Special Strategies Research Articles

HIV/AIDS-related knowledge and attitudes towards HIV rapid testing among Chinese college students: Findings from a cross-sectional survey

Data of the awareness level of college students in China about Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) knowledge are limited. Also, the attitudes towards HIV rapid testing remain unknown among this population. Therefore, this study aimed to evaluate the awareness of HIV/AIDS knowledge and attitudes towards HIV rapid testing among Chinese college students. An online cross-sectional survey was performed in 2020. A total of 1,474 participants were finally included. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to examine associated factors for the cognitive levels and attitudes by multivariable logistic regression. Spearman rank correlation was used to examine the relationship between HIV/AIDS-related knowledge and attitudes. About 91% of participants had a high cognitive level on HIV/AIDS-related knowledge and 84.7% held a positive attitude towards the HIV rapid testing. Postgraduates (OR=1.75, 95% CI: 1.16-2.66) and females (OR=1.69, 95% CI: 1.13-2.52) were more knowledgeable. Females' attitudes towards the HIV rapid testing were more positive (OR=1.91, 95% CI: 1.40-2.62). Moreover, the knowledge was positively correlated with attitudes towards the rapid testing (Spearman r=0.14, p<0.001). In conclusion, the Chinese college students had a high cognitive level on HIV/AIDS knowledge and positive attitudes towards HIV rapid testing. A high cognitive level of knowledge paralleled with positive attitudes. Special strategies such as tailored education via HIV/AIDS curriculum and awareness campaigns are needed for undergraduates and male students to minimize the gaps regarding HIV/AIDS-related knowledge and attitudes.

Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design

In this study, an optimisation tool that uses the differential evolution algorithm with a special distribution strategy is designed for the first time to be used in the optimisation of hybrid renewable energy systems. The developed tool and the hybrid optimisation model for multiple energy resources (HOMER) optimisation programme were compared. The tool is much faster than the HOMER programme and can produce almost the same results as HOMER. In addition, a heuristic-based optimisation technique was used for the first time to generate extremely comprehensive findings. The capacity shortage parameter, which is not used much in the literature, is used as a reliability parameter. The cost of energy (COE) was used as the cost function. The results are promising for detailed optimisation studies in this area.

Attention Weighted Local Descriptors.

Local features detection and description are widely used in many vision applications with high industrial and commercial demands. With large-scale applications, these tasks raise high expectations for both the accuracy and speed of local features. Most existing studies on local features learning focus on the local descriptions of individual keypoints, which neglect their relationships established from global spatial awareness. In this paper, we present AWDesc with a consistent attention mechanism (CoAM) that opens up the possibility for local descriptors to embrace image-level spatial awareness in both the training and matching stages. For local features detection, we adopt local features detection with feature pyramid to obtain more stable and accurate keypoints localization. For local features description, we provide two versions of AWDesc to cope with different accuracy and speed requirements. On the one hand, we introduce Context Augmentation to address the inherent locality of convolutional neural networks by injecting non-local context information, so that local descriptors can "look wider to describe better". Specifically, well-designed Adaptive Global Context Augmented Module (AGCA) and Diverse Surrounding Context Augmented Module (DSCA) are proposed to construct robust local descriptors with context information from global to surrounding. On the other hand, we design an extremely lightweight backbone network coupled with the proposed special knowledge distillation strategy to achieve the best trade-off in accuracy and speed. What is more, we perform thorough experiments on image matching, homography estimation, visual localization, and 3D reconstruction tasks, and the results demonstrate that our method surpasses the current state-of-the-art local descriptors. Code is available at:https://github.com/vignywang/AWDesc.

The Exploratory Study of Normalized Indicator of Heat Vulnerability Index (HVI) By Using Functional Relationship

Extreme urban heat, a major environmental stressor caused by urbanisation, poses a substantial hazard to human health and well-being. The environmental, demographic, and health-related risk factors for heat stress must be identified as the urban population grows. As a result, this study provides insight into city people’ heat susceptibility and its extent at the district level. This examination was carried out using a multivariate index that included evaluations of the exposure, sensitivity, and coping ability components. Using nine indicators for three different characteristics, this study examined data on the spatial distribution from diverse sources such as satellite imaging processing and quantitative analysis output. This study employed a normalised indicator method that used functional relationships to normalise all of the indicators in the unit or a scale-free method. The index’s value of each parameter is then processed using weightage formula. Kuala Lumpur district has been rated as the most vulnerable to heat, followed by Petaling and Hulu Langat, according to the heat vulnerability index produced. The findings demonstrated a regional pattern of heat vulnerability, with significant differences between individual spatial indexes. While exposure and adaptive capacities have a distinct regional pattern, sensitivity has a more complicated spatial pattern. All factors were statistically significant as markers in the development of the heat vulnerability index, according to this study. In a highly dynamic metropolitan region, these criteria can be used for both urban planning and suggesting special strategies to reduce heat dangers.

