Frederickjimenez2594

On the other hand, we use ResNet, avoiding gradient explosion problems in deep learning for classification. And we filter the result we got from YOLOv5 and ResNet. If ResNet recognizes that the image is not abnormal, the YOLOv5 detection result is discarded. The dataset is collected via VinBigData's web-based platform, VinLab. We train our model on the dataset using Pytorch frame and use the mAP, precision, and F1-score as the metrics to evaluate our model's performance. In the progress of experiments, our method achieves superior performance over the other classical approaches on the same dataset. The experiments show that YOLOv5's mAP is 0.010, 0.020, 0.023 higher than those of YOLOv5, Fast RCNN, and EfficientDet. In addition, in the dimension of precision, our model also performs better than other models. The precision of our model is 0.512, which is 0.018, 0.027, 0.033 higher than YOLOv5, Fast RCNN, and EfficientDet.In this paper, the analysis of intracavitary electrocardiograms is used to guide the mining of abnormal cardiac rhythms in patients with hidden heart disease, and the algorithm is improved to address the data imbalance problem existing in the abnormal electrocardiogram signals, and a weight-based automatic classification algorithm for deep convolutional neural network electrocardiogram signals is proposed. By preprocessing the electrocardiogram data from the MIT-BIH arrhythmia database, the experimental dataset training algorithm model is obtained, and the algorithm model is migrated into the project. In terms of system design and implementation, by comparing the advantages and disadvantages of the electrocardiogram monitoring system platform, the overall design of the system was carried out in terms of functional and performance requirements according to the system realization goal, and a mobile platform system capable of classifying common abnormal electrocardiogram signals was developed. The system is capable of long-term monitoring and can invoke the automatic classification algorithm model of electrocardiogram signals for analysis. In this paper, the functional logic test and performance test were conducted on the main functional modules of the system. The test results show that the system can run stably and monitor electrocardiogram signals for a long time and can correctly call the deep convolutional neural network-based automatic electrocardiogram signal classification algorithm to analyze the electrocardiogram signals and achieve the requirements of displaying the electrocardiogram signal waveform, analyzing the heartbeat type, and calculating the average heart rate, which achieves the goal of real-time continuous monitoring and analysis of the electrocardiogram signals.The objective of this paper is to study the curative effect of music combined with hypnosis on labor pains during childbirth. Based on the algorithm of data mining, we randomly selected 100 women who delivered babies in obstetric units from October 2020 to June 2021, set the control group and the observation group, obtained the relevant clinical data through comparison, and analyzed the value of music combined with hypnotic analgesia midwifery in obstetrics. The results showed that the number of spontaneous delivery cases in the observation group was higher than that in the control group (P less then 0.05) and the delivery time in the observation group was better than that in the control group (P less then 0.05). It is proved that music combined with hypnosis can effectively improve the rate of natural childbirth and shorten the overall labor time, so as to guarantee the health of mother and child.

Evidence from high-income countries (HICs) has documented a higher rate of post-traumatic stress disorder (PTSD) in females than males. However, data are limited on sex differences in PTSD from low- and middle-income countries (LMICs), despite particularly high levels of trauma experienced by LMIC youth.

In a sample of adolescents from an impoverished South African community, we examined sex differences in PTSD, as well as co-occurring depression, adolescent age, and the type and extent of trauma exposure as potential contributors to female vulnerability.

Participants were recruited from high schools in the Khayelitsha area of Cape Town. Self-reported trauma exposure, PTSD and depressive symptoms were measured in 797 adolescents (62% female) aged 13-17years. Poisson regressions were used to examine Risk Ratios (RR) based on probable PTSD diagnoses, and linear regressions were applied to assess posttraumatic stress symptom (PTSS) severity.

92% of adolescents reported trauma exposure, of whom 28% had prs in a high adversity-LMIC sample suggesting sex differences are robust across international contexts. Sex differences in PTSD are unlikely to be explained by co-occurring depression and in this context sex differences in depression may be secondary to trauma and PTSD. However, exposure to significant interpersonal trauma appears to overrule any specific female vulnerability.

Political violence and constraints on liberty of movement can have consequences for health and well-being but affect individuals differently.

In three Palestinian samples, we sought to examine the relationship between key environmental and psychological factors and general and mental health, including the previously unexplored roles of constraints to liberty of movement and attachment orientation.

Participants (

=519) in the Occupied Palestinian Territories and Jordan completed questionnaires on constraints to liberty of movement, attachment insecurity, resource loss, experience of political violence , demographics, general healthdepression, and anxiety. All measures were translated from English to Arabic and back-translated into English.

