Economic Feasibility of Solar Irrigation Pumps: A Study of Northern Bangladesh

Bangladesh is the most densely populated country in the world. With a total population of around 165 million, the country has constantly been facing food security challenges and other problems. Therefore, increasing food production is one of the feasible solutions to this challenge, and proper agricultural land use for food production bears critical importance. Adopting sustainable irrigation systems and viable technologies would be vital for ensuring efficient use of agricultural land in Bangladesh to safeguard the country's food security. Solar irrigation pumps (SIPs) can be a reliable option in this regard. However, Bangladesh has experienced a prolonged growth rate of SIP installation in the last decade. The countryhas set a target to install 10000 SIPs by the year 2027, albeit it is a tiny share of the 1.57 million conventional irrigation pumps operating in the country. This study aims to investigate the economic feasibility of the SIPs operating in the northern region of Bangladesh in terms of estimating financial feasibility and environmental benefits. The study is mainly based on primary data collected from the users of SIPs from two Upazilas of Dinajpur and Rangpur districts. A total of 14 SIPs, categorized into large, medium, and small pumps, are selected randomly from the available SIPs in the study areas. The financial analysis reveals that small SIPs are the most profitable option (20% IRR) for investment. Large SIPs are moderately profitable (10% IRR), and their profitability can be improved (10.50% IRR) by introducing additional uses of solar energy. However, medium SIPs are the worst (5% IRR) option for investment. In the study areas, large and medium SIPs are designed for the 'fees for service model', and small SIPs are designed for the 'fees for ownership model'. It is found that the 'fees for ownership model' is more profitable than the 'fees for service model'. Moreover, the net environmental benefit for all SIPs is found almost equal to the given subsidy for installing them. Also, the net environmental benefit per kilowatt peak (kWp) is highest for the small SIPs. This paper recommends that additional use (e.g., husking, grinding, supply excess electricity to grid, and so on) of solar energy can improve the profitability of investmenton SIPs. Further, the government should continue giving grants for installing SIPs and promote 'fees for ownership model' (small SIPs) for personal use. It would speed up the dissemination rate of SIPs and help increase the country's agricultural production and improve the environmental conditions.

Big Data Precision Marketing Approach under IoT Cloud Platform Information Mining

In this article, an in-depth study and analysis of the precision marketing approach are carried out by building an IoT cloud platform and then using the technology of big data information mining. The cloud platform uses the MySQL database combined with the MongoDB database to store the cloud platform data to ensure the correct storage of data as well as to improve the access speed of data. The storage method of IoT temporal data is optimized, and the way of storing data in time slots is used to improve the efficiency of reading large amounts of data. For the scalability of the IoT data storage system, a MongoDB database clustering scheme is designed to ensure the scalability of data storage and disaster recovery capability. The relevant theories of big data marketing are reviewed and analyzed; secondly, based on the relevant theories, combined with the author’s work experience and relevant information, a comprehensive analysis and research on the current situation of big data marketing are conducted, focusing on its macro-, micro-, and industry environment. The service model combines the types of user needs, encapsulates the resources obtained by the alliance through data mining for service products, and publishes and delivers them in the form of data products. From the perspective of the development of the telecommunications industry, in terms of technology, the telecommunications industry has seen the development trend of mobile replacing fixed networks and triple play. The development of emerging technologies represented by the Internet of Things and cloud computing has also led to technological changes in the telecommunications industry. Operators are facing new development opportunities and challenges. It also divides the service mode into self-service and consulting service mode according to the different degrees of users’ cognition and understanding of the service, as well as proposes standardized data mining service guarantee from two aspects: after-sales service and operation supervision. A customized data mining service is a kind of data mining service for users’ personalized needs. And the intelligent data mining service guarantee is proposed from two aspects of multicase experience integration and group intelligence. In the empirical research part, the big data alliance in Big Data Industry Alliance, which provides data mining service as the main business, is selected as the research object, and the data mining service model of the big data alliance proposed in this article is applied to the actual alliance to verify the scientific and rationality of the data mining service model and improve the data mining service model management system.

Digitalization and Information Management Mechanism of Sports Events Based on Multisensor Node Cooperative Perception Model

In the process of developing major sports events, how to guide providers and users to provide and utilize the archives information resources of major sports events and realize the interaction between them is an important problem to be solved urgently in the development of major sports events and the archive service of major sports events. By analyzing the present situation of archive service of major sports events, especially the analysis of the opposite dependent subjects of service providers and users, we can see that the continuous development of archive services for major sports events will inevitably lead to constant changes in user groups and user needs, guided by the theory of information retrieval, knowledge management, and media effect. According to the service model of archive service of major sports events, the archive service model of specific sports events is constructed. In this paper, four kinds of event recommendation models are applied to the collected marathon event data for experiments. Through experimental comparison, the effectiveness of content-based recommendation algorithm technology in the event network data set is verified, and an algorithm model suitable for marathon event recommendation is obtained. Experiments show that the comprehensive event recommendation model based on term frequency–inverse document frequency (TF-IDF) text weight and Race2vec entry sequence has the best recommendation performance on marathon event data set. According to the recommendation target of the event and the characteristics of the event data type, we can choose a single or comprehensive recommendation algorithm to build a model to realize the event recommendation.

