Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 Computed Tomography Findings: A Systematic Review and Meta-Analysis

Purpose To date, there remain considerable knowledge gaps regarding the chest CT imaging features of COVID-19. We performed a systematic review and meta-analysis aimed to quantitatively summarize results from publ ished studies to date to provide a summary of evidence on detection of COVID-19 by che st CT and the expected CT imaging manifestations. Methods Studies were identified by searching PubMed datab ase for articles published December 2019 – February 2020. Pooled CT positive rate of COVID-19 and pooled incidence of CT imaging findings were es timated using a random-effect model. Results A total of 13 studies met inclusion criteria. The p ooled positive rate of the CT imaging was 89.76% and 90.35% when only includin g thin-section chest CT. Typical CT signs were ground glass opacities (GGO) (83.31%), GGO with mixed consolidation (58.42%), adjacent pleura thickening (52.46%), interlobular septal thickening (48.46%), and air bronchograms (46.46%). Other CT signs included crazy paving pattern (14.81%), pleural effusion (5.88%), bronchiectasis (5.42%), pericardial effusion (4.55%) and lymphadenopathy (3.38%). The m ost anatomic distributions were bilateral lung infection (78.2%) and periphera l distribution (76.95%). The incidences were highest in the right lower lobe (87 .21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%). The right upper lobe (65.22%), right middle lobe (54.95%) and left upper lobe (69.43%) were also com m nly involved. The incidence of bilateral upper lobes was 60.87%. A considerable proportion of patients had 3 or more lobes involved (70.81%). Conclusions The detection of COVID-19 chest CT imaging is very high among symptomatic individuals at high risk, especially us ing thin-section chest CT. The most common CT features in patients affected by COVID-19 included GGO and consolidation involving the bilateral lungs in a pe ri heral distribution.
University student-athletes' experiences of facilitators and barriers to contribution

University student-athletes' contributions in the form of volunteering, community involvement, and civic engagement have been the subject of recent research; however, findings have frequently contrasted each other. The prevalence of contrasting findings indicates a need for research examining the facilitators and barriers to university student-athlete contributions. To date, no studies have specifically examined the facilitators and barriers to contribution in this population. Thus, the purpose of this study was to explore the facilitators and barriers to university student-athletes' contributions. Individual semi-structured interviews were conducted with eight university student-athletes (two males, six females) from two Canadian universities between 18 and 21 years of age (M = 19.25). Initial analysis of interview transcripts led to the identification of two qualitatively distinct profiles regarding how facilitators and barriers to contributions were experienced. Further investigation of these differences resulted in the identification of two groups of participants who differed in their lived experiences of contributions marked primarily by age and contribution experiences. The two profiles were subsequently labelled as first-year student-athletes and sustained contributors. Although both profiles identified teammates, coaches, and athletics department staff as facilitators to their contribution, they differed in their descriptions of how contributions were facilitated. First-year student-athletes were more reliant than sustained contributors on having facilitators create contribution opportunities or directly invite them to contribute. The profiles also differed in regards to how time constraints were overcome. First-year student-athletes utilized less complex individual time-management strategies, while sustained contributors collaboratively made use of more advanced time-management strategies to optimize their time. Acknowledgments: Funded by a SSHRC Joseph-Armand Bombardier Canada Graduate Scholarship (Masters)
A Study of Critical Flicker Fusion Threshold among Smartphone Users

In this technological era, we are surrounded with may electronic gadgets Smartphone is one of the most popular technology among them that can keep people connected with the world at their fingertips that results in longer exposure to that LED light emitting device that leads to negative consequences on the users therefore it becomes an important public health issue and creating alarming situation especially for the college going students.
CCSS Study Analysis Concept Proposal