The Cluster Virtual Observatory for ULF Waves

AbstractSince its launch in 2000, the Cluster fleet visited a vast domain of the circum‐terrestrial environment, from the upstream solar wind and the distant tail, down to the plasmasphere, scanning in detail all magnetospheric regions during over two solar cycles. This led to an unprecedentedly rich data collection of multi‐point measurements which will be used for years to come to decipher the mechanisms of Solar‐Terrestrial interactions. The large volume of data gathered by Cluster requires special strategies to make efficient use of it. To address this issue we constructed a browsable database containing parameters of the detected Ultra low frequency waves and of the spacecraft formation geometry. The primary data used to derive the parameters are the magnetic field, the electric field and the electron density. The data is resampled to a cadence of 1 s and processed using a sliding analysis window of 2,048 s with a step of 256 s over 24 hr intervals. This results in time‐frequency arrays for each parameter covering the 0.5 mHz to 0.5 Hz frequency range. The database is accessible at http://plasma.spacescience.ro/cluster.html. In total there are 47 wave parameters in the database, among them being the ellipticity, the degree of polarization, the (unsigned) wave vector direction, and the Poynting vector. Plots for the planarity, elongation, and degeneration of the Cluster tetrahedron are also available. At the moment, the database covers measurements made between 01 January 2001 and 31 December 2020 with more data being added in time. Here we present this database, discuss the methods used to derive the parameters and give practical examples.

The Regional Innovation System and Smart Specialisation in the “energy region” Lusatia

Lusatia, a rural-peripheral region in Eastern Germany, currently faces structural change due to the planned phase-out of lignite mining. Against the backdrop of the EU Smart Specialisation (S2) strategy, structural change funds need to be invested where it can strengthen Lusatia’s Regional Innovation System (RIS). With Lusatia’s history, energy seems a promising topic S2. However, it is questionable if there is a critical mass of actors and research for energy topics in the region that could enable regional competitiveness. This paper addresses this issue by analysing the current state of Lusatia’s RIS and the potentials for S2. I use empirical data from statistical offices and the “Förderkatalog” as well as data on new research projects and institutes for my analysis. The gathered data suggest that the region’s RIS is rather thin. While the proclaimed image of an “energy region” is not reflected in the data yet, this may change due to the structural change program and the strategic orientation of the region. S2 may be successful if the new institutes and research projects enable the attraction of skilled workers and firms and at the same time manage to increase the absorption capacity of existing firms in the region. Building a critical mass for cooperation and innovation is achievable, at least in the larger cities such as Cottbus. Monitoring and evaluation of the impacts of the invested funds will be crucial.

Implementation of Special Autonomy Policy in Papua Province

A phenomenon that is made object research is the implementation of the special autonomy policy in increasing the Human Development Index (IPM) in Papua Province. The research objectives are (1) to Analyze the Implementation of special autonomy policy in increasing HDI; (2) to Analyze the constraints of implementing special autonomy policy in increasing HDI; (3) to Develop a strategy for implementing special autonomy policy in increasing HDI. This research uses a qualitative research approach. Research informants as many as 4 people determined by snowball technique. Secondary data collection using literature study; primary data collection using interview and observation techniques. Data analysis used descriptive analysis which was developed by triangulation analysis of observers. The results of the study are as follows: The implementation of the special autonomy policy in increasing the Human Development Index in Papua Province has not been optimal, as theoretically shows limitations of policy implementation in fulfilling the interests of the parties affected; types of benefits received; expected rate of change; decision-making position; program executor; and resource commitment; as well as weakness in anticipation the strength of the actors involved; the interests of the actors involved; the strategy of the actors involved; regime and institutional characteristics; obedience; and responsiveness. Practically, the implementation of the special autonomy policy in increasing the Human Development Index in Papua Province is not optimal, because the data shows that the Human Development Index for Papua is still low. Obstacles to the implementation of the special autonomy policy in increasing HDI include structural constraints, cultural constraints, and conditional constraints. The strategic model that can be developed from discussing the implementation of the special autonomy policy in increasing the HDI in Papua Province is ASOCA Special Autonomy Strategy Model

