bluuebunny/crossref_metadata_2025 huggingface dataset:
Polymers Use as Mulch Films in Agriculture—A Review of History, Problems and Current Trends
Authors: Mansoor Zinnia , Tchuenbou-Magaia Fideline , Kowalczuk Marek , Adamus Grazyna , Manning Georgina , Parati Mattia , Radecka Iza , Khan Habib
Published: November 2022

The application of mulch films for preserving soil moisture and preventing weed growth has been a part of agricultural practice for decades. Different materials have been used as mulch films, but polyethylene plastic has been considered most effective due to its excellent mechanical strength, low cost and ability to act as a barrier for sunlight and water. However, its use carries a risk of plastic pollution and health hazards, hence new laws have been passed to replace it completely with other materials over the next few years. Research to find out about new biodegradable polymers for this purpose has gained impetus in the past few years, driven by regulations and the United Nations Organization’s Sustainable Development Goals. The primary requisite for these polymers is biodegradability under natural climatic conditions without the production of any toxic residual compounds. Therefore, biodegradable polymers developed from fossil fuels, microorganisms, animals and plants are viable options for using as mulching material. However, the solution is not as simple since each polymer has different mechanical properties and a compromise has to be made in terms of strength, cost and biodegradability of the polymer for its use as mulch film. This review discusses the history of mulching materials, the gradual evolution in the choice of materials, the process of biodegradation of mulch films, the regulations passed regarding material to be used, types of polymers that can be explored as potential mulch films and the future prospects in the area.
Design, Fabrication, and Application of Mini-Scaffolds for Cell Components in Tissue Engineering
Authors: Mironov Vladimir A. , Senatov Fedor S. , Koudan Elizaveta V. , Pereira Frederico D. A. S. , Kasyanov Vladimir A. , Granjeiro Jose Mauro , Baptista Leandra Santos
Published: November 2022

The concept of “lockyballs” or interlockable mini-scaffolds fabricated by two-photon polymerization from biodegradable polymers for the encagement of tissue spheroids and their delivery into the desired location in the human body has been recently introduced. In order to improve control of delivery, positioning, and assembly of mini-scaffolds with tissue spheroids inside, they must be functionalized. This review describes the design, fabrication, and functionalization of mini-scaffolds as well as perspectives on their application in tissue engineering for precisely controlled cell and mini-tissue delivery and patterning. The development of functionalized mini-scaffolds advances the original concept of “lockyballs” and opens exciting new prospectives for mini-scaffolds’ applications in tissue engineering and regenerative medicine and their eventual clinical translation.
Effects of Dynamic IMU-to-Segment Misalignment Error on 3-DOF Knee Angle Estimation in Walking and Running
Authors: Jiang Chao , Yang Yan , Mao Huayun , Yang Dewei , Wang Wei
Published: November 2022

The inertial measurement unit (IMU)-to-segment (I2S) alignment is an important part of IMU-based joint angle estimation, and the accurate estimation of the three degree of freedom (3-DOF) knee angle can provide practical support for the evaluation of motions. In this paper, we introduce a dynamic weight particle swarm optimization (DPSO) algorithm with crossover factor based on the joint constraint to obtain the dynamic alignment vectors of I2S, and use them to perform the quaternion-based 3-DOF knee angle estimation algorithm. The optimization algorithm and the joint angle estimation algorithm were evaluated by comparing with the optical motion capture system. The range of 3-DOF knee angle root mean square errors (RMSEs) is 1.6°–5.9° during different motions. Furthermore, we also set up experiments of human walking (3 km/h), jogging (6 km/h) and ordinary running (9 km/h) to investigate the effects of dynamic I2S misalignment errors on 3-DOF knee angle estimation during different motions by artificially adding errors to I2S alignment parameters. The results showed differences in the effects of I2S misalignment errors on the estimation of knee abduction, internal rotation and flexion, which indicate the differences in knee joint kinematics among different motions. The IMU to thigh misalignment error has the greatest effect on the estimation of knee internal rotation. The effect of IMU to thigh misalignment error on the estimation of knee abduction angle becomes smaller and then larger during the two processes of switching from walking to jogging and then speeding up to ordinary running. The effect of IMU to shank misalignment error on the estimation of knee flexion angle is numerically the largest, while the standard deviation (SD) is the smallest. This study can provide support for future research on the accuracy of 3-DOF knee angle estimation during different motions.
Leveraging Self-Attention Mechanism for Attitude Estimation in Smartphones
Authors: Brotchie James , Shao Wei , Li Wenchao , Kealy Allison
Published: November 2022

