Application Of Different Strategies Research Articles

Evaluation in the Context of Early Language Education Activities

A subject around which a series of specialized debates revolve is evaluation, which is attributed the quality of being an integrative element of the educational process, alongside teaching and learning. In the context of current pedagogical thinking, evaluation is an action focused on the child's learning process, engaging their cognitive processes, as well as the regulation and self-regulation of knowledge. In other words, the process of evaluation goes beyond its traditional meaning – that of control, examination, and sanction – and tends towards a dynamic focused particularly on the child's mental processes, so that they can be aware of what they learn, how they learn, and especially why they learn. In this article, we have attempted to present some aspects related to didactic evaluation seen as a validation of the correctness of educational sequences, components of the didactic process, and a means of delimiting, fixing, and intervening in educational content and objectives. Educational activity in kindergarten is complex and requires varied, multiple forms of evaluation adapted to the particularities of preschoolers. The diversity of teaching situations, as well as the multitude of evaluation objectives, require the conception and application of different strategies to mediate the evaluative process

Late-stage functionalization of the 4-amino-2-pyridone chemotype using electrochemical and MCR approaches.

We report the development and application of different strategies for the late-stage functionalization (LSF) of the biologically relevant 4-amino-2-pyridone chemotype. Using the recently discovered PCSK9 inhibitor 5c as a prototype, a series of electrochemical LSF (e-LSF) and multicomponent LSF (MCR-LSF) have been set-up to decorate the 4-amino-2-pyridone scaffold. The usefulness of these methods has been demonstrated by generating a series of novel derivatives in a site-selective and sustainable way.

Synthesis strategies of metal-organic frameworks for CO2 capture

The high consumption of fossil energy has led to increasing concentrations of carbon dioxide (CO2) in the atmosphere, making carbon capture and separation a research hotspot in this century. As novel porous materials, metal-organic frameworks (MOFs) are widely used for CO2 capture due to their unique structures and tunable properties. Currently, several relatively mature strategies have been applied to synthesize MOFs for CO2 capture. Herein, we investigate strategies for tuning the pore windows, pore sizes, open metal sites, and post-synthesis or pre-synthesis modifications of MOFs from the perspective of CO2 capture performance. Furthermore, we summarize the relevant CO2 capture technologies and research advances and describe the application of different strategies in the synthesis of CO2 capture-oriented MOFs.

Analysis of alternative strategies applied to Naïve-Bayes classifier into the recognition of electrofacies: Application in well-log data at Recôncavo Basin, North-East Brazil

This paper is concerned with the applicability of different strategies to improve the definition of prior probabilities and/or likelihoods of naïve Bayes (NB) classifiers. Standard NB method computes likelihoods and priors by means of normal distributions and evaluation of the entire training data-set, respectively. NB is one of the most prolific classification methods in data mining and machine learning. Despite decent efficiency facing good training data, NB classifiers present the intriguing assumption of conditional independence between the attributes. Several algorithms have been proposed to improve the effectiveness of NB classifiers by inserting discriminant approaches into its generative structure. From a reliability perspective, the standard NB approach might not explore the real capabilities of NB classifiers facing the lithologic classification problem. To cover such distrust, a novel approach considering four particular strategies are suggested and compared to the standard NB classification outcomes. At first, a kernel density estimation (KDE) is considered to ameliorate the likelihood models. We also apply the NB classifier in parts by separating the training data-set in individual wells in a committee architecture framework. A tuning strategy is also considered for automatic estimation of prior probabilities in an optimization-scheme. Another novel alternative, named as CRC, adapted to the standard NB classifier consists in defining priors based on depth zones from regional stratigraphic information in which to apply NB classifier. We prepare an extensive statistical investigation, based on precision, recall, classification errors, fscores and confusion matrices to bespeak the most relevant NB strategy for classification of electrofacies. Despite the decent classification outcomes for all above-mentioned strategies, CRC can be considered, by a narrow margin, the most prolific method to be applied as an improvement of the standard NB to classify rock units. Tests are performed on a validation well (i.e., 7-MP-50D-BA) of Massapê Field, in Recôncavo Basin, northeast Brazil to highlight the classification particularities provided by the improved strategy. A significant improvement in the classification of sandstones (i.e., from 68 % to 83 % accuracy) is observed, according to the confusion matrix analysis. Additionally, a minimal decreasing is observed into the classification of shales and slurries (i.e., from 92% to 90% and to 63% to 56%, respectively), which is acceptable according to the fscores and errors. This aspect reinforces the relevance of using the NB classifier jointly with previous geologic information to optimize the lithologic classification.

