Usual Strategy Research Articles

Incentive strategies for small and medium-sized customers to participate in demand response based on customer directrix load

Compared with large industrial and commercial customers, small and medium-sized customers have small electricity consumption, large quantities, lack of autonomy and low willingness to participate in demand response. In order to incentivize small and medium-sized customers to participate in demand response, we propose a comprehensive evaluation index and incentive strategy for demand response based on customer directrix load. Firstly, a large number of small and medium-sized customers are integrated with demand response resources through load aggregator to participate in demand response based on customer directrix load. Secondly, a comprehensive evaluation index weighted by response positivity and actual contribution is proposed to measure the effectiveness of small and medium-sized customers’ participation in demand response based on customer directrix load. Thirdly, a punishment factor is set on time scale and customer category to incentivize different types of small and medium-sized customers to participate in demand response based on customer directrix load. Fourthly, small and medium-sized customers subsidy optimization model and load aggregator revenue optimization model are established. Finally, we utilize the demand response pilot data in East China for simulation verification, and the results show that the proposed strategy has good rationality and effectiveness.

Genetic Factors Associated with Hypertension: A Comprehensive Review

Recent scientific findings indicate that hypertension is a largely genetically driven condition; one of today’s leading global health issues. There are many identified gene mutations associated with different aspects involving blood pressure control that lead to hypertension. More recently, certain specific genetic variants related to blood pressure control have been found using the modern techniques of genetic analysis that may assist in developing custom strategies to prevent and treat hypertension. The aim of this article is to highlight genetic aspects of hypertension and use them to establish individual therapy. It looks at the influence of genetic diversity on sodium resorption, skeletal muscle contraction, and drug pharmacokinetics. These studies indicate that GWAS has identified some genetic variants for hypertension and developed some genetic risk score (GRS) which can be used for prediction purpose. Therefore, genetic contribution is significant in establishing as well as sustaining high blood pressure. Knowledge about genetics regarding hypertension may change the way it is addressed on a person-by-person basis. Nevertheless, research needs to tackle the challenge of validating associations among diverse populations while developing a mechanism for translating genetic findings into clinical practice. Thus, we would enhance preventive, diagnostic and therapeutic measures for many people globally. Keywords: Hypertension; Genetic factors; Blood pressure regulation; Genome-wide association studies (GWAS); Personalized medicine approaches.

Adaptation of the Healthcare Team as The Key to TAVI Implantation

We present the case of a 79-year-old female patient with a history of ischemic heart disease revascularized with stents and severe aortic stenosis, recently included in the surgical waiting list for treatment. She consulted for syncope and humerus fracture, preceded by chest pain with electrocardiographic changes. During the sequence of diagnostic tests indicated in this context, she suffered a severe clinical worsening, complicating to the point of acute pulmonary edema, cardiogenic shock and requiring mechanical ventilation. The underlying cause was severe aortic stenosis and, therefore, the ideal treatment was urgent percutaneous aortic valve implantation, since he had a peak peak gradient of 64 mmHg. The resolution of the case was not easy, since it required the transfer of a hemodynamically unstable patient from her hospital to the center specialized in TAVI implantation, located only 2 km away. What was new and exceptional was the adaptation of the usual treatment strategy (transfer of the patient to the referral center and scheduled implant) to a patient-centered strategy, which required the transfer of the TAVI expert team (nurses and physicians) together with the implant kit to the hospital where the patient was admitted.

Modular Customization and Regulation of Metal-Organic Frameworks for Efficient Membrane Separations.