Inertial attitude estimation is a crucial component of many modern systems and applications. Attitude estimation from commercial-grade inertial sensors has been the subject of an abundance of research in recent years due to the proliferation of Inertial Measurement Units (IMUs) in mobile devices, such as the smartphone. Traditional methodologies involve probabilistic, iterative-state estimation; however, these approaches do not generalise well over changing motion dynamics and environmental conditions, as they require context-specific parameter tuning. In this work, we explore novel methods for attitude estimation from low-cost inertial sensors using a self-attention-based neural network, the Attformer. This paper proposes to part ways from the traditional cycle of continuous integration algorithms, and formulate it as an optimisation problem. This approach separates itself by leveraging attention operations to learn the complex patterns and dynamics associated with inertial data, allowing for the linear complexity in the dimension of the feature vector to account for these patterns. Additionally, we look at combining traditional state-of-the-art approaches with our self-attention method. These models were evaluated on entirely unseen sequences, over a range of different activities, users and devices, and compared with a recent alternate deep learning approach, the unscented Kalman filter and the iOS CoreMotion API. The inbuilt iOS had a mean angular distance from the true attitude of 117.31∘, the GRU 21.90∘, the UKF 16.38∘, the Attformer 16.28∘ and, finally, the UKF–Attformer had mean angular distance of 10.86∘. We show that this plug-and-play solution outperforms previous approaches and generalises well across different users, devices and activities.
An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment
Authors: Qureshi Waqar S. , Hassan Syed Ibrahim , McKeever Susan , Power David , Mulry Brian , Feighan Kieran , O’Sullivan Dympna
Published: November 2022

Road pavement condition assessment is essential for maintenance, asset management, and budgeting for pavement infrastructure. Countries allocate a substantial annual budget to maintain and improve local, regional, and national highways. Pavement condition is assessed by measuring several pavement characteristics such as roughness, surface skid resistance, pavement strength, deflection, and visual surface distresses. Visual inspection identifies and quantifies surface distresses, and the condition is assessed using standard rating scales. This paper critically analyzes the research trends in the academic literature, professional practices and current commercial solutions for surface condition ratings by civil authorities. We observe that various surface condition rating systems exist, and each uses its own defined subset of pavement characteristics to evaluate pavement conditions. It is noted that automated visual sensing systems using intelligent algorithms can help reduce the cost and time required for assessing the condition of pavement infrastructure, especially for local and regional road networks. However, environmental factors, pavement types, and image collection devices are significant in this domain and lead to challenging variations. Commercial solutions for automatic pavement assessment with certain limitations exist. The topic is also a focus of academic research. More recently, academic research has pivoted toward deep learning, given that image data is now available in some form. However, research to automate pavement distress assessment often focuses on the regional pavement condition assessment standard that a country or state follows. We observe that the criteria a region adopts to make the evaluation depends on factors such as pavement construction type, type of road network in the area, flow and traffic, environmental conditions, and region’s economic situation. We summarized a list of publicly available datasets for distress detection and pavement condition assessment. We listed approaches focusing on crack segmentation and methods concentrating on distress detection and identification using object detection and classification. We segregated the recent academic literature in terms of the camera’s view and the dataset used, the year and country in which the work was published, the F1 score, and the architecture type. It is observed that the literature tends to focus more on distress identification (“presence/absence” detection) but less on distress quantification, which is essential for developing approaches for automated pavement rating.
A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base
Authors: Guo Qi , Li Man , Wang Weilin , Liu Ying
Published: November 2022

In view of various security requirements, there are various security services in the network. In particular, DDoS attacks have various types and detection methods. How to flexibly combine security services and make full use of the information provided by security services have become urgent problems to be solved. This paper combines the reasoning ability of the malicious behavior knowledge base to realize the dynamic deployment of the service function chain and dynamic configuration of the security service function. The method feeds back the information generated by the security service to the knowledge base. After the analysis of the knowledge base, the service function chain path and the security service configuration policies are generated, and these policies will be dynamically distributed to the security service function. Finally, security services can be dynamically arranged for different network traffic, realizing the coordinated use of various security services and improving the overall detection rate of the network. The experimental results show that by arranging the paths under the UDP and the TCP, the overall detection rate of the network can reach 99% and 88%, respectively, indicating that it has a good overall detection performance for multiple distributed denial of service (DDoS) attacks.
A Wideband and Low-Power Distributed Cascode Mixer Using Inductive Feedback
Authors: Kim Jihoon
Published: November 2022

A wideband and low-power distributed cascode mixer is implemented for future mobile communications. The distributed design inspired by the distributed amplifier (DA) enables a mixer to operate in a wide band. In addition, the cascode structure and inductive positive feedback design allow high conversion gain with low-power consumption. The proposed mixer is fabricated using a 130 nm commercial complementary metal-oxide-semiconductor (CMOS) process. It consists of three cascode gain cells and operates with a drain voltage of 1.5 V and a gate voltage of 0.5 to 0.7 V. The fabricated mixer exhibits conversion gain of −2.9 to 3.1 dB at the radio frequencies (RFs) of 4 to 30 GHz and −1.9 to 0.4 dB at RFs of 54 to 66 GHz under the conditions of 8 to 10 dBm of local oscillator (LO) power and 650 MHz of intermediate frequency (IF). The LO-RF isolation is more than 15 dB over the entire measurement band (0.2 to 67 GHz) as the RF and LO signals are applied to different transistors owing to the cascode structure. The total power consumption is only within 12 mW, and the chip size is 0.056 mm2, making it possible to implement a compact mixer. The proposed mixer shows broadband characteristics covering from ultra-wideband (UWB) and the 28 GHz fifth-generation (5G) communication band to the 60 GHz wireless gigabit alliance (WiGig) band.
High-Accuracy Relative Pose Measurement of Noncooperative Objects Based on Double-Constrained Intersurface Mutual Projections
Authors: Gan Yu , Li Guangmin , Liu Guodong , Lu Binghui
Published: November 2022

