement over an existing assessment mechanism, which had 56.4%–64.1% false‐negative error with an accuracy of 25.4%–40.9%. Moreover, about 67%–96% of students achieved their best results in their first attempt, which could be encouraging to them and reduce their frustration. Furthermore, students generally welcomed the new assessment mechanism and agreed it was beneficial to their learning.
De Novo Assembly of a Sarcocarp Transcriptome Set Identifies AaMYB1 as a Regulator of Anthocyanin Biosynthesis in Actinidia arguta var. purpurea

The kiwifruit (Actinidia arguta var. purpurea) produces oval shaped fruits containing a slightly green or mauve outer exocarp and a purple-flesh endocarp with rows of tiny black seeds. The flesh color of the fruit results from a range of anthocyanin compounds, and is an important trait for kiwifruit consumers. To elucidate the molecular mechanisms involved in anthocyanin biosynthesis of the sarcocarp during A. arguta fruit development, de novo assembly and transcriptomic profile analyses were performed. Based on significant Gene Ontology (GO) biological terms, differentially expressed genes were identified in flavonoid biosynthetic and metabolic processes, pigment biosynthesis, carbohydrate metabolic processes, and amino acid metabolic processes. The genes closely related to anthocyanin biosynthesis, such as phenylalanine ammonia-lyase (PAL), chalcone synthase (CHS), and anthocyanidin synthase (ANS), displayed significant up-regulation during fruit development according to the transcriptomic data, which was further confirmed by qRT-PCR. Meanwhile, a series of transcription factor genes were identified among the DEGs. Through a correlation analysis. AaMYB1 was found to be significantly correlated with key genes of anthocyanin biosynthesis, especially with CHS. Through a transient expression assay, AaMYB1 induced anthocyanin accumulation in tobacco leaves. These data provide an important basis for exploring the related mechanisms of sarcocarp anthocyanin biosynthesis in A. arguta. This study will provide a strong foundation for functional studies on A. arguta and will facilitate improved breeding of A. arguta fruit.
Near-Earth asteroid (3200) Phaethon. Characterization of its orbit, spin state, and thermophysical parameters

Context. The near-Earth asteroid (3200) Phaethon is an intriguing object: its perihelion is at only 0.14 au and is associated with the Geminid meteor stream. Aims. We aim to use all available disk-integrated optical data to derive a reliable convex shape model of Phaethon. By interpreting the available space- and ground-based thermal infrared data and Spitzer spectra using a thermophysical model, we also aim to further constrain its size, thermal inertia, and visible geometric albedo. Methods. We applied the convex inversion method to the new optical data obtained by six instruments and to previous observations. The convex shape model was then used as input for the thermophysical modeling. We also studied the long-term stability of Phaethon’s orbit and spin axis with a numerical orbital and rotation-state integrator. Results. We present a new convex shape model and rotational state of Phaethon: a sidereal rotation period of 3.603958(2) h and ecliptic coordinates of the preferred pole orientation of (319°, −39°) with a 5° uncertainty. Moreover, we derive its size ( D = 5.1 ± 0.2 km), thermal inertia (Γ = 600 ± 200 J m –2 s –1/2 K –1 ), geometric visible albedo ( p V = 0.122 ± 0.008), and estimate the macroscopic surface roughness. We also find that the Sun illumination at the perihelion passage during the past several thousand years is not connected to a specific area on the surface, which implies non-preferential heating.
Photonic Lanterns, 3-D Waveguides, Multiplane Light Conversion, and Other Components That Enable Space-Division Multiplexing

Four-mode multiplexing and manipulation technologies are reviewed in the context of space-division multiplexing (SDM) optical communication systems. These are multiplane light conversion (MPLC), fused fiber devices, such as photonic lanterns and tapered fiber bundles, 3-D waveguides fabricated using ultrafast laser inscription, and free-space imaging systems. Each device has its unique strengths and use cases. MPLC can create very complex transformations between two arbitrary sets of spatial modes and leverages mature gray-scale lithographic techniques. Photonic lanterns and tapered fiber bundles are all-fiber devices that can convert beams on single-mode fiber inputs into spatial modes. The all-fiber construction leads to very low losses and high-power handling. 3-D waveguides are inscribed into a glass block using ultrashort lasers and can arbitrarily route light in 3-D. Finally, free-space systems using lenses can also relay many multicore and multimode beams through a single free-space device, such as a thin film filter or an optical isolator. These four technologies have enabled hero transmission experiments in the multimode, multicore, and multimode fiber.
The qubit reveals a qubit-cavity system