Metal-organic frameworks (MOFs) are considered ideal membrane candidates for energy-efficient separations. However, the MOF membrane amount to date is only a drop in the bucket compared to the material collections. The fabrication of an arbitrary MOF membrane exhibiting inherent separation capacity of the material remains a long-standing challenge. Herein, we report a MOF modular customization strategy by employing four MOFs with diverse structures and physicochemical properties and achieving innovative defect-free membranes for efficient separation validation. Each membrane fully displays the separation potential according to the MOF pore/channel microenvironment, and consequently, an intriguing H2 /CO2 separation performance sequence is achieved (separation factor of 1656-5.4, H2 permeance of 964-2745 gas permeation unit). Taking advantage of this strategy, separation performance can be manipulated by a non-destructive modification separately towards the MOF module. This work establishes a universal full-chain demonstration for membrane fabrication-separation validation-microstructure modification and opens an avenue for exclusive customization of membranes for important separations.

Opportunities to engage in positive activities during the COVID-19 pandemic: Perspectives of individuals with mood disorders

BackgroundDespite cross-sectional population and clinical studies finding individuals with existing mood disorders being adversely impacted by the COVID-19 pandemic, longitudinal studies have not shown a worsening of psychiatric symptoms. In response to these findings, we explored opportunities to engage in positive activities during the pandemic from the perspectives of individuals with mood disorders. MethodsA bespoke survey, containing closed and open questions, was sent to participants with mood disorders who were part of the UK Bipolar Disorder Research Network (BDRN). Questions related to experiences of positive impacts of the pandemic, levels of engagement in positive activities and coping strategies. ResultsResponse rate was 46.4 % (N = 1688). 61.9 % reported positive life changes during the pandemic, with slower pace of life reported most frequently (52.8 %). 47.3 % reported no adverse impact of the pandemic on implementing their usual coping strategies. Activities that respondents most commonly reported the same or greater level of engagement in compared to before the pandemic were avoiding known mood triggers (82.3 %), relaxation techniques (78.8 %) and the ability to maintain set routines (69.4 %). LimitationsResponder bias may be present and experiences during the pandemic are likely to differ among other clinical and research mood disorders cohorts. ConclusionsOur findings may help to explain why longitudinal studies have not found a worsening of mental health symptoms during the COVID-19 pandemic. Identifying potential facilitators to maintaining mental health have wider applicability, and may help to inform future evidence-based psychoeducation and self-management programmes for mood disorders.

Early warning of telecom enterprise customer churn based on ensemble learning.

Analyzing customers' characteristics and giving the early warning of customer churn based on machine learning algorithms, can help enterprises provide targeted marketing strategies and personalized services, and save a lot of operating costs. Data cleaning, oversampling, data standardization and other preprocessing operations are done on 900,000 telecom customer personal characteristics and historical behavior data set based on Python language. Appropriate model parameters were selected to build BPNN (Back Propagation Neural Network). Random Forest (RF) and Adaboost, the two classic ensemble learning models were introduced, and the Adaboost dual-ensemble learning model with RF as the base learner was put forward. The four models and the other four classical machine learning models-decision tree, naive Bayes, K-Nearest Neighbor (KNN), Support Vector Machine (SVM) were utilized respectively to analyze the customer churn data. The results show that the four models have better performance in terms of recall rate, precision rate, F1 score and other indicators, and the RF-Adaboost dual-ensemble model has the best performance. Among them, the recall rates of BPNN, RF, Adaboost and RF-Adaboost dual-ensemble model on positive samples are respectively 79%, 90%, 89%,93%, the precision rates are 97%, 99%, 98%, 99%, and the F1 scores are 87%, 95%, 94%, 96%. The RF-Adaboost dual-ensemble model has the best performance, and the three indicators are 10%, 1%, and 6% higher than the reference. The prediction results of customer churn provide strong data support for telecom companies to adopt appropriate retention strategies for pre-churn customers and reduce customer churn.

