Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Vaccination Prioritization Strategies for COVID-19 in South Africa Based on Age-Specific Compartment Model

The vaccines are considered to be important for the prevention and control of coronavirus disease 2019 (COVID-19). However, considering the limited vaccine supply within an extended period of time in many countries where COVID-19 vaccine booster shot are taken and new vaccines are developed to suppress the mutation of virus, designing an effective vaccination strategy is extremely important to reduce the number of deaths and infections. Then, the simulations were implemented to study the relative reduction in morbidity and mortality of vaccine allocation strategies by using the proposed model and actual South Africa's epidemiological data. Our results indicated that in light of South Africa's demographics, vaccinating older age groups (>60 years) largely reduced the cumulative deaths and the “0–20 first” strategy was the most effective way to reduce confirmed cases. In addition, “21–30 first” and “31–40 first” strategies have also had a positive effect. Partial vaccination resulted in lower numbers of infections and deaths under different control measures compared with full vaccination in low-income countries. In addition, we analyzed the sensitivity of daily testing volume and infection rate, which are critical to optimize vaccine allocation. However, comprehensive reduction in infections was mainly affected by the vaccine proportion of the target age group. An increase in the proportion of vaccines given priority to “0–20” groups always had a favorable effect, and the prioritizing vaccine allocation among the “60+” age group with 60% of the total amount of vaccine consistently resulted in the greatest reduction in deaths. Meanwhile, we observed a significant distinction in the effect of COVID-19 vaccine allocation policies under varying priority strategies on relative reductions in the effective reproduction number. Our results could help evaluate to control measures performance and the improvement of vaccine allocation strategy for COVID-19 epidemic.
Relative Age Effect in Attention Deficit/Hyperactivity Disorder at Various Stages of the Medicalization Process

Diagnosis and pharmacological treatment of ADHD are more common among the youngest children in a classroom, born in the months immediately preceding the school entry cutoff date. The mechanisms behind this phenomenon, called the relative age effect (RAE), are not yet well understood. Nearly all hypotheses involve the school system, various teachers’ actions, and concern children’s immaturity. However, most previous studies have been based on reports of health professionals’ diagnoses and prescriptions found in official databases rather than on reports of teachers’ behavior identification or suspicion of ADHD, despite their being at the first stages of the medicalization process. Our study overcomes this limitation by using reports of parents’ and teachers’ behavior identification or suspicion of ADHD within a three-level multilevel survey design, comprising 1294 children, 130 teachers, and 17 elementary public schools. The goal of our study was to investigate whether RAE stems (1) from adults’ judgement of the child’s expression of immaturity or (2) from the consequences associated with the child’s double burden of being immature and exhibiting ADHD behaviors. Our multilevel analyses put forward the first hypothesis only, supporting the medicalization of immaturity. RAE in ADHD seems mostly initiated by teachers’ pre-diagnostic actions toward younger children.
Brain Structural and Functional Dissociated Patterns in Degenerative Cervical Myelopathy: A Case-Controlled Retrospective Resting-State fMRI Study

Background Previous studies have shown the whole-brain global functional connectivity density (gFCD) and gray matter volume (GMV) alterations in patients with degenerative cervical myelopathy (DCM). However, no study aimed to investigate the associations between the spatial patterns of GMV and gFCD alterations in patients with DCM. Methods Structural data and resting-state functional MRI data of 35 DCM patients and 35 matched healthy controls were collected to assess their gFCD and GMV and investigate gFCD and GMV alterations in patients with DCM and their spatial pattern associations. Results In our current study, significant gFCD and GMV differences were observed in some regions of the visual system, sensorimotor cortices, and cerebellum between patients with DCM and healthy controls. In our findings, decreased gFCD was found in areas primarily located at the sensorimotor cortices, while increased gFCD was observed primarily within areas located at the visual system and cerebellum. Decreased GMV was seen in the left thalamus, bilateral supplementary motor area (SMA), and left inferior occipital cortices in patients with DCM, while increased GMV was observed in the cerebellum. Conclusion Our findings suggest that structural and functional alterations independently contributed to the neuropathology of DCM. However, longitudinal studies are still needed to further illustrate the associations between structural deficits and functional alterations underlying the onset of brain abnormalities as DCM develops.
HO-1 Limits the Efficacy of Vemurafenib/PLX4032 in BRAFV600E Mutated Melanoma Cells Adapted to Physiological Normoxia or Hypoxia