Relative pose measurement for noncooperative objects is an important part of 3D shape recognition and motion tracking. The methods based on scanning point clouds have better environmental adaptability and stability than image-based methods. However, the discrete points obtained from a continuous surface are sparse, which leads to point-to-point dislocations in the overlapping area and seriously reduces the accuracy. Therefore, this paper proposed a relative-pose-measurement algorithm based on double-constrained intersurface mutual projections. First, the initial corresponding set was constructed using mutual projections between the areas with similar feature descriptors, and then the final corresponding set was determined through the rigid-transformation-consistency constraint to improve the accuracy of the matchings and achieve a high-accuracy relative pose measurement. In the Stanford dataset, the rotation error and translation error were reduced by 19.3% and 13.4%, respectively. Furthermore, based on the proposed evaluation method, which separated the error of the pose-measurement algorithm from that of the instrument, the experiments were carried out with a self-made swept-frequency interferometer. The rotation error was reduced by 39.8%, and the surface deviation was reduced by 4.9%, which further proved the advancement of the method.
Unstable Object Points during Measurements—Deformation Analysis Based on Pseudo Epoch Approach
Authors: Duchnowski Robert , Wyszkowska Patrycja
Published: November 2022

Deformation analysis or point movement checking is the basis for monitoring ground or engineering structures. There are several approaches to conducting deformation analysis, which differ from each other in measurement techniques or data processing. Usually, they are based on geodetic observables conducted in at least two epochs. As such measurements are not “immediate”, it might so happen that a point (or some points) displaces during measurement within one epoch. The point movements might be continuous or sudden. This study focuses on the latter case, where rockburst, mining damages, or newly formed construction faults might cause displacement. To study this, an observation set consisting of measurements performed before and after point displacements is needed. As the actual observation division stays unknown, this can be called pseudo epochs. Such a hypothetical observation set requires special estimation methods. In this work, we examined Msplit estimation and robust methods. The first approach’s advantage is that it provides two variants of the network point coordinates (before and after point movements), hence showing dynamic changes in the geodetic network. The presented empirical analyses confirm that Msplit estimation is a better choice that results in better and more realistic outcomes.
Automated Impact Damage Detection Technique for Composites Based on Thermographic Image Processing and Machine Learning Classification
Authors: Alhammad Muflih , Avdelidis Nicolas P. , Ibarra-Castanedo Clemente , Torbali Muhammet E. , Genest Marc , Zhang Hai , Zolotas Argyrios , Maldgue Xavier P. V.
Published: November 2022

Composite materials are one of the primary structural components in most current transportation applications, such as the aerospace industry. Composite material diagnostics is a promising area in the fight against structural damage in aircraft and spaceships. Detection and diagnostic technologies often provide analysts with a valuable and rapid mechanism to monitor the health and safety of composite materials. Although many attempts have been made to develop damage detection techniques and make operations more efficient, there is still a need to develop/improve existing methods. Pulsed thermography (PT) technology was used in this study to obtain healthy and defective data sets from custom-designed composite samples having similar dimensions but different thicknesses (1.6 and 3.8). Ten carbon fibre-reinforced plastic (CFRP) panels were tested. The samples were subjected to impact damage of various energy levels, ranging from 4 to 12 J. Two different methods have been applied to detect and classify the damage to the composite structures. The first applied method is the statistical analysis, where seven different statistical criteria have been calculated. The final results have proved the possibility of detecting the damaged area in most cases. However, for a more accurate detection technique, a machine learning method was applied to thermal images; specifically, the Cube Support Vector Machine (SVM) algorithm was selected. The prediction accuracy of the proposed classification models was calculated within a confusion matrix based on the dataset patterns representing the healthy and defective areas. The classification results ranged from 78.7% to 93.5%, and these promising results are paving the way to develop an automated model to efficiently evaluate the damage to composite materials based on the non-distractive testing (NDT) technique.
Slip Flow Analysis in an Experimental Chamber Simulating Differential Pumping in an Environmental Scanning Electron Microscope
Authors: Šabacká Pavla , Maxa Jiří , Bayer Robert , Vyroubal Petr , Binar Tomáš
Published: November 2022

This paper describes the combination of experimental measurements with mathematical–physical analysis during the investigation of flow in an aperture at low pressures in a prepared experimental chamber. In the first step, experimental measurements of the pressure in the specimen chamber and at its outlet were taken during the pumping of the chamber. This process converted the atmospheric pressure into the operating pressure typical for the current AQUASEM II environmental electron microscope at the ISI of the CAS in Brno. Based on these results, a mathematical–physical model was tuned in the Ansys Fluent system and subsequently used for mathematical–physical analysis in a slip flow regime on a nozzle wall at low pressure. These analyses will be used to fine-tune the experimental chamber. Once the chamber is operational, it will be possible to compare the results obtained from the experimental measurements of the nozzle wall pressure, static pressure, total pressure and temperature from the nozzle axis region in supersonic flow with the results obtained from the mathematical–physical analyses. Based on the above comparative analyses, we will be able to determine the realistic slip flow at the nozzle wall under different conditions at the continuum mechanics boundary.
A Generalized Robot Navigation Analysis Platform (RoNAP) with Visual Results Using Multiple Navigation Algorithms
Authors: Cheng Chuanxin , Duan Shuang , He Haidong , Li Xinlin , Chen Yiyang
Published: November 2022