Modelling the cost-benefit impact of integrated product modularisation and postponement in the supply chain for pharmaceutical mass customisation

Realisation of pharmaceutical product and production systems capable of delivering product customisation cost-effectively is essential for adding value to patients and society through improved tailoring of therapies to individuals relative to current mass-produced products. To address the continued lack of evidence-based system solutions, this study presents a holistic design framework and a novel computational platform for enabling design explorations of integrated pharmaceutical product and supply chain (SC) reconfiguration. The design and modelling framework developed herein takes an end-to-end SC perspective, adapts the mass customisation strategies of product modularisation and postponement, and demonstrates case study simulations based on real-life therapy and SC archetypes. The cost-effectiveness assessment with the derived integrated systems computational platform confirm that product modularisation drives patient benefit through variety provision and that postponement drives cost reduction in an end-to-end SC. A novel insight is therefore that both product modularisation and postponement, in an integrated manner, are required for maximising cost-effective customisation. Moreover, the computational simulations, founded and modelled on real-life scenarios, provide design requirements for reconfigurable product and SC systems in a pharmaceutical context. In all, these findings are imperative for providing guidance on integrated pharmaceutical product and production systems design and mass customisation/ mass personalisation/mass individualisation realisation.

Exploring the impact of Customization Strategy, Product Variety on Operational Performance in Automotive Manufacturing Industry

This research has three big contributions to car manufacturing companies in China. Firstly, it defines how an improvement in product variety impacts operational performance. Second, it explains the impact on operational performance of customization strategies practices. Thirdly, the thesis identifies the relative differences of impact by five types of customisations of the product variety on specific aspects of operating performance. It includes a comprehensive analysis of the literature associated with the effects of product variety and customisation as well as techniques for coping with trade-offs between product variety and operating performance. By adopting a quantitative research method, a survey of 12 car manufacturing sector companies from China was conducted. The objectives and questions of this research is clearly defined and outlines the difference the research is to bring to information. This also establishes theories that take into account the relationship between product variety, customisation and operational efficiency. The project focuses on data collection methods and a questionnaire is designed to be submitted to Chinese car manufacturing companies. This gives the empirical results of this study a detailed debate. Finally, the research is concluded by providing a summary of the results of the work and of the study's theoretical contributions. Effective mass customisation and customer-driven development will offer Chinese carmakers a variety of benefits. The basic results, therefore, have significant management consequences for Chinese car producers to pursue numerous strategies under different product design profiles.

Recurrent Falls in Post-Acute and Long-Term Care: When the Usual Fall Prevention Strategies Are Not Enough

Recurrent Falls in Post-Acute and Long-Term Care: When the Usual Fall Prevention Strategies Are Not Enough

Pengaruh Penerapan Strategi Solusi Bisnis Financial Ecosystem Untuk Nasabah Segmen Institusi Terhadap Pendapatan Bisnis (Studi Kasus PT Bank Negara Indonesia)

The business strategy develops according to the company's current developments. One of the strategies used in the banking business to be competitive is the differentiation strategy. Various developments in the current situation have led to changes in the need for banking. BNI continues to carry out different and innovative strategies to meet the needs of its customers. BNI through the Institutional Banking Division always implements a financial ecosystem business solution strategy for institutional segment customers. This business strategy can also increase banking business revenue. The financial ecosystem business solution strategy requires a more in-depth study to measure the effect of this strategy in generating optimal business income. This research was conducted using statistical analysis, namely the PLS Structural Equation Model (SEM). The results of the study show that the strategic solutions for the business financial ecosystem carried out have a significant positive effect on business income. This will directly or indirectly affect BNI's business revenue.

КОНТЕНТ-МАРКЕТИНГОВЫЕ СТРАТЕГИИ РОССИЙСКИХ БРЕНД-МЕДИА В СОЦИАЛЬНЫХ СЕТЯХ (ПО МАТЕРИАЛАМ ТЕЛЕГРАМ-КАНАЛОВ)