PBM, one more step in the ERAS program

Objectives: PBM (Patient Blood Management) is the application of different strategies to maintain the haemoglobin concentration, optimize coagulation and minimize the blood loss. PBM has demonstrated to improve the outcomes of surgical patients. In 2020 the Spanish guidelines for ERAS (called RICA - Recovery Intensification for optimal Care in Adult’s surgery-) were published with new recommendations that were properly PBM strategies.

Hybrid and approximate algorithms for the dial-a-ride problem with adaptive ride times considering different service strategies

The dial-a-ride problem (DARP) is that of satisfying a number of pickup and drop-off customer requests, using a fleet of vehicles. In real life, traffic conditions can affect expected travel times, and hence the satisfaction of rigid pickup/drop-off time windows and scheduled ride times. This article considers the DARP with customer-adaptive ride times under different service conditions and strategies. The problem is formulated as a mixed integer linear programming model that minimizes service cost and customer inconvenience. A hybrid genetic–variable neighbourhood search algorithm (GAVNS) is proposed to solve the problem. Experiments are conducted to compare the performance of GAVNS with that of an approximate column generation algorithm, and to evaluate the application of different strategies on service efficiency and customer satisfaction. The results demonstrate the efficiency of GAVNS, and that limited violations of time-window and ride-time constraints can improve the service efficiency while preserving customer satisfaction levels.

Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis.

New technologies are supported by the global implementation of the internet. These improvements have deeply affected various disciplines of sciences and consequently changed services such as daily business, particularly health sectors. Innovative digital marketing strategies utilize the channels of social media and retrieved user data to analyze and improve relevant services. These multidisciplinary innovations can assist specialists, physicians and researchers in diagnostic, prophylaxis and treatment issues in the health sector. Accordingly, compared to recent decades, health decision makers are more accurate and trustful in defining new strategies. Interestingly, using social media and mobile health apps in current pandemics of SARS-CoV-2 could be an important instance of the key role of these platforms at the local and global level of health policies. These digital technologies provide platforms to connect public health sectors and health politicians for communicating and spreading relevant information. Adding influencers and campaigns to this toolbox strengthens the implementation of public health programs. In 2016, the WHO adopted a global program to eliminate viral hepatitis by 2030. Recent constructive measures that have been used in the battle against COVID-19 could be adopted for the elimination of viral hepatitis program. The presented evidence in our narrative review demonstrates that the application of digital marketing tools to create campaigns on social media, armed with professional influencers, can efficiently consolidate this program. The application of different strategies in using these popular tools will raise the public awareness about viral hepatitis. Subsequently, the availability of an effective vaccine for HBV and antiviral medication for HCV can motivate the audience to take steps towards prophylaxis and screening methods against these infectious illnesses. The encouragement of health policy makers to apply digital communication technologies and comprehensive roadmaps to implement this global program will certainly decrease the burden of viral hepatitis worldwide.

Efficient utilization and management of seaweed biomass for biogas production

The global trend of seaweed production and their biomass utilization for biofuels generation is increased due to the high carbohydrate and protein content. Anaerobic digestion (AD) is a promising technology to convert organic compounds of seaweed biomass into biogas. However, a comprehensive review enclosing the biomethane potential, process parameters, microbial shifts, and effective approaches to enhance the digestibility and biogas production from seaweeds has not been reported. Thus, this article aims to explore, classify, and comprehensively present the potential of seaweeds for biogas production. The global trend of biofuels including biogas production from seaweed biomass is elucidated. The effect of seasonal variations on the biochemical composition of seaweeds is highlighted. The microbial community involved in AD of seaweeds is discussed. This article also covers the pretreatments, co-digestion, supplementation of additives, and sequential utilization of seaweeds to enhance biogas production. The seasonal variations significantly affected the composition of seaweeds and subsequently altered the content of inhibitory compounds. The application of different strategies (such as pretreatment) mitigated the effect of inhibitors and boosted biogas production. Firmicutes and Bacteroidetes were reported to be the major bacteria and Methanobacteriales were the dominant archaea during the digestion of seaweeds. Extensive research on microbial dynamics and the application of co-digestion is still needed to achieve complete utilization of biomass coupled with biogas enhancement.

