Central Face Research Articles

How can infectious medical waste be forecasted and transported during the COVID-19 pandemic? A hybrid two-stage method

The COVID-19 pandemic has caused an unforeseen collapse of infectious medical waste (IMW) and an abrupt smite of the conveying chain. Hospitals and related treatment centers face great challenges during the pandemic because mismanagement may lead to more severe life threats and enlarge environmental pollution. Opportune forecasting and transportation route optimization, therefore, are crucial to coping with social stress meritoriously. All related hospitals and medical waste treatment centers (MWTCs) should make decisions in perspective to reduce the economic pressure and infection risk immensely. This study proposes a hybrid dynamic method, as follows: first to forecast confirmed cases via infectious disease modeling and analyze the association between IMW outflows and cases; next to construct a model through time-varying factors and the lagging factor to predict the waste quantity; and then to optimize the transportation network route from hospitals to MWTCs. For demonstration intentions, the established methodology is employed to an illustrative example. Based on the obtained results, in finding the process of decision making, cost becomes the common concern of decision-makers. Actually, the infection risk among publics has to be considered simultaneously. Therefore, realizing early warning and safe waste management has an immensely positive effect on epidemic stabilization and lifetime health.

ImpalaE: Towards an optimal policy for efficient resource management at the edge

Edge computing is an extension of cloud computing where physical servers are deployed closer to the users in order to reduce latency. Edge data centers face the challenge of serving a continuously increasing number of applications with a reduced capacity compared to traditional data center. This paper introduces ImpalaE, an agent based on Deep Reinforcement Learning that aims at optimizing the resource usage in edge data centers. First, it proposes modeling the problem as a Markov Decision Process, with two optimization objectives: reducing the number of physical servers used and maximize number of applications placed in the data center. Second, it introduces an agent based on Proximal Policy Optimization, for finding the optimal consolidation policy, and an asynchronous architecture with multiple workers-shared learner that enables for faster convergence, even with reduced amount of data. We show the potential in a simulated edge data center scenario with different VM sizes based on Microsoft Azure real traces, considering CPU, memory, disk and network requirements. Experiments show that ImpalaE effectively increases the number of VMs that can be placed per episode and that it quickly converges to an optimal policy.

Digital rights in digital exclusion settings: the experiences of institutionalised youth in Portuguese detention centres

ABSTRACT Institutionalised youths who are digitally disconnected while long-standing in detention centres (in Portugal, these are called educational centres) face constraints to their digital rights. Given that most youths already come from deprived contexts, their present and future lives are deeply challenged. This article explores data collected in the participatory project DiCi-Educa, based on institutionalised youths’ digital media production and critical thinking, regarding issues such as digital citizenship, participation, and otherness. Using a participatory action research (PAR) methodology, they were stimulated to widen their views of the world and reflect on their digital rights and acts of participation using digital media. Institutionalised youths’ understandings before the project were centred on the use of social media, video games, illegal downloads, and hacking. Thus, during the project, they were challenged to debate participatory acts using the internet and digital media as tools for social change. The results point to these tools as relevant opportunities to the disconnected settings of the ECs. We recommend the need to tackle critical methods for thinking the digital realm as a path to building critical skills with these youths. Widening their views of the world can stimulate their well-being and contribute to avoiding risky behaviours.

Negotiating Survival: Central American Refugee Women in Mexico and the Politics of Deservingness

This article aims to analyse the difficulties Central American refugee women face when applying for refugee protection in Mexico and how they negotiate survival during this process. Claiming refugee protection is an important legal mechanism to ensure survival, but managing this process successfully is difficult, not only because of the bureaucratic complexities but also because of structural and political constraints. Research has addressed the difficulties migrant women face while in transit and in the United States, but there is less analysis on the limitations in accessing refugee protection in transit countries such as Mexico. Therefore, this article examines the main barriers women face by considering the social and spatial specifics of two different reception sites, the southern Mexican city of Tapachula and Mexico City, in the centre of the country. Drawing on ethnographic field research and interviews with refugees and practitioners, this research seeks to understand women’s agency in dealing with adversity in reception contexts. Analysis showed that women need to engage in micro‐level negotiations with gatekeepers in host communities to gain access to humanitarian assistance and social rights. In addition, it has showed that access to scarce resources depends on personal performance in terms of vulnerability and “deservingness.” This demonstrates the complexities refugee women encounter in the local context, but also the role of institutional constraints to humanitarian attention in contrast to an integral understanding of rights. Furthermore, the obstacles faced by refugees and the generation of uncertainty and waiting must be analysed as a political strategy to prevent effective access to asylum in Mexico.

