Dual Demand Research Articles

Research on a Low-Carbon Optimization Strategy for Regional Power Grids Considering a Dual Demand Response of Electricity and Carbon

Research on a Low-Carbon Optimization Strategy for Regional Power Grids Considering a Dual Demand Response of Electricity and Carbon

When outpatient appointment meets online consultation: A joint scheduling optimization framework

While the provision of Online Consultation Services (OCS) has brought convenience to patients, the original offline outpatient workflow may struggle to maintain efficiency. Hospital managers’ concerns lie on how to reconcile the operations of offline service with the provision of OCS and what are the latent impacts of OCS on the operational performances of healthcare system. The outpatient appointment scheduling is a crucial part of the workflow decision that affects both quality of offline services and the fragmented idle time that doctors can reply to their Follow-up patients (FUP) during working hours. To smooth the fluctuations in workload of OCS, we introduce a novel decision variable—the recommended maximum number of FUP that a doctor should serve during overtime hours (FUP-MN)—and propose an inter-day service shifting strategy that any requests for OCS exceeding the FUP-MN will be deferred to be served in the fragmented idle time of the next session. We formulate a stochastic programming model to search for the optimal combination of the appointment schedule and FUP-MN. Propositions are conducted to demonstrate the model is valid not only in coordinating the dual demand for online and offline services, but also in restricting the potential overflow of OCS requests. We provide a general solution approach and also develop a heuristic algorithm to quickly obtain optimal workflows at different OCS demand levels. The numerical experimental results indicate that an appropriate introduction of OCS can give the healthcare system a strong ability to resist the adverse effects of uncertainty.

Multi-time scale optimization study of integrated energy system considering dynamic energy hub and dual demand response

The integrated energy system (IES) is one of the current hot topics in energy research field. However, simplifying models often assumes constant energy conversion device efficiency during optimized operation, which leads to impractical operating modes for the IES. Additionally, the outcomes of device outputs vary across different time scales. The inaccuracy and temporal dispersion of energy supply are becoming more and more prominent, and the modeling and optimal scheduling of the IES are facing great challenges. To effectively address these issues, a multi-timescale optimal scheduling strategy for integrated energy systems was constructed, which considers the variable operating conditions of the equipment. First, a dynamic energy hub model with iterative correction between the equipment efficiency and load rate was established. Subsequently, on this basis, a multi-time scale optimization model of day-ahead, intraday, and real-time dispatch was constructed. Further, a day-ahead and intra-day demand response strategy was introduced to encourage customers to actively participate in demand-side management. Finally, a case study based on the energy system in the Xiongan area of China was conducted. From the optimization results, it was demonstrated that the proposed model in this work can solve the problem of inaccurate equipment efficiency in the fixed condition model and significantly improve the accuracy of system operation and dispatch. The implementation of a multi-time scale optimization and regulation strategy for IES can reduce the cost by 5.82%. Combined also with the dual demand response strategy, the total costs can be reduced by up to 10.07%.

Exploring the Potential of Sago Caterpillars as Cooking Oils: Extraction, Purifying and Characterization.

<b>Background and Objective:</b> The dual demand for palm oil, both as a cooking oil and as a raw material for biodiesel, gives rise to concerns regarding potential shortages. Hence, it is crucial to explore alternative sources of cooking oil, with one such alternative being the oil extracted from sago caterpillars. This study aims to extract and determine the characteristics of sago caterpillar oil and its potential as cooking oil. <b>Materials and Methods:</b> Sago caterpillar oil extraction was done using pressing, Soxhlet extraction and Folch's lipid extraction. The yield of sago caterpillar oil obtained by pressing, Soxhlet and Folch's lipid extraction were 20, 16 and 2.2%, respectively. Oil purifying was done using degumming, neutralization and bleaching. Furthermore, the resulting sago caterpillar oil was characterized physically, chemically and organoleptic. <b>Results:</b> The sago caterpillar oil met the requirements as cooking oil based on the Indonesian National Standard for cooking oil and other chemical parameters. The results of the analysis of sago caterpillar oil with gas chromatography-mass spectrometer showed that the sago caterpillar oil contained 0.15% lauric acid, 2.06% myristic acid, 5.92% palmitoleic acid, 55.05% palmitic acid, 0.84% linoleic acid, 34.00% oleic acid and 1.43% stearic acid. The main peak positions from the fourier transform infrared spectrophotometer are at 725, 1118, 1165, 1234, 1373, 1458, 1743, 2854 and 2924 cm<sup>1</sup>. The results of the analysis of sago caterpillar oil showed that the lipid profile of sago caterpillar oil was similar to commercial palm oil. <b>Conclusion:</b> Based on the results of extraction, purifying and characterization, it was concluded that sago caterpillar oil has the potential to be used as cooking oil.