Stress and Coping Mechanism among Nurses Working at Nobel Medical College Teaching Hospital Nepal during Covid 19 Pandemic

Introduction: Novel Corona Virus (SARS-CoV-2) is a highly contagious respiratory disease caused by a severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). Nurses at the frontline of caring for COVID-19 patients are sure to face frequent experiences of mental health challenges. Hence they need special supportive coping strategies to control and reduce their stress.&#x0D; Objective: The aim of this study was to identify level of stress and coping mechanisms used to deal with stress among nurses at Nobel Medical College and Teaching Hospital, Biratnagar, Nepal.&#x0D; Methodology: A cross-sectional study was conducted from August 2021 to February 2022. A total of 300 nurses were selected by using a non-probability consecutive sampling technique. Ethical clearance was taken from the Institutional Review Committee of Nobel Medical College and IRC Registration Number 505/2021. Data was collected by using self-administered questionnaire. The collected data were entered in MS Excel and statistical analysis were processed by the SPSS Version 23. Chi-square test was used to show the association between variables.&#x0D; Results: The findings of the study revealed that out of 300 nurses 91.7% nurses reported moderate and 5.3% reported high level of stress and 92% of nurses used moderate level of coping strategies and only 3.3% of nurses used high level of coping strategies to reduce perceived stress. There was statistically significant association of stress in nurses with marital status, duty schedule and monthly income. Likewise, there was a significant association between living condition of the nurses and coping strategies.&#x0D; Conclusion: The research finding showed all working nurses having some level of stress during the COVID-19 Pandemic. Moreover, about 96% nurses having moderate or high level of stress and in contrast they were also following moderate level of coping strategies. However, they need high level of coping strategies to overcome the persisting stress level.

Unlocking Cowpea's Defense Responses: Conserved Transcriptional Signatures in the Battle against CABMV and CPSMV Viruses.

Cowpea aphid-borne mosaic virus (CABMV) and Cowpea severe mosaic virus (CPSMV) threaten cowpea commercial production. This study aimed to analyze Conserved Transcriptional Signatures (CTS) in cowpea's genotypes that are resistant to these viruses. CTS covered up- (UR) or down-regulated (DR) cowpea transcripts in response to CABMV and CPSMV mechanical inoculations. The conservation of cowpea's UR defense response was primarily observed with the one hpi treatments, with decreased CTS representatives as time elapsed. This suggests that cowpea utilizes generic mechanisms during its early interaction with the studied viruses, and subsequently employs more specialized strategies for each viral agent. The potential action of the CTS-UR emphasizes the importance of redox balance, ethylene and jasmonic acid pathways. Additionally, the CTS-UR provides evidence for the involvement of R genes, PR proteins, and PRRs receptors-extensively investigated in combating bacterial and fungal pathogens-in the defense against viral inoculation. AP2-ERF, WRKY, and MYB transcription factors, as well as PIP aquaporins and MAPK cascades, also emerged as significant molecular players. The presented work represents the first study investigating conserved mechanisms in the cowpea defense response to viral inoculations, highlighting relevant processes for initial defense responses.

Untangling the causal mechanisms and spatial dynamics of digital financial development's impact on energy intensity: insights from panel data of Chinese provinces.