Findings from regression and mediation analyses indicated that (1) differences in general and mental health among Palestinians in the Occupied Palestinian Territories and the diaspora in Jordan can be explained by the assessed constructs; (2) constraints to liberty psychological effects of constraints to liberty of movement on health.

Interactions with inmates are a major source of stress for prison officers. buy Lomerizine Given the conflicting nature of this relationship, violent behaviours towards prison officers are not uncommon, posing a threat to their psychological well-being.

This study analyses the role that the strategies prison officers use to regulate inmates' emotions have on the frequency of inmates' violent behaviour and on the presence of posttraumatic stress symptoms in prison officers. Based on interactional models of emotional regulation, a model is proposed in which interpersonal regulation has an indirect effect on PTSD symptoms mediated by the response of the inmate.

A total of 424 prison officers employed at 5 Uruguayan prisons completed a questionnaire.

The results confirm that emotional regulation strategies are related to inmates' violent behaviour, which in turn affects prison officers' PTSD symptoms. In particular, prison officers use of strategies to improve inmates' affect reduces the level of inmate´s violent behaviaken into account in the analysis of PTSD symptom development. The practical implications for the reduction of the exposure to potentially traumatic violent events and the prevention of PTSD symptoms among prison officers are discussed.This study used a mixed-methods research design to examine the sensitivity of vector-borne disease (VBD) patterns to the changes in rainfall and temperature trends. The research focused on malaria in Masvingo Province, Zimbabwe. The study interfaced the climate action, health and sustainable cities and communities with sustainable development goals (SDGs). link2 Historical climate and epidemiological data were used to compute the correlations and determine the possible modifications of disease patterns. Clustered random and chain-referral sampling approaches were used to select study sites and respondents. Primary data were gathered through a questionnaire survey (n = 191), interviews and focus group discussions, with Mann-Kendal trend tests performed using XLSTAT 2020. The results show a positive correlation between malaria prevalence rates and temperature-related variables. A decline in precipitation-related variables, specifically mean monthly precipitation (MMP), was associated with an increase in malaria prevalence. These observations were confirmed by the views of the respondents, which show that climate change has a bearing on malaria spatial and temporal dynamics in Masvingo Province. The study concludes that climate change plays a contributory role in VBD dynamics, thereby impeding the attainment of the 2030 Agenda for Sustainable Development, especially SDG 3, which deals with health. The study recommends further research into appropriate adaptation mechanisms to increase the resilience of rural and urban communities against the negative transmutations associated with weather and climatic pressures.Climate change is a global phenomenon that is affecting all humanity. Bearing the harshest brunt of environmental, social and economic shocks are the world's poorest and those in vulnerable conditions such as women in rural areas. Rural areas have experienced a decline in the dependence on agriculture and livestock farming because of climate change, thus forcing people especially women to look for alternative sources of sustainable livelihoods (SLs). The objective of this study was to establish the extent to which craft development can be used as an alternative livelihood by women in uPhongolo Local Municipality in KwaZulu-Natal to mitigate the effects of climate change. This study adopted a SL theoretical framework to explain how women in the study area used craft development to improve their livelihoods. A survey method was adopted for this study using both qualitative and quantitative approaches. Non-probability sampling strategy using a purposive sampling technique was used to select 50 women crafters from uPhongolo Local Municipality. Face-to-face interviews using questionnaires, which had both closed and open-ended questions, were conducted. These allowed for the collection of numeric data and simultaneously allowed respondents to express themselves and elaborate on the structured questions. The Software Programme for Social Science (SPSS) was used to analyse quantitative data that had been generated using structured interviews and categorised qualitative data. link3 The findings indicated that innovative entrepreneurship using natural capital readily available in the area for craft development and linking the products to the market play a significant role in improving SLs of women in the study area. The study recommends that capacity-building programmes be provided to equip rural women with skills that would enhance their ability to respond to natural hazards such as climate change.The South African disaster response activities surpass risk reduction since the implementation of the Disaster Management Act 57 of 2002 (DMA) and the National Disaster Management Framework of 2005 (NDMF). Risk reduction, in particular risk communication, remained unexploited until the occurrence of coronavirus disease 2019 (COVID-19) pandemic. The legislation and policy mandate a proactive approach for disaster management, requiring a focus on disaster risk reduction. Therefore, this study aimed to assess the significance of risk communication as a critical prevention and mitigatory strategy in disaster risk management, focusing on the COVID-19 pandemic. Key to risk communication success is ensuring adequate comprehension, accurate perception of the disseminated information, and compliance with regulations. Questions of trustworthiness, acceptability, effectiveness, and usefulness of messages and strategies communicated sought answers from the Bloemfontein population. Furthermore, the Agenda-setting Theory provided the grounding for the study.