Foveal vision determines the perceived emotion of face ensembles.

People can extract summary statistical information from groups of similar objects, an ability called ensemble perception. However, not every object in a group is weighted equally. For example, in ensemble emotion perception, faces far from fixation were weighted less than faces close to fixation. Yet the contribution of foveal input in ensemble emotion perception is still unclear. In two experiments, groups of faces with varying emotions were presented for 100 ms at three different eccentricities (0°, 3°, 8°). Observers reported the perceived average emotion of the group. In two conditions, stimuli consisted of a central face flanked by eight faces (flankers) (central-present condition) and eight faces without the central face (central-absent condition). In the central-present condition, the emotion of the central face was either congruent or incongruent with that of the flankers. In Experiment 1, flanker emotions were uniform (identical flankers); in Experiment 2 they were varied. In both experiments, performance in the central-present condition was superior at 3° compared to 0° and 8°. At 0°, performance was superior in the central-absent (i.e., no foveal input) compared to the central-present condition. Poor performance in the central-present condition was driven by the incongruent condition where the foveal face strongly biased responses. At 3° and 8°, performance was comparable between central-present and central-absent conditions. Our results showed how foveal input determined the perceived emotion of face ensembles, suggesting that ensemble perception fails when salient target information is available in central vision.

Fermentation Conditions Affect the Synthesis of Volatile Compounds, Dextran, and Organic Acids by Weissella confusa A16 in Faba Bean Protein Concentrate.

Fermentation with Weissella confusa A16 could improve the flavor of various plant-based sources. However, less is known about the influence of fermentation conditions on the profile of volatile compounds, dextran synthesis and acidity. The present work investigates the synthesis of potential flavor-active volatile compounds, dextran, acetic acid, and lactic acid, as well as the changes in viscosity, pH, and total titratable acidity, during fermentation of faba bean protein concentrate with W. confusa A16. A Response Surface Methodology was applied to study the effect of time, temperature, dough yield, and inoculum ratio on the aforementioned responses. Twenty-nine fermentations were carried out using a Central Composite Face design. A total of 39 volatile organic compounds were identified: 2 organic acids, 7 alcohols, 8 aldehydes, 2 alkanes, 12 esters, 3 ketones, 2 aromatic compounds, and 3 terpenes. Long fermentation time and high temperature caused the formation of ethanol and ethyl acetate and the reduction of hexanal, among other compounds linked to the beany flavor. Levels of dextran, acetic acid, and lactic acid increased with increasing temperature, time, and dough yield. Optimal points set for increased dextran and reduced acidity were found at low temperatures and high dough yield. Such conditions would result in hexanal, ethyl acetate and ethanol having a relative peak area of 35.9%, 7.4%, and 4.9%, respectively.

Shaking table test on seismic response of a planar irregular structure with differential settlements of foundation

The differential settlement of the foundation not only causes the degradation of the static performance of structures, but also affects the seismic performance. To investigate the seismic response of a planar irregular steel frame structure under differential settlement of foundation, we proposed a method to mimic multi-point differential settlement of foundations of scaled models steel frame structures. Four columns in the settlement location are adjusted downward to the set settlement distance, and then, the columns are fixed with nuts to achieve the effect of settlement in one location. Then a shaking table test was carried out on a scaled-down building model to analyze the dynamic responses of the structure. Eight seismic waves and three ground shaking intensities were set to represent frequent, moderate, and rare earthquakes. The seismic response, location changes, and torsion of the irregular planar structure were analyzed via shaking table tests under different seismic waves with frequent, moderate, and rare earthquake excitation, as well as changing parameters such as settlement location and settlement depth. The results show that compared with other locations, when a differential settlement of the foundation occurs in the corner location of the structure plane, the structure is more likely to be torsional and more prone to seismic damage. For the same seismic intensity and settlement depth, the settlement location at the corner of the structure face exhibited the greatest seismic response to the structure. In contrast, the settlement located near the center of the structure face had the least effect on the seismic response of the structure. The proposed method enables a fast and efficient way to understand the dynamic response of the structures with differential settlement of foundations, which will further benefit the development and optimization of the seismic strengthening scheme for these structures.

