In the midst of an unprecedented public health crisis, extraordinary containment measures must be implemented. These include both isolation and quarantine, either on a voluntary basis or enforced. In the transition from voluntary to mandatory isolation, conflicts arise at the intersection of ethics, human rights and the law. The Siracusa Principles adopted by the United Nations Economic and Social Council in 1985 and enshrined in international human rights legislation and guidelines specify conditions under which civil liberties may be infringed. In order for isolation processes in South Africa to claim legitimacy, it is important that these principles as well as national laws and constitutional rights are embedded in state action.Since community transmission of COVID-19 became established in South Africa, individuals who test positive for COVID-19 and who do not require hospitalisation have been permitted to self-isolate in their homes to reduce the burden on the health system. The Premier of KwaZulu-Natal Province has since announced that self-isolation will no longer be permitted in the province. Instead, mandatory isolation in state-designated isolation sites would apply. This policy change marks a dangerous departure from the country's prevailing position on home-based self-isolation and should not be replicated elsewhere.It is likely that the SARS-CoV-2 pandemic will affect a large part of the world's population and will last for several years. Many critical ethical issues have arisen in the healthcare context. While response from healthcare professionals to participating in the care of patients in the era of COVID-19 has generally been positive, there have also been disturbing experiences on the ground. The practice of medicine is a social contract with humanity. Challenges have arisen because the patient is both a victim and a vector of the coronavirus. All humans should have a natural instinct to care for those in need. Ethically and legally, healthcare professionals cannot be expected to assume a significant and unreasonable risk of harm. While fear is understandable, altruism and interest in serving the sick exemplify the value of solidarity. Social harms like stigmatisation and discrimination can occur. Concerns have been raised regarding protection of privacy and respect for rights of infected individuals. In the era of COVID-19, fear, misinformation and a detachment from one's calling put professionalism strongly to the test.Less than 3 months after the World Health Organization (WHO) declared COVID-19 a Public Health Emergency of International Concern, and within a month of the WHO declaring COVID19 a global pandemic, COVID-19 infections and fatalities have grown exponentially, globally. Now, more than ever, the world needs responsible political leadership, evidence-based decision-making, and co-ordinated global health action.As one of the key parts of rotary machine, the fault diagnosis and running condition monitoring of rolling bearings are of great importance for normal working and safe production of rotary machine. However, the traditional diagnosis approaches merely count on artificial feature extraction and domain expertise. Meanwhile, the existing convolutional neural networks (CNNs) have the problem of low fault recognition rates. This paper proposes a novel convolutional neural network with one-dimensional structure (ODCNN) for the automatical fault diagnosis of rolling bearings, which adopts six sets of convolutional and max-pooling layers to extract signal features and applies a flattening convolutional layer followed by two fully-connected layers for feature classification. The architectures of one-dimensional LeNet-5, AlexNet, and the proposed ODCNN are illustrated in detail, followed by the obtaining of training and testing samples, which is pre-processed by overlapping the vibration signals of rolling bearings. Finally, the classification experiment is carried out. The experimental results show that the ODCNN has higher fault diagnosis rates and can achieve high accuracy with load variant. Additionally, the extracted features of three CNNs are visualized, which illustrate that the new CNN has a better classification capacity.Radiation heat and convection heat exist on stratified air conditioning zone building surfaces in large space, and they have significant impact on cooling load calculation and thermal comfort analysis. Actually, heat transfer in large space is usually under non-steady condition. Based on an actual large space, a 14 scale model experiment rig is built as research object, which has typical sloping ceiling structure, columnar low supply air, middle return air, inner surfaces periodic heat flow simulation system, heat measurement, and control system. For stratified air conditioning zone building surfaces in large space, radiation heat transfer calculation model is presented based on Gebhart radiation model and radiation heat is calculated by matrix calculation. Convection heat transfer calculation formula is presented based on inner surfaces temperatures and indoor air temperatures. Taking two periodic heat flow experiment conditions, building surfaces temperatures and indoor air temperatures of stratified air conditioning zone in large space were collected, taking model calculation program to compute dynamic radiation heat and convection heat. The result indicated the dynamic characteristics of radiation heat and convection heat of stratified air conditioning zone building surfaces in large space. It provided some important information for dynamic heat transfer research in stratified air conditioning zone building surfaces in large space.To find the weak link of the structural stiffness is important to improve machine tool stiffness. However, how to overcome the static deformation with difficulty acquisition is a difficult problem in machine tool structure. The article takes the cantilever beam structure as a numerical example, the weak link is modeled as EA reduction in stiffness. Thorough finite element simulations are performed to assess the robustness and limitations of the method in several scenarios with single and multiple weaknesses. The sensors are used to acquire the acceleration data, the structural modal parameters are obtained by the singular value decomposition technique, and the dynamic characteristics are systematically reconstructed by using the modal state-space method to obtain static stiffness.  https://www.selleckchem.com/products/valproic-acid.html  Then, an identification method proposed by measured data and reconstructed data to identify the weak link of stiffness of the cantilever structure. Furthermore, the comparison of numerical and experimental results validate the correctness and effectiveness of this method.