Acute lymphoblastic leukemia (ALL) is the most common pediatric malignancy, accounting for 25% of all childhood cancers. Combination chemotherapy for two to three years is the primary treatment for all patients, and in a subset, cranial radiotherapy (CRT) is given. Although children with ALL rarely survived in the 1950s, remarkable advances in therapy have led to the present 80% cure rate. However, childhood cancer survivors face unique long-term health problems caused by the curative therapies they received. A particular problem among childhood ALL survivors is treatment-related obesity. For instance, in an assessment from the Childhood Cancer Survivor Study (CCSS), ALL survivors were at increased risk for obesity, compared to population-based, age-specific, and gender-specific norms (females: odds ratio [OR]=1.5; 95% confidence interval [CI], 1.2-1.8; males: OR=1.2; 95% CI, 1.0-1.5). Previous studies have identified only a few risk factors associated with treatment-related obesity in long-term ALL survivors (e.g., CRT). However, these factors do not account for the inter-individual variation in treatment-related obesity. Because of obesity-related consequences in childhood ALL survivors, it is critical to identify at-risk subpopulations and develop targeted interventions.
Mobile Transmission Using Rigorous Data for Wireless Sensor Networks

: - Wireless Sensor Networks (WSNs) are progressively more used in data-intensive applications such as micro-climate monitor, exactitude agriculture, and audio/video supervision. A key dispute faced by data-intensive WSNs is to convey all the data generated within an application's duration to the base station regardless of the fact that antenna nodes have restricted power supplies. We recommend using low-cost not reusable mobile transmissions to concentrate the energy expenditure of data-intensive WSNs. Our advance differs from preceding work in two main aspects. First, it does not require complex motion planning of mobile nodes, so it can be implemented on a number of low-cost mobile sensor platforms. Second, we incorporate the energy exploitation due to both mobility and wireless transmissions into a holistic optimization framework. Our framework consists of three main algorithms. The first algorithm computes an optimal routing tree pretentious no nodes can move. The second algorithm improves the topology of the routing tree by tightfistedly adding new nodes exploiting mobility of the newly added nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology. This iterative algorithm converges on the optimal position for each node given the restriction that the routing tree topology does not change. We present professional distributed implementations for each algorithm that require only inadequate, confined to a small area bringing together. Because we do not automatically calculate an optimal topology, our ending routing tree is not automatically optimal. However, our simulation results show that our algorithms significantly surpass the best presented solutions.
MICRO IRRIGATION IN CHINA : HISTORY , CURRENT SITUATION , AND FUTURE By

The commercial use of microirrigation in China was first introduced in the 1970s, and it has been more than 40 years since microirrigation was initially implemented. Through continuous demonstration, extension and technical innovations, almost all the production of the facilities and equipment for microirrigation installations, including emitters, infiltrators, injectors, regulators, pipelines and other ancillary devices, has been domestically industrialized. Extensive technical issues regarding the design, operation and maintenance of microirrigation systems were studied. Many application modes for typical crops have been established in different regions through demonstrations and extensions. Micro irrigation has become one of the water-saving irrigation technologies used in China that is able to increase crop production. Chemigation, which is beneficial to crop production and environmental conservation, is currently successfully and popularly used in microirrigation systems. These achievements have made microirrigation an important landmark of agricultural modernization in China. After reviewing the introduction, demonstration, expansion and related research works on microirrigation, possible further research topics are presented in this paper.
Clinical practice update: Who should be referred for transcatheter aortic valve replacement in 2017?

Access at: www.USCjournal. com Aortic stenosis (AS) has a long latent period and then rapid progression with high mortality once symptoms appear. The absence of an effective medical therapy for symptomatic severe AS led to a class I indication for aortic valve replacement (AVR) in both the US and European guidelines. Unfortunately, a study by Bach et al. in 2009 found that up to half of patients with symptomatic severe AS were not offered surgical aortic valve replacement (SAVR) as they were not considered reasonable surgical candidates based on age, comorbidities, frailty, or other anatomic risks. Transcatheter aortic valve replacement (TAVR) was developed as a less invasive alternative to SAVR to allow treatment in this higher-risk patient population. Since the first successful TAVR in 2002 more than 250,000 procedures have been performed worldwide with a steadily decreasing patient-risk profile (Table 1).
bhyvearm64: Generic Interrupt Controller Version 3 Virtualization