Abstract PO-077: Access to care as a contributing factor to underlying disparities in Hispanic women with ovarian cancer in the United States

Abstract In the United States, ovarian cancer accounts for only 3% of all cancers in U.S. women. Ovarian cancer trends in the United States report the highest incidence in non-Hispanic white women with Hispanic women having the second highest incidence. Ovarian cancer disparities are present within the Hispanic population because Hispanic women are more likely to be diagnosed with ovarian cancer, not only at an earlier age than non-Hispanic groups, but also at an earlier stage (I-II). Ovarian cancer has the highest mortality among gynecological malignancies in Hispanics, resulting from various factors including unequal access to screening and treatment disparities, such as adherence to treatment and volume-outcome paradigm. Outcomes are paradoxical among Hispanic women, because while a high proportion are diagnosed younger and at early stages, typically associated with improved survival outcomes, they are more likely to not receive the standard of care, which involves more than providing insurance, access, and the services patients need. Inequitable access to care can lead to noticeable differences in health, especially within the Hispanic community in the United States. Our objective is to define access within a conceptual framework of five dimensions—1) approachability; 2) acceptability; 3) availability and accommodation; 4) affordability; and 5) appropriateness—specifically in relation to ovarian cancer disparities in Hispanic women in the US. Utilizing these dimensions, we summarize available knowledge about how inequitable access to care contributes to the underlying disparities that Hispanic women in the US experience, focusing particularly on social determinants of health, as well as adherence to care and the volume-outcome relationship. The health care system needs to develop innovative strategies to educate and inform the surrounding Hispanic communities Despite the limited data available, we summarize the available literature and propose the application of different strategies to help address the potential—systemic, logistic, and geographic—barriers that affect how Hispanic women with ovarian cancer access health care, in order to implement a health care delivery system that is equitable. Citation Format: Claudia B. Schiavo, Guillermo Armaiz. Access to care as a contributing factor to underlying disparities in Hispanic women with ovarian cancer in the United States [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-077.

Convective Heat Pump Dryers and Evaluation of Their Efficiency

The article is committed to surveys of drying agrarian products using heat pump dryers; it highlights the most issues of energy saving in thermal and solar dryers. Also in this work, the issues of the application of different strategies of utilizing the heat of the squander drying agent amid convective drying of products are analyzed. Provides important data on the issue of developing energy-saving solar dryers using heat pumps, which is able, diminish energy consumption for drying fruits and vegetables and get high-quality dried products.

Linguistic variation in subtitling for audiovisual media in Portugal: case study of the film Gone with the Wind

Film subtitling involves per se a number of constraints. However, when characters speak with a particular dialect or accent, the task is even more complex. Linguistic variation is a key factor in depicting a film character and the translator will consider the implications of his/her choice when translating into the Target Culture, since such sociolinguistic and/or idio-syncratic language features contribute to the meaning(s) of a film. The presence of linguistic variation may be tied in with the medium through which a film is distributed; hence translating for different media may imply the application of different strategies. This article will analyze the film subtitling of Gone with the Wind (1939), in particular how Mammy’s speech is translated into Portuguese for RTP (public television channel), TVI (private television channel), VHS and the Internet, while also searching for translational regularities.

E-TAX DEBT MANAGEMENT BASED ON RISK ASSESSMENT AND TAX DEBTORS SEGMENTATION

The amount of tax debt in Ukraine and the number of tax debtors, especially small and medium business, constantly and significantly increase. The tax authorities do not have necessary power to act quickly and effectively, the methods and tools used by them are not relevant to reality and do not consider the specific of the taxpayers’ behavior in Ukraine, most procedures of the tax debt management are time consuming and not automatized. The purpose of the article is to show how fiscal authorities could improve its performance by applying the differentiated approach to the tax debtors based on innovative IT-tools of management. To explain the concept and design of the e-tax debt management model the authors used the theory game statements, economic and math modelling. The developed model of e-tax debt management involves the consistent application of different strategies depending on the debtors’ behavior as well as the responsibility of business owners for non-repayment of tax debt. In contrast to current management practices, the new model establishes strong time frameworks for taxpayers to repay debts by themselves, gives more power to tax authorities and allows accelerating tax debt repayment due to automatization. The usage of IT tool for managerial procedures gives the possibility to reduce the influence of subjective factor on decision-making, as the electronic system makes decision about the type of strategy of tax debt management on a basis of strong and transparent criteria. The study results can be useful for government, business and researchers

Value investing: application of different strategies to equity mutual funds

ABSTRACT In this paper we have analysed the performance of several value investing strategies for Eurozone equity mutual funds. We have executed an empirical study of what the application of this technique implies, with its different variants, to large-cap equity funds. This has allowed us to analyse different value investment strategies, and to see which are the most profitable. Since they are defined by parameters, or ratios, the next step in this study has been to analyse the sensitivity of investors’ profitability in accordance with how effective choosing mutual funds is based on certain ratios, or a possible combination of several of them. Our results support that an investment strategy combining value (undervalued stocks) and quality (high ROA) leads to success when investing in Eurozone equity mutual funds.