The political economy of complexity: The case of cyber-communism

This article analyzes cyber-communism and the feasibility of central planning from complexity theory. It first introduces the most known definitions of complexity in economics, namely computational and dynamic complexity. This enables to construct a complexity political economy from which then deal with cyber-communism. This political economy highlights the notion of cultivation, as a natural selection approach to established successful institutions and rules. In contrast to cultivation, the article presents the notion of control, which corresponds to traditional political economy, as the belief in the effective alteration of economic variables by a group of planners or policymakers. This work emphasizes some problems central planning faces: self-reference, noncomputability of optimal points, reflexivity, and less adaptive capacity. It concludes that cyber-communism conflicts with a complexity political economy based on cultivation, and that cyber-communist planning is not realistic, ultimately meaning that technology cannot allow and effective socialist planning.

Valorization of Waste Cooking Oil into Biodiesel via Bacillus stratosphericus Lipase Amine-Functionalized Mesoporous SBA-15 Nanobiocatalyst

In this study, evaporation-induced self-assembly was applied to prepare amine-functionalized nano-silica (NH2-Pr-SBA-15). That was simply used to immobilize Bacillus stratosphericus PSP8 lipase (E–NH2–Pr-SBA-15), producing a nanobiocatalyst with good stability under vigorous shaking and a maximum lipase activity of 45 ± 2 U/mL. High-resolution X-ray diffractometer, Fourier transform infrared spectroscopy, N2 adsorption-desorption, field-emission scanning electron, and high-resolution transmission electron microscopic analyses proved the successful SBA-15 functionalization and enzyme immobilization. Response surface methodology based on a 1/2 fraction-three-levels face center composite design was applied to optimize the biodiesel transesterification process. This expressed efficient percentage conversion (97.85%) and biodiesel yield (97.01%) under relatively mild operating conditions: 3.12 : 1 methanol to oil ratio, 3.08 wt.% E–NH2–Pr-SBA-15 loading, 48.6°C, 3.19 h at a mixing rate of 495.53 rpm. E–NH2–Pr-SBA-15 proved to have a long lifetime, operational stability, and reusability.

THE LEARN EARLY PROJECT: LEARNING EDUCATORS ANAPHYLAXIS RESPONSE NEEDS

<h3>Introduction</h3> With the Incidence of food allergies on the rise, and more studies demonstrating the disproportionate impact on Black and Hispanic children, it is crucial that allergists investigate and begin to address these disparities. A significant gap in this area is the role that daycares and preschools may play in helping to prevent anaphylaxis and death. <h3>Method</h3> The LEARN Early Project partnered with 17 Head-Start centers to investigate barriers they face in managing food allergies. Individual needs assessments were performed as well as food allergy knowledge tests. The results of these were then discussed in focus groups to identify potential areas for improvement as well as solutions. <h3>Results</h3> Significant variability exists in the structure of each Head Start center which presents implementation dilemmas. Additionally, there is no standardization of epinephrine training or food allergy training. In general, educators tended to over-estimate their food allergy knowledge as well as their capability of managing food allergy emergencies in comparison to that of center directors. Finally, despite some legislation appearing to support policies surrounding food allergy, such as stock epinephrine, early childcare centers are sometimes considered exceptions to these policies. <h3>Conclusion</h3> Identifying barriers that early learning centers face in providing for children with food allergies is critical in ensuring equitable, and safe care. These barriers are likely distinct for each center, but general themes were identified. It is likely that these needs will continue to evolve, and it is important to continue to reassess these needs to ensure we are implementing appropriate solutions.

