Notes

Causes and methods regarding Personal privacy Features inside Monitoring along with Searching for Systems-A Organized Literature Assessment.
While public green spaces (PGS) are opined to be central in the pandemic recovery, higher accessibility to PGS also mean a higher risk of infection spread from the raised possibility of people encountering each other. This study explores the distributive effects of accessibility of PGS on the COVID-19 cases distribution using a geo-spatially varying network-based risk model at the borough level in London. The coupled effect of social deprivation with accessibility of the PGS was used as an adjustment factor to identify vulnerability. Results indicate that highly connected green spaces with high choice measure were associated with high risk of infection transmission. Socially deprived areas demonstrated higher possibility of infection spread even with moderate connectivity of the PGS. The study demonstrated that only applying a uniform social distancing measure without characterising the infrastructure and social conditions may lead to higher infection transmission.With the rapid development of computer technology, data collection becomes easier, and data object presents more complex. Data analysis method based on machine learning is an important, active, and multi-disciplinarily research field. Support vector machine (SVM) is one of the most powerful and fast classification models. The main challenges SVM faces are the selection of feature subset and the setting of kernel parameters. To improve the performance of SVM, a metaheuristic algorithm is used to optimize them simultaneously. This paper first proposes a novel classification model called IBMO-SVM, which hybridizes an improved barnacle mating optimizer (IBMO) with SVM. Three strategies, including Gaussian mutation, logistic model, and refraction-learning, are used to improve the performance of BMO from different perspectives. Through 23 classical benchmark functions, the impact of control parameters and the effectiveness of introduced strategies are analyzed. The convergence accuracy and stability are the main gains, and exploration and exploitation phases are more properly balanced. We apply IBMO-SVM to 20 real-world datasets, including 4 extremely high-dimensional datasets. Experimental results are compared with 6 state-of-the-art methods in the literature. The final statistical results show that the proposed IBMO-SVM achieves a better performance than the standard BMO-SVM and other compared methods, especially on high-dimensional datasets. In addition, the proposed model also shows significant superiority compared with 4 other classifiers.Water recovery from concentrated blackwater has been studied using air gap (AGMD), direct contact (DCMD) and vacuum membrane distillation (VMD) to deliver decentralised sanitation. Whilst good water quality was achieved with each configuration, differences in the rejection of volatile compounds was observed. VMD exhibited the highest rejection of volatiles, specifically ammoniacal nitrogen, of all the configurations but fouling inhibited total flux. DCMD exhibited a temperature dependent volatile rejection which resulted in poor rejection at lower feed temperatures (≤40 °C). AGMD was identified as the most promising configuration for application within decentralised sanitation, since the rejection of volatiles was consistent over a range of operating temperatures with ammonia rejection directly related to solution pH. An increase in organic colloids and particles due to faecal contamination reduced COD removal due to the induction of wetting, but was shown to be offset by adoption of a smaller pore size (0.1 μm), and when complemented with upstream solid-liquid separation within a fully integrated system, will provide a robust sanitation solution. Importantly, this work has shown that AGMD can recover water from concentrated blackwater close to international discharge and reuse regulations in a single stage process; this is significant as blackwater consists of only urine and faeces, and is thus 40 times more concentrated than municipal sewage. It is proposed that the water quality produced reflects a step change to delivering safe sanitation, and is complemented by a simple method for heat recovery integration this is similarly advantageous for resource constrained environments common to decentralised sanitation solutions.Some consequentialists argue that ordinary individuals are obligated to act in specific, concrete ways to address large-scale harms. For example, they argue that we should each refrain from meat-eating and avoid buying sweatshop-made clothing. The case they advance for such prescriptions can seem intuitive and compelling by acting in those ways, a person might help prevent serious harms from being produced at little or no personal cost, and so one should act in those ways. But I argue that such reasoning often relies on an overly simplistic assessment of the costs and benefits of those prescriptions, one that misconstrues or neglects important issues. Indeed, a closer look at those costs and benefits reveals just how little we often know about a number of real-world matters that bear on the expected consequences of the prescribed individual actions. Our predicament is one of radical uncertainty we currently lack a sound basis for concluding that the relevant actions are more likely to do good than to backfire. I distinguish this empirically grounded objection from others, which are not convincing-including one based on the mere conceivability of the actions in question backfiring and another based on the supposition that such actions cannot make a difference in addressing the massive problems at issue. The upshot is that, at least for now, consequentialist arguments for many specific individual actions aimed at addressing large-scale harms are inconclusive.Alkylbenzenes have a wide range of uses and are the most demanded aromatic chemicals. The finite petroleum resources compels the development of production of alkylbenzenes by non-petroleum routes. One-pass selective conversion of benzene and syngas to alkylbenzenes is a promising alternative coal chemical engineering route, yet it still faces challenge to industrialized applications owing to low conversion of benzene and syngas. Here we presented a Cu-ZnO-Al2O3/ZSM-5 bifunctional catalyst which realizes one-pass conversion of benzene and syngas to alkylbenzenes with high efficiency. This bifunctional catalyst exhibited high benzene conversion (benzene conversion of 50.7%), CO conversion (CO conversion of 55.0%) and C7&C8 aromatics total yield (C7&C8 total yield of 45.0%). Characterizations and catalytic performance evaluations revealed that ZSM-5 with well-regulated acidity, as a vital part of this Cu-ZnO-Al2O3/ZSM-5 bifunctional catalyst, substantially contributed to its performance for the alkylbenzenes one-pass synthesis from benzene and syngas due to depress methanol-to-olefins (MTO) reaction. Furthermore, matching of the mass ratio of two active components in the dual-function catalyst and the temperature of methanol synthesis with benzene alkylation reactions can effectively depress the formation of unwanted by-products and guarantee the high performance of tandem reactions.