The robotic navigation task is to find a collision-free path among a mass of stationary or migratory obstacles. Various well-established algorithms have been applied to solve navigation tasks. It is necessary to test the performance of designed navigation algorithms in practice. However, it seems an extremely unwise choice to implement them in a real environment directly unless their performance is guaranteed to be acceptable. Otherwise, it takes time to test navigation algorithms because of a long training process, and imperfect performance may cause damage if the robot collides with obstacles. Hence, it is of key significance to develop a mobile robot analysis platform to simulate the real environment which has the ability to replicate the exact application scenario and be operated in a simple manner. This paper introduces a brand new analysis platform named robot navigation analysis platform (RoNAP), which is an open-source platform developed using the Python environment. A user-friendly interface supports its realization for the evaluation of various navigation algorithms. A variety of existing algorithms were able to achieve desired test results on this platform, indicating its feasibility and efficiency for navigation algorithm analysis.
WPL-Based Constraint for 3D Human Pose Estimation from a Single Depth Image
Authors: Xing Huiqin , Yang Jianyu
Published: November 2022

Three-dimensional human pose estimation from depth maps is a fast-growing research area in computer vision. The distal joints of the human body are more flexible than the proximal joints, making it more difficult to estimate the distal joints. However, most existing methods ignore the difference between the distal joints and proximal joints. Moreover, the distal joint can be constrained by the proximal joint on the same kinematic chain. In our work, we model the human skeleton as the tree structure called the human-tree. Then, motivated by the WPL (weighted path length) in the data structure, we propose a WPL-based loss function to constrain the distal joints with the proximal joints in a global-to-local manner. Extensive experiments on benchmarks demonstrate that our method can effectively improve the performance of the distal joints.
Securing Dynamic Service Function Chain Orchestration in EC-IoT Using Federated Learning
Authors: Wang Shuyi , Yang Longxiang
Published: November 2022

Dynamic service orchestration is becoming more and more necessary as IoT and edge computing technologies continue to advance due to the flexibility and diversity of services. With the surge in the number of edge devices and the increase in data volume of IoT scenarios, there are higher requirements for the transmission security of privacy information from each edge device and the processing efficiency of SFC orchestration. This paper proposes a kind of dynamic SFC orchestration security algorithm applicable to EC-IoT scenarios based on the federated learning framework, combined with a block coordinated descent approach and the quadratic penalty algorithm to achieve communication efficiency and data privacy protection. A deep reinforcement learning algorithm is used to simultaneously adapt the SFC orchestration method in order to dynamically observe environmental changes and decrease end-to-end delay. The experimental results show that compared with the existing dynamic SFC orchestration algorithms, the proposed algorithm can achieve better convergence and latency performance under the condition of privacy protection; the overall latency is reduced by about 33%, and the overall convergence speed is improved by about 9%, which not only achieves the security of data privacy protection of edge computing nodes, but also meets the requirements of dynamic SFC orchestration.
CARA: Connectivity-Aware Relay Algorithm for Multi-Robot Expeditions
Authors: Abu-Aisheh Razanne , Bronzino Francesco , Salaün Lou , Watteyne Thomas
Published: November 2022

The exploration of unknown environments is an essential application of multi-robot systems, particularly in critical missions, such as hazard detection and search and rescue. These missions share the need to reach full coverage of the explorable space in the shortest time possible. To minimize the completion time, robots in the fleet must be able to reliably exchange information about the environment with one another. One of the main methods to expand coverage is by placing relays. Existing relay-placement algorithms tend to either require prior knowledge of the environment, or they rely on maintaining specific distances between the relays and the rest of the robots. These approaches lack flexibility and adaptability to the environment. This paper introduces the “Connectivity-Aware Relay Algorithm” (CARA), a dynamic context-aware relay-placement algorithm that does not require any prior knowledge of the environment. We compare CARA against a state-of-the-art distance-based relay-placement algorithm. Our results demonstrate that CARA outperformed the state-of-the-art algorithm in terms of the time to completion by a factor of 10 as it placed, on average, half the number of relays.
Balancing of Motor Armature Based on LSTM-ZPF Signal Processing
Authors: Dong Ruiwen , Li Mengxuan , Sun Ao , Lu Zhenrong , Jiang Dong , Chen Weiyu
Published: November 2022