We show that the coupling between a qubit and a single mode cavity can be estimated from the process tomography data for the qubit alone. All the parameters of the coupling Hamiltonian between the qubit and the cavity mode can be obtained from observations on the qubit. We also show that the variance matrix and the photon number statistics of the single mode cavity can be reconstructed. Our results provide an alternate means of obtaining the coupling and reconstructing the state of the cavity mode in comparison with the techniques presently used.
Cognitive and personality variables as predictors of sexism against women in Spanish adolescents

Previous research on the antecedents of sexism against women have not considered simultaneously the effects of sex, personality, and cognitive variables (need for closure and critical thinking disposition) in relation to sexism. We evaluated whether in adolescence, these indicators could predict sexist attitudes towards women using structural models. The sample comprised 709 Spanish high-school students (mean age = 16.79). 51.5% were female. Sex (being male), need for closure and critical thinking were the most relevant predictors of sexism. The disposition to think critically is as relevant as the motivational dimension of cognition (need for closure) to predict sexism. Multi-group structural models by sex were estimated, and a moderator effect was found between openness to experience and sexism. We suggest future lines of research to disentangle the effects of personality and cognition on sexism and to guide intervention programs to reduce sexist attitudes among adolescents.
Multi-Domain Approaches for the Solution of High-Frequency Time-Harmonic Propagation Problems

The numerical solution of high-frequency time-harmonic propagation problems by volumic discretization methods is a challenging task, most notably because of the very large size of the resulting linear systems. We present a framework for a class of iterative methods that distribute the work between several CPUs and exchange information between physical or artificial interfaces. The goal is to define subproblems of manageable sizes, and to exploit the power of parallel supercomputers. Furthermore, the framework comprises the possibility of adding another component, called a preconditioner, that aims at speeding up the convergence of the algorithms. We present two methods, that reduce the size of the subproblems in two different ways, either by defining them on smaller domains or by making them amenable to an alternative formulation that requires less fine meshes. We analyze their convergence and explore different preconditioning strategies.
Occupation Matters! A Multilevel Analysis of Organizational Trust in Professional Bureaucracies in the Healthcare Sector

Abstract This study investigates in the healthcare sector how occupation influences the relationship between organizational procedural justice and employees’ trust in the supervisor and in the organization. Drawing on the dual hierarchy model in professional bureaucracies, we adopt a multi-level approach and pay close attention to the influence of the occupational group and its immediate organizational context. Our results from five healthcare organizations reveal that the relationship between organizational procedural justice and trust in the organization is mediated by employees’ trust in the supervisor for both health professionals and support staff. On the occupational group level, occupation type predicts organizational procedural justice and trust in the organization, but not trust in the supervisor. Based on these findings, we insist that communication between occupation groups deserves more attention for building trust in professional bureaucracies.
On equivariant homeomorphisms of boundaries of CAT(0) groups and Coxeter groups (集合論的及び幾何学的トポロジーの現状とその展望)

A geometric action on a CAT(0) space is an action by isometries which is proper and cocompact. We note that every CAT(0) space $X$ on which some group $G$ acts geometrically is a proper space and we can consider its ideal boundary $\partial X$ (cf. [4], [11]). $A$ group $G$ is called a CAT(0) group, if $G$ acts geometrically on some CAT(0) space $X. $ It is well-known that if a Gromov hyperbolic group $G$ acts geometrically on two negatively curved spaces $X$ and $Y$ , then the natural quasi-isometry $\phi$ : $Gx_{0}arrow$
Soft Robots’ Dynamic Posture Perception Using Kirigami-Inspired Flexible Sensors with Porous Structures and Long Short-Term Memory (LSTM) Neural Networks