A novel edge center-based gradient-smoothing element method for 2D and 3D coupled thermoelasticity analyses

In this paper, an edge center-based gradient-smoothing element method is proposed for coupled thermoelasticity problems. The main achievement in our work is to construct the linear gradient field inside the element and ensure the consistency of gradient at the junction center of the element, including edge center of triangular element and face center of tetrahedral element. Hence, smoother stress and temperature gradient fields using low-order element are obtained in coupled thermoelasticity analysis without additional post-processing. With the proposed methods, superior accuracy and convergence characteristics are demonstrated compared with other methods through a series of 2D and 3D numerical tests.

Antioxidant and antidiabetic activities of a polyphenol rich extract obtained from Abelmoschus esculentus (okra) seeds using optimized conditions in microwave-assisted extraction (MAE).

Functional foods have gained popularity in recent decades. They are exploited for their bioactive compounds like polyphenols, which are highly demanded in cosmetic, pharmaceutical and nutraceutical industries. However, extractive techniques and conditions used up to recently are almost obsolete and must be optimized for higher efficiency. The current study aimed to evaluate the antidiabetic potential of an optimized extract of Abelmoschus esculentus (okra) seeds. The optimal conditions for extracting polyphenolic compounds from okra seeds were determined using Microwave Assisted Extraction (MAE). A Face Center Composite Design (FCCD) was used for optimization. Solvent/dry matter ratio, wavelength and time were considered while the response studied was the polyphenolic content. The extract obtained at optimal conditions was characterized using Thin Layer Chromatography (TLC) and Fourier Transform Infra-Red (FTIR) spectroscopy, then tested for its antioxidant, alpha amylase inhibitory and antidiabetic activities. Response Surface Methodology (RSM) permitted the determination of the optimal conditions for phenols extraction as: microwave power 330 W, with a solvent ratio of 97.04/1 mL/g for 9.5 min of extraction time. The optimized extract showed a phenolic content up to 86.37 ± 1.13 mg GAE/g containing quercetin and catechin as revealed by the TLC. Functional groups characteristic of polyphenols were identified on FTIR spectra, and the extract exhibited good in vitro antioxidant capacities with DPPH (2, 2-diphenyl-1-picrylhydrazyl) radical scavenging capacity and FRAP (Ferric Reducing Antioxidant Power Assay). An IC50 of 3.99 ± 0.15 μg/mL was obtained with the DPPH scavenging test. Alpha amylase inhibitory assay revealed that the optimized okra extract behaved as a non-competitive inhibitor of porcine pancreatic amylase with an IC50 of 484.17 ± 2.33 μg/mL. Antidiabetic activity of the extract was observed in streptozotocin-induced diabetic males Wistar rats, as shown by the fasting blood glucose levels, food intake, changes in body weight and serum lipid profile among others.

Looking more masculine among females: Spatial context modulates gender perception of face and biological motion.

Perception of visual information highly depends on spatial context. For instance, perception of a low-level visual feature, such as orientation, can be shifted away from its surrounding context, exhibiting a simultaneous contrast effect. Although previous studies have demonstrated the adaptation aftereffect of gender, a high-level visual feature, it remains largely unknown whether gender perception can also be shaped by a simultaneously presented context. In the present study, we found that the gender perception of a central face or a point-light walker was repelled away from the gender of its surrounding faces or walkers. A norm-based opponent model of lateral inhibition, which accounts for the adaptation aftereffect of high-level features, can also excellently fit the simultaneous contrast effect. But different from the reported contextual effect of low-level features, the simultaneous contrast effect of gender cannot be observed when the centre and the surrounding stimuli are from different categories, or when the surrounding stimuli are suppressed from awareness. These findings on one hand reveal a resemblance between the simultaneous contrast effect and the adaptation aftereffect of high-level features, on the other hand highlight different biological mechanisms underlying the contextual effects of low- and high-level visual features.