Signal processing is important in the balancing of the motor armature, where the balancing accuracy depends on the extraction of the signal amplitude and phase from the raw vibration signal. In this study, a motor armature dynamic balancing method based on the long short-term memory network (LSTM) and zero-phase filter (ZPF) is proposed. This method mainly focuses on the extraction accuracy of amplitude and phase from unbalanced signals of the motor armature. The ZPF is used to accurately extract the phase, while the LSTM network is trained to extract the amplitude. The proposed method combines the advantages of both methods, whereby the problems of phase shift and amplitude loss when used alone are solved, and the motor armature unbalance signal is accurately obtained. The unbalanced mass and phase are calculated using the influence coefficient method. The effectiveness of the proposed method is proven using the simulated motor armature vibration signal, and an experimental investigation is undertaken to verify the dynamic balancing method. Two amplitude evaluation metrics and three phase evaluation metrics are proposed to judge the extraction accuracy of the amplitude and phase, whereas amplitude and frequency spectrum analysis are used to judge the dynamic balancing results. The results illustrate that the proposed method has higher dynamic balancing accuracy. Moreover, it has better extraction accuracy for the amplitude and phase of unbalanced signals compared with other methods, and it has good anti-noise performance. The determination coefficient of the amplitude is 0.9999, and the average absolute error of the phase is 2.4°. The proposed method considers both fidelity and denoising, which ensuring the accuracy of armature dynamic balancing.
Unitary Space-Time Modulation Based on Coherent Codes
Authors: Calabuig Daniel
Published: November 2022

This paper analyzes the relationship between pilot symbol-assisted modulation (PSAM) and unitary space-time modulation (USTM). In particular, we present a map that transforms any PSAM into a USTM and vice versa. USTMs are known to be capacity-achieving. However, most of the proposed USTM construction methods in the literature are computationally expensive, and the resulting constellations do not have a known structure that could simplify their decoding. Using the relationship between PSAM and USTM, and inspired by a graphical representation of these constellations used in this paper, we propose new USTM construction methods, which ensure that the USTM has a good performance compared to the corresponding PSAM, and a feasible construction and decoding, even for high data rates.
Pattern and Explanation of Inter-City Crime Variation in South Korea
Authors: Kim Hyunjoong , Seong Eunyoung
Published: November 2022

The primary purpose of this paper is to test the applicability of environmental criminology in South Korea. Moreover, it explores effective strategies from a spatial planning perspective by taking control of diverse spatial planning factors. The study area is South Korea, and the base year is 2016. A spatial econometric model is built to analyze the relationship between the built environment and three crimes (theft, violence, and sexual assault). As a result, the best spatial regression models for violent crime rate and sexual assault rate are a spatial error model (SEM) and a spatial autoregressive model (SAC), respectively. The most prominent finding is that the regression results in the three crimes are slightly different. The broken windows effect was negligible for significant crimes in South Korea. The influence of regional disorders on the incidence of crimes was marginal. In the three crime types, mixed land use affected rising crime rates, which aligns with some previous studies that mixed land use increases the likelihood of crime incidences. In contrast with a series of relevant works, brighter nighttime light has not effectively decreased crimes in South Korea. In South Korea, closed-circuit television (CCTV) did not play a role in deterring crimes. Lastly, socio-economic characteristics were closely connected with crime rates in South Korea. The theft rate, violent crime rate, and sexual assault rate confirm the reliability of environmental criminology. Although this study has examined the likelihood of applying environmental criminology, further research and discussions are followed for concrete plans.
Determination of the Stifle Angle at Standing Position in Dogs
Authors: Giansetto Thomas , Picavet Pierre P. , Lefebvre Michaël , Balligand Marc
Published: November 2022

Background: The cranial cruciate ligament rupture is one of the most common orthopaedic diseases encountered in dogs. Surgical techniques have been developed to stabilize the stifle, with an overall accepted benefit of tibial osteotomies among which is the tibial tuberosity advancement (TTA). Prior to surgery, the required TTA must be determined on a strict lateral radiographical view of the affected stifle with femur and tibia at an angle of 135° as initially recommended. This value, initially determined in only two dog breeds, has been considered the mean standard value of the canine stifle angle during the mid-stance phase. Methods: We sought to determine if this particular stifle angle around mid-stance phase was similar among multiple dog breeds. We built up a custom-made radiographic system for stifle angle measurement in standing dogs. Results: A mean value of stifle angle of 145° was obtained. Mean stifle angle at mid-stance phase in a healthy dog is regularly higher than 135° and is likely breed and individual dependent. Conclusions: The pre-operative measurement of the required TTA made on stifles in 145° extension, a value close to full physiological extension could contribute to decreasing the incidence of late post-operative meniscal lesion, consecutive to underestimation of TTA.
La conversación como herramienta pedagógica
Authors: Urrea-Henao Jairo , Rincón-Bermúdez Diego Fernando , Guerrero-Cortés Edwin Fernando , Zamudio-Realpe Alejandro
Published: November 2022

En la presente investigación se realiza un acercamiento al acto de conversar en el ámbito académico, para fortalecer las competencias comunicativas de los estudiantes de primer semestre de la Facultad de Ciencias Humanas y Bellas Artes de la Universidad del Quindío. Es pertinente aclarar que se trata de competencias transversales, es decir, su desarrollo es necesario en todas las áreas del conocimiento. Este trabajo se llevó a cabo en cuatro fases, en la primera se realizó el diagnóstico, en el cual se evidenciaron algunas falencias y fortalezas con respecto a la argumentación y a la comprensión, en la segunda se diseñaron las estrategias para el desarrollo de las competencias, en la tercera se implementó la propuesta de intervención. Finalmente, se realizó la evaluación, la cual fue positiva y se logró que los estudiantes fortalecieran sus competencias, interpretando, conversando e interactuando de manera crítica.
Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data
Authors: Hounkpatin Hilda , Stuart Beth , Zhu Shihua , Yao Guiqing , Moore Michael , Löffler Christin , Little Paul , Kenealy Timothy , Gillespie David , Francis Nick A , Bostock Jennifer , Becque Taeko , Arroll Bruce , Altiner Attila , Alonso-Coello Pablo , Hay Alastair D
Published: November 2022

Background

There is a lack of evidence regarding post-consultation symptom trajectories for patients with respiratory tract infections (RTIs) and whether patient characteristics can be used to predict illness duration.