Plugging Efficiency in Fractured Carbonate Gas Reservoirs Using Fuzzy-Ball Fluids Combined with Solid Plugging Agents

Loss encountered during workover operation is a common challenge in the development of fractured carbonate gas reservoirs. Fuzzy-ball fluid, a non-solid phase plugging material developed based on Fuzzy Sealaplugging Theory, has been widely used in killing the well. However, in the plugging of fractured carbonate gas reservoirs, a substantial volume of Fuzzy-ball fluid is required and the pressurization process is time-consuming, which greatly impairs its application. In this study, solid plugging agents including calcium carbonate and fibers are introduced into Fuzzy-ball fluids to improve the plugging efficiency of large-scale macro-fractures. In particular, the plugging performance was evaluated by the indoor plugging of a synthetic core containing a 5 mm wide wedge-shaped fracture, as well as by field trials in two wells. The results show that the plugging ability of the new fluid increases as the concentration of calcium carbonate or fiber increases. Moreover, a more significant enhancement of plugging efficiency was achieved by fibers. In field applications, the use of Fuzzy-ball fluids with calcium carbonate or fibers reduced the volume of fluid consumed by 33~74% and decreased the pressurization time by 33~69%. Therefore, by combining solid plugging agents with Fuzzy-ball fluids, the dual demand for plugging efficiency and cost-effectiveness for fractured carbonate gas reservoirs is achieved simultaneously, which provides an alternative technique for addressing fluid loss in fractured carbonate gas reservoirs.

Economic simulation of sports industry based on deep learning algorithm and data mining.

In recent years, the research on the domestic and international sports industry has made considerable achievements, but there are still some loopholes in the content, that is, there is still a vacancy in the comprehensive quantitative evaluation of the economic development of the sports industry, especially in the statistics of the output value of the sports industry, which lacks a comprehensive understanding of the economic development of the industry. In the state of dual demand research and application, it is still necessary to reveal the publicity and education of industrial scale, industrial structure, industrial function and industrial safety between people and industries, which is also a necessary way to develop the talent guarantee industry. In this work, we should establish an economic model related to the sports industry. It mainly applies the deep learning algorithm and data information mining technology. After allowing the extraction of information from the sports industry database, it is converted into an economic model of the sports industry. It uses scientific and efficient processing methods to analyze a large number of diverse data, in order to find the hidden laws and knowledge behind it. Therefore, this paper uses data mining technology to process and analyze the economic development data of sports industry in detail and conducts corresponding quantitative analysis according to the requirements of data development. Finally, this paper points out that the neural network in the deep learning algorithm has further training and learning on the economic data of the sports industry, which is convenient for the subsequent prediction of the economic development of the sports industry to make a greater breakthrough.

Delivery routing problem of pure electric vehicle with multi-objective pick-up and delivery integration.

With the growth of people's environmental awareness and the encouragement of government policies, the use of electric vehicles in logistics distribution is gradually increasing. In order to solve the dual demand of customers' simultaneous pick-up and delivery in the "last kilometer logistics", an electric vehicle routing problem with simultaneous pick-up and delivery and time window (EVRPSPDTW) is considered from the perspective of multi-objective distribution in this paper. Firstly, a decision-making model based on distribution cost and power consumption function is established. In this model, distribution cost includes transportation cost, vehicle use cost, penalty cost of not arriving on time and charging cost. Power consumption function is the energy loss caused by air resistance, tire rolling friction and transmission system. Secondly, a multi-objective genetic algorithm (NSGA-II) optimization solution with fast nondominated ranking and elite strategy is designed, and in view of the shortcomings of traditional NSGA-II, it is proposed to complete population initialization through greedy algorithm and random rules, introduce adaptive cross-mutation strategy in the chromosome crossing and mutation stage, and design three different neighborhood operators in mutation operation based on variant fitness function. Finally, the sensitivity analysis of traffic congestion coefficient further proves the effectiveness of the proposed model and the improved algorithm.