Планирование имитационных экспериментов в задачах исследования операционных стратегий контейнерных терминалов

The article describes the problem of the effectiveness of different container stacking strategies, which has been the matter of research in many scientific works. The methods of substantiating the strategies vary from mathematical calculations to practical application. There has been set the task to prove the adequacy of the new container stacking strategy. The application of different strategies for container terminals is found not reliable due to rapid changes of operating conditions and insufficient amount of data that can be collected for the short period of a strategy application. It is proved that the only reliable method that provides the independent proof of the efficiency of container stacking strategies is simulation modelling. Special attention in the studies should be given to planning of the experiments. To compare the strategies it is proposed to use multiple experiments with different parameters of the incoming and outgoing traffic. There is presented a case of comparison of strategies for finding a minimum over the entire stack and stacking containers based on their shelf life. When analyzing the strategies for storing containers it is necessary to determine the optimality criterion, since the attractiveness of a particular strategy will depend on the selected optimized parameter. As a criterion of optimality in the given example, the complexity of the selection of containers is taken, which is determined by the average number of movements required to select one container. It is justified that according to the optimality criterion, the best strategy takes into account the storage periods of containers.

Optimization strategies of container terminals

One of the main tasks of operational management of modern container terminals is effective utilization of existing technological resources. The search for possible variants of terminal activity optimization requires constant analysis of transport process technology and development of technical and technological approaches to increase the effectiveness of resources utilization. One of the possible solutions provided by terminal operational systems is the application of different strategies of container stack organization and container selectivity. At the same time, the complicated character of input and output container flow makes the effectiveness of these strategies doubtful. The paper states that this particular manner of container service is different from traditional ones, i.e. FIFO and FILO. As output container flow is randomly distributed the manner of container service can be considered as First In/Random Out. The paper also considers different strategies that are applied in practice and analyzes its influence on the productivity of handling equipment. The results of these strategies simulation modeling are represented. The results prove that no strategy can provide a productivity with theoretical selectivity; any strategy provides slowed intensity of operations. At the same time, it is proved that the only optimization strategy which increases the productivity of handling equipment is the organization of terminal activity whereby containers can be selected from the stack not in requirement sequence, but in order of its position in a stack.

Presenting a codon-optimized palette of fluorescent proteins for use in Candida albicans

Fluorescent proteins with varying colors are indispensable tools for the life sciences research community. These fluorophores are often developed for use in mammalian systems, with incremental enhancements or new versions published frequently. However, the successful application of these labels in other organisms in the tree of life, such as the fungus Candida albicans, can be difficult to achieve due to the difficulty in engineering constructs for good expression in these organisms. In this contribution, we present a palette of Candida-optimized fluorescent proteins ranging from cyan to red and assess their application potential. We also compare a range of reported expression optimization techniques, and find that none of these strategies is generally applicable, and that even very closely related proteins require the application of different strategies to achieve good expression. In addition to reporting new fluorescent protein variants for applications in Candida albicans, our work highlights the ongoing challenges in optimizing protein expression in heterologous systems.

Data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings

Heating, Ventilation, and Air-Conditioning (HVAC) control strategies are set arbitrarily in many commercial buildings by operators, who sometimes lack relevant skills and professional training. It is acknowledged that improving the control strategy of HVAC is feasible and valid, which as a consequence can improve the overall HVAC performance of existing buildings. However, it is quite difficult for an outsiders or a commissioning agent to tell what the HVAC control strategies are and whether they are implemented appropriately in existing buildings. This paper is intended to carry out analysis on the data about Building Automation System (BAS), as well as the data about building energy, for the purpose of identifying the control strategies of HVAC in a given building by using data mining algorithm. Then the results can be adopted by us to determine whether the building is under faulty operation or is running under suboptimal conditions. In this paper, what are proposed are algorithms of data mining identification for some specific HVAC control strategies, including DR on/off strategy, DR reset strategy and temperature reset strategy of chilled water. On the basis of data mining algorithms, a framework is then developed so as to identify these strategies, and the main scenario of this identification framework is known as analyzing many commercial buildings on an energy monitoring platform of a public building. This framework takes the sensor data obtained from HVAC, including temperature, flowrate, and electricity usage, as input, which is followed by the application of Image Segmentation and PCA algorithm for preprocessing. Then, based on these input variables, XGBoost algorithm is employed to determine whether these strategies have been implemented in buildings or not. In order to get the data for training and testing the framework, EnergyPlus Runtime Language is adopted for the application of different strategies. t is finally shown by the result that the identification algorithm can achieve the accuracy rate of 92.5% in the case studies by using one-day operation data, and the identification algorithm can arrive at the accuracy rate of 100% by using three-day operation data.