Soft robots can create complicated structures and functions for rehabilitation. The posture perception of soft actuators is critical for performing closed-loop control for a precise location. It is essential to have a sensor with both soft and flexible characteristics that does not affect the movement of a soft actuator. This paper presents a novel end-to-end posture perception method that employs flexible sensors with kirigami-inspired structures and long short-term memory (LSTM) neural networks. The sensors were developed with conductive sponge materials. With one-step calibration from the sensor output, the posture of the soft actuator could be calculated by the LSTM network. The method was validated by attaching the developed sensors to a soft fiber-reinforced bending actuator. The results showed the accuracy of posture prediction of sponge sensors with three kirigami-inspired structures ranged from 0.91 to 0.97 in terms of R2. The sponge sensors only generated a resistive torque value of 0.96 mNm at the maximum bending position when attached to a soft actuator, which would minimize the effect on actuator movement. The kirigami-inspired flexible sponge sensor could in future enhance soft robotic development.
Fish Consumption and Risk of Stroke in Chinese Adults: A Prospective Cohort Study in Shanghai, China

Present studies on the association of fish consumption with risk of stroke have shown controversial results, and this association within the Chinese population remains unknown. We aimed to investigate the association between fish consumption and incidence of total stroke, ischemic stroke and hemorrhagic stroke among adults in China. We analyzed the data of 57,701 adults aged 20–74 years, with no history of stroke, in a prospective cohort study in Shanghai. Fish consumption was calculated from a food frequency questionnaire at baseline and divided into four categories (less than 300, 300–450, 450–600 and more than 600 g/week). Participant information was linked to health information systems in which stroke event information was collected up until 31 December 2021. The hazard ratios (HR) and 95% confidence intervals (CI) of the associations of fish consumption with risk of total stroke, ischemic stroke and hemorrhagic stroke were estimated using cox proportional hazards regression models. Dose–response relationships were estimated using restricted cubic spline analyses. During a median follow-up of 4.56 years, 807 newly developed stroke events were ascertained, including 664 ischemic stroke events and 113 hemorrhagic stroke events. Fish consumption of 300–450 g/week was associated with a reduced risk of total stroke (HR: 0.78, 95% CI: 0.64–0.94) and ischemic stroke (0.70 (0.57–0.88)) compared with fish consumption of less than 300 g/week, after adjustment for comprehensive covariates including sociodemographic characteristics, lifestyle, dietary patterns and disease histories. No significant association was found between fish consumption and hemorrhagic stroke. The findings of our study support the consumption level of fish recommended in the dietary guidelines.
Isobavachalcone Induces Multiple Cell Death in Human Triple-Negative Breast Cancer MDA-MB-231 Cells

Standardized treatment guidelines and effective drugs are not available for human triple-negative breast cancer (TNBC). Many efforts have recently been exerted to investigate the efficacy of natural compounds as anticancer agents owing to their low toxicity. However, no study has examined the effects of isobavachalcone (IBC) on the programmed cell death (PCD) of human triple-negative breast MDA-MB-231 cancer cells. In this study, IBC substantially inhibited the proliferation of MDA-MB-231 cells in concentration- and time-dependent manners. In addition, we found that IBC induced multiple cell death processes, such as apoptosis, necroptosis, and autophagy in MDA-MB-231 cells. The initial mechanism of IBC-mediated cell death in MDA-MB-231 cells involves the downregulation of Akt and p-Akt-473, an increase in the Bax/Bcl-2 ratio, and cleaved caspases-3 induced apoptosis; the upregulation of RIP3, p-RIP3 and MLKL induced necroptosis; as well as a simultaneous increase in LC3-II/I ratio induced autophagy. In addition, we observed that IBC induced mitochondrial dysfunction, thereby decreasing cellular ATP levels and increasing reactive oxygen species accumulation to induce PCD. These results suggest that IBC is a promising lead compound with anti-TNBC activity.
Wavelet-based Adaptive Techniques Applied to Turbulent Hypersonic Scramjet Intake Flows