Visual control during climbing: Variability in practice fosters a proactive gaze pattern.

In climbing, the visual system is confronted with a dual demand: controlling ongoing movement and searching for upcoming movement possibilities. The aims of the present research were: (i) to investigate the effect of different modes of practice on how learners deal with this dual demand; and (ii) to analyze the extent this effect may facilitate transfer of learning to a new climbing route. The effect of a constant practice, an imposed schedule of variations and a self-controlled schedule of variations on the gaze behaviors and the climbing fluency of novices were compared. Results showed that the constant practice group outperformed the imposed variability group on the training route and the three groups climbing fluency on the transfer route did not differ. Analyses of the gaze behaviors showed that the constant practice group used more online gaze control during the last session whereas the imposed variability group relied on a more proactive gaze control. This last gaze pattern was also used on the transfer route by the imposed variability group. Self-controlled variability group displayed more interindividual differences in gaze behaviors. These findings reflect that learning protocols induce different timing for gaze patterns that may differently facilitate adaptation to new climbing routes.

Comparative assessment of machining induced hardening in HSM of Inconel 718 with aid of eco-friendly cutting fluids

Fulfilling the dual demand of better quality along with higher productivity, and further incorporating cleaner manufacturing processes so as to comply with governmental pollution control norms, have been subjecting manufacturers to intense pressure over the globe in recent times. In context of the same, present paper introspects the resulting surface integrity of the exotic superalloy Inconel 718 during high-speed turning under dry, water vapour, and chilled air being the eco-friendly machining environments by employing coated carbide tools at ideal process parameter settings. Furthermore, a focus has been placed on analyzing the effectiveness of cutting fluid supply techniques on to the machining zone using both traditional exterior nozzle and internally through tooling. Assessment of surface integrity was carried out in terms of machining induced hardening through degree of work hardening and nano-hardness variations beneath machined surface. Results showcased beneficial higher degree of work hardening for water vapour and chilled air as cutting fluids, with the prior having a more pronounced effect. Further the supply of cutting fluid through tool holder was advantageous in obtaining machined surfaces that are considerably more hardened as compared to that with cutting fluid delivered conventionally. Overall it was found that cutting fluid water vapour imparted better characteristic machining induced hardening as compared to machining under dry conditions and chilled air.

Value configurations for balancing standardization and customization in chronic care: a qualitative study

BackgroundDemands for both customization and standardization are increasing in healthcare. At the same time, resources are scarce, and healthcare managers are urged to improve efficiency. A framework of three value configurations – shop, chain, and network – has been proposed for how healthcare operations can be designed and organized for efficient value creation. In this paper, use of value configurations for balancing of standardization and customization is explored in the context of care for chronic mental conditions.MethodsA typical case is presented to illustrate the manifestations of conflicting demands between customization and standardization, and the potential usefulness of the value configurations framework. Qualitative data were collected from managers and care developers in two focus groups and six semi-structured interviews, completed by a national document describing a care pathway. Data were coded and analysed using an insider-outsider approach.ResultsOperationalization of the balance between standardization and customization were found to be highly delegated and ad hoc. Also, the conflict between the two demands was often seen as aggravated by scarce resources. Value configurations can be fruitful as a means of discussing and redesigning care operations if applied at a suitable level of abstraction. Applied adequately, all three value configurations were recognized in the care operations for the patient group, with shop as the overarching configuration. Some opportunities for improved efficiency were identified, yet all configurations were seen as vital in the chronic care process.ConclusionsThe study challenges the earlier proposed organizational separation of care corresponding to different value configurations. Instead, as dual demand for customization and standardization permeates healthcare, parallel but explicated value configurations may be a path to improved quality and efficiency. Combined and intermediate configurations should also be further investigated.