The authors study content marketing strategies, positioning and PR-promotion of companies through thematic and genre diversity of brand media content on the material of the telegram channels “Tinkoff Journal”, “Business Secrets” (Tinkoff Bank), “Sber Business”, “Yandex for Entrepreneurs. On the basis of media metric analysis, they assess the overall effectiveness of the considered brand media, the contribution to expanding the audience and increasing the client base of parent companies. With the help of content analysis, the most popular forms and genres of brand media (cards, news, notes, case studies) are identified, their content and structure are analyzed, the direction and tone of publications is determined. Brand media specialists not only use traditional genre forms, but also develop the genres themselves with the help of non-standard compositional techniques. The content of the considered business media is addressed to different categories of clients of parent brands ‒ from beginners to more or less experienced entrepreneurs in the fields of small, medium and large businesses. Content transformation entails an abrupt increase in audience engagement, and the usual content strategies lead to its fading or decline. An indirect indicator of brand media effectiveness is the growth of the consumer loyalty index in the parent companies’ customers. In general, the study allows us to say that the desire of marketers of large companies to encourage new users and future entrepreneurs to create their own business indicates the direct participation of brand media in the socio-economic development of entrepreneurship in Russia.

A classified retail pricing and production scheduling model for industrial customers

In the electricity retail market, it’s an important operation way for a retailer to provide diversified services and design appropriate retail pricing strategies that stimulate demand side responses in order to increase profit and maintain customer welfare. This paper proposes a novel retail contract design that a retailer can adopt to provide different time-of-use (TOU) prices for the various types of industrial customers based on their adjustabilities and a part of rewards from the demand response (DR) market to those who respond to the urgent electricity requirements. A bi-level optimization model of retail pricing for classified industrial customers is set up based on their adjustable capacities of production process operations. At the upper level, the retailer’s benefit is maximized considering the stochastic risks of load fluctuation and the spot market. This is achieved based on the electricity consumption strategies of classified industrial consumers, which are obtained from the lower level. Decisions are then made concerning purchases from the spot market and retail pricing strategies for industrial customers. Based on the retail prices from the upper level and industrial production processes modeling, the model at the lower level takes the maximum industrial user’s benefit as the objective to obtain the electricity consumption scheme of each type of industrial user. The model optimizes both the time division and price level of retail TOU prices, resulting in detailed electricity consumption strategies for all types of industrial customers. The results of the cases show that the proposed retail pricing can improve adjustable capacities of industrial production process operations, effectively smooth the load curve of the retailer by making full use of the peak-load-staggered among industrial customers, and boost profits of both the retailer and industrial customers. Thus, a mutually beneficial situation between the retailer and industrial customers is realized.

Combustion customization strategy of mixed propellant charges for multi-material additive manufacturing: Simulation and experiment

This paper addressed three major challenges in the customization of mixed propellant charges: optimal design, performance simulation, and manufacturing. Based on parametric modeling software Grasshopper, parametric models of propellants with highly complex geometries were endowed with combustion properties of multiple formulations, coupled with rapidly changing burning rate-pressure field during iterative combustion to achieve visual and integrated simulation of burning surface regression, form function, and combustion performance of mixed charges, providing convenient theoretical guidance for structural optimization design of customized strategies. Customized zones designed with complex geometries and multiple formulations co-constructed in one propellant were prepared by multi-material additive manufacturing techniques. Different customized zones of one or more propellants were superimposed in the design sequence to customize the combustion performance. Mixed charges for three cases of burning surface, burning rate, and joint control were discussed. The simulation results matched well with the experimental results, including the progressively random perforated combustion, variation of burning rate pressure exponent, and superimposed combustion of single and multiple charges with different customized zones. As an advanced engineering strategy urgently needed in chemical engineering, this work not only opens the door to matching performance simulation-driven design with MM-AM technologies but also serves as an efficient and common customization strategy from design to manufacture.

Optimal pricing strategy in an unreliable M/G/1 retrial queue with Bernoulli preventive maintenance

This paper studies an unreliable M/G/1 retrial queue with Bernoulli preventive maintenance, in which the server may break down while providing service to customers. Before the start of each service, the server is subjected to preventive maintenance with a certain probability, which extends the lifetime of the server. If arriving customers find the server unavailable, they decide to balk or enter the orbit based on the linear reward-cost structure. First, the stationary distribution of system states and some important performance measures are derived. Then, we investigate the equilibrium joining strategies of customers in both cooperative and non-cooperative cases, respectively. Next, the optimal pricing strategy is considered from the perspective of the social planner. Finally, numerical examples are provided to illustrate the influence of system parameters on customer equilibrium joining probabilities and the optimal pricing strategy.