The simulation of hypersonic flows is computationally demanding due to large gradients of the flow variables caused by strong shock waves and thick boundary or shear layers. The resolution of those gradients imposes the use of extremely small cells in the respective regions. Taking turbulence into account intensives the variation in scales even more. Furthermore, hypersonic flows have been shown to be extremely grid sensitive. For the simulation of three-dimensional configurations of engineering applications, this results in a huge amount of cells and prohibitive computational time. Therefore, modern adaptive techniques can provide a gain with respect to computational costs and accuracy, allowing the generation of locally highly resolved flow regions where they are needed and retaining an otherwise smooth distribution. An h-adaptive technique based on wavelets is employed for the solution of hypersonic flows. The compressible Reynolds averaged Navier-Stokes equations are solved using a differential Reynolds stress turbulence model, well suited to predict shock-wave-boundary-layer interactions in high enthalpy flows. Two test cases are considered: a compression corner and a scramjet intake. The compression corner is a classical test case in hypersonic flow investigations because it poses a shock-wave-turbulent-boundary-layer interaction problem. The adaptive procedure is applied to a two-dimensional confguration as validation. The scramjet intake is firstly computed in two dimensions. Subsequently a three-dimensional geometry is considered. Both test cases are validated with experimental data and compared to non-adaptive computations. The results show that the use of an adaptive technique for hypersonic turbulent flows at high enthalpy conditions can strongly improve the performance in terms of memory and CPU time while at the same time maintaining the required accuracy of the results.
Disinformation as a context-bound phenomenon: toward a conceptual clarification integrating actors, intentions and techniques of creation and dissemination

Although disinformation has become a popular concept, we lack an integrative conceptualization that connects the actors, intentions and techniques underlying deceptive information. In this article, we conceptualize disinformation as a context-bound deliberate act for which actors covertly deceive recipients by de-contextualizing, manipulating or fabricating information to maximize utility with the (targeted) outcome of misleading recipients. This conceptualization embeds fragmented accounts of disinformation in a networked and participatory information logic, and offers a comprehensive account of the conditions under which different actors may decide to deceive, how they deceive, and what they aim to achieve by deceiving recipients. Our conceptualization may inform (machine-learning) techniques to detect disinformation and interventions that aim to trigger suspicion by breaking through the truth-default state.
A correction to collision rates of droplets in turbulent flows

This paper makes a correction to the collision rates of small droplets in turbulent fluid derived by Saffman and Turner(1956). Not only the distortion but also the rotation of the fluid is taken into account between two close droplets. A rotation reference is fixed on one drop, and the fluxes of the other drops moving towards the fixed one are carried out based on this new reference. The behaviors of turbulent flow are analyzed within the smallest eddies under the rotation reference, and a correction is made to the collision rates by multiplying a factor sqrt(2).
Persepsi Mahasiswa Program Studi S1 Akuntansi terhadap Praktikum Audit Command Language di Laboratorium Akuntansi STIE IBS

Penelitian ini bertujuan untuk mengetahui persepsi mahasiswa terhadap pelaksanaan praktikum audit com-mand language yang diikuti oleh 105 mahasiswa program studi akuntansi yang sedang mengikuti perkulia-han auditing II. Metode penelitian yang digunakan adalah studi kasus pada laboratorium akuntansi dengan menggunakan yang dikumpulkan melalui google form dari peserta yang mengikuti praktikum Audit Com-mand Language. Hasil penelitian menunjukkan persepsi mahasiswa cukup tinggi untuk varibel yang diteliti Perceived Usefulness, Perceived Ease of Use dan Intension To Use dalam penggunaan Audit Command Language. Perceived Usefulness dan Perceived Ease of Use secara simultan memiliki pengaruh yang sig-nifikan terhadap variabel Intension To Use di dalam penggunaan Audit Command Language di kalangan mahasiswa STIE Indonesia Banking School.
Traveling Waves in a Three Species Competition-cooperation System

This paper studies the traveling wave solutions to a three species competition cooperation system. The existence of the traveling waves is investigated via monotone iteration method. The upper and lower solutions come from either the waves of KPP equation or those of certain Lotka Volterra system. We also derive the asymptotics and uniqueness of the wave solutions. The results are then applied to a Lotka Volterra system with spatially averaged and temporally delayed competition.