Aging and feature-binding in visual working memory: The role of verbal rehearsal.

Age-related decline in ability to bind and remember conjunctions of features has been proposed as an explanation for the pronounced decline of visual working memory (WM) in healthy aging. However, evidence that older adults exhibit greater visual feature-binding deficits than younger adults has been mixed. Binding deficits in older adults are often observed using paradigms with easy-to-label features. Labeling and rehearsing single features may result in apparent binding deficits if older adults rely on comparatively intact verbal memory to compensate for declining visual WM. This strategy would be more useful for single features (e.g., "red"), than for conjunctions of features (e.g., "red triangle"), which are more cumbersome to rehearse, and thus visual feature-binding paradigms that do not prevent verbal strategies may unintentionally measure verbal load differences. Across 3 experiments (total N = 150), we investigated the role of verbal rehearsal by manipulating ease of stimulus labeling for visually presented single features and conjunctions of 2 features. Overall, visual memory for difficult-to-label, noncategorical, visual information appeared especially limited for older adults, likely because it impedes engagement of other systems, such as verbal WM or long-term memory. Therefore, comparing younger- and older-adult task performance may not straightforwardly reveal age-related visual WM decline, but instead reflect applications of different strategies that tap different cognitive mechanisms. We discuss implications for the feature-binding literature and the wider visual WM literature. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Systematic review of endovascular repair of ascending aortic dissection.

Endovascular repair has been used in selected ascending aortic dissection patients judged unfit for direct open surgery. However, the selective criteria and the results of endovascular repair of ascending aortic dissection, and the potential risk factors of adverse events were still obscure. The aim of this study was to summarize the published data linking endovascular therapy for ascending aortic dissection. Studies reporting endovascular repair of ascending aortic dissections were identified by searching PubMed and Embase databases in accordance with preferred reporting items for systematic reviews and meta-analyses guidelines, and by reviewing the reference lists of retrieved articles. All available data were pooled and the subgroup analyses were conducted. A total of nine studies were identified according to the inclusion criteria. The overall technical success was 91.7%. The mean period of follow-up was 34.7 months. The early mortality within 30 days and late mortality during the follow-up were 10.3% and 19.0%, respectively. The incidence of endoleak was 14.3%. In the subgroup analysis, we found that female and oversizing >10% were risk factors of adverse events. The pooled results suggested that endovascular repair of ascending aortic dissection was feasible, promising, and inspiring. The selection of endovascular therapy should be cautious based on preoperative evaluation. Application of different strategies for different ascending lesions should be considered. The dedicated endograft for ascending aorta is desperately needed before broader application of endovascular repair for ascending aortic pathologies can be achieved.

Giant Vesicles with Encapsulated Magnetic Nanowires as Versatile Carriers, Transported via Rotating and Nonhomogeneous Magnetic Fields

AbstractTwo real‐time methods to transport magnetic nanowires confined in giant hybrid vesicles upon the application of different strategies are studied. The microscale carriers are either magnetically guided through the viscous medium by a nonhomogenous field or advected by precisely monitored hydrodynamic flows. The slender geometry of the magnetic component enables the application of large torques, the in situ characterization of the rotational dynamics, as well as the guided propulsion via the continuous thrust of the nanowire tip on the confining bilayer. The flexibility of the vesicles, required to deform along the steering direction during passage through microscale openings, is enhanced via the adsorption of nonionic surfactants on the lipid membrane. The resulting integrated system is an excellent candidate to transport colloidal cargos or fluid amounts of some picoliters in microfluidic platforms, even in physiological environments, since it combines the maneuverability of propelled microscopic systems and the protection conferred by the vesicle.