How convenience and informational tools shape waste separation behavior: A social network approach

Geopolitical risks such as energy crises and local or regional instability aggravate the growing conflict between limited natural resources and increasing consumption, making waste management—using waste as a resource—one of the most urgent agendas in the sustainability domain. Considering individuals' dual attributes (i.e., attitudes and behaviors), we develop an interaction model to investigate waste separation behavior that accounts for convenience and informational tools. Multiagent simulations are performed using data collected from 1056 residents in the top ten Chinese cities by volume of household waste. The results indicate that convenience tools can induce residents to separate waste. In particular, a 160% increase in the adoption rate is observed in response to decreasing (increasing) the distance to collection sites (accessibility to temporary storage facilities for recyclables) from 10 (0) to 0 (10). Publicity and education promote waste separation, as approximately 72% of individuals choose to separate waste when increasing the intensity of popular science propaganda from 0 to 0.2. Interestingly, social interaction appears to have a two-sided effect on waste separation behavior. The adoption rate of such behavior increases with the number of one's connections in sparse social networks, whereas the opposite is found in close social networks. The findings reveal the differentiated impacts of convenience and informational tools on waste minimization and provide new ideas for formulating customized strategies to promote waste separation in sparse (increasing individuals' number of connections) or close (monitoring rumors to achieve a tightly controlled intensity of interaction) social network scenarios.

Adaptive Control for an Aircraft Wing System with Hysteresis Nonlinearity

This paper involves a novel adaptive control approach of a flexible wing system with hysteresis nonlinearity. The usual control design strategies based on the ordinary differential equations (ODEs) are inapplicable due to the flexible wing system described in the partial differential equations (PDEs), and the design of the control algorithm becomes highly intricate. Firstly, the inverse dynamic model of hysteresis is introduced to compensate for the hysteresis nonlinearity. Considering the unknown external disturbances, an adaptive technique is utilized for compensation. Then, the direct Lyapunov approach is employed to prove the bounded stability of the system. Lastly, the effectiveness of the proposed approach is validated via simulation results.

STRATEGI PELAYANAN PUBLIK DENGAN MENGGUNAKAN DIMENSI STRATEGI PELAYANAN DAVID OSBORNE DAN PIETER PLASTRIK

Indonesia is a country that has a variety of cultures and languages. Madura is one of the ethnic groups in Indonesia which has a very distinctive culture. In culture aspect, the Madurese people hold tightly to the traditions and customs passed down by their predecessors, both in terms of language, religion, art and so on. in Madura with the culture or culture of the people who are considered to be able to hinder the process of services being provided to all levels of society in Madura. The purpose of writing is to explain the 5 dimensions of service strategy according to David Osborne and Pieter Plastrik, namely core strategy, consequence strategy, customer strategy, control strategy and cultural strategy. The research method in this paper is descriptive qualitative research with an inductive approach. The results of this study are that the strategy used is quite good in fulfilling the indicators in the service strategy, but there is still one strategy that has not been optimally implemented, namely the cultural strategy related to communication carried out which is based on communication theory which is still not optimal because the delivery of communication is still not adjusted with the Madurese community so that in order to be able to provide the best service for every level of society, the Pamekasan Immigration Office needs to optimize and adapt more to the conditions of the local community with a service strategy approach, namely the cultural strategy and communication theory used.