Induction of heme oxygenase 1 (HO-1) favors immune-escape in BRAFV600 melanoma cells treated with Vemurafenib/PLX4032 under standard cell culture conditions. However, the oxygen tension under standard culture conditions (~18 kPa O2) is significantly higher than the physiological oxygen levels encountered in vivo. In addition, cancer cells in vivo are often modified by hypoxia. In this study, MeOV-1 primary melanoma cells bearing the BRAFV600E mutation, were adapted to either 5 kPa O2 (physiological normoxia) or 1 kPa O2 (hypoxia) and then exposed to 10 μM PLX4032. PLX4032 abolished ERK phosphorylation, reduced Bach1 expression and increased HO-1 levels independent of pericellular O2 tension. Moreover, cell viability was significantly reduced further in cells exposed to PLX4032 plus Tin mesoporphyrin IX, a HO-1 inhibitor. Notably, our findings provide the first evidence that HO-1 inhibition in combination with PLX4032 under physiological oxygen tension and hypoxia restores and increases the expression of the NK ligands ULBP3 and B7H6 compared to cells exposed to PLX4032 alone. Interestingly, although silencing NRF2 prevented PLX4032 induction of HO-1, other NRF2 targeted genes were unaffected, highlighting a pivotal role of HO-1 in melanoma resistance and immune escape. The present findings may enhance translation and highlight the potential of the HO-1 inhibitors in the therapy of BRAFV600 melanomas.
Histograms of the Normalized Inverse Depth and Line Scanning for Urban Road Detection

In this paper, we propose to fuse the geometric information of a 3-D LiDAR and a monocular camera to detect the urban road region ahead of an autonomous vehicle. Our method takes advantage of both the high definition of 3-D LiDAR data and the continuity of road in image representation. First, we obtain an efficient representation of LiDAR data and an organized 2-D inverse depth map, by projecting the 3-D LiDAR points onto the camera’s image plane. Through the new representation, we can acquire the intermediate representations of road scenes by extracting the vertical and horizontal histograms of the normalized inverse depth. The approximate road regions can be quickly estimated with both histogram-based schemes. To accurately find the road area, we propose a row and column scanning strategy in the approximate road region to refine the detected road area. We have carried out experiments on the public KITTI-Road benchmark, and have achieved one of the best performances among the LiDAR-based road detection methods without learning procedure.
Learning Tailored Adaptive Bitrate Algorithms to Heterogeneous Network Conditions: A Domain-Specific Priors and Meta-Reinforcement Learning Approach

Internet adaptive video streaming is a typical form of video delivery that leverages adaptive bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for various users in diverse and unique network conditions. Such heterogeneous network environments, which can be viewed as exogenous input processes, often lead to the unstable performance of ABR algorithms. Unfortunately, learning-based ABR algorithm which generated by state-of-the-art reinforcement learning (RL) technologies achieves <italic>good average performance</italic> but fails to perform well in all kinds of network conditions. In this work, considering the video playback process as the Input-driven Markov Decision Process (IMDP), we propose <inline-formula> <tex-math notation="LaTeX">$\text{A}^{2}$ </tex-math></inline-formula>BR (Adaptation of ABR), a novel meta-RL ABR approach. <inline-formula> <tex-math notation="LaTeX">$\text{A}^{2}$ </tex-math></inline-formula>BR is mainly composed of an online stage and an offline stage. It leverages meta-RL to learn an initial meta-policy with various network conditions at the offline stage and makes decisions in personalized network conditions at the online stage. At the same time, we continually optimize the meta-policy to the tailor-made ABR policy for varying the current network environment within few shots. Moreover, in order to improve the learning efficiency, we fully utilize domain knowledge for implementing a virtual player to replay the previously experienced network. Using trace-driven experiments on various scenarios including different vehicles, users, network types, and heterogeneous user-preferences, we show that <inline-formula> <tex-math notation="LaTeX">$\text{A}^{2}$ </tex-math></inline-formula>BR outperforming recent ABR approaches with rapidly adapting to the personalized QoE metrics and specific network conditions. Testbed experimental results also illustrate the superiority of <inline-formula> <tex-math notation="LaTeX">$\text{A}^{2}$ </tex-math></inline-formula>BR in adapting to the unseen environments.
Integrating battery degradation in a cost of ownership framework for hybrid electric vehicle design optimization