Gold governance and goldsmithery: Economic sociology of an informal manufacturing sector in India

In India, gold’s uniqueness lies in its dual demand for ‘sacred’ ritual purposes as well as ‘profane’ economic security. As a scarce commodity, gold is continuously monitored and regulated by the state. This study investigates how communities associated with the craft and trade of gold jewellery cope with state regulations, an aspect that has largely gone undocumented in sociological literature. The article traces the transformation of the goldsmithing sector in post-independence India. The repeal of the Gold Control Act 1968 in 1990 and high demand during the post-liberalisation period gave a tremendous fillip to the gold jewellery sector. The study captures the occupational recasting as a new community of goldsmiths emerged during this period replacing the traditional goldsmithing castes. It contributes to the under-studied field of goldsmithing in India providing an ethnographic account of a triadic relationship between an informal manufacturing sector, state regulation and a self-organised workforce based on regional ties and village networks.

Moral Convictions and Meat Consumption-A Comparative Study of the Animal Ethics Orientations of Consumers of Pork in Denmark, Germany, and Sweden.

Simple SummaryIn western Europe, national animal welfare legislation since the 1980s in combination with EU legislation has served to ensure minimal requirements for the welfare of farm animals. For many consumers, however, these requirements do not go far enough. Market-driven initiatives where farmers, processors of animal products, and retailers raise the standards via labelling schemes and price premiums may further improve the welfare of farm animals, but such initiatives are only viable solutions if there is sufficient consumer support. To find out to what extent such support exists, we studied the relationship between animal ethics orientations and consumer demand for welfare-enhanced pork in Denmark, Germany, and Sweden. In all three countries, we identified a consumer segment that endorses the ideal behind schemes to enhance farm animal welfare, i.e., that it is ethically justified to eat meat provided the animals enjoy a good level of welfare. Consumers in this segment are highly concerned about animal welfare, and also purchase welfare pork more often than other consumers. More than one fourth of consumers in all three countries belong to this segment; therefore, we believe that market actors can be reassured that there will be persistent consumer demand for welfare-enhanced meat. Background: The relationship between animal ethics orientations and consumer demand for meat with high standards of animal welfare, and the way this relationship plays out in different countries, is not well understood. Using pork as a case study, this comparative study aims to identify the animal ethics orientations that drive purchases of welfare meat in Denmark, Germany, and Sweden. Methods: Cross-sectional questionnaire data from representative samples of approximately 1600 consumers in each country were collected. A segmentation of pork consumers (using latent profile analysis) was carried out. Results: In all three countries, two subgroups were concerned about farm animal welfare: the first subgroup was driven by animal rights values; the second subgroup by animal protection values, where the main principle was that “it is all right to use animals as long as they are treated well”. Other consumer groups are less concerned about farm animal welfare and display little or no preference for welfare pork. Conclusions: In all three countries, dual demand for welfare pork exists. The findings of this study can be used, among others, to understand the marketability of enhanced welfare animal products and the potential for market-driven animal welfare improvements.

Gambaran Derajat Grit pada Siswa-Atlet di SMA Negeri Olahraga Jawa Timur

Student-athletes have dual demand namely academics and sports achievements. Grit is able to explain student-athletes perseverance and consistency for their achievements. This study aimed to describe the level of Grit in student-athletes at SMA Negeri Olahraga Jawa Timur. This study is a descriptive quantitative research. Respondents in this study were 214 student-athletes in academic year 2020/2021 and the sample were 135 studentsathletes with the sampling technique proportionate stratified random sampling. Measuring instrument used in this study was a Grit scale consists of 12 items (α = 0,671). The results showed moderate level grit was 72,6% and high level grit was 27,4% it can be concluded that student athletes Grit level tends to be high

Research on Vehicle Routing Optimization for Rural Express Joint Distribution

This paper studies the problem of rural express logistics distribution, considering the dual demand of rural customers, the diversity of agricultural products, the dispersion of rural customer gathering places and so on. Optimize the joint delivery of rural express by introducing the model of vehicle routing problem with split deliveries and pickups (SVRPPD). The objective of optimization is to minimize the total cost of distribution system. According to the characteristics of the model, a competitive decision algorithm is designed to solve the problem. Finally, the practicability and effectiveness of the model and algorithm are verified by an example.