Aim

To describe symptom trajectories in patients with RTIs, and assess baseline characteristics and adverse events associated with trajectories.

Design and setting

The study included data about 9103 adults and children from 12 primary care studies.

Method

A latent class-informed regression analysis of individual patient data from randomised controlled trials and observational cohort studies was undertaken. Post-consultation symptom trajectory (severity and duration), re-consultation with same or worsening illness, and admission to hospital were assessed.

Results

In total, 90% of participants recovered from all symptoms by 28 days, regardless of antibiotic prescribing strategy (none, immediate, and delayed antibiotics). For studies of RTI with cough as a dominant symptom (n= 5314), four trajectories were identified: ‘rapid (6 days)’ (90% of participants recovered within 6 days) in 52.0%; ‘intermediate (10 days)’ (28.9%); ‘slow progressive improvement (27 days)’ (12.5%); and ‘slow improvement with initial high symptom burden (27 days)’ (6.6%). For cough, being aged 16–64 years (odds ratio [OR] 2.57, 95% confidence interval [CI] = 1.72 to 3.85 compared with <16 years), higher presenting illness baseline severity (OR 1.51, 95% CI = 1.12 to 2.03), presence of lung disease (OR 1.78, 95% CI = 1.44 to 2.21), and median and above illness duration before consultation (≥7 days) (OR 1.99, 95% CI = 1.68 to 2.37) were associated with slower recovery (>10 days) compared with faster recovery (≤10 days). Re-consultations and admissions to hospital for cough were higher in those with slower recovery (ORs: 2.15, 95% CI = 1.78 to 2.60 and 7.42, 95% CI = 3.49 to 15.78, respectively).

Conclusion

Older patients presenting with more severe, longer pre-consultation symptoms and chronic lung disease should be advised they are more likely to experience longer post-consultation illness durations, and that recovery rates are similar with and without antibiotics.
Estudantes da EJA e o protagonismo escolar
Authors: Alves Ribeiro Holanda Stefani Tamires , Dos Santos Alencar Maria Fernanda
Published: November 2022

Este texto tem como objetivo compreender a participação dos sujeitos da Educação de Jovens e Adultos (EJA) no processo de escolarização evidenciando o protagonismo escolar. Neste estudo, o protagonismo escolar é analisado sob a perspectiva de Freire (1987) que o compreende como um movimento de tirar os educandos(as) da situação de sujeitos receptores, passivos, vistos como sem conhecimentos, negados e sem reconhecimento pelas instituições de ensino e colocá-los como centro da educação. Pesquisa de abordagem qualitativa, com uso da entrevista semiestruturada, traz resultados que apontam o trabalho como um fator determinante tanto para o afastamento escolar, como para o seu retorno. Fatores associados às questões familiares e de gênero também foram recorrentes na fala dos estudantes. Além de Freire (1987, 2001, 2011, 2015), contribuíram para este estudo Arroyo (2005, 2011, 2017); Gadotti (2011) e Souza (2003).
Ensaio sobre a importância da Educação Matemática Crítica na sociedade do conhecimento hodierna
Authors: Cabral dos Reis Júlio Paulo , Mendes Tomaz dos Santos Guilherme
Published: November 2022

O ensaio, de natureza qualitativa, apresenta uma reflexão sobre o papel e a importância da Educação Matemática Crítica (EMC) na atual sociedade do conhecimento para com a formação do sujeito e para o pleno exercício da cidadania. Contextualiza a EMC como tendência da Educação Matemática, bem como apresenta seus pressupostos e base epistemológica. Também reflete sobre as potencialidades da utilização de modelos matemáticos para a tomada de decisão, pautada em uma perspectiva crítico-reflexiva. Destaca a necessidade da incorporação da EMC como uma postura didático-pedagógica no contexto educacional e no processo de escolarização do estudante, uma vez que poderá refletir no desenvolvimento da criticidade e autonomia ao longo da vida.
Proposta de tecelagem artístico-reflexiva na preparação de equipes de Residência Pedagógica no Brasil
Authors: Feitosa Raphael Alves , Sarmento Teresa
Published: November 2022

Este manuscrito é um ensaio que apresenta proposta de atuação para núcleos do Programa de Residência Pedagógica brasileiro. Toma como base as horas endereçadas à preparação de equipes, com uma propositura que une formação e pesquisa, com vistas a colaborar com o direcionamento do planejamento de atividades e das ações desses núcleos, evocando a relevância da articulação entre a formação inicial de professores na universidade e as escolas em que atuarão os futuros educadores. O ensaio se enlaça pelas linhas e cores da literatura em torno de investigações narrativas, como máquina de tecelagem capaz de unir as linhas de formação de professores com inspiração na proposta de Vincent van Gogh para uma residência de artistas.
programa de residência pedagógica e o desafio de sustentação como política de formação de professores
Authors: De Fátima da Silva Lana Machado Luciana , Alves de Jesus Dedilene
Published: November 2022