Transferring in-store experience to online: An omnichannel strategy for DIY customers’ enhanced brand resonance and co-creative actions

This study aims to create a unified customer experience across in-store and online channels through an academic-practice collaboration. To achieve this goal, the study focuses on identifying a synergistic solution for transferring experience between channels. For the sake of practitioners, the study identifies DIY customers as a suitable segment for the initial stage of the transfer and suggests channel ownership be redesigned to be customer-driven. To investigate this topic, the study analyzes a customer sample drawn from a CRM database, using a comprehensive research model to transfer in-store experience to online channels and enhance customers' co-creation and brand resonance. The results of the study provide a strategic framework for orchestrating customers' experiences throughout their journey by segmenting and profiling customers in an omnichannel strategy.

The effect of conservative oxygen therapy on mortality in adult critically ill patients: A systematic review and meta-analysis of randomised controlled trials.

Oxygen is the commonest intervention provided to critically ill patients requiring mechanical ventilation. Despite this, it is unclear how much oxygen should be administered to patients in order to promote the best clinical outcomes and it has been suggested that a strategy of conservative oxygen therapy (COT) may be advantageous. We therefore sought to answer the question of whether COT versus usual or liberal oxygen therapy was beneficial to adult patients receiving mechanical ventilation on an intensive care unit (ICU) by performing a systematic review and meta-analysis. Studies were included if they were randomised controlled trials comparing COT to liberal or usual oxygen therapy strategies in acutely ill adults (aged ⩾18 years) admitted to an ICU, and reported an outcome of interest. Studies were excluded if they were limited to a specific single disease diagnosis. The review was registered on PROSPERO (CRD42022308436). Risk of bias was assessed using a modified Cochrane Risk of Bias assessment tool. Effect estimates were pooled using a random effects model with the between study variance estimated using restricted maximum likelihood and standard errors calculated using the method of Hartung-Knapp/Sidik-Jonkman. Between study heterogeneity was quantified using the I2 statistic. The certainty in the body of evidence was assessed using GRADE criteria. Nine eligible studies with 5727 participants fulfilled all eligibility criteria. Trials varied in their definitions of COT and liberal or usual oxygen therapy. The pooled estimate of risk ratio for 90 day mortality for COT versus comparator was 0.99 (95% confidence interval 0.88-1.12, 95% prediction interval 0.82-1.21). There was low heterogeneity among studies (I2 = 22.4%). The finding that mortality was similar for patients managed with COT or usual/liberal oxygen therapy was graded as moderate certainty. In critically ill adults admitted to an ICU, COT is neither beneficial nor harmful when compared to usual or liberal oxygen therapy. Trials to date have been inconsistent in defining both COT and liberal or usual oxygen therapy, which may have had an impact on the results of this meta-analysis. Future research should focus on unifying definitions and outcome measures.

Impact of Electronic Banking on Deposit Money Banks Performance in Nigeria: Evidence from Dynamic Ordinary Least Squares Technique

The importance of electronic banking and its performance can never be overemphasized and technology industries made it effective and efficient in carrying out transactions on a daily basis. On this note, the paper investigated the empirical effect of electronic banking on bank performance in Nigeria from 2009Q1 to 2023Q1. The paper adopted Dynamic Ordinary Least Squares (DOLS) technique and the variables include the dependent variable, return on assets (ROA) while the independent variables include point of sales (POS) and cheque (CHQS). The coefficient of the total number of point of sales transactions (POS) coefficient is directly related to electronic banking on bank performance long-run in Nigeria. The result reveals that there is a statistical and positive effect of electronic banking on bank performance on the return of assets (ROA) in Nigeria. On the other hand, the coefficient of total transactions carried out on the cheques (CHQS) is positively related to electronic banking on bank performance captured by return on assets (ROA). It means a rise in total transactions carried out on the cheques exerts a positive impact on e-banking on bank performance in Nigeria. The paper recommended that government or financial institutions should deploy the right technology that would model the digital global market and banking sector and that banks should encourage the consumers‟ of electronic ways of banking. On the aspect of cheques, therefore, there is a need to develop effective strategies for customers to shift from traditional to electronic banking and discourage the use of cheques.