The online version contains supplementary material available at 10.1007/s10562-021-03617-5.
The online version contains supplementary material available at 10.1007/s10562-021-03617-5.The lower abdominal tissue is still the most common donor site used for free autologous breast reconstruction. If this site is not available, multiple secondary choices exist. The transverse upper gracilis flap is a valuable choice and it can be used alone or in combination with other flaps. We present a case of a 49-year-old patient who underwent delayed unilateral breast reconstruction by using a double transverse upper gracilis flap. Due to venous thrombosis, the flap inserted in the lower pole was lost. We managed the complication tailoring a latissimus dorsi flap to close the defect. We reported the advantages of the latissimus dorsi flap as a rescue solution and its superior aesthetic result in this particular case. Breast reconstruction with transverse upper gracilis flap in addition to the latissimus dorsi flap allowed us to obtain an adequate breast volume avoiding the use of breast implants as desired by the patient. We thought that the double free transverse upper gracilis flap for delayed, or immediate unilateral reconstruction of small to moderate breast could be a valuable option to avoid the use of implants and when abdominal tissue is not available. However, it should be taken into consideration the shortness of the transverse upper gracilis pedicle, the necessity to perform a retrograde flow anastomosis at the level of the internal mammary, and the discrepancy of skin color tones with the receiving site. Proteasome inhibitor The latissimus dorsi flap was an excellent rescue solution and put in evidence the aesthetic superiority of this flap compared to the transverse upper gracilis flap.In this article, we are studying fractional-order COVID-19 model for the analytical and computational aspects. The model consists of five compartments including; ` ` S c ″ which denotes susceptible class, ` ` E c ″ represents exposed population, ` ` I c ″ is the class for infected people who have been developed with COVID-19 and can cause spread in the population. The recovered class is denoted by ` ` R c ″ and ` ` V c ″ is the concentration of COVID-19 virus in the area. The computational study shows us that the spread will be continued for long time and the recovery reduces the infection rate. The numerical scheme is based on the Lagrange's interpolation polynomial and the numerical results for the suggested model are similar to the integer order which gives us the applicability of the numerical scheme and effectiveness of the fractional order derivative.Against the backdrop of a global pandemic, this study investigates how U.S. higher education leaders have centered their crisis management on values and guiding ethical principles. We conducted 55 in-depth interviews with leaders from 30 U.S. higher education institutions, with most leaders participating in two interviews. We found that crisis plans created prior to the COVID-19 pandemic were inadequate due to the long duration and highly uncertain nature of the crisis. Instead, higher education leaders applied guiding principles on the fly to support their decision-making. If colleges and universities infuse shared values into their future crisis plans, they will not have to develop a moral compass on the fly for the next pandemic. This paper suggests the following somewhat universal shared values (1) engage in accuracy, transparency, and accountability; (2) foster deliberative dialog; (3) prioritize safety; (4) support justice, fairness, and equity; and (5) engage in an ethic of care. To navigate ethics tensions, leaders need to possess crisis-relevant expertise or ensure that such expertise is present among crisis management team members. Standing up formal ethics committees composed of diverse stakeholders also is instrumental in navigating tensions inherent in crises. The next pandemic is already on the horizon according to experts. Through infusing values into future crisis plans, higher education leaders can be confident that their responses will be grounded in their communities' shared values.
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