A formação docente constitui-se como temática cara, tendo em vista sua relevância comprovada por meio de estudos no campo da educação. Assim, este artigo faz uma breve exposição das políticas nacionais de incentivo à docência, até a implementação do Programa Residência Pedagógica (RP), que busca trazer robustez à formação inicial de professores, com possibilidade de aperfeiçoar os tradicionais estágios. Esta tem como escopo construir propostas formativas em escolas públicas de educação básica, que dialoguem com a Base Nacional Comum Curricular, criando espaços abertos de interlocução com a comunidade escolar e evidenciando o tripé ensino, pesquisa e extensão. Para tal, foi realizada análise documental, a partir dos sites oficiais do governo federal e análise exploratória da proposta de implementação do RP por uma universidade pública mineira. Percebeu-se que o RP é promissor e busca minimizar a discrepância entre teoria e prática nos cursos de formação docente.
Residência pedagógica e os caminhos para docência
Authors: Victor da Silva Oliveira André , Aparecida Domingos Pinheiro Fernanda
Published: November 2022

O presente escrito trata da experiência de iniciação docente no Programa Residência Pedagógica, do subprojeto de História da Universidade da Integração Internacional da Lusofonia Afro-brasileira (Unilab). Analisa-se como tal prática contribuiu para a formação docente em meio às incertezas e anseios do primeiro contato com o ser professor(a).  Ambientado em municípios da região do Maciço de Baturité, no interior do Ceará, esta formação foi dividida em três ciclos, sendo cada um deles vivenciado em uma escola diferente, correspondendo aos níveis de ensino fundamental II e médio, incluindo uma escola de tempo integral. Esta experiência fortaleceu conhecimentos significantes sobre a ação no chão da escola em conexão com as diversas realidades, o que contribuiu para um aprendizado significativo, e possibilitou a promoção de uma consciência sobre a importância do ensino de História.
Gênero textual cantiga
Authors: Bessão de Assis Vivianny Bessão de Assis , Claudiane Ferreira Marta , Abreu Silva Danielle
Published: November 2022

Analisamos no artigo a experiência de um estudo, no campo da pesquisa-intervenção, com base na metodologia da problematização de Charles Maguerez em que o objetivo fora implementar e avaliar uma sequência didática com o gênero textual “cantiga”. Os dados foram produzidos com base nas atividades desenvolvidas em uma turma do 1º ano do Ensino Fundamental, na qual foram acompanhadas as possibilidades, concepções e limites de atuação. O trabalho com gêneros textuais justifica-se por tratar de uma proposta que visa contribuir com o processo de alfabetização na perspectiva do letramento. Os resultados demonstram que essa experiência oportunizou aos estudantes diferentes capacidades textuais e uma formação por meio de uma atitude leitora e produtora de textos (MELLO, 2012), permitindo que adentrassem no universo da cultura escrita por meio das práticas sociais observadas em suas famílias e acolhidas pela escola.
desafios do coordenador frente a formação de professores da educação infantil
Authors: Zanlorenzi Maria Josélia , Banczek Jane Cristina
Published: November 2022

Esse artigo tem por objetivo analisar os desafios do coordenador pedagógico frente à necessidade da formação continuada dos professores que atuam na educação infantil. Na metodologia utilizamos levantamento bibliográfico, estudo da legislação da educação e trabalho de campo, valendo-se de entrevista semiestruturada com uma coordenadora de um Centro de Educação Infantil (CEI) particular e uma supervisora de um Centro de Educação Infantil (CEI) de administração mista, parceria pública privada, ambas situadas no município de Guarapuava-PR. As principais referências utilizadas formam: Vygotsky (1989), Pimenta (1998; 2001; 2012), Libâneo (1999), Kishimoto (2001), Vasconcellos (2012), MELLO (2011) e Pinto (2011). Os resultados nos ajudaram a perceber que tanto a escola de administração mista quanto a instituição privada, vivenciam situações semelhantes no que diz respeito às limitações da formação inicial dos professores recém formados que chegam a essas instituições, o que torna ainda maior a responsabilidade dos coordenadores pedagógicos.
Compreensão sobre os sentidos atribuídos a boas práticas e práticas inovadoras por professores de educação física
Authors: Maffei Willer Soares
Published: November 2022

Mudanças na prática docente e política educacional causam marcos e marcas no ensino e na formação do profissional que atua na educação básica. Diante disso, este estudo objetiva compreender os sentidos atribuídos às boas práticas e práticas inovadoras por professores de Educação Física. Utiliza revisão e análise do Estado da Arte para busca, organização e análise dos dados. Os resultados mostram que a metáfora das boas práticas e da inovação na prática são historicizadas, contextualizadas e surgem da atitude questionadora e da intencionalidade docente. Considera-se que motivação, determinantes sócio-políticos, conhecimento teórico, competências, mudança nos referenciais, democratização das práticas da cultura e a experiência docente são fatores que contribuem para que os professores pensem diferente a Educação Física na escola.
Territórios Calungas
Authors: Noronha José Eduardo Gama , Tebet Gabriela Guarnieri de Campos
Published: November 2022