Revisiting demand, politicization and externalization in authoritarian political regimes: policy advisory system in Russian practices

ABSTRACTThis study contributes to debate on three related questions in Policy Advisory System research. Is the Policy Advisory System concept applicable in countries other than developed democracies? How does it function in a state-centred authoritarian regime? How does the authoritarian environment affect tendencies such as “politicization” and “externalization”? These questions are addressed using materials on the current Russian governance structure and advisory practices, focusing on two broadly defined “governance subsystems” in the Presidential Administration of Russia, “Political Bloc” and “Economic Bloc”, both acting as regular customers for advisory communities. One finding is the phenomenon of “Dual Demand” from the same centre of power—“stability” for “Political Bloc” and “innovation” for “Economic Bloc”—which contributed to creation of two different clusters of policy advisory agencies with different statuses. Other findings include transformation of “politicization” to policy control mechanisms and attempted “externalization” turning into the reverse—“internalization”—bringing independent advisory organizations under the supervision of government structures.

Analysis of building energy upgrade technologies for implementing the dual energy efficiency and demand response scheme for non-residential buildings

The continuous growth of renewable energy and the transition to a more de-centralised electricity generation adds significant complexity to balance power supply and demand in the grid. These imbalances are partially compensated by demand response programs, which represent a new business opportunity in the building sector, especially for ESCOs. Including demand response to their traditional energy efficiency-based business model adds an additional revenue stream that could potentially shorten payback periods of energy renovation projects. This paper introduces this new dual-services business model, and evaluates the potential suitability of HVAC, generation and storage technologies to ensure proposed energy efficiency and flexibility goals.

Time, flow, and space.

Does a temporal dual process theory explain the illusive flow of time? I point out one shortcoming of such a theory and propose an alternative that does not require either dual cognitive processes or demand such a stark asymmetry between space and time in the brain.

A Cost-Optimization Framework for Planning Applied Environmental Science

Natural resource managers need information about the status and structure of complex environmental systems to meet society's dual demand for natural resource use and conservation. Applied scientists supply this information through monitoring and research efforts that can be expensive. The relationship between increasing investment in information and the attendant decline in probability of making bad decisions can be optimized to ensure that applied environmental research is cost effective. In the present article, I use straightforward analytical and numerical methods to explore conditions in which the value of information is less than the cost of obtaining it. As pressures on Earth's natural resources grow, managers will be called on increasingly to do more with less, which can be achieved with formal optimization. Implementing such optimizations will help ensure that formal decision-making tools are used to translate science into decisions, which will often require collaboration between biological scientists and social scientists.

Design optimization of conveyor rollers arrangement for stable flat-panel display (FPD) glass transfer

In recent years, together with the rapid growth of smart product markets, the flat-panel display (FPD) technology is advancing simultaneously to satisfy the dual demand for larger and thinner display panels. Glass transfer stability is one of the most critical problems when designing manufacturing equipment. Shaft pitch and number of rollers are important design variables to ensure stable glass transfer. In this study, the shaft pitch at which the maximum deflection occurs during glass transfer is theoretically calculated, and the deflection with nonlinear contact is analyzed to determine the initial shaft pitch. The developed optimization model using 8G glass was simplified for iterative analysis, and the nonlinear contact was included in the analysis. The number of rollers was minimized using the verified boundary conditions, and optimization was performed. The optimization analysis significantly reduced the number of rollers by 40 % while minimizing the contact surface.

DEVELOPING STATISTICAL KNOWLEDGE FOR TEACHING DURING DESIGN-BASED RESEARCH

Statistical knowledge for teaching is not precisely equivalent to statistics subject matter knowledge. Teachers must know how to make statistics understandable to others as well as understand the subject matter themselves. This dual demand on teachers calls for the development of viable teacher education models. This paper offers one such model, which relies upon engaging teachers in design-based research. Teachers collaborate with a researcher to design, implement, and analyze instruction to pursue desired statistical learning outcomes for students. The researcher allows teachers enough autonomy to make and learn from mistakes during the process. Unpacking and addressing the mistakes has value as a means of teacher learning. The model and a specific instance of its implementation are described along with reflections on how productive mistakes during design-based research provide opportunities for fostering the development of statistical knowledge for teaching. 
 First published November 2017 at Statistics Education Research Journal Archives