The prime focus of the present investigation delves into the linkage between digital financial services and energy intensity within the geographic confines of China, utilizing provincial-level panel data spanning from 2011 to 2021. Digital finance has rapidly developed due to changes in information technology, and its role in achieving green transformation, reducing energy consumption, and lowering energy intensity in Chinese society is critical. By conducting empirical analysis utilizing diverse models, we have tested our hypotheses and found that digital finance's improvement can contribute to the reduction in energy intensity at the regional level while still considering endogeneity concerns. This effect is mediated by the promotion of technological innovation and the facilitation of green development in industries. Digital finance's impact on energy intensity is contingent upon resource endowments, such as the level of traditional financial development and the degree of information. Moreover, digital finance's adverse impact on energy intensity becomes more pronounced beyond certain threshold values. However, digital finance can increase energy intensity in neighboring regions through spatial spillover effects. Drawing upon our findings, we recommend bolstering the development of digital finance, augmenting the capability for autonomous innovation, and devising specialized strategies for digital finance advancement to fully harness the potential of digital finance in curbing energy intensity. This study interprets the value of digital finance from the new perspective of energy intensity. By exploring the internal links between digital finance and energy intensity, the study enriches the research results on the impact of digital finance on energy intensity.

EFFECTIVENESS OF ONLINE VIDEO GAMES IN CINEMATHERAPY TO IMPROVE STUDENT'S PROSOCIAL BEHAVIOR

The problem discussed in this Literature Review is the effectiveness of online video games in cinematherapy to improve students' prosocial behavior. Students as agents of change and the nation's next generation have big responsibilities in the future. Instilling positive social interaction behavior in the form of prosocial can provide benefits both for individuals and for the community environment where students take shelter. The need for prosocial behavior is of course also directly proportional to the need for special strategies in the form of treatment to increase prosocial behavior. Online video games, which are currently quite loved by teenagers, are known to improve a person's skills, including prosocial behavior. The atmosphere of online games that are formed in such a way for players to carry out prosocial activities can inspire players to also carry out prosocial behavior in the real world. Films in Cinematherapy which also display various symbolic modeling messages can also convey various implied information about prosocial behavior. The combination of online video games and cinematherapy to provide various scenes and symbolic messages to the players can increase prosocial behavior for students.

Evaluation of the Effectiveness of Strategies for Developing Mathematical Problem-Solving Abilities

This research aims to evaluate the effectiveness of strategies for developing mathematical problem-solving abilities at certain educational levels. Mathematical problem-solving is a critical skill required in various contexts of daily life and has a significant impact on the ability to understand mathematical concepts. The research method involved two groups of students, namely the control group and the treatment group. The control group followed conventional learning, while the treatment group was given special development strategies to improve mathematical problem-solving abilities. Research instruments include problem-solving tests, observations, and questionnaires. Data analysis was carried out through statistical techniques, including descriptive analysis and hypothesis testing. The research results showed that the group of students who applied the development strategy experienced a significant increase in mathematical problem-solving abilities compared to the control group. This research contributes to the practical understanding of the effectiveness of strategies for developing mathematical problem-solving abilities in specific educational environments. The implications of this research can be used as a guide to improve learning approaches in the context of developing mathematical problem-solving abilities at the relevant educational level.

Virus–pathogen interactions improve water quality along the Middle Route of the South-to-North Water Diversion Canal

Bacterial pathogens and viruses are the leading causes of global waterborne diseases. Here, we discovered an interesting natural paradigm of water “self-purification” through virus–pathogen interactions over a 1432 km continuum along the Middle Route of the South-to-North Water Diversion Canal (MR-SNWDC) in China, the largest water transfer project in the world. Due to the extremely low total phosphorus (TP) content (ND-0.02 mg/L) in the MR-SNWDC, the whole canal has experienced long-lasting phosphorus (P) limitation since its operation in 2015. Based on 4443 metagenome-assembled genomes (MAGs) and 40,261 nonredundant viral operational taxonomic units (vOTUs) derived from our recent monitoring campaign, we found that residential viruses experiencing extreme P constraints had to adopt special adaptive strategies by harboring smaller genomes to minimize nucleotide replication, DNA repair, and posttranslational modification costs. With the decreasing P supply downstream, bacterial pathogens showed repressed environmental fitness and growth potential, and a weakened capacity to maintain P acquisition, membrane formation, and ribonucleotide biosynthesis. Consequently, the unique viral predation effects under P limitation, characterized by enhanced viral lytic infections and an increased abundance of ribonucleotide reductase (RNR) genes linked to viral nuclear DNA replication cycles, led to unexpectedly lower health risks from waterborne bacterial pathogens in the downstream water-receiving areas. These findings highlighted the great potential of water self-purification associated with virus–pathogen dynamics for water-quality improvement and sustainable water resource management.