—Traditionally associated with low-power, mobile computing, Arm is now seeking to enter the PC and the server markets. Virtualization is especially used in these areas, and current hypervisors rely on various hardware features to achieve efﬁcient virtualization. To this end, the Armv8 architecture introduces a series of hardware mechanisms to reduce or eliminate some of the overhead associated with running virtual machines. Modern computers rely on hardware interrupts to communicate with peripherals, and this aspect of virtualization has seen a series of architectural optimizations from Arm. We will present our experience emulating the Generic Interrupt Controller version 3, the interrupt controller designed by Arm. We have used a mix of virtualization techniques: trap-and-emulate for the memory-mapped regions of the controller, which are accessed less frequently, and hardware accelerated virtualization where possible. To validate our approach, we have created a virtualized timer which is used to deliver timer interrupts to the virtual machines. Timers are essential for modern operating systems, and the virtualized timer is an abstraction over the Arm architectural timer, the Generic Timer. As with the interrupt controller, we have taken special care to take advantage of the available hardware mechanisms to reduce the cost of virtualization. The end result is a fully functioning hypervisor which is able to create, run and destroy virtual machines on Armv8.0-A and later processors.
Identifying Malwares by Signature Distribution Algorithm in MANET with Assorted Strategy.

:- Malware are more frequently in mobile network, modeling an effective defence system in MANET to help the infected nodes to recover from the infection. MANET is a self-configuring, Infrastructure less network which connect the mobile nodes without wires. It has the access point with links between the nodes along the distribution system. In this work, the defence system is established to protect the mobile nodes form malware and stops the further propagation if it already exists. Furthermore, the problem of how to optimally distribute the content based signatures of malware is investigated, which help to detect the corresponding malware and disable further propagation, to minimize the number of infected nodes. By some theoretical analysis and simulations with both synthetic and realistic mobility traces, the distribution algorithm which achieved the optimal solution, and performs efficiently in MANET.
Non-linear control for a group of omni wheel robots

— The paper presents a solution of the problem of non-linear control law design for a group of mobile robots. The solution consists of the new approach to control of a group of mobile robot based on principals and methods of synergetic control theory. The design of robots control is considered with the analysis of mathematic model and with specified aim. In the synergetic control theory the set of criteria for the control system is usually expressed in the form of an appropriate system of invariants. Invariants play the role of control objectives, which are enforced a given technological aims. The synergetic synthesis procedure reduces to process of finding the non-linear control law on which these given invariants are satisfied. The synthesized control law provides an asymptotically stable movement of a group of omni-wheel robots with specified type of formation.
PHYSICAL AND MENTAL HEALTH, SUBSTANCE ABUSE AND PREVENTIVE BEHAVIOUR: DISPARITIES BETWEEN CENTRAL/EASTERN VERSUS WESTERN EUROPEAN FIRST-YEAR UNIVERSITY STUDENTS IN SOCIAL SCIENCES (HEALTH BEHAVIOUR PATTERNS OF STUDENTS)