Prior design optimization efforts do not capture the impact of battery degradation and replacement on the total cost of ownership, even though the battery is the most expensive and least robust powertrain component. A novel, comprehensive framework is presented for model-based parametric optimization of hybrid electric vehicle powertrains, while accounting for the degradation of the electric battery and its impact on fuel consumption and battery replacement. This is achieved by integrating a powertrain simulation model, an electrochemical battery model capable of predicting degradation, and a lifecycle economic analysis (including net present value, payback period, and internal rate of return). An example design study is presented here to optimize the sizing of the electric motor and battery pack for the North American transit bus application. The results show that the optimal design parameters depend on the metric of interest (i.e. net present value, payback period, etc.). Finally, it is also observed that the fuel consumption increases by up to 10% from “day 1” to the end of battery life. These results highlight the utility of the proposed framework in enabling better design decisions as compared to methods that do not capture the evolution of vehicle performance and fuel consumption as the battery degrades.
Sex-Related Differences in the Incidence and Development of Carotid Plaques in a Low-Income Chinese Population—A Prospective Cohort Study

Purpose More than 150 million people are estimated to have been examined for the presence of carotid plaques (CPs) in China; a sex-related imbalance in the prevalence exists. However, the relationship between sex and the incidence of CP development is unclear, especially in low-income areas of China. Hence, this study aimed to identify the sex differences in CP development and CP burden in both sexes in this population. Methods The study population included individuals aged ≥45 years in a rural area of Tianjin, China. Carotid ultrasonography was performed in the 2014 and 2019 cohorts, and information on carotid ultrasonography, including the formation and number of CPs, was collected twice. Logistic analyses were used to investigate the predictors of CP formation and numbers of plaques. Results A total of 1479 participants were analyzed. The incidence of CP was 20.3% and 29.0% in women and men, respectively. In women, high low-density lipoprotein cholesterol (LDL-C) levels was independent predictors of CP formation (RR: 1.217, 95%CI: 1.010, 1.461; P=0.039). For men, the corresponding predictors were hypertension, alcohol consumption, and low high-density lipoprotein cholesterol (HDL-C) levels (all P<0.05); none of the examined factors were associated with plaque numbers. Conclusion In the study population, men had a higher incidence of plaque than women. Predictors of CP are different in men and women. LDL-C control is critical for moderating atherosclerosis in women; in men, managing blood pressure, stopping alcohol consumption, and controlling HDL-C levels are important.
Interstate rivalry, genocide, and politicide

Interstate rivalry not only influences a country’s international behavior, but also its domestic conduct. Here, I focus on the connection between interstate rivalry and domestic government mass killing, specifically genocide and politicide. I argue that interstate rivalry has both direct and indirect influences on a government’s decision to use mass violence against its civilian population. Directly, countries engaged in rivalry experience a heightened state of military tension, which increases the likelihood that the country will resort to political mass killing when handling domestic dissent. Indirectly, rivalry increases the likelihood of both inter- and intrastate conflict, which also increases the likelihood of genocide and politicide. Statistical analysis of all country-years from 1955 to 2011 reveals that interstate rivals are more likely to engage in genocide and politicide than are other states. This research illustrates the way in which interstate rivalry influences a state’s domestic politics and shapes the interactions between government and population. It also highlights the importance of how the international threat environment affects a state’s willingness to engage in domestic political mass murder. These findings indicate that rivals do not only engage in the most violent interstate behavior, but also some of the deadliest domestic politics, as well.
N-methyl-D-aspartate receptor blockers attenuate bleomycin-induced pulmonary fibrosis by inhibiting endogenous mesenchymal stem cells senescence