Abnormal Fibroblasts Drive Pigmentary Skin Lesions in a Mouse Model of Carney Complex

Carney complex (CNC) is a rare autosomal dominant tumor predisposition syndrome that features focal skin pigmentation, myxomas, endocrine overactivity, and pigmented schwannomas (Carney et al., 1985). Abnormal skin pigmentation is seen in >80% of patients with the syndrome. Although lentiginosis in the central face, lips, and other areas (e.g., inside the mouth, canthus of the eyes, external genitalia) is the most common finding (Figure 1), individuals may also have Spitz, blue, or other nevi (Saggini and Brandi, 2011).

Effect of Interstitial Oxygen in Stainless Steel 316L Formed Via Laser Powder Bed Fusion on Corrosion Properties

Laser powder bed fusion (PBF) has been used to create structures of many different alloys including stainless steels (SS). In contrast to SS prepared via conventional approaches, PBF-produced SS often contains a high concentration of oxygen. It is generally believed that the oxygen primarily exists as oxide inclusions with diameters ranging from tens of nanometers to several microns. Thermodynamic calculations also show that the solubility of the oxygen is extremely low in the liquid, face center cubic (FCC), or body center cubic phases that are relevant to the composition of the SS investigated in this study. Additionally, these calculations predict that majority of oxygen stays in the metastable MnSiO3 phase. In this study, we perform multi-scale, quantitative electron microscopic analysis on the as-printed SS 316L and find that a large amount of oxygen actually exists in the interstitial sites of the alloy lattice, suggesting that oxygen might have been trapped in the alloy substrate during the rapid cooling process of PBF. The observations from the atomic-scale-resolution characterization are supported by the first principles simulations through density functional theory calculations, which reveal that oxygen can stay energetically stable in the octahedral site of the FCC structure. Additionally, these interstitial oxygen atoms can form ionic bonds with the neighboring metal atoms, with a particularly high affinity towards Cr atoms. The presence of interstitial oxygen in the SS substrate appears to assist the surface passivation processes and lead to the exceptionally high pitting potential. The identification of a large amount of interstitial oxygen in the alloy may have a profound impact on the design of strong, tough, and corrosion resistant alloys.

Designing a Component-Based Throttled Load Balancing Algorithm for Cloud Data Centers

Cloud services are accessed from different geographical locations where client migration or switching from one server to another based on the loads is a common phenomenon. One of the most critical challenges the cloud data centers face is managing the loads over geographically dispersed data centers and their virtual machines (VMs). VMs need to be balanced with the varied loads or dynamics of traffic. There are possibilities of the highest loads to be tolerated by the VMs over the cloud servers without crashing. Load balancing issues are managed by load balancing algorithms. Load balancing algorithms have varied issues of efficiency due to certain parameters like the capability of the lowest resource utilization, response time, higher overhead while checking the idle or normal nodes, and many others. Throttled load balancing algorithm manages loads of the virtual machines by dividing the virtual machines into two segments, that is, “available” and “free.” To do this, the throttled algorithm uses a single component to assign the virtual machines and other tasks. The throttled algorithm utilizes only the first VMs available, the next, and so on. These strategic issues most often degrade the performance of the applied load balancing algorithm. Such issues create a curiosity to enhance this algorithm’s performance for efficiently managing the dynamic loads of the cloud VMs. This research paper proposes a component-based throttled load balancing algorithm with VM reader, free VM holder, and free VM manager components. The VM reader component reads all available VMs. The free VM component holds free VMs temporarily until they are moved to the free VM manager component. For the performance test, the cloud analyst simulation tool was used. Based on the comparative analysis with the other five popularly used load balancing algorithms, the component-based algorithm’s performance is significantly enhanced. The proposed algorithm resulted in 325.30-microsecond response time and 27.12-microsecond processing time by the closest data center service broker policy. The newly proposed “component-based throttled load balancing algorithm” is found to be better than the existing throttled algorithm and the other five selected algorithms in terms of response time, processing time, and resource utilization.