Background: Students at many European universities are in poor health and have unhealthy lifestyles. This study assessed and compared physical and mental health, substance use and preventive behaviour among Polish and Romanian students versus students from France, a longer-standing member of the European Union. Methods: Four months after the beginning of the academic year, French (Metz), Polish (Katowice) and Romanian (Iasi) first-year students of human and social sciences volunteered to complete an online self-reported questionnaire in their native language. The data were analysed using the age and sex adjusted odds ratios (OR) computed with logistic models and analysis of variance controlling for age and sex. Results: 41.9% of French students, 79.2% of Polish students and 48.2% of Romanian students were aged 20 years or over, and 58%, 82% and 87% respectively were female. Compared with French students, Romanian and Polish students experienced more stress/psychological distress, received less social support, and smokers smoked more intensively (ORs about 2.3). Drunkenness, impaired physical health or morale and suicidal ideation were more frequent (ORs 1.5-1.8) while tobacco use was less frequent (0.34) among Polish than among French students. Being uneasy, wanting to cry, having financial problems, and impaired physical health or morale were more frequent (ORs 1.5-4.9) among Romanian than among French students, in contrast to drunkenness (0.43). Both not using a motorcycle/cycle helmet and drink driving were less frequent among Polish students (ORs 0.06 and 0.47, respectively). Romanian students less frequently used tranquillisers (0.07) but were more likely not to use a condom during sexual intercourse (2.06). Finally, French students more frequently reported feeling isolated or dissatisfied with their integration into university. Conclusion: Poor health, substance use and lack of support were common but the risks greatly differed between Polish, Romanian and French students. There is a need to help students solve their integration problems and material difficulties. Health promotion on campus should provide appropriate advice, particularly for individuals at risk that takes account of the socio-economic and cultural context.
Using Motivational Interviewing in Public Health Practice to Prevent Fetal Alcohol Syndrome

Background: Surveys of women in prenatal care at busy clinics in Detroit, Michigan have reported 12.5% continue to drink during pregnancy (Flynn et al, 2003) and women in substance abuse treatment programs in Wayne County, MI have an incidence rate for Fetal Alcohol Syndrome (FAS) of 4 in 1,000 births, double the national prevalence rate of FAS. The goal of the current study was to intervene with women at high risk for an alcohol-exposed pregnancy using techniques of Brief Motivational Interviewing (BMI) in a verbal and written format. Methods: One third (33%) of 1,784 women screened at Detroit Department of Health and Wellness Promotion (DHWP) primary health care clinics and HIV/AIDS-STD clinic were found to be at risk of an alcohol exposed pregnancy defined as binge drinking (at least 4 drinks per occasion) or heavy drinking (8 or more drinks per week) in the last three months, while they were having sex with inconsistent or no contraception. This intervention utilized Brief Motivational Interviewing (BMI) and developed written materials based on the principles of BMI to 1) assess readiness for change, 2) strengthen motivation to change, and 3) provide an individualized change plan. For women who received the Individual Level Intervention (n = 77), four sessions of BMI were conducted (two in-person, two via telephone) over a six-month period. A Self-Guided Change version of the intervention (Community Level Intervention) was offered for women (n = 327) who preferred to utilize the materials at home and receive two follow-up telephone calls following baseline interview, also during a six-month period. Results: Both strategies, based on principles of Motivational Interviewing, have been shown to be effective in reducing drinking and increasing contraceptive use. Out of the 404 women participating in the program, 310 (77%) women completed at least one follow-up and were included in the analyses. Overall, 59.9% of the women enrolled in both interventions were no longer at risk for an alcohol-exposed pregnancy at the end of the intervention six months later. Conclusion: Brief Motivational Interviewing, delivered verbally or in a written format, is an effective method of reducing women’s risky behaviors for an alcohol exposed pregnancy. The Motivational Interviewing in Public Health Michigan Journal of Public Health Page 12 of 47 Volume 3, Issue 1, Winter 2009 Individual Level Intervention that included 2 face-to-face sessions resulted in less attrition than the Self-Guided Change version which relied on phone and mail contact only.
Evaluation of process indicators of the prenatal and birth humanization program and stork network Avaliação dos indicadores de processo do Programa de Humanização no Pré-Natal e Nascimento e da Rede Cegonha