Background A large number of our previous studies showed that endogenous glutamate and N-methyl-D-aspartate receptor (NMDAR) activation may be involved in various types of acute lung injury, airway inflammation, asthma, and pulmonary fibrosis. In animal models, the transplantation of exogenous bone marrow mesenchymal stem cells (BM-MSCs) is the most promising treatment for idiopathic pulmonary fibrosis. However, there are limited reports on the status of endogenous BM-MSCs in the process of bleomycin-induced pulmonary fibrosis in animals. Methods We constructed a mouse model of bleomycin-induced pulmonary fibrosis. In vitro, the senescence model of BM-MSCs was constructed with hydrogen peroxide and high concentration of N-methyl-D-aspartate (NDMA). The changes in aging-related indexes were detected by senescence associated beta-galactosidase (SA-β-gal) staining, western blot, flow cytometry and real time-PCR. The epithelial-mesenchymal transformation (EMT) changes of mouse lung epithelial cells (MLE-12) co-cultured with senescent BM-MSCs were detected by immunofluorescence and western blotting. Results We observed that endogenous BM-MSCs senescence occurs during bleomycin-induced pulmonary fibrosis in mice, and the model group had a higher expression level of the NMDAR subunit than the control group. We observed a significant increase in NMDAR subunit expression in a hydrogen peroxide-induced senescent cell model in vitro. BM-MSCs showed senescence-related phenotype and cell cycle arrest after high concentration of NMDA treatment. At the same time, the expression levels of the classic Wingless and int-1 (Wnt) pathway protein β-cantenin and downstream cyclin D1 also changed. In the co-culture of aged BM-MSCs and MLE-12 cells, EMT can be promoted in MLE-12 cells, and MK-801 can partially antagonize the occurrence of EMT. The NMDAR antagonist can partially prevent the above phenomenon. Conclusions High concentrations of NMDA can promote senescence of BM-MSCs. NMDAR blockers may inhibit endogenous BM-MSCs aging through the WNT signaling pathway, thereby reducing the effect of bleomycin-induced pulmonary fibrosis.
Housing affordability and commute distance

ABSTRACT The growing affordable housing crisis in high-cost metropolitan areas may force households to seek lower cost housing in the outer reaches of metropolitan areas contributing to the recent increase in commute distance. To explore this assertion, we test the relationship between the availability of affordable housing relative to jobs and commute distance in two diverse metropolitan statistical areas in Southern California: Los Angeles-Orange (higher cost, coastal, older, more urban) and Riverside-San Bernardino (lower cost, inland, newer, more suburban). A worse “fit” between the number of low-wage jobs and affordable housing rentals is associated with longer commute distances in LA-Orange, but is not statistically significant in Riverside-San Bernardino. This study’s findings highlight the differences in housing dynamics and commute distances between higher cost coastal regions and lower cost inland regions—and underscore the importance of protecting and expanding the supply of affordable housing in job-rich neighborhoods located in more expensive, coastal cities.
A Needs Assessment Study on the Experiences and Adjustments of Students in a Philippine University: Implications for University Mental Health

Studying in a university is a challenging chapter in an adolescent’s life. Besides the stress and pressure from academic work, students have to deal with the challenge of transitioning from high school to college. Stress and distress associated with university experiences can impact mental health, and in turn, students’ academic performance. This paper highlights some insights from a needs assessment project that explored students’ perspectives on their university experiences and their own mental health. The researchers utilized a mixed methods research design, where 305 students accomplished online surveys and 20 students participated in focus group discussions. Integrative analysis of data was guided by Kirsh et al.’s (2016) socioecological focus on interrelated self, social, and environmental influences on student mental health. Results converge with existing studies indicating the need for academic institutions to examine and change their learning culture to one that explicitly acknowledges the role of mental health in student learning and well-being.
Experimental and Numerical Study on the Behavior of Energy Piles Subjected to Thermal Cycles