O presente texto é um recorte de uma dissertação de mestrado sobre processos educativos políticos e de subjetivação com crianças e jovens moradoras de territórios vulnerabilizados do município de São Vicente, a partir de sua participação em coletivos e ações do Instituto Camará Calunga. O objetivo do artigo é apresentar a noção de território como elemento importante dos processos de subjetivação, retratando o modo pelo qual crianças e jovens o experimentam e ocupam, mediadas ou não por figuras adultas, como familiares e educadores. A pesquisa traz cenas de períodos anteriores e durante a pandemia de COVID-19, destacando os efeitos desta na vida de crianças e jovens e em suas dinâmicas de ocupação dos territórios. A pesquisa se orientou pelo método cartográfico, realizada de modo virtual e presencial no contexto do trabalho vivo e a convivência cotidiana do primeiro autor com as crianças, jovens e educadores do Instituto e por meio de entrevistas semiestruturadas e registros escritos, como diários de campo.
Os espaços que nos habitam
Authors: ZANETTE MARCOS SUEL
Published: November 2022

Este texto tem como objetivo apresentar as concepções de espaços elaboradas pelos pensadores na história do pensamento ocidental, pelo fato de ser uma das categorias básicas fundamentais de orientação, localização e amparo da existência humana. Por isso, torna-se pertinente resgatar os conceitos do termo espaço que se tornaram matrizes teóricas de reflexões para os diversos campos acadêmicos que trabalham com a temática espaço.
“Será que é mágica?”
Authors: Salutto Nazareth
Published: November 2022

O artigo apresenta recorte de pesquisa de doutorado, que teve como centralidade observar, registrar, compreender especificidades das interações dos bebês no encontro com os livros de literatura infantil. Num primeiro momento, a pesquisa se dedicou a olhar para os bebês. Para tanto, construiu quatro categorias para observação interessada e análise de seus movimentos exploratórios e investigativos: relação, sutileza, reciprocidade e vínculo. Considerando tais questões, também buscou compreender: de que modo os adultos podem redimensionar perspectivas, olhares, propostas de interações com e entre bebês e livros? Assumindo que o bebê atua sobre objetos e situações a partir de sua condição de pessoa, a relação desponta-se como princípio que tece convites e abertura para o acolhimento dos bebês no seu processo de imersão no mundo, tendo a relação como princípio.
A memória além de sua materialização
Authors: Elissa Andrade Cardoso Lara
Published: November 2022

O legado patrimonial de uma nação nem sempre é visto de modo positivo pelos líderes políticos e, a partir disso, quando não há investimento nessa área, ela acaba ficando alheia. A comunidade que luta para preservar sua memória e/ou tradição, se vê desamparada em muitas das vezes, tais como nas incidências de tráfico ilícito de bens culturais, na falta de posicionamento do governo e órgãos especializados a sustentar o tombamento e a necessidade de preservação do patrimônio cultural. Diante disso, o presente artigo parte de uma premissa atemporal e visa reforçar a relevância do patrimônio histórico cultural enquanto soft power, em nível global, no intuito de elencar os temas identidade, coleção, cultura, memória, tradição, movimento, natureza e simbolismo, de modo a estabelecer pertinentes conexões frente à percepção de que está tudo interligado como uma grande malha constituindo um emaranhado de forças vitais.
Nagô, nagô, nagô
Authors: Xavier Filho José Luiz
Published: November 2022

Quando pensamos e trabalhamos África em sala de aula, explanamos algo como distante, do outro lado do oceano. Mas também precisamos entender que África também está aqui, nas nossas raízes históricas, no nosso sangue e pele, naquilo que comemos e principalmente naquilo que falamos. Este artigo nasceu de um projeto pedagógico chamado “Dicionário Afro-brasileiro”, vivenciado nas aulas de História, com turmas de 6º ao 9º do Ensino Fundamental dos Anos Finais, em uma escola de rede pública, objetivando ressignificar a contribuição dos negros e negras na construção do português brasileiro. Ressaltamos também importância da aplicação da Lei 10.639/2003 e sua efetivação em sala de aula. Entendemos que os docentes, junto aos alunos, devem somar, articular e proporcionar novos momentos de descoberta, socializar pesquisas e as elaborações feitas pelos discentes em forma de apresentação, via Google Meet.
O conceito de patrimônio nos discursos de Getúlio Vargas
Authors: Queiroz de Campos Filipe
Published: November 2022

Nos anos de 1930 e de 1940, a diplomacia patrimonial tornou-se parte dos projetos nacionalistas de diversas nações. Na América Latina e, mais especificamente no Brasil, esse processo não foi diferente. No caso do Brasil, porém, é possível enxergar, desde o início dos anos de 1930, com a chegada de Getúlio Vargas ao poder, um projeto político de incentivo ao patrimônio histórico. Esse incentivo esteve conectado às próprias estratégias políticas de Vargas, principalmente durante o governo do Estado Novo. É a respeito de quais foram essas estratégias que esse artigo se dedica. O estudo se esforça para compreender um pouco mais sobre essas estratégias, por meio da análise de discursos públicos de Getúlio Vargas.