Objetivo: Analisar os indicadores de processo do Programa de Humanizacao no Pre-natal e Nascimento (PHPN) e da Rede Cegonha a partir do sistema de informacao de pre-natal. Metodo: Trata-se de um estudo epidemiologico descritivo, baseado em dados secundarios do sistema de informacao de pre-natal de um municipio da regiao sudeste do Brasil. Os indicadores da assistencia pre-natal foram analisados utilizando-se os indicadores de processo do PHPN, da Rede Cegonha e do Manual Tecnico da Atencao ao Pre-natal de Baixo Risco do Ministerio da Saude e, em seguida, foram avaliados em quatro niveis de qualidade, sendo classificados em adequada, inadequada e intermediaria. Resultados: Verificou-se classificacao da qualidade da assistencia pre-natal insatisfatoria para todos os niveis. Conclusao: Sao necessarias intervencoes constantes pela gestao para melhoria da qualidade da assistencia Pre-natal.
Screening and measurement for early detection of breast cancer related lymphedema: National Lymphedema Network Position Paper

• Objective measurement: Pre-treatment baseline measurement of arms is essential, as this serves as the baseline data to which subsequent measurements can be compared. Regular measurements following treatment are indicated for the remainder of the patient’s life. Surgeons and medical oncologists who treat breast cancer and follow breast cancer patients/survivors should conduct these measurements at every patient visit. Such measurements should also be conducted in cases where primary care physicians or advanced practice nurses provide follow up care in lieu of the treating surgeons or oncologists.
On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization

This paper considers the decentralized dynamic optimization problem defined over a multi-agent network. Each agent possesses a time-varying local objective function, and all agents aim to collaboratively track the drifting global optimal solution that minimizes the summation of all local objective functions. The decentralized dynamic consensus optimization problem can be solved by primal or primal-dual methods, and when the problem degenerates to be static, it has been proved in literature that primal-dual strategies are superior to primal ones. This motivates us to ask: are primal-dual strategies necessarily better than primal ones in decentralized dynamic optimization? To answer this question, this paper studies and compares the convergence properties of the primal approach, decentralized gradient descent (DGD), and the primal-dual approach, decentralized gradient tracking (DGT). Theoretical analysis reveals that primal methods can outperform primal-dual methods in some dynamic settings. We find that DGT is highly influenced by the variation of optimal gradients while DGD is greatly affected by the upper bound of optimal gradients. Moreover, we show that DGT is more sensitive to the network topology and a sparsely-connected network can significantly deteriorate its convergence performance. These conclusions provide guidelines on how to choose proper dynamic algorithms in various application scenarios. Numerical experiments are constructed to validate the theoretical analysis.
Joint User Clustering and Content Caching with Heterogeneous User Content Preferences

In this paper, we consider a joint design of the user clustering and content caching in the cache-enabled heterogenous network (HetNet) in which users in the network have distinct content preferences. The joint clustering and caching in the HetNet relies on multitude of factors, such as channel gains in all links, which may not be fully known in practice. Besides, clustering and caching may exhibit a fundamental tradeoff between the content hit probability and the spectral efficiency. We are therefore motivated to tackle this challenging problem by the deep reinforcement learning (DRL). In particular, the deep deterministic policy gradient (DDPG) algorithm is employed to manage the dynamics of clustering and caching in the HetNet with a sizable action space. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.
Structured Tensor Decomposition-Based Channel Estimation for Wideband Millimeter Wave MIMO

In this paper, we focus on the channel estimation of millimeter wave (mmWave) multiple-input multiple-output orthogonal frequency division multiplexing systems with hybrid analog-digital structures. By exploiting the sparse characteristics of mmWave channels, we transform the channel estimation issue to the recovery problem of multi-path parameters, e.g., angle of arrival/departure, time delay and path gain. We formulate the downlink training signals as a third-order low-rank tensor, which fits a canonical polyadic (CP) model with three factor matrices containing the channel parameters. We further exploit the Vandermonde structure of the factor matrix and develop a structured CP decomposition-aided channel estimation algorithm, which leverages standard linear algebra and avoids random initialization and iterations. The simulation results show that the proposed scheme outperforms the traditional strategies in terms of accuracy, complexity and robustness.