Medicial Education Strategy In The Era of Digitalization and Disruption

Background: This article aims to (1) examine the current condition of education in the digitalization and disruption era and (2) examine medical education strategies in the digitalization and disruption era. Writing scientific papers is based on library research, whose object of study uses library data in the form of books as a data source.Content: Based on the literature review, it was found that: (1) global medical education currently uses the SPICES strategy (student-centered learning, problem-based, integrated, community-based, elective, and systematic), accompanied by nine educational trends; (2) SPICES is a medical education strategy that will produce graduate profiles that refer to World Health Organization (WHO) and World Organization of Family Doctor (WONCA) conference agreements. A doctor must have six-star doctor characteristics, namely: care provider, decision makers, communicators, community leaders, managers as well as creators and innovators; (2) the minimum standard of competence for doctors in Indonesia, constitute of seven areas of graduate competency namely; has noble professionalism, is always aware and develops himself, can communicate effectively, is reliable in managing information, always has a scientific basis in medical science, has clinical skills and can manage health problems well.Conclusion: A special strategy for medical education is required in the era of digitalization and disruption by applying a lifelong education approach. Indonesian medical education uses the SPICES strategy to create six-star doctors and master the seven defined competency areas.

Stuck in a corner: Anthropogenic noise threatens narwhals in their once pristine Arctic habitat.

Niche-conservative species are especially susceptible to changes in their environment, and detecting the negative effects of new stressors in their habitats is vital for safeguarding of these species. In the Arctic, human disturbance including marine traffic and exploration of resources is increasing rapidly due to climate change-induced reduction of sea ice. Here, we show that the narwhal, Monodon monoceros, is extremely sensitive to human-made noise. Narwhals avoided deep diving (> 350 m) with simultaneous reduction of foraging and increased shallow diving activity as a response to either ship sound alone or ship sound with concurrent seismic airgun pulses. Normal behavior decreased by 50 to 75% at distances where received sound levels were below background noise. Narwhals were equally responsive to both disturbance types, hence demonstrating their acute sensitivity to ship sound. This sensitivity coupled with their special behavioral-ecological strategy including a narrow ecological niche and high site fidelity makes them thus especially vulnerable to human impacts in the Arctic.

Diet and Nutritional Status of Polish Girls with Rett Syndrome-A Case-Control Study.

(1) Background: Rett syndrome may be considered a disease strongly associated with nutritional disorders that are likely to require special management strategies, extending beyond what is usually required for children with other developmental disorders. The aim of the study was to assess the nutritional status and diet of Polish girls with Rett syndrome. (2) Methods: Each patient (study group = 49, control group = 22) underwent anthropometric measurements, including body weight and height, waist, hip and arm circumference, and skinfold measurement. The assessment of the diet was based on the analysis of 7-day menus and the Food Frequency Questionnaire (FFQ-6). Data were analyzed using Statistica 13.3. (3) Results: The majority of the girls with Rett syndrome were deficient in weight and height, and consumed fewer calories, less protein, dietary fiber, calcium, and iron than the control group. They also drank less fluid. Soft products that were easy to chew and considered to be high in energy value were significantly more common in the menus. (4) Conclusions: Girls with Rett syndrome are characterized by weight deficiencies, poor growth that deteriorates with age, and are at risk of food shortages. Various nutritional intervention strategies should be explored to reduce and, if possible, prevent malnutrition and cachexia in such patients.

Baker’s Translation Strategy on God and Self-Related Words and Expressions in The Alchemy of Happiness

Certain expressions related to something intangible may be difficult to translate and need special translation strategy. The study’s objective is to classify the strategies conducted by translators to translate SL to TL of God and Self-related words and Expressions from English into Indonesian. This research can be a reference for future research on the topic of translation, especially in the discussion of words or above words and expressions. Furthermore, it is insightful research for readers of this research as well as readers of the book to gain some knowledge in translation terms. This qualitative study compares Indonesian and English versions of the book The Alchemy of Happiness. The Indonesian version is translated by Haidar Bagir and the English is the work of Claud field. The results revealed that there were 209 data found. The translation strategies used come from Baker (1992). However, only 3 out of 4 were found in the data. The most strategy used were translation using similar meaning and form with 102 data (48,80%) and the least was translation by paraphrasing with only 27 data (12,92%). The findings show that the translation using similar meaning and form is a functional strategy to translate the God and self-related words and expressions. Moreover, this study has pedagogical implications for translators in general, translators of God-related texts, as well as students and teachers of translation.