What makes an optimal delivery for PrEP against HIV: A qualitative study in MSM

Background Pre-exposure prophylaxis (PrEP) is an effective means of HIV prevention for men who have sex with men (MSM), a key population whose engagement is crucial for achieving effective public health outcomes. An optimal service model would be important in planning the implementation of PrEP in places where such service has not been established. Methods A qualitative study was conducted to delineate the attributes of an optimal PrEP service model for MSM in Hong Kong, a city where no formal PrEP programs existed. Twenty purposively sampled MSM who were enrollees of two pilot PrEP projects participated in the semi-structured interviews promoting story-telling. The coded data were thematically analyzed following Grounded Theory approach, focusing on uncovering a typology of the essential attributes of an optimal PrEP service model, and the reasons for such preferences. Results Participating MSM were all ethnic Chinese and aged 26 to 52 years. All had received PrEP from pilot projects in conjunction with periodic screening of sexually transmitted infections (STI), HIV antibody, and plasma creatinine. Four major themes emerged as regards the attributes of a preferred PrEP service: (i) comprehensiveness of HIV/STI and safety monitoring; (ii) convenient unitary service; (iii) stigma-free PrEP access and protecting confidentiality; and (iv) affordable price. Whereas regular provision of PrEP was acceptable to MSM, unaffordability and related stigma were the anticipated challenges for potential service providers. Conclusions The qualitative assessment of MSM’s preference for PrEP service delivery has yielded important information on the many facets of a desirable service model.

Making waves: nurse-led urgent community response

Anyone in England over 18 whose health or wellbeing suddenly deteriorates at home will have access to an urgent community response (UCR) team within 2 hours by April 2022. Community nursing services are providing the core service model to provide these crisis response services. Nurse leads from three UCR accelerator sites (Kirklees, Warrington and Bromley) elaborate on how they are making waves of change for the better, using their clinical skills and building key relationships with other health services. Acutely unwell patients are being seen by practitioners with advanced assessment skills, which keeps eight out of 10 patients at home safe, avoiding hospital admission.

A Decision Making Paradigm for Software Development in Libraries

Framing a technology question as a simple choice between developing an in- house application system and off-the- shelf proprietary system, or simply put, as a choice between build and buy, runs the risk of ignoring myriad options available in between the two extremes. In this era of cloud computing and run anything-as- a-service model, the very notion of developing an in-house application would raise a few eyebrows among C- level executives. How then can academic libraries, under mounting pressure to demonstrate their value (Oakleaf, 2010), justify investments in software development in particular? What follows in these sections is a brief discussion on the importance of investing in software development in libraries, three mini-case studies demonstrating the wide possibilities of integrating software development in library operations and a non- prescriptive model to assess which projects may be worth pursuing from the software development standpoint.

Construction of the “Internet Plus” Community Smart Elderly Care Service Platform

With the rapid development of China’s market economy and the increasing trend of population aging, the traditional community elderly care service model has exposed more and more problems, such as the imbalance between supply and demand, single service, and lack of flexibility. In response to these issues, this research attempts to explore the possible paths and practical challenges of applying the Internet, Internet of Things, mobile networks, big data, and cloud computing to community elderly care services. This research believes that the construction of the “Internet Plus” community smart elderly care services platform is a general trend. Innovating the traditional community elderly care service model is conducive to fully integrating elderly care resources and improving the quality of elderly care services.

Toward a Circular Economy in the Toy Industry: The Business Model of a Romanian Company

Nowadays, more and more business organizations are encouraged to find ways to produce high-quality products that are offered to users for their temporary enjoyment and then redistributed or sent to the next user pending. This is done without being conditioned to believe that we need to own something, use it for certain functions for a limited amount of time, and then throw it away. Toys are a perfect candidate for this approach. Given the lack of case studies explaining how companies can design and implement a circular economy in practice, especially in the toy industry, this study aimed to develop a case study based on Evertoys, a start-up operating in Romania, which is a country where the circular economy is only in an infancy phase. This study’s objective was to analyze this business model from the circular economy perspective. Regarding the methodology, the work followed the research strategy of the case study, which was developed by analyzing the opportunities and challenges of this toy-as-a-service model and taking into consideration the components of the Business Model Canvas. Our findings indicated the presence of driving factors, as well as barriers, in the implementation of circular economy practices.