A laboratory-scale model test is conducted to improve the understanding of the effects of thermal cycles on the mechanical behavior of energy piles. The model pile is composed of cement mortar and dry sand with a relative density of 30% is used for the model ground. After applying the working load to the pile head, the pile is subjected to three thermal cycles with a magnitude of 15°C. The measured temperature response and mechanical behavior are analyzed and used to validate the proposed numerical approach. In the numerical analysis, the temperature variation due to thermal cycles is calculated using uncoupled heat transfer analysis. Then, the computed temperature field is used as the boundary condition in the sequence stress analysis. A series of numerical sensitivity analyses are carried out using the sequentially coupled method to investigate the long-term performance of energy piles under different soil and pile head restraint conditions. The numerical results suggest that the restraint condition at the pile head plays an important role in the mechanical response of energy piles. The ultimate pile resistance after thermal cycles does not decrease significantly. The accumulation of settlement of the free head pile and the reduction in the axial force of the restrained head pile should be considered in the design.
Artemisia Extracts and Artemisinin-Based Antimalarials for COVID-19 Management: Could These Be Effective Antivirals for COVID-19 Treatment?

As the world desperately searches for ways to treat the coronavirus disease 2019 (COVID-19) pandemic, a growing number of people are turning to herbal remedies. The Artemisia species, such as A. annua and A. afra, in particular, exhibit positive effects against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection and COVID-19 related symptoms. A. annua is a source of artemisinin, which is active against malaria, and also exhibits potential for other diseases. This has increased interest in artemisinin’s potential for drug repurposing. Artemisinin-based combination therapies, so-called ACTs, have already been recognized as first-line treatments against malaria. Artemisia extract, as well as ACTs, have demonstrated inhibition of SARS-CoV-2. Artemisinin and its derivatives have also shown anti-inflammatory effects, including inhibition of interleukin-6 (IL-6) that plays a key role in the development of severe COVID-19. There is now sufficient evidence in the literature to suggest the effectiveness of Artemisia, its constituents and/or artemisinin derivatives, to fight against the SARS-CoV-2 infection by inhibiting its invasion, and replication, as well as reducing oxidative stress and inflammation, and mitigating lung damage.
Saccharification of pre-treated wheat straw via optimized enzymatic production using Aspergillus niger: Chemical analysis of lignocellulosic matrix

Abstract Bioconversion of lignocellulosic wastes to valuable end-products via multi-enzymatic hydrolysis is a potential low costing process for large-scale application in many industrial sectors. Thus, in this study, among thirty local fungal isolates, Aspergillus niger which gave the highest cellulase production, was identified under the accession number MZ062603 in GeneBank. Three types of pre-treatments (0.0–0.7%) acid, (0.0–2%) alkali, and (70–90 °C) hot water were applied to increase wheat straw (WS) digestibility by A. niger, and 1% NaOH treated WS was superior to the other pre-treatments (acid and hot water). During solid-state fermentation, the total cellulolytic activity of [filter-paper cellulase (FPase), carboxy-methyl cellulase (CMCase), and β- glucosidase (βGase)] increased about 2.8-fold. While reducing sugar was increased by 3.1 times. The optimum values of total cellulases activities and reducing sugar (8907.2 and 92.4 mg/gds) were obtained after 3 days of incubation at 30 °C and pH 5.2 at 75% v/w moisture using 3 days old inoculum (106 spores/mL/gds). The WS substrate which was subjected to alkali pre-treatment subsequent to fungal bioconversion was varied in its chemical composition and detailed structure compared to the raw and alkali pre-treatment ones as indicated by its chemical analysis, Scanning electron microscopy (SEM) observation, Fourier Transform Infra-red Spectroscopy (FTIR), and X-Ray Diffraction (XRD). All these analyses revealed that the lignocellulosic matrix was completely destroyed after the fungal treatment.