Learning Spatial–Spectral-Dimensional-Transformation-Based Features for Hyperspectral Image Classification

Recently, deep learning tools have made significant progress in hyperspectral image (HSI) classification. Most of existing methods implement a patch-based classification manner which may cause training test information leakage or waste labeled information for non-central pixels of image patches. Therefore, it is challenging to achieve remarkable classification performance via the traditional convolutional neural networks (CNN) in the absence of label information. Moreover, due to the limitation of convolutional kernel sizes and convolution operations, the spectral information of HSI cannot be fully utilized with a traditional CNN framework. In this paper, we implement pixel-based classification by a special data division strategy and propose a novel spatial–spectral dimensional transformation (SSDT) to obtain spectral features containing more spectral information. Then, we construct a fully convolutional network (FCN) with two branches based on 3D-FCN and 2D-FCN to achieve broader spatial and spectral information interaction. Finally, the fused features are utilized to realize accurate pixel-based classification. We verify our proposed method on three classic publicly available datasets; the overall classification accuracy and average accuracy reach 82.27%/87.85%, 83.81%/81.55%, and 85.97%/83.89%. Compared with the latest proposed method SS3FCN in the no-information-leakage scenario, the overall classification accuracy of our proposed method is improved by 1.72%, 4.95% and 0.2%, and the average accuracy is improved by 0.95%, 3.92% and 2.67% on the three databases, respectively. Experimental results demonstrate the effectiveness of the proposed SSDT and the proposed CNN framework.

Cytosolic distribution of copper in the gills of field-collected oysters with different copper bioaccumulation

Oysters can hyper-accumulate copper (Cu) without apparent toxicity, but the mechanism of sequestering excessive cytosolic Cu in oysters remains unclear. We here investigated the Cu distribution in the cytosolic proteins (CPs) in the gills of oysters (Crassostrea hongkongensis) through size-exclusion chromatography coupled to inductively coupled plasma mass spectrometry (SEC-ICP-MS). Oysters collected from the southern coast of China contained a gradient of gill Cu concentrations ranging from 132 to 3540μgg-1 (dry weight), with 7-41% of Cu distributed in the CPs fraction. The CPs-Cu concentrations were 8.6 times higher in oysters with high Cu concentrations compared to low concentrations. In the CPs, Cu was dispersed with a broad range of molecular weight, suggesting the involvement of various cytosolic proteins in Cu binding. Among the 10 major Cu peaks, peaks 2 (>600kDa) and peak 8 (18kDa) contained substantial Cu and showed obvious differences in response to the variation of CPs-Cu levels. Peak 8 contained metallothionein-like proteins that decreased their role in Cu binding as CPs-Cu concentrations increased. LC-MS/MS analysis revealed that peak 2 contained macromolecular protein complexes (MPCs), which played a critical role in binding excess Cu. The comparison with other bivalve species further suggested that sequestering excess CPs-Cu in MPCs was a special strategy employed by oysters in response to high Cu accumulation. This study provides valuable insights into the mechanism of hyper-accumulation and sequestration of Cu in oysters and helps to better understand Cu biomonitoring by oysters.

The use of the NATEC P platform in the mathematics curricular component

Through large-scale assessments, the Brazilian educational system assesses the quality of its performance through a set that allows the school, in addition to knowing the knowledge of its students, to create strategies aimed at educational development. In this sense, this study aimed to analyze the results of educational assessments, specifically with regard to Mathematics, aiming to map the difficulties of students and help teachers in the development of special strategies. This study was consolidated through action research, which aimed to analyze the data collected by the NATEC P Platform, a technological resource developed by the NATEC P research group (Center for Studies in Assessment, Technology, Curriculum and Public Policy - Study Group in Assessment, Technology, Curriculum and Public Policies) from the Faculty of Sciences and Letters of Araraquara and used by a Brazilian school, in the interior of São Paulo, belonging to the state education network, of the Board of Education of Araraquara. As a result of this research, we verified that the platform has allowed teachers to be agile in pedagogical interventions through the analysis of the results presented. Thus, we intend to bring an alternative that effectively contributes to students with learning delays, through a study that allows us to analyze the potential and restrictions that technological resources can bring to education.