Uncomfortable knowledge in central banking: Economic expertise confronts the visibility dilemma

How do central bankers cope with the uncomfortable fact that there are significant limits to their expertise without losing authority? Drawing on Steve Rayner’s concept of ‘uncomfortable knowledge’, this paper undertakes a historical examination of the early years of Paul Volcker’s role at the head of the Federal Reserve, and then traces the ways in which the uncomfortable fact of ignorance has been dealt with in the years since then: from the reflexive and experimental approach of the 1980s, through the dismissal and displacement of the Great Moderation, to the exceptionalism and new experimentalism of the post-2008 era. In each of these eras, I argue that central banks face a visibility dilemma: their expertise must be visible enough to demonstrate their mastery but not so conspicuous that the often ad hoc and uncertain nature of their craft generates political push-back about their role and authority.

A review of the evidence for Mohs micrographic surgery. Part 2: basal cell carcinoma.

Mohs micrographic surgery (MMS) is considered the gold-standard treatment for basal cell carcinoma (BCC) particularly for sites with a high-risk of incomplete excision such as the central face, for tumours with an aggressive growth pattern and consequent unpredictable subclinical extension and for recurrent tumours. However, the process is more time-consuming than for standard excision (SE), and the magnitude of benefit is uncertain. This article aims to provide a more complete picture of current evidence, including a review of cosmetic outcomes, tissue-sparing ability and cost-effectiveness of MMS. Although robust evidence is lacking, there is a large volume of observational data supporting a low recurrence rate after MMS. The risk of incomplete excision and higher recurrence rate of standard excision favours the use of MMS at high-risk sites. There is some low-certainty evidence that MMS results in a smaller defect size compared with SE, and that incomplete excision with SE results in larger defects. Larger defects may affect cosmetic outcome but there is no direct evidence that MMS improves cosmetic outcome compared with SE. There is conflicting evidence regarding the cost of MMS compared with SE, as some studies consider MMS less expensive than SE and others consider it more expensive, which may reflect the healthcare setting. A multicentre 10-year randomized controlled trial comparing MMS and SE in the treatment of high-risk BCC would be desirable, but is unlikely to be feasible or ethical. Collection of robust registry data capturing both MMS and SE outcomes would provide additional long-term outcomes.

Fine-tuning fertilizer applications in organic cool-season leafy green crops can increase soil quality and yields

Organic cool-season vegetable growers on the Central Coast face challenges in applying nitrogen (N) to balance yields with new environmental regulations. It is hard to time fertilizer applications while calculating N mineralization of soil organic matter and organic fertilizers to plant-available N. Organic fertilizers with high phosphorus (P) to N ratios may elevate P levels and harm surface water quality. In this study, we evaluated (1) mineralization of soil organic matter and fertilizers, (2) effectiveness of residual soil nitrate-N tests and (3) long-term impacts of organic fertilizers on P levels and soil microbial activity. We found that mineralization of N from soil organic matter provided limited N to leafy green vegetables. Soil tests were more reliable in heavier than sandier soils. Application rates of 4-4-2 were calculated to meet N demands, resulting in an oversupply of P. However, only 9% to 17% of fertilizer P solubilized without elevating available soil P levels. While it's difficult for organic vegetable growers to use cover crops, organic fertilizers increased carbon levels, resulting in higher levels of soil microbial activity.

Simulated daily readout for maintaining nuclear medicine education in residency training amidst declining case volume: evidence from the COVID-19 pandemic.

Simulated daily readout (SDR) is a teaching initiative in radiology and nuclear medicine developed to simulate a resident's experience during periods of case volume reduction. SDR was employed by many training centers during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to evaluate the perception of radiology residents on the effectiveness of SDR. The SDR was conducted in the nuclear medicine rotations from 2019 to 2020 during the shutdown of the radionuclide imaging facilities using a combination of strategies including case selection, assignment, reporting and feedback. A brief 8-item questionnaire with Likert scale values was completed by radiology residents who participated in the SDR-based nuclear medicine rotations. Thirty-five of 54 residents returned the questionnaire. The majority of residents affirmed the negative impact of the reduction in case volume on their training experiences and perceived that SDR could alleviate the effects. The SDR strategies perceived as more effective were targeted case selection, in-advanced assignment, verbal interpretation and reporting, and verbal feedback. The radiology residents perceived the SDR as an effective tool to preserve their training experiences. The SDR has the potential to be a useful initiative when teaching centers face the threat of declining case volume.